Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865533/4865533_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1186 n_samples 999 confidence 0.01 feature_proportion 0.137590159535408 n_clusters 18
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865533/4865533_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865537/4865537_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4474 n_samples 4615 confidence 0.05 feature_proportion 0.5547795417550951 n_clusters 48
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865537/4865537_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865547/4865547_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2648 n_samples 2198 confidence 0.25 feature_proportion 0.8877811417859047 n_clusters 34
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865547/4865547_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865562/4865562_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1840 n_samples 3435 confidence 0.025 feature_proportion 0.30696970979869365 n_clusters 1
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865562/4865562_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865576/4865576_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2246 n_samples 1819 confidence 0.1 feature_proportion 0.6689020141996443 n_clusters 27
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865576/4865576_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865589/4865589_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3347 n_samples 2548 confidence 0.001 feature_proportion 0.025728968294337393 n_clusters 9
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865589/4865589_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865602/4865602_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3941 n_samples 601 confidence 0.001 feature_proportion 0.4186557201500982 n_clusters 23
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865602/4865602_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865617/4865617_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 321 n_samples 3788 confidence 0.005 feature_proportion 0.7734833639040589 n_clusters 44
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865617/4865617_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865625/4865625_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 165 n_samples 2158 confidence 0.05 feature_proportion 0.3404595703426749 n_clusters 40
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865625/4865625_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865637/4865637_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4098 n_samples 3461 confidence 0.25 feature_proportion 0.9759727882556617 n_clusters 20
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865637/4865637_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865659/4865659_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3503 n_samples 897 confidence 0.001 feature_proportion 0.5911627013832331 n_clusters 12
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865659/4865659_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865664/4865664_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2090 n_samples 4741 confidence 0.005 feature_proportion 0.22867524450831114 n_clusters 29
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865664/4865664_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865676/4865676_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1372 n_samples 6 confidence 0.01 feature_proportion 0.8714744644183665 n_clusters 5
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865676/4865676_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865687/4865687_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3118 n_samples 4358 confidence 0.005 feature_proportion 0.4465948143936694 n_clusters 37
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865687/4865687_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865697/4865697_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4942 n_samples 1326 confidence 0.1 feature_proportion 0.12271494526416063 n_clusters 45
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865697/4865697_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865710/4865710_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 716 n_samples 3058 confidence 0.05 feature_proportion 0.6958360927160829 n_clusters 16
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865710/4865710_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865723/4865723_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 896 n_samples 1526 confidence 0.25 feature_proportion 0.044856721991673114 n_clusters 14
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865723/4865723_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865730/4865730_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4775 n_samples 2838 confidence 0.025 feature_proportion 0.6490437793545425 n_clusters 46
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865730/4865730_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865744/4865744_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2948 n_samples 265 confidence 0.05 feature_proportion 0.7935855410844087 n_clusters 35
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865744/4865744_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865784/4865784_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1549 n_samples 4119 confidence 0.001 feature_proportion 0.3997713288050145 n_clusters 6
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865784/4865784_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865824/4865824_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1944 n_samples 629 confidence 0.025 feature_proportion 0.5132361888308078 n_clusters 31
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865824/4865824_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865828/4865828_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3636 n_samples 4991 confidence 0.005 feature_proportion 0.1818141659833491 n_clusters 11
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865828/4865828_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865838/4865838_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4234 n_samples 1948 confidence 0.005 feature_proportion 0.26250188184529544 n_clusters 22
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865838/4865838_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865850/4865850_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 22 n_samples 3690 confidence 0.01 feature_proportion 0.929081013387069 n_clusters 39
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865850/4865850_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865864/4865864_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 490 n_samples 380 confidence 0.1 feature_proportion 0.4966659919135272 n_clusters 42
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865864/4865864_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865876/4865876_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3764 n_samples 3988 confidence 0.005 feature_proportion 0.8201845492962748 n_clusters 24
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865876/4865876_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865913/4865913_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3168 n_samples 1581 confidence 0.025 feature_proportion 0.7468825413864106 n_clusters 7
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865913/4865913_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865967/4865967_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2413 n_samples 2808 confidence 0.05 feature_proportion 0.07239992950856686 n_clusters 28
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4865967/4865967_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866003/4866003_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1705 n_samples 2448 confidence 0.05 feature_proportion 0.9658601787127554 n_clusters 3
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866003/4866003_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866023/4866023_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2792 n_samples 3167 confidence 0.01 feature_proportion 0.35373918447084723 n_clusters 33
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866023/4866023_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866036/4866036_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4620 n_samples 1227 confidence 0.25 feature_proportion 0.2156389778610319 n_clusters 50
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866036/4866036_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866048/4866048_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1052 n_samples 4405 confidence 0.1 feature_proportion 0.6015192681327463 n_clusters 17
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866048/4866048_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866061/4866061_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 987 n_samples 2289 confidence 0.005 feature_proportion 0.17022797672636808 n_clusters 9
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866061/4866061_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866073/4866073_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4607 n_samples 3330 confidence 0.025 feature_proportion 0.5250425931699574 n_clusters 26
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866073/4866073_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866081/4866081_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2681 n_samples 1070 confidence 0.001 feature_proportion 0.9175258216187357 n_clusters 43
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866081/4866081_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866092/4866092_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1581 n_samples 4569 confidence 0.25 feature_proportion 0.2743391535487026 n_clusters 23
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866092/4866092_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866103/4866103_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2426 n_samples 530 confidence 0.001 feature_proportion 0.6372083535585552 n_clusters 48
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866103/4866103_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866116/4866116_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3234 n_samples 3834 confidence 0.1 feature_proportion 0.05641006785258651 n_clusters 19
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866116/4866116_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866138/4866138_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3889 n_samples 1729 confidence 0.05 feature_proportion 0.3879668856263161 n_clusters 2
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866138/4866138_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866173/4866173_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 600 n_samples 2654 confidence 0.01 feature_proportion 0.8051697691809386 n_clusters 34
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866173/4866173_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866270/4866270_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 132 n_samples 787 confidence 0.1 feature_proportion 0.373089769680053 n_clusters 37
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866270/4866270_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866284/4866284_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4358 n_samples 4826 confidence 0.01 feature_proportion 0.9462282273937017 n_clusters 4
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866284/4866284_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866300/4866300_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3702 n_samples 2107 confidence 0.025 feature_proportion 0.6208997689392418 n_clusters 15
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866300/4866300_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866349/4866349_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1956 n_samples 3527 confidence 0.01 feature_proportion 0.19603707226365805 n_clusters 45
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866349/4866349_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866375/4866375_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1425 n_samples 1377 confidence 0.005 feature_proportion 0.8397884160540998 n_clusters 20
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866375/4866375_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866426/4866426_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2838 n_samples 2992 confidence 0.25 feature_proportion 0.4772835299465805 n_clusters 41
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866426/4866426_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866509/4866509_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4763 n_samples 115 confidence 0.001 feature_proportion 0.09203372673504055 n_clusters 30
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866509/4866509_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866573/4866573_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 830 n_samples 4272 confidence 0.01 feature_proportion 0.727530110269785 n_clusters 12
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866573/4866573_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866602/4866602_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 684 n_samples 160 confidence 0.025 feature_proportion 0.01413766886666417 n_clusters 10
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866602/4866602_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866622/4866622_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4896 n_samples 4209 confidence 0.25 feature_proportion 0.6806994901467115 n_clusters 31
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866622/4866622_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866645/4866645_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2974 n_samples 1479 confidence 0.01 feature_proportion 0.7619220990445464 n_clusters 39
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866645/4866645_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866652/4866652_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1282 n_samples 2908 confidence 0.1 feature_proportion 0.4304831228479743 n_clusters 21
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866652/4866652_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866659/4866659_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2136 n_samples 1994 confidence 0.25 feature_proportion 0.5429501741789281 n_clusters 47
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866659/4866659_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866671/4866671_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3535 n_samples 3619 confidence 0.05 feature_proportion 0.14915339113213122 n_clusters 14
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866671/4866671_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866681/4866681_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4189 n_samples 734 confidence 0.05 feature_proportion 0.29517039166204634 n_clusters 6
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866681/4866681_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866689/4866689_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 309 n_samples 4900 confidence 0.025 feature_proportion 0.8993742834031582 n_clusters 36
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866689/4866689_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866735/4866735_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 465 n_samples 1667 confidence 0.025 feature_proportion 0.4659545547831804 n_clusters 32
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866735/4866735_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866770/4866770_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4032 n_samples 2698 confidence 0.1 feature_proportion 0.851847872365266 n_clusters 3
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866770/4866770_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866815/4866815_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3379 n_samples 446 confidence 0.25 feature_proportion 0.7152267116233706 n_clusters 17
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866815/4866815_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866822/4866822_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2293 n_samples 3937 confidence 0.001 feature_proportion 0.10311933954618871 n_clusters 49
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866822/4866822_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866834/4866834_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1750 n_samples 1162 confidence 0.05 feature_proportion 0.9955665517840534 n_clusters 25
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866834/4866834_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866838/4866838_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2505 n_samples 4457 confidence 0.001 feature_proportion 0.3210707936249673 n_clusters 42
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866838/4866838_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866849/4866849_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4428 n_samples 2362 confidence 0.01 feature_proportion 0.24829987168312073 n_clusters 28
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866849/4866849_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866870/4866870_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1153 n_samples 3277 confidence 0.25 feature_proportion 0.5718049258720129 n_clusters 8
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866870/4866870_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866879/4866879_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1132 n_samples 1794 confidence 0.025 feature_proportion 0.19505414236336946 n_clusters 29
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866879/4866879_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866889/4866889_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4381 n_samples 2589 confidence 0.001 feature_proportion 0.6121370809730142 n_clusters 12
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866889/4866889_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866988/4866988_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1787 n_samples 3889 confidence 0.25 feature_proportion 0.36237738708034156 n_clusters 40
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866988/4866988_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867059/4867059_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2339 n_samples 1054 confidence 0.25 feature_proportion 0.7246150934249163 n_clusters 15
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867059/4867059_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867129/4867129_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3401 n_samples 4585 confidence 0.1 feature_proportion 0.0813046882133931 n_clusters 46
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867129/4867129_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867145/4867145_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3995 n_samples 2314 confidence 0.25 feature_proportion 0.476317255968228 n_clusters 38
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867145/4867145_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867155/4867155_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 413 n_samples 3304 confidence 0.05 feature_proportion 0.8310081203989684 n_clusters 5
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867155/4867155_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867162/4867162_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 258 n_samples 132 confidence 0.025 feature_proportion 0.27337096116505566 n_clusters 1
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867162/4867162_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867177/4867177_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4152 n_samples 4256 confidence 0.05 feature_proportion 0.9087474443688989 n_clusters 34
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867177/4867177_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867186/4867186_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3557 n_samples 1352 confidence 0.25 feature_proportion 0.5221256579197944 n_clusters 47
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867186/4867186_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867198/4867198_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2182 n_samples 3018 confidence 0.01 feature_proportion 0.15950085661001503 n_clusters 18
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867198/4867198_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867210/4867210_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1319 n_samples 2043 confidence 0.025 feature_proportion 0.8022390333097428 n_clusters 43
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867210/4867210_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867256/4867256_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3025 n_samples 3592 confidence 0.005 feature_proportion 0.37725261436402796 n_clusters 24
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867256/4867256_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867284/4867284_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4849 n_samples 842 confidence 0.05 feature_proportion 0.0554290266148746 n_clusters 10
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867284/4867284_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867297/4867297_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 663 n_samples 4771 confidence 0.25 feature_proportion 0.6284437769297511 n_clusters 27
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867297/4867297_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866949/4866949_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2556 n_samples 475 confidence 0.001 feature_proportion 0.9432956028599292 n_clusters 19
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4866949/4866949_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867454/4867454_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 793 n_samples 760 confidence 0.01 feature_proportion 0.10213782242499292 n_clusters 27
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867454/4867454_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867478/4867478_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4712 n_samples 4875 confidence 0.1 feature_proportion 0.7064616591110826 n_clusters 8
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867478/4867478_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867510/4867510_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2885 n_samples 1978 confidence 0.025 feature_proportion 0.8489176123775541 n_clusters 24
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867510/4867510_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867529/4867529_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1447 n_samples 3635 confidence 0.005 feature_proportion 0.45524075940437614 n_clusters 41
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867529/4867529_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867537/4867537_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2008 n_samples 1424 confidence 0.001 feature_proportion 0.568887514738366 n_clusters 17
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867537/4867537_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867549/4867549_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3739 n_samples 2964 confidence 0.005 feature_proportion 0.23757227568328382 n_clusters 50
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867549/4867549_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867564/4867564_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4336 n_samples 225 confidence 0.025 feature_proportion 0.32010307712480424 n_clusters 33
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867564/4867564_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867568/4867568_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 86 n_samples 4145 confidence 0.001 feature_proportion 0.9867886504177004 n_clusters 4
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867568/4867568_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867584/4867584_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 554 n_samples 2417 confidence 0.001 feature_proportion 0.42951732475310567 n_clusters 5
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867584/4867584_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867599/4867599_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3867 n_samples 3221 confidence 0.025 feature_proportion 0.753142279272899 n_clusters 36
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867599/4867599_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867607/4867607_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3271 n_samples 1097 confidence 0.01 feature_proportion 0.6777839974183589 n_clusters 46
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867607/4867607_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867622/4867622_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2477 n_samples 4521 confidence 0.1 feature_proportion 0.003408154461532831 n_clusters 13
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867622/4867622_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867631/4867631_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1602 n_samples 421 confidence 0.1 feature_proportion 0.8964421347528696 n_clusters 39
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867631/4867631_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867647/4867647_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2728 n_samples 3962 confidence 0.25 feature_proportion 0.28445848494581877 n_clusters 22
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867647/4867647_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867658/4867658_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4556 n_samples 1682 confidence 0.001 feature_proportion 0.14816998534835876 n_clusters 11
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867658/4867658_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867669/4867669_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 950 n_samples 2682 confidence 0.005 feature_proportion 0.5341870103292167 n_clusters 32
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867669/4867669_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867685/4867685_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1079 n_samples 585 confidence 0.05 feature_proportion 0.22574309585802257 n_clusters 45
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867685/4867685_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867723/4867723_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4661 n_samples 3804 confidence 0.1 feature_proportion 0.5804507946670056 n_clusters 15
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867723/4867723_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867747/4867747_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2735 n_samples 1845 confidence 0.025 feature_proportion 0.9749893824718893 n_clusters 4
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867747/4867747_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867758/4867758_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1673 n_samples 2523 confidence 0.001 feature_proportion 0.33169640649296345 n_clusters 36
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867758/4867758_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867786/4867786_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2372 n_samples 2263 confidence 0.01 feature_proportion 0.6948702946212143 n_clusters 13
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867786/4867786_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867796/4867796_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3141 n_samples 3370 confidence 0.001 feature_proportion 0.11393512549251318 n_clusters 29
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867796/4867796_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867810/4867810_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3796 n_samples 944 confidence 0.1 feature_proportion 0.4436793216653168 n_clusters 41
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867810/4867810_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867821/4867821_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 547 n_samples 4671 confidence 0.05 feature_proportion 0.8607449500132353 n_clusters 21
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867821/4867821_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867832/4867832_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 79 n_samples 1261 confidence 0.01 feature_proportion 0.3040522986650467 n_clusters 23
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867832/4867832_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867842/4867842_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4265 n_samples 3123 confidence 0.05 feature_proportion 0.8770535457860679 n_clusters 43
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867842/4867842_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867856/4867856_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3609 n_samples 61 confidence 0.005 feature_proportion 0.553811825254932 n_clusters 26
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867856/4867856_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867869/4867869_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1903 n_samples 4302 confidence 0.1 feature_proportion 0.12881226002797486 n_clusters 8
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867869/4867869_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867881/4867881_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1518 n_samples 913 confidence 0.005 feature_proportion 0.7725018467828632 n_clusters 35
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867881/4867881_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867895/4867895_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2892 n_samples 4725 confidence 0.025 feature_proportion 0.4098906676378101 n_clusters 1
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867895/4867895_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867908/4867908_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4816 n_samples 2133 confidence 0.25 feature_proportion 0.022798708306625486 n_clusters 19
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867908/4867908_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867923/4867923_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 923 n_samples 3486 confidence 0.001 feature_proportion 0.6581882188208401 n_clusters 49
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867923/4867923_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867932/4867932_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 748 n_samples 1893 confidence 0.1 feature_proportion 0.06946919363737106 n_clusters 50
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867932/4867932_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867951/4867951_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4999 n_samples 3744 confidence 0.01 feature_proportion 0.7361682701241224 n_clusters 16
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867951/4867951_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867997/4867997_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3077 n_samples 693 confidence 0.005 feature_proportion 0.8192035080585629 n_clusters 2
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4867997/4867997_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868020/4868020_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1345 n_samples 4926 confidence 0.05 feature_proportion 0.48790141528472303 n_clusters 32
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868020/4868020_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868034/4868034_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2033 n_samples 290 confidence 0.005 feature_proportion 0.6005510757490993 n_clusters 8
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868034/4868034_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868042/4868042_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3471 n_samples 4093 confidence 0.01 feature_proportion 0.20686060061119496 n_clusters 28
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868042/4868042_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868055/4868055_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4125 n_samples 1509 confidence 0.001 feature_proportion 0.35082224922068417 n_clusters 43
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868055/4868055_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868068/4868068_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 206 n_samples 2853 confidence 0.25 feature_proportion 0.9551330585964024 n_clusters 25
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868068/4868068_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868181/4868181_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 362 n_samples 1202 confidence 0.005 feature_proportion 0.3968563119601458 n_clusters 22
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868181/4868181_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868200/4868200_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3968 n_samples 4431 confidence 0.01 feature_proportion 0.7828565025627613 n_clusters 38
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868200/4868200_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868208/4868208_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3316 n_samples 2464 confidence 0.05 feature_proportion 0.6480775053761899 n_clusters 30
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868208/4868208_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868268/4868268_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2190 n_samples 3151 confidence 0.025 feature_proportion 0.036076426336541775 n_clusters 10
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868268/4868268_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868285/4868285_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1813 n_samples 1636 confidence 0.001 feature_proportion 0.9280980834867806 n_clusters 36
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868285/4868285_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868297/4868297_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2607 n_samples 2753 confidence 0.1 feature_proportion 0.2537391938790679 n_clusters 6
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868297/4868297_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868307/4868307_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4531 n_samples 316 confidence 0.005 feature_proportion 0.1788815414495766 n_clusters 15
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868307/4868307_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868323/4868323_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1217 n_samples 4053 confidence 0.01 feature_proportion 0.5025238062310964 n_clusters 47
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868323/4868323_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868336/4868336_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1243 n_samples 2084 confidence 0.25 feature_proportion 0.9798712424859405 n_clusters 39
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868336/4868336_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868359/4868359_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4493 n_samples 3555 confidence 0.005 feature_proportion 0.3365611123945564 n_clusters 21
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868359/4868359_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868398/4868398_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2591 n_samples 805 confidence 0.025 feature_proportion 0.23257366527803242 n_clusters 10
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868398/4868398_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868445/4868445_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1821 n_samples 4813 confidence 0.01 feature_proportion 0.5872642843313515 n_clusters 31
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868445/4868445_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868486/4868486_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2226 n_samples 90 confidence 0.05 feature_proportion 0.4504932909309864 n_clusters 6
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868486/4868486_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868499/4868499_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3288 n_samples 4292 confidence 0.25 feature_proportion 0.8675759841632098 n_clusters 36
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868499/4868499_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868511/4868511_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3962 n_samples 1388 confidence 0.001 feature_proportion 0.6997344911787658 n_clusters 47
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868511/4868511_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868523/4868523_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 380 n_samples 2976 confidence 0.005 feature_proportion 0.11881655051931739 n_clusters 14
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868523/4868523_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868535/4868535_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 223 n_samples 1090 confidence 0.005 feature_proportion 0.558677929064259 n_clusters 17
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868535/4868535_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868544/4868544_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4117 n_samples 4544 confidence 0.025 feature_proportion 0.13369177036732435 n_clusters 49
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868544/4868544_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868554/4868554_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3445 n_samples 2273 confidence 0.001 feature_proportion 0.3108681974895299 n_clusters 32
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868554/4868554_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868565/4868565_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2070 n_samples 3341 confidence 0.25 feature_proportion 0.8838826578129083 n_clusters 3
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868565/4868565_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868633/4868633_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1352 n_samples 1757 confidence 0.001 feature_proportion 0.029627392781898382 n_clusters 28
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868633/4868633_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868652/4868652_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3059 n_samples 2630 confidence 0.005 feature_proportion 0.6650035859942436 n_clusters 8
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868652/4868652_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868665/4868665_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4962 n_samples 517 confidence 0.1 feature_proportion 0.7773818144164979 n_clusters 25
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868665/4868665_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868672/4868672_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 775 n_samples 3853 confidence 0.01 feature_proportion 0.4147572733554989 n_clusters 42
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868672/4868672_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868690/4868690_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 916 n_samples 462 confidence 0.05 feature_proportion 0.8240829960908741 n_clusters 43
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868690/4868690_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868700/4868700_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4834 n_samples 3926 confidence 0.25 feature_proportion 0.49276754140108825 n_clusters 23
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868700/4868700_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868721/4868721_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2928 n_samples 1646 confidence 0.01 feature_proportion 0.07629835771396756 n_clusters 9
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868721/4868721_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868763/4868763_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1490 n_samples 2724 confidence 0.001 feature_proportion 0.7429841168988496 n_clusters 26
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868763/4868763_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868783/4868783_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1886 n_samples 2376 confidence 0.025 feature_proportion 0.3576376684438437 n_clusters 2
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868783/4868783_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868791/4868791_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3617 n_samples 3258 confidence 0.1 feature_proportion 0.9619616910219192 n_clusters 34
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868791/4868791_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868802/4868802_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4291 n_samples 1134 confidence 0.01 feature_proportion 0.6054176591597498 n_clusters 48
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868802/4868802_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868816/4868816_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 41 n_samples 4480 confidence 0.05 feature_proportion 0.21174059055186809 n_clusters 19
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868816/4868816_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868828/4868828_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 511 n_samples 1461 confidence 0.1 feature_proportion 0.6529421740993857 n_clusters 15
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868828/4868828_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868843/4868843_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3823 n_samples 2922 confidence 0.001 feature_proportion 0.04095832352899015 n_clusters 45
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868843/4868843_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868855/4868855_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3148 n_samples 183 confidence 0.005 feature_proportion 0.40366980906017125 n_clusters 37
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868855/4868855_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868868/4868868_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2354 n_samples 4181 confidence 0.025 feature_proportion 0.7896870645470917 n_clusters 4
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868868/4868868_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868880/4868880_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1647 n_samples 723 confidence 0.25 feature_proportion 0.18571258303523064 n_clusters 30
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868880/4868880_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868890/4868890_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2772 n_samples 4916 confidence 0.05 feature_proportion 0.5093377680610865 n_clusters 12
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868890/4868890_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868906/4868906_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4677 n_samples 2020 confidence 0.05 feature_proportion 0.9329794713351875 n_clusters 20
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868906/4868906_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868921/4868921_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1072 n_samples 3598 confidence 0.025 feature_proportion 0.2586034276150167 n_clusters 41
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868921/4868921_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868969/4868969_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 966 n_samples 871 confidence 0.01 feature_proportion 0.9501266816239804 n_clusters 35
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868969/4868969_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868994/4868994_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4548 n_samples 4762 confidence 0.25 feature_proportion 0.36919131173193453 n_clusters 6
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4868994/4868994_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869011/4869011_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2702 n_samples 2169 confidence 0.001 feature_proportion 0.19993549303337932 n_clusters 14
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869011/4869011_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869030/4869030_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1640 n_samples 3445 confidence 0.05 feature_proportion 0.6170013518873602 n_clusters 46
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869030/4869030_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869038/4869038_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2484 n_samples 1303 confidence 0.025 feature_proportion 0.4811820064838976 n_clusters 22
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869038/4869038_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869054/4869054_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3253 n_samples 3086 confidence 0.1 feature_proportion 0.835889935798943 n_clusters 39
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869054/4869054_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869075/4869075_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3831 n_samples 24 confidence 0.005 feature_proportion 0.7314285087324679 n_clusters 31
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869075/4869075_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869088/4869088_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 581 n_samples 4344 confidence 0.025 feature_proportion 0.0881353319901973 n_clusters 11
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869088/4869088_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869100/4869100_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 112 n_samples 2226 confidence 0.001 feature_proportion 0.5289409804791212 n_clusters 7
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869100/4869100_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869119/4869119_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4299 n_samples 3411 confidence 0.05 feature_proportion 0.16632958569936454 n_clusters 28
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869119/4869119_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869130/4869130_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3722 n_samples 985 confidence 0.005 feature_proportion 0.2782376412395388 n_clusters 42
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869130/4869130_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869145/4869145_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2015 n_samples 4634 confidence 0.025 feature_proportion 0.9136273376457393 n_clusters 24
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869145/4869145_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869160/4869160_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1483 n_samples 621 confidence 0.01 feature_proportion 0.0603084923401475 n_clusters 50
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869160/4869160_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869182/4869182_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2857 n_samples 3762 confidence 0.05 feature_proportion 0.6333099253531546 n_clusters 17
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869182/4869182_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869208/4869208_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4705 n_samples 1804 confidence 0.001 feature_proportion 0.8090682196933776 n_clusters 3
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869208/4869208_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869253/4869253_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 811 n_samples 2559 confidence 0.025 feature_proportion 0.38406843883171676 n_clusters 33
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869253/4869253_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869303/4869303_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 626 n_samples 1594 confidence 0.05 feature_proportion 0.8557463191598654 n_clusters 34
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869303/4869303_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869323/4869323_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4877 n_samples 2789 confidence 0.01 feature_proportion 0.46205610427074134 n_clusters 1
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869323/4869323_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869338/4869338_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3032 n_samples 352 confidence 0.025 feature_proportion 0.10701776775158942 n_clusters 18
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869338/4869338_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869355/4869355_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1301 n_samples 4011 confidence 0.25 feature_proportion 0.7113282871358096 n_clusters 48
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869355/4869355_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869467/4869467_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2156 n_samples 1243 confidence 0.005 feature_proportion 0.3249692775979638 n_clusters 23
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869467/4869467_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869481/4869481_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3594 n_samples 4394 confidence 0.01 feature_proportion 0.9916680640932173 n_clusters 44
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869481/4869481_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869488/4869488_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4168 n_samples 2427 confidence 0.25 feature_proportion 0.5757033168990165 n_clusters 27
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869488/4869488_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869505/4869505_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 250 n_samples 3192 confidence 0.001 feature_proportion 0.24440148437395692 n_clusters 9
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869505/4869505_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869513/4869513_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 407 n_samples 254 confidence 0.25 feature_proportion 0.6845978848915547 n_clusters 12
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869513/4869513_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869525/4869525_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4013 n_samples 4135 confidence 0.05 feature_proportion 0.010239270403981208 n_clusters 29
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869525/4869525_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869539/4869539_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3437 n_samples 1551 confidence 0.025 feature_proportion 0.43438160310313106 n_clusters 40
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869539/4869539_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869551/4869551_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2312 n_samples 2817 confidence 0.001 feature_proportion 0.7580236225072294 n_clusters 20
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869551/4869551_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869567/4869567_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1770 n_samples 1930 confidence 0.1 feature_proportion 0.15305180818401276 n_clusters 45
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869567/4869567_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869583/4869583_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2563 n_samples 3703 confidence 0.01 feature_proportion 0.5390517534092069 n_clusters 16
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869583/4869583_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869600/4869600_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4407 n_samples 652 confidence 0.1 feature_proportion 0.9032727413512767 n_clusters 5
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869600/4869600_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869635/4869635_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1095 n_samples 4963 confidence 0.25 feature_proportion 0.2912719374317676 n_clusters 37
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869635/4869635_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869691/4869691_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4440 n_samples 4321 confidence 0.001 feature_proportion 0.26947257385589185 n_clusters 32
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869691/4869691_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869702/4869702_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2537 n_samples 1289 confidence 0.05 feature_proportion 0.1633993405830115 n_clusters 49
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869702/4869702_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869680/4869680_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1151 n_samples 47 confidence 0.1 feature_proportion 0.9126458353959024 n_clusters 2
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869680/4869680_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869756/4869756_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1729 n_samples 3099 confidence 0.25 feature_proportion 0.5182271702289581 n_clusters 16
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869756/4869756_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869784/4869784_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2280 n_samples 2117 confidence 0.01 feature_proportion 0.38115104256942867 n_clusters 42
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869784/4869784_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869813/4869813_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3381 n_samples 3497 confidence 0.025 feature_proportion 0.7983406088221818 n_clusters 25
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869813/4869813_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869888/4869888_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4054 n_samples 933 confidence 0.25 feature_proportion 0.6323422237243503 n_clusters 8
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869888/4869888_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869922/4869922_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 433 n_samples 4699 confidence 0.005 feature_proportion 0.05153057610243559 n_clusters 29
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869922/4869922_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869949/4869949_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 276 n_samples 1856 confidence 0.01 feature_proportion 0.6160355389211327 n_clusters 31
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869949/4869949_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869957/4869957_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4210 n_samples 2507 confidence 0.025 feature_proportion 0.19115568813309072 n_clusters 11
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869957/4869957_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869968/4869968_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3538 n_samples 560 confidence 0.1 feature_proportion 0.3662758041322231 n_clusters 21
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869968/4869968_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869982/4869982_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2124 n_samples 3825 confidence 0.005 feature_proportion 0.939397182090208 n_clusters 38
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4869982/4869982_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870057/4870057_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3005 n_samples 4657 confidence 0.1 feature_proportion 0.7207166168875992 n_clusters 47
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870057/4870057_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870068/4870068_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4909 n_samples 2240 confidence 0.025 feature_proportion 0.8349065151438118 n_clusters 36
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870068/4870068_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870014/4870014_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1259 n_samples 962 confidence 0.05 feature_proportion 0.08520316846854985 n_clusters 14
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870014/4870014_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870085/4870085_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 682 n_samples 3398 confidence 0.1 feature_proportion 0.472418857505545 n_clusters 7
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870085/4870085_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870118/4870118_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 852 n_samples 2489 confidence 0.005 feature_proportion 0.757040677735582 n_clusters 4
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870118/4870118_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870158/4870158_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4731 n_samples 3130 confidence 0.05 feature_proportion 0.4256189300082624 n_clusters 37
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870158/4870158_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870169/4870169_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2825 n_samples 1191 confidence 0.001 feature_proportion 0.007306630998849869 n_clusters 44
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870169/4870169_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870185/4870185_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1427 n_samples 4447 confidence 0.025 feature_proportion 0.6738855171632022 n_clusters 15
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870185/4870185_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870196/4870196_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1989 n_samples 339 confidence 0.001 feature_proportion 0.28835690571554007 n_clusters 40
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870196/4870196_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870208/4870208_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3680 n_samples 4025 confidence 0.01 feature_proportion 0.8925437177009881 n_clusters 20
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870208/4870208_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870230/4870230_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4355 n_samples 1618 confidence 0.1 feature_proportion 0.5380854645594955 n_clusters 13
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870230/4870230_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870287/4870287_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 613 n_samples 665 confidence 0.025 feature_proportion 0.7103601096235216 n_clusters 26
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870287/4870287_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870302/4870302_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3887 n_samples 4949 confidence 0.005 feature_proportion 0.09823937563039363 n_clusters 9
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870302/4870302_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870273/4870273_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 144 n_samples 2766 confidence 0.025 feature_proportion 0.1442715274002403 n_clusters 30
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870273/4870273_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870317/4870317_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3211 n_samples 1906 confidence 0.25 feature_proportion 0.45913918389193714 n_clusters 22
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870317/4870317_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870331/4870331_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2457 n_samples 3726 confidence 0.1 feature_proportion 0.8450191841721535 n_clusters 43
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870331/4870331_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870356/4870356_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1584 n_samples 1489 confidence 0.1 feature_proportion 0.24147076337412 n_clusters 19
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870356/4870356_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870366/4870366_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2670 n_samples 2879 confidence 0.01 feature_proportion 0.5649890307653695 n_clusters 49
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870366/4870366_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870378/4870378_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4574 n_samples 306 confidence 0.001 feature_proportion 0.9906870377268642 n_clusters 35
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870378/4870378_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870403/4870403_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1008 n_samples 4082 confidence 0.25 feature_proportion 0.3162046860978007 n_clusters 2
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870403/4870403_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870443/4870443_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1020 n_samples 1336 confidence 0.005 feature_proportion 0.8809519368130714 n_clusters 25
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870443/4870443_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870488/4870488_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4641 n_samples 3029 confidence 0.1 feature_proportion 0.3001539113558829 n_clusters 42
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870488/4870488_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870521/4870521_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2794 n_samples 152 confidence 0.25 feature_proportion 0.13271074400097133 n_clusters 27
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870521/4870521_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870542/4870542_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1693 n_samples 4231 confidence 0.025 feature_proportion 0.5499133375640959 n_clusters 7
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870542/4870542_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870580/4870580_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2391 n_samples 829 confidence 0.025 feature_proportion 0.41378909584321083 n_clusters 33
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870580/4870580_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870675/4870675_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3199 n_samples 4790 confidence 0.05 feature_proportion 0.7686034222953021 n_clusters 3
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870675/4870675_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870711/4870711_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3777 n_samples 2071 confidence 0.005 feature_proportion 0.6620866656154394 n_clusters 18
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870711/4870711_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870753/4870753_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 488 n_samples 3569 confidence 0.01 feature_proportion 0.018900257794186474 n_clusters 50
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870753/4870753_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870785/4870785_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 19 n_samples 493 confidence 0.025 feature_proportion 0.5843492526151239 n_clusters 47
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870785/4870785_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870794/4870794_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4245 n_samples 3876 confidence 0.001 feature_proportion 0.22184464162774384 n_clusters 13
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870794/4870794_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870802/4870802_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3669 n_samples 1771 confidence 0.005 feature_proportion 0.335594823544845 n_clusters 5
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870802/4870802_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870811/4870811_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1923 n_samples 2617 confidence 0.01 feature_proportion 0.971090961702168 n_clusters 35
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870811/4870811_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870821/4870821_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1536 n_samples 2325 confidence 0.25 feature_proportion 0.11783360574766993 n_clusters 11
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870821/4870821_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870831/4870831_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2950 n_samples 3288 confidence 0.01 feature_proportion 0.6909718180838972 n_clusters 31
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870831/4870831_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870835/4870835_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4798 n_samples 1028 confidence 0.1 feature_proportion 0.8646433447580785 n_clusters 40
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870835/4870835_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870846/4870846_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 864 n_samples 4606 confidence 0.001 feature_proportion 0.43978092320263384 n_clusters 22
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870846/4870846_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870869/4870869_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 729 n_samples 1120 confidence 0.001 feature_proportion 0.7867549010254443 n_clusters 20
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870869/4870869_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870875/4870875_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4940 n_samples 4493 confidence 0.05 feature_proportion 0.3929579172153026 n_clusters 40
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870875/4870875_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870889/4870889_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3095 n_samples 2399 confidence 0.005 feature_proportion 0.03997490287385881 n_clusters 29
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870889/4870889_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870897/4870897_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1404 n_samples 3235 confidence 0.001 feature_proportion 0.6441790251210332 n_clusters 11
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870897/4870897_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870905/4870905_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2092 n_samples 1708 confidence 0.005 feature_proportion 0.25763761464878915 n_clusters 38
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870905/4870905_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870912/4870912_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3491 n_samples 2661 confidence 0.25 feature_proportion 0.9241996664348989 n_clusters 4
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870912/4870912_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870922/4870922_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4066 n_samples 410 confidence 0.01 feature_proportion 0.5064222604613751 n_clusters 16
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870922/4870922_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870936/4870936_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 186 n_samples 3978 confidence 0.1 feature_proportion 0.17498308350145816 n_clusters 46
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870936/4870936_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870945/4870945_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 343 n_samples 1958 confidence 0.005 feature_proportion 0.7400667206365615 n_clusters 48
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870945/4870945_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870962/4870962_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3910 n_samples 3661 confidence 0.001 feature_proportion 0.06557074684277177 n_clusters 18
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870962/4870962_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870976/4870976_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3334 n_samples 775 confidence 0.1 feature_proportion 0.49179983977228403 n_clusters 1
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870976/4870976_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870993/4870993_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2248 n_samples 4864 confidence 0.25 feature_proportion 0.8153050798531621 n_clusters 33
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4870993/4870993_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871010/4871010_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1873 n_samples 197 confidence 0.001 feature_proportion 0.21075908830203116 n_clusters 9
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871010/4871010_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871023/4871023_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2627 n_samples 4168 confidence 0.1 feature_proportion 0.5966525917761027 n_clusters 26
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871023/4871023_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871036/4871036_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4471 n_samples 1438 confidence 0.025 feature_proportion 0.9590314459055662 n_clusters 44
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871036/4871036_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871054/4871054_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1197 n_samples 2945 confidence 0.05 feature_proportion 0.34692385819368066 n_clusters 24
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871054/4871054_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871068/4871068_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1205 n_samples 1428 confidence 0.05 feature_proportion 0.40108238966204224 n_clusters 13
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871068/4871068_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871087/4871087_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4455 n_samples 2936 confidence 0.1 feature_proportion 0.7948937466405332 n_clusters 30
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871087/4871087_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871100/4871100_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2629 n_samples 206 confidence 0.01 feature_proportion 0.6513284941017627 n_clusters 41
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871100/4871100_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871117/4871117_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1860 n_samples 4177 confidence 0.05 feature_proportion 0.04714048497192562 n_clusters 20
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871117/4871117_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871159/4871159_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2266 n_samples 765 confidence 0.005 feature_proportion 0.9326430031228811 n_clusters 45
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871159/4871159_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871169/4871169_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3328 n_samples 4853 confidence 0.001 feature_proportion 0.2660667268820107 n_clusters 15
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871169/4871169_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871187/4871187_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3922 n_samples 1968 confidence 0.1 feature_proportion 0.1824532756432891 n_clusters 4
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871187/4871187_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871196/4871196_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 340 n_samples 3671 confidence 0.025 feature_proportion 0.5138762502577155 n_clusters 37
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871196/4871196_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871210/4871210_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 184 n_samples 401 confidence 0.005 feature_proportion 0.07401555579528213 n_clusters 34
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871210/4871210_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871226/4871226_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4079 n_samples 3969 confidence 0.001 feature_proportion 0.7484953123722226 n_clusters 2
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871226/4871226_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871236/4871236_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3484 n_samples 1717 confidence 0.05 feature_proportion 0.8227738294731826 n_clusters 19
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871236/4871236_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871249/4871249_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2109 n_samples 2671 confidence 0.1 feature_proportion 0.4992543203234673 n_clusters 48
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871249/4871249_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871259/4871259_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1392 n_samples 2389 confidence 0.025 feature_proportion 0.6047766924388707 n_clusters 23
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871259/4871259_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871273/4871273_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3099 n_samples 3225 confidence 0.25 feature_proportion 0.21889925746805966 n_clusters 43
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871273/4871273_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871287/4871287_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4923 n_samples 1131 confidence 0.01 feature_proportion 0.35407372870109977 n_clusters 26
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871287/4871287_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871304/4871304_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 736 n_samples 4504 confidence 0.001 feature_proportion 0.9661956747099757 n_clusters 9
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871304/4871304_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871324/4871324_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 876 n_samples 1018 confidence 0.05 feature_proportion 0.30736517083272336 n_clusters 8
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871324/4871324_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871331/4871331_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4794 n_samples 4596 confidence 0.025 feature_proportion 0.8881775545869023 n_clusters 28
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871331/4871331_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871349/4871349_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2968 n_samples 2336 confidence 0.025 feature_proportion 0.5580978754293173 n_clusters 42
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871349/4871349_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871364/4871364_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1530 n_samples 3299 confidence 0.01 feature_proportion 0.14091135036945343 n_clusters 25
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871364/4871364_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871397/4871397_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1925 n_samples 1762 confidence 0.25 feature_proportion 0.7760117347128689 n_clusters 49
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871397/4871397_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871426/4871426_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3656 n_samples 2608 confidence 0.01 feature_proportion 0.42118313919194045 n_clusters 17
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871426/4871426_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871455/4871455_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4253 n_samples 503 confidence 0.005 feature_proportion 0.027283677777275445 n_clusters 3
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871455/4871455_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871479/4871479_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3 n_samples 3885 confidence 0.05 feature_proportion 0.6704538683816791 n_clusters 32
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871479/4871479_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871535/4871535_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 471 n_samples 2060 confidence 0.1 feature_proportion 0.2292534448001534 n_clusters 36
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871535/4871535_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871568/4871568_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3784 n_samples 3558 confidence 0.05 feature_proportion 0.5917418534420431 n_clusters 6
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871568/4871568_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871588/4871588_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3187 n_samples 839 confidence 0.025 feature_proportion 0.9794738611876964 n_clusters 14
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871588/4871588_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871605/4871605_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2394 n_samples 4800 confidence 0.01 feature_proportion 0.3439634985756129 n_clusters 47
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871605/4871605_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871657/4871657_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1685 n_samples 143 confidence 0.001 feature_proportion 0.6981817242670805 n_clusters 21
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871657/4871657_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871681/4871681_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2811 n_samples 4221 confidence 0.1 feature_proportion 0.12505962504819035 n_clusters 38
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871681/4871681_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871699/4871699_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4639 n_samples 1345 confidence 0.025 feature_proportion 0.4479667846187949 n_clusters 31
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871699/4871699_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871718/4871718_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1033 n_samples 3038 confidence 0.01 feature_proportion 0.8728435793425888 n_clusters 10
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871718/4871718_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871729/4871729_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1006 n_samples 296 confidence 0.1 feature_proportion 0.43276879308000205 n_clusters 16
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871729/4871729_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871744/4871744_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4588 n_samples 4072 confidence 0.025 feature_proportion 0.7642049139756709 n_clusters 45
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871744/4871744_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871755/4871755_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2662 n_samples 1499 confidence 0.25 feature_proportion 0.6820095955189317 n_clusters 37
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871755/4871755_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871767/4871767_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1600 n_samples 2890 confidence 0.005 feature_proportion 0.015446822471916675 n_clusters 5
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871767/4871767_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871782/4871782_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2445 n_samples 1897 confidence 0.05 feature_proportion 0.9000124450139702 n_clusters 29
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871782/4871782_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871792/4871792_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3215 n_samples 3717 confidence 0.005 feature_proportion 0.2958114085737616 n_clusters 12
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871792/4871792_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871807/4871807_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3869 n_samples 675 confidence 0.005 feature_proportion 0.15271632891707124 n_clusters 20
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871807/4871807_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871825/4871825_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 620 n_samples 4958 confidence 0.25 feature_proportion 0.5465140637308359 n_clusters 40
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871825/4871825_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871856/4871856_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 151 n_samples 1607 confidence 0.1 feature_proportion 0.10570957520790399 n_clusters 44
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871856/4871856_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871901/4871901_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4339 n_samples 2756 confidence 0.25 feature_proportion 0.7178140919841826 n_clusters 23
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871901/4871901_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871926/4871926_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3683 n_samples 349 confidence 0.1 feature_proportion 0.8534625431671738 n_clusters 9
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871926/4871926_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871942/4871942_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1976 n_samples 4034 confidence 0.01 feature_proportion 0.4675682738181204 n_clusters 27
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871942/4871942_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871993/4871993_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1444 n_samples 1182 confidence 0.25 feature_proportion 0.5721385220531374 n_clusters 1
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4871993/4871993_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872021/4872021_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2819 n_samples 4437 confidence 0.001 feature_proportion 0.2486363231651485 n_clusters 34
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872021/4872021_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872068/4872068_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4743 n_samples 2498 confidence 0.025 feature_proportion 0.3243291659802198 n_clusters 48
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872068/4872068_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872098/4872098_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 849 n_samples 3139 confidence 0.005 feature_proportion 0.9988258759062737 n_clusters 18
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872098/4872098_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872150/4872150_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 665 n_samples 2230 confidence 0.01 feature_proportion 0.2776584427077323 n_clusters 17
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872150/4872150_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872162/4872162_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4915 n_samples 3389 confidence 0.005 feature_proportion 0.9208460625447333 n_clusters 50
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872162/4872162_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872183/4872183_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2993 n_samples 971 confidence 0.001 feature_proportion 0.5254370987191797 n_clusters 33
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872183/4872183_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872191/4872191_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1263 n_samples 4666 confidence 0.025 feature_proportion 0.17062533757649362 n_clusters 3
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872191/4872191_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872206/4872206_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2116 n_samples 549 confidence 0.001 feature_proportion 0.8067235306147486 n_clusters 28
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872206/4872206_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872231/4872231_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3554 n_samples 3814 confidence 0.25 feature_proportion 0.3895196952931583 n_clusters 7
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872231/4872231_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872245/4872245_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4208 n_samples 1867 confidence 0.01 feature_proportion 0.05893938671052456 n_clusters 24
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872245/4872245_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872263/4872263_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 290 n_samples 2517 confidence 0.05 feature_proportion 0.63973481711559 n_clusters 42
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872263/4872263_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872283/4872283_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 445 n_samples 924 confidence 0.001 feature_proportion 0.19953910068050026 n_clusters 39
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872283/4872283_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872293/4872293_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4051 n_samples 4690 confidence 0.05 feature_proportion 0.6244027491230517 n_clusters 22
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872293/4872293_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872310/4872310_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3398 n_samples 2126 confidence 0.01 feature_proportion 0.9468054722007364 n_clusters 11
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872310/4872310_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872319/4872319_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2273 n_samples 3507 confidence 0.1 feature_proportion 0.37366986978799105 n_clusters 31
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872319/4872319_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872336/4872336_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1731 n_samples 1279 confidence 0.1 feature_proportion 0.7289011324457825 n_clusters 6
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872336/4872336_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872344/4872344_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2524 n_samples 3089 confidence 0.005 feature_proportion 0.09340379714407027 n_clusters 35
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872344/4872344_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872362/4872362_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4447 n_samples 58 confidence 0.25 feature_proportion 0.4796301095467061 n_clusters 46
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872362/4872362_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872391/4872391_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1135 n_samples 4331 confidence 0.025 feature_proportion 0.8421321403533221 n_clusters 14
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872391/4872391_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872463/4872463_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1112 n_samples 661 confidence 0.25 feature_proportion 0.4549071632232517 n_clusters 49
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872463/4872463_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872474/4872474_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4401 n_samples 4971 confidence 0.01 feature_proportion 0.8485811608955264 n_clusters 19
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872474/4872474_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872493/4872493_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2575 n_samples 1920 confidence 0.005 feature_proportion 0.7032032867558301 n_clusters 1
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872493/4872493_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872503/4872503_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1767 n_samples 3694 confidence 0.01 feature_proportion 0.09887849830277264 n_clusters 35
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872503/4872503_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872521/4872521_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2319 n_samples 1561 confidence 0.005 feature_proportion 0.9841984147559851 n_clusters 8
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872521/4872521_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872529/4872529_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3421 n_samples 2827 confidence 0.1 feature_proportion 0.31751569676399233 n_clusters 26
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872529/4872529_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872548/4872548_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4015 n_samples 244 confidence 0.05 feature_proportion 0.23595760488137602 n_clusters 43
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872548/4872548_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872557/4872557_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 394 n_samples 4124 confidence 0.1 feature_proportion 0.567273795703426 n_clusters 23
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872557/4872557_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872614/4872614_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 238 n_samples 2436 confidence 0.1 feature_proportion 0.0027699928507208824 n_clusters 21
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872614/4872614_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872640/4872640_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4172 n_samples 3202 confidence 0.01 feature_proportion 0.6771429805066437 n_clusters 41
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872640/4872640_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872657/4872657_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3576 n_samples 1235 confidence 0.1 feature_proportion 0.749579341487959 n_clusters 30
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872657/4872657_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872669/4872669_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2163 n_samples 4385 confidence 0.025 feature_proportion 0.4259534352011979 n_clusters 13
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872669/4872669_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872688/4872688_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1299 n_samples 363 confidence 0.05 feature_proportion 0.5319013400971889 n_clusters 37
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872688/4872688_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872696/4872696_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3045 n_samples 4021 confidence 0.001 feature_proportion 0.1458871704172343 n_clusters 4
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872696/4872696_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872714/4872714_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4869 n_samples 1584 confidence 0.001 feature_proportion 0.2831483795735985 n_clusters 15
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872714/4872714_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872724/4872724_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 643 n_samples 2779 confidence 0.025 feature_proportion 0.8951329811476171 n_clusters 44
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872724/4872724_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872746/4872746_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 813 n_samples 1814 confidence 0.005 feature_proportion 0.36100636490434407 n_clusters 47
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872746/4872746_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872758/4872758_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4692 n_samples 2570 confidence 0.05 feature_proportion 0.9419255324508995 n_clusters 14
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872758/4872758_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872816/4872816_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2865 n_samples 611 confidence 0.25 feature_proportion 0.6097905013728887 n_clusters 7
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872816/4872816_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872833/4872833_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1466 n_samples 3752 confidence 0.1 feature_proportion 0.19271041806414724 n_clusters 36
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872833/4872833_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872867/4872867_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2027 n_samples 994 confidence 0.01 feature_proportion 0.8275060919821262 n_clusters 10
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872867/4872867_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872878/4872878_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3719 n_samples 4643 confidence 0.05 feature_proportion 0.472814275784418 n_clusters 30
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872878/4872878_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872915/4872915_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4316 n_samples 2217 confidence 0.025 feature_proportion 0.08072744340635836 n_clusters 38
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872915/4872915_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872972/4872972_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 105 n_samples 3402 confidence 0.001 feature_proportion 0.7240349933169782 n_clusters 21
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4872972/4872972_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873007/4873007_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 573 n_samples 34 confidence 0.01 feature_proportion 0.15794709517620503 n_clusters 25
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873007/4873007_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873042/4873042_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3847 n_samples 4354 confidence 0.25 feature_proportion 0.5205728482529521 n_clusters 43
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873042/4873042_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873083/4873083_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3251 n_samples 1292 confidence 0.005 feature_proportion 0.9062181255109608 n_clusters 28
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873083/4873083_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873111/4873111_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2497 n_samples 3075 confidence 0.001 feature_proportion 0.27084449760802093 n_clusters 8
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873111/4873111_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873131/4873131_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1622 n_samples 2179 confidence 0.005 feature_proportion 0.6251244877707213 n_clusters 32
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873131/4873131_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873151/4873151_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2708 n_samples 3454 confidence 0.025 feature_proportion 0.052108785688877106 n_clusters 2
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873151/4873151_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873158/4873158_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4536 n_samples 862 confidence 0.1 feature_proportion 0.37685810881480575 n_clusters 16
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873158/4873158_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873177/4873177_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 970 n_samples 4752 confidence 0.05 feature_proportion 0.8018416724596172 n_clusters 50
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873177/4873177_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873198/4873198_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1060 n_samples 2030 confidence 0.01 feature_proportion 0.4846439909785986 n_clusters 27
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873198/4873198_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873209/4873209_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4681 n_samples 3609 confidence 0.25 feature_proportion 0.8159432284515351 n_clusters 10
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873209/4873209_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873242/4873242_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2755 n_samples 713 confidence 0.05 feature_proportion 0.73583372589387 n_clusters 24
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873242/4873242_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873294/4873294_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1654 n_samples 4906 confidence 0.005 feature_proportion 0.06913369764015079 n_clusters 44
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873294/4873294_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873314/4873314_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2352 n_samples 193 confidence 0.1 feature_proportion 0.9535174323096871 n_clusters 18
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873314/4873314_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873324/4873324_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3161 n_samples 4190 confidence 0.005 feature_proportion 0.3492094782348722 n_clusters 47
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873324/4873324_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873344/4873344_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3816 n_samples 1452 confidence 0.001 feature_proportion 0.2042713204342872 n_clusters 34
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873344/4873344_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873385/4873385_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 527 n_samples 2913 confidence 0.01 feature_proportion 0.5979627473391592 n_clusters 1
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873385/4873385_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873442/4873442_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 59 n_samples 1144 confidence 0.05 feature_proportion 0.03251443660072982 n_clusters 5
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873442/4873442_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873451/4873451_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4285 n_samples 4490 confidence 0.1 feature_proportion 0.6445126603394746 n_clusters 38
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873451/4873451_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873497/4873497_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3629 n_samples 2365 confidence 0.25 feature_proportion 0.7822173929028213 n_clusters 46
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873497/4873497_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873527/4873527_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1883 n_samples 3248 confidence 0.05 feature_proportion 0.39621625053323806 n_clusters 16
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873527/4873527_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873543/4873543_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1498 n_samples 1655 confidence 0.001 feature_proportion 0.5012127453740686 n_clusters 40
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873543/4873543_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873554/4873554_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2912 n_samples 2733 confidence 0.025 feature_proportion 0.17757333589345217 n_clusters 19
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873554/4873554_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873570/4873570_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4836 n_samples 453 confidence 0.1 feature_proportion 0.2514544791318476 n_clusters 12
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873570/4873570_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873588/4873588_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 903 n_samples 3916 confidence 0.005 feature_proportion 0.925814320506528 n_clusters 29
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873588/4873588_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873617/4873617_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 767 n_samples 525 confidence 0.025 feature_proportion 0.32935077494196596 n_clusters 32
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873617/4873617_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873665/4873665_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4979 n_samples 3862 confidence 0.05 feature_proportion 0.9726447026878595 n_clusters 11
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873665/4873665_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873681/4873681_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3057 n_samples 1748 confidence 0.1 feature_proportion 0.57907882444188 n_clusters 22
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873681/4873681_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873694/4873694_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1365 n_samples 2621 confidence 0.25 feature_proportion 0.22437398093380034 n_clusters 39
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873694/4873694_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873714/4873714_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2053 n_samples 2283 confidence 0.025 feature_proportion 0.860166749721393 n_clusters 13
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873714/4873714_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873744/4873744_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3452 n_samples 3351 confidence 0.001 feature_proportion 0.44310016960650683 n_clusters 46
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873744/4873744_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873783/4873783_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4105 n_samples 1080 confidence 0.05 feature_proportion 0.11043405256047845 n_clusters 35
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873783/4873783_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873806/4873806_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 226 n_samples 4533 confidence 0.01 feature_proportion 0.6913663663882762 n_clusters 5
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873806/4873806_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873814/4873814_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 382 n_samples 1398 confidence 0.05 feature_proportion 0.12628388921916484 n_clusters 4
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873814/4873814_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873831/4873831_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3948 n_samples 2985 confidence 0.001 feature_proportion 0.5512844062130898 n_clusters 33
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873831/4873831_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873868/4873868_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3296 n_samples 81 confidence 0.25 feature_proportion 0.8754988363031297 n_clusters 50
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873868/4873868_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873900/4873900_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2210 n_samples 4284 confidence 0.005 feature_proportion 0.30250044448301194 n_clusters 17
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873900/4873900_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873940/4873940_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1833 n_samples 816 confidence 0.001 feature_proportion 0.6577927577868103 n_clusters 41
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873940/4873940_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873950/4873950_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2587 n_samples 4823 confidence 0.25 feature_proportion 0.02240229550562799 n_clusters 24
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873950/4873950_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873964/4873964_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4510 n_samples 2074 confidence 0.005 feature_proportion 0.4065723339635879 n_clusters 7
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873964/4873964_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873994/4873994_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1237 n_samples 3545 confidence 0.001 feature_proportion 0.7691806578077376 n_clusters 27
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4873994/4873994_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874048/4874048_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1224 n_samples 326 confidence 0.001 feature_proportion 0.7445968841668218 n_clusters 33
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874048/4874048_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874066/4874066_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4512 n_samples 4062 confidence 0.1 feature_proportion 0.07791398028284312 n_clusters 3
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874066/4874066_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874075/4874075_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2610 n_samples 1625 confidence 0.025 feature_proportion 0.49535587352886795 n_clusters 17
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874075/4874075_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874088/4874088_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1802 n_samples 2742 confidence 0.001 feature_proportion 0.8266722799856215 n_clusters 50
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874088/4874088_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874107/4874107_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2207 n_samples 2473 confidence 0.25 feature_proportion 0.21500086644105612 n_clusters 24
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874107/4874107_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874116/4874116_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3307 n_samples 3160 confidence 0.001 feature_proportion 0.6086750797480345 n_clusters 42
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874116/4874116_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874131/4874131_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3981 n_samples 1193 confidence 0.05 feature_proportion 0.9622971907369793 n_clusters 28
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874131/4874131_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874147/4874147_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 360 n_samples 4421 confidence 0.01 feature_proportion 0.35797221639193594 n_clusters 7
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874147/4874147_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874170/4874170_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 204 n_samples 1520 confidence 0.005 feature_proportion 0.7909952663853764 n_clusters 11
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874170/4874170_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874224/4874224_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4136 n_samples 2864 confidence 0.001 feature_proportion 0.4049808661993593 n_clusters 31
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874224/4874224_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874233/4874233_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3464 n_samples 281 confidence 0.25 feature_proportion 0.04324209022708237 n_clusters 39
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874233/4874233_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874251/4874251_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2051 n_samples 4083 confidence 0.01 feature_proportion 0.6552268925644458 n_clusters 22
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874251/4874251_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874262/4874262_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1333 n_samples 703 confidence 0.1 feature_proportion 0.2621682689338922 n_clusters 46
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874262/4874262_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874279/4874279_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3078 n_samples 4935 confidence 0.01 feature_proportion 0.9365414573531597 n_clusters 13
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874279/4874279_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874341/4874341_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4982 n_samples 1884 confidence 0.005 feature_proportion 0.509977833205834 n_clusters 6
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874341/4874341_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874357/4874357_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 756 n_samples 3736 confidence 0.25 feature_proportion 0.18635169641301036 n_clusters 35
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874357/4874357_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874394/4874394_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 935 n_samples 2142 confidence 0.001 feature_proportion 0.5878434326723218 n_clusters 38
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874394/4874394_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874409/4874409_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4815 n_samples 3496 confidence 0.25 feature_proportion 0.23315186185203493 n_clusters 5
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874409/4874409_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874425/4874425_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2909 n_samples 904 confidence 0.05 feature_proportion 0.3400650443453342 n_clusters 16
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874425/4874425_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874444/4874444_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1509 n_samples 4716 confidence 0.25 feature_proportion 0.9833723191358149 n_clusters 45
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874444/4874444_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874452/4874452_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1906 n_samples 71 confidence 0.025 feature_proportion 0.12116122658550739 n_clusters 20
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874452/4874452_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874467/4874467_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3598 n_samples 4313 confidence 0.05 feature_proportion 0.7020801190119237 n_clusters 40
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874467/4874467_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874486/4874486_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4272 n_samples 1251 confidence 0.25 feature_proportion 0.8689451028052717 n_clusters 29
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874486/4874486_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874548/4874548_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 61 n_samples 3112 confidence 0.1 feature_proportion 0.4518652648739517 n_clusters 12
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874548/4874548_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874570/4874570_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 530 n_samples 953 confidence 0.25 feature_proportion 0.8842790668960661 n_clusters 9
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874570/4874570_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874592/4874592_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3804 n_samples 4680 confidence 0.005 feature_proportion 0.3112636548057199 n_clusters 27
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874592/4874592_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874613/4874613_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3129 n_samples 2254 confidence 0.1 feature_proportion 0.13701296306028962 n_clusters 44
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874613/4874613_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874635/4874635_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2374 n_samples 3361 confidence 0.025 feature_proportion 0.5619962664563208 n_clusters 23
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874635/4874635_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874648/4874648_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1666 n_samples 1856 confidence 0.005 feature_proportion 0.4172846886795014 n_clusters 48
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874648/4874648_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874665/4874665_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2753 n_samples 2533 confidence 0.25 feature_proportion 0.7799101815074683 n_clusters 18
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874665/4874665_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874681/4874681_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4658 n_samples 574 confidence 0.01 feature_proportion 0.666555443894118 n_clusters 1
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874681/4874681_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874695/4874695_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1091 n_samples 3794 confidence 0.025 feature_proportion 0.03118210598267615 n_clusters 34
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874695/4874695_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874714/4874714_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 947 n_samples 1692 confidence 0.1 feature_proportion 0.7139156637787819 n_clusters 42
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874714/4874714_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874732/4874732_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4567 n_samples 2691 confidence 0.05 feature_proportion 0.10960799969546497 n_clusters 25
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874732/4874732_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874743/4874743_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2721 n_samples 412 confidence 0.01 feature_proportion 0.46366982702352105 n_clusters 8
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874743/4874743_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874766/4874766_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1620 n_samples 3953 confidence 0.005 feature_proportion 0.8573609936796128 n_clusters 28
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874766/4874766_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874831/4874831_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2464 n_samples 1108 confidence 0.025 feature_proportion 0.24473793213814496 n_clusters 2
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874831/4874831_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874857/4874857_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3272 n_samples 4531 confidence 0.25 feature_proportion 0.5760369093623012 n_clusters 32
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874857/4874857_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874881/4874881_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3850 n_samples 2407 confidence 0.05 feature_proportion 0.9949273919332773 n_clusters 49
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874881/4874881_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874893/4874893_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 562 n_samples 3211 confidence 0.1 feature_proportion 0.32822765367105605 n_clusters 17
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874893/4874893_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874916/4874916_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 93 n_samples 234 confidence 0.05 feature_proportion 0.7603064337205142 n_clusters 14
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874916/4874916_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874935/4874935_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4318 n_samples 4153 confidence 0.005 feature_proportion 0.4366672696173191 n_clusters 47
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874935/4874935_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874952/4874952_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3742 n_samples 1415 confidence 0.1 feature_proportion 0.011548427727073433 n_clusters 36
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874952/4874952_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874963/4874963_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1996 n_samples 2954 confidence 0.25 feature_proportion 0.6859079939816147 n_clusters 6
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874963/4874963_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874985/4874985_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1463 n_samples 1988 confidence 0.025 feature_proportion 0.29191295062564315 n_clusters 31
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4874985/4874985_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875007/4875007_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2877 n_samples 3645 confidence 0.001 feature_proportion 0.9039108992442488 n_clusters 10
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875007/4875007_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875021/4875021_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4724 n_samples 749 confidence 0.01 feature_proportion 0.5426156466789543 n_clusters 21
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875021/4875021_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875043/4875043_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 791 n_samples 4864 confidence 0.025 feature_proportion 0.15661474968679248 n_clusters 39
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875043/4875043_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875051/4875051_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 646 n_samples 852 confidence 0.25 feature_proportion 0.6205043283533305 n_clusters 41
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875051/4875051_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875075/4875075_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4858 n_samples 4782 confidence 0.1 feature_proportion 0.20343751773238183 n_clusters 20
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875075/4875075_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875094/4875094_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3012 n_samples 2032 confidence 0.05 feature_proportion 0.3697714155577123 n_clusters 12
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875094/4875094_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875101/4875101_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1320 n_samples 3581 confidence 0.01 feature_proportion 0.9507039301488549 n_clusters 30
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875101/4875101_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875123/4875123_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2175 n_samples 1361 confidence 0.001 feature_proportion 0.08950539868138731 n_clusters 4
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875123/4875123_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875137/4875137_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3574 n_samples 3027 confidence 0.05 feature_proportion 0.7327995271906257 n_clusters 37
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875137/4875137_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875155/4875155_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4149 n_samples 122 confidence 0.1 feature_proportion 0.838233663816005 n_clusters 45
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875155/4875155_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875165/4875165_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 269 n_samples 4247 confidence 0.005 feature_proportion 0.48352858980186286 n_clusters 15
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875165/4875165_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875220/4875220_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 426 n_samples 2325 confidence 0.001 feature_proportion 0.9169475748538971 n_clusters 19
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875220/4875220_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875255/4875255_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3993 n_samples 3315 confidence 0.025 feature_proportion 0.2815569266807288 n_clusters 49
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875255/4875255_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875283/4875283_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3418 n_samples 1043 confidence 0.025 feature_proportion 0.1667269502673298 n_clusters 34
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875283/4875283_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875301/4875301_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2331 n_samples 4575 confidence 0.005 feature_proportion 0.5293354897461832 n_clusters 2
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875301/4875301_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875312/4875312_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1790 n_samples 484 confidence 0.25 feature_proportion 0.3856212447807193 n_clusters 26
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875312/4875312_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875328/4875328_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2544 n_samples 3899 confidence 0.005 feature_proportion 0.8106219774093479 n_clusters 9
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875328/4875328_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875338/4875338_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4388 n_samples 1785 confidence 0.001 feature_proportion 0.6358363926280289 n_clusters 23
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875338/4875338_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875362/4875362_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1114 n_samples 2580 confidence 0.01 feature_proportion 0.06283781491592526 n_clusters 43
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875362/4875362_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875372/4875372_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1170 n_samples 2352 confidence 0.05 feature_proportion 0.6732445039693267 n_clusters 22
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875372/4875372_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875397/4875397_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4420 n_samples 3266 confidence 0.025 feature_proportion 0.006668473105877638 n_clusters 39
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875397/4875397_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875410/4875410_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2517 n_samples 1172 confidence 0.25 feature_proportion 0.4220550367385149 n_clusters 31
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875410/4875410_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875432/4875432_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1748 n_samples 4467 confidence 0.05 feature_proportion 0.7534777362328022 n_clusters 11
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875432/4875432_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875442/4875442_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2300 n_samples 437 confidence 0.005 feature_proportion 0.14198871618695558 n_clusters 35
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875442/4875442_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875460/4875460_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3361 n_samples 3927 confidence 0.025 feature_proportion 0.5357997980453074 n_clusters 5
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875460/4875460_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875472/4875472_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4034 n_samples 1675 confidence 0.01 feature_proportion 0.8912345603778958 n_clusters 13
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875472/4875472_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875494/4875494_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 453 n_samples 2707 confidence 0.05 feature_proportion 0.28704679662548005 n_clusters 46
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875494/4875494_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875509/4875509_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 296 n_samples 724 confidence 0.005 feature_proportion 0.8446827364079654 n_clusters 50
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875509/4875509_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875527/4875527_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4190 n_samples 4890 confidence 0.05 feature_proportion 0.4588055914286524 n_clusters 18
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875527/4875527_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875537/4875537_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3518 n_samples 2005 confidence 0.01 feature_proportion 0.09498004779033363 n_clusters 3
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875537/4875537_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875586/4875586_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2144 n_samples 3629 confidence 0.25 feature_proportion 0.7071017335504294 n_clusters 33
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875586/4875586_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875639/4875639_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1279 n_samples 1470 confidence 0.25 feature_proportion 0.3136173094548285 n_clusters 7
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875639/4875639_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875653/4875653_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2985 n_samples 2900 confidence 0.1 feature_proportion 0.9880968057829886 n_clusters 27
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875653/4875653_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875703/4875703_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4889 n_samples 170 confidence 0.025 feature_proportion 0.5633753080125898 n_clusters 41
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875703/4875703_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875736/4875736_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 702 n_samples 4218 confidence 0.1 feature_proportion 0.2398560888543725 n_clusters 25
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875736/4875736_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875759/4875759_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 833 n_samples 106 confidence 0.005 feature_proportion 0.5166743642799556 n_clusters 24
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875759/4875759_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875771/4875771_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4751 n_samples 4263 confidence 0.001 feature_proportion 0.16184558286704123 n_clusters 44
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875771/4875771_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875835/4875835_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2845 n_samples 1387 confidence 0.25 feature_proportion 0.26694610658101736 n_clusters 26
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875835/4875835_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875852/4875852_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1407 n_samples 3001 confidence 0.05 feature_proportion 0.9101165128201246 n_clusters 10
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875852/4875852_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875869/4875869_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1969 n_samples 2097 confidence 0.1 feature_proportion 0.04821033889427781 n_clusters 33
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875869/4875869_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875879/4875879_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3700 n_samples 3517 confidence 0.25 feature_proportion 0.6290229382831604 n_clusters 1
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875879/4875879_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875898/4875898_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4375 n_samples 797 confidence 0.005 feature_proportion 0.7979432442542166 n_clusters 18
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875898/4875898_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875907/4875907_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 124 n_samples 4837 confidence 0.001 feature_proportion 0.38075653330236675 n_clusters 48
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4875907/4875907_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876042/4876042_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3907 n_samples 2644 confidence 0.1 feature_proportion 0.36490478567406537 n_clusters 16
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876042/4876042_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876061/4876061_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3231 n_samples 539 confidence 0.005 feature_proportion 0.1888119601160288 n_clusters 5
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876061/4876061_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876006/4876006_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 593 n_samples 1720 confidence 0.025 feature_proportion 0.938027115399018 n_clusters 46
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876006/4876006_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876085/4876085_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2437 n_samples 3843 confidence 0.25 feature_proportion 0.6136889556031674 n_clusters 38
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876085/4876085_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876137/4876137_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1564 n_samples 1059 confidence 0.025 feature_proportion 0.46891588103957477 n_clusters 12
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876137/4876137_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876168/4876168_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2690 n_samples 4559 confidence 0.01 feature_proportion 0.8314044904448092 n_clusters 29
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876168/4876168_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876184/4876184_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4595 n_samples 2299 confidence 0.1 feature_proportion 0.7201365130618215 n_clusters 40
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876184/4876184_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876211/4876211_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 988 n_samples 3340 confidence 0.01 feature_proportion 0.0846259199436754 n_clusters 20
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876211/4876211_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876281/4876281_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1040 n_samples 1219 confidence 0.001 feature_proportion 0.6406141838021576 n_clusters 7
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876281/4876281_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876296/4876296_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4621 n_samples 4396 confidence 0.01 feature_proportion 0.03641291685588658 n_clusters 36
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876296/4876296_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876317/4876317_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2775 n_samples 2457 confidence 0.025 feature_proportion 0.3923178520705551 n_clusters 47
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876317/4876317_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876328/4876328_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1713 n_samples 3176 confidence 0.1 feature_proportion 0.7861157876476645 n_clusters 14
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876328/4876328_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876348/4876348_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2411 n_samples 1571 confidence 0.1 feature_proportion 0.17367488166317344 n_clusters 38
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876348/4876348_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876360/4876360_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3179 n_samples 2798 confidence 0.01 feature_proportion 0.5051112033221871 n_clusters 21
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876360/4876360_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876381/4876381_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3757 n_samples 391 confidence 0.25 feature_proportion 0.9219158997368068 n_clusters 11
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876381/4876381_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876442/4876442_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 508 n_samples 3998 confidence 0.05 feature_proportion 0.2553528961837292 n_clusters 30
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876442/4876442_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876505/4876505_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 39 n_samples 1938 confidence 0.25 feature_proportion 0.8120448039639742 n_clusters 28
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876505/4876505_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876527/4876527_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4225 n_samples 3680 confidence 0.01 feature_proportion 0.4885424191839993 n_clusters 8
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876527/4876527_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876540/4876540_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3649 n_samples 638 confidence 0.001 feature_proportion 0.06523524712771177 n_clusters 25
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876540/4876540_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876563/4876563_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1942 n_samples 4999 confidence 0.025 feature_proportion 0.7397321726884692 n_clusters 42
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876563/4876563_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876576/4876576_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1556 n_samples 255 confidence 0.025 feature_proportion 0.3453110909257084 n_clusters 16
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876576/4876576_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876600/4876600_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2930 n_samples 4108 confidence 0.25 feature_proportion 0.9574158233366906 n_clusters 49
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876600/4876600_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876610/4876610_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4778 n_samples 1536 confidence 0.1 feature_proportion 0.5940642596483231 n_clusters 32
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876610/4876610_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876637/4876637_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 884 n_samples 2848 confidence 0.005 feature_proportion 0.20816980440728367 n_clusters 2
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876637/4876637_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876659/4876659_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 709 n_samples 1315 confidence 0.001 feature_proportion 0.5473859222400933 n_clusters 2
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876659/4876659_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876729/4876729_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4960 n_samples 3048 confidence 0.25 feature_proportion 0.13018237691000104 n_clusters 35
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876729/4876729_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876744/4876744_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3115 n_samples 16 confidence 0.01 feature_proportion 0.29860205345600843 n_clusters 49
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876744/4876744_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876770/4876770_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1384 n_samples 4368 confidence 0.001 feature_proportion 0.8793972236122936 n_clusters 19
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876770/4876770_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876805/4876805_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2073 n_samples 887 confidence 0.05 feature_proportion 0.018503848711028698 n_clusters 43
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876805/4876805_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876816/4876816_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3511 n_samples 4732 confidence 0.025 feature_proportion 0.6616912082992494 n_clusters 23
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876816/4876816_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876834/4876834_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4085 n_samples 2167 confidence 0.25 feature_proportion 0.7652822296023368 n_clusters 9
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876834/4876834_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876846/4876846_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 167 n_samples 3470 confidence 0.005 feature_proportion 0.4104707584511489 n_clusters 26
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876846/4876846_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876866/4876866_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 324 n_samples 591 confidence 0.1 feature_proportion 0.968746285635978 n_clusters 30
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876866/4876866_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876878/4876878_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3930 n_samples 3778 confidence 0.001 feature_proportion 0.3332491957116872 n_clusters 13
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876878/4876878_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876916/4876916_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3354 n_samples 1830 confidence 0.025 feature_proportion 0.2204755229856819 n_clusters 21
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876916/4876916_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876957/4876957_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2229 n_samples 2559 confidence 0.005 feature_proportion 0.5829772786721588 n_clusters 40
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876957/4876957_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876976/4876976_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1853 n_samples 2189 confidence 0.01 feature_proportion 0.43920177486166356 n_clusters 15
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876976/4876976_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876987/4876987_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2647 n_samples 3426 confidence 0.05 feature_proportion 0.864065148184076 n_clusters 44
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4876987/4876987_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877009/4877009_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4491 n_samples 1008 confidence 0.025 feature_proportion 0.6874678861331195 n_clusters 37
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877009/4877009_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877017/4877017_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1177 n_samples 4625 confidence 0.001 feature_proportion 0.11433252909779548 n_clusters 4
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877017/4877017_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877039/4877039_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1173 n_samples 2203 confidence 0.1 feature_proportion 0.7839235216323286 n_clusters 32
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877039/4877039_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877051/4877051_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4487 n_samples 3430 confidence 0.01 feature_proportion 0.39791316459700465 n_clusters 11
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877051/4877051_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877123/4877123_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2641 n_samples 1003 confidence 0.05 feature_proportion 0.034708663776516914 n_clusters 22
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877123/4877123_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877136/4877136_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1848 n_samples 4611 confidence 0.001 feature_proportion 0.6466970370989293 n_clusters 39
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877136/4877136_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877159/4877159_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2234 n_samples 606 confidence 0.25 feature_proportion 0.25266785282082854 n_clusters 13
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877159/4877159_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877176/4877176_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3360 n_samples 3783 confidence 0.05 feature_proportion 0.9270446085073054 n_clusters 46
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877176/4877176_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877199/4877199_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3934 n_samples 1824 confidence 0.025 feature_proportion 0.5038883063867688 n_clusters 36
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877199/4877199_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877215/4877215_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 328 n_samples 2543 confidence 0.1 feature_proportion 0.18026621646247803 n_clusters 6
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877215/4877215_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877258/4877258_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 172 n_samples 892 confidence 0.25 feature_proportion 0.7370492540709674 n_clusters 4
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877258/4877258_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877273/4877273_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4091 n_samples 4746 confidence 0.001 feature_proportion 0.07036278291977942 n_clusters 33
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877273/4877273_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877299/4877299_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3515 n_samples 2154 confidence 0.25 feature_proportion 0.48732117482833565 n_clusters 50
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877299/4877299_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877313/4877313_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2077 n_samples 3466 confidence 0.05 feature_proportion 0.8186335344165564 n_clusters 17
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877313/4877313_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877334/4877334_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1380 n_samples 1321 confidence 0.05 feature_proportion 0.2059839460887015 n_clusters 41
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877334/4877334_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877350/4877350_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3111 n_samples 3063 confidence 0.01 feature_proportion 0.5996541162449867 n_clusters 24
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877350/4877350_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877376/4877376_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4955 n_samples 1 confidence 0.025 feature_proportion 0.9557165540214628 n_clusters 7
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877376/4877376_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877396/4877396_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 704 n_samples 4363 confidence 0.005 feature_proportion 0.3513880086913705 n_clusters 27
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877396/4877396_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877421/4877421_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 888 n_samples 270 confidence 0.01 feature_proportion 0.8777062841169536 n_clusters 27
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877421/4877421_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877436/4877436_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4782 n_samples 4114 confidence 0.005 feature_proportion 0.3046868288759142 n_clusters 10
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877436/4877436_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877459/4877459_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2936 n_samples 1530 confidence 0.01 feature_proportion 0.12800341704301535 n_clusters 24
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877459/4877459_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877492/4877492_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1562 n_samples 2833 confidence 0.25 feature_proportion 0.5529831494539976 n_clusters 44
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877492/4877492_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877549/4877549_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1937 n_samples 1953 confidence 0.025 feature_proportion 0.4092421397604048 n_clusters 18
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877549/4877549_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877564/4877564_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3643 n_samples 3685 confidence 0.001 feature_proportion 0.7718640653211624 n_clusters 47
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877564/4877564_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877587/4877587_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4221 n_samples 634 confidence 0.1 feature_proportion 0.6590004357453436 n_clusters 34
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877587/4877587_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877602/4877602_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 35 n_samples 4986 confidence 0.005 feature_proportion 0.02362305096536875 n_clusters 1
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877602/4877602_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877630/4877630_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 503 n_samples 1576 confidence 0.25 feature_proportion 0.5817465352360159 n_clusters 5
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877630/4877630_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877645/4877645_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3752 n_samples 2813 confidence 0.001 feature_proportion 0.22705853168293832 n_clusters 38
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877645/4877645_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877669/4877669_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3175 n_samples 375 confidence 0.001 feature_proportion 0.3305567705780268 n_clusters 45
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877669/4877669_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877679/4877679_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2406 n_samples 3992 confidence 0.025 feature_proportion 0.9738680922370404 n_clusters 15
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877679/4877679_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877722/4877722_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1717 n_samples 1223 confidence 0.01 feature_proportion 0.11263518190570175 n_clusters 40
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877722/4877722_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877734/4877734_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2779 n_samples 4410 confidence 0.005 feature_proportion 0.6935581174828113 n_clusters 19
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877734/4877734_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877759/4877759_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4626 n_samples 2443 confidence 0.005 feature_proportion 0.8618812045529485 n_clusters 12
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877759/4877759_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877773/4877773_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1045 n_samples 3172 confidence 0.05 feature_proportion 0.4448049376066774 n_clusters 29
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877773/4877773_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877795/4877795_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 994 n_samples 1075 confidence 0.025 feature_proportion 0.7522679298110306 n_clusters 47
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877795/4877795_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877808/4877808_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4600 n_samples 4565 confidence 0.1 feature_proportion 0.4286323366928846 n_clusters 14
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877808/4877808_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877830/4877830_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2694 n_samples 2294 confidence 0.01 feature_proportion 0.0039969887044280766 n_clusters 6
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877830/4877830_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877842/4877842_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1568 n_samples 3325 confidence 0.1 feature_proportion 0.6783605981096625 n_clusters 36
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877842/4877842_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877868/4877868_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2433 n_samples 1734 confidence 0.005 feature_proportion 0.28532850870117543 n_clusters 10
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877868/4877868_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877885/4877885_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3227 n_samples 2649 confidence 0.25 feature_proportion 0.8973305041883141 n_clusters 30
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877885/4877885_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877926/4877926_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3901 n_samples 535 confidence 0.1 feature_proportion 0.5335949173998088 n_clusters 38
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877926/4877926_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877965/4877965_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 588 n_samples 3830 confidence 0.001 feature_proportion 0.14759758767485617 n_clusters 22
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877965/4877965_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877988/4877988_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 120 n_samples 2102 confidence 0.005 feature_proportion 0.7053860499728472 n_clusters 25
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877988/4877988_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877998/4877998_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4371 n_samples 3532 confidence 0.25 feature_proportion 0.10107433902099729 n_clusters 43
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4877998/4877998_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878015/4878015_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3695 n_samples 782 confidence 0.01 feature_proportion 0.4566018837615848 n_clusters 28
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878015/4878015_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878028/4878028_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1964 n_samples 4831 confidence 0.05 feature_proportion 0.8502894831504673 n_clusters 8
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878028/4878028_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878049/4878049_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1412 n_samples 110 confidence 0.1 feature_proportion 0.23865221796371042 n_clusters 32
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878049/4878049_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878063/4878063_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2851 n_samples 4277 confidence 0.001 feature_proportion 0.5699476242028176 n_clusters 2
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878063/4878063_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878085/4878085_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4755 n_samples 1372 confidence 0.01 feature_proportion 0.9854307773113251 n_clusters 16
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878085/4878085_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878103/4878103_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 837 n_samples 2997 confidence 0.025 feature_proportion 0.3187269958984107 n_clusters 50
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878103/4878103_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878148/4878148_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 697 n_samples 1484 confidence 0.1 feature_proportion 0.9074431137312203 n_clusters 49
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878148/4878148_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878160/4878160_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4884 n_samples 2903 confidence 0.05 feature_proportion 0.2720488945730031 n_clusters 19
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878160/4878160_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878184/4878184_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2981 n_samples 165 confidence 0.001 feature_proportion 0.16063385432213545 n_clusters 1
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878184/4878184_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878199/4878199_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1275 n_samples 4204 confidence 0.01 feature_proportion 0.5232383506502957 n_clusters 35
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878199/4878199_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878244/4878244_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2148 n_samples 739 confidence 0.001 feature_proportion 0.3785611591730267 n_clusters 8
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878244/4878244_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878291/4878291_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3522 n_samples 4895 confidence 0.01 feature_proportion 0.8035578449331224 n_clusters 26
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878291/4878291_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878313/4878313_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4196 n_samples 1999 confidence 0.005 feature_proportion 0.6273141494393348 n_clusters 43
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878313/4878313_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878343/4878343_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 302 n_samples 3614 confidence 0.1 feature_proportion 0.05431200446002185 n_clusters 23
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878343/4878343_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878357/4878357_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 457 n_samples 442 confidence 0.05 feature_proportion 0.611490977127105 n_clusters 21
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878357/4878357_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878425/4878425_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4039 n_samples 3941 confidence 0.25 feature_proportion 0.1944282133746892 n_clusters 41
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878425/4878425_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878450/4878450_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3367 n_samples 1662 confidence 0.005 feature_proportion 0.3631948238518089 n_clusters 29
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878450/4878450_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878476/4878476_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2305 n_samples 2703 confidence 0.05 feature_proportion 0.9441309057101608 n_clusters 13
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878476/4878476_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878489/4878489_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1743 n_samples 2357 confidence 0.25 feature_proportion 0.08194658532366157 n_clusters 37
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878489/4878489_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878517/4878517_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2512 n_samples 3282 confidence 0.025 feature_proportion 0.7252442848179489 n_clusters 4
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878517/4878517_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878532/4878532_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4415 n_samples 1157 confidence 0.001 feature_proportion 0.8301873059701175 n_clusters 15
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878532/4878532_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878555/4878555_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1166 n_samples 4461 confidence 0.01 feature_proportion 0.47548627510666847 n_clusters 45
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878555/4878555_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878571/4878571_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1119 n_samples 470 confidence 0.01 feature_proportion 0.8512557571288198 n_clusters 17
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878571/4878571_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878596/4878596_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4394 n_samples 3894 confidence 0.025 feature_proportion 0.4653821794167161 n_clusters 50
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878596/4878596_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878610/4878610_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2549 n_samples 1789 confidence 0.25 feature_proportion 0.10398935586586594 n_clusters 33
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878610/4878610_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878734/4878734_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1794 n_samples 2593 confidence 0.05 feature_proportion 0.7161150884944946 n_clusters 3
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878734/4878734_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878809/4878809_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2327 n_samples 2309 confidence 0.001 feature_proportion 0.32165962043218316 n_clusters 28
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878809/4878809_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878827/4878827_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3414 n_samples 3309 confidence 0.005 feature_proportion 0.9961431599110365 n_clusters 7
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878827/4878827_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878865/4878865_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3988 n_samples 1049 confidence 0.01 feature_proportion 0.5709305541031062 n_clusters 24
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878865/4878865_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878912/4878912_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 421 n_samples 4590 confidence 0.25 feature_proportion 0.24741490592993795 n_clusters 42
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878912/4878912_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878944/4878944_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 265 n_samples 1357 confidence 0.001 feature_proportion 0.6793416393473745 n_clusters 39
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878944/4878944_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878960/4878960_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4145 n_samples 3013 confidence 0.005 feature_proportion 0.012761565333232285 n_clusters 22
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878960/4878960_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878982/4878982_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3569 n_samples 136 confidence 0.025 feature_proportion 0.43156307256408033 n_clusters 11
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878982/4878982_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878997/4878997_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2170 n_samples 4251 confidence 0.25 feature_proportion 0.7629822010733187 n_clusters 31
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4878997/4878997_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879041/4879041_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1326 n_samples 847 confidence 0.25 feature_proportion 0.15051452292501927 n_clusters 6
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879041/4879041_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879092/4879092_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3018 n_samples 4767 confidence 0.05 feature_proportion 0.5443220375161618 n_clusters 35
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879092/4879092_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879115/4879115_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4862 n_samples 2048 confidence 0.1 feature_proportion 0.898298696571961 n_clusters 46
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879115/4879115_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879128/4879128_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 650 n_samples 3587 confidence 0.005 feature_proportion 0.29410688595101236 n_clusters 14
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879128/4879128_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879156/4879156_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 786 n_samples 1973 confidence 0.05 feature_proportion 0.9450986222103238 n_clusters 16
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879156/4879156_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879173/4879173_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4719 n_samples 3640 confidence 0.001 feature_proportion 0.37197272521816194 n_clusters 45
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879173/4879173_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879197/4879197_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2872 n_samples 755 confidence 0.1 feature_proportion 0.19734562450833618 n_clusters 37
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879197/4879197_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879213/4879213_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1459 n_samples 4879 confidence 0.025 feature_proportion 0.622218573126942 n_clusters 5
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879213/4879213_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879241/4879241_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2000 n_samples 220 confidence 0.025 feature_proportion 0.47841653509438037 n_clusters 29
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879241/4879241_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879259/4879259_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3746 n_samples 4149 confidence 0.25 feature_proportion 0.8409011013489217 n_clusters 12
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879259/4879259_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879286/4879286_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4324 n_samples 1419 confidence 0.01 feature_proportion 0.7262258019391448 n_clusters 20
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879286/4879286_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879299/4879299_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 98 n_samples 2969 confidence 0.005 feature_proportion 0.09071163783594965 n_clusters 40
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879299/4879299_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879370/4879370_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 566 n_samples 1102 confidence 0.1 feature_proportion 0.5242217564340681 n_clusters 44
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879370/4879370_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879415/4879415_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3854 n_samples 4516 confidence 0.05 feature_proportion 0.16939701817184688 n_clusters 23
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879415/4879415_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879445/4879445_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3278 n_samples 2422 confidence 0.05 feature_proportion 0.27498104322329164 n_clusters 9
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879445/4879445_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879467/4879467_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2470 n_samples 3217 confidence 0.01 feature_proportion 0.9181550204474479 n_clusters 27
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879467/4879467_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879492/4879492_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1615 n_samples 1687 confidence 0.025 feature_proportion 0.0572274971883744 n_clusters 1
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879492/4879492_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879513/4879513_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2716 n_samples 2677 confidence 0.001 feature_proportion 0.6380436638444662 n_clusters 34
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879513/4879513_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879543/4879543_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4563 n_samples 426 confidence 0.05 feature_proportion 0.8045236430279911 n_clusters 48
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879543/4879543_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879559/4879559_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 943 n_samples 3957 confidence 0.1 feature_proportion 0.3873409789446741 n_clusters 18
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879559/4879559_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879658/4879658_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1087 n_samples 1841 confidence 0.001 feature_proportion 0.8215490271449088 n_clusters 8
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879658/4879658_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879700/4879700_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4654 n_samples 2528 confidence 0.25 feature_proportion 0.49805068923346696 n_clusters 28
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879700/4879700_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879725/4879725_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2748 n_samples 580 confidence 0.1 feature_proportion 0.07132858101464808 n_clusters 42
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879725/4879725_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879742/4879742_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1661 n_samples 3809 confidence 0.01 feature_proportion 0.7458290738426149 n_clusters 25
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879742/4879742_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879773/4879773_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2379 n_samples 939 confidence 0.05 feature_proportion 0.352371414475143 n_clusters 49
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879773/4879773_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879784/4879784_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3134 n_samples 4676 confidence 0.01 feature_proportion 0.9644797178711743 n_clusters 17
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879784/4879784_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879813/4879813_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3808 n_samples 2258 confidence 0.25 feature_proportion 0.6025862648952752 n_clusters 3
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879813/4879813_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879843/4879843_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 534 n_samples 3375 confidence 0.025 feature_proportion 0.216695852804929 n_clusters 32
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879843/4879843_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879909/4879909_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 66 n_samples 65 confidence 0.25 feature_proportion 0.6496272970866412 n_clusters 36
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879909/4879909_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879924/4879924_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4278 n_samples 4298 confidence 0.01 feature_proportion 0.04542245915532112 n_clusters 6
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879924/4879924_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879952/4879952_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3602 n_samples 1266 confidence 0.001 feature_proportion 0.3988946817182005 n_clusters 14
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879952/4879952_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879968/4879968_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1910 n_samples 3118 confidence 0.005 feature_proportion 0.7926885741446167 n_clusters 47
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4879968/4879968_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880017/4880017_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1505 n_samples 2138 confidence 0.025 feature_proportion 0.18123393296264112 n_clusters 21
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880017/4880017_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880031/4880031_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2904 n_samples 3481 confidence 0.05 feature_proportion 0.5126662077531219 n_clusters 38
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880031/4880031_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880055/4880055_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4809 n_samples 917 confidence 0.005 feature_proportion 0.9299620196409524 n_clusters 31
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880055/4880055_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880104/4880104_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 930 n_samples 4720 confidence 0.1 feature_proportion 0.26339544882066546 n_clusters 10
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880104/4880104_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880145/4880145_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 760 n_samples 689 confidence 0.005 feature_proportion 0.9767850274872035 n_clusters 12
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880145/4880145_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880161/4880161_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4986 n_samples 4930 confidence 0.025 feature_proportion 0.3412838906943798 n_clusters 30
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880161/4880161_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880181/4880181_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3083 n_samples 1888 confidence 0.01 feature_proportion 0.2280267240665853 n_clusters 41
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880181/4880181_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880198/4880198_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1338 n_samples 3750 confidence 0.001 feature_proportion 0.5905249124858528 n_clusters 20
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880198/4880198_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880221/4880221_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2046 n_samples 1504 confidence 0.01 feature_proportion 0.4457859788443893 n_clusters 45
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880221/4880221_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880232/4880232_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3459 n_samples 2858 confidence 0.001 feature_proportion 0.8706457811817527 n_clusters 15
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880232/4880232_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880261/4880261_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4132 n_samples 286 confidence 0.005 feature_proportion 0.696488853354007 n_clusters 4
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880261/4880261_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880273/4880273_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 199 n_samples 4098 confidence 0.05 feature_proportion 0.12334945316798986 n_clusters 37
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880273/4880273_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880297/4880297_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 355 n_samples 2469 confidence 0.01 feature_proportion 0.55591577398777 n_clusters 34
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880297/4880297_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880312/4880312_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3975 n_samples 3146 confidence 0.1 feature_proportion 0.1387157996427268 n_clusters 2
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880312/4880312_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880338/4880338_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3303 n_samples 1207 confidence 0.025 feature_proportion 0.3056697587762028 n_clusters 19
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880338/4880338_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880353/4880353_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2203 n_samples 4426 confidence 0.1 feature_proportion 0.8864689720831811 n_clusters 48
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880353/4880353_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880377/4880377_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1806 n_samples 321 confidence 0.005 feature_proportion 0.024589324943721295 n_clusters 23
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880377/4880377_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880391/4880391_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2614 n_samples 4047 confidence 0.05 feature_proportion 0.6677807314004749 n_clusters 43
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880391/4880391_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880415/4880415_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4518 n_samples 1641 confidence 0.05 feature_proportion 0.774779082166031 n_clusters 26
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880415/4880415_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880427/4880427_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1229 n_samples 2748 confidence 0.25 feature_proportion 0.41997117828205227 n_clusters 9
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880427/4880427_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880471/4880471_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1232 n_samples 810 confidence 0.05 feature_proportion 0.06646435471437871 n_clusters 2
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880471/4880471_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880487/4880487_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4505 n_samples 4808 confidence 0.25 feature_proportion 0.7409476785585284 n_clusters 35
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880487/4880487_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880518/4880518_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2583 n_samples 2089 confidence 0.01 feature_proportion 0.814735087621957 n_clusters 49
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880518/4880518_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880539/4880539_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1829 n_samples 3550 confidence 0.25 feature_proportion 0.4912196253407747 n_clusters 18
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880539/4880539_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880570/4880570_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2214 n_samples 1393 confidence 0.01 feature_proportion 0.5957557252179831 n_clusters 43
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880570/4880570_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880588/4880588_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3300 n_samples 2971 confidence 0.005 feature_proportion 0.2098823333978653 n_clusters 22
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880588/4880588_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880616/4880616_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3954 n_samples 95 confidence 0.25 feature_proportion 0.347489524718374 n_clusters 9
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880616/4880616_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880631/4880631_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 387 n_samples 4288 confidence 0.1 feature_proportion 0.9596150417122989 n_clusters 26
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880631/4880631_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880660/4880660_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 230 n_samples 2268 confidence 0.025 feature_proportion 0.3940146843418479 n_clusters 30
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880660/4880660_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880675/4880675_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4109 n_samples 3346 confidence 0.05 feature_proportion 0.7878219981696457 n_clusters 13
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880675/4880675_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880702/4880702_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3457 n_samples 1085 confidence 0.1 feature_proportion 0.642798642354086 n_clusters 20
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880702/4880702_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880720/4880720_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2058 n_samples 4549 confidence 0.025 feature_proportion 0.03860706223919988 n_clusters 40
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880720/4880720_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880744/4880744_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1360 n_samples 512 confidence 0.025 feature_proportion 0.9231461505591869 n_clusters 15
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880744/4880744_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880761/4880761_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3051 n_samples 3858 confidence 0.25 feature_proportion 0.2565663070511073 n_clusters 44
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880761/4880761_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880787/4880787_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4975 n_samples 1753 confidence 0.01 feature_proportion 0.1763677994105965 n_clusters 37
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880787/4880787_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880803/4880803_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 763 n_samples 2635 confidence 0.001 feature_proportion 0.5077867271564901 n_clusters 4
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880803/4880803_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880831/4880831_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 908 n_samples 1651 confidence 0.001 feature_proportion 0.22316011091321708 n_clusters 7
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880831/4880831_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880849/4880849_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4842 n_samples 2719 confidence 0.1 feature_proportion 0.5856449522878975 n_clusters 36
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880849/4880849_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880886/4880886_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2916 n_samples 467 confidence 0.005 feature_proportion 0.9699696380067616 n_clusters 47
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880886/4880886_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880940/4880940_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1502 n_samples 3921 confidence 0.05 feature_proportion 0.33445522852614523 n_clusters 14
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4880940/4880940_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881017/4881017_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1879 n_samples 1139 confidence 0.25 feature_proportion 0.6896597190201282 n_clusters 38
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881017/4881017_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881032/4881032_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3625 n_samples 4475 confidence 0.025 feature_proportion 0.116533576650545 n_clusters 21
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881032/4881032_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881058/4881058_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4280 n_samples 2381 confidence 0.001 feature_proportion 0.4409064610693604 n_clusters 11
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881058/4881058_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881072/4881072_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 53 n_samples 3254 confidence 0.005 feature_proportion 0.8657796848081052 n_clusters 31
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881072/4881072_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881101/4881101_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 523 n_samples 178 confidence 0.005 feature_proportion 0.300788341185078 n_clusters 29
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881101/4881101_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881119/4881119_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3811 n_samples 4186 confidence 0.01 feature_proportion 0.88160476808995 n_clusters 8
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881119/4881119_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881147/4881147_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3155 n_samples 1456 confidence 0.05 feature_proportion 0.5490847621448338 n_clusters 25
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881147/4881147_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881163/4881163_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2347 n_samples 2927 confidence 0.005 feature_proportion 0.1319018080700189 n_clusters 42
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881163/4881163_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881239/4881239_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1659 n_samples 2015 confidence 0.1 feature_proportion 0.7679656148087234 n_clusters 16
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881239/4881239_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881257/4881257_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2760 n_samples 3603 confidence 0.05 feature_proportion 0.41314058655500413 n_clusters 49
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881257/4881257_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881284/4881284_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4685 n_samples 718 confidence 0.025 feature_proportion 0.01972462647780776 n_clusters 32
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881284/4881284_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881302/4881302_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1064 n_samples 4921 confidence 0.01 feature_proportion 0.6628988639507443 n_clusters 2
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881302/4881302_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881329/4881329_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 974 n_samples 2175 confidence 0.05 feature_proportion 0.09717591081559658 n_clusters 24
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881329/4881329_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881343/4881343_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4540 n_samples 3440 confidence 0.01 feature_proportion 0.7092844744604081 n_clusters 44
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881343/4881343_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881372/4881372_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2714 n_samples 876 confidence 0.005 feature_proportion 0.846391036355868 n_clusters 26
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881372/4881372_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881401/4881401_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1628 n_samples 4757 confidence 0.01 feature_proportion 0.46050033427402376 n_clusters 10
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881401/4881401_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881488/4881488_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2491 n_samples 29 confidence 0.005 feature_proportion 0.5660492331758141 n_clusters 33
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881488/4881488_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881523/4881523_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3245 n_samples 4339 confidence 0.025 feature_proportion 0.24255060527287423 n_clusters 1
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881523/4881523_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881549/4881549_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3843 n_samples 1308 confidence 0.1 feature_proportion 0.3148285119254142 n_clusters 18
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881549/4881549_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881565/4881565_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 569 n_samples 3081 confidence 0.001 feature_proportion 0.9893292650021612 n_clusters 48
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881565/4881565_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881630/4881630_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 100 n_samples 980 confidence 0.005 feature_proportion 0.4247338564377278 n_clusters 46
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881630/4881630_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881679/4881679_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4311 n_samples 4639 confidence 0.25 feature_proportion 0.7561664063483476 n_clusters 16
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881679/4881679_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881706/4881706_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3715 n_samples 2221 confidence 0.025 feature_proportion 0.6744622033648193 n_clusters 4
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881706/4881706_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881724/4881724_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2023 n_samples 3416 confidence 0.1 feature_proportion 0.007895387167111039 n_clusters 38
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881724/4881724_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881749/4881749_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1471 n_samples 1799 confidence 0.1 feature_proportion 0.8934320462401957 n_clusters 11
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881749/4881749_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881767/4881767_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2869 n_samples 2564 confidence 0.01 feature_proportion 0.28922696293145417 n_clusters 29
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881767/4881767_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881790/4881790_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4697 n_samples 616 confidence 0.05 feature_proportion 0.14369917062297463 n_clusters 40
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881790/4881790_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881803/4881803_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 818 n_samples 3767 confidence 0.01 feature_proportion 0.53749333816953 n_clusters 20
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881803/4881803_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881829/4881829_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 639 n_samples 357 confidence 0.005 feature_proportion 0.19052979260496794 n_clusters 22
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881829/4881829_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881844/4881844_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4865 n_samples 4006 confidence 0.001 feature_proportion 0.6153893941789865 n_clusters 40
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881844/4881844_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881873/4881873_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3039 n_samples 1599 confidence 0.001 feature_proportion 0.940232451479882 n_clusters 31
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881873/4881873_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881889/4881889_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1293 n_samples 2785 confidence 0.025 feature_proportion 0.36709328179992734 n_clusters 11
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881889/4881889_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881916/4881916_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2168 n_samples 2432 confidence 0.05 feature_proportion 0.721345886355266 n_clusters 35
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881916/4881916_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881928/4881928_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3582 n_samples 3187 confidence 0.25 feature_proportion 0.08584498006850481 n_clusters 5
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881928/4881928_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881964/4881964_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4176 n_samples 1248 confidence 0.005 feature_proportion 0.47158779856935146 n_clusters 13
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881964/4881964_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881981/4881981_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 242 n_samples 4389 confidence 0.025 feature_proportion 0.8340857862252742 n_clusters 47
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4881981/4881981_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882012/4882012_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 399 n_samples 1546 confidence 0.025 feature_proportion 0.26815040688216685 n_clusters 50
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882012/4882012_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882032/4882032_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4020 n_samples 2822 confidence 0.005 feature_proportion 0.9113415977042169 n_clusters 18
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882032/4882032_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882060/4882060_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3425 n_samples 249 confidence 0.1 feature_proportion 0.5193399633411319 n_clusters 3
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882060/4882060_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882071/4882071_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2324 n_samples 4140 confidence 0.25 feature_proportion 0.164532245349139 n_clusters 33
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882071/4882071_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882129/4882129_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1763 n_samples 647 confidence 0.01 feature_proportion 0.7996593944206833 n_clusters 7
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882129/4882129_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882220/4882220_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2571 n_samples 4967 confidence 0.1 feature_proportion 0.38245960596762596 n_clusters 27
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882220/4882220_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882314/4882314_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4396 n_samples 1925 confidence 0.001 feature_proportion 0.05041357997246087 n_clusters 41
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882314/4882314_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882336/4882336_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1107 n_samples 3708 confidence 0.1 feature_proportion 0.6312125776447356 n_clusters 25
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882336/4882336_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882351/4882351_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1139 n_samples 1284 confidence 0.25 feature_proportion 0.008863088795915245 n_clusters 41
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882351/4882351_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882379/4882379_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4451 n_samples 3104 confidence 0.05 feature_proportion 0.6832401196025312 n_clusters 20
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882379/4882379_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882391/4882391_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2529 n_samples 42 confidence 0.001 feature_proportion 0.7590838026106358 n_clusters 12
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882391/4882391_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882418/4882418_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1736 n_samples 4326 confidence 0.005 feature_proportion 0.4354614673089236 n_clusters 30
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882418/4882418_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882433/4882433_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2268 n_samples 928 confidence 0.001 feature_proportion 0.540423583285883 n_clusters 4
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882433/4882433_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882498/4882498_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3393 n_samples 4704 confidence 0.01 feature_proportion 0.1544129808731377 n_clusters 37
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882498/4882498_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882528/4882528_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4047 n_samples 2112 confidence 0.05 feature_proportion 0.2902084651812911 n_clusters 45
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882528/4882528_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882556/4882556_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 441 n_samples 3502 confidence 0.025 feature_proportion 0.9021971136238426 n_clusters 15
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882556/4882556_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882570/4882570_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 284 n_samples 564 confidence 0.001 feature_proportion 0.4614837549291551 n_clusters 19
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882570/4882570_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882593/4882593_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4202 n_samples 3820 confidence 0.01 feature_proportion 0.8551541853342205 n_clusters 48
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882593/4882593_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882612/4882612_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3550 n_samples 1861 confidence 0.005 feature_proportion 0.7122166379820556 n_clusters 34
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882612/4882612_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882644/4882644_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2112 n_samples 2502 confidence 0.025 feature_proportion 0.10788780266046524 n_clusters 2
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882644/4882644_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882663/4882663_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1267 n_samples 2245 confidence 0.05 feature_proportion 0.9922447726018727 n_clusters 26
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882663/4882663_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882697/4882697_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2997 n_samples 3393 confidence 0.01 feature_proportion 0.32555801145918667 n_clusters 9
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882697/4882697_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882713/4882713_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4921 n_samples 967 confidence 0.25 feature_proportion 0.24351641823910178 n_clusters 23
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882713/4882713_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882743/4882743_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 670 n_samples 4652 confidence 0.05 feature_proportion 0.5748290380761027 n_clusters 43
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882743/4882743_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882793/4882793_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 845 n_samples 1186 confidence 0.25 feature_proportion 0.16549853419885038 n_clusters 42
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882793/4882793_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882815/4882815_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4739 n_samples 4452 confidence 0.001 feature_proportion 0.5281202441249043 n_clusters 25
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882815/4882815_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882844/4882844_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2814 n_samples 2484 confidence 0.025 feature_proportion 0.9142566294204444 n_clusters 8
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882844/4882844_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882864/4882864_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1439 n_samples 3135 confidence 0.001 feature_proportion 0.27887943053245545 n_clusters 28
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882864/4882864_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882894/4882894_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1981 n_samples 1613 confidence 0.01 feature_proportion 0.6341452170498669 n_clusters 3
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882894/4882894_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882910/4882910_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3688 n_samples 2771 confidence 0.05 feature_proportion 0.061125947700813414 n_clusters 32
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882910/4882910_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882933/4882933_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4343 n_samples 334 confidence 0.025 feature_proportion 0.3834425507392734 n_clusters 49
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882933/4882933_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882949/4882949_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 156 n_samples 4029 confidence 0.25 feature_proportion 0.808422067515552 n_clusters 17
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882949/4882949_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882983/4882983_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 625 n_samples 1911 confidence 0.01 feature_proportion 0.3680743081662804 n_clusters 14
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4882983/4882983_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883002/4883002_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3875 n_samples 3721 confidence 0.25 feature_proportion 0.9489970429800451 n_clusters 47
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883002/4883002_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883038/4883038_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3219 n_samples 670 confidence 0.025 feature_proportion 0.6183201151788235 n_clusters 36
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883038/4883038_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883058/4883058_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2449 n_samples 4944 confidence 0.005 feature_proportion 0.2012440787386149 n_clusters 6
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883058/4883058_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883113/4883113_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1596 n_samples 311 confidence 0.05 feature_proportion 0.8370027066040784 n_clusters 31
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883113/4883113_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883155/4883155_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2658 n_samples 4077 confidence 0.001 feature_proportion 0.48231493355706334 n_clusters 10
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883155/4883155_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883179/4883179_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4582 n_samples 1494 confidence 0.01 feature_proportion 0.0868131575807929 n_clusters 21
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883179/4883179_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883196/4883196_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1001 n_samples 2874 confidence 0.1 feature_proportion 0.7301242784764618 n_clusters 39
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883196/4883196_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883227/4883227_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1028 n_samples 147 confidence 0.001 feature_proportion 0.041523982618004086 n_clusters 37
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883227/4883227_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883266/4883266_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4633 n_samples 4236 confidence 0.05 feature_proportion 0.653525777341798 n_clusters 5
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883266/4883266_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883331/4883331_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2806 n_samples 1331 confidence 0.025 feature_proportion 0.7887901756819338 n_clusters 16
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883331/4883331_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883353/4883353_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1681 n_samples 3034 confidence 0.25 feature_proportion 0.4027930764630437 n_clusters 45
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883353/4883353_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883422/4883422_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2398 n_samples 2066 confidence 0.25 feature_proportion 0.5087677535228431 n_clusters 20
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883422/4883422_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883432/4883432_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3191 n_samples 3573 confidence 0.1 feature_proportion 0.18513239091075956 n_clusters 40
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883432/4883432_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883468/4883468_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3789 n_samples 824 confidence 0.01 feature_proportion 0.2594970280509442 n_clusters 29
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883468/4883468_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883485/4883485_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 476 n_samples 4795 confidence 0.1 feature_proportion 0.9338604366928339 n_clusters 12
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883485/4883485_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883576/4883576_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4257 n_samples 2612 confidence 0.025 feature_proportion 0.8254474553503096 n_clusters 27
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883576/4883576_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883541/4883541_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 7 n_samples 1776 confidence 0.05 feature_proportion 0.494152264745906 n_clusters 9
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883541/4883541_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883606/4883606_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3661 n_samples 498 confidence 0.01 feature_proportion 0.7419306233301759 n_clusters 44
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883606/4883606_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883634/4883634_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1930 n_samples 3871 confidence 0.05 feature_proportion 0.07522702780924738 n_clusters 23
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883634/4883634_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883653/4883653_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1525 n_samples 1033 confidence 0.001 feature_proportion 0.9605813305620104 n_clusters 48
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883653/4883653_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883680/4883680_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2962 n_samples 4601 confidence 0.025 feature_proportion 0.3562698055021465 n_clusters 18
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883680/4883680_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883701/4883701_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4790 n_samples 2330 confidence 0.005 feature_proportion 0.21279736511409283 n_clusters 1
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883701/4883701_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883737/4883737_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 872 n_samples 3283 confidence 0.05 feature_proportion 0.6064847488682718 n_clusters 34
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883737/4883737_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883753/4883753_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 741 n_samples 2394 confidence 0.005 feature_proportion 0.13481731566973032 n_clusters 33
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883753/4883753_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883787/4883787_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4928 n_samples 3240 confidence 0.01 feature_proportion 0.5598142616786063 n_clusters 3
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883787/4883787_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883836/4883836_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3103 n_samples 1115 confidence 0.05 feature_proportion 0.8825705810561776 n_clusters 17
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883836/4883836_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883884/4883884_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1396 n_samples 4498 confidence 0.1 feature_proportion 0.3095681460853666 n_clusters 50
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883884/4883884_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883913/4883913_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2105 n_samples 405 confidence 0.025 feature_proportion 0.6638822846058756 n_clusters 24
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883913/4883913_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883947/4883947_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3479 n_samples 3983 confidence 0.001 feature_proportion 0.028487775456160307 n_clusters 42
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4883947/4883947_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4884051/4884051_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4073 n_samples 1703 confidence 0.005 feature_proportion 0.41607275007665157 n_clusters 28
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4884051/4884051_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4884078/4884078_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 179 n_samples 2666 confidence 0.01 feature_proportion 0.778677506653592 n_clusters 7
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4884078/4884078_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4884137/4884137_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 336 n_samples 780 confidence 0.25 feature_proportion 0.33738547364249827 n_clusters 11
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4884137/4884137_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4884156/4884156_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3918 n_samples 4859 confidence 0.001 feature_proportion 0.9806834482569248 n_clusters 31
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4884156/4884156_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4884188/4884188_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3323 n_samples 1963 confidence 0.005 feature_proportion 0.5866264545377344 n_clusters 39
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4884188/4884188_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4884225/4884225_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2260 n_samples 3656 confidence 0.01 feature_proportion 0.23192517829686404 n_clusters 22
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4884225/4884225_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4884286/4884286_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1865 n_samples 1443 confidence 0.05 feature_proportion 0.8667473864369094 n_clusters 46
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4884286/4884286_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4884303/4884303_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2635 n_samples 2940 confidence 0.25 feature_proportion 0.4496843773070723 n_clusters 14
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4884303/4884303_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4884337/4884337_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4459 n_samples 202 confidence 0.1 feature_proportion 0.11945097291283309 n_clusters 6
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4884337/4884337_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4884354/4884354_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1209 n_samples 4163 confidence 0.025 feature_proportion 0.700387329891324 n_clusters 35
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4884354/4884354_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4884439/4884439_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1193 n_samples 211 confidence 0.001 feature_proportion 0.5525886439047754 n_clusters 50
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4884439/4884439_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4884459/4884459_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4466 n_samples 4172 confidence 0.01 feature_proportion 0.1276060561928898 n_clusters 16
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4884459/4884459_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4884992/4884992_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2621 n_samples 1433 confidence 0.1 feature_proportion 0.3013675397168845 n_clusters 2
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4884992/4884992_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885011/4885011_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1867 n_samples 2931 confidence 0.01 feature_proportion 0.8743860431909561 n_clusters 32
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885011/4885011_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885039/4885039_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2254 n_samples 1973 confidence 0.05 feature_proportion 0.021093732107430697 n_clusters 8
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885039/4885039_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885057/4885057_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3340 n_samples 3666 confidence 0.25 feature_proportion 0.6564739721883088 n_clusters 28
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885057/4885057_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885089/4885089_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3914 n_samples 770 confidence 0.025 feature_proportion 0.7703103038873523 n_clusters 43
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885089/4885089_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885107/4885107_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 348 n_samples 4848 confidence 0.05 feature_proportion 0.4076893300935626 n_clusters 25
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885107/4885107_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885141/4885141_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 192 n_samples 1712 confidence 0.1 feature_proportion 0.9732908474300057 n_clusters 21
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885141/4885141_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885161/4885161_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4071 n_samples 2675 confidence 0.01 feature_proportion 0.3299766704700887 n_clusters 38
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885161/4885161_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885196/4885196_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3496 n_samples 396 confidence 0.005 feature_proportion 0.2235565032660961 n_clusters 30
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885196/4885196_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885208/4885208_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2097 n_samples 3974 confidence 0.25 feature_proportion 0.5782435550522059 n_clusters 10
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885208/4885208_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885269/4885269_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1399 n_samples 1126 confidence 0.005 feature_proportion 0.44245835800655187 n_clusters 36
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885269/4885269_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885291/4885291_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3091 n_samples 4509 confidence 0.025 feature_proportion 0.8595374802537262 n_clusters 6
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885291/4885291_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885322/4885322_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4935 n_samples 2384 confidence 0.05 feature_proportion 0.6921870953068138 n_clusters 14
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885322/4885322_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885339/4885339_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 724 n_samples 3230 confidence 0.01 feature_proportion 0.11126511149667204 n_clusters 47
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885339/4885339_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885425/4885425_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 869 n_samples 2340 confidence 0.025 feature_proportion 0.645386931726709 n_clusters 45
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885425/4885425_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885490/4885490_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4802 n_samples 3294 confidence 0.1 feature_proportion 0.03339951017126441 n_clusters 15
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885490/4885490_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885534/4885534_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2956 n_samples 1023 confidence 0.005 feature_proportion 0.3956274943649769 n_clusters 4
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885534/4885534_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885552/4885552_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1542 n_samples 4591 confidence 0.001 feature_proportion 0.7816407067012042 n_clusters 37
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885552/4885552_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885588/4885588_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1917 n_samples 508 confidence 0.1 feature_proportion 0.17670327867753804 n_clusters 13
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885588/4885588_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885605/4885605_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3663 n_samples 3880 confidence 0.001 feature_proportion 0.5003244168348611 n_clusters 30
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885605/4885605_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885636/4885636_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4241 n_samples 1767 confidence 0.1 feature_proportion 0.9264064468964934 n_clusters 41
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885636/4885636_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885656/4885656_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 15 n_samples 2603 confidence 0.25 feature_proportion 0.2520268359091133 n_clusters 21
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885656/4885656_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885688/4885688_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 483 n_samples 834 confidence 0.01 feature_proportion 0.8170188636146486 n_clusters 23
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885688/4885688_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885709/4885709_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3772 n_samples 4805 confidence 0.001 feature_proportion 0.48570745579339564 n_clusters 43
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885709/4885709_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885738/4885738_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3195 n_samples 2055 confidence 0.05 feature_proportion 0.06777254725806416 n_clusters 26
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885738/4885738_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885757/4885757_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2386 n_samples 3563 confidence 0.025 feature_proportion 0.7344618737101555 n_clusters 8
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885757/4885757_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885791/4885791_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1697 n_samples 1340 confidence 0.25 feature_proportion 0.348129636336118 n_clusters 35
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885791/4885791_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885808/4885808_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2799 n_samples 3043 confidence 0.05 feature_proportion 0.9524572298992425 n_clusters 1
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885808/4885808_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885839/4885839_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4646 n_samples 138 confidence 0.01 feature_proportion 0.5993205200638622 n_clusters 19
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885839/4885839_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885860/4885860_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1025 n_samples 4226 confidence 0.025 feature_proportion 0.20564749460667373 n_clusters 49
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885860/4885860_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885917/4885917_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1014 n_samples 1504 confidence 0.01 feature_proportion 0.5199200169760734 n_clusters 27
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885917/4885917_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885972/4885972_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4580 n_samples 2885 confidence 0.25 feature_proportion 0.1573126653470099 n_clusters 7
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4885972/4885972_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886016/4886016_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2674 n_samples 301 confidence 0.001 feature_proportion 0.2716534335389733 n_clusters 24
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886016/4886016_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886031/4886031_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1588 n_samples 4067 confidence 0.1 feature_proportion 0.9070467009302229 n_clusters 41
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886031/4886031_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886068/4886068_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2453 n_samples 680 confidence 0.001 feature_proportion 0.052757294977083806 n_clusters 17
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886068/4886068_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886088/4886088_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3207 n_samples 4953 confidence 0.025 feature_proportion 0.6257622952573001 n_clusters 50
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886088/4886088_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886116/4886116_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3881 n_samples 1902 confidence 0.01 feature_proportion 0.8010294741243124 n_clusters 33
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886116/4886116_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886139/4886139_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 608 n_samples 3712 confidence 0.005 feature_proportion 0.37603374013118446 n_clusters 3
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886139/4886139_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886168/4886168_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 139 n_samples 344 confidence 0.001 feature_proportion 0.940629832778126 n_clusters 5
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886168/4886168_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886189/4886189_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4351 n_samples 4039 confidence 0.05 feature_proportion 0.35969089561887085 n_clusters 36
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886189/4886189_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886224/4886224_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3675 n_samples 1602 confidence 0.01 feature_proportion 0.193850013082847 n_clusters 46
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886224/4886224_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886241/4886241_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1983 n_samples 2761 confidence 0.025 feature_proportion 0.610911825068295 n_clusters 13
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886241/4886241_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886279/4886279_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1432 n_samples 2493 confidence 0.01 feature_proportion 0.47411430488154294 n_clusters 39
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886279/4886279_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886304/4886304_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2831 n_samples 3144 confidence 0.005 feature_proportion 0.8288181910458953 n_clusters 22
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886304/4886304_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886350/4886350_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4736 n_samples 1177 confidence 0.1 feature_proportion 0.7228986532669515 n_clusters 11
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886350/4886350_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886372/4886372_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 857 n_samples 4442 confidence 0.25 feature_proportion 0.07960190553963184 n_clusters 32
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886372/4886372_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886437/4886437_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 677 n_samples 976 confidence 0.005 feature_proportion 0.6760758833624423 n_clusters 29
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886437/4886437_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886491/4886491_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4903 n_samples 4661 confidence 0.001 feature_proportion 0.0017132257241755725 n_clusters 12
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886491/4886491_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886527/4886527_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3001 n_samples 2235 confidence 0.1 feature_proportion 0.4273212758358568 n_clusters 19
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886527/4886527_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886549/4886549_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1255 n_samples 3384 confidence 0.05 feature_proportion 0.7509597242549062 n_clusters 40
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886549/4886549_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886611/4886611_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2128 n_samples 1871 confidence 0.05 feature_proportion 0.14695847801491618 n_clusters 15
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886611/4886611_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886626/4886626_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3542 n_samples 2512 confidence 0.005 feature_proportion 0.5329548559729009 n_clusters 46
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886626/4886626_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886662/4886662_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4215 n_samples 554 confidence 0.25 feature_proportion 0.8937685144525022 n_clusters 38
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886662/4886662_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886680/4886680_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 282 n_samples 3809 confidence 0.001 feature_proportion 0.2817636636644602 n_clusters 5
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886680/4886680_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886765/4886765_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 438 n_samples 2121 confidence 0.1 feature_proportion 0.8477002029735595 n_clusters 1
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886765/4886765_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886786/4886786_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4059 n_samples 3512 confidence 0.005 feature_proportion 0.4540135553516448 n_clusters 34
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886786/4886786_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886868/4886868_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3387 n_samples 920 confidence 0.05 feature_proportion 0.09945871273428201 n_clusters 48
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886868/4886868_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886885/4886885_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2285 n_samples 4695 confidence 0.01 feature_proportion 0.7037732789870351 n_clusters 18
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886885/4886885_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886963/4886963_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1723 n_samples 53 confidence 0.005 feature_proportion 0.31839245166815816 n_clusters 44
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886963/4886963_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886984/4886984_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2531 n_samples 4336 confidence 0.01 feature_proportion 0.9850952813141048 n_clusters 24
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4886984/4886984_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887055/4887055_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4435 n_samples 1274 confidence 0.025 feature_proportion 0.5666901998966932 n_clusters 10
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887055/4887055_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887075/4887075_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1146 n_samples 3094 confidence 0.005 feature_proportion 0.23539193835668265 n_clusters 27
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887075/4887075_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887145/4887145_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1100 n_samples 1915 confidence 0.005 feature_proportion 0.6235905433520674 n_clusters 10
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887145/4887145_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887178/4887178_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4413 n_samples 3699 confidence 0.025 feature_proportion 0.1987147394325584 n_clusters 31
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887178/4887178_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887213/4887213_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2568 n_samples 656 confidence 0.01 feature_proportion 0.3743183567691594 n_clusters 38
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887213/4887213_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887229/4887229_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1775 n_samples 4976 confidence 0.25 feature_proportion 0.9474433019943536 n_clusters 21
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887229/4887229_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887265/4887265_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2307 n_samples 239 confidence 0.01 feature_proportion 0.09421271076798439 n_clusters 47
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887265/4887265_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887283/4887283_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3433 n_samples 4129 confidence 0.025 feature_proportion 0.7297297301720828 n_clusters 14
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887283/4887283_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887315/4887315_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4007 n_samples 1556 confidence 0.005 feature_proportion 0.8414793016407639 n_clusters 6
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887315/4887315_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887333/4887333_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 401 n_samples 2832 confidence 0.001 feature_proportion 0.47899568715319035 n_clusters 36
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887333/4887333_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887393/4887393_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 246 n_samples 1239 confidence 0.05 feature_proportion 0.9197097299303859 n_clusters 32
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887393/4887393_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887410/4887410_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4164 n_samples 4380 confidence 0.025 feature_proportion 0.2765328974053264 n_clusters 3
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887410/4887410_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887444/4887444_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3588 n_samples 2441 confidence 0.025 feature_proportion 0.17192538898065687 n_clusters 17
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887444/4887444_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887460/4887460_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2151 n_samples 3197 confidence 0.001 feature_proportion 0.5267491754759103 n_clusters 49
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887460/4887460_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887498/4887498_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1307 n_samples 1589 confidence 0.1 feature_proportion 0.39065931261889636 n_clusters 25
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887498/4887498_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887517/4887517_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3037 n_samples 2774 confidence 0.25 feature_proportion 0.8078448320031166 n_clusters 42
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887517/4887517_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887553/4887553_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4881 n_samples 368 confidence 0.01 feature_proportion 0.638439124878496 n_clusters 28
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887553/4887553_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887570/4887570_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 631 n_samples 4017 confidence 0.05 feature_proportion 0.0576239099893719 n_clusters 8
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887570/4887570_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887625/4887625_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 805 n_samples 606 confidence 0.1 feature_proportion 0.716449632724747 n_clusters 9
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887625/4887625_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887677/4887677_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4699 n_samples 3757 confidence 0.25 feature_proportion 0.10432485186308622 n_clusters 26
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887677/4887677_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887708/4887708_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2853 n_samples 1809 confidence 0.001 feature_proportion 0.4686396037228405 n_clusters 43
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887708/4887708_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887732/4887732_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1478 n_samples 2575 confidence 0.025 feature_proportion 0.8545160367358476 n_clusters 23
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887732/4887732_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887772/4887772_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2020 n_samples 2212 confidence 0.005 feature_proportion 0.2500041861068457 n_clusters 48
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887772/4887772_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887821/4887821_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3727 n_samples 3407 confidence 0.01 feature_proportion 0.5735188825130463 n_clusters 19
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887821/4887821_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887892/4887892_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4305 n_samples 990 confidence 0.25 feature_proportion 0.9977587861977517 n_clusters 2
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887892/4887892_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887913/4887913_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 117 n_samples 4648 confidence 0.025 feature_proportion 0.3232723914179951 n_clusters 34
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887913/4887913_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887955/4887955_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 585 n_samples 1297 confidence 0.005 feature_proportion 0.7636213107332587 n_clusters 37
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887955/4887955_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887976/4887976_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3835 n_samples 3071 confidence 0.01 feature_proportion 0.43220313399098814 n_clusters 4
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4887976/4887976_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888012/4888012_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3258 n_samples 39 confidence 0.1 feature_proportion 0.016323555069044232 n_clusters 15
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888012/4888012_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888076/4888076_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2489 n_samples 4349 confidence 0.05 feature_proportion 0.6829064843840897 n_clusters 45
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888076/4888076_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888146/4888146_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1634 n_samples 867 confidence 0.025 feature_proportion 0.29639160069823267 n_clusters 20
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888146/4888146_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888165/4888165_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2696 n_samples 4747 confidence 0.1 feature_proportion 0.9005824595522135 n_clusters 41
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888165/4888165_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888204/4888204_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4544 n_samples 2183 confidence 0.001 feature_proportion 0.5456330983731895 n_clusters 30
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888204/4888204_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888220/4888220_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 962 n_samples 3449 confidence 0.25 feature_proportion 0.15182272848114373 n_clusters 13
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888220/4888220_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888254/4888254_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1067 n_samples 708 confidence 0.1 feature_proportion 0.5928714920859783 n_clusters 14
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888254/4888254_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888276/4888276_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4673 n_samples 4911 confidence 0.005 feature_proportion 0.23037044836580753 n_clusters 46
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888276/4888276_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888313/4888313_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2767 n_samples 2026 confidence 0.25 feature_proportion 0.3426549128703773 n_clusters 35
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888313/4888313_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888332/4888332_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1641 n_samples 3614 confidence 0.001 feature_proportion 0.9781550978962332 n_clusters 6
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888332/4888332_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888362/4888362_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2360 n_samples 1447 confidence 0.005 feature_proportion 0.12392669797502458 n_clusters 31
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888362/4888362_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888384/4888384_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3153 n_samples 2918 confidence 0.001 feature_proportion 0.6970689534619451 n_clusters 11
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888384/4888384_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888420/4888420_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3828 n_samples 188 confidence 0.05 feature_proportion 0.874147809598595 n_clusters 22
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888420/4888420_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888440/4888440_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 515 n_samples 4195 confidence 0.025 feature_proportion 0.4492889590281993 n_clusters 39
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888440/4888440_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888476/4888476_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 47 n_samples 2370 confidence 0.025 feature_proportion 0.8889982909411192 n_clusters 42
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888476/4888476_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888495/4888495_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4297 n_samples 3243 confidence 0.25 feature_proportion 0.3081962223332375 n_clusters 24
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888495/4888495_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888533/4888533_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3621 n_samples 1149 confidence 0.1 feature_proportion 0.14026956107653676 n_clusters 7
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888533/4888533_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888554/4888554_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1891 n_samples 4485 confidence 0.01 feature_proportion 0.5574685836546123 n_clusters 27
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888554/4888554_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888588/4888588_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1486 n_samples 458 confidence 0.25 feature_proportion 0.4203656838312745 n_clusters 3
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888588/4888588_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888610/4888610_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2924 n_samples 3911 confidence 0.1 feature_proportion 0.7751764430161565 n_clusters 33
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888610/4888610_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888642/4888642_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4828 n_samples 1660 confidence 0.25 feature_proportion 0.6711000205595046 n_clusters 50
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888642/4888642_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888667/4888667_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 910 n_samples 2728 confidence 0.05 feature_proportion 0.02790956586971879 n_clusters 17
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888667/4888667_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888730/4888730_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 780 n_samples 1743 confidence 0.25 feature_proportion 0.7490874461978674 n_clusters 18
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888730/4888730_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888800/4888800_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4967 n_samples 2626 confidence 0.025 feature_proportion 0.07458790513686836 n_clusters 48
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888800/4888800_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888885/4888885_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3064 n_samples 521 confidence 0.05 feature_proportion 0.49838428541459145 n_clusters 34
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888885/4888885_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888905/4888905_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1358 n_samples 3867 confidence 0.005 feature_proportion 0.8218854786269367 n_clusters 1
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888905/4888905_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888990/4888990_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2065 n_samples 1075 confidence 0.1 feature_proportion 0.2183105236068368 n_clusters 27
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4888990/4888990_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889007/4889007_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3440 n_samples 4538 confidence 0.05 feature_proportion 0.6041999839302152 n_clusters 9
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889007/4889007_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889039/4889039_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4113 n_samples 2278 confidence 0.01 feature_proportion 0.9670699535328895 n_clusters 24
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889039/4889039_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889064/4889064_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 219 n_samples 3356 confidence 0.25 feature_proportion 0.3549587948359549 n_clusters 44
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889064/4889064_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889096/4889096_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 374 n_samples 86 confidence 0.05 feature_proportion 0.7962515119295567 n_clusters 40
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889096/4889096_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889114/4889114_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3956 n_samples 4279 confidence 0.005 feature_proportion 0.4024585712701082 n_clusters 20
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889114/4889114_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889149/4889149_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3284 n_samples 1402 confidence 0.001 feature_proportion 0.04606062076613307 n_clusters 12
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889149/4889149_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889166/4889166_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2222 n_samples 2981 confidence 0.1 feature_proportion 0.6502683139983565 n_clusters 29
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889166/4889166_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889252/4889252_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1826 n_samples 2079 confidence 0.05 feature_proportion 0.2647055541928858 n_clusters 5
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889252/4889252_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889270/4889270_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2595 n_samples 3540 confidence 0.025 feature_proportion 0.9312711732462049 n_clusters 37
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889270/4889270_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889300/4889300_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4499 n_samples 821 confidence 0.025 feature_proportion 0.5149518779851496 n_clusters 45
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889300/4889300_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889397/4889397_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1249 n_samples 4818 confidence 0.005 feature_proportion 0.18351674789376557 n_clusters 16
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889397/4889397_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889497/4889497_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1212 n_samples 1630 confidence 0.01 feature_proportion 0.33387512470036745 n_clusters 19
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889497/4889497_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889524/4889524_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4525 n_samples 2737 confidence 0.05 feature_proportion 0.9693923894818872 n_clusters 40
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889524/4889524_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889542/4889542_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2603 n_samples 331 confidence 0.05 feature_proportion 0.5821419758219272 n_clusters 29
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889542/4889542_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889576/4889576_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1809 n_samples 4058 confidence 0.025 feature_proportion 0.21965808621421457 n_clusters 12
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889576/4889576_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889627/4889627_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2194 n_samples 1197 confidence 0.01 feature_proportion 0.8634359567910432 n_clusters 38
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889627/4889627_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889645/4889645_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3320 n_samples 4417 confidence 0.1 feature_proportion 0.4385598777513951 n_clusters 5
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889645/4889645_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889683/4889683_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3974 n_samples 2478 confidence 0.005 feature_proportion 0.115163509959355 n_clusters 16
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889683/4889683_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889703/4889703_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 368 n_samples 3155 confidence 0.25 feature_proportion 0.6882887005619704 n_clusters 46
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889703/4889703_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889740/4889740_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 211 n_samples 276 confidence 0.025 feature_proportion 0.13150444350205362 n_clusters 48
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889740/4889740_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889761/4889761_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4129 n_samples 4088 confidence 0.25 feature_proportion 0.5486902528777718 n_clusters 18
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889761/4889761_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889796/4889796_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3477 n_samples 1515 confidence 0.005 feature_proportion 0.8782845308817923 n_clusters 1
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889796/4889796_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889812/4889812_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2039 n_samples 2869 confidence 0.05 feature_proportion 0.29746905574388804 n_clusters 33
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889812/4889812_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889846/4889846_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1340 n_samples 1879 confidence 0.001 feature_proportion 0.6603723966758698 n_clusters 10
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889846/4889846_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889863/4889863_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3071 n_samples 3741 confidence 0.1 feature_proportion 0.01719530390202999 n_clusters 26
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889863/4889863_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889892/4889892_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4994 n_samples 698 confidence 0.25 feature_proportion 0.4115877806060016 n_clusters 44
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889892/4889892_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889911/4889911_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 743 n_samples 4940 confidence 0.1 feature_proportion 0.7664118570927531 n_clusters 24
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889911/4889911_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889943/4889943_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 928 n_samples 909 confidence 0.25 feature_proportion 0.4896059025879949 n_clusters 25
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889943/4889943_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889961/4889961_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4822 n_samples 4711 confidence 0.01 feature_proportion 0.8131204131022096 n_clusters 41
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889961/4889961_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889996/4889996_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2896 n_samples 2147 confidence 0.005 feature_proportion 0.7383603019155562 n_clusters 27
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4889996/4889996_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890011/4890011_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1522 n_samples 3491 confidence 0.1 feature_proportion 0.06387412277050317 n_clusters 7
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890011/4890011_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890074/4890074_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1898 n_samples 1256 confidence 0.005 feature_proportion 0.9563557138722389 n_clusters 33
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890074/4890074_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890124/4890124_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3605 n_samples 3108 confidence 0.001 feature_proportion 0.3442311486452818 n_clusters 3
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890124/4890124_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890191/4890191_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4260 n_samples 76 confidence 0.05 feature_proportion 0.20954588563367724 n_clusters 18
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890191/4890191_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890211/4890211_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 73 n_samples 4308 confidence 0.01 feature_proportion 0.5954221327546984 n_clusters 50
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890211/4890211_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890276/4890276_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 542 n_samples 2248 confidence 0.005 feature_proportion 0.037297904916107655 n_clusters 46
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890276/4890276_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890295/4890295_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3792 n_samples 3366 confidence 0.001 feature_proportion 0.641488533264026 n_clusters 13
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890295/4890295_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890332/4890332_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3135 n_samples 948 confidence 0.025 feature_proportion 0.7855391869563609 n_clusters 5
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890332/4890332_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890356/4890356_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2367 n_samples 4684 confidence 0.25 feature_proportion 0.39172901782765984 n_clusters 35
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890356/4890356_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890441/4890441_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1679 n_samples 570 confidence 0.1 feature_proportion 0.5042228338867426 n_clusters 11
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890441/4890441_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890468/4890468_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2741 n_samples 3798 confidence 0.01 feature_proportion 0.17280485790781677 n_clusters 32
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890468/4890468_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890511/4890511_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4665 n_samples 1850 confidence 0.1 feature_proportion 0.25592529385723173 n_clusters 39
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890511/4890511_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890535/4890535_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1084 n_samples 2538 confidence 0.05 feature_proportion 0.9225079926662147 n_clusters 22
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890535/4890535_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890575/4890575_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 954 n_samples 417 confidence 0.25 feature_proportion 0.3635893498491496 n_clusters 4
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890575/4890575_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890601/4890601_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4560 n_samples 3948 confidence 0.005 feature_proportion 0.9367313748300076 n_clusters 37
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890601/4890601_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890638/4890638_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2734 n_samples 1697 confidence 0.001 feature_proportion 0.6148102458380162 n_clusters 44
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890638/4890638_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890660/4890660_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1608 n_samples 2686 confidence 0.01 feature_proportion 0.18995159603096545 n_clusters 15
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890660/4890660_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890699/4890699_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2471 n_samples 2412 confidence 0.001 feature_proportion 0.8327166675832123 n_clusters 41
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890699/4890699_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890724/4890724_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3265 n_samples 3206 confidence 0.025 feature_proportion 0.47021582462638617 n_clusters 21
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890724/4890724_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890760/4890760_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3863 n_samples 1112 confidence 0.25 feature_proportion 0.08350030400231481 n_clusters 13
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890760/4890760_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890780/4890780_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 549 n_samples 4527 confidence 0.005 feature_proportion 0.7190002585221082 n_clusters 30
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890780/4890780_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890818/4890818_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 80 n_samples 1410 confidence 0.001 feature_proportion 0.16121105265617372 n_clusters 26
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890818/4890818_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890844/4890844_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4331 n_samples 2959 confidence 0.1 feature_proportion 0.5160216259490699 n_clusters 9
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890844/4890844_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890887/4890887_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3734 n_samples 229 confidence 0.025 feature_proportion 0.9109451886210591 n_clusters 23
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890887/4890887_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890914/4890914_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2003 n_samples 4159 confidence 0.05 feature_proportion 0.26775494956597684 n_clusters 43
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890914/4890914_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890981/4890981_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1451 n_samples 744 confidence 0.05 feature_proportion 0.6296607197448612 n_clusters 19
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4890981/4890981_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891001/4891001_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2889 n_samples 4869 confidence 0.25 feature_proportion 0.0488588667716831 n_clusters 49
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891001/4891001_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891036/4891036_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4717 n_samples 1984 confidence 0.025 feature_proportion 0.3799321906436235 n_clusters 35
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891036/4891036_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891058/4891058_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 798 n_samples 3650 confidence 0.01 feature_proportion 0.7971310273297131 n_clusters 1
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891058/4891058_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891144/4891144_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 658 n_samples 2037 confidence 0.025 feature_proportion 0.45791200214624406 n_clusters 2
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891144/4891144_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891163/4891163_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4845 n_samples 3576 confidence 0.001 feature_proportion 0.8438017524611204 n_clusters 32
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891163/4891163_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891202/4891202_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3019 n_samples 857 confidence 0.01 feature_proportion 0.7076717071924359 n_clusters 50
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891202/4891202_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891222/4891222_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1313 n_samples 4777 confidence 0.025 feature_proportion 0.09556028824672103 n_clusters 16
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891222/4891222_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891255/4891255_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2188 n_samples 127 confidence 0.25 feature_proportion 0.9889937652871013 n_clusters 42
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891255/4891255_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891303/4891303_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3562 n_samples 4242 confidence 0.1 feature_proportion 0.314493963977322 n_clusters 25
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891303/4891303_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891363/4891363_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4156 n_samples 1365 confidence 0.05 feature_proportion 0.2392903293836862 n_clusters 8
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891363/4891363_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891379/4891379_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 262 n_samples 3022 confidence 0.001 feature_proportion 0.5627918125875294 n_clusters 28
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891379/4891379_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891411/4891411_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 419 n_samples 1039 confidence 0.025 feature_proportion 0.005611620469018817 n_clusters 30
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891411/4891411_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891464/4891464_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4000 n_samples 4580 confidence 0.005 feature_proportion 0.6721774848997593 n_clusters 10
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891464/4891464_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891521/4891521_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3405 n_samples 2320 confidence 0.25 feature_proportion 0.7548582045100629 n_clusters 21
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891521/4891521_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891541/4891541_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2344 n_samples 3320 confidence 0.001 feature_proportion 0.42342279929853976 n_clusters 38
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891541/4891541_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891582/4891582_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1783 n_samples 1780 confidence 0.025 feature_proportion 0.5368532730247826 n_clusters 14
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891582/4891582_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891603/4891603_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2551 n_samples 2585 confidence 0.001 feature_proportion 0.1430600572451949 n_clusters 47
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891603/4891603_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891641/4891641_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4376 n_samples 480 confidence 0.01 feature_proportion 0.28566212161257865 n_clusters 36
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891641/4891641_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891658/4891658_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1126 n_samples 3904 confidence 0.1 feature_proportion 0.8898700602222234 n_clusters 7
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891658/4891658_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891725/4891725_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1158 n_samples 1167 confidence 0.005 feature_proportion 0.2804312884323299 n_clusters 34
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891725/4891725_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891750/4891750_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4432 n_samples 4472 confidence 0.01 feature_proportion 0.9158113426212221 n_clusters 1
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891750/4891750_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891851/4891851_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2510 n_samples 2347 confidence 0.001 feature_proportion 0.5306476594489068 n_clusters 18
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891851/4891851_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891868/4891868_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1755 n_samples 3271 confidence 0.05 feature_proportion 0.16802690128982067 n_clusters 48
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891868/4891868_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891902/4891902_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2287 n_samples 1671 confidence 0.025 feature_proportion 0.8117432602085173 n_clusters 23
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891902/4891902_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891921/4891921_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3374 n_samples 2712 confidence 0.005 feature_proportion 0.38676088813133536 n_clusters 44
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891921/4891921_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891957/4891957_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4027 n_samples 432 confidence 0.1 feature_proportion 0.061522356783971194 n_clusters 27
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891957/4891957_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891974/4891974_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 460 n_samples 3932 confidence 0.01 feature_proportion 0.6345406743660569 n_clusters 9
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4891974/4891974_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892056/4892056_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 303 n_samples 2010 confidence 0.001 feature_proportion 0.20261319738067687 n_clusters 12
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892056/4892056_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892073/4892073_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4183 n_samples 3624 confidence 0.005 feature_proportion 0.6196920891217887 n_clusters 29
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892073/4892073_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892100/4892100_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3531 n_samples 728 confidence 0.25 feature_proportion 0.9513417190462351 n_clusters 40
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892100/4892100_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892116/4892116_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2131 n_samples 4885 confidence 0.1 feature_proportion 0.3704199359994382 n_clusters 20
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892116/4892116_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892149/4892149_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1286 n_samples 174 confidence 0.005 feature_proportion 0.7336282104272396 n_clusters 45
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892149/4892149_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892165/4892165_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2978 n_samples 4214 confidence 0.05 feature_proportion 0.09031423423066735 n_clusters 16
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892165/4892165_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892197/4892197_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4902 n_samples 1475 confidence 0.05 feature_proportion 0.4828940818980336 n_clusters 5
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892197/4892197_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892215/4892215_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 690 n_samples 2895 confidence 0.025 feature_proportion 0.8375809031780809 n_clusters 38
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892215/4892215_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892244/4892244_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 825 n_samples 1381 confidence 0.1 feature_proportion 0.4361015324536711 n_clusters 35
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892244/4892244_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892261/4892261_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4758 n_samples 3006 confidence 0.025 feature_proportion 0.7597229159884155 n_clusters 6
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892261/4892261_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892295/4892295_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2833 n_samples 102 confidence 0.005 feature_proportion 0.6868049609214067 n_clusters 13
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892295/4892295_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892346/4892346_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1419 n_samples 4268 confidence 0.25 feature_proportion 0.012425074813887476 n_clusters 46
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892346/4892346_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892426/4892426_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1962 n_samples 793 confidence 0.001 feature_proportion 0.9044808803219349 n_clusters 22
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892426/4892426_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892448/4892448_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3707 n_samples 4842 confidence 0.1 feature_proportion 0.2924931836463511 n_clusters 39
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892448/4892448_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892488/4892488_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4362 n_samples 2092 confidence 0.01 feature_proportion 0.15572118271142243 n_clusters 31
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892488/4892488_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892509/4892509_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 136 n_samples 3522 confidence 0.05 feature_proportion 0.5417346404250711 n_clusters 11
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892509/4892509_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892549/4892549_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 606 n_samples 544 confidence 0.25 feature_proportion 0.10822330237552524 n_clusters 7
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892549/4892549_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892583/4892583_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3894 n_samples 3838 confidence 0.025 feature_proportion 0.7125511859301478 n_clusters 28
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892583/4892583_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892667/4892667_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3238 n_samples 1725 confidence 0.01 feature_proportion 0.8584144612234086 n_clusters 42
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892667/4892667_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892691/4892691_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2430 n_samples 2639 confidence 0.005 feature_proportion 0.4647411755174398 n_clusters 24
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892691/4892691_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892738/4892738_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1576 n_samples 2303 confidence 0.01 feature_proportion 0.5774173702038825 n_clusters 50
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892738/4892738_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892759/4892759_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2677 n_samples 3335 confidence 0.1 feature_proportion 0.24610570213384927 n_clusters 17
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892759/4892759_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892795/4892795_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4601 n_samples 1064 confidence 0.001 feature_proportion 0.3271707787271589 n_clusters 3
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892795/4892795_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892816/4892816_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 981 n_samples 4554 confidence 0.1 feature_proportion 0.9938603951707482 n_clusters 33
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892816/4892816_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892850/4892850_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1047 n_samples 2452 confidence 0.25 feature_proportion 0.3120946133602411 n_clusters 43
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892850/4892850_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892875/4892875_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4614 n_samples 3181 confidence 0.005 feature_proportion 0.8850999036319553 n_clusters 23
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892875/4892875_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892912/4892912_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2787 n_samples 1214 confidence 0.025 feature_proportion 0.5613670676276088 n_clusters 9
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892912/4892912_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892923/4892923_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1700 n_samples 4401 confidence 0.001 feature_proportion 0.1363710733857006 n_clusters 26
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4892923/4892923_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893011/4893011_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2418 n_samples 386 confidence 0.01 feature_proportion 0.7790748712215573 n_clusters 2
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893011/4893011_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893029/4893029_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3172 n_samples 4003 confidence 0.001 feature_proportion 0.41646725934371354 n_clusters 34
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893029/4893029_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893064/4893064_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3770 n_samples 1566 confidence 0.025 feature_proportion 0.03180801266431808 n_clusters 48
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893064/4893064_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893085/4893085_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 496 n_samples 2802 confidence 0.1 feature_proportion 0.6672015700470656 n_clusters 19
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893085/4893085_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893158/4893158_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 26 n_samples 643 confidence 0.01 feature_proportion 0.234268906313926 n_clusters 15
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893158/4893158_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893179/4893179_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4238 n_samples 4995 confidence 0.025 feature_proportion 0.5889730378556997 n_clusters 45
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893179/4893179_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893265/4893265_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3642 n_samples 1943 confidence 0.05 feature_proportion 0.9820535149481148 n_clusters 37
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893265/4893265_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893284/4893284_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1950 n_samples 3675 confidence 0.005 feature_proportion 0.33875649210065606 n_clusters 4
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893284/4893284_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893319/4893319_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1543 n_samples 1541 confidence 0.001 feature_proportion 0.7009674337171018 n_clusters 30
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893319/4893319_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893341/4893341_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2943 n_samples 2843 confidence 0.025 feature_proportion 0.12002822143770754 n_clusters 12
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893341/4893341_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893375/4893375_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4771 n_samples 259 confidence 0.25 feature_proportion 0.45318735377304253 n_clusters 20
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893375/4893375_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893405/4893405_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 891 n_samples 4103 confidence 0.001 feature_proportion 0.8702494111359119 n_clusters 41
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893405/4893405_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893447/4893447_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 722 n_samples 11 confidence 0.05 feature_proportion 0.4063569697327912 n_clusters 39
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893447/4893447_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893510/4893510_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4948 n_samples 4373 confidence 0.1 feature_proportion 0.7923531171847135 n_clusters 21
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893510/4893510_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893564/4893564_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3122 n_samples 1310 confidence 0.25 feature_proportion 0.6541667905356735 n_clusters 10
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893564/4893564_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893588/4893588_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1377 n_samples 3053 confidence 0.005 feature_proportion 0.04216214051097632 n_clusters 31
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893588/4893588_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893630/4893630_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2085 n_samples 2162 confidence 0.025 feature_proportion 0.9351695940159261 n_clusters 6
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893630/4893630_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893657/4893657_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3498 n_samples 3475 confidence 0.01 feature_proportion 0.26080713714100423 n_clusters 36
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893657/4893657_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893692/4893692_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4092 n_samples 883 confidence 0.001 feature_proportion 0.1874152021240443 n_clusters 47
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893692/4893692_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893714/4893714_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 160 n_samples 4736 confidence 0.25 feature_proportion 0.5110534200370311 n_clusters 14
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893714/4893714_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893749/4893749_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 316 n_samples 1835 confidence 0.025 feature_proportion 0.07848635564930737 n_clusters 17
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893749/4893749_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893767/4893767_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3937 n_samples 2554 confidence 0.25 feature_proportion 0.7451889994032681 n_clusters 49
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893767/4893767_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893801/4893801_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3342 n_samples 596 confidence 0.001 feature_proportion 0.8257839031144977 n_clusters 32
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893801/4893801_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893821/4893821_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2241 n_samples 3773 confidence 0.1 feature_proportion 0.49448585720919075 n_clusters 3
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893821/4893821_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893881/4893881_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1846 n_samples 1013 confidence 0.1 feature_proportion 0.6080984716210515 n_clusters 28
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893881/4893881_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893904/4893904_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2654 n_samples 4620 confidence 0.01 feature_proportion 0.2144120396338403 n_clusters 8
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893904/4893904_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893940/4893940_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4478 n_samples 2194 confidence 0.05 feature_proportion 0.3588571821451187 n_clusters 25
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893940/4893940_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893958/4893958_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1190 n_samples 3421 confidence 0.025 feature_proportion 0.963171562505886 n_clusters 42
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893958/4893958_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893996/4893996_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1188 n_samples 1822 confidence 0.05 feature_proportion 0.6420086692646145 n_clusters 38
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4893996/4893996_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894019/4894019_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4482 n_samples 2541 confidence 0.1 feature_proportion 0.03769907934032381 n_clusters 5
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894019/4894019_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894105/4894105_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2656 n_samples 604 confidence 0.01 feature_proportion 0.3912755203861743 n_clusters 15
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894105/4894105_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894124/4894124_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1843 n_samples 3781 confidence 0.005 feature_proportion 0.7849647760726511 n_clusters 45
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894124/4894124_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894159/4894159_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2239 n_samples 1006 confidence 0.001 feature_proportion 0.17337736339867116 n_clusters 19
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894159/4894159_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894178/4894178_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3345 n_samples 4613 confidence 0.025 feature_proportion 0.5046782367210835 n_clusters 40
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894178/4894178_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894206/4894206_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3939 n_samples 2206 confidence 0.01 feature_proportion 0.9221049165669829 n_clusters 29
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894206/4894206_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894228/4894228_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 313 n_samples 3432 confidence 0.001 feature_proportion 0.2554070595316589 n_clusters 12
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894228/4894228_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894264/4894264_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 157 n_samples 3 confidence 0.01 feature_proportion 0.813697634672746 n_clusters 10
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894264/4894264_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894281/4894281_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4096 n_samples 4365 confidence 0.05 feature_proportion 0.4900565893426537 n_clusters 27
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894281/4894281_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894319/4894319_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3501 n_samples 1323 confidence 0.005 feature_proportion 0.06347772205248475 n_clusters 44
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894319/4894319_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894345/4894345_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2082 n_samples 3065 confidence 0.25 feature_proportion 0.7378353922087699 n_clusters 24
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894345/4894345_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894439/4894439_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1375 n_samples 2151 confidence 0.1 feature_proportion 0.3447541566770524 n_clusters 47
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894439/4894439_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894491/4894491_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3125 n_samples 3463 confidence 0.001 feature_proportion 0.9567540162652731 n_clusters 18
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894491/4894491_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894544/4894544_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4950 n_samples 889 confidence 0.25 feature_proportion 0.5949695406071842 n_clusters 1
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894544/4894544_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894568/4894568_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 719 n_samples 4743 confidence 0.005 feature_proportion 0.20897056945599615 n_clusters 34
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894568/4894568_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894641/4894641_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 893 n_samples 631 confidence 0.1 feature_proportion 0.5481691353674978 n_clusters 33
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894641/4894641_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894661/4894661_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4767 n_samples 4983 confidence 0.01 feature_proportion 0.13110425058752298 n_clusters 4
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894661/4894661_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894697/4894697_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2941 n_samples 1950 confidence 0.005 feature_proportion 0.29792353469505906 n_clusters 17
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894697/4894697_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894723/4894723_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1547 n_samples 3682 confidence 0.05 feature_proportion 0.8788579602558165 n_clusters 50
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894723/4894723_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894813/4894813_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1952 n_samples 1533 confidence 0.001 feature_proportion 0.016623779920861125 n_clusters 24
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894813/4894813_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894831/4894831_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3638 n_samples 2835 confidence 0.1 feature_proportion 0.6599160123318434 n_clusters 41
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894831/4894831_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894867/4894867_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4236 n_samples 272 confidence 0.01 feature_proportion 0.7668139516822994 n_clusters 27
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894867/4894867_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894884/4894884_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 30 n_samples 4116 confidence 0.01 feature_proportion 0.41210699644126 n_clusters 7
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894884/4894884_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894924/4894924_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 498 n_samples 2445 confidence 0.025 feature_proportion 0.9688141864016652 n_clusters 11
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894924/4894924_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894945/4894945_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3767 n_samples 3174 confidence 0.25 feature_proportion 0.33342541945539417 n_clusters 32
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894945/4894945_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894979/4894979_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3170 n_samples 1225 confidence 0.1 feature_proportion 0.2200554684419185 n_clusters 39
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4894979/4894979_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895000/4895000_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2421 n_samples 4413 confidence 0.01 feature_proportion 0.582665904019028 n_clusters 22
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895000/4895000_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895031/4895031_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1702 n_samples 373 confidence 0.25 feature_proportion 0.43803785122931005 n_clusters 46
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895031/4895031_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895051/4895051_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2784 n_samples 3990 confidence 0.1 feature_proportion 0.8630366728883236 n_clusters 13
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895051/4895051_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895088/4895088_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4612 n_samples 1574 confidence 0.001 feature_proportion 0.6887403111997992 n_clusters 6
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895088/4895088_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895106/4895106_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1050 n_samples 2810 confidence 0.01 feature_proportion 0.1157398076467216 n_clusters 36
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895106/4895106_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895142/4895142_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 979 n_samples 537 confidence 0.1 feature_proportion 0.6717153992485255 n_clusters 41
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895142/4895142_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895160/4895160_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4605 n_samples 3832 confidence 0.005 feature_proportion 0.0050305695235729215 n_clusters 21
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895160/4895160_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895195/4895195_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2679 n_samples 1736 confidence 0.1 feature_proportion 0.4239362952373922 n_clusters 13
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895195/4895195_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895213/4895213_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1573 n_samples 2651 confidence 0.025 feature_proportion 0.7552507907245308 n_clusters 29
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895213/4895213_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895288/4895288_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2428 n_samples 2291 confidence 0.25 feature_proportion 0.14266556935571134 n_clusters 4
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895288/4895288_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895370/4895370_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3241 n_samples 3322 confidence 0.01 feature_proportion 0.5363416787609459 n_clusters 37
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895370/4895370_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895454/4895454_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3896 n_samples 1072 confidence 0.001 feature_proportion 0.8904492057748139 n_clusters 45
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895454/4895454_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895476/4895476_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 602 n_samples 4562 confidence 0.05 feature_proportion 0.2861261126566678 n_clusters 15
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895476/4895476_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895509/4895509_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 134 n_samples 1370 confidence 0.025 feature_proportion 0.8434119769334794 n_clusters 19
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895509/4895509_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895526/4895526_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4366 n_samples 2995 confidence 0.001 feature_proportion 0.4573956955205649 n_clusters 49
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895526/4895526_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895563/4895563_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3710 n_samples 108 confidence 0.25 feature_proportion 0.09614611289836467 n_clusters 35
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895563/4895563_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895583/4895583_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1959 n_samples 4275 confidence 0.005 feature_proportion 0.708129019137472 n_clusters 1
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895583/4895583_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895621/4895621_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1417 n_samples 785 confidence 0.025 feature_proportion 0.31403474663943054 n_clusters 26
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895621/4895621_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895652/4895652_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2836 n_samples 4834 confidence 0.005 feature_proportion 0.988409846028313 n_clusters 8
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895652/4895652_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895731/4895731_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4760 n_samples 2105 confidence 0.05 feature_proportion 0.5633062175381929 n_clusters 23
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895731/4895731_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895749/4895749_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 822 n_samples 3534 confidence 0.001 feature_proportion 0.23968200658634306 n_clusters 43
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895749/4895749_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895783/4895783_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 692 n_samples 2002 confidence 0.001 feature_proportion 0.5164827300906182 n_clusters 43
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895783/4895783_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895802/4895802_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4898 n_samples 3617 confidence 0.1 feature_proportion 0.1617930851113051 n_clusters 25
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895802/4895802_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895833/4895833_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2976 n_samples 741 confidence 0.01 feature_proportion 0.26724243513680995 n_clusters 8
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895833/4895833_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895851/4895851_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1290 n_samples 4898 confidence 0.005 feature_proportion 0.9105516208969057 n_clusters 28
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895851/4895851_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895883/4895883_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2134 n_samples 163 confidence 0.05 feature_proportion 0.04925433617085218 n_clusters 2
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895883/4895883_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895901/4895901_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3527 n_samples 4202 confidence 0.025 feature_proportion 0.6301713324990124 n_clusters 32
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895901/4895901_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895933/4895933_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4181 n_samples 1482 confidence 0.1 feature_proportion 0.7965509002674371 n_clusters 50
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895933/4895933_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895957/4895957_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 307 n_samples 2901 confidence 0.05 feature_proportion 0.3794691811092198 n_clusters 16
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4895957/4895957_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896019/4896019_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 462 n_samples 1154 confidence 0.01 feature_proportion 0.9371201688479632 n_clusters 14
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896019/4896019_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896040/4896040_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4024 n_samples 4459 confidence 0.005 feature_proportion 0.36410663798451426 n_clusters 47
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896040/4896040_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896090/4896090_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3372 n_samples 2355 confidence 0.025 feature_proportion 0.18936675288900734 n_clusters 36
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896090/4896090_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896113/4896113_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2290 n_samples 3279 confidence 0.1 feature_proportion 0.6143519523832947 n_clusters 6
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896113/4896113_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896150/4896150_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1758 n_samples 1664 confidence 0.001 feature_proportion 0.47067602347396315 n_clusters 30
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896150/4896150_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896173/4896173_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2507 n_samples 2705 confidence 0.05 feature_proportion 0.833299605332315 n_clusters 10
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896173/4896173_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896207/4896207_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4430 n_samples 444 confidence 0.025 feature_proportion 0.7184848720617593 n_clusters 21
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896207/4896207_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896229/4896229_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1161 n_samples 3944 confidence 0.005 feature_proportion 0.08310960830934346 n_clusters 38
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896229/4896229_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896266/4896266_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1124 n_samples 1047 confidence 0.005 feature_proportion 0.7130103865377605 n_clusters 23
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896266/4896266_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896287/4896287_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4379 n_samples 4588 confidence 0.01 feature_proportion 0.10880723836459219 n_clusters 44
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896287/4896287_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896371/4896371_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2553 n_samples 2307 confidence 0.025 feature_proportion 0.4642267575543374 n_clusters 27
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896371/4896371_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896392/4896392_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1779 n_samples 3307 confidence 0.25 feature_proportion 0.8580227970331907 n_clusters 9
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896392/4896392_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896419/4896419_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2341 n_samples 1792 confidence 0.25 feature_proportion 0.24649546093121172 n_clusters 34
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896419/4896419_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896436/4896436_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3409 n_samples 2596 confidence 0.1 feature_proportion 0.5779336935598404 n_clusters 1
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896436/4896436_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896516/4896516_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4002 n_samples 473 confidence 0.05 feature_proportion 0.9932745575066656 n_clusters 18
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896516/4896516_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896533/4896533_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 416 n_samples 3897 confidence 0.01 feature_proportion 0.3267134797945619 n_clusters 48
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896533/4896533_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896569/4896569_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 260 n_samples 2050 confidence 0.1 feature_proportion 0.7601174206081778 n_clusters 45
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896569/4896569_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896586/4896586_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4159 n_samples 3589 confidence 0.025 feature_proportion 0.43661310998722913 n_clusters 16
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896586/4896586_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896619/4896619_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3564 n_samples 849 confidence 0.001 feature_proportion 0.011845942273736 n_clusters 5
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896619/4896619_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896639/4896639_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2185 n_samples 4769 confidence 0.01 feature_proportion 0.6863409568648785 n_clusters 37
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896639/4896639_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896697/4896697_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1311 n_samples 134 confidence 0.005 feature_proportion 0.29295528602786364 n_clusters 12
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896697/4896697_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896719/4896719_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3023 n_samples 4249 confidence 0.25 feature_proportion 0.9050619145371019 n_clusters 29
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896719/4896719_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896777/4896777_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4847 n_samples 1354 confidence 0.025 feature_proportion 0.5412211574986577 n_clusters 40
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896777/4896777_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896821/4896821_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 655 n_samples 3010 confidence 0.1 feature_proportion 0.15532858348451556 n_clusters 20
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896821/4896821_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896848/4896848_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 801 n_samples 1417 confidence 0.01 feature_proportion 0.6192319070044905 n_clusters 22
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896848/4896848_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896868/4896868_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4714 n_samples 2966 confidence 0.25 feature_proportion 0.20203024290129543 n_clusters 39
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896868/4896868_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896902/4896902_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2887 n_samples 217 confidence 0.005 feature_proportion 0.3709353354722261 n_clusters 31
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896902/4896902_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896922/4896922_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1454 n_samples 4147 confidence 0.001 feature_proportion 0.9517324017267674 n_clusters 11
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896922/4896922_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896957/4896957_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2005 n_samples 757 confidence 0.25 feature_proportion 0.08992545694299042 n_clusters 35
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896957/4896957_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896978/4896978_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3731 n_samples 4882 confidence 0.05 feature_proportion 0.7331109055615962 n_clusters 6
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4896978/4896978_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897028/4897028_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4329 n_samples 1976 confidence 0.01 feature_proportion 0.838165759332478 n_clusters 14
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897028/4897028_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897058/4897058_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 83 n_samples 3642 confidence 0.005 feature_proportion 0.4833523623403162 n_clusters 46
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897058/4897058_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897145/4897145_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 551 n_samples 428 confidence 0.005 feature_proportion 0.9154158564917744 n_clusters 50
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897145/4897145_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897172/4897172_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3859 n_samples 3960 confidence 0.1 feature_proportion 0.2799206924084574 n_clusters 17
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897172/4897172_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897208/4897208_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3263 n_samples 1690 confidence 0.25 feature_proportion 0.16860701533965766 n_clusters 3
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897208/4897208_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897237/4897237_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2475 n_samples 2680 confidence 0.025 feature_proportion 0.5311106819957495 n_clusters 33
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897237/4897237_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897264/4897264_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1610 n_samples 2420 confidence 0.01 feature_proportion 0.3862997672595084 n_clusters 7
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897264/4897264_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897332/4897332_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2730 n_samples 3214 confidence 0.25 feature_proportion 0.8111612444836647 n_clusters 28
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897332/4897332_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897372/4897372_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4558 n_samples 1100 confidence 0.005 feature_proportion 0.6350531757827849 n_clusters 42
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897372/4897372_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897391/4897391_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 957 n_samples 4514 confidence 0.001 feature_proportion 0.0619159375205636 n_clusters 24
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897391/4897391_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897452/4897452_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1082 n_samples 2260 confidence 0.025 feature_proportion 0.7446659783590585 n_clusters 2
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897452/4897452_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897474/4897474_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4668 n_samples 3377 confidence 0.05 feature_proportion 0.07808806626871229 n_clusters 34
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897474/4897474_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897516/4897516_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2743 n_samples 941 confidence 0.01 feature_proportion 0.49493843262642623 n_clusters 48
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897516/4897516_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897538/4897538_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1676 n_samples 4678 confidence 0.1 feature_proportion 0.8263592360224575 n_clusters 19
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897538/4897538_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897580/4897580_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2364 n_samples 577 confidence 0.025 feature_proportion 0.21383480505086483 n_clusters 43
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897580/4897580_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897605/4897605_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3139 n_samples 3806 confidence 0.05 feature_proportion 0.6076477978788316 n_clusters 23
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897605/4897605_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897648/4897648_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3794 n_samples 1838 confidence 0.05 feature_proportion 0.9635679464936256 n_clusters 9
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897648/4897648_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897671/4897671_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 539 n_samples 2525 confidence 0.005 feature_proportion 0.3593821085821837 n_clusters 26
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897671/4897671_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897714/4897714_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 71 n_samples 915 confidence 0.05 feature_proportion 0.7917806247062981 n_clusters 30
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897714/4897714_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897741/4897741_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4263 n_samples 4718 confidence 0.25 feature_proportion 0.40590155388601123 n_clusters 12
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897741/4897741_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897781/4897781_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3607 n_samples 2135 confidence 0.01 feature_proportion 0.04256523334048688 n_clusters 20
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897781/4897781_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897803/4897803_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1895 n_samples 3479 confidence 0.005 feature_proportion 0.6546850081309676 n_clusters 41
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897803/4897803_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897848/4897848_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1520 n_samples 1269 confidence 0.25 feature_proportion 0.26028701415285466 n_clusters 15
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897848/4897848_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897869/4897869_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2900 n_samples 3121 confidence 0.005 feature_proportion 0.934768406579271 n_clusters 45
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897869/4897869_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897918/4897918_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4824 n_samples 68 confidence 0.001 feature_proportion 0.5115069342087954 n_clusters 37
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897918/4897918_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897942/4897942_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 925 n_samples 4300 confidence 0.025 feature_proportion 0.18798959627747536 n_clusters 4
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897942/4897942_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897988/4897988_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 746 n_samples 288 confidence 0.25 feature_proportion 0.5894950773902238 n_clusters 6
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4897988/4897988_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898017/4898017_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4991 n_samples 4101 confidence 0.001 feature_proportion 0.23466817720420657 n_clusters 36
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898017/4898017_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898084/4898084_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3069 n_samples 1507 confidence 0.05 feature_proportion 0.33830489819310605 n_clusters 47
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898084/4898084_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898151/4898151_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1343 n_samples 2861 confidence 0.01 feature_proportion 0.9814772005304694 n_clusters 14
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898151/4898151_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898227/4898227_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2041 n_samples 1886 confidence 0.001 feature_proportion 0.12060643753036857 n_clusters 39
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898227/4898227_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898250/4898250_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3474 n_samples 3747 confidence 0.1 feature_proportion 0.7014171259496361 n_clusters 21
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898250/4898250_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898293/4898293_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4127 n_samples 686 confidence 0.025 feature_proportion 0.8698520456384867 n_clusters 10
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898293/4898293_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898318/4898318_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 214 n_samples 4928 confidence 0.001 feature_proportion 0.4526634088456631 n_clusters 31
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898318/4898318_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898361/4898361_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 370 n_samples 1638 confidence 0.1 feature_proportion 0.8856714146006852 n_clusters 28
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898361/4898361_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898382/4898382_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3970 n_samples 2745 confidence 0.005 feature_proportion 0.3125510107167065 n_clusters 8
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898382/4898382_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898428/4898428_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3318 n_samples 318 confidence 0.025 feature_proportion 0.13596896206587553 n_clusters 25
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898428/4898428_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898447/4898447_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2198 n_samples 4045 confidence 0.001 feature_proportion 0.5608478685226291 n_clusters 42
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898447/4898447_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898523/4898523_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1811 n_samples 1209 confidence 0.05 feature_proportion 0.4169883638415486 n_clusters 17
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898523/4898523_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898567/4898567_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2599 n_samples 4428 confidence 0.001 feature_proportion 0.7794750771485269 n_clusters 49
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898567/4898567_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898606/4898606_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4523 n_samples 2471 confidence 0.25 feature_proportion 0.6667470743656159 n_clusters 32
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898606/4898606_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898675/4898675_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1215 n_samples 3148 confidence 0.01 feature_proportion 0.031234600020572545 n_clusters 3
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898675/4898675_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898714/4898714_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1246 n_samples 97 confidence 0.025 feature_proportion 0.48615810536965726 n_clusters 8
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898714/4898714_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898735/4898735_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4500 n_samples 4290 confidence 0.001 feature_proportion 0.8175961223635823 n_clusters 29
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898735/4898735_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898824/4898824_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2598 n_samples 1396 confidence 0.25 feature_proportion 0.7339370011817664 n_clusters 42
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898824/4898824_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898845/4898845_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1824 n_samples 2974 confidence 0.01 feature_proportion 0.06737610936164856 n_clusters 25
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898845/4898845_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898886/4898886_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2219 n_samples 2086 confidence 0.025 feature_proportion 0.9528555694706738 n_clusters 49
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898886/4898886_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898908/4898908_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3285 n_samples 3548 confidence 0.05 feature_proportion 0.34865260718949137 n_clusters 16
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898908/4898908_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898944/4898944_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3959 n_samples 808 confidence 0.1 feature_proportion 0.20507214125059545 n_clusters 2
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898944/4898944_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898963/4898963_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 373 n_samples 4806 confidence 0.25 feature_proportion 0.5988679650947452 n_clusters 33
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4898963/4898963_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899030/4899030_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 216 n_samples 1750 confidence 0.025 feature_proportion 0.03380066228844226 n_clusters 36
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899030/4899030_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899050/4899050_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4114 n_samples 2633 confidence 0.01 feature_proportion 0.6459070900343359 n_clusters 7
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899050/4899050_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899090/4899090_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3442 n_samples 509 confidence 0.005 feature_proportion 0.7810663181245326 n_clusters 14
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899090/4899090_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899111/4899111_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2063 n_samples 3855 confidence 0.1 feature_proportion 0.39517397461645304 n_clusters 47
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899111/4899111_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899149/4899149_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1355 n_samples 1088 confidence 0.05 feature_proportion 0.5007798419762403 n_clusters 21
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899149/4899149_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899169/4899169_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3066 n_samples 4551 confidence 0.001 feature_proportion 0.1772757618613541 n_clusters 38
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899169/4899169_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899208/4899208_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4970 n_samples 2270 confidence 0.001 feature_proportion 0.2515085792765021 n_clusters 31
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899208/4899208_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899226/4899226_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 778 n_samples 3348 confidence 0.01 feature_proportion 0.9260033931042999 n_clusters 11
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899226/4899226_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899270/4899270_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 913 n_samples 2383 confidence 0.1 feature_proportion 0.3295269429180771 n_clusters 13
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899270/4899270_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899291/4899291_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4827 n_samples 3256 confidence 0.05 feature_proportion 0.972712666656822 n_clusters 30
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899291/4899291_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899339/4899339_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2921 n_samples 1141 confidence 0.005 feature_proportion 0.578767505556345 n_clusters 40
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899339/4899339_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899366/4899366_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1487 n_samples 4477 confidence 0.025 feature_proportion 0.22395386318676175 n_clusters 21
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899366/4899366_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899420/4899420_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1893 n_samples 464 confidence 0.01 feature_proportion 0.859138218658045 n_clusters 44
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899420/4899420_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899481/4899481_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3620 n_samples 3918 confidence 0.25 feature_proportion 0.4419363091774285 n_clusters 15
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899481/4899481_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899516/4899516_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4294 n_samples 1648 confidence 0.05 feature_proportion 0.11184138687700033 n_clusters 4
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899516/4899516_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899542/4899542_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 48 n_samples 2716 confidence 0.1 feature_proportion 0.6926387282516807 n_clusters 37
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899542/4899542_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899579/4899579_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 518 n_samples 716 confidence 0.001 feature_proportion 0.127205826099962 n_clusters 35
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899579/4899579_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899599/4899599_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3826 n_samples 4919 confidence 0.025 feature_proportion 0.5520675635728985 n_clusters 2
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899599/4899599_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899643/4899643_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3150 n_samples 2013 confidence 0.1 feature_proportion 0.8749595097433776 n_clusters 18
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899643/4899643_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899667/4899667_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2362 n_samples 3601 confidence 0.25 feature_proportion 0.30182198148965833 n_clusters 49
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899667/4899667_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899749/4899749_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1644 n_samples 1459 confidence 0.25 feature_proportion 0.6560176250226796 n_clusters 22
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899749/4899749_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899775/4899775_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2765 n_samples 2929 confidence 0.025 feature_proportion 0.020522170947864654 n_clusters 43
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4899775/4899775_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900328/4900328_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4670 n_samples 181 confidence 0.005 feature_proportion 0.4082085087504238 n_clusters 26
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900328/4900328_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900352/4900352_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1069 n_samples 4189 confidence 0.05 feature_proportion 0.7707124356552959 n_clusters 9
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900352/4900352_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900396/4900396_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 959 n_samples 1305 confidence 0.01 feature_proportion 0.45349721154756845 n_clusters 18
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900396/4900396_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900420/4900420_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4545 n_samples 3079 confidence 0.005 feature_proportion 0.8473104646243155 n_clusters 50
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900420/4900420_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900468/4900468_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2699 n_samples 26 confidence 0.05 feature_proportion 0.7042306281104684 n_clusters 33
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900468/4900468_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900492/4900492_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1632 n_samples 4336 confidence 0.001 feature_proportion 0.10004450020752848 n_clusters 3
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900492/4900492_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900545/4900545_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2486 n_samples 878 confidence 0.25 feature_proportion 0.9845113992337138 n_clusters 27
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900545/4900545_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900580/4900580_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3260 n_samples 4759 confidence 0.001 feature_proportion 0.3179331971518695 n_clusters 7
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900580/4900580_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900633/4900633_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3838 n_samples 2176 confidence 0.025 feature_proportion 0.23578357838094235 n_clusters 25
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900633/4900633_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900659/4900659_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 584 n_samples 3442 confidence 0.005 feature_proportion 0.5672046420257538 n_clusters 41
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900659/4900659_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900704/4900704_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 115 n_samples 619 confidence 0.25 feature_proportion 0.00113215247169137 n_clusters 40
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900704/4900704_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900737/4900737_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4306 n_samples 3770 confidence 0.001 feature_proportion 0.6756138200182468 n_clusters 22
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900737/4900737_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900788/4900788_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3729 n_samples 1801 confidence 0.01 feature_proportion 0.7513523327764123 n_clusters 11
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900788/4900788_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900815/4900815_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2018 n_samples 2567 confidence 0.05 feature_proportion 0.4278347494676709 n_clusters 31
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900815/4900815_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900863/4900863_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1475 n_samples 2219 confidence 0.01 feature_proportion 0.5324432840161025 n_clusters 5
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900863/4900863_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900885/4900885_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2855 n_samples 3414 confidence 0.025 feature_proportion 0.14656396781839431 n_clusters 35
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900885/4900885_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900931/4900931_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4702 n_samples 978 confidence 0.005 feature_proportion 0.28222763240151105 n_clusters 47
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900931/4900931_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900978/4900978_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 803 n_samples 4637 confidence 0.001 feature_proportion 0.8943476823121309 n_clusters 13
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4900978/4900978_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901095/4901095_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 634 n_samples 1246 confidence 0.001 feature_proportion 0.3602081614471972 n_clusters 16
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901095/4901095_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901177/4901177_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4880 n_samples 4387 confidence 0.05 feature_proportion 0.9410186491031199 n_clusters 46
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901177/4901177_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901313/4901313_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3034 n_samples 2430 confidence 0.05 feature_proportion 0.6104535539206117 n_clusters 38
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901313/4901313_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901346/4901346_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1308 n_samples 3185 confidence 0.005 feature_proportion 0.19326514763385058 n_clusters 4
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901346/4901346_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901408/4901408_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2153 n_samples 1602 confidence 0.025 feature_proportion 0.8294011511020363 n_clusters 29
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901408/4901408_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901443/4901443_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3587 n_samples 2787 confidence 0.005 feature_proportion 0.4745744814220816 n_clusters 11
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901443/4901443_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901497/4901497_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4161 n_samples 360 confidence 0.05 feature_proportion 0.07921118753962218 n_clusters 20
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901497/4901497_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901521/4901521_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 247 n_samples 4009 confidence 0.01 feature_proportion 0.7223832891136408 n_clusters 40
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901521/4901521_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901567/4901567_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 404 n_samples 1927 confidence 0.05 feature_proportion 0.15789466062374413 n_clusters 44
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901567/4901567_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901597/4901597_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4005 n_samples 3710 confidence 0.005 feature_proportion 0.5203811582960188 n_clusters 24
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901597/4901597_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901649/4901649_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3430 n_samples 649 confidence 0.25 feature_proportion 0.9066531703844667 n_clusters 10
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901649/4901649_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901676/4901676_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2309 n_samples 4970 confidence 0.01 feature_proportion 0.27114088193140923 n_clusters 26
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901676/4901676_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901718/4901718_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1778 n_samples 246 confidence 0.1 feature_proportion 0.6262729451898486 n_clusters 1
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901718/4901718_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901748/4901748_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2566 n_samples 4137 confidence 0.01 feature_proportion 0.053152727197855715 n_clusters 33
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901748/4901748_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901794/4901794_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4410 n_samples 1544 confidence 0.1 feature_proportion 0.3755706934183836 n_clusters 48
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901794/4901794_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901819/4901819_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1102 n_samples 2819 confidence 0.25 feature_proportion 0.8004493842404335 n_clusters 18
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901819/4901819_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901864/4901864_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1144 n_samples 2115 confidence 0.001 feature_proportion 0.43271468921750783 n_clusters 47
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901864/4901864_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901893/4901893_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4437 n_samples 3505 confidence 0.25 feature_proportion 0.7640158376600593 n_clusters 14
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901893/4901893_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901938/4901938_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2534 n_samples 931 confidence 0.01 feature_proportion 0.6824425026345998 n_clusters 6
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901938/4901938_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901964/4901964_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1721 n_samples 4707 confidence 0.05 feature_proportion 0.015744400221854447 n_clusters 36
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4901964/4901964_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902098/4902098_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2283 n_samples 40 confidence 0.05 feature_proportion 0.901163516074419 n_clusters 10
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902098/4902098_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902129/4902129_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3388 n_samples 4323 confidence 0.1 feature_proportion 0.29685368077270685 n_clusters 31
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902129/4902129_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902182/4902182_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4061 n_samples 1282 confidence 0.005 feature_proportion 0.15143010694719852 n_clusters 39
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902182/4902182_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902215/4902215_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 436 n_samples 3102 confidence 0.025 feature_proportion 0.5451196377538144 n_clusters 21
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902215/4902215_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902263/4902263_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 279 n_samples 964 confidence 0.1 feature_proportion 0.104908750673756 n_clusters 25
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902263/4902263_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902295/4902295_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4217 n_samples 4650 confidence 0.001 feature_proportion 0.716908870510757 n_clusters 42
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902295/4902295_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902360/4902360_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3545 n_samples 2242 confidence 0.001 feature_proportion 0.8541244097240269 n_clusters 28
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902360/4902360_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902390/4902390_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2127 n_samples 3391 confidence 0.025 feature_proportion 0.4681251485813409 n_clusters 8
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902390/4902390_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902441/4902441_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1252 n_samples 1863 confidence 0.025 feature_proportion 0.5740352430474013 n_clusters 32
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902441/4902441_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902470/4902470_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3002 n_samples 2504 confidence 0.05 feature_proportion 0.250393907725811 n_clusters 3
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902470/4902470_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902516/4902516_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4906 n_samples 567 confidence 0.01 feature_proportion 0.3228150553070009 n_clusters 17
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902516/4902516_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902543/4902543_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 675 n_samples 3822 confidence 0.25 feature_proportion 0.9971729857120663 n_clusters 49
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902543/4902543_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902598/4902598_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 859 n_samples 336 confidence 0.05 feature_proportion 0.2760222642030567 n_clusters 48
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902598/4902598_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902623/4902623_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4734 n_samples 4032 confidence 0.025 feature_proportion 0.9193142809793353 n_clusters 19
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902623/4902623_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902670/4902670_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2828 n_samples 1615 confidence 0.005 feature_proportion 0.5272122352011501 n_clusters 2
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902670/4902670_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902699/4902699_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1434 n_samples 2773 confidence 0.1 feature_proportion 0.17250546585209667 n_clusters 34
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902699/4902699_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902743/4902743_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1986 n_samples 2482 confidence 0.005 feature_proportion 0.8072628534566612 n_clusters 9
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902743/4902743_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902770/4902770_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3673 n_samples 3132 confidence 0.001 feature_proportion 0.3901981545686722 n_clusters 26
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902770/4902770_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902816/4902816_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4348 n_samples 1183 confidence 0.25 feature_proportion 0.05801745354756713 n_clusters 43
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902816/4902816_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902844/4902844_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 141 n_samples 4449 confidence 0.05 feature_proportion 0.638951663473621 n_clusters 23
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902844/4902844_0_log.err not found
Out file /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902982/4902982_0_log.out contains potential errors:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 Luxembourg 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 610 n_samples 1492 confidence 0.25 feature_proportion 0.19813176264613866 n_clusters 20
- The string 'ACCURACY: nan' appeared. This may indicate the vanishing-gradient-problem, or a learning rate that is too high (if you are training a neural network).
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4902982/4902982_0_log.err not found
Job-Infos