Experiment overview:

Experiment parameters:

Number of evaluations

Result names and types

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trial_index,arm_name,trial_status,generation_method,generation_node,ACCURACY,RUNTIME,recent_samples_size,feature_id,batch_size,divergence,detect_batch,statistic,significance,subsets
0,0_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,137.000000000000000000000000000000,2036,11,3837,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.865809730529785159802713678801,46
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.110000000000000000555111512313,174.000000000000000000000000000000,2744,25,1912,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.424535144411027409727665826722,55
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.160000000000000003330669073875,111.000000000000000000000000000000,3795,0,2514,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.611936304615810500173722630279,100
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.119999999999999995559107901499,306.000000000000000000000000000000,744,14,724,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.179462228976190102391896630252,1
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,209.000000000000000000000000000000,131,4,1333,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.711495853889733576025378170016,84
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,163.000000000000000000000000000000,4433,18,4406,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.029049696257337928595454457081,17
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,148.000000000000000000000000000000,3376,7,18,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.964448091138154217638600584905,37
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,140.000000000000000000000000000000,1417,20,3229,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.275150638988241547089330651943,64
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,144.000000000000000000000000000000,1673,1,479,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.669270227186381849726615200780,76
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,144.000000000000000000000000000000,3475,15,3696,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.102757855849340565268512648345,25
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.119999999999999995559107901499,178.000000000000000000000000000000,4998,12,1804,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.913368176333606229810868626373,29
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.209999999999999992228438827624,103.000000000000000000000000000000,540,26,4882,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.357606488781049836056524782180,72
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,187.000000000000000000000000000000,1156,8,2985,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.753369416972622274464299607644,39
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.110000000000000000555111512313,219.000000000000000000000000000000,4363,22,1199,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.443711830455809808082534573259,62
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,139.000000000000000000000000000000,2840,6,4299,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.506294459721073453195572255936,91
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,150.000000000000000000000000000000,2288,19,2378,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.191733845669776192810473958161,10
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,176.000000000000000000000000000000,2361,5,3454,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.404972525225952284522179525084,91
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,136.000000000000000000000000000000,3058,19,418,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.838895667932927580068280803971,10
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.170000000000000012212453270877,142.000000000000000000000000000000,4115,9,4767,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.152985974537208663237564110204,43
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,201.000000000000000000000000000000,1073,23,1597,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.591814048312604423784932805574,58
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,133.000000000000000000000000000000,437,11,948,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.047938468147069215885558435275,29
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,159.000000000000000000000000000000,4728,25,2915,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.739692897429689799615459833149,72
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,186.000000000000000000000000000000,3676,2,2273,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.302780438710004096147798691163,81
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.110000000000000000555111512313,185.000000000000000000000000000000,1728,16,4100,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.983782280674204256953885305848,20
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,133.000000000000000000000000000000,1353,7,2115,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.067784227780997755030689688738,32
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.110000000000000000555111512313,176.000000000000000000000000000000,3145,21,3937,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.625970539825037142200869766384,69
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.160000000000000003330669073875,300.000000000000000000000000000000,4673,3,799,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.313891832880675791805913377175,86
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.119999999999999995559107901499,178.000000000000000000000000000000,225,17,2761,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.878931342976167817582222596684,15
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.149999999999999994448884876874,142.000000000000000000000000000000,855,1,4618,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.479351691683754299599939940890,95
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,140.000000000000000000000000000000,4054,15,1443,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.795393740314990327355815225019,6
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,107.000000000000000000000000000000,4912,26,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.347735583175847018377879749096,90
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,174.000000000000000000000000000000,3474,8,4943,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.370284197786473201485790696097,89
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,115.000000000000000000000000000000,1,26,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.343883583797504721601967503375,99
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,87.000000000000000000000000000000,1567,26,4648,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.414272003248824294274754720391,41
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,116.000000000000000000000000000000,78,26,4707,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.448324259664915902856563434398,100
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,93.000000000000000000000000000000,1,26,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.319240731783105635699371305236,87
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,138.000000000000000000000000000000,3622,20,4983,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.392945178469647826702271231625,65
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,176.000000000000000000000000000000,415,4,4465,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.369011719433316398575328776133,47
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,118.000000000000000000000000000000,4707,26,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.289899793210621703476448374204,100
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,94.000000000000000000000000000000,233,26,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.322467096185594659374373804894,63
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,106.000000000000000000000000000000,151,26,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.253545080562552538339105012710,100
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,166.000000000000000000000000000000,180,12,4999,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.352828801057586571854329804410,97
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,121.000000000000000000000000000000,815,26,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.412521903415280166704803832545,100
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,99.000000000000000000000000000000,1,0,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.291167064644084483404640195658,100
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,105.000000000000000000000000000000,1,26,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.394936303190179804900594717765,77
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,150.000000000000000000000000000000,1254,3,4904,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.453803835685146428335912105467,68
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,65.000000000000000000000000000000,22,0,4965,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.350494788237622534321502598686,32
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,88.000000000000000000000000000000,4543,26,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.311331345868831377288188377861,96
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,115.000000000000000000000000000000,1,26,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.388821208375676075075233484313,100
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,94.000000000000000000000000000000,3709,26,4782,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.381385453387375117362267928911,15
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,203.000000000000000000000000000000,834,25,4912,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.432879237046687181944548683532,2
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,147.000000000000000000000000000000,1899,15,4984,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.375151933037439933027457072967,64
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,94.000000000000000000000000000000,2746,26,4831,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.343765158637252321582877812034,46
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,92.000000000000000000000000000000,207,26,4816,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.390122287453535943058113844017,35
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,122.000000000000000000000000000000,5000,26,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.393756830336541852055631807161,100
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,92.000000000000000000000000000000,48,26,4796,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.367615416234611080970040575266,64
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,92.000000000000000000000000000000,4887,26,4974,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.417287215709805536789644975215,59
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,118.000000000000000000000000000000,1,26,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.303105695220794668642838587402,100
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,108.000000000000000000000000000000,56,26,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.481762093657708001526174257378,100
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,100.000000000000000000000000000000,672,0,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.419690337986778183587688317857,100
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,188.000000000000000000000000000000,5000,26,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,3
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,90.000000000000000000000000000000,5000,26,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,61
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,118.000000000000000000000000000000,5000,26,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,105.000000000000000000000000000000,1045,26,580,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.518118312784720425057116699463,5
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,159.000000000000000000000000000000,3805,26,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,71
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,105.000000000000000000000000000000,609,26,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,110.000000000000000000000000000000,1129,26,2610,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,97
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,79.000000000000000000000000000000,4603,0,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,108.000000000000000000000000000000,3898,26,80,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,53.000000000000000000000000000000,1562,0,4277,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,41
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,101.000000000000000000000000000000,5000,26,3824,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,67
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,154.000000000000000000000000000000,5000,26,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,92.000000000000000000000000000000,5000,26,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,61
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,61.000000000000000000000000000000,2403,0,4569,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,9
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,131.000000000000000000000000000000,4561,26,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,168.000000000000000000000000000000,5000,26,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,76
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,103.000000000000000000000000000000,2510,0,785,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,253.000000000000000000000000000000,5000,26,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,551.000000000000000000000000000000,362,26,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,20
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,134.000000000000000000000000000000,775,10,4752,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,19
80,80_0,FAILED,BoTorch,GenerationStep_1,,,693,26,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,67
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,269.000000000000000000000000000000,3972,26,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,77
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,270.000000000000000000000000000000,1,26,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,116.000000000000000000000000000000,5000,26,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,58
84,84_0,FAILED,BoTorch,GenerationStep_1,,,1,26,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,136.000000000000000000000000000000,5000,26,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,79.000000000000000000000000000000,3088,0,4666,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,3
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,164.000000000000000000000000000000,5000,26,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,108.000000000000000000000000000000,5000,26,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,358.000000000000000000000000000000,750,26,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,17
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,62.000000000000000000000000000000,4099,0,4186,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,23
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,84.000000000000000000000000000000,233,26,4657,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,61
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,61.000000000000000000000000000000,4434,0,2726,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.724040838933210029182419020799,4
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,69.000000000000000000000000000000,3727,0,3627,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,64
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,131.000000000000000000000000000000,1746,26,4535,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.136615739708455641299167382385,100
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,57.000000000000000000000000000000,2035,0,3909,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,8
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,78.000000000000000000000000000000,3163,26,2709,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,149.000000000000000000000000000000,305,26,2461,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,84.000000000000000000000000000000,1732,26,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,9
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,67.000000000000000000000000000000,3182,0,2709,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.549761471838296378322752389067,42
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,159.000000000000000000000000000000,4946,1,4894,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.837512392176370190632894718874,17
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,104.000000000000000000000000000000,1376,0,3612,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.847800013682909803236498191836,1
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,66.000000000000000000000000000000,5000,0,2957,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.445759005207301772788497373767,51
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,134.000000000000000000000000000000,3514,1,4341,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,8
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,84.000000000000000000000000000000,3791,26,4554,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,86.000000000000000000000000000000,4280,0,4892,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,79
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,106.000000000000000000000000000000,1853,0,2596,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,65.000000000000000000000000000000,2022,0,2452,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.249543658657743472328860434573,1
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,64.000000000000000000000000000000,506,0,2286,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,74
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,70.000000000000000000000000000000,4385,0,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,64
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,62.000000000000000000000000000000,966,0,4599,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,128.000000000000000000000000000000,4362,1,3091,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,97
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,114.000000000000000000000000000000,1684,1,4009,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.083431348095294594058302095618,55
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,77.000000000000000000000000000000,1,0,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,82
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,143.000000000000000000000000000000,2651,0,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,32
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,138.000000000000000000000000000000,4312,1,3977,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.419070973357139664461357142500,38
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,108.000000000000000000000000000000,2571,0,2344,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,154.000000000000000000000000000000,2663,25,4476,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,91
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,70.000000000000000000000000000000,1477,0,3048,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,46
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,263.000000000000000000000000000000,1466,1,1785,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.885312094243243419278144301643,1
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,58.000000000000000000000000000000,2410,0,3785,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.537013498291809443507816013152,38
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,64.000000000000000000000000000000,3610,0,4569,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.685078396891933616430492293148,34
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,70.000000000000000000000000000000,1506,0,2710,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.979918184894998489653517026454,8
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,237.000000000000000000000000000000,4800,0,634,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,85.000000000000000000000000000000,2748,26,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,37
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,66.000000000000000000000000000000,3556,0,2541,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,58
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,92.000000000000000000000000000000,2669,0,2228,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,62
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,84.000000000000000000000000000000,656,26,3524,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.093985249661437120227702735065,100
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,106.000000000000000000000000000000,1,0,1620,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,63.000000000000000000000000000000,895,0,4827,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,60
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,61.000000000000000000000000000000,316,0,3820,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,73
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,106.000000000000000000000000000000,1211,0,4864,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,157.000000000000000000000000000000,2809,26,2269,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,52.000000000000000000000000000000,3120,0,4282,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,55
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,115.000000000000000000000000000000,3310,26,2428,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,97.000000000000000000000000000000,1,0,558,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.986857119894620771205495657341,62
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,147.000000000000000000000000000000,1142,10,89,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,63
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,298.000000000000000000000000000000,644,0,528,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,91.000000000000000000000000000000,4009,26,1578,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
139,139_0,FAILED,BoTorch,GenerationStep_1,,,3746,0,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.488440277712447967761733025327,1
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,76.000000000000000000000000000000,1903,26,3162,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,93.000000000000000000000000000000,672,26,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,22
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,191.000000000000000000000000000000,808,10,2046,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,62
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,106.000000000000000000000000000000,289,0,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,62.000000000000000000000000000000,3038,0,2829,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,97.000000000000000000000000000000,2868,26,2791,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,59
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,91.000000000000000000000000000000,4782,0,3189,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,100.000000000000000000000000000000,2920,0,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,152.000000000000000000000000000000,659,9,2453,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,71
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,148.000000000000000000000000000000,3055,10,890,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.674586233303063220745343642193,70
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,95.000000000000000000000000000000,4511,26,3995,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,67
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,83.000000000000000000000000000000,4004,26,3369,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,30
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,59.000000000000000000000000000000,1457,0,3112,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.973848827864816524169100375730,69
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,70.000000000000000000000000000000,1370,0,3724,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.763812534999354197928767007397,38
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,52.000000000000000000000000000000,1865,0,3092,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,46
155,155_0,FAILED,BoTorch,GenerationStep_1,,,5000,26,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,74.000000000000000000000000000000,3941,26,4352,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,98.000000000000000000000000000000,2086,0,3189,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,79.000000000000000000000000000000,1,0,1108,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,179.000000000000000000000000000000,952,9,653,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,33
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,88.000000000000000000000000000000,1130,26,3586,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,41
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,63.000000000000000000000000000000,432,0,3269,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,44
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,92.000000000000000000000000000000,5000,26,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,24
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,69.000000000000000000000000000000,4433,0,3861,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,64
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,108.000000000000000000000000000000,4105,26,2888,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,58.000000000000000000000000000000,2602,0,4665,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.316790367905547265436894122104,50
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,107.000000000000000000000000000000,2272,26,3056,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,18
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,85.000000000000000000000000000000,1407,26,3284,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,164.000000000000000000000000000000,4515,9,247,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,466.000000000000000000000000000000,3156,9,686,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,90.000000000000000000000000000000,2145,26,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.749381046240219728105103058624,100
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,81.000000000000000000000000000000,4628,26,2818,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,27
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,151.000000000000000000000000000000,5000,26,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
173,173_0,FAILED,BoTorch,GenerationStep_1,,,1635,0,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,86.000000000000000000000000000000,392,26,2198,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,62
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,62.000000000000000000000000000000,3987,0,2450,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,41
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,145.000000000000000000000000000000,2376,9,4801,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,62
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,98.000000000000000000000000000000,1700,0,3626,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,103.000000000000000000000000000000,2573,26,3512,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,146.000000000000000000000000000000,5000,26,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,100.000000000000000000000000000000,1,26,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,48
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,79.000000000000000000000000000000,4657,0,3774,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.017777074486091302973900241113,59
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,192.000000000000000000000000000000,4767,9,1726,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,171.000000000000000000000000000000,4933,9,223,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
184,184_0,FAILED,BoTorch,GenerationStep_1,,,5000,0,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,87.000000000000000000000000000000,17,26,3741,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,66
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,85.000000000000000000000000000000,5000,26,4245,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
187,155_0,FAILED,BoTorch,GenerationStep_1,,,5000,26,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,157.000000000000000000000000000000,2927,9,100,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.009540946170682648372340928233,1
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,111.000000000000000000000000000000,1,26,2262,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,60.000000000000000000000000000000,4854,0,4093,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,51
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,108.000000000000000000000000000000,5000,26,1726,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,182.000000000000000000000000000000,2900,9,155,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,7
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,188.000000000000000000000000000000,4830,9,1845,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,164.000000000000000000000000000000,2881,9,72,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
195,195_0,FAILED,BoTorch,GenerationStep_1,,,403,26,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,70
196,196_0,FAILED,BoTorch,GenerationStep_1,,,1548,26,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,71
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,111.000000000000000000000000000000,586,26,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,60
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,80.000000000000000000000000000000,673,0,342,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,185.000000000000000000000000000000,4197,9,3303,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,201.000000000000000000000000000000,4260,9,1960,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,63.000000000000000000000000000000,1,0,3646,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,52
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,140.000000000000000000000000000000,635,9,1481,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,95.000000000000000000000000000000,2230,26,1042,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,54
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,105.000000000000000000000000000000,4424,26,4173,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,63
205,205_0,FAILED,BoTorch,GenerationStep_1,,,3405,0,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,33
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,265.000000000000000000000000000000,3405,9,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,85.000000000000000000000000000000,1,26,4636,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,50
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,234.000000000000000000000000000000,476,9,2754,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,91.000000000000000000000000000000,1,26,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
210,210_0,FAILED,BoTorch,GenerationStep_1,,,992,26,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,74
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,98.000000000000000000000000000000,212,26,4805,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.156441326495909360794200892997,1
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,106.000000000000000000000000000000,835,26,3157,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,72
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,79.000000000000000000000000000000,3008,0,2848,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,83.000000000000000000000000000000,1,26,4560,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.299380815838541647355697250532,100
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,153.000000000000000000000000000000,5000,0,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
216,216_0,FAILED,BoTorch,GenerationStep_1,,,3473,26,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,61
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,80.000000000000000000000000000000,1,26,3355,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,99.000000000000000000000000000000,2130,26,1113,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,73
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,119.000000000000000000000000000000,4009,26,1415,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,63
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,134.000000000000000000000000000000,5000,0,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,169.000000000000000000000000000000,1,26,2366,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,86.000000000000000000000000000000,783,26,3610,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,126.000000000000000000000000000000,1,26,1738,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,76
224,224_0,FAILED,BoTorch,GenerationStep_1,,,5000,0,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,52.000000000000000000000000000000,4092,0,4843,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,56
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,110.000000000000000000000000000000,2952,26,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
227,227_0,FAILED,BoTorch,GenerationStep_1,,,2318,26,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,76
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,130.000000000000000000000000000000,661,26,1505,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,74
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,196.000000000000000000000000000000,5000,0,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
230,230_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,62.000000000000000000000000000000,396,0,4775,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,62
231,231_0,FAILED,BoTorch,GenerationStep_1,,,5000,26,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,45
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,101.000000000000000000000000000000,3810,26,668,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,32
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,140.000000000000000000000000000000,4706,0,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,90
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,176.000000000000000000000000000000,2652,13,4714,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,98
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,113.000000000000000000000000000000,616,26,3121,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,84
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,90.000000000000000000000000000000,3755,26,793,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,33
237,237_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,140.000000000000000000000000000000,5000,0,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,49
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,64.000000000000000000000000000000,1688,0,771,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,28
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,168.000000000000000000000000000000,3867,13,4370,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,52
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,58.000000000000000000000000000000,2514,0,2140,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,36
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,91.000000000000000000000000000000,3815,26,2860,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,29
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,98.000000000000000000000000000000,4188,26,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,63
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,123.000000000000000000000000000000,1481,26,4396,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,52
244,244_0,FAILED,BoTorch,GenerationStep_1,,,1,0,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,67.000000000000000000000000000000,4214,0,2196,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,40
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,59.000000000000000000000000000000,3159,0,1512,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,43
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,88.000000000000000000000000000000,1,26,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,75.000000000000000000000000000000,280,26,3159,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,72
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,100.000000000000000000000000000000,2607,26,2158,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,46
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,64.000000000000000000000000000000,253,0,1856,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,23
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,105.000000000000000000000000000000,2970,0,661,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,60.000000000000000000000000000000,69,0,2755,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,34
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,128.000000000000000000000000000000,2971,26,2228,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
254,254_0,FAILED,BoTorch,GenerationStep_1,,,1,0,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,7
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,73.000000000000000000000000000000,476,0,1112,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,24
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,64.000000000000000000000000000000,1915,0,1512,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,41
257,257_0,FAILED,BoTorch,GenerationStep_1,,,5000,26,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,31
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,70.000000000000000000000000000000,1,0,1854,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,29
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,140.000000000000000000000000000000,295,26,1560,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,72.000000000000000000000000000000,1200,0,1384,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,22
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,101.000000000000000000000000000000,517,26,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,39
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,193.000000000000000000000000000000,1646,9,83,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,152.000000000000000000000000000000,3233,9,1883,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,22
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,85.000000000000000000000000000000,3088,26,2971,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,50
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,86.000000000000000000000000000000,480,26,4342,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,51
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,88.000000000000000000000000000000,3250,26,3035,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,76
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,108.000000000000000000000000000000,3792,26,3894,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,53
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,65.000000000000000000000000000000,4918,0,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,50
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,885.000000000000000000000000000000,2385,26,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,25
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,100.000000000000000000000000000000,1625,26,1839,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.440135093659262566223588919456,51
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,108.000000000000000000000000000000,4037,26,839,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.505701142918620227817427803529,52
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,137.000000000000000000000000000000,4628,26,1836,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.251146618741121652185199764062,1
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,91.000000000000000000000000000000,2342,26,879,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.707931762562762245671876826236,13
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,64.000000000000000000000000000000,605,0,4643,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.559000657594778682657477020257,25
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,103.000000000000000000000000000000,770,26,3250,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.576038351147251215245148614486,1
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,133.000000000000000000000000000000,5000,26,900,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.002991879387738009040548226025,91
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,103.000000000000000000000000000000,3968,26,1473,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.540458145109692034147030881286,1
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,85.000000000000000000000000000000,1116,26,1499,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.604407986471402147721221354004,22
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,134.000000000000000000000000000000,3129,26,1095,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.650619483980685697765977693052,3
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,110.000000000000000000000000000000,3790,26,2835,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.558013446046510486198144462833,92
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,110.000000000000000000000000000000,5000,26,2072,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,7
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,89.000000000000000000000000000000,4831,26,3495,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.459322745355330019911832550861,67
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,140.000000000000000000000000000000,1209,26,3349,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.509138846902150832285371961916,100
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,119.000000000000000000000000000000,4802,26,2049,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.210815934184066855472394763638,75
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,183.000000000000000000000000000000,3372,26,1967,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.478373581821903315347555007975,100
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,167.000000000000000000000000000000,1329,26,2012,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.352723063552290161393187872818,1
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,155.000000000000000000000000000000,5000,26,1354,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.255185275392329491417342524073,100
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,105.000000000000000000000000000000,4299,26,686,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.488433366879005737004604270624,1
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,281.000000000000000000000000000000,4736,26,709,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.553425254610230843432816527638,90
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,95.000000000000000000000000000000,2870,26,4897,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.621813268744106917296221581637,62
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,115.000000000000000000000000000000,49,26,2436,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.474363067445692787593714001559,1
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,197.000000000000000000000000000000,2014,26,1351,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.552948056747387006737426418113,98
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,114.000000000000000000000000000000,4931,26,1314,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.539038144673222863190176212811,24
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,85.000000000000000000000000000000,2923,26,1444,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.469749745495481818569061260860,90
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,78.000000000000000000000000000000,3517,0,1987,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.582806802661320011438306210039,60
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,134.000000000000000000000000000000,4244,0,3920,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.490657805262523727396484218843,1
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,118.000000000000000000000000000000,1,0,3174,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.141055243768124255465679084409,1
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,113.000000000000000000000000000000,1616,26,2009,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.650068994899689944766407734278,100
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,97.000000000000000000000000000000,5000,26,1082,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,16
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,83.000000000000000000000000000000,3603,26,4160,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,43
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,92.000000000000000000000000000000,658,26,2310,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.100993095976302904581700659037,44
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,81.000000000000000000000000000000,1334,26,2805,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.613492270024209473966436689807,36
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,82.000000000000000000000000000000,2935,26,2842,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.402283911332293520057845626070,17
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,88.000000000000000000000000000000,1320,26,2137,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.681771428072129204167595162289,12
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,86.000000000000000000000000000000,2903,26,2127,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.349083028064906930598709777769,17
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,139.000000000000000000000000000000,593,26,1078,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.514657256518778360998567222850,1
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,102.000000000000000000000000000000,4223,26,2743,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.719835747007732562607884574390,89
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,92.000000000000000000000000000000,3683,26,2692,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.942372044432570943328641988046,16
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,105.000000000000000000000000000000,1350,26,3646,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,64
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,94.000000000000000000000000000000,4606,26,4747,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.987996311931056414579188640346,67
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,137.000000000000000000000000000000,1175,26,301,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.469499283134912848147735076054,1
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,105.000000000000000000000000000000,3716,26,2615,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.421983070478549271431489842143,1
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,131.000000000000000000000000000000,308,26,82,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.347995777717620524693842298802,3
314,314_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,89.000000000000000000000000000000,4064,26,2794,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.491949667181984628960833560996,1
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,70.000000000000000000000000000000,1933,0,4922,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.569876797744726659722402928310,83
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,89.000000000000000000000000000000,4927,26,3184,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.603496428820492036848577299679,24
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,65.000000000000000000000000000000,1476,0,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.486773797173893518763776455671,71
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,99.000000000000000000000000000000,2088,26,3332,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.476438534836796212523779558978,11
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,93.000000000000000000000000000000,3930,26,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.624389516574074709964747853519,1
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,93.000000000000000000000000000000,4037,26,3711,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.577404773989019126645416690735,47
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,94.000000000000000000000000000000,181,26,2647,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.157993794406291077070392248061,1
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,103.000000000000000000000000000000,1669,26,2891,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.423260423296371979251517814191,85
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,94.000000000000000000000000000000,2416,0,1174,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.626036251793739006998862350883,69
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,138.000000000000000000000000000000,819,26,1471,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.152786063389144383117823622342,2
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,93.000000000000000000000000000000,2138,26,2767,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.551588177208922281202774229314,29
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,106.000000000000000000000000000000,1890,26,3565,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.364548990209708767551433084009,58
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,137.000000000000000000000000000000,2808,26,1940,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.575754991011622863084085111041,1
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,100.000000000000000000000000000000,2863,26,112,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.773165374606460065187718555535,31
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,101.000000000000000000000000000000,4073,26,4360,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.542750729521208064021209338534,53
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,88.000000000000000000000000000000,1001,26,3252,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.431406105892584046390680896366,43
331,331_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,91.000000000000000000000000000000,2652,26,1090,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.412943891607349178318742133342,40
332,332_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,86.000000000000000000000000000000,2956,26,2625,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,45
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,86.000000000000000000000000000000,4465,26,1428,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.349671792352541588311254372456,46
334,334_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,76.000000000000000000000000000000,1414,26,3534,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,27
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,90.000000000000000000000000000000,3150,26,3401,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.647224146007013168002686143154,1
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,67.000000000000000000000000000000,893,0,4597,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.851093004891069759842991970800,77
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,67.000000000000000000000000000000,1090,0,2204,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.675478465075124656635807696148,20
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,91.000000000000000000000000000000,1519,26,194,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.741453166871173130481054158736,13
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,74.000000000000000000000000000000,1521,0,2079,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.496569802889642308851847474216,31
340,340_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,97.000000000000000000000000000000,4930,26,3855,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.650007917808789748015385612234,16
341,341_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,89.000000000000000000000000000000,1571,26,1631,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.186329311973319894368827931430,42
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,85.000000000000000000000000000000,1752,26,3783,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,87.000000000000000000000000000000,4749,26,461,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.723618533197430635617308780638,39
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,89.000000000000000000000000000000,2538,26,1564,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,16
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,70.000000000000000000000000000000,816,0,4747,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.511948213109078120730544014805,46
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,73.000000000000000000000000000000,979,0,2570,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.045774259574519304827333598951,51
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,106.000000000000000000000000000000,3904,0,3922,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.350633751108568203491699932783,1
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,67.000000000000000000000000000000,668,0,2869,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.966569158951662399381632440054,1
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,93.000000000000000000000000000000,3538,26,3614,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.644917995946955091568497664412,23
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,169.000000000000000000000000000000,3781,26,4015,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.225735858244576814701787270678,1
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,91.000000000000000000000000000000,2580,26,1649,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,8
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,75.000000000000000000000000000000,2835,0,898,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.614063852399922116553909745562,22
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,59.000000000000000000000000000000,1983,0,2883,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.827862624984343153933252779098,55
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,59.000000000000000000000000000000,4053,0,3096,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.080360245270772734382802582331,26
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,84.000000000000000000000000000000,4772,26,1663,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.335060647003918299358105059582,65
356,356_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,102.000000000000000000000000000000,1666,0,2215,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,73
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,104.000000000000000000000000000000,4873,0,1457,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.505406919697360845766809234192,1
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,63.000000000000000000000000000000,290,0,4128,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.269751545560163674686293688865,80
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,88.000000000000000000000000000000,4899,26,3555,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.355130108466506444475641046665,36
360,360_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,84.000000000000000000000000000000,4176,26,3798,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.399627730602796049641511899608,47
361,361_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,99.000000000000000000000000000000,1783,26,338,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.831090665519949367556762354070,33
362,362_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,60.000000000000000000000000000000,3633,0,4584,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.812698957245690190021036869439,44
363,363_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,88.000000000000000000000000000000,406,26,4718,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.597526283587979767375486517267,50
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,79.000000000000000000000000000000,648,26,912,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,36
365,365_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,66.000000000000000000000000000000,4955,0,2780,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.176485322607880662504342694774,81
366,366_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,70.000000000000000000000000000000,2327,0,1241,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.687854797130903139468216522801,1
367,367_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,58.000000000000000000000000000000,2607,0,2606,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.727357100361934683085962660698,52
368,368_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,105.000000000000000000000000000000,1352,26,366,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.523983124014557710701467385661,29
369,369_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,89.000000000000000000000000000000,4679,26,2567,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.645748169490744761134237705846,47
370,370_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,91.000000000000000000000000000000,440,26,755,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.289687282099013454494951247398,34
371,371_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,88.000000000000000000000000000000,2826,26,1357,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.294706832134015994650866332449,37
372,372_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,146.000000000000000000000000000000,1948,26,680,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.502110263179288307533454371878,1
373,373_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,66.000000000000000000000000000000,1727,0,4496,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.983675042962290469006347848335,51
374,374_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,61.000000000000000000000000000000,39,0,2214,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.601455728912246190276391644147,25
375,375_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,55.000000000000000000000000000000,2888,0,2610,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.744067914141880559775188430649,97
376,376_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,73.000000000000000000000000000000,130,0,613,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.623825981875421597955266861391,23
377,377_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,72.000000000000000000000000000000,1838,0,4668,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.614131422054476461269700848788,1
378,378_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,363.000000000000000000000000000000,3507,9,343,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,72.000000000000000000000000000000,1402,0,3415,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.503519073729750243906266859995,69
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,63.000000000000000000000000000000,4680,0,4515,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.189824187788277948252257942841,48
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,51.000000000000000000000000000000,3095,0,2260,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.745384389152798476629868673626,50
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,61.000000000000000000000000000000,3993,0,2389,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.100243074815186281045775729126,74
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,101.000000000000000000000000000000,4074,0,2509,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.519704670035759153101651008910,100
384,384_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,138.000000000000000000000000000000,5000,26,1656,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,231.000000000000000000000000000000,4615,9,996,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,91
386,386_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,89.000000000000000000000000000000,3493,26,1700,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.399975127519876405557397447410,48
387,387_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,91.000000000000000000000000000000,77,26,4154,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.635426041747246483915034787060,52
388,388_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,101.000000000000000000000000000000,4788,26,1804,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.623043488554722801886498473323,37
389,389_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,85.000000000000000000000000000000,2579,26,4100,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
390,390_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,97.000000000000000000000000000000,3060,26,368,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.102940084852167892948138216980,38
391,391_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,95.000000000000000000000000000000,2750,0,4964,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.479725829720103469355763081694,95
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,106.000000000000000000000000000000,3837,0,2769,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
393,393_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,161.000000000000000000000000000000,2310,9,1250,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.233559717954253898142269463278,22
394,394_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,82.000000000000000000000000000000,4630,26,4181,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.324930181432547593445292477554,1
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,87.000000000000000000000000000000,2111,26,4804,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.286461392501516753927859326723,100
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,86.000000000000000000000000000000,2801,26,415,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.586338946074864475477284031513,80
397,397_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,94.000000000000000000000000000000,4990,0,1868,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.159087011104437375808018373391,6
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,157.000000000000000000000000000000,4324,26,2547,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
399,399_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,90.000000000000000000000000000000,860,26,4483,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.800787656829552441095643189328,27
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,276.000000000000000000000000000000,3021,9,2336,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,64.000000000000000000000000000000,4617,0,4220,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.755879585078738758241456707765,61
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,67.000000000000000000000000000000,4904,0,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,142.000000000000000000000000000000,4366,26,126,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.038464979580186103857997181876,1
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,93.000000000000000000000000000000,3672,0,2952,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.196811988409021781931684813571,100
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,78.000000000000000000000000000000,2838,0,1288,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.150427033316776648241841485287,50
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,190.000000000000000000000000000000,3912,9,3661,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.766419148738572753032372020243,98
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,68.000000000000000000000000000000,4645,0,4541,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.873225668987532177567345570424,27
408,408_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,102.000000000000000000000000000000,3500,0,1767,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,93.000000000000000000000000000000,266,26,520,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.512163473314210082598663120734,100
410,410_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,157.000000000000000000000000000000,2728,9,2979,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.496378783414224311609785900146,74
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,67.000000000000000000000000000000,483,0,917,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.311441855975494841235473586494,30
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,158.000000000000000000000000000000,999,9,3458,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.645029873525469255035602600401,29
413,413_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,106.000000000000000000000000000000,104,0,3985,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
414,414_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,172.000000000000000000000000000000,541,9,1841,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,61
415,415_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,167.000000000000000000000000000000,3242,9,1652,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.486194159583467844232274046590,44
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,110.000000000000000000000000000000,600,0,3664,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.717063350520546372024455195060,1
417,417_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,188.000000000000000000000000000000,2470,9,3200,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,12
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,168.000000000000000000000000000000,3871,9,3983,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.359259017400073377146441089280,26
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,90.000000000000000000000000000000,3670,26,3128,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
420,420_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,75.000000000000000000000000000000,1444,0,641,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.577756150921913014251174445235,1
421,421_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,86.000000000000000000000000000000,4580,26,2755,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.249765716221009126396523924996,44
422,422_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,68.000000000000000000000000000000,4623,0,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.330912893080332892736805661116,34
423,423_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,60.000000000000000000000000000000,1926,0,4022,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.282155331653982877071484836051,63
424,424_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,78.000000000000000000000000000000,1124,26,4087,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,57
425,425_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,87.000000000000000000000000000000,4500,0,1696,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.323612041276209461138080314413,72
426,426_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,83.000000000000000000000000000000,742,26,4976,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.606680539085862724490993969084,77
427,427_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,66.000000000000000000000000000000,482,0,215,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.404894403766667354549468882396,86
428,428_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,121.000000000000000000000000000000,1349,0,900,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.640940962665808244835830009833,1
429,429_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,105.000000000000000000000000000000,4416,0,2297,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
430,430_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,61.000000000000000000000000000000,2852,0,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.756006623453773007881295598054,19
431,431_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,84.000000000000000000000000000000,4103,26,3017,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.303042974611504312143495099008,9
432,432_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,255.000000000000000000000000000000,4291,9,4926,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
433,433_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,65.000000000000000000000000000000,2309,0,1787,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.423783718446587409633963261513,37
434,434_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,66.000000000000000000000000000000,627,0,707,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.303934956204551076641706686132,100
435,435_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,59.000000000000000000000000000000,1749,0,2831,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.270153329289304189320120030970,45
436,436_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,227.000000000000000000000000000000,582,3,3615,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
437,437_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,141.000000000000000000000000000000,3376,26,4717,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.728120007897602117274971078587,100
438,438_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,90.000000000000000000000000000000,3696,0,1121,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,76
439,439_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,97.000000000000000000000000000000,402,26,2738,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.318540410292402653702481529763,58
440,440_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,352.000000000000000000000000000000,1892,0,579,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.262870268576660126580435417054,100
441,441_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,162.000000000000000000000000000000,3271,9,4991,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.307270322296946341023016202598,32
442,442_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,252.000000000000000000000000000000,1990,9,4117,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
443,443_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,101.000000000000000000000000000000,4568,0,15,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.446782745135383574375254056577,18
444,444_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,131.000000000000000000000000000000,2988,1,65,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.370057366955301225708296897210,76
445,445_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,125.000000000000000000000000000000,739,3,1267,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
446,446_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,136.000000000000000000000000000000,300,26,2461,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
447,447_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,231.000000000000000000000000000000,1969,3,3336,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
448,448_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,64.000000000000000000000000000000,1638,0,2278,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.283322180644092147527857150635,48
449,449_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,96.000000000000000000000000000000,1500,26,1911,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,44
450,450_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,71.000000000000000000000000000000,1478,0,677,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.251803491813543944832787246924,56
451,451_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,107.000000000000000000000000000000,1754,26,1315,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,33
452,452_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,65.000000000000000000000000000000,4634,0,1522,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.214520821475120970767136441282,89
453,453_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,90.000000000000000000000000000000,3686,26,3529,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,48
454,454_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,70.000000000000000000000000000000,2403,0,1656,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,46
455,455_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,82.000000000000000000000000000000,4372,26,813,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.744814034701245408776060230593,1
456,456_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,93.000000000000000000000000000000,4772,26,2015,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.172334435599572566299997333772,1
457,457_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,96.000000000000000000000000000000,3880,26,3975,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.821060088277676070056543267128,77
458,458_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,91.000000000000000000000000000000,274,26,3424,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,38
459,459_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,75.000000000000000000000000000000,111,0,1240,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.547001924074236089978739983053,96
460,460_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,148.000000000000000000000000000000,1733,26,3196,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
461,461_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,65.000000000000000000000000000000,4604,0,680,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.070898871258504025938407266949,13
462,462_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,252.000000000000000000000000000000,4223,9,4916,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.975541750785524519606894955359,1
463,463_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,83.000000000000000000000000000000,4400,26,794,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.751817284135657626364945826936,23
464,464_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,64.000000000000000000000000000000,797,0,1294,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.010574962740094381863364958463,68
465,465_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,95.000000000000000000000000000000,4612,26,4649,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
466,466_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,78.000000000000000000000000000000,1615,26,1203,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,74
467,467_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,67.000000000000000000000000000000,1386,0,1630,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.429181339601319600252082864245,24
468,468_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,67.000000000000000000000000000000,1059,0,1092,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.038249485188578534466952163484,47
469,469_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,151.000000000000000000000000000000,5000,26,1920,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
470,470_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,105.000000000000000000000000000000,4564,0,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.306083147629862217797835910460,1
471,471_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,122.000000000000000000000000000000,781,26,3847,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
472,472_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,280.000000000000000000000000000000,134,9,4552,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.974138373296716930660466005065,1
473,473_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,67.000000000000000000000000000000,678,0,1177,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.323419042221086749933078863251,83
474,474_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,273.000000000000000000000000000000,3306,13,948,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
475,475_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,52.000000000000000000000000000000,1936,0,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.744611745181732231912974384613,1
476,476_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,106.000000000000000000000000000000,1672,0,761,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
477,477_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,190.000000000000000000000000000000,2407,9,4360,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
478,478_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,99.000000000000000000000000000000,141,26,2556,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
479,479_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,65.000000000000000000000000000000,256,0,372,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.240144042199244428514859350798,33
480,480_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,89.000000000000000000000000000000,677,26,2677,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.729499529581393191257632224733,10
481,481_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,138.000000000000000000000000000000,4097,26,3132,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.755821319939885105654298058653,1
482,482_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,69.000000000000000000000000000000,2522,0,996,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.329631818055027392411204800737,53
483,483_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,91.000000000000000000000000000000,3293,26,1015,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.197075753151410015817646126379,35
484,484_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,93.000000000000000000000000000000,4495,26,3803,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.194543593682409809986211257637,51
485,485_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,65.000000000000000000000000000000,3784,0,1262,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.241901525254674093501350284896,1
486,486_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,65.000000000000000000000000000000,4921,0,1807,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.424155177920243653399978711604,1
487,487_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,81.000000000000000000000000000000,3222,26,2667,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,15
488,488_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,150.000000000000000000000000000000,4975,26,342,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.754763277233588381065487737942,1
489,489_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,61.000000000000000000000000000000,289,0,4438,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.660817506999704984416155184590,55
490,490_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,95.000000000000000000000000000000,3466,26,3676,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,14
491,491_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,167.000000000000000000000000000000,4932,0,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.409097732701197258631253816930,1
492,492_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,64.000000000000000000000000000000,2768,0,1819,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,46
493,493_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,58.000000000000000000000000000000,2909,0,3374,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.231849968562504032965065903227,100
494,494_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,105.000000000000000000000000000000,3679,0,2475,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.562645426392526237791003040911,3
495,495_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,104.000000000000000000000000000000,3300,0,1968,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
496,496_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,93.000000000000000000000000000000,3918,26,3301,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,71
497,497_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,52.000000000000000000000000000000,1416,0,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.835763497241975961138393813599,100
498,498_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,138.000000000000000000000000000000,787,26,3730,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.750360670221699166404505376704,1
499,499_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,86.000000000000000000000000000000,4508,26,1504,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,54
500,500_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,64.000000000000000000000000000000,464,0,2688,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.497230189511954245862312973259,1
501,501_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,60.000000000000000000000000000000,1040,0,3377,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.064080853099262286010073808029,49
502,502_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,85.000000000000000000000000000000,3059,26,2358,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,98
503,503_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,104.000000000000000000000000000000,4227,26,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.654333389553516941994359967794,42
504,504_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,84.000000000000000000000000000000,3451,26,2192,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,34
505,505_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,75.000000000000000000000000000000,1677,26,1212,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,43
506,506_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,61.000000000000000000000000000000,2965,0,1878,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.070902374216893271352546435082,1
507,507_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,60.000000000000000000000000000000,2670,0,3167,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
508,508_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,138.000000000000000000000000000000,2499,26,3343,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
509,509_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,90.000000000000000000000000000000,3987,26,4158,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.403502093554268248531968765747,38
510,510_0,COMPLETED,Sobol,SOBOL,0.220000000000000001110223024625,97.000000000000000000000000000000,77,26,3902,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.913172867059707682457769806206,7
511,511_0,COMPLETED,Sobol,SOBOL,0.100000000000000005551115123126,144.000000000000000000000000000000,3798,11,646,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.316165090175345553369368190033,66
512,512_0,COMPLETED,Sobol,SOBOL,0.119999999999999995559107901499,203.000000000000000000000000000000,2752,17,3714,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.515966040527448099872742659500,88
513,513_0,COMPLETED,Sobol,SOBOL,0.100000000000000005551115123126,162.000000000000000000000000000000,1511,5,1731,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.239711335694417354558183319568,35
514,514_0,COMPLETED,Sobol,SOBOL,0.119999999999999995559107901499,180.000000000000000000000000000000,2278,14,464,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.640146264860406488672595060052,82
515,515_0,COMPLETED,Sobol,SOBOL,0.149999999999999994448884876874,166.000000000000000000000000000000,3537,1,4709,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.105541316935792564568608042919,42
516,516_0,COMPLETED,Sobol,SOBOL,0.130000000000000004440892098501,172.000000000000000000000000000000,4915,23,2152,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.804330147130414840894729877618,14
517,517_0,COMPLETED,Sobol,SOBOL,0.100000000000000005551115123126,160.000000000000000000000000000000,1136,7,2668,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.465697824938222759705297448818,60
518,518_0,COMPLETED,Sobol,SOBOL,0.100000000000000005551115123126,184.000000000000000000000000000000,758,19,2462,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.745776070460677176221508943854,79
519,519_0,COMPLETED,Sobol,SOBOL,0.149999999999999994448884876874,161.000000000000000000000000000000,4518,3,2983,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.025008239969611167213825453359,46
520,520_0,COMPLETED,Sobol,SOBOL,0.110000000000000000555111512313,188.000000000000000000000000000000,3321,25,149,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.823219171833246998737365629495,24
521,521_0,COMPLETED,Sobol,SOBOL,0.119999999999999995559107901499,179.000000000000000000000000000000,2041,12,4398,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.421224748324602826787810272435,51
522,522_0,COMPLETED,Sobol,SOBOL,0.110000000000000000555111512313,258.000000000000000000000000000000,1597,21,3400,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.956171174250543098871446545672,5
523,523_0,COMPLETED,Sobol,SOBOL,0.190000000000000002220446049250,171.000000000000000000000000000000,2817,9,1421,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.297775250516831901936853910229,70
524,524_0,COMPLETED,Sobol,SOBOL,0.100000000000000005551115123126,189.000000000000000000000000000000,4347,15,4212,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.596974538106471275256126318709,98
525,525_0,COMPLETED,Sobol,SOBOL,0.179999999999999993338661852249,71.000000000000000000000000000000,607,0,961,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.132632477898150691331125017314,27
526,526_0,COMPLETED,Sobol,SOBOL,0.110000000000000000555111512313,188.000000000000000000000000000000,323,16,2885,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.368047666126862182967016678958,95
527,527_0,COMPLETED,Sobol,SOBOL,0.149999999999999994448884876874,214.000000000000000000000000000000,4084,1,2286,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.901614355260506261657837967505,30
528,528_0,COMPLETED,Sobol,SOBOL,0.100000000000000005551115123126,157.000000000000000000000000000000,3120,20,4574,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.202813505290076134812693453568,1
529,529_0,COMPLETED,Sobol,SOBOL,0.100000000000000005551115123126,162.000000000000000000000000000000,1840,8,247,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.542509070156142136909238615772,74
530,530_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,91.000000000000000000000000000000,2122,26,1121,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.106027062312763320495179186764,35
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,112.000000000000000000000000000000,2297,26,3159,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,55
532,532_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,73.000000000000000000000000000000,330,0,1145,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.697373196369333814281787908840,43
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,120.000000000000000000000000000000,2671,26,1169,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.698778036770450694525891321973,51
534,534_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,68.000000000000000000000000000000,46,0,1754,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.639834535066537091196892106382,42
535,535_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,79.000000000000000000000000000000,2407,0,2272,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,41
536,536_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,74.000000000000000000000000000000,1292,0,604,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.718640759093993386485976770928,66
537,537_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,78.000000000000000000000000000000,4277,0,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,58
538,538_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,63.000000000000000000000000000000,4187,0,2568,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,19
539,539_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,3642.000000000000000000000000000000,698,13,22,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
540,540_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,91.000000000000000000000000000000,3991,26,3908,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
541,541_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,91.000000000000000000000000000000,1371,0,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.717099642220522914826119631471,40
542,542_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,68.000000000000000000000000000000,2013,0,3135,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.148663530504801078002685699175,37
543,543_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,164.000000000000000000000000000000,1673,1,3261,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,29
544,544_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.190000000000000002220446049250,114.000000000000000000000000000000,3281,0,3827,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,4
545,545_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,69.000000000000000000000000000000,2417,0,4225,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,59
546,546_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,87.000000000000000000000000000000,2676,0,2843,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,51
547,547_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.190000000000000002220446049250,120.000000000000000000000000000000,652,0,1989,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.825841743364822744588593650406,1
548,548_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,81.000000000000000000000000000000,1773,0,4240,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.220576367599280009912376954162,66
549,549_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,186.000000000000000000000000000000,4133,13,3297,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
550,550_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,177.000000000000000000000000000000,2845,9,3992,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.602857726374297797633516893256,68
551,551_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,165.000000000000000000000000000000,3140,9,4568,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.717486311747869032195978888922,22
552,552_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,156.000000000000000000000000000000,1782,9,1065,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.488831280518502997445295932266,33
553,553_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,219.000000000000000000000000000000,534,10,4411,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.185741587113869427438928028096,5
554,554_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,214.000000000000000000000000000000,2872,9,1404,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.370549654942778472488384977623,6
555,555_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,441.000000000000000000000000000000,2258,14,306,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,75
556,556_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,98.000000000000000000000000000000,1185,26,4838,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.309953386345477532870518189156,55
557,557_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,252.000000000000000000000000000000,3998,3,1145,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.967154767343453736216929428338,1
558,558_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,167.000000000000000000000000000000,2136,3,4824,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.879650704582749742854730357067,11
559,559_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,254.000000000000000000000000000000,2128,3,3807,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,3
560,560_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,241.000000000000000000000000000000,2917,3,4933,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.791260561452230448686862018803,51
561,561_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,226.000000000000000000000000000000,3715,3,2005,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,94
562,562_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,195.000000000000000000000000000000,3880,1,1886,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.078111465976871505279000018618,38
563,563_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,224.000000000000000000000000000000,4906,4,2661,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,71
564,564_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,168.000000000000000000000000000000,1429,1,2387,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.110560529058305989646981970509,11
565,565_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,162.000000000000000000000000000000,4576,13,4808,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.132983414247202669233871574761,100
566,566_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,186.000000000000000000000000000000,1070,23,2464,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
567,567_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.110000000000000000555111512313,225.000000000000000000000000000000,944,12,1771,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,97
568,568_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,265.000000000000000000000000000000,2437,1,891,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.416139352446921240158417276689,1
569,569_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,190.000000000000000000000000000000,1596,8,2412,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.091596232811466754553109126391,20
570,570_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,196.000000000000000000000000000000,2697,3,4878,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.210644225435231785548140237552,30
571,571_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,254.000000000000000000000000000000,31,10,1627,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
572,572_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,177.000000000000000000000000000000,1424,10,66,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,24
573,573_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,267.000000000000000000000000000000,3164,3,472,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
574,574_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,233.000000000000000000000000000000,2580,1,11,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
575,575_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,184.000000000000000000000000000000,1981,4,3166,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.596311180456925438164716979372,8
576,576_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,409.000000000000000000000000000000,3434,4,1916,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
577,577_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,93.000000000000000000000000000000,2085,26,2614,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.434617225906764548248872870317,40
578,578_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,190.000000000000000000000000000000,3624,3,2407,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.661987249397187116350949054322,11
579,579_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,160.000000000000000000000000000000,1118,3,3725,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.925596278962297125403324571380,28
580,580_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,203.000000000000000000000000000000,366,13,2518,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
581,581_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,161.000000000000000000000000000000,4306,4,3445,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.687847572331456658112358582002,8
582,582_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,187.000000000000000000000000000000,392,4,4118,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.661445999310827037476201439858,88
583,583_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,185.000000000000000000000000000000,744,10,3303,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,93
584,584_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,215.000000000000000000000000000000,1049,4,3949,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,95
585,585_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,166.000000000000000000000000000000,959,3,2412,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.562191150521410776264019659720,14
586,586_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,178.000000000000000000000000000000,993,4,1583,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
587,587_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,216.000000000000000000000000000000,2268,10,3599,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.629348347881100833589584908623,5
588,588_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,186.000000000000000000000000000000,903,4,126,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.361310682904876223631163156824,29
589,589_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.190000000000000002220446049250,125.000000000000000000000000000000,1268,0,540,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.493023419375217153426405047867,1
590,590_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,99.000000000000000000000000000000,1603,26,3445,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.811164325444315270630113445804,86
591,591_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,205.000000000000000000000000000000,1503,2,3776,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.719742846189020735181429699878,4
592,592_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,313.000000000000000000000000000000,4382,4,3855,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,2
593,593_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,178.000000000000000000000000000000,338,9,3906,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,2
594,594_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,143.000000000000000000000000000000,3056,1,432,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,18
595,595_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,126.000000000000000000000000000000,172,26,104,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.186504816423330749275422135725,100
596,596_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,265.000000000000000000000000000000,1491,10,565,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
597,597_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1558,4,16,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
598,598_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,187.000000000000000000000000000000,1918,4,413,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
599,599_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,176.000000000000000000000000000000,3625,23,4685,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,44
600,600_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,179.000000000000000000000000000000,4855,13,1620,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,18
601,601_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,169.000000000000000000000000000000,837,9,2439,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
602,602_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,170.000000000000000000000000000000,578,15,649,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.316807390975408664779422451829,100
603,603_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.110000000000000000555111512313,174.000000000000000000000000000000,2873,14,2193,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
604,604_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,241.000000000000000000000000000000,4079,14,2107,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.575880499291233971526082768833,65
605,605_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.190000000000000002220446049250,318.000000000000000000000000000000,4113,9,2288,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,93
606,606_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,130.000000000000000000000000000000,2027,26,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,64
607,607_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,213.000000000000000000000000000000,1023,3,3844,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.511083727763648520969752553356,98
608,608_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,244.000000000000000000000000000000,1091,18,439,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,48
609,609_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,80.000000000000000000000000000000,755,0,1002,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
610,610_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,213.000000000000000000000000000000,3759,21,4,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
611,611_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,228.000000000000000000000000000000,1227,24,1103,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
612,612_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,165.000000000000000000000000000000,114,13,2383,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,10
613,613_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,218.000000000000000000000000000000,1336,9,3434,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
614,614_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,172.000000000000000000000000000000,1876,4,4759,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
615,615_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,92.000000000000000000000000000000,1113,26,1293,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
616,616_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,154.000000000000000000000000000000,1180,9,4975,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.516859362162971569532032845018,76
617,617_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,171.000000000000000000000000000000,3462,4,3234,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,85
618,618_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,372.000000000000000000000000000000,2979,3,3868,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
619,619_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,99.000000000000000000000000000000,2136,26,2961,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,46
620,620_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,120.000000000000000000000000000000,481,26,773,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.600504075809651260975385866914,54
621,621_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,157.000000000000000000000000000000,1581,26,1436,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.884343463632147108732795004471,1
622,622_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,89.000000000000000000000000000000,3403,26,696,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.305412445363125506503365613753,51
623,623_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,182.000000000000000000000000000000,6,9,4824,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.399952759612953012702263322353,10
624,624_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,160.000000000000000000000000000000,1665,26,608,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
625,625_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,177.000000000000000000000000000000,88,9,3468,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,97
626,626_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,179.000000000000000000000000000000,132,13,3313,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,39
627,627_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,159.000000000000000000000000000000,430,10,969,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,84
628,628_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,173.000000000000000000000000000000,2548,10,2812,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,35
629,629_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,191.000000000000000000000000000000,3194,9,203,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
630,630_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,163.000000000000000000000000000000,847,9,4720,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,87
631,631_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,179.000000000000000000000000000000,2197,4,1649,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,26
632,632_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,197.000000000000000000000000000000,2369,4,1922,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.572736787730865670731361660728,52
633,633_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,124.000000000000000000000000000000,4573,0,1740,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.291565628530829679121438857692,1
634,634_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,273.000000000000000000000000000000,3077,6,91,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
635,635_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,104.000000000000000000000000000000,293,26,665,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,41
636,636_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,107.000000000000000000000000000000,3751,26,2708,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
637,637_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,161.000000000000000000000000000000,398,26,1406,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.803313478662733615465185721405,100
638,638_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,158.000000000000000000000000000000,471,3,2440,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,95
639,639_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,76.000000000000000000000000000000,4647,0,2257,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
640,640_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,180.000000000000000000000000000000,156,13,507,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,49
641,641_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,115.000000000000000000000000000000,1,26,2197,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.079165398557313526595180519507,1
642,642_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,355.000000000000000000000000000000,3127,13,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
643,643_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,107.000000000000000000000000000000,4035,26,760,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.623385910291455624943068869470,1
644,644_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,229.000000000000000000000000000000,55,9,1339,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
645,645_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,147.000000000000000000000000000000,1,0,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
646,646_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,81.000000000000000000000000000000,359,0,4995,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
647,647_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,101.000000000000000000000000000000,2894,26,1671,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.769745871399737935369955721399,28
648,648_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,109.000000000000000000000000000000,1,0,85,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.108262487437304835702356342608,1
649,649_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.190000000000000002220446049250,215.000000000000000000000000000000,2933,9,4723,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
650,650_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1362,26,14,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.860127949215450438025243329321,100
651,651_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,157.000000000000000000000000000000,4335,26,2131,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.448807335536734852698970144047,4
652,652_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,219.000000000000000000000000000000,134,1,2021,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.307731610158176682734421092391,65
653,653_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,174.000000000000000000000000000000,3459,3,4348,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,12
654,654_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,239.000000000000000000000000000000,2150,3,1541,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.734215813365501235310262018174,62
655,655_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,310.000000000000000000000000000000,1150,9,1244,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
656,656_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,149.000000000000000000000000000000,4984,3,747,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,32
657,657_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,196.000000000000000000000000000000,2780,13,687,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.556501358284752223326563580486,9
658,658_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,223.000000000000000000000000000000,622,13,351,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,82
659,659_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,80.000000000000000000000000000000,2910,26,4117,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,33
660,660_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.110000000000000000555111512313,185.000000000000000000000000000000,235,4,201,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,53
661,661_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,111.000000000000000000000000000000,747,0,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
662,662_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.190000000000000002220446049250,229.000000000000000000000000000000,659,9,4993,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
663,663_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,117.000000000000000000000000000000,1,26,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
664,664_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,200.000000000000000000000000000000,4824,3,2930,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.554349502278640771102402595716,6
665,665_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,123.000000000000000000000000000000,2053,26,3404,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
666,666_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,1062.000000000000000000000000000000,1372,26,116,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.610880868477923555381892128935,100
667,667_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,150.000000000000000000000000000000,4969,9,4974,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.279379437782766915088217274388,2
668,668_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,197.000000000000000000000000000000,2451,3,29,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
669,669_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,264.000000000000000000000000000000,1151,26,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
670,670_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,106.000000000000000000000000000000,1,26,715,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,4
671,671_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,174.000000000000000000000000000000,855,1,4972,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,11
672,672_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,202.000000000000000000000000000000,2008,4,70,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
673,673_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,159.000000000000000000000000000000,421,3,4968,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,81
674,674_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,143.000000000000000000000000000000,3893,26,3744,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
675,675_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,307.000000000000000000000000000000,3759,4,425,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,94
676,676_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,120.000000000000000000000000000000,4803,26,1520,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,89
677,677_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,219.000000000000000000000000000000,154,4,4190,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
678,678_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,135.000000000000000000000000000000,276,3,3328,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.016571876435902976182346080236,65
679,679_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,80.000000000000000000000000000000,1249,0,777,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.176690555110950636708011529663,50
680,680_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,261.000000000000000000000000000000,4359,1,4892,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.103950218180784231813973406133,83
681,681_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,81.000000000000000000000000000000,901,0,1491,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
682,682_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,186.000000000000000000000000000000,3874,3,269,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,42
683,683_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.190000000000000002220446049250,185.000000000000000000000000000000,4427,9,353,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,84
684,684_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,406.000000000000000000000000000000,944,13,1331,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
685,685_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,149.000000000000000000000000000000,193,3,2748,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,27
686,686_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,202.000000000000000000000000000000,184,13,2165,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
687,687_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.190000000000000002220446049250,295.000000000000000000000000000000,3874,9,862,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,89
688,688_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,111.000000000000000000000000000000,2575,26,855,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.272963630138400081825977849803,41
689,689_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,173.000000000000000000000000000000,2187,9,1227,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.135296452261730204558176637875,66
690,690_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,211.000000000000000000000000000000,1034,13,2096,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,37
691,691_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,80.000000000000000000000000000000,489,26,1313,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
692,692_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,73.000000000000000000000000000000,4201,0,3975,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
693,693_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,94.000000000000000000000000000000,3743,0,3128,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
694,694_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,189.000000000000000000000000000000,129,9,4886,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,98
695,695_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,110.000000000000000000000000000000,1896,26,1392,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
696,696_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,111.000000000000000000000000000000,293,26,1740,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.744765083878294653629836830078,43
697,697_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,221.000000000000000000000000000000,2529,13,922,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,15
698,698_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,409.000000000000000000000000000000,1053,9,167,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.492443372621710895309377065132,70
699,699_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.190000000000000002220446049250,355.000000000000000000000000000000,693,9,608,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.050791437798220845367680453819,87
700,700_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,205.000000000000000000000000000000,4125,26,454,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,74
701,701_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.190000000000000002220446049250,82.000000000000000000000000000000,1311,0,1385,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,2
702,702_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,129.000000000000000000000000000000,1508,26,600,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
703,703_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,99.000000000000000000000000000000,2204,0,1043,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,63
704,704_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,185.000000000000000000000000000000,2505,9,3340,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,11
705,705_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,221.000000000000000000000000000000,3386,26,199,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.836334383404537251571753131429,69
706,706_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,110.000000000000000000000000000000,1333,26,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
707,707_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,90.000000000000000000000000000000,1238,26,2336,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.632477907090243429699683019862,44
708,708_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,166.000000000000000000000000000000,3473,26,4558,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.362361658309042211634221075656,1
709,709_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,144.000000000000000000000000000000,2922,26,3810,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.289516167116898093247812084883,1
710,710_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,142.000000000000000000000000000000,3107,26,4839,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.566586338244708498379509364895,54
711,711_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,256.000000000000000000000000000000,1257,9,857,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,3
712,712_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,162.000000000000000000000000000000,1723,26,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
713,713_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,149.000000000000000000000000000000,2842,26,985,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
714,714_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,63.000000000000000000000000000000,3510,0,4246,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,53
715,715_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,98.000000000000000000000000000000,4555,0,2997,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
716,716_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,103.000000000000000000000000000000,1083,26,1090,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.425596979832123856191117283743,56
717,717_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,143.000000000000000000000000000000,2903,0,844,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,70
718,718_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,143.000000000000000000000000000000,1308,0,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
719,719_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,182.000000000000000000000000000000,4626,9,2498,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
720,720_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,159.000000000000000000000000000000,2988,26,3559,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.310167662817952216602890302966,1
721,721_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,93.000000000000000000000000000000,2325,26,1417,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.604614878798830357453653050470,1
722,722_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,113.000000000000000000000000000000,1970,0,4757,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.939964743146938341844531805691,1
723,723_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,389.000000000000000000000000000000,2013,4,790,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.923456900002687208761642523314,94
724,724_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,155.000000000000000000000000000000,462,3,4885,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.476074794412834123580324785507,1
725,725_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,102.000000000000000000000000000000,3864,26,3309,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,46
726,726_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,242.000000000000000000000000000000,2551,13,2660,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
727,727_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,221.000000000000000000000000000000,959,9,2583,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
728,728_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,201.000000000000000000000000000000,3695,9,2972,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
729,729_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,160.000000000000000000000000000000,3931,13,2662,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
730,730_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,119.000000000000000000000000000000,1988,26,1739,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.915875779903421172178923370666,57
731,731_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,153.000000000000000000000000000000,521,9,4877,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.196970158743825646263658768476,51
732,732_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,120.000000000000000000000000000000,118,26,2749,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,79
733,733_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,269.000000000000000000000000000000,226,13,1065,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,85
734,734_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,123.000000000000000000000000000000,1408,0,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
735,735_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,327.000000000000000000000000000000,2770,13,2293,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
736,736_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,96.000000000000000000000000000000,3836,26,2060,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
737,737_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,202.000000000000000000000000000000,4995,13,582,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
738,738_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,186.000000000000000000000000000000,578,26,4303,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.048559562865354587157806776077,1
739,739_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.190000000000000002220446049250,201.000000000000000000000000000000,1013,13,579,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.485398126275690788844485723530,7
740,740_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,120.000000000000000000000000000000,405,26,1264,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.505904320259992879016408551252,1
741,741_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,210.000000000000000000000000000000,2991,13,3107,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.085532911205254927300423162251,1
742,742_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,99.000000000000000000000000000000,2961,26,1863,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.484623788063728744290870054101,100
743,743_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,147.000000000000000000000000000000,3617,26,2727,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.282221803608306121002868849246,1
744,744_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,102.000000000000000000000000000000,4866,26,2225,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.246787618459867047482347857112,46
745,745_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,96.000000000000000000000000000000,2466,0,1454,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.503824332253949735971332302142,1
746,746_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,148.000000000000000000000000000000,5000,26,892,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
747,747_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,162.000000000000000000000000000000,5000,26,2349,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
748,748_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.190000000000000002220446049250,245.000000000000000000000000000000,2670,13,2624,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.047470053842390211307211700387,1
749,749_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,185.000000000000000000000000000000,1170,1,3674,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,4
750,750_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,113.000000000000000000000000000000,4751,26,2468,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.903488547303151312561908525822,100
751,751_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,150.000000000000000000000000000000,4323,26,3481,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.794626471005053347518298778596,100
752,752_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,104.000000000000000000000000000000,798,26,1046,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.560508250263898832876918731927,19
753,753_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,109.000000000000000000000000000000,3395,26,327,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
754,754_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,344.000000000000000000000000000000,3148,9,3224,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
755,755_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,124.000000000000000000000000000000,5000,26,4412,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
756,756_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,120.000000000000000000000000000000,3599,26,398,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.478639974727735673099004998221,1
757,757_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,119.000000000000000000000000000000,3453,26,4194,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
758,758_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,162.000000000000000000000000000000,2066,26,2827,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
759,759_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,128.000000000000000000000000000000,5000,26,4078,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
760,760_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,255.000000000000000000000000000000,597,13,1248,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
761,761_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,121.000000000000000000000000000000,5000,26,399,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
762,762_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,144.000000000000000000000000000000,4559,26,481,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.657501308437271503315457721328,1
763,763_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,166.000000000000000000000000000000,2559,1,3273,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,15
764,764_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,116.000000000000000000000000000000,4323,26,1212,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.565371632031289927944328610465,37
765,765_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,106.000000000000000000000000000000,3742,26,228,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,12
766,766_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,87.000000000000000000000000000000,4592,26,2951,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.601665829016221342939729765931,62
767,767_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,97.000000000000000000000000000000,2554,26,2853,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.297300135858383107745339657413,13
768,768_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,119.000000000000000000000000000000,300,26,2959,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,31
769,769_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,129.000000000000000000000000000000,1341,26,1549,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.680476301596802501947536256921,31
770,770_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.190000000000000002220446049250,356.000000000000000000000000000000,392,13,1432,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.380087387393680864455802748125,100
771,771_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,445.000000000000000000000000000000,1684,13,1521,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
772,772_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,89.000000000000000000000000000000,426,26,2439,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,22
773,773_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,115.000000000000000000000000000000,5000,26,1325,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
774,774_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,168.000000000000000000000000000000,3952,3,1553,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
775,775_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.190000000000000002220446049250,292.000000000000000000000000000000,3292,9,4420,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
776,776_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,172.000000000000000000000000000000,1148,26,328,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,55
777,777_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,199.000000000000000000000000000000,2609,9,2719,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,41
778,778_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,286.000000000000000000000000000000,119,13,4769,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
779,779_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,94.000000000000000000000000000000,1591,26,177,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,11
780,780_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,289.000000000000000000000000000000,2898,9,186,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
781,781_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,127.000000000000000000000000000000,4220,26,462,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.697175617771133571132224915345,46
782,782_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,91.000000000000000000000000000000,1297,26,500,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.810309040193216700842526734050,14
783,783_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,100.000000000000000000000000000000,3066,0,168,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,40
784,784_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,218.000000000000000000000000000000,792,13,3816,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.059243234374990544344186105263,1
785,785_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,117.000000000000000000000000000000,2417,26,1642,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.596743525203889291219638835173,19
786,786_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,101.000000000000000000000000000000,1075,26,487,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.946708227264840607162454944046,18
787,787_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,76.000000000000000000000000000000,503,0,929,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.527923234419541143047638342978,84
788,788_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,108.000000000000000000000000000000,4362,26,3302,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,25
789,789_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,119.000000000000000000000000000000,5000,26,2942,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
790,790_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,103.000000000000000000000000000000,3929,26,637,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.881953422319508018034639462712,20
791,791_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,121.000000000000000000000000000000,4504,26,667,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.661141351349237349488419113186,91
792,792_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,102.000000000000000000000000000000,2963,26,2693,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,13
793,793_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,325.000000000000000000000000000000,4274,14,1118,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
794,794_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,103.000000000000000000000000000000,3644,26,4750,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.597982318337827445375864954258,37
795,795_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,201.000000000000000000000000000000,4870,26,1329,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.357795592450169896991951645759,1
796,796_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,288.000000000000000000000000000000,123,26,883,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.643208076657705851708612954098,100
797,797_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,197.000000000000000000000000000000,4737,26,2812,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.340275625771540357611399940652,1
798,798_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,374.000000000000000000000000000000,4659,4,1338,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
799,799_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,275.000000000000000000000000000000,4595,9,1539,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,89
800,800_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,159.000000000000000000000000000000,4178,3,4028,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,55
801,801_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,310.000000000000000000000000000000,375,9,2617,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.309573062526529385607432232064,1
802,802_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,157.000000000000000000000000000000,4984,3,4146,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.776680147777610740966736102564,24
803,803_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,110.000000000000000000000000000000,5000,0,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.888744095436803660525981740648,100
804,804_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,134.000000000000000000000000000000,1874,0,2281,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
805,805_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,71.000000000000000000000000000000,1813,0,3514,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,75
806,806_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,226.000000000000000000000000000000,3305,1,3449,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.116144250299346066257477616546,80
807,807_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,176.000000000000000000000000000000,1737,3,2336,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
808,808_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,151.000000000000000000000000000000,1690,1,1415,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.995626730520699720905497542844,100
809,809_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,222.000000000000000000000000000000,173,10,3131,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
810,810_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,393.000000000000000000000000000000,126,4,4930,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
811,811_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,150.000000000000000000000000000000,1382,1,1400,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,29
812,812_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,151.000000000000000000000000000000,4445,13,3451,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,43
813,813_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,146.000000000000000000000000000000,4592,13,4970,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,15
814,814_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,286.000000000000000000000000000000,547,13,3957,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.782928043518500649255997814180,1
815,815_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.110000000000000000555111512313,555.000000000000000000000000000000,4352,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.768644270879900837201148533495,21
816,816_0,FAILED,BoTorch,BOTORCH_MODULAR,,,236,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
817,817_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,259.000000000000000000000000000000,4936,1,3981,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,71
818,818_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,174.000000000000000000000000000000,1214,9,1289,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
819,819_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,115.000000000000000000000000000000,2186,0,850,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,11
820,820_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,101.000000000000000000000000000000,4392,26,3582,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.250915675048739128527586217388,55
821,821_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,70.000000000000000000000000000000,2387,0,3504,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.439986614983983170823478303646,23
822,822_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,162.000000000000000000000000000000,3165,10,2277,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,2
823,823_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,177.000000000000000000000000000000,615,3,2548,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.217671676754265880360250662306,92
824,824_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,234.000000000000000000000000000000,572,3,2866,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,22
825,825_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,98.000000000000000000000000000000,5000,0,3149,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
826,826_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,98.000000000000000000000000000000,891,26,1429,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.529618988450858085847983147687,14
827,827_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,288.000000000000000000000000000000,321,12,3889,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,2
828,828_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,196.000000000000000000000000000000,593,9,2004,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
829,829_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,156.000000000000000000000000000000,1,26,1251,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
830,830_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4773,0,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,4
831,831_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,176.000000000000000000000000000000,702,3,1515,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,91
832,832_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,217.000000000000000000000000000000,1353,4,4922,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,5
833,833_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,26,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
834,834_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,114.000000000000000000000000000000,4182,26,870,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,17
835,835_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,181.000000000000000000000000000000,347,13,2869,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
836,836_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,215.000000000000000000000000000000,1281,3,2118,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
837,837_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,114.000000000000000000000000000000,4290,26,1341,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.725301807620306271395804742497,19
838,833_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,26,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
839,839_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,98.000000000000000000000000000000,4537,0,1573,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.943991391963979520340899398434,49
840,840_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,188.000000000000000000000000000000,4948,9,3326,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,63
841,841_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.110000000000000000555111512313,166.000000000000000000000000000000,1063,13,4880,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.330651334166995436447678002878,1
842,842_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,111.000000000000000000000000000000,4007,26,2958,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,13
843,843_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,177.000000000000000000000000000000,1,26,993,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
844,833_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,26,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
845,845_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,137.000000000000000000000000000000,1,26,2555,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
846,833_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,26,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
847,847_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,225.000000000000000000000000000000,4904,1,1133,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
848,848_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,222.000000000000000000000000000000,1877,3,3684,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
849,849_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,83.000000000000000000000000000000,1,26,4514,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
850,850_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,195.000000000000000000000000000000,4896,9,1929,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,7
851,851_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,111.000000000000000000000000000000,3657,26,1455,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.657973566322824443552974571503,68
852,852_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,83.000000000000000000000000000000,1,0,1453,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
853,853_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,215.000000000000000000000000000000,343,13,3931,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,82
854,854_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,166.000000000000000000000000000000,1374,26,1320,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.626664434421899452232196381374,1
855,855_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,179.000000000000000000000000000000,436,4,2679,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
856,856_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,182.000000000000000000000000000000,2304,10,3736,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
857,857_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,212.000000000000000000000000000000,1,13,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
858,858_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,188.000000000000000000000000000000,133,4,3171,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,83
859,859_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,0,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,35
860,860_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,98.000000000000000000000000000000,214,26,3228,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.510907034201627308078741407371,61
861,861_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,277.000000000000000000000000000000,239,13,4569,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
862,862_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,0,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,26
863,863_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,26,1768,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1

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start_time,end_time,run_time,program_string,recent_samples_size,feature_id,batch_size,divergence,detect_batch,statistic,significance,subsets,ACCURACY,RUNTIME,exit_code,signal,hostname,OO_Info_runtime,OO_Info_peak_memory,OO_Info_mean_memory,OO_Info_lpd,OO_Info_portion_req_label,OO_Info_SLURM_JOB_ID
1745406444,1745406591,147,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 77 feature_id 26 batch_size 3902 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.9131728670597077 subsets 7,77,26,3902,str\(\'KL\'\),3,str\(\'tstat\'\),0.9131728670597077,7,0.22,97,0,None,i7175,97,683.78515625,644.2265625,-1,0.19449221183800622,4622365
1745406444,1745406642,198,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3798 feature_id 11 batch_size 646 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.31616509017534555 subsets 66,3798,11,646,str\(\'H\'\),1,str\(\'stdev\'\),0.31616509017534555,66,0.1,144,0,None,i7175,144,681.40234375,642.6799172794117,-1,0,4622384
1745406470,1745406655,185,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3537 feature_id 1 batch_size 4709 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.10554131693579256 subsets 42,3537,1,4709,str\(\'KL\'\),2,str\(\'stdev\'\),0.10554131693579256,42,0.15,166,0,None,i7177,166,687.86328125,680.5115131578947,-1,0.2933956386292835,4622503
1745406444,1745406699,255,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2752 feature_id 17 batch_size 3714 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.5159660405274481 subsets 88,2752,17,3714,str\(\'KL\'\),2,str\(\'stdev\'\),0.5159660405274481,88,0.12,203,0,None,i7175,203,683.25,640.2747961956521,-1,0.2776822429906542,4622409
1745406501,1745406724,223,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1511 feature_id 5 batch_size 1731 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.23971133569441735 subsets 35,1511,5,1731,str\(\'H\'\),3,str\(\'tstat\'\),0.23971133569441735,35,0.1,162,0,None,i7174,162,671.67578125,628.1714638157895,-1,0.15099065420560748,4622430
1745406548,1745406727,179,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1136 feature_id 7 batch_size 2668 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.46569782493822276 subsets 60,1136,7,2668,str\(\'KL\'\),2,str\(\'tstat\'\),0.46569782493822276,60,0.1,160,0,None,i7177,160,684.2890625,683.8860677083334,-1,0,4622573
1745406501,1745406743,242,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2278 feature_id 14 batch_size 464 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.6401462648604065 subsets 82,2278,14,464,str\(\'H\'\),3,str\(\'tstat\'\),0.6401462648604065,82,0.12,180,0,None,i7174,180,671.83203125,628.17734375,-1,0.22549532710280373,4622467
1745406616,1745406822,206,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4915 feature_id 23 batch_size 2152 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.8043301471304148 subsets 14,4915,23,2152,str\(\'H\'\),1,str\(\'stdev\'\),0.8043301471304148,14,0.13,172,0,None,i7179,172,687.2734375,685.1330078125,-1,0.10726479750778817,4622534
1745406669,1745406849,180,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4518 feature_id 3 batch_size 2983 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.025008239969611167 subsets 46,4518,3,2983,str\(\'H\'\),2,str\(\'stdev\'\),0.025008239969611167,46,0.15,161,0,None,i7177,161,688.44921875,686.0275493421053,-1,0.18585669781931463,4622672
1745406788,1745406878,90,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 607 feature_id 0 batch_size 961 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.1326324778981507 subsets 27,607,0,961,str\(\'KL\'\),1,str\(\'tstat\'\),0.1326324778981507,27,0.18,71,0,None,i7175,71,688.55078125,688.484765625,-1,0.191601246105919,4622916
1745406664,1745406886,222,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 758 feature_id 19 batch_size 2462 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.7457760704606772 subsets 79,758,19,2462,str\(\'KL\'\),1,str\(\'tstat\'\),0.7457760704606772,79,0.1,184,0,None,i7178,184,689.03125,686.0385044642857,-1,0.15916510903426792,4622626
1745406740,1745406945,205,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2041 feature_id 12 batch_size 4398 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.4212247483246028 subsets 51,2041,12,4398,str\(\'H\'\),2,str\(\'tstat\'\),0.4212247483246028,51,0.12,179,0,None,i7175,179,687.8046875,687.737890625,-1,0.27401869158878506,4622760
1745406755,1745406962,207,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4347 feature_id 15 batch_size 4212 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.5969745381064713 subsets 98,4347,15,4212,str\(\'H\'\),2,str\(\'stdev\'\),0.5969745381064713,98,0.1,189,0,None,i7177,189,686.37109375,686.1450892857143,-1,0.052485981308411214,4622882
1745406771,1745406974,203,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2817 feature_id 9 batch_size 1421 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.2977752505168319 subsets 70,2817,9,1421,str\(\'KL\'\),3,str\(\'stdev\'\),0.2977752505168319,70,0.19,171,0,None,i7174,171,684.08984375,672.1095703125,-1,0.23019314641744548,4622840
1745406740,1745407028,288,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1597 feature_id 21 batch_size 3400 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.9561711742505431 subsets 5,1597,21,3400,str\(\'H\'\),1,str\(\'tstat\'\),0.9561711742505431,5,0.11,258,0,None,i7175,258,688.3515625,688.3264508928571,-1,0.6355140186915887,4622801
1745406890,1745407064,174,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3120 feature_id 20 batch_size 4574 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.20281350529007613 subsets 1,3120,20,4574,str\(\'H\'\),1,str\(\'tstat\'\),0.20281350529007613,1,0.1,157,0,None,i7177,157,688.75390625,688.5455729166666,-1,0,4623003
1745406823,1745407064,241,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3321 feature_id 25 batch_size 149 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.823219171833247 subsets 24,3321,25,149,str\(\'KL\'\),3,str\(\'stdev\'\),0.823219171833247,24,0.11,188,0,None,i7178,188,687.6640625,685.6331845238095,-1,0.17452959501557633,4622719
1745406868,1745407098,230,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4084 feature_id 1 batch_size 2286 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.9016143552605063 subsets 30,4084,1,2286,str\(\'KL\'\),2,str\(\'tstat\'\),0.9016143552605063,30,0.15,214,0,None,i7185,214,687.43359375,687.3863932291666,-1,0.2848598130841121,4622972
1745406918,1745407151,233,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 323 feature_id 16 batch_size 2885 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.3680476661268622 subsets 95,323,16,2885,str\(\'H\'\),3,str\(\'stdev\'\),0.3680476661268622,95,0.11,188,0,None,i7179,188,687.3828125,687.3530505952381,-1,0.25165109034267913,4622946
1745407189,1745407502,313,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1840 feature_id 8 batch_size 247 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.5425090701561421 subsets 74,1840,8,247,str\(\'KL\'\),3,str\(\'stdev\'\),0.5425090701561421,74,0.1,162,0,None,i7181,162,676.48046875,663.6963404605264,-1,0.07079127725856697,4623041
1745407956,1745408071,115,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2122 feature_id 26 batch_size 1121 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.10602706231276332 subsets 35,2122,26,1121,str\(\'H\'\),3,str\(\'tstat\'\),0.10602706231276332,35,0.2,91,0,None,i7177,91,689.05859375,688.9925130208334,-1,0.16762616822429907,4624073
1745408289,1745408423,134,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2297 feature_id 26 batch_size 3159 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 55,2297,26,3159,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,55,0.22,112,0,None,i7174,112,689.37109375,689.318359375,-1,0.2506417445482866,4624385
1745408759,1745408873,114,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 330 feature_id 0 batch_size 1145 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.6973731963693338 subsets 43,330,0,1145,str\(\'KL\'\),3,str\(\'tstat\'\),0.6973731963693338,43,0.17,73,0,None,i7178,73,687.37109375,687.3046875,-1,0.2425545171339564,4624764
1745409230,1745409398,168,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2671 feature_id 26 batch_size 1169 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.6987780367704507 subsets 51,2671,26,1169,str\(\'KL\'\),3,str\(\'stdev\'\),0.6987780367704507,51,0.21,120,0,None,i7172,120,688.6796875,688.6336495535714,-1,0.21850467289719627,4625197
1745409601,1745409722,121,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 46 feature_id 0 batch_size 1754 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.6398345350665371 subsets 42,46,0,1754,str\(\'H\'\),2,str\(\'tstat\'\),0.6398345350665371,42,0.16,68,0,None,i7178,68,687.65234375,687.5503472222222,-1,0.15299688473520248,4625549
1745410001,1745410098,97,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2407 feature_id 0 batch_size 2272 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 41,2407,0,2272,str\(\'H\'\),3,str\(\'stdev\'\),0.001,41,0.18,79,0,None,i7186,79,687.0234375,686.96640625,-1,0.19818068535825545,4625904
1745410336,1745410426,90,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1292 feature_id 0 batch_size 604 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.7186407590939934 subsets 66,1292,0,604,str\(\'H\'\),3,str\(\'tstat\'\),0.7186407590939934,66,0.18,74,0,None,i7177,74,687.5703125,687.48828125,-1,0.25590031152647974,4626168
1745410708,1745410804,96,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4277 feature_id 0 batch_size 5000 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 58,4277,0,5000,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,58,0.17,78,0,None,i7185,78,688.9296875,688.61640625,-1,0.162006230529595,4626502
1745411092,1745411174,82,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4187 feature_id 0 batch_size 2568 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 19,4187,0,2568,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,19,0.15,63,0,None,i7167,63,687.84375,687.7669270833334,-1,0.192,4626822
1745412024,1745412170,146,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3991 feature_id 26 batch_size 3908 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,3991,26,3908,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,1,0.22,91,0,None,i7178,91,687.5078125,686.0289713541666,-1,0.24348909657320872,4627567
1745412247,1745412351,104,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1371 feature_id 0 batch_size 5000 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.7170996422205229 subsets 40,1371,0,5000,str\(\'H\'\),1,str\(\'stdev\'\),0.7170996422205229,40,0.17,91,0,None,i7185,91,688.5859375,688.1998697916666,-1,0.162006230529595,4627829
1745412604,1745412687,83,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2013 feature_id 0 batch_size 3135 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.14866353050480108 subsets 37,2013,0,3135,str\(\'H\'\),3,str\(\'tstat\'\),0.14866353050480108,37,0.16,68,0,None,i7180,68,687.46875,687.3845486111111,-1,0.117196261682243,4628129
1745413087,1745413273,186,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1673 feature_id 1 batch_size 3261 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 29,1673,1,3261,str\(\'H\'\),1,str\(\'stdev\'\),0.999,29,0.15,164,0,None,i7185,164,687.55859375,687.5271381578947,-1,0.2844485981308411,4628556
1745413448,1745413577,129,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3281 feature_id 0 batch_size 3827 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 4,3281,0,3827,str\(\'H\'\),1,str\(\'tstat\'\),0.999,4,0.19,114,0,None,i7185,114,688.2421875,688.1858258928571,-1,0.881171339563863,4628955
1745413963,1745414065,102,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2417 feature_id 0 batch_size 4225 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 59,2417,0,4225,str\(\'H\'\),1,str\(\'tstat\'\),0.999,59,0.18,69,0,None,i7183,69,688.0859375,687.8237847222222,-1,0.1330342679127726,4629437
1745414247,1745414352,105,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2676 feature_id 0 batch_size 2843 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 51,2676,0,2843,str\(\'H\'\),3,str\(\'tstat\'\),0.999,51,0.16,87,0,None,i7185,87,687.6796875,687.6075994318181,-1,0.17713395638629284,4629918
1745414754,1745414890,136,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 652 feature_id 0 batch_size 1989 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.8258417433648227 subsets 1,652,0,1989,str\(\'KL\'\),1,str\(\'stdev\'\),0.8258417433648227,1,0.19,120,0,None,i7177,120,688.046875,688.0128348214286,-1,0.9664922118380063,4630526
1745411472,1745415140,3668,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 698 feature_id 13 batch_size 22 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 100,698,13,22,str\(\'H\'\),1,str\(\'tstat\'\),0.001,100,0.18,3642,0,None,i7174,3642,687.765625,672.8079000170765,-1,0.15626168224299064,4627144
1745415225,1745415329,104,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1773 feature_id 0 batch_size 4240 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.22057636759928 subsets 66,1773,0,4240,str\(\'H\'\),1,str\(\'stdev\'\),0.22057636759928,66,0.18,81,0,None,i7182,81,689.07421875,688.8561789772727,-1,0.0807601246105919,4631178
1745415633,1745415840,207,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4133 feature_id 13 batch_size 3297 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 100,4133,13,3297,str\(\'H\'\),1,str\(\'stdev\'\),0.999,100,0.1,186,0,None,i7171,186,687.6875,687.4892113095239,-1,0,4631630
1745416242,1745416441,199,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2845 feature_id 9 batch_size 3992 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.6028577263742978 subsets 68,2845,9,3992,str\(\'KL\'\),3,str\(\'stdev\'\),0.6028577263742978,68,0.18,177,0,None,i7175,177,687.40625,687.365625,-1,0.29846728971962616,4632197
1745416707,1745416929,222,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3140 feature_id 9 batch_size 4568 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.717486311747869 subsets 22,3140,9,4568,str\(\'KL\'\),3,str\(\'stdev\'\),0.717486311747869,22,0.17,165,0,None,i7178,165,687.171875,686.4527138157895,-1,0.22768847352024923,4632499
1745417053,1745417230,177,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1782 feature_id 9 batch_size 1065 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.488831280518503 subsets 33,1782,9,1065,str\(\'H\'\),3,str\(\'stdev\'\),0.488831280518503,33,0.18,156,0,None,i7169,156,687.44140625,687.4077690972222,-1,0.14761370716510902,4632898
1745417494,1745417729,235,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 534 feature_id 10 batch_size 4411 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.18574158711386943 subsets 5,534,10,4411,str\(\'KL\'\),1,str\(\'stdev\'\),0.18574158711386943,5,0.14,219,0,None,i7173,219,687.80078125,687.7809244791666,-1,0.4946915887850467,4633246
1745417947,1745418179,232,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2872 feature_id 9 batch_size 1404 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.3705496549427785 subsets 6,2872,9,1404,str\(\'H\'\),1,str\(\'tstat\'\),0.3705496549427785,6,0.2,214,0,None,i7180,214,688.578125,688.5499674479166,-1,0.5073644859813085,4633597
1745418350,1745418806,456,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2258 feature_id 14 batch_size 306 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 75,2258,14,306,str\(\'H\'\),1,str\(\'tstat\'\),0.999,75,0.12,441,0,None,i7180,441,688.2578125,688.2465924202128,-1,0.40418691588785044,4633914
1745418773,1745418889,116,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1185 feature_id 26 batch_size 4838 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.30995338634547753 subsets 55,1185,26,4838,str\(\'KL\'\),1,str\(\'tstat\'\),0.30995338634547753,55,0.22,98,0,None,i7180,98,688,687.5875651041666,-1,0.2162367601246106,4634761
1745419147,1745419411,264,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3998 feature_id 3 batch_size 1145 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.9671547673434537 subsets 1,3998,3,1145,str\(\'H\'\),1,str\(\'tstat\'\),0.9671547673434537,1,0.16,252,0,None,i7180,252,688.05078125,688.03125,-1,0.9738442367601247,4635539
1745419631,1745419812,181,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2136 feature_id 3 batch_size 4824 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.8796507045827497 subsets 11,2136,3,4824,str\(\'H\'\),1,str\(\'stdev\'\),0.8796507045827497,11,0.16,167,0,None,i7180,167,688.0703125,688.0474917763158,-1,0.27565109034267915,4635941
1745420135,1745420429,294,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2128 feature_id 3 batch_size 3807 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 3,2128,3,3807,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,3,0.17,254,0,None,i7183,254,687.58984375,687.5634765625,-1,0.9238753894080997,4636729
1745421209,1745421572,363,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2917 feature_id 3 batch_size 4933 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.7912605614522304 subsets 51,2917,3,4933,str\(\'KL\'\),1,str\(\'tstat\'\),0.7912605614522304,51,0.16,241,0,None,i7186,241,688.140625,688.1086516203703,-1,0.40538317757009346,4637185
1745421775,1745422020,245,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3715 feature_id 3 batch_size 2005 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 94,3715,3,2005,str\(\'H\'\),1,str\(\'tstat\'\),0.001,94,0.15,226,0,None,i7185,226,688.546875,688.11984375,-1,0.19987538940809968,4637490
1745422113,1745422413,300,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3880 feature_id 1 batch_size 1886 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.0781114659768715 subsets 38,3880,1,1886,str\(\'H\'\),3,str\(\'stdev\'\),0.0781114659768715,38,0.14,195,0,None,i7182,195,693.6015625,647.3156960227273,-1,0.233607476635514,4637671
1745422407,1745422794,387,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4906 feature_id 4 batch_size 2661 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 71,4906,4,2661,str\(\'H\'\),1,str\(\'stdev\'\),0.001,71,0.15,224,0,None,i7178,224,682.203125,679.476875,-1,0.36474766355140187,4637903
1745422662,1745422982,320,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1429 feature_id 1 batch_size 2387 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.11056052905830599 subsets 11,1429,1,2387,str\(\'H\'\),1,str\(\'stdev\'\),0.11056052905830599,11,0.17,168,0,None,i7186,168,688.65625,688.625822368421,-1,0.24279127725856697,4638189
1745422988,1745423223,235,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4576 feature_id 13 batch_size 4808 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.13298341424720267 subsets 100,4576,13,4808,str\(\'KL\'\),3,str\(\'tstat\'\),0.13298341424720267,100,0.13,162,0,None,i7183,162,687.9921875,687.7952302631579,-1,0.11982554517133956,4639572
1745423402,1745423613,211,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1070 feature_id 23 batch_size 2464 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 100,1070,23,2464,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,100,0.12,186,0,None,i7175,186,677.36328125,676.7379092261905,-1,0.27633644859813083,4640122
1745423926,1745424237,311,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 944 feature_id 12 batch_size 1771 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 97,944,12,1771,str\(\'H\'\),3,str\(\'stdev\'\),0.999,97,0.11,225,0,None,i7172,225,687.28515625,637.63375,-1,0.13241121495327102,4641571
1745424512,1745424801,289,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2437 feature_id 1 batch_size 891 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.41613935244692124 subsets 1,2437,1,891,str\(\'KL\'\),1,str\(\'stdev\'\),0.41613935244692124,1,0.17,265,0,None,i7175,265,687.3984375,687.1912715517242,-1,0.9743426791277259,4641903
1745425058,1745425276,218,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1596 feature_id 8 batch_size 2412 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.09159623281146675 subsets 20,1596,8,2412,str\(\'KL\'\),1,str\(\'tstat\'\),0.09159623281146675,20,0.1,190,0,None,i7175,190,687.9140625,687.8828125,-1,0.18033644859813083,4642305
1745425770,1745425976,206,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2697 feature_id 3 batch_size 4878 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.21064422543523179 subsets 30,2697,3,4878,str\(\'H\'\),1,str\(\'stdev\'\),0.21064422543523179,30,0.16,196,0,None,i7176,196,687.46484375,687.4382102272727,-1,0.40058566978193144,4642937
1745426162,1745426425,263,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 31 feature_id 10 batch_size 1627 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,31,10,1627,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,1,0.15,254,0,None,i7177,254,687.29296875,686.0725446428571,-1,0.9685233644859813,4643252
1745426622,1745426808,186,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1424 feature_id 10 batch_size 66 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 24,1424,10,66,str\(\'H\'\),1,str\(\'tstat\'\),0.999,24,0.14,177,0,None,i7178,177,687.6796875,687.6462890625,-1,0.3427165109034268,4643622
1745427123,1745427406,283,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3164 feature_id 3 batch_size 472 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,3164,3,472,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,0.17,267,0,None,i7175,267,688.61328125,688.6008890086207,-1,0.9749657320872274,4644031
1745427570,1745427814,244,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2580 feature_id 1 batch_size 11 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,2580,1,11,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,0.17,233,0,None,i7178,233,689.13671875,688.7436899038462,-1,0.8815451713395639,4644367
1745428020,1745428213,193,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1981 feature_id 4 batch_size 3166 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.5963111804569254 subsets 8,1981,4,3166,str\(\'H\'\),1,str\(\'tstat\'\),0.5963111804569254,8,0.15,184,0,None,i7178,184,689.01171875,688.9728422619048,-1,0.3550654205607477,4644701
1745428473,1745428900,427,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3434 feature_id 4 batch_size 1916 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,3434,4,1916,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,1,0.17,409,0,None,i7186,409,688.3125,688.3003270348837,-1,0.953981308411215,4645050
1745428982,1745429086,104,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2085 feature_id 26 batch_size 2614 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.43461722590676455 subsets 40,2085,26,2614,str\(\'H\'\),3,str\(\'tstat\'\),0.43461722590676455,40,0.22,93,0,None,i7186,93,688.46484375,688.3899739583334,-1,0.13029283489096574,4645445
1745429424,1745429625,201,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3624 feature_id 3 batch_size 2407 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.6619872493971871 subsets 11,3624,3,2407,str\(\'H\'\),1,str\(\'stdev\'\),0.6619872493971871,11,0.16,190,0,None,i7185,190,688.796875,688.7768110795455,-1,0.26994392523364485,4645830
1745429911,1745430085,174,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1118 feature_id 3 batch_size 3725 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.9255962789622971 subsets 28,1118,3,3725,str\(\'KL\'\),1,str\(\'stdev\'\),0.9255962789622971,28,0.15,160,0,None,i7183,160,687.91015625,686.1147203947369,-1,0.1607601246105919,4646287
1745430405,1745430620,215,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 366 feature_id 13 batch_size 2518 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 100,366,13,2518,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,100,0.17,203,0,None,i7182,203,688.2265625,688.1795176630435,-1,0.18826168224299064,4646712
1745430871,1745431046,175,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4306 feature_id 4 batch_size 3445 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.6878475723314567 subsets 8,4306,4,3445,str\(\'H\'\),1,str\(\'stdev\'\),0.6878475723314567,8,0.12,161,0,None,i7180,161,687.76171875,685.2284128289474,-1,0.12878504672897195,4647191
1745431364,1745431566,202,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 392 feature_id 4 batch_size 4118 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.661445999310827 subsets 88,392,4,4118,str\(\'H\'\),3,str\(\'stdev\'\),0.661445999310827,88,0.15,187,0,None,i7178,187,687.5078125,687.1573660714286,-1,0.15394392523364486,4647677
1745431865,1745432066,201,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 744 feature_id 10 batch_size 3303 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 93,744,10,3303,str\(\'H\'\),3,str\(\'stdev\'\),0.999,93,0.13,185,0,None,i7175,185,687.65234375,687.1902901785714,-1,0.2881121495327103,4648139
1745432435,1745432667,232,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1049 feature_id 4 batch_size 3949 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 95,1049,4,3949,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,95,0.16,215,0,None,i7174,215,688.79296875,688.75341796875,-1,0.2952523364485981,4648618
1745432893,1745433077,184,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 959 feature_id 3 batch_size 2412 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.5621911505214108 subsets 14,959,3,2412,str\(\'KL\'\),1,str\(\'tstat\'\),0.5621911505214108,14,0.16,166,0,None,i7173,166,688.703125,688.6663240131579,-1,0.210392523364486,4648974
1745433456,1745433648,192,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 993 feature_id 4 batch_size 1583 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 100,993,4,1583,str\(\'H\'\),3,str\(\'tstat\'\),0.999,100,0.15,178,0,None,i7180,178,688.703125,686.3197265625,-1,0.29070404984423676,4649381
1745433922,1745434154,232,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2268 feature_id 10 batch_size 3599 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.6293483478811008 subsets 5,2268,10,3599,str\(\'KL\'\),1,str\(\'tstat\'\),0.6293483478811008,5,0.15,216,0,None,i7186,216,688.7265625,688.69580078125,-1,0.5830155763239876,4649707
1745434364,1745434573,209,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 903 feature_id 4 batch_size 126 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.3613106829048762 subsets 29,903,4,126,str\(\'H\'\),1,str\(\'tstat\'\),0.3613106829048762,29,0.15,186,0,None,i7183,186,688.95703125,688.917224702381,-1,0.17899065420560747,4650030
1745434858,1745434999,141,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1268 feature_id 0 batch_size 540 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.49302341937521715 subsets 1,1268,0,540,str\(\'KL\'\),1,str\(\'stdev\'\),0.49302341937521715,1,0.19,125,0,None,i7174,125,687.2578125,687.2268229166667,-1,0.9709781931464174,4650403
1745435558,1745435674,116,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1603 feature_id 26 batch_size 3445 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.8111643254443153 subsets 86,1603,26,3445,str\(\'H\'\),3,str\(\'stdev\'\),0.8111643254443153,86,0.22,99,0,None,i7175,99,688.76171875,688.55078125,-1,0.17171339563862928,4650923
1745435951,1745436175,224,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1503 feature_id 2 batch_size 3776 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.7197428461890207 subsets 4,1503,2,3776,str\(\'KL\'\),1,str\(\'stdev\'\),0.7197428461890207,4,0.1,205,0,None,i7174,205,688.94921875,688.918308423913,-1,0.4234766355140187,4651217
1745436521,1745436857,336,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4382 feature_id 4 batch_size 3855 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 2,4382,4,3855,str\(\'H\'\),2,str\(\'tstat\'\),0.001,2,0.16,313,0,None,i7186,313,688.76953125,688.7256433823529,-1,0.4554641744548287,4651622
1745437051,1745437246,195,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 338 feature_id 9 batch_size 3906 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 2,338,9,3906,str\(\'H\'\),3,str\(\'stdev\'\),0.999,2,0.17,178,0,None,i7186,178,689.0546875,689.0203125,-1,0.14601869158878505,4651989
1745437549,1745437710,161,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3056 feature_id 1 batch_size 432 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 18,3056,1,432,str\(\'H\'\),3,str\(\'tstat\'\),0.001,18,0.12,143,0,None,i7183,143,687.37890625,687.3283547794117,-1,0.08074766355140187,4652391
1745438011,1745438155,144,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 172 feature_id 26 batch_size 104 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.18650481642333075 subsets 100,172,26,104,str\(\'H\'\),3,str\(\'tstat\'\),0.18650481642333075,100,0.22,126,0,None,i7185,126,687.3359375,687.2885416666667,-1,0.1723613707165109,4652757
1745438569,1745438850,281,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1491 feature_id 10 batch_size 565 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1491,10,565,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,0.15,265,0,None,i7180,265,687.9453125,687.9344019396551,-1,0.9748411214953271,4653263
1745439695,1745439895,200,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1918 feature_id 4 batch_size 413 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 100,1918,4,413,str\(\'H\'\),3,str\(\'stdev\'\),0.001,100,0.16,187,0,None,i7182,187,687.80859375,687.7699032738095,-1,0.23755763239875388,4654215
1745440119,1745440309,190,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3625 feature_id 23 batch_size 4685 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 44,3625,23,4685,str\(\'H\'\),3,str\(\'tstat\'\),0.999,44,0.13,176,0,None,i7175,176,687.37109375,687.2490234375,-1,0.3502803738317757,4654601
1745440673,1745440866,193,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4855 feature_id 13 batch_size 1620 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 18,4855,13,1620,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,18,0.18,179,0,None,i7175,179,687.87890625,687.8439453125,-1,0.116398753894081,4655073
1745441275,1745441456,181,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 837 feature_id 9 batch_size 2439 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 100,837,9,2439,str\(\'H\'\),3,str\(\'tstat\'\),0.001,100,0.18,169,0,None,i7175,169,687.55078125,686.3513569078947,-1,0.09117757009345795,4655544
1745441822,1745442010,188,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 578 feature_id 15 batch_size 649 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.31680739097540866 subsets 100,578,15,649,str\(\'H\'\),3,str\(\'tstat\'\),0.31680739097540866,100,0.1,170,0,None,i7182,170,688.859375,688.6759868421053,-1,0.008087227414330218,4655917
1745442371,1745442558,187,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2873 feature_id 14 batch_size 2193 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 100,2873,14,2193,str\(\'H\'\),3,str\(\'stdev\'\),0.999,100,0.11,174,0,None,i7178,174,688.11328125,688.0759765625,-1,0.19128971962616823,4656300
1745442914,1745443174,260,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4079 feature_id 14 batch_size 2107 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.575880499291234 subsets 65,4079,14,2107,str\(\'H\'\),3,str\(\'stdev\'\),0.575880499291234,65,0.12,241,0,None,i7175,241,688.16015625,688.1370081018518,-1,0.31506542056074766,4656666
1745443355,1745443688,333,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4113 feature_id 9 batch_size 2288 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 93,4113,9,2288,str\(\'H\'\),1,str\(\'stdev\'\),0.001,93,0.19,318,0,None,i7175,318,688.484375,688.4658777573529,-1,0.37424299065420563,4656965
1745443918,1745444062,144,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2027 feature_id 26 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 64,2027,26,5000,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,64,0.21,130,0,None,i7186,130,687.82421875,687.53828125,-1,0.24922118380062305,4657324
1745444506,1745444732,226,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1023 feature_id 3 batch_size 3844 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5110837277636485 subsets 98,1023,3,3844,str\(\'H\'\),1,str\(\'stdev\'\),0.5110837277636485,98,0.15,213,0,None,i7186,213,688.578125,688.5563151041666,-1,0.21459190031152647,4657708
1745445042,1745445302,260,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1091 feature_id 18 batch_size 439 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 48,1091,18,439,str\(\'H\'\),1,str\(\'stdev\'\),0.999,48,0.1,244,0,None,i7185,244,688.21484375,688.1945891203703,-1,0.21881619937694705,4658079
1745445544,1745445641,97,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 755 feature_id 0 batch_size 1002 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,755,0,1002,str\(\'H\'\),3,str\(\'stdev\'\),0.001,1,0.18,80,0,None,i7183,80,687.45703125,687.39609375,-1,0.2747538940809969,4658482
1745447414,1745447641,227,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3759 feature_id 21 batch_size 4 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,3759,21,4,str\(\'H\'\),3,str\(\'stdev\'\),0.001,1,0.1,213,0,None,i7180,213,689.1953125,689.1736653645834,-1,0.10109657320872274,4659902
1745447890,1745448133,243,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1227 feature_id 24 batch_size 1103 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1227,24,1103,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,0.1,228,0,None,i7178,228,688.1796875,688.12375,-1,0.5661059190031152,4660284
1745448475,1745448654,179,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 114 feature_id 13 batch_size 2383 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 10,114,13,2383,str\(\'H\'\),3,str\(\'stdev\'\),0.999,10,0.16,165,0,None,i7176,165,688.21875,687.8700657894736,-1,0.05938940809968847,4660782
1745448977,1745449211,234,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1336 feature_id 9 batch_size 3434 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 100,1336,9,3434,str\(\'H\'\),1,str\(\'tstat\'\),0.001,100,0.18,218,0,None,i7176,218,688.94921875,688.9111328125,-1,0.12837383177570094,4661146
1745449473,1745449659,186,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1876 feature_id 4 batch_size 4759 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 100,1876,4,4759,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,100,0.13,172,0,None,i7175,172,687.71875,687.4693359375,-1,0.17790654205607476,4661509
1745449994,1745450103,109,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1113 feature_id 26 batch_size 1293 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 100,1113,26,1293,str\(\'H\'\),3,str\(\'stdev\'\),0.001,100,0.21,92,0,None,i7175,92,688.328125,688.2789713541666,-1,0.24899688473520248,4661859
1745450531,1745450697,166,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1180 feature_id 9 batch_size 4975 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.5168593621629716 subsets 76,1180,9,4975,str\(\'H\'\),3,str\(\'tstat\'\),0.5168593621629716,76,0.13,154,0,None,i7175,154,689.109375,688.8975694444445,-1,0.12398753894080997,4662208
1745451112,1745451298,186,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3462 feature_id 4 batch_size 3234 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 85,3462,4,3234,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,85,0.15,171,0,None,i7175,171,689.1953125,689.1546875,-1,0.20149532710280374,4662582
1745451661,1745452050,389,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2979 feature_id 3 batch_size 3868 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,2979,3,3868,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,0.17,372,0,None,i7186,372,688.27734375,688.262890625,-1,0.9390778816199377,4662915
1745452271,1745452381,110,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2136 feature_id 26 batch_size 2961 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 46,2136,26,2961,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,46,0.21,99,0,None,i7175,99,687.6484375,687.5618489583334,-1,0.22138317757009346,4663320
1745452753,1745452889,136,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 481 feature_id 26 batch_size 773 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.6005040758096513 subsets 54,481,26,773,str\(\'H\'\),2,str\(\'stdev\'\),0.6005040758096513,54,0.21,120,0,None,i7186,120,688.0234375,687.9665178571429,-1,0.2119127725856698,4663643
1745453212,1745453383,171,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1581 feature_id 26 batch_size 1436 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.8843434636321471 subsets 1,1581,26,1436,str\(\'H\'\),2,str\(\'tstat\'\),0.8843434636321471,1,0.22,157,0,None,i7185,157,688.51953125,688.4615885416666,-1,0.48314018691588784,4663982
1745453771,1745453874,103,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3403 feature_id 26 batch_size 696 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.3054124453631255 subsets 51,3403,26,696,str\(\'H\'\),3,str\(\'tstat\'\),0.3054124453631255,51,0.22,89,0,None,i7180,89,689.26171875,689.1960227272727,-1,0.21682242990654205,4664341
1745454232,1745454427,195,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 6 feature_id 9 batch_size 4824 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.399952759612953 subsets 10,6,9,4824,str\(\'KL\'\),1,str\(\'stdev\'\),0.399952759612953,10,0.16,182,0,None,i7182,182,687.8828125,687.5690104166666,-1,0.09531464174454829,4664664
1745454581,1745454754,173,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1665 feature_id 26 batch_size 608 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1665,26,608,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,1,0.23,160,0,None,i7180,160,688.10546875,688.0830592105264,-1,0.967588785046729,4664944
1745455211,1745455396,185,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 88 feature_id 9 batch_size 3468 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 97,88,9,3468,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,97,0.18,177,0,None,i7183,177,687.44140625,687.405078125,-1,0.2592897196261682,4665374
1745455752,1745455944,192,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 132 feature_id 13 batch_size 3313 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 39,132,13,3313,str\(\'H\'\),3,str\(\'tstat\'\),0.999,39,0.16,179,0,None,i7175,179,687.953125,687.91171875,-1,0.33026791277258566,4665771
1745456332,1745456499,167,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 430 feature_id 10 batch_size 969 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 84,430,10,969,str\(\'H\'\),3,str\(\'tstat\'\),0.999,84,0.14,159,0,None,i7180,159,688.1484375,688.1080729166666,-1,0.2777196261682243,4666185
1745456973,1745457160,187,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2548 feature_id 10 batch_size 2812 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 35,2548,10,2812,str\(\'H\'\),1,str\(\'tstat\'\),0.001,35,0.14,173,0,None,i7182,173,689.11328125,689.07109375,-1,0.24528348909657322,4666673
1745457552,1745457752,200,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3194 feature_id 9 batch_size 203 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 1,3194,9,203,str\(\'H\'\),3,str\(\'tstat\'\),0.999,1,0.2,191,0,None,i7176,191,688.62109375,688.5854048295455,-1,0.26560747663551404,4667093
1745458366,1745458543,177,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 847 feature_id 9 batch_size 4720 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 87,847,9,4720,str\(\'H\'\),3,str\(\'stdev\'\),0.001,87,0.17,163,0,None,i7174,163,688.31640625,687.370271381579,-1,0.23526479750778817,4667640
1745458773,1745458965,192,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2197 feature_id 4 batch_size 1649 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 26,2197,4,1649,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,26,0.14,179,0,None,i7175,179,688.59765625,688.5623046875,-1,0.2627663551401869,4667887
1745459293,1745459506,213,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2369 feature_id 4 batch_size 1922 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.5727367877308657 subsets 52,2369,4,1922,str\(\'H\'\),3,str\(\'stdev\'\),0.5727367877308657,52,0.16,197,0,None,i7186,197,687.6875,687.6496803977273,-1,0.23854205607476636,4668204
1745459774,1745459912,138,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4573 feature_id 0 batch_size 1740 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.2915656285308297 subsets 1,4573,0,1740,str\(\'H\'\),2,str\(\'stdev\'\),0.2915656285308297,1,0.18,124,0,None,i7186,124,687.984375,687.91953125,-1,0.4770093457943925,4668499
1745460404,1745460695,291,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3077 feature_id 6 batch_size 91 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,3077,6,91,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,0.1,273,0,None,i7186,273,688.109375,687.9473958333333,-1,0,4668864
1745461033,1745461148,115,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 293 feature_id 26 batch_size 665 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 41,293,26,665,str\(\'H\'\),1,str\(\'stdev\'\),0.999,41,0.22,104,0,None,i7175,104,687.44140625,687.3966346153846,-1,0.3066043613707165,4669273
1745461543,1745461663,120,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3751 feature_id 26 batch_size 2708 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,3751,26,2708,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,1,0.22,107,0,None,i7183,107,688.1796875,688.10546875,-1,0.48125856697819314,4669624
1745462134,1745462307,173,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 398 feature_id 26 batch_size 1406 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.8033134786627336 subsets 100,398,26,1406,str\(\'KL\'\),2,str\(\'stdev\'\),0.8033134786627336,100,0.21,161,0,None,i7183,161,687.390625,687.33203125,-1,0.15029283489096573,4670057
1745462754,1745462926,172,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 471 feature_id 3 batch_size 2440 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 95,471,3,2440,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,95,0.15,158,0,None,i7182,158,687.40625,687.3634982638889,-1,0.18242990654205607,4670502
1745463256,1745463347,91,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4647 feature_id 0 batch_size 2257 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 1,4647,0,2257,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,1,0.17,76,0,None,i7182,76,687.73046875,687.653515625,-1,0.2531214953271028,4670841
1745463894,1745464086,192,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 156 feature_id 13 batch_size 507 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 49,156,13,507,str\(\'H\'\),3,str\(\'tstat\'\),0.001,49,0.17,180,0,None,i7183,180,688.83203125,688.7963169642857,-1,0.18953271028037383,4671294
1745464604,1745464732,128,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 26 batch_size 2197 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.07916539855731353 subsets 1,1,26,2197,str\(\'KL\'\),2,str\(\'stdev\'\),0.07916539855731353,1,0.22,115,0,None,i7178,115,688.66796875,688.6124441964286,-1,0.4678753894080997,4671787
1745465415,1745465783,368,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3127 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,3127,13,1,str\(\'H\'\),2,str\(\'stdev\'\),0.999,1,0.17,355,0,None,i7178,355,693.3984375,689.8421052631579,-1,0.24370093457943925,4672368
1745466035,1745466155,120,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4035 feature_id 26 batch_size 760 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.6233859102914556 subsets 1,4035,26,760,str\(\'H\'\),2,str\(\'stdev\'\),0.6233859102914556,1,0.22,107,0,None,i7175,107,688.109375,688.0513822115385,-1,0.4864922118380062,4672801
1745466576,1745466813,237,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 55 feature_id 9 batch_size 1339 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,55,9,1339,str\(\'H\'\),2,str\(\'tstat\'\),0.999,1,0.2,229,0,None,i7175,229,687.39453125,687.361875,-1,0.4838753894080997,4673160
1745467305,1745467465,160,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 0 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 100,1,0,1,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,100,0.18,147,0,None,i7175,147,690.21875,687.5096507352941,-1,0.24376323987538942,4673622
1745467895,1745467992,97,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 359 feature_id 0 batch_size 4995 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,359,0,4995,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,1,0.17,81,0,None,i7175,81,687.90234375,687.8327414772727,-1,0.31121495327102805,4673973
1745468576,1745468686,110,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2894 feature_id 26 batch_size 1671 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.7697458713997379 subsets 28,2894,26,1671,str\(\'KL\'\),2,str\(\'stdev\'\),0.7697458713997379,28,0.21,101,0,None,i7185,101,688.234375,687.9393028846154,-1,0.10002492211838006,4674365
1745469196,1745469321,125,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 0 batch_size 85 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.10826248743730484 subsets 1,1,0,85,str\(\'KL\'\),2,str\(\'tstat\'\),0.10826248743730484,1,0.18,109,0,None,i7186,109,689.29296875,689.2199519230769,-1,0.48722741433021804,4674725
1745469795,1745470026,231,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2933 feature_id 9 batch_size 4723 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 1,2933,9,4723,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,1,0.19,215,0,None,i7183,215,686.046875,686.0094401041666,-1,0.4459190031152648,4675114
1745471237,1745471409,172,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4335 feature_id 26 batch_size 2131 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.44880733553673485 subsets 4,4335,26,2131,str\(\'H\'\),2,str\(\'stdev\'\),0.44880733553673485,4,0.22,157,0,None,i7186,157,687.62109375,687.5716145833334,-1,0.45142679127725854,4676050
1745471617,1745471851,234,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 134 feature_id 1 batch_size 2021 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.3077316101581767 subsets 65,134,1,2021,str\(\'H\'\),1,str\(\'stdev\'\),0.3077316101581767,65,0.15,219,0,None,i7186,219,687.82421875,687.8040364583334,-1,0.3022056074766355,4676293
1745472166,1745472355,189,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3459 feature_id 3 batch_size 4348 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 12,3459,3,4348,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,12,0.16,174,0,None,i7182,174,687.3203125,687.2841796875,-1,0.27090342679127727,4676650
1745472707,1745472963,256,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2150 feature_id 3 batch_size 1541 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.7342158133655012 subsets 62,2150,3,1541,str\(\'KL\'\),2,str\(\'tstat\'\),0.7342158133655012,62,0.16,239,0,None,i7186,239,687.93359375,687.880859375,-1,0.2055202492211838,4676963
1745473307,1745473632,325,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1150 feature_id 9 batch_size 1244 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1150,9,1244,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,0.2,310,0,None,i7180,310,687.69921875,687.6866714015151,-1,0.967190031152648,4677350
1745473997,1745474160,163,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4984 feature_id 3 batch_size 747 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 32,4984,3,747,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,32,0.16,149,0,None,i7176,149,688.546875,688.5149356617648,-1,0.2885607476635514,4677805
1745474718,1745474930,212,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2780 feature_id 13 batch_size 687 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.5565013582847522 subsets 9,2780,13,687,str\(\'KL\'\),3,str\(\'tstat\'\),0.5565013582847522,9,0.18,196,0,None,i7176,196,687.984375,687.9403409090909,-1,0.2747165109034268,4678277
1745475437,1745475671,234,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 622 feature_id 13 batch_size 351 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 82,622,13,351,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,82,0.18,223,0,None,i7186,223,687.03515625,687.01296875,-1,0.2799252336448598,4678706
1745475977,1745476072,95,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2910 feature_id 26 batch_size 4117 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 33,2910,26,4117,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,33,0.21,80,0,None,i7181,80,688.23046875,685.3959517045455,-1,0.02639252336448598,4678985
1745476728,1745476925,197,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 235 feature_id 4 batch_size 201 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 53,235,4,201,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,53,0.11,185,0,None,i7186,185,687.3125,687.276599702381,-1,0.09531464174454829,4679366
1745477299,1745477425,126,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 747 feature_id 0 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 100,747,0,5000,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,100,0.17,111,0,None,i7186,111,688.8984375,688.8423549107143,-1,0.3115264797507788,4679670
1745477919,1745478157,238,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 659 feature_id 9 batch_size 4993 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,659,9,4993,str\(\'H\'\),2,str\(\'stdev\'\),0.999,1,0.19,229,0,None,i7183,229,688.2890625,688.25078125,-1,0.4728348909657321,4680053
1745478519,1745478650,131,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 26 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1,26,5000,str\(\'H\'\),3,str\(\'tstat\'\),0.999,100,0.21,117,0,None,i7185,117,688.2734375,687.7670200892857,-1,0.24922118380062305,4680420
1745479120,1745479335,215,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4824 feature_id 3 batch_size 2930 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.5543495022786408 subsets 6,4824,3,2930,str\(\'H\'\),3,str\(\'stdev\'\),0.5543495022786408,6,0.15,200,0,None,i7185,200,688.5234375,688.4897017045455,-1,0.25557632398753893,4680789
1745479638,1745479772,134,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2053 feature_id 26 batch_size 3404 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,2053,26,3404,str\(\'H\'\),2,str\(\'tstat\'\),0.999,1,0.22,123,0,None,i7183,123,687.93359375,687.86328125,-1,0.48409968847352025,4681083
1745480859,1745481019,160,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4969 feature_id 9 batch_size 4974 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.2793794377827669 subsets 2,4969,9,4974,str\(\'KL\'\),3,str\(\'tstat\'\),0.2793794377827669,2,0.13,150,0,None,i7181,150,688.74609375,688.4892003676471,-1,0.1239626168224299,4682374
1745480239,1745481311,1072,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1372 feature_id 26 batch_size 116 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.6108808684779236 subsets 100,1372,26,116,str\(\'KL\'\),2,str\(\'stdev\'\),0.6108808684779236,100,0.22,1062,0,None,i7182,1062,688.6328125,688.1311998279816,-1,0.22404984423676014,4681733
1745481651,1745481863,212,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2451 feature_id 3 batch_size 29 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 100,2451,3,29,str\(\'H\'\),3,str\(\'stdev\'\),0.999,100,0.16,197,0,None,i7180,197,688.9140625,686.9991122159091,-1,0.12722741433021806,4682654
1745482318,1745482592,274,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1151 feature_id 26 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1151,26,1,str\(\'H\'\),2,str\(\'tstat\'\),0.001,1,0.21,264,0,None,i7178,264,694.1328125,690.393588362069,-1,0.24174454828660435,4682880
1745484234,1745484355,121,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 26 batch_size 715 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 4,1,26,715,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,4,0.22,106,0,None,i7176,106,688.45703125,687.1123798076923,-1,0.42057320872274145,4683520
1745484866,1745485068,202,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 855 feature_id 1 batch_size 4972 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 11,855,1,4972,str\(\'H\'\),2,str\(\'tstat\'\),0.999,11,0.13,174,0,None,i7185,174,687.69921875,687.6220703125,-1,0.24782554517133956,4683728
1745485287,1745485503,216,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2008 feature_id 4 batch_size 70 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 1,2008,4,70,str\(\'H\'\),2,str\(\'stdev\'\),0.001,1,0.17,202,0,None,i7183,202,688.7890625,688.7501698369565,-1,0.4775202492211838,4683878
1745485708,1745485881,173,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 421 feature_id 3 batch_size 4968 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 81,421,3,4968,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,81,0.15,159,0,None,i7183,159,687.48046875,687.4259982638889,-1,0.24762616822429906,4684017
1745486219,1745486376,157,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3893 feature_id 26 batch_size 3744 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,3893,26,3744,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,1,0.22,143,0,None,i7185,143,687.59765625,687.5418198529412,-1,0.4882866043613707,4684184
1745486911,1745487229,318,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3759 feature_id 4 batch_size 425 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 94,3759,4,425,str\(\'H\'\),2,str\(\'stdev\'\),0.999,94,0.16,307,0,None,i7182,307,689.22265625,689.189512310606,-1,0.13769470404984424,4684429
1745487632,1745487766,134,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4803 feature_id 26 batch_size 1520 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 89,4803,26,1520,str\(\'H\'\),2,str\(\'tstat\'\),0.001,89,0.22,120,0,None,i7182,120,688.99609375,688.6552083333333,-1,0.08873520249221184,4684673
1745488323,1745488552,229,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 154 feature_id 4 batch_size 4190 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,154,4,4190,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,100,0.15,219,0,None,i7181,219,688.4765625,688.380859375,-1,0.31327102803738316,4684904
1745488926,1745489073,147,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 276 feature_id 3 batch_size 3328 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.016571876435902976 subsets 65,276,3,3328,str\(\'KL\'\),3,str\(\'tstat\'\),0.016571876435902976,65,0.15,135,0,None,i7181,135,687.4296875,687.072998046875,-1,0.1658816199376947,4685105
1745489438,1745489533,95,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1249 feature_id 0 batch_size 777 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.17669055511095064 subsets 50,1249,0,777,str\(\'KL\'\),2,str\(\'tstat\'\),0.17669055511095064,50,0.18,80,0,None,i7180,80,688.5625,688.462890625,-1,0.24205607476635513,4685277
1745489859,1745490135,276,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4359 feature_id 1 batch_size 4892 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.10395021818078423 subsets 83,4359,1,4892,str\(\'KL\'\),1,str\(\'stdev\'\),0.10395021818078423,83,0.15,261,0,None,i7186,261,688.09375,688.0563038793103,-1,0.304797507788162,4685413
1745490475,1745490571,96,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 901 feature_id 0 batch_size 1491 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,901,0,1491,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,1,0.18,81,0,None,i7181,81,688.18359375,688.0987215909091,-1,0.48306542056074764,4685619
1745491008,1745491209,201,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3874 feature_id 3 batch_size 269 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 42,3874,3,269,str\(\'H\'\),3,str\(\'tstat\'\),0.999,42,0.16,186,0,None,i7186,186,687.2578125,687.2230282738095,-1,0.2801246105919003,4685794
1745491554,1745491754,200,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4427 feature_id 9 batch_size 353 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 84,4427,9,353,str\(\'H\'\),3,str\(\'tstat\'\),0.001,84,0.19,185,0,None,i7186,185,688.76953125,688.7247023809524,-1,0.1407601246105919,4685978
1745492297,1745492724,427,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 944 feature_id 13 batch_size 1331 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,944,13,1331,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,0.17,406,0,None,i7180,406,687.44921875,670.4841024709302,-1,0.4146417445482866,4686231
1745492960,1745493126,166,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 193 feature_id 3 batch_size 2748 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 27,193,3,2748,str\(\'H\'\),3,str\(\'tstat\'\),0.999,27,0.16,149,0,None,i7181,149,688.3125,688.2690716911765,-1,0.27394392523364486,4686450
1745493807,1745494026,219,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 184 feature_id 13 batch_size 2165 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 100,184,13,2165,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,100,0.17,202,0,None,i7186,202,687.85546875,686.3505434782609,-1,0.10791277258566978,4686723
1745494834,1745495150,316,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3874 feature_id 9 batch_size 862 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 89,3874,9,862,str\(\'H\'\),2,str\(\'tstat\'\),0.999,89,0.19,295,0,None,i7176,295,688.29296875,688.260498046875,-1,0.29001869158878507,4687073
1745495517,1745495644,127,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2575 feature_id 26 batch_size 855 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.2729636301384001 subsets 41,2575,26,855,str\(\'H\'\),1,str\(\'tstat\'\),0.2729636301384001,41,0.22,111,0,None,i7176,111,689.34375,688.6755022321429,-1,0.37995015576323987,4687306
1745495997,1745496182,185,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2187 feature_id 9 batch_size 1227 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.1352964522617302 subsets 66,2187,9,1227,str\(\'H\'\),2,str\(\'tstat\'\),0.1352964522617302,66,0.18,173,0,None,i7181,173,688.79296875,688.7423828125,-1,0.16818691588785048,4687466
1745498036,1745498262,226,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1034 feature_id 13 batch_size 2096 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 37,1034,13,2096,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,37,0.18,211,0,None,i7186,211,688.703125,688.6754557291666,-1,0.262392523364486,4688143
1745498454,1745498544,90,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 489 feature_id 26 batch_size 1313 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 1,489,26,1313,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,1,0.21,80,0,None,i7175,80,688.39453125,688.31015625,-1,0.10598130841121495,4688291
1745498907,1745498990,83,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4201 feature_id 0 batch_size 3975 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,4201,0,3975,str\(\'H\'\),3,str\(\'stdev\'\),0.001,1,0.17,73,0,None,i7181,73,689.00390625,688.942578125,-1,0.297196261682243,4688456
1745499086,1745499190,104,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3743 feature_id 0 batch_size 3128 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 1,3743,0,3128,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,1,0.18,94,0,None,i7180,94,688.5625,688.4918619791666,-1,0.48180685358255454,4688630
1745499131,1745499384,253,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 129 feature_id 9 batch_size 4886 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 98,129,9,4886,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,98,0.18,189,0,None,i7174,189,683.07421875,668.9017857142857,-1,0.21862928348909658,4688796
1745499537,1745499662,125,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1896 feature_id 26 batch_size 1392 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 100,1896,26,1392,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,100,0.21,110,0,None,i7186,110,687.625,687.3356370192307,-1,0.04447352024922118,4688980
1745500162,1745500285,123,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 293 feature_id 26 batch_size 1740 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.7447650838782947 subsets 43,293,26,1740,str\(\'KL\'\),2,str\(\'tstat\'\),0.7447650838782947,43,0.22,111,0,None,i7186,111,688.69140625,688.6141183035714,-1,0.3003239875389408,4689252
1745500823,1745501057,234,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2529 feature_id 13 batch_size 922 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 15,2529,13,922,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,15,0.18,221,0,None,i7185,221,688.84375,688.80453125,-1,0.27573831775700935,4689512
1745501546,1745501965,419,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1053 feature_id 9 batch_size 167 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.4924433726217109 subsets 70,1053,9,167,str\(\'H\'\),1,str\(\'stdev\'\),0.4924433726217109,70,0.2,409,0,None,i7183,409,688.77734375,688.7664425872093,-1,0.29764485981308414,4689785
1745502143,1745502509,366,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 693 feature_id 9 batch_size 608 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.050791437798220845 subsets 87,693,9,608,str\(\'H\'\),2,str\(\'stdev\'\),0.050791437798220845,87,0.19,355,0,None,i7183,355,687.796875,687.7731291118421,-1,0.25759501557632397,4690099
1745502719,1745502940,221,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4125 feature_id 26 batch_size 454 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 74,4125,26,454,str\(\'H\'\),2,str\(\'tstat\'\),0.999,74,0.22,205,0,None,i7182,205,687.4296875,687.3790760869565,-1,0.25457943925233645,4690404
1745503428,1745503525,97,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1311 feature_id 0 batch_size 1385 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 2,1311,0,1385,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,2,0.19,82,0,None,i7181,82,688.8125,688.2443181818181,-1,0.4832398753894081,4690769
1745504037,1745504179,142,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1508 feature_id 26 batch_size 600 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1508,26,600,str\(\'H\'\),2,str\(\'stdev\'\),0.999,1,0.22,129,0,None,i7182,129,687.2890625,687.22578125,-1,0.48598130841121495,4691102
1745504817,1745504927,110,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2204 feature_id 0 batch_size 1043 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 63,2204,0,1043,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,63,0.18,99,0,None,i7181,99,687.8515625,687.7591145833334,-1,0.1960373831775701,4691535
1745505545,1745505739,194,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2505 feature_id 9 batch_size 3340 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 11,2505,9,3340,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,11,0.18,185,0,None,i7181,185,688.19140625,688.1404389880952,-1,0.1664797507788162,4691916
1745506407,1745506640,233,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3386 feature_id 26 batch_size 199 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.8363343834045373 subsets 69,3386,26,199,str\(\'H\'\),2,str\(\'tstat\'\),0.8363343834045373,69,0.22,221,0,None,i7176,221,687.80078125,687.74984375,-1,0.23050467289719626,4692379
1745507152,1745507279,127,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1333 feature_id 26 batch_size 5000 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1333,26,5000,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,100,0.21,110,0,None,i7176,110,688.859375,688.3641183035714,-1,0.24922118380062305,4692799
1745508096,1745508198,102,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1238 feature_id 26 batch_size 2336 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.6324779070902434 subsets 44,1238,26,2336,str\(\'H\'\),1,str\(\'tstat\'\),0.6324779070902434,44,0.21,90,0,None,i7183,90,689.78515625,689.5361328125,-1,0.12063551401869159,4693304
1745508749,1745508931,182,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3473 feature_id 26 batch_size 4558 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.3623616583090422 subsets 1,3473,26,4558,str\(\'H\'\),1,str\(\'stdev\'\),0.3623616583090422,1,0.22,166,0,None,i7186,166,688.1953125,687.0869654605264,-1,0.9406479750778817,4693724
1745509466,1745509623,157,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2922 feature_id 26 batch_size 3810 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.2895161671168981 subsets 1,2922,26,3810,str\(\'H\'\),2,str\(\'stdev\'\),0.2895161671168981,1,0.22,144,0,None,i7185,144,688.7734375,688.7210477941177,-1,0.49733333333333335,4694076
1745510338,1745510496,158,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3107 feature_id 26 batch_size 4839 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.5665863382447085 subsets 54,3107,26,4839,str\(\'KL\'\),2,str\(\'tstat\'\),0.5665863382447085,54,0.22,142,0,None,i7186,142,688.4765625,688.3910845588235,-1,0.30149532710280375,4694526
1745511026,1745511296,270,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1257 feature_id 9 batch_size 857 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 3,1257,9,857,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,3,0.2,256,0,None,i7182,256,689.3984375,689.3243582589286,-1,0.4770093457943925,4694884
1745511718,1745511892,174,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1723 feature_id 26 batch_size 5000 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 100,1723,26,5000,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,100,0.22,162,0,None,i7181,162,688.625,688.5970394736842,-1,0.4112274143302181,4695254
1745512165,1745512326,161,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2842 feature_id 26 batch_size 985 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,2842,26,985,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,0.23,149,0,None,i7181,149,687.59765625,687.5767463235294,-1,0.9692959501557632,4695475
1745512826,1745512902,76,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3510 feature_id 0 batch_size 4246 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 53,3510,0,4246,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,53,0.14,63,0,None,i7175,63,688.6640625,688.4461805555555,-1,0.15872897196261682,4695833
1745513579,1745513689,110,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4555 feature_id 0 batch_size 2997 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,4555,0,2997,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,1,0.18,98,0,None,i7181,98,688.2578125,688.1695963541666,-1,0.46058566978193144,4696246
1745514473,1745514595,122,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1083 feature_id 26 batch_size 1090 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.42559697983212386 subsets 56,1083,26,1090,str\(\'H\'\),2,str\(\'tstat\'\),0.42559697983212386,56,0.21,103,0,None,i7180,103,689.28125,689.1968149038462,-1,0.20373831775700935,4696666
1745515246,1745515401,155,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2903 feature_id 0 batch_size 844 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 70,2903,0,844,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,70,0.18,143,0,None,i7180,143,688.49609375,688.4306066176471,-1,0.2839626168224299,4697055
1745515983,1745516143,160,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1308 feature_id 0 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1308,0,1,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,1,0.18,143,0,None,i7176,143,693.171875,690.2511488970588,-1,0.24376323987538942,4697464
1745516729,1745516931,202,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4626 feature_id 9 batch_size 2498 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 100,4626,9,2498,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,100,0.18,182,0,None,i7183,182,687.30078125,687.253162202381,-1,0.24902180685358255,4697831
1745517549,1745517722,173,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2988 feature_id 26 batch_size 3559 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.3101676628179522 subsets 1,2988,26,3559,str\(\'H\'\),1,str\(\'stdev\'\),0.3101676628179522,1,0.23,159,0,None,i7183,159,687.63671875,687.6150173611111,-1,0.9507663551401869,4698219
1745518270,1745518378,108,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2325 feature_id 26 batch_size 1417 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.6046148787988304 subsets 1,2325,26,1417,str\(\'H\'\),3,str\(\'tstat\'\),0.6046148787988304,1,0.21,93,0,None,i7182,93,687.90234375,687.8157552083334,-1,0.1693208722741433,4698540
1745518990,1745519113,123,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1970 feature_id 0 batch_size 4757 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.9399647431469383 subsets 1,1970,0,4757,str\(\'KL\'\),2,str\(\'stdev\'\),0.9399647431469383,1,0.18,113,0,None,i7182,113,688.203125,688.13671875,-1,0.4493084112149533,4698863
1745519731,1745520135,404,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2013 feature_id 4 batch_size 790 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.9234569000026872 subsets 94,2013,4,790,str\(\'KL\'\),1,str\(\'tstat\'\),0.9234569000026872,94,0.16,389,0,None,i7186,389,687.78125,687.7599085365854,-1,0.3445482866043614,4699210
1745520481,1745520647,166,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 462 feature_id 3 batch_size 4885 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.4760747944128341 subsets 1,462,3,4885,str\(\'KL\'\),3,str\(\'tstat\'\),0.4760747944128341,1,0.15,155,0,None,i7181,155,688.125,688.0748697916666,-1,0.24348909657320872,4699601
1745521171,1745521288,117,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3864 feature_id 26 batch_size 3309 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 46,3864,26,3309,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,46,0.22,102,0,None,i7181,102,688.1875,687.87109375,-1,0.14002492211838005,4699960
1745521812,1745522070,258,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2551 feature_id 13 batch_size 2660 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 100,2551,13,2660,str\(\'H\'\),2,str\(\'tstat\'\),0.999,100,0.17,242,0,None,i7181,242,688.51953125,688.4668692129629,-1,0.1988785046728972,4700303
1745522453,1745522688,235,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 959 feature_id 9 batch_size 2583 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,959,9,2583,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,1,0.18,221,0,None,i7185,221,687.91796875,687.88625,-1,0.25749532710280376,4700622
1745523172,1745523385,213,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3695 feature_id 9 batch_size 2972 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 100,3695,9,2972,str\(\'H\'\),2,str\(\'stdev\'\),0.999,100,0.18,201,0,None,i7180,201,687.734375,687.683254076087,-1,0.14813707165109033,4700992
1745523936,1745524108,172,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3931 feature_id 13 batch_size 2662 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 1,3931,13,2662,str\(\'H\'\),3,str\(\'tstat\'\),0.001,1,0.16,160,0,None,i7176,160,687.53515625,686.1781684027778,-1,0.13268535825545172,4701405
1745524892,1745525022,130,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1988 feature_id 26 batch_size 1739 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.9158757799034212 subsets 57,1988,26,1739,str\(\'KL\'\),2,str\(\'stdev\'\),0.9158757799034212,57,0.21,119,0,None,i7182,119,688.77734375,688.7008928571429,-1,0.256797507788162,4701945
1745525460,1745525626,166,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 521 feature_id 9 batch_size 4877 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.19697015874382565 subsets 51,521,9,4877,str\(\'KL\'\),2,str\(\'tstat\'\),0.19697015874382565,51,0.14,153,0,None,i7176,153,687.85546875,687.5963541666666,-1,0.12154517133956386,4702221
1745526182,1745526316,134,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 118 feature_id 26 batch_size 2749 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 79,118,26,2749,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,79,0.22,120,0,None,i7176,120,688.3125,688.2472098214286,-1,0.30829906542056074,4702587
1745526872,1745527154,282,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 226 feature_id 13 batch_size 1065 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 85,226,13,1065,str\(\'H\'\),3,str\(\'tstat\'\),0.999,85,0.17,269,0,None,i7186,269,688.48046875,688.4519127155172,-1,0.3068660436137072,4702899
1745527654,1745527792,138,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1408 feature_id 0 batch_size 5000 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1408,0,5000,str\(\'H\'\),2,str\(\'tstat\'\),0.999,1,0.18,123,0,None,i7186,123,688.5546875,688.484375,-1,0.47353271028037386,4703253
1745528252,1745528589,337,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2770 feature_id 13 batch_size 2293 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,2770,13,2293,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,0.18,327,0,None,i7185,327,688.44140625,688.428125,-1,0.9465794392523365,4703543
1745528872,1745528981,109,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3836 feature_id 26 batch_size 2060 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 1,3836,26,2060,str\(\'H\'\),3,str\(\'tstat\'\),0.999,1,0.21,96,0,None,i7181,96,688.5546875,688.2268880208334,-1,0.12834890965732088,4703856
1745529483,1745529698,215,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4995 feature_id 13 batch_size 582 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 100,4995,13,582,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,100,0.17,202,0,None,i7185,202,687.0546875,687.023097826087,-1,0.21757009345794392,4704152
1745530292,1745530495,203,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 578 feature_id 26 batch_size 4303 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.04855956286535459 subsets 1,578,26,4303,str\(\'KL\'\),1,str\(\'stdev\'\),0.04855956286535459,1,0.22,186,0,None,i7185,186,688.80078125,688.7788318452381,-1,0.9402492211838006,4704542
1745531093,1745531306,213,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1013 feature_id 13 batch_size 579 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.4853981262756908 subsets 7,1013,13,579,str\(\'H\'\),2,str\(\'tstat\'\),0.4853981262756908,7,0.19,201,0,None,i7181,201,688.4375,688.3947010869565,-1,0.2741682242990654,4704923
1745531733,1745531864,131,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 405 feature_id 26 batch_size 1264 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.5059043202599929 subsets 1,405,26,1264,str\(\'KL\'\),3,str\(\'tstat\'\),0.5059043202599929,1,0.21,120,0,None,i7185,120,687.1484375,687.0906808035714,-1,0.2586043613707165,4705224
1745532512,1745532735,223,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2991 feature_id 13 batch_size 3107 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.08553291120525493 subsets 1,2991,13,3107,str\(\'H\'\),2,str\(\'tstat\'\),0.08553291120525493,1,0.17,210,0,None,i7180,210,688.90234375,688.8544921875,-1,0.478404984423676,4705603
1745533253,1745533362,109,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2961 feature_id 26 batch_size 1863 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.48462378806372874 subsets 100,2961,26,1863,str\(\'H\'\),3,str\(\'stdev\'\),0.48462378806372874,100,0.22,99,0,None,i7180,99,687.90625,687.8531901041666,-1,0.30009968847352025,4705993
1745533875,1745534034,159,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3617 feature_id 26 batch_size 2727 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.2822218036083061 subsets 1,3617,26,2727,str\(\'H\'\),1,str\(\'stdev\'\),0.2822218036083061,1,0.23,147,0,None,i7176,147,687.546875,687.5112591911765,-1,0.9605482866043614,4706307
1745534613,1745534727,114,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4866 feature_id 26 batch_size 2225 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.24678761845986705 subsets 46,4866,26,2225,str\(\'H\'\),2,str\(\'stdev\'\),0.24678761845986705,46,0.22,102,0,None,i7176,102,688.03125,687.9522235576923,-1,0.2772585669781931,4706660
1745535293,1745535404,111,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2466 feature_id 0 batch_size 1454 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.5038243322539497 subsets 1,2466,0,1454,str\(\'KL\'\),2,str\(\'tstat\'\),0.5038243322539497,1,0.18,96,0,None,i7182,96,689.359375,689.28125,-1,0.489196261682243,4707000
1745535783,1745535942,159,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 26 batch_size 892 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,26,892,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,0.23,148,0,None,i7183,148,689.21484375,689.1948529411765,-1,0.9643489096573209,4707227
1745536253,1745536426,173,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 26 batch_size 2349 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,26,2349,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,0.23,162,0,None,i7182,162,688.9453125,688.9111842105264,-1,0.9703052959501558,4707453
1745537013,1745537274,261,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2670 feature_id 13 batch_size 2624 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.04747005384239021 subsets 1,2670,13,2624,str\(\'KL\'\),2,str\(\'stdev\'\),0.04747005384239021,1,0.19,245,0,None,i7185,245,687.66015625,687.625144675926,-1,0.4655576323987539,4707813
1745538013,1745538207,194,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1170 feature_id 1 batch_size 3674 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 4,1170,1,3674,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,4,0.16,185,0,None,i7181,185,687.53515625,687.4867931547619,-1,0.3871277258566978,4708344
1745538954,1745539077,123,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4751 feature_id 26 batch_size 2468 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.9034885473031513 subsets 100,4751,26,2468,str\(\'H\'\),3,str\(\'tstat\'\),0.9034885473031513,100,0.22,113,0,None,i7181,113,687.58203125,687.5251116071429,-1,0.30753894080996885,4708789
1745539313,1745539473,160,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4323 feature_id 26 batch_size 3481 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.7946264710050533 subsets 100,4323,26,3481,str\(\'H\'\),1,str\(\'tstat\'\),0.7946264710050533,100,0.22,150,0,None,i7180,150,688.296875,687.8596047794117,-1,0.2787289719626168,4708961
1745539975,1745540091,116,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 798 feature_id 26 batch_size 1046 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.5605082502638988 subsets 19,798,26,1046,str\(\'H\'\),1,str\(\'tstat\'\),0.5605082502638988,19,0.21,104,0,None,i7182,104,687.83984375,687.7749399038462,-1,0.3388909657320872,4709261
1745540674,1745540795,121,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3395 feature_id 26 batch_size 327 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,3395,26,327,str\(\'H\'\),2,str\(\'tstat\'\),0.999,1,0.22,109,0,None,i7180,109,687.796875,687.7340745192307,-1,0.48851090342679127,4709573
1745541424,1745541783,359,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3148 feature_id 9 batch_size 3224 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,3148,9,3224,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,1,0.2,344,0,None,i7185,344,687.39453125,687.383129222973,-1,0.9392772585669782,4709925
1745541958,1745542100,142,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 26 batch_size 4412 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,26,4412,str\(\'H\'\),2,str\(\'stdev\'\),0.999,1,0.22,124,0,None,i7181,124,688.55859375,688.5059895833333,-1,0.46989408099688473,4710189
1745542475,1745542610,135,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3599 feature_id 26 batch_size 398 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.4786399747277357 subsets 1,3599,26,398,str\(\'H\'\),2,str\(\'stdev\'\),0.4786399747277357,1,0.22,120,0,None,i7182,120,687.30859375,687.25,-1,0.4860311526479751,4710443
1745543154,1745543288,134,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3453 feature_id 26 batch_size 4194 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 100,3453,26,4194,str\(\'H\'\),2,str\(\'tstat\'\),0.999,100,0.21,119,0,None,i7178,119,687.9375,687.8610491071429,-1,0.2090467289719626,4710785
1745543644,1745543816,172,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2066 feature_id 26 batch_size 2827 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,2066,26,2827,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,0.22,162,0,None,i7178,162,688.1328125,688.0910773026316,-1,0.2921370716510903,4711026
1745544175,1745544316,141,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 26 batch_size 4078 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,5000,26,4078,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,0.21,128,0,None,i7182,128,689.29296875,689.01328125,-1,0.1783551401869159,4711276
1745545276,1745545542,266,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 597 feature_id 13 batch_size 1248 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 1,597,13,1248,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,1,0.18,255,0,None,i7185,255,687.4921875,687.4630301339286,-1,0.4820934579439252,4711777
1745545835,1745545969,134,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 26 batch_size 399 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,26,399,str\(\'H\'\),2,str\(\'tstat\'\),0.999,1,0.22,121,0,None,i7181,121,688.60546875,688.5458333333333,-1,0.4872523364485981,4712056
1745546406,1745546559,153,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4559 feature_id 26 batch_size 481 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.6575013084372715 subsets 1,4559,26,481,str\(\'H\'\),1,str\(\'tstat\'\),0.6575013084372715,1,0.23,144,0,None,i7181,144,689.0390625,689.0016084558823,-1,0.9700560747663551,4712350
1745547295,1745547475,180,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2559 feature_id 1 batch_size 3273 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 15,2559,1,3273,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,15,0.16,166,0,None,i7180,166,688.8671875,688.8283305921053,-1,0.3013707165109034,4712810
1745548296,1745548426,130,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4323 feature_id 26 batch_size 1212 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.5653716320312899 subsets 37,4323,26,1212,str\(\'H\'\),2,str\(\'tstat\'\),0.5653716320312899,37,0.22,116,0,None,i7183,116,687.6171875,687.5516183035714,-1,0.2318380062305296,4713261
1745549256,1745549372,116,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3742 feature_id 26 batch_size 228 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 12,3742,26,228,str\(\'H\'\),1,str\(\'stdev\'\),0.999,12,0.22,106,0,None,i7183,106,688.25,688.2076322115385,-1,0.23013084112149532,4713692
1745549916,1745550013,97,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4592 feature_id 26 batch_size 2951 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.6016658290162213 subsets 62,4592,26,2951,str\(\'H\'\),1,str\(\'stdev\'\),0.6016658290162213,62,0.21,87,0,None,i7182,87,689.1171875,688.8465909090909,-1,0.08540809968847352,4714000
1745550716,1745550825,109,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2554 feature_id 26 batch_size 2853 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.2973001358583831 subsets 13,2554,26,2853,str\(\'H\'\),1,str\(\'stdev\'\),0.2973001358583831,13,0.22,97,0,None,i7182,97,688.6484375,671.4290364583334,-1,0.25950155763239874,4714368
1745551397,1745551533,136,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 300 feature_id 26 batch_size 2959 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 31,300,26,2959,str\(\'H\'\),1,str\(\'stdev\'\),0.001,31,0.22,119,0,None,i7186,119,689.21484375,689.177734375,-1,0.3069408099688474,4714684
1745552048,1745552191,143,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1341 feature_id 26 batch_size 1549 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.6804763015968025 subsets 31,1341,26,1549,str\(\'H\'\),1,str\(\'stdev\'\),0.6804763015968025,31,0.22,129,0,None,i7185,129,688.4375,688.4033854166667,-1,0.3225295950155763,4714983
1745553157,1745553528,371,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 392 feature_id 13 batch_size 1432 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.38008738739368086 subsets 100,392,13,1432,str\(\'KL\'\),1,str\(\'stdev\'\),0.38008738739368086,100,0.19,356,0,None,i7183,356,687.83203125,687.811369243421,-1,0.3568847352024922,4715502
1745553908,1745554368,460,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1684 feature_id 13 batch_size 1521 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 100,1684,13,1521,str\(\'H\'\),1,str\(\'stdev\'\),0.001,100,0.17,445,0,None,i7185,445,687.72265625,687.7114361702128,-1,0.4359252336448598,4715853
1745554537,1745554640,103,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 426 feature_id 26 batch_size 2439 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 22,426,26,2439,str\(\'H\'\),1,str\(\'stdev\'\),0.999,22,0.22,89,0,None,i7186,89,688.1015625,687.86328125,-1,0.09666043613707165,4716157
1745555457,1745555585,128,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 26 batch_size 1325 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,26,1325,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,1,0.22,115,0,None,i7182,115,687.75,687.6847098214286,-1,0.478816199376947,4716624
1745556660,1745556841,181,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3952 feature_id 3 batch_size 1553 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 100,3952,3,1553,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,100,0.16,168,0,None,i7186,168,688.4921875,688.442228618421,-1,0.26537071651090344,4717182
1745557900,1745558206,306,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3292 feature_id 9 batch_size 4420 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 100,3292,9,4420,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,100,0.19,292,0,None,i7180,292,688.2734375,688.2274169921875,-1,0.2753894080996885,4717732
1745558863,1745559047,184,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1148 feature_id 26 batch_size 328 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 55,1148,26,328,str\(\'H\'\),1,str\(\'tstat\'\),0.999,55,0.22,172,0,None,i7178,172,687.51171875,687.4708984375,-1,0.39237383177570095,4718164
1745559781,1745559994,213,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2609 feature_id 9 batch_size 2719 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 41,2609,9,2719,str\(\'H\'\),1,str\(\'stdev\'\),0.999,41,0.16,199,0,None,i7178,199,685.60546875,641.4485085227273,-1,0.11061682242990654,4718564
1745560879,1745561180,301,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 119 feature_id 13 batch_size 4769 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,119,13,4769,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,1,0.18,286,0,None,i7183,286,687.74609375,687.7310987903226,-1,0.9259190031152648,4719055
1745562082,1745562191,109,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1591 feature_id 26 batch_size 177 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 11,1591,26,177,str\(\'H\'\),3,str\(\'stdev\'\),0.999,11,0.22,94,0,None,i7181,94,687.6015625,687.5458984375,-1,0.19850467289719625,4719575
1745563079,1745563381,302,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2898 feature_id 9 batch_size 186 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,2898,9,186,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,0.21,289,0,None,i7182,289,688.54296875,683.4088961693549,-1,0.9740436137071651,4720032
1745564201,1745564337,136,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4220 feature_id 26 batch_size 462 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.6971756177711336 subsets 46,4220,26,462,str\(\'H\'\),2,str\(\'tstat\'\),0.6971756177711336,46,0.21,127,0,None,i7185,127,688.6328125,688.5684895833333,-1,0.2360373831775701,4720568
1745564939,1745565041,102,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1297 feature_id 26 batch_size 500 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.8103090401932167 subsets 14,1297,26,500,str\(\'H\'\),3,str\(\'stdev\'\),0.8103090401932167,14,0.21,91,0,None,i7180,91,687.36328125,687.30078125,-1,0.17446728971962616,4720945
1745566220,1745566330,110,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3066 feature_id 0 batch_size 168 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 40,3066,0,168,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,40,0.18,100,0,None,i7185,100,687.7265625,687.6627604166666,-1,0.17396884735202492,4721564
1745567460,1745567688,228,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 792 feature_id 13 batch_size 3816 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.059243234374990544 subsets 1,792,13,3816,str\(\'KL\'\),3,str\(\'stdev\'\),0.059243234374990544,1,0.17,218,0,None,i7185,218,687.75,687.71923828125,-1,0.23775700934579438,4722096
1745568401,1745568530,129,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2417 feature_id 26 batch_size 1642 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.5967435252038893 subsets 19,2417,26,1642,str\(\'H\'\),1,str\(\'tstat\'\),0.5967435252038893,19,0.21,117,0,None,i7185,117,687.6484375,687.5876116071429,-1,0.32737694704049847,4722517
1745569571,1745569685,114,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1075 feature_id 26 batch_size 487 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.9467082272648406 subsets 18,1075,26,487,str\(\'H\'\),1,str\(\'tstat\'\),0.9467082272648406,18,0.22,101,0,None,i7170,101,687.79296875,687.7400841346154,-1,0.4065919003115265,4723044
1745571528,1745571619,91,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 503 feature_id 0 batch_size 929 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.5279232344195411 subsets 84,503,0,929,str\(\'H\'\),3,str\(\'tstat\'\),0.5279232344195411,84,0.18,76,0,None,i7186,76,689.18359375,689.0921875,-1,0.2315264797507788,4723906
1745572153,1745572276,123,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4362 feature_id 26 batch_size 3302 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 25,4362,26,3302,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,25,0.22,108,0,None,i7182,108,687.703125,687.6424278846154,-1,0.30426168224299066,4724180
1745572902,1745573031,129,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 26 batch_size 2942 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,26,2942,str\(\'H\'\),2,str\(\'stdev\'\),0.999,1,0.22,119,0,None,i7186,119,688.12109375,688.0638950892857,-1,0.48833644859813086,4724475
1745574072,1745574189,117,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3929 feature_id 26 batch_size 637 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.881953422319508 subsets 20,3929,26,637,str\(\'H\'\),2,str\(\'tstat\'\),0.881953422319508,20,0.22,103,0,None,i7181,103,687.75,687.6745793269231,-1,0.25400623052959503,4725023
1745574681,1745574816,135,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4504 feature_id 26 batch_size 667 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.6611413513492373 subsets 91,4504,26,667,str\(\'H\'\),3,str\(\'tstat\'\),0.6611413513492373,91,0.22,121,0,None,i7180,121,687.6484375,687.6005208333333,-1,0.28261682242990654,4725326
1745575482,1745575597,115,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2963 feature_id 26 batch_size 2693 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 13,2963,26,2693,str\(\'H\'\),1,str\(\'stdev\'\),0.001,13,0.21,102,0,None,i7180,102,688.70703125,688.6673677884615,-1,0.31066666666666665,4725685
1745576683,1745577021,338,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4274 feature_id 14 batch_size 1118 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,4274,14,1118,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,0.12,325,0,None,i7178,325,688.00390625,685.9223214285714,-1,0.9642242990654205,4726209
1745577241,1745577357,116,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3644 feature_id 26 batch_size 4750 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.5979823183378274 subsets 37,3644,26,4750,str\(\'H\'\),1,str\(\'tstat\'\),0.5979823183378274,37,0.21,103,0,None,i7183,103,687.921875,685.2872596153846,-1,0.2710404984423676,4726447
1745578062,1745578278,216,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4870 feature_id 26 batch_size 1329 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.3577955924501699 subsets 1,4870,26,1329,str\(\'H\'\),1,str\(\'stdev\'\),0.3577955924501699,1,0.23,201,0,None,i7185,201,687.2734375,687.2554347826087,-1,0.9687352024922118,4726804
1745578923,1745579227,304,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 123 feature_id 26 batch_size 883 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.6432080766577059 subsets 100,123,26,883,str\(\'H\'\),2,str\(\'tstat\'\),0.6432080766577059,100,0.22,288,0,None,i7176,288,687.88671875,687.8447580645161,-1,0.2530716510903427,4727216
1745579803,1745580013,210,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4737 feature_id 26 batch_size 2812 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.34027562577154036 subsets 1,4737,26,2812,str\(\'H\'\),1,str\(\'tstat\'\),0.34027562577154036,1,0.22,197,0,None,i7185,197,689.12890625,689.1015625,-1,0.9562242990654206,4727607
1745581094,1745581478,384,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4659 feature_id 4 batch_size 1338 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 100,4659,4,1338,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,100,0.14,374,0,None,i7185,374,688.375,688.35244140625,-1,0.2918753894080997,4728174
1745582713,1745583000,287,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4595 feature_id 9 batch_size 1539 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 89,4595,9,1539,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,89,0.2,275,0,None,i7182,275,687.56640625,687.5467447916667,-1,0.38355140186915887,4728866
1745583783,1745583956,173,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4178 feature_id 3 batch_size 4028 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 55,4178,3,4028,str\(\'H\'\),3,str\(\'tstat\'\),0.999,55,0.15,159,0,None,i7183,159,688.984375,687.4040798611111,-1,0.20077258566978193,4729340
1745585295,1745585623,328,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 375 feature_id 9 batch_size 2617 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.3095730625265294 subsets 1,375,9,2617,str\(\'H\'\),2,str\(\'stdev\'\),0.3095730625265294,1,0.2,310,0,None,i7186,310,688.48828125,688.461884469697,-1,0.46424922118380063,4730009
1745586585,1745586752,167,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4984 feature_id 3 batch_size 4146 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.7766801477776107 subsets 24,4984,3,4146,str\(\'H\'\),2,str\(\'stdev\'\),0.7766801477776107,24,0.15,157,0,None,i7186,157,689.0078125,688.8031684027778,-1,0.15499065420560748,4730573
1745588045,1745588167,122,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 0 batch_size 5000 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.8887440954368037 subsets 100,5000,0,5000,str\(\'KL\'\),2,str\(\'tstat\'\),0.8887440954368037,100,0.17,110,0,None,i7182,110,687,686.4116586538462,-1,0.3115264797507788,4731215
1745589554,1745589701,147,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1874 feature_id 0 batch_size 2281 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 100,1874,0,2281,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,100,0.18,134,0,None,i7183,134,688.796875,688.734375,-1,0.2842367601246106,4731857
1745590925,1745591009,84,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1813 feature_id 0 batch_size 3514 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 75,1813,0,3514,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,75,0.16,71,0,None,i7183,71,688.5859375,688.512109375,-1,0.21894080996884735,4732409
1745592017,1745592260,243,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3305 feature_id 1 batch_size 3449 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.11614425029934607 subsets 80,3305,1,3449,str\(\'KL\'\),1,str\(\'stdev\'\),0.11614425029934607,80,0.15,226,0,None,i7186,226,688.4140625,688.12984375,-1,0.1470031152647975,4732837
1745593125,1745593316,191,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1737 feature_id 3 batch_size 2336 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1737,3,2336,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,1,0.16,176,0,None,i7181,176,687.828125,687.790234375,-1,0.46994392523364487,4733298
1745594767,1745594933,166,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1690 feature_id 1 batch_size 1415 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.9956267305206997 subsets 100,1690,1,1415,str\(\'KL\'\),3,str\(\'tstat\'\),0.9956267305206997,100,0.15,151,0,None,i7181,151,688.76171875,688.7020399305555,-1,0.23957632398753895,4733992
1745596206,1745596443,237,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 173 feature_id 10 batch_size 3131 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 100,173,10,3131,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,100,0.13,222,0,None,i7180,222,687.79296875,687.76828125,-1,0.31212461059190033,4734633
1745597778,1745598185,407,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 126 feature_id 4 batch_size 4930 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,126,4,4930,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,0.17,393,0,None,i7186,393,687.34765625,687.2854352678571,-1,0.958018691588785,4735287
1745598988,1745599148,160,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1382 feature_id 1 batch_size 1400 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 29,1382,1,1400,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,29,0.15,150,0,None,i7176,150,688.3671875,688.3083639705883,-1,0.23677258566978193,4735777
1745600469,1745600629,160,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4445 feature_id 13 batch_size 3451 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 43,4445,13,3451,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,43,0.1,151,0,None,i7183,151,687.90234375,687.6818576388889,-1,0.043003115264797505,4736391
1745601809,1745601970,161,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4592 feature_id 13 batch_size 4970 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 15,4592,13,4970,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,15,0.1,146,0,None,i7181,146,687.9140625,687.6897977941177,-1,0.06193146417445483,4736909
1745603178,1745603478,300,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 547 feature_id 13 batch_size 3957 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.7829280435185006 subsets 1,547,13,3957,str\(\'KL\'\),1,str\(\'tstat\'\),0.7829280435185006,1,0.18,286,0,None,i7181,286,687.37890625,687.3621471774194,-1,0.9612585669781931,4737462
1745604407,1745604975,568,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4352 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.7686442708799008 subsets 21,4352,3,1,str\(\'H\'\),2,str\(\'tstat\'\),0.7686442708799008,21,0.11,555,0,None,i7181,555,693.45703125,689.9960264008621,-1,0.21204984423676013,4737989
1745607289,1745607562,273,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4936 feature_id 1 batch_size 3981 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 71,4936,1,3981,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,71,0.15,259,0,None,i7186,259,687.84765625,687.7970145089286,-1,0.29764485981308414,4739221
1745608130,1745608315,185,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1214 feature_id 9 batch_size 1289 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 100,1214,9,1289,str\(\'H\'\),3,str\(\'tstat\'\),0.001,100,0.16,174,0,None,i7176,174,687.50390625,687.4626953125,-1,0.08031152647975077,4739577
1745609181,1745609313,132,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2186 feature_id 0 batch_size 850 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 11,2186,0,850,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,11,0.18,115,0,None,i7186,115,688.6171875,688.5359933035714,-1,0.2753894080996885,4740026
1745610860,1745610976,116,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4392 feature_id 26 batch_size 3582 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.25091567504873913 subsets 55,4392,26,3582,str\(\'KL\'\),2,str\(\'stdev\'\),0.25091567504873913,55,0.21,101,0,None,i7186,101,687.57421875,687.4957932692307,-1,0.22317757009345796,4741352
1745611971,1745612056,85,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2387 feature_id 0 batch_size 3504 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.43998661498398317 subsets 23,2387,0,3504,str\(\'KL\'\),2,str\(\'stdev\'\),0.43998661498398317,23,0.16,70,0,None,i7186,70,688.1328125,688.044140625,-1,0.17465420560747663,4742218
1745613681,1745613854,173,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3165 feature_id 10 batch_size 2277 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 2,3165,10,2277,str\(\'H\'\),3,str\(\'tstat\'\),0.999,2,0.14,162,0,None,i7181,162,688.265625,688.21875,-1,0.2553644859813084,4742940
1745615092,1745615282,190,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 615 feature_id 3 batch_size 2548 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.21767167675426588 subsets 92,615,3,2548,str\(\'KL\'\),2,str\(\'tstat\'\),0.21767167675426588,92,0.16,177,0,None,i7180,177,688.48046875,688.0982421875,-1,0.19050467289719628,4743523
1745616592,1745616842,250,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 572 feature_id 3 batch_size 2866 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 22,572,3,2866,str\(\'H\'\),2,str\(\'tstat\'\),0.999,22,0.16,234,0,None,i7186,234,688.4296875,688.3835637019231,-1,0.32142056074766356,4744148
1745618063,1745618172,109,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 0 batch_size 3149 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,0,3149,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,1,0.18,98,0,None,i7176,98,689.02734375,688.921875,-1,0.485208722741433,4744739
1745619442,1745619552,110,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 891 feature_id 26 batch_size 1429 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.5296189884508581 subsets 14,891,26,1429,str\(\'H\'\),2,str\(\'stdev\'\),0.5296189884508581,14,0.21,98,0,None,i7186,98,688.37890625,688.2955729166666,-1,0.20657943925233646,4745312
1745620913,1745621213,300,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 321 feature_id 12 batch_size 3889 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 2,321,12,3889,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,2,0.12,288,0,None,i7183,288,687.3359375,687.3219506048387,-1,0.9443115264797508,4745921
1745622312,1745622522,210,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 593 feature_id 9 batch_size 2004 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 100,593,9,2004,str\(\'H\'\),2,str\(\'tstat\'\),0.001,100,0.15,196,0,None,i7180,196,689.71875,689.5477627840909,-1,0.1498317757009346,4746488
1745623313,1745623480,167,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 26 batch_size 1251 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,26,1251,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,1,0.23,156,0,None,i7183,156,689.19921875,689.173828125,-1,0.972772585669782,4746910
1745624603,1745624616,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4773 feature_id 0 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 4,4773,0,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,4,None,None,1,None,i7180,,,,,,4747454
1745625593,1745625779,186,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 702 feature_id 3 batch_size 1515 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 91,702,3,1515,str\(\'H\'\),3,str\(\'stdev\'\),0.001,91,0.16,176,0,None,i7176,176,687.28515625,687.246875,-1,0.25826791277258565,4747836
1745626586,1745626814,228,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1353 feature_id 4 batch_size 4922 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 5,1353,4,4922,str\(\'H\'\),3,str\(\'stdev\'\),0.001,5,0.14,217,0,None,i7185,217,687.5390625,687.4993489583334,-1,0.30666666666666664,4748238
1745627474,1745627487,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 26 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,26,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,None,None,1,None,i7183,,,,,,4748586
1745628924,1745629048,124,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4182 feature_id 26 batch_size 870 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 17,4182,26,870,str\(\'H\'\),2,str\(\'stdev\'\),0.999,17,0.22,114,0,None,i7180,114,688.6796875,688.6057477678571,-1,0.17345794392523364,4749165
1745630234,1745630427,193,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 347 feature_id 13 batch_size 2869 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 100,347,13,2869,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,100,0.17,181,0,None,i7181,181,688.10546875,688.0686383928571,-1,0.286006230529595,4749689
1745631866,1745632098,232,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1281 feature_id 3 batch_size 2118 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1281,3,2118,str\(\'H\'\),3,str\(\'stdev\'\),0.001,1,0.16,215,0,None,i7178,215,683.55859375,628.11474609375,-1,0.2639252336448598,4750334
1745632875,1745632999,124,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4290 feature_id 26 batch_size 1341 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.7253018076203063 subsets 19,4290,26,1341,str\(\'H\'\),2,str\(\'stdev\'\),0.7253018076203063,19,0.21,114,0,None,i7185,114,687.6796875,687.5931919642857,-1,0.20903426791277258,4750711
1745633935,1745633948,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 26 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,26,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,None,None,1,None,i7180,,,,,,4751135
1745635275,1745635385,110,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4537 feature_id 0 batch_size 1573 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.9439913919639795 subsets 49,4537,0,1573,str\(\'KL\'\),1,str\(\'tstat\'\),0.9439913919639795,49,0.18,98,0,None,i7186,98,687.21484375,687.1611328125,-1,0.33322118380062304,4751631
1745636476,1745636677,201,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4948 feature_id 9 batch_size 3326 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 63,4948,9,3326,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,63,0.18,188,0,None,i7186,188,687.92578125,687.8818824404761,-1,0.16578193146417444,4752077
1745637976,1745638155,179,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1063 feature_id 13 batch_size 4880 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.33065133416699544 subsets 1,1063,13,4880,str\(\'KL\'\),3,str\(\'tstat\'\),0.33065133416699544,1,0.11,166,0,None,i7183,166,689.265625,688.9856085526316,-1,0.06080996884735203,4752676
1745639035,1745639158,123,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4007 feature_id 26 batch_size 2958 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 13,4007,26,2958,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,13,0.22,111,0,None,i7186,111,687.7421875,687.7098214285714,-1,0.38054828660436135,4753130
1745640177,1745640365,188,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 26 batch_size 993 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1,26,993,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,0.23,177,0,None,i7185,177,687.8828125,687.851171875,-1,0.9649968847352025,4753605
1745641216,1745641230,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 26 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,26,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,None,None,1,None,i7180,,,,,,4754006
1745642476,1745642623,147,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 26 batch_size 2555 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 100,1,26,2555,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,100,0.21,137,0,None,i7183,137,688.24609375,688.184326171875,-1,0.22286604361370715,4754516
1745643267,1745643280,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 26 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,26,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,None,None,1,None,i7186,,,,,,4754818
1745644719,1745644960,241,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4904 feature_id 1 batch_size 1133 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,4904,1,1133,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,1,0.16,225,0,None,i7185,225,688.69140625,688.6553125,-1,0.48002492211838005,4755372
1745645958,1745646195,237,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1877 feature_id 3 batch_size 3684 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 100,1877,3,3684,str\(\'H\'\),3,str\(\'stdev\'\),0.999,100,0.15,222,0,None,i7186,222,687.4296875,687.4,-1,0.18362616822429906,4755853
1745647022,1745647119,97,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 26 batch_size 4514 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,26,4514,str\(\'H\'\),3,str\(\'stdev\'\),0.999,1,0.2,83,0,None,i7181,83,688.89453125,688.6938920454545,-1,0.11249844236760125,4756250
1745648116,1745648320,204,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4896 feature_id 9 batch_size 1929 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 7,4896,9,1929,str\(\'H\'\),1,str\(\'tstat\'\),0.999,7,0.2,195,0,None,i7183,195,689.44921875,689.4105113636364,-1,0.4077632398753894,4756664
1745648847,1745648968,121,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3657 feature_id 26 batch_size 1455 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.6579735663228244 subsets 68,3657,26,1455,str\(\'KL\'\),2,str\(\'tstat\'\),0.6579735663228244,68,0.21,111,0,None,i7180,111,688.94140625,688.8657924107143,-1,0.2289221183800623,4756959
1745650648,1745650747,99,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 0 batch_size 1453 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1,0,1453,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,1,0.16,83,0,None,i7185,83,687.8046875,687.7340198863636,-1,0.12674143302180685,4757685
1745652338,1745652562,224,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 343 feature_id 13 batch_size 3931 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 82,343,13,3931,str\(\'H\'\),2,str\(\'tstat\'\),0.999,82,0.17,215,0,None,i7183,215,688.96484375,688.9124348958334,-1,0.2449221183800623,4758343
1745653339,1745653524,185,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1374 feature_id 26 batch_size 1320 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.6266644344218995 subsets 1,1374,26,1320,str\(\'H\'\),2,str\(\'stdev\'\),0.6266644344218995,1,0.22,166,0,None,i7186,166,687.58203125,687.535978618421,-1,0.4770093457943925,4758693
1745654968,1745655161,193,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 436 feature_id 4 batch_size 2679 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 100,436,4,2679,str\(\'H\'\),3,str\(\'stdev\'\),0.999,100,0.15,179,0,None,i7181,179,688.26171875,688.22734375,-1,0.20029906542056075,4759304
1745656469,1745656661,192,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2304 feature_id 10 batch_size 3736 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 1,2304,10,3736,str\(\'H\'\),2,str\(\'stdev\'\),0.001,1,0.15,182,0,None,i7180,182,688.4296875,688.3885788690476,-1,0.487190031152648,4759865
1745658179,1745658403,224,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 5000 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1,13,5000,str\(\'H\'\),2,str\(\'tstat\'\),0.001,1,0.17,212,0,None,i7183,212,688.05859375,688.0096028645834,-1,0.47353271028037386,4760473
1745659799,1745659997,198,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 133 feature_id 4 batch_size 3171 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 83,133,4,3171,str\(\'H\'\),2,str\(\'stdev\'\),0.999,83,0.15,188,0,None,i7183,188,688.01171875,687.9572172619048,-1,0.2370841121495327,4761095
1745661499,1745661513,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 0 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 35,5000,0,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,35,None,None,1,None,i7181,,,,,,4761757
1745662939,1745663048,109,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 214 feature_id 26 batch_size 3228 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.5109070342016273 subsets 61,214,26,3228,str\(\'H\'\),2,str\(\'stdev\'\),0.5109070342016273,61,0.21,98,0,None,i7183,98,688.1015625,688.0296223958334,-1,0.2011214953271028,4762334
1745664421,1745664710,289,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 239 feature_id 13 batch_size 4569 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,239,13,4569,str\(\'H\'\),2,str\(\'stdev\'\),0.999,1,0.17,277,0,None,i7183,277,688.51953125,688.4813802083333,-1,0.4875015576323988,4762905
1745666120,1745666139,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 0 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 26,5000,0,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,26,None,None,1,None,i7176,,,,,,4763536
1745667861,1745667957,96,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 26 batch_size 1768 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,26,1768,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,1,0.22,87,0,None,i7183,87,689.2109375,688.83203125,-1,0.10727725856697819,4764175

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⚠ Job 4653729 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4653729/4653729_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4653729/4653729_0_log.out
----------------------------------------
submitit INFO (2025-04-23 22:12:03,231) - Starting with JobEnvironment(job_id=4653729, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-23 22:12:03,253) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4653729/4653729_submitted.pkl
slurmstepd: error: *** JOB 4653729 ON i7180 CANCELLED AT 2025-04-24T00:12:06 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4653729/4653729_0_log.err not found


⚠ Job 4675801 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4675801/4675801_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4675801/4675801_0_log.out
----------------------------------------
submitit INFO (2025-04-24 07:00:13,045) - Starting with JobEnvironment(job_id=4675801, hostname=i7176, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-24 07:00:13,047) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4675801/4675801_submitted.pkl
slurmstepd: error: *** JOB 4675801 ON i7176 CANCELLED AT 2025-04-24T09:00:17 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4675801/4675801_0_log.err not found


⚠ Job 4738698 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4738698/4738698_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4738698/4738698_0_log.out
----------------------------------------
submitit INFO (2025-04-25 20:33:07,232) - Starting with JobEnvironment(job_id=4738698, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-25 20:33:07,243) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4738698/4738698_submitted.pkl
slurmstepd: error: *** JOB 4738698 ON i7185 CANCELLED AT 2025-04-25T22:33:12 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4738698/4738698_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4747454/4747454_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4748586/4748586_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4751135/4751135_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4754006/4754006_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4754818/4754818_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4761757/4761757_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4763536/4763536_0_log.err not found

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timestamp,ram_usage_mb,cpu_usage_percent
1745406346,639.33203125,33.2
1745406346,639.33203125,27.1
1745406346,639.45703125,30.3
1745406346,639.45703125,25.6
1745406346,639.45703125,41.9
1745406346,639.45703125,36.7
1745406346,639.45703125,27.6
1745406966,701.08984375,35.2
1745406966,701.08984375,47.7
1745406966,701.26953125,35.5
1745406966,701.26953125,33.3
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1745415604,972.9296875,29.7
1745415604,972.9296875,29.2
1745415604,972.9296875,39.0
1745425021,957.11328125,20.4
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1745425021,957.11328125,15.1
1745425021,957.11328125,19.6
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1745434844,978.1875,14.3
1745434844,978.1875,14.3
1745445545,974.78515625,16.0
1745445545,974.78515625,18.0
1745445546,974.78515625,20.2
1745445546,974.78515625,25.7
1745457558,1056.625,14.4
1745457558,1056.625,13.5
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1745457558,1056.625,21.1
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1745481826,1101.60546875,24.3
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1745509465,1114.1875,21.1
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1745523938,1179.34765625,15.4
1745523938,1179.34765625,17.7
1745523938,1179.34765625,17.6
1745523938,1179.34765625,17.1
1745538026,1157.0546875,12.9
1745538026,1157.0546875,15.5
1745538027,1157.0546875,13.6
1745538027,1157.0546875,7.3
1745552061,1211.64453125,15.6
1745552061,1211.64453125,18.1
1745552061,1211.64453125,18.6
1745552061,1211.64453125,15.1
1745572909,1217.4765625,26.4
1745572909,1217.4765625,19.0
1745572909,1217.4765625,19.6
1745572909,1217.4765625,25.0
1745596224,1254.87109375,22.1
1745596224,1254.87109375,30.3
1745596224,1254.87109375,29.4
1745596224,1254.87109375,32.1
1745623316,1287.8984375,22.0
1745623316,1287.8984375,19.0
1745623316,1287.8984375,19.3
1745623316,1287.8984375,17.6
1745647035,1323.046875,25.7
1745647035,1323.046875,25.4
1745647035,1323.046875,26.6
1745647035,1323.046875,32.6

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Correlation Heatmap Explanation

This is a heatmap that visualizes the correlation between numerical columns in a dataset. The values represented in the heatmap show the strength and direction of relationships between different variables.

How It Works

The heatmap uses a matrix to represent correlations between each pair of numerical columns. The calculation behind this is based on the concept of "correlation," which measures how strongly two variables are related. A correlation can be positive, negative, or zero:

• Positive correlation: Both variables increase or decrease together (e.g., if the temperature rises, ice cream sales increase).
• Negative correlation: As one variable increases, the other decreases (e.g., as the price of a product rises, the demand for it decreases).
• Zero correlation: There is no relationship between the two variables (e.g., height and shoe size might show zero correlation in some contexts).

Color Scale: Yellow to Purple (Viridis)

The heatmap uses a color scale called "Viridis," which ranges from yellow to purple. Here's what the colors represent:

• Yellow (brightest): A strong positive correlation (close to +1). This indicates that as one variable increases, the other increases in a very predictable manner.
• Green: A moderate positive correlation. Variables are still positively related, but the relationship is not as strong.
• Blue: A weak or near-zero correlation. There is a small or no discernible relationship between the variables.
• Purple (darkest): A strong negative correlation (close to -1). This indicates that as one variable increases, the other decreases in a very predictable manner.

What the Heatmap Shows

In the heatmap, each cell represents the correlation between two numerical columns. The color of the cell is determined by the correlation coefficient: from yellow for strong positive correlations, through green and blue for weaker correlations, to purple for strong negative correlations.

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			}
			
			button {
				background-color: #4eae46;
				border: 1px solid #2A8387;
				border-radius: 4px;
				box-shadow: rgba(0, 0, 0, 0.12) 0 1px 1px;
				cursor: pointer;
				display: block;
				line-height: 100%;
				outline: 0;
				padding: 11px 15px 12px;
				text-align: center;
				transition: box-shadow .05s ease-in-out, opacity .05s ease-in-out;
				user-select: none;
				-webkit-user-select: none;
				touch-action: manipulation;
				font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
			}
			
			button:hover {
				box-shadow: rgba(255, 255, 255, 0.3) 0 0 2px inset, rgba(0, 0, 0, 0.4) 0 1px 2px;
				text-decoration: none;
				transition-duration: .15s, .15s;
			}
			
			button:active {
				box-shadow: rgba(0, 0, 0, 0.15) 0 2px 4px inset, rgba(0, 0, 0, 0.4) 0 1px 1px;
			}
			
			button:disabled {
				cursor: not-allowed;
				opacity: .6;
			}
			
			button:disabled:active {
				pointer-events: none;
			}
			
			button:disabled:hover {
				box-shadow: none;
			}
			
			.half_width_td {
				vertical-align: baseline;
				width: 50%;
			}
			
			#scads_bar {
				width: 100%;
				margin: 0;
				padding: 0;
				user-select: none;
				user-drag: none;
				-webkit-user-drag: none;
				user-select: none;
				-moz-user-select: none;
				-webkit-user-select: none;
				-ms-user-select: none;
				display: -webkit-box;
			}
			
			.tab {
				display: inline-block;
				padding: 0px;
				margin: 0px;
				font-size: 16px;
				font-weight: bold;
				text-align: center;
				border-radius: 25px;
				text-decoration: none !important;
				transition: background-color 0.3s, color 0.3s;
				color: unset !important;
			}
			
			.tooltipster-base {
				border: 1px solid black;
				position: absolute;
				border-radius: 8px;
				padding: 2px;
				color: white;
				background-color: #61686f;
				width: 70%;
				min-width: 200px;
				pointer-events: none;
			}
			
			td {
				padding-top: 3px;
				padding-bottom: 3px;
			}
			
			.left_side {
				text-align: right;
			}
			
			.right_side {
				text-align: left;
			}
			
			.spinner {
				border: 8px solid rgba(0, 0, 0, 0.1);
				border-left: 8px solid #3498db;
				border-radius: 50%;
				width: 50px;
				height: 50px;
				animation: spin 1s linear infinite;
			}
			
			@keyframes spin {
				0% {
					transform: rotate(0deg);
				}
			
				100% {
					transform: rotate(360deg);
				}
			}
			
			#spinner-overlay {
				-webkit-text-stroke: 1px black;
				white !important;
				position: fixed;
				top: 0;
				left: 0;
				width: 100%;
				height: 100%;
				display: flex;
				justify-content: center;
				align-items: center;
				z-index: 9999;
			}
			
			#spinner-container {
				text-align: center;
				color: #fff;
				display: contents;
			}
			
			#spinner-text {
				font-size: 3vw;
				margin-left: 10px;
			}
			
			a, a:visited, a:active, a:hover, a:link {
				color: #007bff;
				text-decoration: none;
			}
			
			.copy-container {
				display: inline-block;
				position: relative;
				cursor: pointer;
				margin-left: 10px;
				color: blue;
			}
			
			.copy-container:hover {
				text-decoration: underline;
			}
			
			.clipboard-icon {
				position: absolute;
				top: 5px;
				right: 5px;
				font-size: 1.5em;
			}
			
			#main_tab {
				overflow: scroll;
				width: max-content;
			}
			
			.ui-tabs .ui-tabs-nav li {
				user-select: none;
			}
			
			.stacktrace_table {
				background-color: black !important;
				color: white !important;
			}
			
			#breadcrumb {
				user-select: none;
			}
			
			#statusBar {
				user-select: none;
			}
			
			.error_line {
				background-color: red !important;
				color: white !important;
			}
			
			.header_table {
				border: 0px !important;
				padding: 0px !important;
				width: revert !important;
				min-width: revert !important;
			}
			
			.img_auto_width {
				max-width: revert !important;
			}
			
			#main_dir_or_plot_view {
				display: inline-grid;
			}
			
			#refresh_button {
				width: 300px;
			}
			
			._share_link {
				color: black !important;
			}
			
			#footer_element {
				height: 30px;
				background-color: #f8f9fa;
				padding: 0px;
				text-align: center;
				border-top: 1px solid #dee2e6;
				width: 100%;
				box-sizing: border-box;
				position: fixed;
				bottom: 0;
				z-index: 2;
				margin-left: -9px;
				z-index: 99;
			}
			
			.switch {
				position: relative;
				display: inline-block;
				width: 50px;
				height: 26px;
			}
			
			.switch input {
				opacity: 0;
				width: 0;
				height: 0;
			}
			
			.slider {
				position: absolute;
				cursor: pointer;
				top: 0;
				left: 0;
				right: 0;
				bottom: 0;
				background-color: #ccc;
				transition: .4s;
				border-radius: 26px;
			}
			
			.slider:before {
				position: absolute;
				content: "";
				height: 20px;
				width: 20px;
				left: 3px;
				bottom: 3px;
				background-color: white;
				transition: .4s;
				border-radius: 50%;
			}
			
			input:checked + .slider {
				background-color: #444;
			}
			
			input:checked + .slider:before {
				transform: translateX(24px);
			}
			
			.mode-text {
				position: absolute;
				top: 5px;
				left: 65px;
				font-size: 14px;
				color: black;
				transition: .4s;
				width: 65px;
				display: block;
				font-size: 0.7rem;
				text-align: center;
			}
			
			input:checked + .slider .mode-text {
				content: "Dark Mode";
				color: white;
			}
			
			#mainContent {
				height: fit-content;
				min-height: 100%;
			}
			
			li {
				text-align: left;
			}
			
			#share_path {
				margin-bottom: 20px;
				margin-top: 20px;
			}
			
			#sortForm {
				margin-bottom: 20px;
			}
			
			.share_folder_buttons {
				margin-top: 10px;
				margin-bottom: 10px;
			}
			
			.nav_tab_button {
				margin: 10px;
			}
			
			.header_table {
				margin: 10px;
			}
			
			.no_border {
				border: unset !important;
			}
			
			.gui_table {
				padding: 5px !important;
			}
			
			.gui_parameter_row {
			}
			
			.gui_parameter_row_cell {
				border: unset !important;
			}
			
			.gui_param_table {
				width: 95%;
				margin: unset !important;
			}
			
			table td, table tr,
			.parameterRow table {
				padding: 2px !important;
			}
			
			.parameterRow table {
				margin: 0px;
				border: unset;
			}
			
			.parameterRow > td {
				border: 0px !important;
			}
			
			.parameter_config_table td, .parameter_config_table tr, #config_table th, #config_table td, #hidden_config_table th, #hidden_config_table td {
				border: 0px !important;
			}
			
			.green_text {
				color: green;
			}
			
			.remove_parameter {
				white-space: pre;
			}
			
			select {
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				background-color: #fff;
				color: #222;
				padding: 5px 30px 5px 5px;
				border: 1px solid #555;
				border-radius: 5px;
				cursor: pointer;
				outline: none;
				transition: all 0.3s ease;
				background:
					url("data:image/svg+xml;charset=UTF-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 10 6'%3E%3Cpath fill='%23888' d='M0 0l5 6 5-6z'/%3E%3C/svg%3E")
					no-repeat right 10px center,
				linear-gradient(180deg, #fff, #ecebe5 86%, #d8d0c4);
				background-size: 12px, auto;
			}
			
			select:hover {
				border-color: #888;
			}
			
			select:focus {
				border-color: #4caf50;
				box-shadow: 0 0 5px rgba(76, 175, 80, 0.5);
			}
			
			select::-ms-expand {
				display: none;
			}
			
			input, textarea {
				border-radius: 5px;
			}
			
			#search {
				width: 200px;
				max-width: 70%;
				background-image: url(images/search.svg);
				background-repeat: no-repeat;
				background-size: auto 40px;
				height: 40px;
				line-height: 40px;
				padding-left: 40px;
				box-sizing: border-box;
			}
			
			input[type="checkbox"] {
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				width: 25px;
				height: 25px;
				border: 2px solid #3498db;
				border-radius: 5px;
				background-color: #fff;
				position: relative;
				cursor: pointer;
				transition: all 0.3s ease;
				width: 25px !important;
			}
			
			input[type="checkbox"]:checked {
				background-color: #3498db;
				border-color: #2980b9;
			}
			
			input[type="checkbox"]:checked::before {
				content: '✔';
				position: absolute;
				left: 4px;
				top: 2px;
				color: #fff;
			}
			
			input[type="checkbox"]:hover {
				border-color: #2980b9;
				background-color: #3caffc;
			}
			
			.toc {
				margin-bottom: 20px;
			}
			
			.toc li {
				margin-bottom: 5px;
			}
			
			.toc a {
				text-decoration: none;
				color: #007bff;
			}
			
			.toc a:hover {
				text-decoration: underline;
			}
			
			.table-container {
				width: 100%;
				overflow-x: auto;
			}
			
			.section-header {
				background-color: #1d6f9a !important;
				color: white;
			}
			
			.warning {
				color: red;
			}
			
			.li_list a {
				text-decoration: none;
			}
			
			.gridjs-td {
				white-space: nowrap;
			}
			
			th, td {
				border: 1px solid gray !important;
			}
			
			.no_border {
				border: 0px !important;
			}
			
			.no_break {
			
			}
			
			img {
				user-select: none;
				pointer-events: none;
			}
			
			#config_table, #hidden_config_table {
				user-select: none;
			}
			
			.copy_clipboard_button {
				margin-bottom: 10px;
			}
			
			.badge_table {
				background-color: unset !important;
			}
			
			.make_markable {
				user-select: text;
			}
			
			.header-container {
				display: flex;
				flex-wrap: wrap;
				align-items: center;
				justify-content: space-between;
				gap: 1rem;
				padding: 10px;
				background: var(--header-bg, #fff);
				border-bottom: 1px solid #ccc;
			}
			
			.header-logo-group {
				display: flex;
				gap: 1rem;
				align-items: center;
				flex: 1 1 auto;
				min-width: 200px;
			}
			
			.logo-img {
				max-height: 45px;
				height: auto;
				width: auto;
				object-fit: contain;
				pointer-events: unset;
			}
			
			.header-badges {
				flex-direction: column;
				gap: 5px;
				align-items: flex-start;
				flex: 0 1 auto;
				margin-top: auto;
				margin-bottom: auto;
			}
			
			.badge-img {
				height: auto;
				max-width: 130px;
				margin-top: 3px;
			}
			
			.header-tabs {
				margin-top: 10px;
				display: flex;
				flex-wrap: wrap;
				gap: 10px;
				flex: 2 1 100%;
				justify-content: center;
			}
			
			.nav-tab {
				display: inline-block;
				text-decoration: none;
				padding: 8px 16px;
				border-radius: 20px;
				background: linear-gradient(to right, #4a90e2, #357ABD);
				color: white;
				font-weight: bold;
				white-space: nowrap;
				transition: background 0.2s ease-in-out, transform 0.2s;
				box-shadow: 0 2px 4px rgba(0,0,0,0.2);
			}
			
			.nav-tab:hover {
				background: linear-gradient(to right, #5aa0f2, #4a90e2);
				transform: translateY(-2px);
			}
			
			.current-tag {
				padding-left: 10px;
				font-size: 0.9rem;
				color: #666;
			}
			
			.header-theme-toggle {
				flex: 1 1 auto;
				align-items: center;
				margin-top: 20px;
				min-width: 120px;
			}
			
			.switch {
				position: relative;
				display: inline-block;
				width: 60px;
				height: 30px;
			}
			
			.switch input {
				display: none;
			}
			
			.slider {
				position: absolute;
				top: 0; left: 0; right: 0; bottom: 0;
				background-color: #ccc;
				border-radius: 34px;
				cursor: pointer;
			}
			
			.slider::before {
				content: "";
				position: absolute;
				height: 24px;
				width: 24px;
				left: 3px;
				bottom: 3px;
				background-color: white;
				transition: .4s;
				border-radius: 50%;
			}
			
			input:checked + .slider {
				background-color: #2196F3;
			}
			
			input:checked + .slider::before {
				transform: translateX(30px);
			}
			
			@media (max-width: 768px) {
				.header-logo-group,
				.header-badges,
				.header-theme-toggle {
					justify-content: center;
					flex: 1 1 100%;
					text-align: center;
					width: inherit;
				}
			
				.logo-img {
					max-height: 50px;
					pointer-events: unset;
				}
			
				.badge-img {
					max-width: 100px;
				}
			
				.hide_on_mobile {
					display: none;
				}
			
				.nav-tab {
					font-size: 0.9rem;
					padding: 6px 12px;
				}
			
				.header_button {
					white-space: pre;
					font-size: 2em;
				}
			}
			
			.header_button {
				white-space: pre;
				margin-top: 20px;
				margin: 5px;
			}
			
			.line_break_anywhere {
				line-break: anywhere;
			}
			
			.responsive-container {
				display: flex;
				flex-wrap: wrap;
				justify-content: space-between;
				gap: 20px;
			}
			
			.responsive-container .half {
				flex: 1 1 48%;
				box-sizing: border-box;
				min-width: 500px;
			}
			
			.config-section table {
				width: 100%;
				border-collapse: collapse;
			}
			
			@media (max-width: 768px) {
				.responsive-container .half {
					flex: 1 1 100%;
				}
			}
			
			@keyframes spin {
				0% {
					transform: rotate(0deg);
				}
			
				100% {
					transform: rotate(360deg);
				}
			}
			
			.rotate {
				animation: spin 2s linear infinite;
				display: inline-block;
			}
			
			input::placeholder {
				font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
			}
			
			.gridjs-th-content {
				overflow: visible !important;
			}
			
			.error_text {
				color: red;
			}
			
			h1, h2, h3, h4, h5, h6 {
				margin-top: 1em;
				font-weight: bold;
				color: #333;
				border-left: 5px solid #ccc;
				padding-left: 0.5em;
			}
			
			.no_cursive {
				font-style: normal;	
			}
			
			.caveat {
				background-color: #fff8b3;
				border: 1px solid #f2d600;
				padding: 1em 1em 1em 70px;
				position: relative;
				font-family: sans-serif;
				color: #665500;
				margin: 1em 0;
				border-radius: 4px;
			}
			
			.caveat h1, .caveat h2, .caveat h3, .caveat h4 {
				margin-top: 0;
				margin-bottom: 0.5em;
				font-weight: bold;
			}
			
			.caveat::before {
				content: "⚠️";
				font-size: 50px;
				line-height: 1;
				position: absolute;
				left: 10px;
				top: 50%;
				transform: translateY(-50%);
				pointer-events: none;
				user-select: none;
			}
			
			.caveat.warning::before { content: "⚠️"; }
			.caveat.stop::before { content: "🛑"; }
			.caveat.exclamation::before { content: "❗"; }
			.caveat.alarm::before { content: "🚨"; }
			.caveat.tip::before { content: "💡"; }
			
			.tutorial_icon {
				display: inline-block;
				font-size: 1.3em;
				line-height: 1;
				vertical-align: middle;
				transform: translateY(-10%);
				padding: 0.2em 0;
			}
			
			.highlight {
				background-color: yellow;
				font-weight: bold;
			}
			
			#searchResults li {
				opacity: 0;
				transform: translateY(8px);
				animation: fadeInUp 0.3s ease-out forwards;
				animation-delay: 0.05s;
				list-style: none;
				margin-bottom: 5px;
			}
			
			@keyframes fadeInUp {
				to {
					opacity: 1;
					transform: translateY(0);
				}
			}
			
			.search_headline {
				font-weight: bold;
				margin-top: 1em;
				margin-bottom: 0.3em;
				color: #444;
			}
			
			.search_share_path {
				color: black;
				display: block ruby;
				margin-top: 20px;
			}
			
			@media print {
				#scads_bar {
					display: none !important;
				}
			}
			

			/*! XP.css v0.2.6 - https: //botoxparty.github.io/XP.css/ */
			body{
				color: #222
			}
			
			.surface{
				background: #ece9d8
			}
			
			u{
				text-decoration: none;
				border-bottom: .5px solid #222
			}
			
			a{
				color: #00f
			}
			
			a: focus{
				outline: 1px dotted #00f
			}
			
			code,code *{
				font-family: monospace
			}
			
			pre{
				display: block;
				padding: 12px 8px;
				background-color: #000;
				color: silver;
				font-size: 1rem;
				margin: 0;
				overflow: scroll;
			}
			
			summary: focus{
				outline: 1px dotted #000
			}
			
			: :-webkit-scrollbar{
				width: 16px
			}
			
			: :-webkit-scrollbar: horizontal{
				height: 17px
			}
			
			: :-webkit-scrollbar-track{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='2' height='2' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 0H0v1h1v1h1V1H1V0z' fill='silver'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 0H1v1H0v1h1V1h1V0z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-color: #dfdfdf;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			: :-webkit-scrollbar-button: horizontal: end: increment,: :-webkit-scrollbar-button: horizontal: start: decrement,: :-webkit-scrollbar-button: vertical: end: increment,: :-webkit-scrollbar-button: vertical: start: decrement{
				display: block
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 6H7v1H6v1H5v1H4v1h7V9h-1V8H9V7H8V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: end{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 6H4v1h1v1h1v1h1v1h1V9h1V8h1V7h1V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 4H8v1H7v1H6v1H5v1h1v1h1v1h1v1h1V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M7 4H6v7h1v-1h1V9h1V8h1V7H9V6H8V5H7V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			button{
				border: none;
				background: #ece9d8;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf;
				border-radius: 0;
				min-width: 75px;
				min-height: 23px;
				padding: 0 12px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: inset -1px -1px #fff,inset 1px 1px #0a0a0a,inset -2px -2px #dfdfdf,inset 2px 2px grey
			}
			
			button.focused,button: focus{
				outline: 1px dotted #000;
				outline-offset: -4px
			}
			
			label{
				display: inline-flex;
				align-items: center
			}
			
			textarea{
				padding: 3px 4px;
				border: none;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0
			}
			
			textarea: focus{
				outline: none
			}
			
			select: focus option{
				color: #000;
				background-color: #fff
			}
			
			.vertical-bar{
				width: 4px;
				height: 20px;
				background: silver;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			&: disabled,&: disabled+label{
				color: grey;
				text-shadow: 1px 1px 0 #fff
			}
			
			input[type=radio]+label{
				line-height: 13px;
				position: relative;
				margin-left: 19px
			}
			
			input[type=radio]+label: before{
				content: "";
				position: absolute;
				top: 0;
				left: -19px;
				display: inline-block;
				width: 13px;
				height: 13px;
				margin-right: 6px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: active+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: checked+label: after{
				content: "";
				display: block;
				width: 5px;
				height: 5px;
				top: 5px;
				left: -14px;
				position: absolute;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='gray'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password]{
				padding: 3px 4px;
				border: 1px solid #7f9db9;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0;
				height: 21px;
				line-height: 2
			}
			
			input[type=email]: focus,input[type=password]: focus{
				outline: none
			}
			
			input[type=range]{
				-webkit-appearance: none;
				width: 100%;
				background: transparent
			}
			
			input[type=range]: focus{
				outline: none
			}
			
			input[type=range]: :-webkit-slider-thumb{
				-webkit-appearance: none;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range]: :-moz-range-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			.is-vertical{
				display: inline-block;
				width: 4px;
				height: 150px;
				transform: translateY(50%)
			}
			
			.is-vertical>input[type=range]{
				width: 150px;
				height: 4px;
				margin: 0 16px 0 10px;
				transform-origin: left;
				transform: rotate(270deg) translateX(calc(-50% + 8px))
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-thumb{
				transform: translateY(-8px) scaleX(-1)
			}
			
			.is-vertical>input[type=range]: :-moz-range-thumb{
				transform: translateY(2px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-webkit-slider-thumb{
				transform: translateY(-10px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-moz-range-thumb{
				transform: translateY(0) scaleX(-1)
			}
			
			.window{
				font-size: 11px;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #dfdfdf,inset -2px -2px grey,inset 2px 2px #fff;
				background: #ece9d8;
				padding: 3px
			}
			
			.window fieldset{
				margin-bottom: 9px
			}
			
			.title-bar{
				background: #000;
				padding: 3px 2px 3px 3px;
				display: flex;
				justify-content: space-between;
				align-items: center
			}
			
			.title-bar-text{
				font-weight: 700;
				color: #fff;
				letter-spacing: 0;
				margin-right: 24px
			}
			
			.title-bar-controls button{
				padding: 0;
				display: block;
				min-width: 16px;
				min-height: 14px
			}
			
			.title-bar-controls button: focus{
				outline: none
			}
			
			.window-body{
				margin: 8px
			}
			
			.window-body pre{
				margin: -8px
			}
			
			.status-bar{
				margin: 0 1px;
				display: flex;
				gap: 1px
			}
			
			.status-bar-field{
				box-shadow: inset -1px -1px #dfdfdf,inset 1px 1px grey;
				flex-grow: 1;
				padding: 2px 3px;
				margin: 0
			}
			
			ul.tree-view{
				display: block;
				background: #fff;
				padding: 6px;
				margin: 0
			}
			
			ul.tree-view li{
				list-style-type: none;
				margin-top: 3px
			}
			
			ul.tree-view a{
				text-decoration: none;
				color: #000
			}
			
			ul.tree-view a: focus{
				background-color: #2267cb;
				color: #fff
			}
			
			ul.tree-view ul{
				margin-top: 3px;
				margin-left: 16px;
				padding-left: 16px;
				border-left: 1px dotted grey
			}
			
			ul.tree-view ul>li{
				position: relative
			}
			
			ul.tree-view ul>li: before{
				content: "";
				display: block;
				position: absolute;
				left: -16px;
				top: 6px;
				width: 12px;
				border-bottom: 1px dotted grey
			}
			
			ul.tree-view ul>li: last-child: after{
				content: "";
				display: block;
				position: absolute;
				left: -20px;
				top: 7px;
				bottom: 0;
				width: 8px;
				background: #fff
			}
			
			ul.tree-view ul details>summary: before{
				margin-left: -22px;
				position: relative;
				z-index: 1
			}
			
			ul.tree-view details{
				margin-top: 0
			}
			
			ul.tree-view details>summary: before{
				text-align: center;
				display: block;
				float: left;
				content: "+";
				border: 1px solid grey;
				width: 8px;
				height: 9px;
				line-height: 9px;
				margin-right: 5px;
				padding-left: 1px;
				background-color: #fff
			}
			
			ul.tree-view details[open] summary{
				margin-bottom: 0
			}
			
			ul.tree-view details[open]>summary: before{
				content: "-"
			}
			
			fieldset{
				border-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='5' height='5' fill='gray' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h5v5H0V2h2v1h1V2H0' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h4v4H0V1h1v2h2V1H0'/%3E%3C/svg%3E") 2;
				padding: 10px;
				padding-block-start: 8px;
				margin: 0
			}
			
			legend{
				background: #ece9d8
			}
			
			menu[role=tablist]{
				position: relative;
				margin: 0 0 -2px;
				text-indent: 0;
				list-style-type: none;
				display: flex;
				padding-left: 3px
			}
			
			menu[role=tablist] button{
				z-index: 1;
				display: block;
				color: #222;
				text-decoration: none;
				min-width: unset
			}
			
			menu[role=tablist] button[aria-selected=true]{
				padding-bottom: 2px;margin-top: -2px;background-color: #ece9d8;position: relative;z-index: 8;margin-left: -3px;margin-bottom: 1px
			}
			
			menu[role=tablist] button: focus{
				outline: 1px dotted #222;outline-offset: -4px
			}
			
			menu[role=tablist].justified button{
				flex-grow: 1;text-align: center
			}
			
			[role=tabpanel]{
				padding: 14px;clear: both;background: linear-gradient(180deg,#fcfcfe,#f4f3ee);border: 1px solid #919b9c;position: relative;z-index: 2;margin-bottom: 9px
			}
			
			: :-webkit-scrollbar{
				width: 17px
			}
			
			: :-webkit-scrollbar-corner{
				background: #dfdfdf
			}
			
			: :-webkit-scrollbar-track: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 1' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1'/%3E%3Cpath stroke='%23f3f1ec' d='M1 0h1'/%3E%3Cpath stroke='%23f4f1ec' d='M2 0h1'/%3E%3Cpath stroke='%23f4f3ee' d='M3 0h1'/%3E%3Cpath stroke='%23f5f4ef' d='M4 0h1'/%3E%3Cpath stroke='%23f6f5f0' d='M5 0h1'/%3E%3Cpath stroke='%23f7f7f3' d='M6 0h1'/%3E%3Cpath stroke='%23f9f8f4' d='M7 0h1'/%3E%3Cpath stroke='%23f9f9f7' d='M8 0h1'/%3E%3Cpath stroke='%23fbfbf8' d='M9 0h1'/%3E%3Cpath stroke='%23fbfbf9' d='M10 0h2'/%3E%3Cpath stroke='%23fdfdfa' d='M12 0h1'/%3E%3Cpath stroke='%23fefefb' d='M13 0h3'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-track: horizontal{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 1 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1M0 16h1'/%3E%3Cpath stroke='%23f3f1ec' d='M0 1h1'/%3E%3Cpath stroke='%23f4f1ec' d='M0 2h1'/%3E%3Cpath stroke='%23f4f3ee' d='M0 3h1'/%3E%3Cpath stroke='%23f5f4ef' d='M0 4h1'/%3E%3Cpath stroke='%23f6f5f0' d='M0 5h1'/%3E%3Cpath stroke='%23f7f7f3' d='M0 6h1'/%3E%3Cpath stroke='%23f9f8f4' d='M0 7h1'/%3E%3Cpath stroke='%23f9f9f7' d='M0 8h1'/%3E%3Cpath stroke='%23fbfbf8' d='M0 9h1'/%3E%3Cpath stroke='%23fbfbf9' d='M0 10h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 12h1'/%3E%3Cpath stroke='%23fefefb' d='M0 13h1m-1 1h1m-1 1h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-position: 50%;
				background-repeat: no-repeat;
				background-color: #c8d6fb;
				background-size: 7px;
				border: 1px solid #fff;
				border-radius: 2px;
				box-shadow: inset -3px 0 #bad1fc,inset 1px 1px #b7caf5
			}
			
			: :-webkit-scrollbar-thumb: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 7 8' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h6M0 2h6M0 4h6M0 6h6'/%3E%3Cpath stroke='%23bad1fc' d='M6 0h1M6 2h1M6 4h1'/%3E%3Cpath stroke='%23c8d6fb' d='M0 1h1M0 3h1M0 5h1M0 7h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h6M1 3h6M1 5h6M1 7h6'/%3E%3Cpath stroke='%23bad3fc' d='M6 6h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb: horizontal{
				background-size: 8px;background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 8 7' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h1m1 0h1m1 0h1m1 0h1M0 1h1m1 0h1m1 0h1m1 0h1M0 2h1m1 0h1m1 0h1m1 0h1M0 3h1m1 0h1m1 0h1m1 0h1M0 4h1m1 0h1m1 0h1m1 0h1M0 5h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23c8d6fb' d='M1 0h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h1m1 0h1m1 0h1m1 0h1M1 2h1m1 0h1m1 0h1m1 0h1M1 3h1m1 0h1m1 0h1m1 0h1M1 4h1m1 0h1m1 0h1m1 0h1M1 5h1m1 0h1m1 0h1m1 0h1M1 6h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23bad1fc' d='M0 6h1m1 0h1'/%3E%3Cpath stroke='%23bad3fc' d='M4 6h1m1 0h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				height: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 8h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 1h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 1h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 1h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 1h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 1h1'/%3E%3Cpath stroke='%23e1eafe' d='M3 2h1'/%3E%3Cpath stroke='%23dae6fe' d='M4 2h1M3 3h1'/%3E%3Cpath stroke='%23d4e1fc' d='M5 2h1M3 4h1'/%3E%3Cpath stroke='%23d1e0fd' d='M6 2h1M4 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M7 2h1M3 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M8 2h1M6 3h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 2h1M7 3h1M5 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 2h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 2h1m-8 8h1m1 0h1'/%3E%3Cpath stroke='%23c2d3fc' d='M12 2h1m-2 1h1m-9 7h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 2h1m-1 2h1m-9 9h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 2h1M5 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 2h1'/%3E%3Cpath stroke='%23d8e3fc' d='M4 3h1'/%3E%3Cpath stroke='%23d1defd' d='M5 3h1'/%3E%3Cpath stroke='%23c9d8fc' d='M8 3h1M6 4h2M5 6h2M3 7h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 3h1M3 9h1m3 0h1'/%3E%3Cpath stroke='%23c5d3fc' d='M10 3h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 3h1M9 4h1m-7 7h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 3h1'/%3E%3Cpath stroke='%23baccf4' d='M14 3h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 3h1'/%3E%3Cpath stroke='%23c4d4f7' d='M2 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M5 4h1M3 6h1'/%3E%3Cpath stroke='%23c8d5fb' d='M8 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 4h3M9 5h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 4h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 4h1'/%3E%3Cpath stroke='%23bed0f8' d='M2 5h1'/%3E%3Cpath stroke='%23ceddfd' d='M4 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M6 5h2M3 8h2'/%3E%3Cpath stroke='%234d6185' d='M8 5h1M7 6h3M6 7h5M5 8h3m1 0h3M4 9h3m3 0h3m-8 1h1m5 0h1'/%3E%3Cpath stroke='%23bacdfc' d='M10 5h1m1 0h2M3 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1m-2 1h1m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 5h1'/%3E%3Cpath stroke='%23cddafc' d='M4 6h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 6h1m0 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 6h1'/%3E%3Cpath stroke='%23cad8fd' d='M4 7h2'/%3E%3Cpath stroke='%23b6cefb' d='M11 7h1m0 1h1'/%3E%3Cpath stroke='%23bacbf4' d='M14 7h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 7h1m-1 1h1m-1 5h1'/%3E%3Cpath stroke='%23c1d3fb' d='M8 8h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 8h1m-5 5h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 8h1'/%3E%3Cpath stroke='%23b4c8f6' d='M2 9h1'/%3E%3Cpath stroke='%23c2d5fc' d='M8 9h1m-1 1h1m-3 1h2'/%3E%3Cpath stroke='%23bdd3fb' d='M9 9h1m-2 3h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 9h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 9h1'/%3E%3Cpath stroke='%239fb5d2' d='M16 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c7f6' d='M2 10h1'/%3E%3Cpath stroke='%23c3d5fd' d='M7 10h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 10h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h1m1 0h1m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' d='M2 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M5 11h1'/%3E%3Cpath stroke='%23c1d5fb' d='M8 11h1'/%3E%3Cpath stroke='%23b7d3fc' d='M10 11h1m-2 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 11h1'/%3E%3Cpath stroke='%23afcefb' d='M12 11h1'/%3E%3Cpath stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M2 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M5 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M6 12h2'/%3E%3Cpath stroke='%23b6d1fb' d='M10 12h1'/%3E%3Cpath stroke='%23afccfb' d='M12 12h1'/%3E%3Cpath stroke='%23adc9f9' d='M13 12h1m-2 1h1'/%3E%3Cpath stroke='%23b1c5f3' d='M14 12h1'/%3E%3Cpath stroke='%23aac0f3' d='M2 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M3 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M4 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M7 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M8 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 13h1'/%3E%3Cpath stroke='%23dbe3f8' d='M2 14h1'/%3E%3Cpath stroke='%23b7c6f1' d='M3 14h1'/%3E%3Cpath stroke='%23b8c9f2' d='M4 14h1m3 0h1'/%3E%3Cpath stroke='%23b2c8f4' d='M11 14h1'/%3E%3Cpath stroke='%23b1c6f3' d='M12 14h1'/%3E%3Cpath stroke='%23b0c4f2' d='M13 14h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 14h1'/%3E%3Cpath stroke='%23aec0d6' d='M16 14h1'/%3E%3Cpath stroke='%23c3d4e7' d='M1 15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M1 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M2 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M3 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M4 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M5 16h1'/%3E%3Cpath stroke='%237da0d4' d='M6 16h1m3 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M7 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M8 16h2'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: end{
				height: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 8h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 1h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 1h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 1h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 1h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 1h1'/%3E%3Cpath stroke='%23e1eafe' d='M3 2h1'/%3E%3Cpath stroke='%23dae6fe' d='M4 2h1M3 3h1'/%3E%3Cpath stroke='%23d4e1fc' d='M5 2h1M3 4h1'/%3E%3Cpath stroke='%23d1e0fd' d='M6 2h1M4 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M7 2h1M3 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M8 2h1M6 3h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 2h1M7 3h1M5 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 2h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 2h1m-8 8h3'/%3E%3Cpath stroke='%23c2d3fc' d='M12 2h1m-2 1h1m-9 7h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 2h1m-1 2h1m-9 9h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 2h1M5 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 2h1'/%3E%3Cpath stroke='%23d8e3fc' d='M4 3h1'/%3E%3Cpath stroke='%23d1defd' d='M5 3h1'/%3E%3Cpath stroke='%23c9d8fc' d='M8 3h1M6 4h2M6 6h2M3 7h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 3h1M3 9h3'/%3E%3Cpath stroke='%23c5d3fc' d='M10 3h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 3h1M9 4h1m-7 7h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 3h1'/%3E%3Cpath stroke='%23baccf4' d='M14 3h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 3h1'/%3E%3Cpath stroke='%23c4d4f7' d='M2 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M5 4h1M3 6h1'/%3E%3Cpath stroke='%23c8d5fb' d='M8 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 4h3M9 5h1M8 6h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 4h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 4h1'/%3E%3Cpath stroke='%23bed0f8' d='M2 5h1'/%3E%3Cpath stroke='%23ceddfd' d='M4 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M6 5h3M3 8h2'/%3E%3Cpath stroke='%23bacdfc' d='M10 5h1m1 0h2M3 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1M9 6h2m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 5h1'/%3E%3Cpath stroke='%23cddafc' d='M4 6h1'/%3E%3Cpath stroke='%234d6185' d='M5 6h1m5 0h1M4 7h3m3 0h3M5 8h3m1 0h3M6 9h5m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 6h1'/%3E%3Cpath stroke='%23c1d3fb' d='M7 7h2M8 8h1'/%3E%3Cpath stroke='%23b6cefb' d='M9 7h1m2 1h1m-2 1h2'/%3E%3Cpath stroke='%23bacbf4' d='M14 7h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 7h1m-1 1h1m-1 5h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 8h1m-5 5h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 8h1'/%3E%3Cpath stroke='%23b4c8f6' d='M2 9h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 9h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 9h1'/%3E%3Cpath stroke='%239fb5d2' d='M16 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c7f6' d='M2 10h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h3m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' d='M2 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M5 11h1'/%3E%3Cpath stroke='%23c2d5fc' d='M6 11h2'/%3E%3Cpath stroke='%23bad4fc' d='M9 11h1'/%3E%3Cpath stroke='%23b7d3fc' d='M10 11h1m-2 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 11h1'/%3E%3Cpath stroke='%23afcefb' d='M12 11h1'/%3E%3Cpath 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14h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 14h1'/%3E%3Cpath stroke='%23aec0d6' d='M16 14h1'/%3E%3Cpath stroke='%23c3d4e7' d='M0 15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M0 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M1 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M2 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M3 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M4 16h1'/%3E%3Cpath stroke='%237da0d4' d='M5 16h1m4 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M6 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M7 16h3'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
			}
			
			.window{
				box-shadow: inset -1px -1px #00138c,inset 1px 1px #0831d9,inset -2px -2px #001ea0,inset 2px 2px #166aee,inset -3px -3px #003bda,inset 3px 3px #0855dd;
				border-top-left-radius: 8px;
				border-top-right-radius: 8px;
				padding: 0 0 3px;
				-webkit-font-smoothing: antialiased
			}
			
			.title-bar{
				background: linear-gradient(180deg,#0997ff,#0053ee 8%,#0050ee 40%,#06f 88%,#06f 93%,#005bff 95%,#003dd7 96%,#003dd7);
				padding: 3px 5px 3px 3px;
				border-top: 1px solid #0831d9;
				border-left: 1px solid #0831d9;
				border-right: 1px solid #001ea0;
				border-top-left-radius: 8px;
				border-top-right-radius: 7px;
				font-size: 13px;
				text-shadow: 1px 1px #0f1089;
				height: 21px
			}
			
			.title-bar-text{
				padding-left: 3px
			}
			
			.title-bar-controls{
				display: flex
			}
			
			.title-bar-controls button{
				min-width: 21px;
				min-height: 21px;
				margin-left: 2px;
				background-repeat: no-repeat;
				background-position: 50%;
				box-shadow: none;
				background-color: #0050ee;
				transition: background .1s;
				border: none
			}
			
			.title-bar-controls button: active,.title-bar-controls button: focus,.title-bar-controls button: hover{
				box-shadow: none!important
			}
			
			.title-bar-controls button[aria-label=Minimize]{
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			}
			
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			.title-bar-controls button[aria-label=Help]{
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stroke='%23b5381a' d='M9 4h1M4 9h1'/%3E%3Cpath stroke='%23b8391a' d='M10 4h1m-7 6h1'/%3E%3Cpath stroke='%23ba3a1b' d='M11 4h1m-8 7h2'/%3E%3Cpath stroke='%23bc3b1c' d='M12 4h1m-9 8h1'/%3E%3Cpath stroke='%23bd3c1c' d='M13 4h1m-1 1h1m-2 1h1m-7 6h1m-3 1h2'/%3E%3Cpath stroke='%23be3d1c' d='M14 4h3m-1 1h1m-1 1h1M4 14h1m-1 1h1m-1 1h2'/%3E%3Cpath stroke='%23bf3d1c' d='M17 4h3m-3 1h3m-2 1h2m-1 1h1M4 17h2m-2 1h4m-4 1h4'/%3E%3Cpath stroke='%235b1d0d' d='M1 5h1'/%3E%3Cpath stroke='%239c3016' d='M3 5h1'/%3E%3Cpath stroke='%23a43217' d='M4 5h1'/%3E%3Cpath stroke='%23b8553e' d='M5 5h1'/%3E%3Cpath stroke='%23d59485' d='M6 5h1M5 6h1'/%3E%3Cpath stroke='%23b33619' d='M7 5h1'/%3E%3Cpath stroke='%23b53719' d='M8 5h1'/%3E%3Cpath stroke='%23b8381a' d='M9 5h1M6 8h1'/%3E%3Cpath stroke='%23b9391b' d='M10 5h1'/%3E%3Cpath stroke='%23ba391b' d='M11 5h1M6 9h1m-2 1h1'/%3E%3Cpath stroke='%23bc3b1b' d='M12 5h1m-2 1h1m-6 5h1m-2 1h1'/%3E%3Cpath stroke='%23dc9887' d='M14 5h1'/%3E%3Cpath stroke='%23c85d42' d='M15 5h1M5 15h1'/%3E%3Cpath stroke='%23611f0e' d='M1 6h1'/%3E%3Cpath stroke='%23a23217' d='M3 6h1'/%3E%3Cpath stroke='%23d79585' d='M6 6h1'/%3E%3Cpath stroke='%23d89585' d='M7 6h1'/%3E%3Cpath stroke='%23b8371a' d='M8 6h1'/%3E%3Cpath stroke='%23ba391a' d='M9 6h1'/%3E%3Cpath stroke='%23bb3a1b' d='M10 6h1m-5 4h1'/%3E%3Cpath stroke='%23dd9887' d='M13 6h3m-4 1h1m-2 1h1M9 9h1m-2 2h1m-2 1h1m-2 1h1m-2 1h2'/%3E%3Cpath stroke='%23c03e1d' d='M17 6h1m-2 1h3m0 1h1m-1 1h1M7 16h1m-2 1h2m0 1h1'/%3E%3Cpath stroke='%2365200e' d='M1 7h1'/%3E%3Cpath stroke='%23902d15' d='M2 7h1'/%3E%3Cpath stroke='%23a73418' d='M3 7h1'/%3E%3Cpath stroke='%23af3518' d='M4 7h1'/%3E%3Cpath stroke='%23b43619' d='M5 7h1'/%3E%3Cpath stroke='%23d99585' d='M6 7h1'/%3E%3Cpath stroke='%23da9686' d='M7 7h1'/%3E%3Cpath stroke='%23db9686' d='M8 7h1M7 8h1'/%3E%3Cpath stroke='%23bc3a1b' d='M9 7h1M7 9h1'/%3E%3Cpath stroke='%23bd3b1b' d='M10 7h1m-4 3h1'/%3E%3Cpath stroke='%23be3c1c' d='M11 7h1m-2 1h1m-3 2h1m-2 1h1'/%3E%3Cpath stroke='%23de9987' d='M13 7h2m-3 1h2m-4 1h2m-3 1h1m-2 2h1m-2 2h1'/%3E%3Cpath stroke='%23c03f1d' d='M15 7h1m-9 8h1'/%3E%3Cpath stroke='%236a220f' d='M1 8h1'/%3E%3Cpath stroke='%23952f15' d='M2 8h1'/%3E%3Cpath stroke='%23ac3518' d='M3 8h1'/%3E%3Cpath stroke='%23b63719' d='M5 8h1'/%3E%3Cpath stroke='%23dc9786' d='M8 8h2M8 9h1'/%3E%3Cpath stroke='%23c2401d' d='M14 8h1m2 0h1m1 3h1M8 14h1m-1 2h1m-1 1h1m0 1h1m1 1h1'/%3E%3Cpath stroke='%23c2401e' d='M15 8h2m1 1h1M8 15h1'/%3E%3Cpath stroke='%23c13f1d' d='M18 8h1m0 2h1M9 19h2'/%3E%3Cpath stroke='%23702410' d='M1 9h1'/%3E%3Cpath stroke='%239b3016' d='M2 9h1'/%3E%3Cpath stroke='%23b03619' d='M3 9h1'/%3E%3Cpath stroke='%23b9381a' d='M5 9h1'/%3E%3Cpath stroke='%23df9a88' d='M12 9h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23c4421e' d='M13 9h1m2 0h2m0 1h1M9 13h1m9 1h1m-1 1h1M9 16h1m9 0h1M9 17h1m0 1h1m3 1h3'/%3E%3Cpath stroke='%23c5431e' d='M14 9h1'/%3E%3Cpath stroke='%23c5431f' d='M15 9h1m-4 1h1m5 1h1m-9 1h1m-2 2h1m-1 1h1m0 2h1m0 1h1m6 0h1'/%3E%3Cpath stroke='%239e3217' d='M2 10h1'/%3E%3Cpath stroke='%23b4381a' d='M3 10h1'/%3E%3Cpath stroke='%23df9a87' d='M10 10h1m-2 1h1m-2 2h1'/%3E%3Cpath stroke='%23c6441f' d='M13 10h1m3 0h1m-8 3h1m-1 3h1'/%3E%3Cpath stroke='%23c74520' d='M14 10h2m-6 4h1m-1 1h1m7 2h1m-7 1h1m4 0h1'/%3E%3Cpath stroke='%23c7451f' d='M16 10h1m1 2h1'/%3E%3Cpath stroke='%237b2711' d='M1 11h1'/%3E%3Cpath stroke='%23a13217' d='M2 11h1'/%3E%3Cpath stroke='%23b7391a' d='M3 11h1'/%3E%3Cpath stroke='%23e09b88' d='M11 11h1'/%3E%3Cpath stroke='%23e29d89' d='M12 11h1'/%3E%3Cpath stroke='%23c94621' d='M13 11h1m-3 2h1'/%3E%3Cpath stroke='%23ca4721' d='M14 11h1m2 1h1m-7 2h1m-1 1h1m0 2h1m2 1h1'/%3E%3Cpath stroke='%23ca4821' d='M15 11h1m1 6h1'/%3E%3Cpath stroke='%23c94620' d='M16 11h1m1 3h1m-8 2h1m6 0h1'/%3E%3Cpath stroke='%23c84620' d='M17 11h1m0 2h1'/%3E%3Cpath stroke='%23a53418' d='M2 12h1'/%3E%3Cpath stroke='%23b83a1b' d='M3 12h1'/%3E%3Cpath stroke='%23e19d89' d='M11 12h1'/%3E%3Cpath stroke='%23e39e89' d='M12 12h1'/%3E%3Cpath stroke='%23e0947c' d='M13 12h1'/%3E%3Cpath stroke='%23cc4a22' d='M14 12h1m-3 2h1m4 0h1m-6 1h1'/%3E%3Cpath stroke='%23cd4a22' d='M15 12h1m0 1h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%23cb4922' d='M16 12h1m0 1h1m-5 4h1'/%3E%3Cpath stroke='%23c3411e' d='M19 12h1m-1 1h1m-1 4h1m-8 2h2m3 0h1'/%3E%3Cpath stroke='%23a93618' d='M2 13h1'/%3E%3Cpath stroke='%23dd9987' d='M7 13h1m-2 2h1'/%3E%3Cpath stroke='%23e39f8a' d='M12 13h1'/%3E%3Cpath stroke='%23e59f8b' d='M13 13h1'/%3E%3Cpath stroke='%23e5a08b' d='M14 13h1m-2 1h1'/%3E%3Cpath stroke='%23ce4c23' d='M15 13h1m0 3h1'/%3E%3Cpath stroke='%23882b13' d='M1 14h1'/%3E%3Cpath stroke='%23e6a08b' d='M14 14h1'/%3E%3Cpath stroke='%23e6a18b' d='M15 14h1m-2 1h1'/%3E%3Cpath stroke='%23ce4b23' d='M16 14h1m-4 1h1'/%3E%3Cpath stroke='%238b2c14' d='M1 15h1m-1 1h1'/%3E%3Cpath stroke='%23ac3619' d='M2 15h1'/%3E%3Cpath stroke='%23d76b48' d='M15 15h1'/%3E%3Cpath stroke='%23cf4c23' d='M16 15h1m-2 1h1'/%3E%3Cpath stroke='%23c94721' d='M18 15h1m-3 3h1'/%3E%3Cpath stroke='%23bb3c1b' d='M3 16h1'/%3E%3Cpath stroke='%23bf3e1d' d='M6 16h1'/%3E%3Cpath stroke='%23cb4821' d='M12 16h1'/%3E%3Cpath stroke='%23cd4b23' d='M14 16h1'/%3E%3Cpath stroke='%23cc4922' d='M17 16h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%238d2d14' d='M1 17h1'/%3E%3Cpath stroke='%23bc3c1b' d='M3 17h1m-1 1h1'/%3E%3Cpath stroke='%23c84520' d='M11 17h1m1 1h1'/%3E%3Cpath stroke='%23ae3719' d='M2 18h1'/%3E%3Cpath stroke='%23c94720' d='M14 18h1'/%3E%3Cpath stroke='%23c95839' d='M19 18h1'/%3E%3Cpath stroke='%23a7bdf0' d='M0 19h1m0 1h1'/%3E%3Cpath stroke='%23ead7d3' d='M1 19h1'/%3E%3Cpath stroke='%23b34e35' d='M2 19h1'/%3E%3Cpath stroke='%23c03e1c' d='M8 19h1'/%3E%3Cpath stroke='%23c9583a' d='M18 19h1'/%3E%3Cpath stroke='%23f3dbd4' d='M19 19h1'/%3E%3Cpath stroke='%23a7bcef' d='M20 19h1m-2 1h1'/%3E%3C/svg%3E")
			}
			
			.status-bar{
				margin: 0 3px;
				box-shadow: inset 0 1px 2px grey;
				padding: 2px 1px;
				gap: 0
			}
			
			.status-bar-field{
				-webkit-font-smoothing: antialiased;
				box-shadow: none;
				padding: 1px 2px;
				border-right: 1px solid rgba(208,206,191,.75);
				border-left: 1px solid hsla(0,0%,100%,.75)
			}
			
			.status-bar-field: first-of-type{
				border-left: none
			}
			
			.status-bar-field: last-of-type{
				border-right: none
			}
			
			button{
				-webkit-font-smoothing: antialiased;
				box-sizing: border-box;
				border: 1px solid #003c74;
				background: linear-gradient(180deg,#fff,#ecebe5 86%,#d8d0c4);
				box-shadow: none;
				border-radius: 3px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: none;
				background: linear-gradient(180deg,#cdcac3,#e3e3db 8%,#e5e5de 94%,#f2f2f1)
			}
			
			button: not(: disabled): hover{
				box-shadow: inset -1px 1px #fff0cf,inset 1px 2px #fdd889,inset -2px 2px #fbc761,inset 2px -2px #e5a01a
			}
			
			button.focused,button: focus{
				box-shadow: inset -1px 1px #cee7ff,inset 1px 2px #98b8ea,inset -2px 2px #bcd4f6,inset 1px -1px #89ade4,inset 2px -2px #89ade4
			}
			
			button: :-moz-focus-inner{
				border: 0
			}
			
			input,label,option,select,textarea{
				-webkit-font-smoothing: antialiased
			}
			
			input[type=radio]{
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				margin: 0;
				background: 0;
				position: fixed;
				opacity: 0;
				border: none
			}
			
			input[type=radio]+label{
				line-height: 16px
			}
			
			input[type=radio]+label: before{
				background: linear-gradient(135deg,#dcdcd7,#fff);
				border-radius: 50%;
				border: 1px solid #1d5281
			}
			
			input[type=radio]: not([disabled]): not(: active)+label: hover: before{
				box-shadow: inset -2px -2px #f8b636,inset 2px 2px #fedf9c
			}
			
			input[type=radio]: active+label: before{
				background: linear-gradient(135deg,#b0b0a7,#e3e1d2)
			}
			
			input[type=radio]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23a9dca6' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%234dbf4a' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23a0d29e' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%2355d551' d='M1 1h1'/%3E%3Cpath stroke='%2343c33f' d='M2 1h1'/%3E%3Cpath stroke='%2329a826' d='M3 1h1'/%3E%3Cpath stroke='%239acc98' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%2342c33f' d='M1 2h1'/%3E%3Cpath stroke='%2338b935' d='M2 2h1'/%3E%3Cpath stroke='%2321a121' d='M3 2h1'/%3E%3Cpath stroke='%23269623' d='M4 2h1'/%3E%3Cpath stroke='%232aa827' d='M1 3h1'/%3E%3Cpath stroke='%2322a220' d='M2 3h1'/%3E%3Cpath stroke='%23139210' d='M3 3h1'/%3E%3Cpath stroke='%2398c897' d='M4 3h1'/%3E%3Cpath stroke='%23249624' d='M2 4h1'/%3E%3Cpath stroke='%2398c997' d='M3 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: focus+label{
				outline: 1px dotted #000
			}
			
			input[type=radio][disabled]+label: before{
				border: 1px solid #cac8bb;
				background: #fff
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e8e6da' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23d2ceb5' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23e5e3d4' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%23d7d3bd' d='M1 1h1'/%3E%3Cpath stroke='%23d0ccb2' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23c7c2a2' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%23e2dfd0' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%23cdc8ac' d='M2 2h1'/%3E%3Cpath stroke='%23c5bf9f' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%23c3bd9c' d='M4 2h1'/%3E%3Cpath stroke='%23bfb995' d='M3 3h1'/%3E%3Cpath stroke='%23e2dfcf' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23c4be9d' d='M2 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password],textarea: :selection{
				background: #2267cb;
				color: #fff
			}
			
			input[type=range]: :-webkit-slider-thumb{
				height: 21px;
				width: 11px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(-8px)
			}
			
			input[type=range]: :-moz-range-thumb{
				height: 21px;
				width: 11px;
				border: 0;
				border-radius: 0;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(2px)
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range]: :-moz-range-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(-10px)
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(0)
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			fieldset{
				box-shadow: none;
				background: #fff;
				border: 1px solid #d0d0bf;
				border-radius: 4px;
				padding-top: 10px
			}
			
			legend{
				background: transparent;
				color: #0046d5
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			.field-row{
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			}
			
			.field-row>*+*{
				margin-left: 6px
			}
			
			[class^=field-row]+[class^=field-row]{
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			.field-row-stacked{
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				flex-direction: column
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			.field-row-stacked *+*{
				margin-top: 6px
			}
			
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				margin-left: -1px;
				margin-right: 2px;
				border-radius: 0;
				border-color: #91a7b4;
				border-top-right-radius: 3px;
				border-top-left-radius: 3px;
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				margin-right: -1px;
				border-bottom: 1px solid transparent;
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				z-index: -1;
				top: 100%;
				left: -1px;
				height: 2px;
				width: 0;
				border-left: 1px solid #919b9c
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			[role=tabpanel]{
				box-shadow: inset 1px 1px #fcfcfe,inset -1px -1px #fcfcfe,1px 2px 2px 0 rgba(208,206,191,.75)
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				-webkit-font-smoothing: auto;
				border: 1px solid #7f9db9;
				padding: 2px 5px
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			@keyframes sliding{
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					transform: translateX(-30px)
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				to{
					transform: translateX(100%)
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			}
			
			progress{
				box-sizing: border-box;
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				height: 14px;
				border: 1px solid #686868;
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				-webkit-box-shadow: inset 0 0 1px 0 #686868;
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				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
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				animation: sliding 2s linear 0s infinite;
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			progress:not([value])::after {
				box-sizing: border-box;
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				top: 1px;
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				padding: 1px 2px;
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
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		</style>
	</head>
	<body>
		<script>
			var log = console.log;
			var theme = 'light';

			var special_col_names = ["trial_index","arm_name","trial_status","generation_method","generation_node","hostname","run_time","start_time","exit_code","signal","end_time","program_string"]

			var result_names = [
			    "ACCURACY",
			    "RUNTIME"
			];
			var result_min_max = [
			    "max",
			    "min"
			];
			var tab_results_headers_json = [
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			    "arm_name",
			    "trial_status",
			    "generation_method",
			    "generation_node",
			    "ACCURACY",
			    "RUNTIME",
			    "recent_samples_size",
			    "feature_id",
			    "batch_size",
			    "divergence",
			    "detect_batch",
			    "statistic",
			    "significance",
			    "subsets"
			];
			var tab_results_csv_json = [
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			    [
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			    [
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			    [
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			    [
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			    [
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			    [
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			    [
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			    [
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			    [
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			    [
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			    [
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			    [
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 323 feature_id 16 batch_size 2885 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.3680476661268622 subsets 95",
			        323,
			        16,
			        2885,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.3680476661268622,
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			        "None",
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			    [
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			        313,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1840 feature_id 8 batch_size 247 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.5425090701561421 subsets 74",
			        1840,
			        8,
			        247,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.5425090701561421,
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			    [
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			        115,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2122 feature_id 26 batch_size 1121 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.10602706231276332 subsets 35",
			        2122,
			        26,
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			        "str\\(\\'H\\'\\)",
			        3,
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			        0.10602706231276332,
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			    ],
			    [
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			        134,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2297 feature_id 26 batch_size 3159 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 55",
			        2297,
			        26,
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			        "str\\(\\'KL\\'\\)",
			        1,
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			        0.999,
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			    ],
			    [
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			        114,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 330 feature_id 0 batch_size 1145 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.6973731963693338 subsets 43",
			        330,
			        0,
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			        "str\\(\\'KL\\'\\)",
			        3,
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			    [
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			        168,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2671 feature_id 26 batch_size 1169 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.6987780367704507 subsets 51",
			        2671,
			        26,
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			        "str\\(\\'KL\\'\\)",
			        3,
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			        0.6987780367704507,
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			    [
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			        121,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 46 feature_id 0 batch_size 1754 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.6398345350665371 subsets 42",
			        46,
			        0,
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			        2,
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			        0.6398345350665371,
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			    ],
			    [
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			        97,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2407 feature_id 0 batch_size 2272 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 41",
			        2407,
			        0,
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			        "str\\(\\'H\\'\\)",
			        3,
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			        0.001,
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			    ],
			    [
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			        90,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1292 feature_id 0 batch_size 604 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.7186407590939934 subsets 66",
			        1292,
			        0,
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			        "str\\(\\'H\\'\\)",
			        3,
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			        0.7186407590939934,
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			    ],
			    [
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			        96,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4277 feature_id 0 batch_size 5000 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 58",
			        4277,
			        0,
			        5000,
			        "str\\(\\'KL\\'\\)",
			        1,
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			        0.999,
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			    ],
			    [
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			        82,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4187 feature_id 0 batch_size 2568 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 19",
			        4187,
			        0,
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			        "str\\(\\'KL\\'\\)",
			        3,
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			        0.001,
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			    ],
			    [
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			        146,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3991 feature_id 26 batch_size 3908 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        3991,
			        26,
			        3908,
			        "str\\(\\'KL\\'\\)",
			        3,
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			        0.001,
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			        "None",
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			        91,
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			    ],
			    [
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			        1745412351,
			        104,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1371 feature_id 0 batch_size 5000 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.7170996422205229 subsets 40",
			        1371,
			        0,
			        5000,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.7170996422205229,
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			        91,
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			    ],
			    [
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			        1745412687,
			        83,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2013 feature_id 0 batch_size 3135 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.14866353050480108 subsets 37",
			        2013,
			        0,
			        3135,
			        "str\\(\\'H\\'\\)",
			        3,
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			        0.14866353050480108,
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			    ],
			    [
			        1745413087,
			        1745413273,
			        186,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1673 feature_id 1 batch_size 3261 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 29",
			        1673,
			        1,
			        3261,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
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			        "None",
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			        -1,
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			        4628556
			    ],
			    [
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			        129,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3281 feature_id 0 batch_size 3827 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 4",
			        3281,
			        0,
			        3827,
			        "str\\(\\'H\\'\\)",
			        1,
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			        0.999,
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			        "None",
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			        114,
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			    ],
			    [
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			        1745414065,
			        102,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2417 feature_id 0 batch_size 4225 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 59",
			        2417,
			        0,
			        4225,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
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			        "None",
			        "i7183",
			        69,
			        688.0859375,
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			        4629437
			    ],
			    [
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			        1745414352,
			        105,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2676 feature_id 0 batch_size 2843 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 51",
			        2676,
			        0,
			        2843,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        51,
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			        "None",
			        "i7185",
			        87,
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			        -1,
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			    ],
			    [
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			        1745414890,
			        136,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 652 feature_id 0 batch_size 1989 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.8258417433648227 subsets 1",
			        652,
			        0,
			        1989,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.8258417433648227,
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			        120,
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			    ],
			    [
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			        3668,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 698 feature_id 13 batch_size 22 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 100",
			        698,
			        13,
			        22,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
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			        "None",
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			        3642,
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			    ],
			    [
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			        104,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1773 feature_id 0 batch_size 4240 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.22057636759928 subsets 66",
			        1773,
			        0,
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			        "str\\(\\'H\\'\\)",
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			        0.22057636759928,
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			        "None",
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			    ],
			    [
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			        207,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4133 feature_id 13 batch_size 3297 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 100",
			        4133,
			        13,
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			        "str\\(\\'H\\'\\)",
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			        0.999,
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			    [
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			        199,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2845 feature_id 9 batch_size 3992 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.6028577263742978 subsets 68",
			        2845,
			        9,
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			        "str\\(\\'KL\\'\\)",
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			    ],
			    [
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			        1745416929,
			        222,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3140 feature_id 9 batch_size 4568 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.717486311747869 subsets 22",
			        3140,
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			        "str\\(\\'KL\\'\\)",
			        3,
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			        177,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1782 feature_id 9 batch_size 1065 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.488831280518503 subsets 33",
			        1782,
			        9,
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			        "str\\(\\'H\\'\\)",
			        3,
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			        235,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 534 feature_id 10 batch_size 4411 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.18574158711386943 subsets 5",
			        534,
			        10,
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			        "str\\(\\'KL\\'\\)",
			        1,
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			        232,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2872 feature_id 9 batch_size 1404 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.3705496549427785 subsets 6",
			        2872,
			        9,
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			        456,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2258 feature_id 14 batch_size 306 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 75",
			        2258,
			        14,
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			        "str\\(\\'H\\'\\)",
			        1,
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			        116,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1185 feature_id 26 batch_size 4838 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.30995338634547753 subsets 55",
			        1185,
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			        "str\\(\\'KL\\'\\)",
			        1,
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			        0.30995338634547753,
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			    [
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			        264,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3998 feature_id 3 batch_size 1145 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.9671547673434537 subsets 1",
			        3998,
			        3,
			        1145,
			        "str\\(\\'H\\'\\)",
			        1,
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			    [
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			        181,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2136 feature_id 3 batch_size 4824 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.8796507045827497 subsets 11",
			        2136,
			        3,
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			        "str\\(\\'H\\'\\)",
			        1,
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			        0.8796507045827497,
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			        294,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2128 feature_id 3 batch_size 3807 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 3",
			        2128,
			        3,
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			        "str\\(\\'KL\\'\\)",
			        1,
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			        0.001,
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			    [
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			        363,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2917 feature_id 3 batch_size 4933 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.7912605614522304 subsets 51",
			        2917,
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			        "str\\(\\'KL\\'\\)",
			        1,
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			    [
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			        245,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3715 feature_id 3 batch_size 2005 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 94",
			        3715,
			        3,
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			        "str\\(\\'H\\'\\)",
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			        300,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3880 feature_id 1 batch_size 1886 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.0781114659768715 subsets 38",
			        3880,
			        1,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        387,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4906 feature_id 4 batch_size 2661 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 71",
			        4906,
			        4,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        320,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1429 feature_id 1 batch_size 2387 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.11056052905830599 subsets 11",
			        1429,
			        1,
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			        "str\\(\\'H\\'\\)",
			        1,
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			    [
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			        235,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4576 feature_id 13 batch_size 4808 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.13298341424720267 subsets 100",
			        4576,
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			        "str\\(\\'KL\\'\\)",
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			    [
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			        211,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1070 feature_id 23 batch_size 2464 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 100",
			        1070,
			        23,
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			        "str\\(\\'KL\\'\\)",
			        3,
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			        0.001,
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			        "None",
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			    [
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			        311,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 944 feature_id 12 batch_size 1771 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 97",
			        944,
			        12,
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			        "str\\(\\'H\\'\\)",
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			        0.999,
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			    [
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			        289,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2437 feature_id 1 batch_size 891 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.41613935244692124 subsets 1",
			        2437,
			        1,
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			        "str\\(\\'KL\\'\\)",
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			    [
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			        218,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1596 feature_id 8 batch_size 2412 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.09159623281146675 subsets 20",
			        1596,
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			        "str\\(\\'KL\\'\\)",
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			    [
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			        206,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2697 feature_id 3 batch_size 4878 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.21064422543523179 subsets 30",
			        2697,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        263,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 31 feature_id 10 batch_size 1627 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 1",
			        31,
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			    [
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			        186,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1424 feature_id 10 batch_size 66 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 24",
			        1424,
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			    [
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			        283,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3164 feature_id 3 batch_size 472 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        3164,
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			    [
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			        244,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2580 feature_id 1 batch_size 11 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        2580,
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			        1745428213,
			        193,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1981 feature_id 4 batch_size 3166 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.5963111804569254 subsets 8",
			        1981,
			        4,
			        3166,
			        "str\\(\\'H\\'\\)",
			        1,
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			        0.5963111804569254,
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			    [
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			        427,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3434 feature_id 4 batch_size 1916 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 1",
			        3434,
			        4,
			        1916,
			        "str\\(\\'KL\\'\\)",
			        1,
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			        0.001,
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			    [
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			        104,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2085 feature_id 26 batch_size 2614 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.43461722590676455 subsets 40",
			        2085,
			        26,
			        2614,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.43461722590676455,
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			    [
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			        201,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3624 feature_id 3 batch_size 2407 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.6619872493971871 subsets 11",
			        3624,
			        3,
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			        "str\\(\\'H\\'\\)",
			        1,
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			        0.6619872493971871,
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			    [
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			        174,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1118 feature_id 3 batch_size 3725 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.9255962789622971 subsets 28",
			        1118,
			        3,
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			        "str\\(\\'KL\\'\\)",
			        1,
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			        0.9255962789622971,
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			    [
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			        215,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 366 feature_id 13 batch_size 2518 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 100",
			        366,
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			        "str\\(\\'KL\\'\\)",
			        3,
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			    [
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			        175,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4306 feature_id 4 batch_size 3445 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.6878475723314567 subsets 8",
			        4306,
			        4,
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			        "str\\(\\'H\\'\\)",
			        1,
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			        0.6878475723314567,
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			        4647191
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			    [
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			        202,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 392 feature_id 4 batch_size 4118 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.661445999310827 subsets 88",
			        392,
			        4,
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			        "str\\(\\'H\\'\\)",
			        3,
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			        0.661445999310827,
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			    [
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			        201,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 744 feature_id 10 batch_size 3303 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 93",
			        744,
			        10,
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			        "str\\(\\'H\\'\\)",
			        3,
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			        0.999,
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			    [
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			        232,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1049 feature_id 4 batch_size 3949 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 95",
			        1049,
			        4,
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			        "str\\(\\'KL\\'\\)",
			        3,
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			        0.999,
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			    [
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			        184,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 959 feature_id 3 batch_size 2412 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.5621911505214108 subsets 14",
			        959,
			        3,
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			        "str\\(\\'KL\\'\\)",
			        1,
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			        0.5621911505214108,
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			    [
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			        192,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 993 feature_id 4 batch_size 1583 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 100",
			        993,
			        4,
			        1583,
			        "str\\(\\'H\\'\\)",
			        3,
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			        0.999,
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			    [
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			        1745434154,
			        232,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2268 feature_id 10 batch_size 3599 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.6293483478811008 subsets 5",
			        2268,
			        10,
			        3599,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.6293483478811008,
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			        4649707
			    ],
			    [
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			        1745434573,
			        209,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 903 feature_id 4 batch_size 126 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.3613106829048762 subsets 29",
			        903,
			        4,
			        126,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.3613106829048762,
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			    ],
			    [
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			        1745434999,
			        141,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1268 feature_id 0 batch_size 540 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.49302341937521715 subsets 1",
			        1268,
			        0,
			        540,
			        "str\\(\\'KL\\'\\)",
			        1,
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			        0.49302341937521715,
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			        125,
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			    ],
			    [
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			        116,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1603 feature_id 26 batch_size 3445 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.8111643254443153 subsets 86",
			        1603,
			        26,
			        3445,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.8111643254443153,
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			        -1,
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			        4650923
			    ],
			    [
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			        1745436175,
			        224,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1503 feature_id 2 batch_size 3776 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.7197428461890207 subsets 4",
			        1503,
			        2,
			        3776,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.7197428461890207,
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			        -1,
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			    ],
			    [
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			        1745436857,
			        336,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4382 feature_id 4 batch_size 3855 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 2",
			        4382,
			        4,
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			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
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			    [
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			        195,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 338 feature_id 9 batch_size 3906 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 2",
			        338,
			        9,
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			        "str\\(\\'H\\'\\)",
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			        0.999,
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			    [
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			        161,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3056 feature_id 1 batch_size 432 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 18",
			        3056,
			        1,
			        432,
			        "str\\(\\'H\\'\\)",
			        3,
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			        0.001,
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			    ],
			    [
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			        1745438155,
			        144,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 172 feature_id 26 batch_size 104 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.18650481642333075 subsets 100",
			        172,
			        26,
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			        "str\\(\\'H\\'\\)",
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			    ],
			    [
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			        281,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1491 feature_id 10 batch_size 565 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        1491,
			        10,
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			        "str\\(\\'H\\'\\)",
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			        0.001,
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			    [
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			        200,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1918 feature_id 4 batch_size 413 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 100",
			        1918,
			        4,
			        413,
			        "str\\(\\'H\\'\\)",
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			    ],
			    [
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			        190,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3625 feature_id 23 batch_size 4685 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 44",
			        3625,
			        23,
			        4685,
			        "str\\(\\'H\\'\\)",
			        3,
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			        0.999,
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			    [
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			        193,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4855 feature_id 13 batch_size 1620 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 18",
			        4855,
			        13,
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			        "str\\(\\'KL\\'\\)",
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			        0.999,
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			    ],
			    [
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			        181,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 837 feature_id 9 batch_size 2439 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 100",
			        837,
			        9,
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			        "str\\(\\'H\\'\\)",
			        3,
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			    [
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			        188,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 578 feature_id 15 batch_size 649 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.31680739097540866 subsets 100",
			        578,
			        15,
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			        "str\\(\\'H\\'\\)",
			        3,
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			        0.31680739097540866,
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			    [
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			        187,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2873 feature_id 14 batch_size 2193 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 100",
			        2873,
			        14,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        260,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4079 feature_id 14 batch_size 2107 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.575880499291234 subsets 65",
			        4079,
			        14,
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			        3,
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			    [
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			        333,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4113 feature_id 9 batch_size 2288 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 93",
			        4113,
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			        144,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2027 feature_id 26 batch_size 5000 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 64",
			        2027,
			        26,
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			        "str\\(\\'KL\\'\\)",
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			    [
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			        226,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1023 feature_id 3 batch_size 3844 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.5110837277636485 subsets 98",
			        1023,
			        3,
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			        "str\\(\\'H\\'\\)",
			        1,
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			    [
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			        260,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1091 feature_id 18 batch_size 439 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 48",
			        1091,
			        18,
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			        "str\\(\\'H\\'\\)",
			        1,
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			        0.999,
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			    [
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			        97,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 755 feature_id 0 batch_size 1002 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        755,
			        0,
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			    [
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			        227,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3759 feature_id 21 batch_size 4 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        3759,
			        21,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        243,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1227 feature_id 24 batch_size 1103 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        1227,
			        24,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        179,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 114 feature_id 13 batch_size 2383 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 10",
			        114,
			        13,
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			        "str\\(\\'H\\'\\)",
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			        0.999,
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			    [
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			        234,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1336 feature_id 9 batch_size 3434 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 100",
			        1336,
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			        "str\\(\\'H\\'\\)",
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			    ],
			    [
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			        186,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1876 feature_id 4 batch_size 4759 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 100",
			        1876,
			        4,
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			        "str\\(\\'KL\\'\\)",
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			    [
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			        109,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1113 feature_id 26 batch_size 1293 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 100",
			        1113,
			        26,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        166,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1180 feature_id 9 batch_size 4975 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.5168593621629716 subsets 76",
			        1180,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        186,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3462 feature_id 4 batch_size 3234 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 85",
			        3462,
			        4,
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			        "str\\(\\'KL\\'\\)",
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			        0.999,
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			    [
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			        389,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2979 feature_id 3 batch_size 3868 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        2979,
			        3,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        110,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2136 feature_id 26 batch_size 2961 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 46",
			        2136,
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			        "str\\(\\'KL\\'\\)",
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			    [
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			        136,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 481 feature_id 26 batch_size 773 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.6005040758096513 subsets 54",
			        481,
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			    [
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			        171,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1581 feature_id 26 batch_size 1436 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.8843434636321471 subsets 1",
			        1581,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        103,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3403 feature_id 26 batch_size 696 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.3054124453631255 subsets 51",
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			    [
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			        1745454427,
			        195,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 6 feature_id 9 batch_size 4824 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.399952759612953 subsets 10",
			        6,
			        9,
			        4824,
			        "str\\(\\'KL\\'\\)",
			        1,
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			        0.399952759612953,
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			    [
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			        173,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1665 feature_id 26 batch_size 608 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        1665,
			        26,
			        608,
			        "str\\(\\'KL\\'\\)",
			        1,
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			        0.999,
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			    [
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			        185,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 88 feature_id 9 batch_size 3468 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 97",
			        88,
			        9,
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			        "str\\(\\'KL\\'\\)",
			        3,
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			    [
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			        192,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 132 feature_id 13 batch_size 3313 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 39",
			        132,
			        13,
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			        "str\\(\\'H\\'\\)",
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			        0.999,
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			    [
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			        167,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 430 feature_id 10 batch_size 969 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 84",
			        430,
			        10,
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			        "str\\(\\'H\\'\\)",
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			        187,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2548 feature_id 10 batch_size 2812 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 35",
			        2548,
			        10,
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			        "str\\(\\'H\\'\\)",
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			        200,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3194 feature_id 9 batch_size 203 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        3194,
			        9,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        177,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 847 feature_id 9 batch_size 4720 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 87",
			        847,
			        9,
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			        "str\\(\\'H\\'\\)",
			        3,
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			    [
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			        192,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2197 feature_id 4 batch_size 1649 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 26",
			        2197,
			        4,
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			        "str\\(\\'KL\\'\\)",
			        3,
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			        0.999,
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			        213,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2369 feature_id 4 batch_size 1922 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.5727367877308657 subsets 52",
			        2369,
			        4,
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			        "str\\(\\'H\\'\\)",
			        3,
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			    [
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			        138,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4573 feature_id 0 batch_size 1740 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.2915656285308297 subsets 1",
			        4573,
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			    [
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			        291,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3077 feature_id 6 batch_size 91 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        3077,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        115,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 293 feature_id 26 batch_size 665 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 41",
			        293,
			        26,
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			        "str\\(\\'H\\'\\)",
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			        0.999,
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			    [
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			        120,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3751 feature_id 26 batch_size 2708 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        3751,
			        26,
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			        "str\\(\\'KL\\'\\)",
			        2,
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			        0.999,
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			        "None",
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			    ],
			    [
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			        173,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 398 feature_id 26 batch_size 1406 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.8033134786627336 subsets 100",
			        398,
			        26,
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			        "str\\(\\'KL\\'\\)",
			        2,
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			        0.8033134786627336,
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			    [
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			        172,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 471 feature_id 3 batch_size 2440 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 95",
			        471,
			        3,
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			        "str\\(\\'KL\\'\\)",
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			        0.999,
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			    [
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			        91,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4647 feature_id 0 batch_size 2257 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        4647,
			        0,
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			        "str\\(\\'KL\\'\\)",
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			    [
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			        192,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 156 feature_id 13 batch_size 507 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 49",
			        156,
			        13,
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			        "str\\(\\'H\\'\\)",
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			        0.001,
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			    [
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			        128,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 26 batch_size 2197 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.07916539855731353 subsets 1",
			        1,
			        26,
			        2197,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.07916539855731353,
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			    [
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			        368,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3127 feature_id 13 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        3127,
			        13,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        120,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4035 feature_id 26 batch_size 760 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.6233859102914556 subsets 1",
			        4035,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        237,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 55 feature_id 9 batch_size 1339 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        55,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        160,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 0 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 100",
			        1,
			        0,
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			    [
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			        97,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 359 feature_id 0 batch_size 4995 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        359,
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			    ],
			    [
			        1745468576,
			        1745468686,
			        110,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2894 feature_id 26 batch_size 1671 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.7697458713997379 subsets 28",
			        2894,
			        26,
			        1671,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.7697458713997379,
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			        101,
			        688.234375,
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			    [
			        1745469196,
			        1745469321,
			        125,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 0 batch_size 85 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.10826248743730484 subsets 1",
			        1,
			        0,
			        85,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.10826248743730484,
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			        "None",
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			        109,
			        689.29296875,
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			        4674725
			    ],
			    [
			        1745469795,
			        1745470026,
			        231,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2933 feature_id 9 batch_size 4723 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        2933,
			        9,
			        4723,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
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			        "None",
			        "i7183",
			        215,
			        686.046875,
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			        -1,
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			        4675114
			    ],
			    [
			        1745471237,
			        1745471409,
			        172,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4335 feature_id 26 batch_size 2131 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.44880733553673485 subsets 4",
			        4335,
			        26,
			        2131,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.44880733553673485,
			        4,
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			        "None",
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			        157,
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			        -1,
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			        4676050
			    ],
			    [
			        1745471617,
			        1745471851,
			        234,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 134 feature_id 1 batch_size 2021 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.3077316101581767 subsets 65",
			        134,
			        1,
			        2021,
			        "str\\(\\'H\\'\\)",
			        1,
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			        0.3077316101581767,
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			        4676293
			    ],
			    [
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			        189,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3459 feature_id 3 batch_size 4348 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 12",
			        3459,
			        3,
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			        "str\\(\\'KL\\'\\)",
			        3,
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			        0.001,
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			        4676650
			    ],
			    [
			        1745472707,
			        1745472963,
			        256,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2150 feature_id 3 batch_size 1541 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.7342158133655012 subsets 62",
			        2150,
			        3,
			        1541,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.7342158133655012,
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			        -1,
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			        4676963
			    ],
			    [
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			        1745473632,
			        325,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1150 feature_id 9 batch_size 1244 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        1150,
			        9,
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			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
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			        "None",
			        "i7180",
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			        4677350
			    ],
			    [
			        1745473997,
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			        163,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4984 feature_id 3 batch_size 747 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 32",
			        4984,
			        3,
			        747,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
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			        "None",
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			        149,
			        688.546875,
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			        -1,
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			        4677805
			    ],
			    [
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			        1745474930,
			        212,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2780 feature_id 13 batch_size 687 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.5565013582847522 subsets 9",
			        2780,
			        13,
			        687,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.5565013582847522,
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			        196,
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			        4678277
			    ],
			    [
			        1745475437,
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			        234,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 622 feature_id 13 batch_size 351 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 82",
			        622,
			        13,
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			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
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			        "None",
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			        -1,
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			        4678706
			    ],
			    [
			        1745475977,
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			        95,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2910 feature_id 26 batch_size 4117 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 33",
			        2910,
			        26,
			        4117,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
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			        "None",
			        "i7181",
			        80,
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			        685.3959517045455,
			        -1,
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			        4678985
			    ],
			    [
			        1745476728,
			        1745476925,
			        197,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 235 feature_id 4 batch_size 201 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 53",
			        235,
			        4,
			        201,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        53,
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			        "None",
			        "i7186",
			        185,
			        687.3125,
			        687.276599702381,
			        -1,
			        0.09531464174454829,
			        4679366
			    ],
			    [
			        1745477299,
			        1745477425,
			        126,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 747 feature_id 0 batch_size 5000 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 100",
			        747,
			        0,
			        5000,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        100,
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			        "None",
			        "i7186",
			        111,
			        688.8984375,
			        688.8423549107143,
			        -1,
			        0.3115264797507788,
			        4679670
			    ],
			    [
			        1745477919,
			        1745478157,
			        238,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 659 feature_id 9 batch_size 4993 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        659,
			        9,
			        4993,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
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			        "None",
			        "i7183",
			        229,
			        688.2890625,
			        688.25078125,
			        -1,
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			        4680053
			    ],
			    [
			        1745478519,
			        1745478650,
			        131,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 26 batch_size 5000 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 100",
			        1,
			        26,
			        5000,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        100,
			        0.21,
			        117,
			        0,
			        "None",
			        "i7185",
			        117,
			        688.2734375,
			        687.7670200892857,
			        -1,
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			        4680420
			    ],
			    [
			        1745479120,
			        1745479335,
			        215,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4824 feature_id 3 batch_size 2930 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.5543495022786408 subsets 6",
			        4824,
			        3,
			        2930,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.5543495022786408,
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			        "None",
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			        200,
			        688.5234375,
			        688.4897017045455,
			        -1,
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			        4680789
			    ],
			    [
			        1745479638,
			        1745479772,
			        134,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2053 feature_id 26 batch_size 3404 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        2053,
			        26,
			        3404,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        0.22,
			        123,
			        0,
			        "None",
			        "i7183",
			        123,
			        687.93359375,
			        687.86328125,
			        -1,
			        0.48409968847352025,
			        4681083
			    ],
			    [
			        1745480859,
			        1745481019,
			        160,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4969 feature_id 9 batch_size 4974 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.2793794377827669 subsets 2",
			        4969,
			        9,
			        4974,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.2793794377827669,
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			        150,
			        0,
			        "None",
			        "i7181",
			        150,
			        688.74609375,
			        688.4892003676471,
			        -1,
			        0.1239626168224299,
			        4682374
			    ],
			    [
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			        1745481311,
			        1072,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1372 feature_id 26 batch_size 116 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.6108808684779236 subsets 100",
			        1372,
			        26,
			        116,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.6108808684779236,
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			        0,
			        "None",
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			        1062,
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			        -1,
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			        4681733
			    ],
			    [
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			        212,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2451 feature_id 3 batch_size 29 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 100",
			        2451,
			        3,
			        29,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
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			        "None",
			        "i7180",
			        197,
			        688.9140625,
			        686.9991122159091,
			        -1,
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			        4682654
			    ],
			    [
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			        1745482592,
			        274,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1151 feature_id 26 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 1",
			        1151,
			        26,
			        1,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
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			        "None",
			        "i7178",
			        264,
			        694.1328125,
			        690.393588362069,
			        -1,
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			        4682880
			    ],
			    [
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			        121,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 26 batch_size 715 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 4",
			        1,
			        26,
			        715,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
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			        "i7176",
			        106,
			        688.45703125,
			        687.1123798076923,
			        -1,
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			        4683520
			    ],
			    [
			        1745484866,
			        1745485068,
			        202,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 855 feature_id 1 batch_size 4972 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 11",
			        855,
			        1,
			        4972,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        11,
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			        216,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2008 feature_id 4 batch_size 70 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        2008,
			        4,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 421 feature_id 3 batch_size 4968 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 81",
			        421,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3893 feature_id 26 batch_size 3744 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        3893,
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			        318,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3759 feature_id 4 batch_size 425 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 94",
			        3759,
			        4,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4803 feature_id 26 batch_size 1520 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 89",
			        4803,
			        26,
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			        "str\\(\\'H\\'\\)",
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			        229,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 154 feature_id 4 batch_size 4190 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 100",
			        154,
			        4,
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			    [
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			        147,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 276 feature_id 3 batch_size 3328 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.016571876435902976 subsets 65",
			        276,
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			        "str\\(\\'KL\\'\\)",
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			        95,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1249 feature_id 0 batch_size 777 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.17669055511095064 subsets 50",
			        1249,
			        0,
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			        "str\\(\\'KL\\'\\)",
			        2,
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			        0.17669055511095064,
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			    [
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			        276,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4359 feature_id 1 batch_size 4892 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.10395021818078423 subsets 83",
			        4359,
			        1,
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			        "str\\(\\'KL\\'\\)",
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			        96,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 901 feature_id 0 batch_size 1491 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        901,
			        0,
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			    [
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			        201,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3874 feature_id 3 batch_size 269 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 42",
			        3874,
			        3,
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			        "str\\(\\'H\\'\\)",
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			        200,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4427 feature_id 9 batch_size 353 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 84",
			        4427,
			        9,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        427,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 944 feature_id 13 batch_size 1331 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 100",
			        944,
			        13,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        166,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 193 feature_id 3 batch_size 2748 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 27",
			        193,
			        3,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        219,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 184 feature_id 13 batch_size 2165 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 100",
			        184,
			        13,
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			        "str\\(\\'KL\\'\\)",
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			        0.999,
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			    [
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			        316,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3874 feature_id 9 batch_size 862 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 89",
			        3874,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        127,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2575 feature_id 26 batch_size 855 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.2729636301384001 subsets 41",
			        2575,
			        26,
			        855,
			        "str\\(\\'H\\'\\)",
			        1,
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			    [
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			        185,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2187 feature_id 9 batch_size 1227 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.1352964522617302 subsets 66",
			        2187,
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			    [
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			        226,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1034 feature_id 13 batch_size 2096 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 37",
			        1034,
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			        "str\\(\\'KL\\'\\)",
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			        90,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 489 feature_id 26 batch_size 1313 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 1",
			        489,
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			        "str\\(\\'KL\\'\\)",
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			    [
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			        83,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4201 feature_id 0 batch_size 3975 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        4201,
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			    [
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			        104,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3743 feature_id 0 batch_size 3128 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        3743,
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			        253,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 129 feature_id 9 batch_size 4886 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 98",
			        129,
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			    [
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			        125,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1896 feature_id 26 batch_size 1392 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 100",
			        1896,
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			        "str\\(\\'KL\\'\\)",
			        3,
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			    [
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			        123,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 293 feature_id 26 batch_size 1740 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.7447650838782947 subsets 43",
			        293,
			        26,
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			        "str\\(\\'KL\\'\\)",
			        2,
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			    [
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			        234,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2529 feature_id 13 batch_size 922 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 15",
			        2529,
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			        419,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1053 feature_id 9 batch_size 167 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.4924433726217109 subsets 70",
			        1053,
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			        1,
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			    [
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			        366,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 693 feature_id 9 batch_size 608 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.050791437798220845 subsets 87",
			        693,
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			        221,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4125 feature_id 26 batch_size 454 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 74",
			        4125,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1311 feature_id 0 batch_size 1385 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 2",
			        1311,
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			        142,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1508 feature_id 26 batch_size 600 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        1508,
			        26,
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			        "str\\(\\'H\\'\\)",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2204 feature_id 0 batch_size 1043 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 63",
			        2204,
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			        194,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2505 feature_id 9 batch_size 3340 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 11",
			        2505,
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			        "str\\(\\'KL\\'\\)",
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			        233,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3386 feature_id 26 batch_size 199 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.8363343834045373 subsets 69",
			        3386,
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			        127,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1333 feature_id 26 batch_size 5000 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 100",
			        1333,
			        26,
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			        "str\\(\\'KL\\'\\)",
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			        0.999,
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			    [
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			        102,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1238 feature_id 26 batch_size 2336 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.6324779070902434 subsets 44",
			        1238,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        182,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3473 feature_id 26 batch_size 4558 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.3623616583090422 subsets 1",
			        3473,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        157,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2922 feature_id 26 batch_size 3810 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.2895161671168981 subsets 1",
			        2922,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        158,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3107 feature_id 26 batch_size 4839 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.5665863382447085 subsets 54",
			        3107,
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			    [
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			        270,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1257 feature_id 9 batch_size 857 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 3",
			        1257,
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			    [
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1723 feature_id 26 batch_size 5000 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 100",
			        1723,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2842 feature_id 26 batch_size 985 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        2842,
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			        76,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3510 feature_id 0 batch_size 4246 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 53",
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			    [
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			        110,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4555 feature_id 0 batch_size 2997 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        4555,
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			    [
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			        122,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1083 feature_id 26 batch_size 1090 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.42559697983212386 subsets 56",
			        1083,
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			        155,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2903 feature_id 0 batch_size 844 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 70",
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			        160,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1308 feature_id 0 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
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			        1745516931,
			        202,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4626 feature_id 9 batch_size 2498 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 100",
			        4626,
			        9,
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			        "str\\(\\'KL\\'\\)",
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			        173,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2988 feature_id 26 batch_size 3559 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.3101676628179522 subsets 1",
			        2988,
			        26,
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			        "str\\(\\'H\\'\\)",
			        1,
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			        108,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2325 feature_id 26 batch_size 1417 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.6046148787988304 subsets 1",
			        2325,
			        26,
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			        "str\\(\\'H\\'\\)",
			        3,
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			    [
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			        123,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1970 feature_id 0 batch_size 4757 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.9399647431469383 subsets 1",
			        1970,
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			    [
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			        404,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2013 feature_id 4 batch_size 790 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.9234569000026872 subsets 94",
			        2013,
			        4,
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			        166,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 462 feature_id 3 batch_size 4885 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.4760747944128341 subsets 1",
			        462,
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			    [
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			        117,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3864 feature_id 26 batch_size 3309 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 46",
			        3864,
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			        "str\\(\\'KL\\'\\)",
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			    [
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			        258,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2551 feature_id 13 batch_size 2660 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 100",
			        2551,
			        13,
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			        "str\\(\\'H\\'\\)",
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			        235,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 959 feature_id 9 batch_size 2583 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        959,
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			        213,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3695 feature_id 9 batch_size 2972 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 100",
			        3695,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        172,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3931 feature_id 13 batch_size 2662 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 1",
			        3931,
			        13,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        130,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1988 feature_id 26 batch_size 1739 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.9158757799034212 subsets 57",
			        1988,
			        26,
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			        "str\\(\\'KL\\'\\)",
			        2,
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			    [
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			        166,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 521 feature_id 9 batch_size 4877 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.19697015874382565 subsets 51",
			        521,
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			        "str\\(\\'KL\\'\\)",
			        2,
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			    [
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			        134,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 118 feature_id 26 batch_size 2749 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 79",
			        118,
			        26,
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			        "str\\(\\'KL\\'\\)",
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			        0.001,
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			        "i7176",
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			    ],
			    [
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			        282,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 226 feature_id 13 batch_size 1065 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 85",
			        226,
			        13,
			        1065,
			        "str\\(\\'H\\'\\)",
			        3,
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			        0.999,
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			    ],
			    [
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			        138,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1408 feature_id 0 batch_size 5000 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        1408,
			        0,
			        5000,
			        "str\\(\\'H\\'\\)",
			        2,
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			        0.999,
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			    ],
			    [
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			        337,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2770 feature_id 13 batch_size 2293 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        2770,
			        13,
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			        "str\\(\\'H\\'\\)",
			        1,
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			        0.999,
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			    ],
			    [
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			        109,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3836 feature_id 26 batch_size 2060 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        3836,
			        26,
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			        "str\\(\\'H\\'\\)",
			        3,
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			        0.999,
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			    ],
			    [
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			        215,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4995 feature_id 13 batch_size 582 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 100",
			        4995,
			        13,
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			        "str\\(\\'KL\\'\\)",
			        3,
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			        0.001,
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			    ],
			    [
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			        203,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 578 feature_id 26 batch_size 4303 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.04855956286535459 subsets 1",
			        578,
			        26,
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			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.04855956286535459,
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			    ],
			    [
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			        213,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1013 feature_id 13 batch_size 579 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.4853981262756908 subsets 7",
			        1013,
			        13,
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			        "str\\(\\'H\\'\\)",
			        2,
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			    ],
			    [
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			        131,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 405 feature_id 26 batch_size 1264 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.5059043202599929 subsets 1",
			        405,
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			        "str\\(\\'KL\\'\\)",
			        3,
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			    ],
			    [
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			        223,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2991 feature_id 13 batch_size 3107 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.08553291120525493 subsets 1",
			        2991,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        109,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2961 feature_id 26 batch_size 1863 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.48462378806372874 subsets 100",
			        2961,
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			        "str\\(\\'H\\'\\)",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3617 feature_id 26 batch_size 2727 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.2822218036083061 subsets 1",
			        3617,
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			        "str\\(\\'H\\'\\)",
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			        114,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4866 feature_id 26 batch_size 2225 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.24678761845986705 subsets 46",
			        4866,
			        26,
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			        "str\\(\\'H\\'\\)",
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			        111,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2466 feature_id 0 batch_size 1454 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.5038243322539497 subsets 1",
			        2466,
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			    [
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			        159,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 26 batch_size 892 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        5000,
			        26,
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			    [
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			        173,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 26 batch_size 2349 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 1",
			        5000,
			        26,
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			        261,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2670 feature_id 13 batch_size 2624 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.04747005384239021 subsets 1",
			        2670,
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			    [
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			        194,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1170 feature_id 1 batch_size 3674 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 4",
			        1170,
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			    [
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			        123,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4751 feature_id 26 batch_size 2468 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.9034885473031513 subsets 100",
			        4751,
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			        "str\\(\\'H\\'\\)",
			        3,
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			    [
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			        160,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4323 feature_id 26 batch_size 3481 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.7946264710050533 subsets 100",
			        4323,
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			    ],
			    [
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			        116,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 798 feature_id 26 batch_size 1046 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.5605082502638988 subsets 19",
			        798,
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			    [
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3395 feature_id 26 batch_size 327 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        3395,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        359,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3148 feature_id 9 batch_size 3224 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        3148,
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			        "str\\(\\'KL\\'\\)",
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			    ],
			    [
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			        142,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 26 batch_size 4412 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        5000,
			        26,
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			        "str\\(\\'H\\'\\)",
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			        0.999,
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			    [
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			        135,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3599 feature_id 26 batch_size 398 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.4786399747277357 subsets 1",
			        3599,
			        26,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        134,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3453 feature_id 26 batch_size 4194 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 100",
			        3453,
			        26,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        172,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2066 feature_id 26 batch_size 2827 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 100",
			        2066,
			        26,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        141,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 26 batch_size 4078 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 100",
			        5000,
			        26,
			        4078,
			        "str\\(\\'H\\'\\)",
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			        0.999,
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			    [
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			        266,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 597 feature_id 13 batch_size 1248 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        597,
			        13,
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			        "str\\(\\'KL\\'\\)",
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			    [
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			        134,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 26 batch_size 399 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        5000,
			        26,
			        399,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
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			    ],
			    [
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			        153,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4559 feature_id 26 batch_size 481 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.6575013084372715 subsets 1",
			        4559,
			        26,
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			        "str\\(\\'H\\'\\)",
			        1,
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			    [
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			        180,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2559 feature_id 1 batch_size 3273 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 15",
			        2559,
			        1,
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			        "str\\(\\'KL\\'\\)",
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			    [
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			        130,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4323 feature_id 26 batch_size 1212 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.5653716320312899 subsets 37",
			        4323,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        116,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3742 feature_id 26 batch_size 228 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 12",
			        3742,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        1745550013,
			        97,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4592 feature_id 26 batch_size 2951 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.6016658290162213 subsets 62",
			        4592,
			        26,
			        2951,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.6016658290162213,
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			        "None",
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			        87,
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			        -1,
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			    [
			        1745550716,
			        1745550825,
			        109,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2554 feature_id 26 batch_size 2853 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.2973001358583831 subsets 13",
			        2554,
			        26,
			        2853,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.2973001358583831,
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			    ],
			    [
			        1745551397,
			        1745551533,
			        136,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 300 feature_id 26 batch_size 2959 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 31",
			        300,
			        26,
			        2959,
			        "str\\(\\'H\\'\\)",
			        1,
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			        0.001,
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			        "None",
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			        -1,
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			    [
			        1745552048,
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			        143,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1341 feature_id 26 batch_size 1549 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.6804763015968025 subsets 31",
			        1341,
			        26,
			        1549,
			        "str\\(\\'H\\'\\)",
			        1,
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			        0.6804763015968025,
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			    ],
			    [
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			        371,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 392 feature_id 13 batch_size 1432 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.38008738739368086 subsets 100",
			        392,
			        13,
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			        "str\\(\\'KL\\'\\)",
			        1,
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			        0.38008738739368086,
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			        4715502
			    ],
			    [
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			        460,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1684 feature_id 13 batch_size 1521 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 100",
			        1684,
			        13,
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			        "str\\(\\'H\\'\\)",
			        1,
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			        0.001,
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			    [
			        1745554537,
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			        103,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 426 feature_id 26 batch_size 2439 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 22",
			        426,
			        26,
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			        "str\\(\\'H\\'\\)",
			        1,
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			        0.999,
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			    [
			        1745555457,
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			        128,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 26 batch_size 1325 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        5000,
			        26,
			        1325,
			        "str\\(\\'KL\\'\\)",
			        2,
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			        0.999,
			        1,
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			        4716624
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			    [
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			        181,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3952 feature_id 3 batch_size 1553 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 100",
			        3952,
			        3,
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			        "str\\(\\'KL\\'\\)",
			        3,
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			        0.999,
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			    ],
			    [
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			        1745558206,
			        306,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3292 feature_id 9 batch_size 4420 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 100",
			        3292,
			        9,
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			        "str\\(\\'KL\\'\\)",
			        2,
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			        0.001,
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			        "None",
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			    ],
			    [
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			        184,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1148 feature_id 26 batch_size 328 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 55",
			        1148,
			        26,
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			        "str\\(\\'H\\'\\)",
			        1,
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			        0.999,
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			        "None",
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			    ],
			    [
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			        213,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2609 feature_id 9 batch_size 2719 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 41",
			        2609,
			        9,
			        2719,
			        "str\\(\\'H\\'\\)",
			        1,
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			        0.999,
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			        "None",
			        "i7178",
			        199,
			        685.60546875,
			        641.4485085227273,
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			        4718564
			    ],
			    [
			        1745560879,
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			        301,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 119 feature_id 13 batch_size 4769 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        119,
			        13,
			        4769,
			        "str\\(\\'KL\\'\\)",
			        1,
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			        0.001,
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			        "None",
			        "i7183",
			        286,
			        687.74609375,
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			        -1,
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			        4719055
			    ],
			    [
			        1745562082,
			        1745562191,
			        109,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1591 feature_id 26 batch_size 177 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 11",
			        1591,
			        26,
			        177,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
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			        "None",
			        "i7181",
			        94,
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			        -1,
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			        4719575
			    ],
			    [
			        1745563079,
			        1745563381,
			        302,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2898 feature_id 9 batch_size 186 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 1",
			        2898,
			        9,
			        186,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
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			        "None",
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			        289,
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			        683.4088961693549,
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			        4720032
			    ],
			    [
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			        1745564337,
			        136,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4220 feature_id 26 batch_size 462 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.6971756177711336 subsets 46",
			        4220,
			        26,
			        462,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.6971756177711336,
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			        127,
			        688.6328125,
			        688.5684895833333,
			        -1,
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			    ],
			    [
			        1745564939,
			        1745565041,
			        102,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1297 feature_id 26 batch_size 500 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.8103090401932167 subsets 14",
			        1297,
			        26,
			        500,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.8103090401932167,
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			        91,
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			        -1,
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			        4720945
			    ],
			    [
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			        1745566330,
			        110,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3066 feature_id 0 batch_size 168 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 40",
			        3066,
			        0,
			        168,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
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			        "None",
			        "i7185",
			        100,
			        687.7265625,
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			        -1,
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			        4721564
			    ],
			    [
			        1745567460,
			        1745567688,
			        228,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 792 feature_id 13 batch_size 3816 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.059243234374990544 subsets 1",
			        792,
			        13,
			        3816,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.059243234374990544,
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			        "None",
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			        218,
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			        -1,
			        0.23775700934579438,
			        4722096
			    ],
			    [
			        1745568401,
			        1745568530,
			        129,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2417 feature_id 26 batch_size 1642 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.5967435252038893 subsets 19",
			        2417,
			        26,
			        1642,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.5967435252038893,
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			        117,
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			        -1,
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			        4722517
			    ],
			    [
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			        114,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1075 feature_id 26 batch_size 487 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.9467082272648406 subsets 18",
			        1075,
			        26,
			        487,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.9467082272648406,
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			        "None",
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			        101,
			        687.79296875,
			        687.7400841346154,
			        -1,
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			        4723044
			    ],
			    [
			        1745571528,
			        1745571619,
			        91,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 503 feature_id 0 batch_size 929 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.5279232344195411 subsets 84",
			        503,
			        0,
			        929,
			        "str\\(\\'H\\'\\)",
			        3,
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			        4723906
			    ],
			    [
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			        1745572276,
			        123,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4362 feature_id 26 batch_size 3302 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 25",
			        4362,
			        26,
			        3302,
			        "str\\(\\'KL\\'\\)",
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			        0.999,
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			        "None",
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			        687.703125,
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			        -1,
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			        4724180
			    ],
			    [
			        1745572902,
			        1745573031,
			        129,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 26 batch_size 2942 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        5000,
			        26,
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			        "str\\(\\'H\\'\\)",
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			        "None",
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			        117,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3929 feature_id 26 batch_size 637 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.881953422319508 subsets 20",
			        3929,
			        26,
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			        "str\\(\\'H\\'\\)",
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			        135,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4504 feature_id 26 batch_size 667 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.6611413513492373 subsets 91",
			        4504,
			        26,
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			        "str\\(\\'H\\'\\)",
			        3,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2963 feature_id 26 batch_size 2693 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 13",
			        2963,
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			        338,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4274 feature_id 14 batch_size 1118 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        4274,
			        14,
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			        "str\\(\\'KL\\'\\)",
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			        116,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3644 feature_id 26 batch_size 4750 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.5979823183378274 subsets 37",
			        3644,
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			        1,
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			    [
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			        216,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4870 feature_id 26 batch_size 1329 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.3577955924501699 subsets 1",
			        4870,
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			    [
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			        304,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 123 feature_id 26 batch_size 883 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.6432080766577059 subsets 100",
			        123,
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			    [
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			        210,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4737 feature_id 26 batch_size 2812 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.34027562577154036 subsets 1",
			        4737,
			        26,
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			    [
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			        384,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4659 feature_id 4 batch_size 1338 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 100",
			        4659,
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			        "str\\(\\'KL\\'\\)",
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			    [
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			        287,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4595 feature_id 9 batch_size 1539 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 89",
			        4595,
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			    [
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4178 feature_id 3 batch_size 4028 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 55",
			        4178,
			        3,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        328,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 375 feature_id 9 batch_size 2617 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.3095730625265294 subsets 1",
			        375,
			        9,
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			        "str\\(\\'H\\'\\)",
			        2,
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			    [
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			        167,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4984 feature_id 3 batch_size 4146 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.7766801477776107 subsets 24",
			        4984,
			        3,
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			        "str\\(\\'H\\'\\)",
			        2,
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			    ],
			    [
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			        122,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 0 batch_size 5000 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.8887440954368037 subsets 100",
			        5000,
			        0,
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			        "str\\(\\'KL\\'\\)",
			        2,
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			        0.8887440954368037,
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			    [
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			        147,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1874 feature_id 0 batch_size 2281 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 100",
			        1874,
			        0,
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			    [
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			        84,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1813 feature_id 0 batch_size 3514 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 75",
			        1813,
			        0,
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			        "str\\(\\'KL\\'\\)",
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			    [
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			        243,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3305 feature_id 1 batch_size 3449 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.11614425029934607 subsets 80",
			        3305,
			        1,
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			        "str\\(\\'KL\\'\\)",
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			    [
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			        191,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1737 feature_id 3 batch_size 2336 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        1737,
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			        "str\\(\\'KL\\'\\)",
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			    [
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			        166,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1690 feature_id 1 batch_size 1415 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.9956267305206997 subsets 100",
			        1690,
			        1,
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			        "str\\(\\'KL\\'\\)",
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			    [
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			        237,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 173 feature_id 10 batch_size 3131 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 100",
			        173,
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			        "str\\(\\'KL\\'\\)",
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			    [
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 126 feature_id 4 batch_size 4930 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 1",
			        126,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        160,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1382 feature_id 1 batch_size 1400 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 29",
			        1382,
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			    [
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			        160,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4445 feature_id 13 batch_size 3451 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 43",
			        4445,
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			    [
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4592 feature_id 13 batch_size 4970 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 15",
			        4592,
			        13,
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			        "str\\(\\'KL\\'\\)",
			        1,
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			    [
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			        300,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 547 feature_id 13 batch_size 3957 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.7829280435185006 subsets 1",
			        547,
			        13,
			        3957,
			        "str\\(\\'KL\\'\\)",
			        1,
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			    [
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			        568,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4352 feature_id 3 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.7686442708799008 subsets 21",
			        4352,
			        3,
			        1,
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			    [
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			        273,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4936 feature_id 1 batch_size 3981 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 71",
			        4936,
			        1,
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			        "str\\(\\'KL\\'\\)",
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			        185,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1214 feature_id 9 batch_size 1289 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 100",
			        1214,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2186 feature_id 0 batch_size 850 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 11",
			        2186,
			        0,
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			        116,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4392 feature_id 26 batch_size 3582 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.25091567504873913 subsets 55",
			        4392,
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			        "str\\(\\'KL\\'\\)",
			        2,
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			    [
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			        85,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2387 feature_id 0 batch_size 3504 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.43998661498398317 subsets 23",
			        2387,
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			        2,
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			        0.43998661498398317,
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			    [
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			        173,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3165 feature_id 10 batch_size 2277 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 2",
			        3165,
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			        "str\\(\\'H\\'\\)",
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			        0.999,
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			    [
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			        190,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 615 feature_id 3 batch_size 2548 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.21767167675426588 subsets 92",
			        615,
			        3,
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			        "str\\(\\'KL\\'\\)",
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			    [
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			        250,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 572 feature_id 3 batch_size 2866 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 22",
			        572,
			        3,
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			        "str\\(\\'H\\'\\)",
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			        0.999,
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			    [
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			        109,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 0 batch_size 3149 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 1",
			        5000,
			        0,
			        3149,
			        "str\\(\\'KL\\'\\)",
			        2,
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			        0.001,
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			    ],
			    [
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			        110,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 891 feature_id 26 batch_size 1429 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.5296189884508581 subsets 14",
			        891,
			        26,
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			        "str\\(\\'H\\'\\)",
			        2,
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			        0.5296189884508581,
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			    [
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			        300,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 321 feature_id 12 batch_size 3889 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 2",
			        321,
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			        "str\\(\\'KL\\'\\)",
			        1,
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			        0.001,
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			    ],
			    [
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			        210,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 593 feature_id 9 batch_size 2004 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 100",
			        593,
			        9,
			        2004,
			        "str\\(\\'H\\'\\)",
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			        0.001,
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			    ],
			    [
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			        167,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 26 batch_size 1251 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        1,
			        26,
			        1251,
			        "str\\(\\'KL\\'\\)",
			        1,
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			        0.001,
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			    ],
			    [
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			        13,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4773 feature_id 0 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 4",
			        4773,
			        0,
			        1,
			        "str\\(\\'H\\'\\)",
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			    [
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			        186,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 702 feature_id 3 batch_size 1515 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 91",
			        702,
			        3,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        228,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1353 feature_id 4 batch_size 4922 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 5",
			        1353,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        13,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 26 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        5000,
			        26,
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			        "str\\(\\'H\\'\\)",
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			        0.999,
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			    [
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			        124,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4182 feature_id 26 batch_size 870 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 17",
			        4182,
			        26,
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			        "str\\(\\'H\\'\\)",
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			        193,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 347 feature_id 13 batch_size 2869 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 100",
			        347,
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			        "str\\(\\'KL\\'\\)",
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			    [
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			        232,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1281 feature_id 3 batch_size 2118 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        1281,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        124,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4290 feature_id 26 batch_size 1341 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.7253018076203063 subsets 19",
			        4290,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        13,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 26 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        5000,
			        26,
			        1,
			        "str\\(\\'H\\'\\)",
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			    [
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			        110,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4537 feature_id 0 batch_size 1573 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.9439913919639795 subsets 49",
			        4537,
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			        201,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4948 feature_id 9 batch_size 3326 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 63",
			        4948,
			        9,
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			        179,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1063 feature_id 13 batch_size 4880 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.33065133416699544 subsets 1",
			        1063,
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			        123,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4007 feature_id 26 batch_size 2958 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 13",
			        4007,
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			        188,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 26 batch_size 993 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        1,
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			        14,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 26 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        5000,
			        26,
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			        147,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 26 batch_size 2555 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 100",
			        1,
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			        13,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 26 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        5000,
			        26,
			        1,
			        "str\\(\\'H\\'\\)",
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			        241,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4904 feature_id 1 batch_size 1133 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        4904,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1877 feature_id 3 batch_size 3684 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 100",
			        1877,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 26 batch_size 4514 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        1,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4896 feature_id 9 batch_size 1929 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 7",
			        4896,
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			        "str\\(\\'H\\'\\)",
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			        121,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3657 feature_id 26 batch_size 1455 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.6579735663228244 subsets 68",
			        3657,
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			        "str\\(\\'KL\\'\\)",
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			    [
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			        99,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 0 batch_size 1453 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 1",
			        1,
			        0,
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			        "str\\(\\'KL\\'\\)",
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			    [
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			        224,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 343 feature_id 13 batch_size 3931 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 82",
			        343,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1374 feature_id 26 batch_size 1320 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.6266644344218995 subsets 1",
			        1374,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 436 feature_id 4 batch_size 2679 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 100",
			        436,
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			        192,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2304 feature_id 10 batch_size 3736 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        2304,
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			        224,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 5000 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 1",
			        1,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 133 feature_id 4 batch_size 3171 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 83",
			        133,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 0 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 35",
			        5000,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 214 feature_id 26 batch_size 3228 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.5109070342016273 subsets 61",
			        214,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 239 feature_id 13 batch_size 4569 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
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			var tab_main_worker_cpu_ram_csv_json = [
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			    [
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			    [
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			    [
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			    [
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			    [
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			    [
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			    [
			        1745647035,
			        1323.046875,
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			];
			var tab_main_worker_cpu_ram_headers_json = [
			    "timestamp",
			    "ram_usage_mb",
			    "cpu_usage_percent"
			];
			
			"use strict";
			
			function add_default_layout_data (layout, no_height = 0) {
				layout["width"] = get_graph_width();
				if (!no_height) {
					layout["height"] = get_graph_height();
				}
				layout["paper_bgcolor"] = 'rgba(0,0,0,0)';
				layout["plot_bgcolor"] = 'rgba(0,0,0,0)';
			
				return layout;
			}
			
			function get_marker_size() {
				return 12;
			}
			
			function get_text_color() {
				return theme == "dark" ? "white" : "black";
			}
			
			function get_font_size() {
				return 14;
			}
			
			function get_graph_height() {
				return 800;
			}
			
			function get_font_data() {
				return {
					size: get_font_size(),
					color: get_text_color()
				}
			}
			
			function get_axis_title_data(name, axis_type = "") {
				if(axis_type) {
					return {
						text: name,
						type: axis_type,
						font: get_font_data()
					};
				}
			
				return {
					text: name,
					font: get_font_data()
				};
			}
			
			function get_graph_width() {
				var width = document.body.clientWidth || window.innerWidth || document.documentElement.clientWidth;
				return Math.max(800, Math.floor(width * 0.9));
			}
			
			function createTable(data, headers, table_name) {
				if (!$("#" + table_name).length) {
					console.error("#" + table_name + " not found");
					return;
				}
			
				new gridjs.Grid({
					columns: headers,
					data: data,
					search: true,
					sort: true,
					ellipsis: false
				}).render(document.getElementById(table_name));
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			
				colorize_table_entries();
			
				add_colorize_to_gridjs_table();
			}
			
			function download_as_file(id, filename) {
				var text = $("#" + id).text();
				var blob = new Blob([text], {
					type: "text/plain"
				});
				var link = document.createElement("a");
				link.href = URL.createObjectURL(blob);
				link.download = filename;
				document.body.appendChild(link);
				link.click();
				document.body.removeChild(link);
			}
			
			function copy_to_clipboard_from_id (id) {
				var text = $("#" + id).text();
			
				copy_to_clipboard(text);
			}
			
			function copy_to_clipboard(text) {
				if (!navigator.clipboard) {
					let textarea = document.createElement("textarea");
					textarea.value = text;
					document.body.appendChild(textarea);
					textarea.select();
					try {
						document.execCommand("copy");
					} catch (err) {
						console.error("Copy failed:", err);
					}
					document.body.removeChild(textarea);
					return;
				}
			
				navigator.clipboard.writeText(text).then(() => {
					console.log("Text copied to clipboard");
				}).catch(err => {
					console.error("Failed to copy text:", err);
				});
			}
			
			function filterNonEmptyRows(data) {
				var new_data = [];
				for (var row_idx = 0; row_idx <  data.length; row_idx++) {
					var line = data[row_idx];
			
					var line_has_empty_data = false;
			
					for (var col_idx = 0; col_idx < line.length; col_idx++) {
						var col_header_name = tab_results_headers_json[col_idx];
						var single_data_point = line[col_idx];
			
						if(single_data_point === "" && !special_col_names.includes(col_header_name)) {
							line_has_empty_data = true;
							continue;
						}
					}
			
					if(!line_has_empty_data) {
						new_data.push(line);
					}
				}
			
				return new_data;
			}
			
			function make_text_in_parallel_plot_nicer() {
				$(".parcoords g > g > text").each(function() {
					if (theme == "dark") {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "white")
							.css("stroke", "black")
							.css("stroke-width", "2px")
							.css("paint-order", "stroke fill");
					} else {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "black")
							.css("stroke", "unset")
							.css("stroke-width", "unset")
							.css("paint-order", "stroke fill");
					}
				});
			}
			
			function createParallelPlot(dataArray, headers, resultNames, ignoreColumns = []) {
				if ($("#parallel-plot").data("loaded") == "true") {
					return;
				}
			
				dataArray = filterNonEmptyRows(dataArray);
				const ignoreSet = new Set(ignoreColumns);
				const numericalCols = [];
				const categoricalCols = [];
				const categoryMappings = {};
			
				headers.forEach((header, colIndex) => {
					if (ignoreSet.has(header)) return;
			
					const values = dataArray.map(row => row[colIndex]);
					if (values.every(val => !isNaN(parseFloat(val)))) {
						numericalCols.push({ name: header, index: colIndex });
					} else {
						categoricalCols.push({ name: header, index: colIndex });
						const uniqueValues = [...new Set(values)];
						categoryMappings[header] = Object.fromEntries(uniqueValues.map((val, i) => [val, i]));
					}
				});
			
				const dimensions = [];
			
				numericalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => parseFloat(row[col.index])),
						range: [
							Math.min(...dataArray.map(row => parseFloat(row[col.index]))),
							Math.max(...dataArray.map(row => parseFloat(row[col.index])))
						]
					});
				});
			
				categoricalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => categoryMappings[col.name][row[col.index]]),
						tickvals: Object.values(categoryMappings[col.name]),
						ticktext: Object.keys(categoryMappings[col.name])
					});
				});
			
				let colorScale = null;
				let colorValues = null;
			
				if (resultNames.length > 1) {
					let selectBox = '<select id="result-select" style="margin-bottom: 10px;">';
					selectBox += '<option value="none">No color</option>';
					var k = 0;
					resultNames.forEach(resultName => {
						var minMax = result_min_max[k];
						if(minMax === undefined) {
							minMax = "min [automatically chosen]"
						}
						selectBox += `<option value="${resultName}">${resultName} (${minMax})</option>`;
						k = k + 1;
					});
					selectBox += '</select>';
					$("#parallel-plot").before(selectBox);
			
					$("#result-select").change(function() {
						const selectedResult = $(this).val();
						if (selectedResult === "none") {
							colorValues = null;
							colorScale = null;
						} else {
							const resultCol = numericalCols.find(col => col.name.toLowerCase() === selectedResult.toLowerCase());
							colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
			
							let minResult = Math.min(...colorValues);
							let maxResult = Math.max(...colorValues);
			
							var _result_min_max_idx = result_names.indexOf(selectedResult);
			
							let invertColor = false;
							if (result_min_max.length > _result_min_max_idx) {
								invertColor = result_min_max[_result_min_max_idx] === "max";
							}
			
							colorScale = invertColor
								? [[0, 'red'], [1, 'green']]
								: [[0, 'green'], [1, 'red']];
						}
						updatePlot();
					});
				} else {
					let invertColor = false;
					if (Object.keys(result_min_max).length == 1) {
						invertColor = result_min_max[0] === "max";
					}
			
					colorScale = invertColor
						? [[0, 'red'], [1, 'green']]
						: [[0, 'green'], [1, 'red']];
			
					const resultCol = numericalCols.find(col => col.name.toLowerCase() === resultNames[0].toLowerCase());
					colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
				}
			
				function updatePlot() {
					const trace = {
						type: 'parcoords',
						dimensions: dimensions,
						line: colorValues ? { color: colorValues, colorscale: colorScale } : {},
						unselected: {
							line: {
								color: get_text_color(),
								opacity: 0
							}
						},
					};
			
					dimensions.forEach(dim => {
						if (!dim.line) {
							dim.line = {};
						}
						if (!dim.line.color) {
							dim.line.color = 'rgba(169,169,169, 0.01)';
						}
					});
			
					Plotly.newPlot('parallel-plot', [trace], add_default_layout_data({}));
			
					make_text_in_parallel_plot_nicer();
				}
			
				updatePlot();
			
				$("#parallel-plot").data("loaded", "true");
			
				make_text_in_parallel_plot_nicer();
			}
			
			function plotWorkerUsage() {
				if($("#workerUsagePlot").data("loaded") == "true") {
					return;
				}
				var data = tab_worker_usage_csv_json;
				if (!Array.isArray(data) || data.length === 0) {
					console.error("Invalid or empty data provided.");
					return;
				}
			
				let timestamps = [];
				let desiredWorkers = [];
				let realWorkers = [];
			
				for (let i = 0; i < data.length; i++) {
					let entry = data[i];
			
					if (!Array.isArray(entry) || entry.length < 3) {
						console.warn("Skipping invalid entry:", entry);
						continue;
					}
			
					let unixTime = parseFloat(entry[0]);
					let desired = parseInt(entry[1], 10);
					let real = parseInt(entry[2], 10);
			
					if (isNaN(unixTime) || isNaN(desired) || isNaN(real)) {
						console.warn("Skipping invalid numerical values:", entry);
						continue;
					}
			
					timestamps.push(new Date(unixTime * 1000).toISOString());
					desiredWorkers.push(desired);
					realWorkers.push(real);
				}
			
				let trace1 = {
					x: timestamps,
					y: desiredWorkers,
					mode: 'lines+markers',
					name: 'Desired Workers',
					line: {
						color: 'blue'
					}
				};
			
				let trace2 = {
					x: timestamps,
					y: realWorkers,
					mode: 'lines+markers',
					name: 'Real Workers',
					line: {
						color: 'red'
					}
				};
			
				let layout = {
					title: "Worker Usage Over Time",
					xaxis: {
						title: get_axis_title_data("Time", "date")
					},
					yaxis: {
						title: get_axis_title_data("Number of Workers")
					},
					legend: {
						x: 0,
						y: 1
					}
				};
			
				Plotly.newPlot('workerUsagePlot', [trace1, trace2], add_default_layout_data(layout));
				$("#workerUsagePlot").data("loaded", "true");
			}
			
			function plotCPUAndRAMUsage() {
				if($("#mainWorkerCPURAM").data("loaded") == "true") {
					return;
				}
				var timestamps = tab_main_worker_cpu_ram_csv_json.map(row => new Date(row[0] * 1000));
				var ramUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[1]);
				var cpuUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[2]);
			
				var trace1 = {
					x: timestamps,
					y: cpuUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'CPU Usage (%)',
					type: 'scatter',
					yaxis: 'y1'
				};
			
				var trace2 = {
					x: timestamps,
					y: ramUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'RAM Usage (MB)',
					type: 'scatter',
					yaxis: 'y2'
				};
			
				var layout = {
					title: 'CPU and RAM Usage Over Time',
					xaxis: {
						title: get_axis_title_data("Timestamp", "date"),
						tickmode: 'array',
						tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
						ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
						tickangle: -45
					},
					yaxis: {
						title: get_axis_title_data("CPU Usage (%)"),
						rangemode: 'tozero'
					},
					yaxis2: {
						title: get_axis_title_data("RAM Usage (MB)"),
						overlaying: 'y',
						side: 'right',
						rangemode: 'tozero'
					},
					legend: {
						x: 0.1,
						y: 0.9
					}
				};
			
				var data = [trace1, trace2];
				Plotly.newPlot('mainWorkerCPURAM', data, add_default_layout_data(layout));
				$("#mainWorkerCPURAM").data("loaded", "true");
			}
			
			function plotScatter2d() {
				if ($("#plotScatter2d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter2d");
			
				var minInput = document.getElementById("minValue");
				var maxInput = document.getElementById("maxValue");
			
				if (!minInput || !maxInput) {
					minInput = document.createElement("input");
					minInput.id = "minValue";
					minInput.type = "number";
					minInput.placeholder = "Min Value";
					minInput.step = "any";
			
					maxInput = document.createElement("input");
					maxInput.id = "maxValue";
					maxInput.type = "number";
					maxInput.placeholder = "Max Value";
					maxInput.step = "any";
			
					var inputContainer = document.createElement("div");
					inputContainer.style.marginBottom = "10px";
					inputContainer.appendChild(minInput);
					inputContainer.appendChild(maxInput);
					plotDiv.appendChild(inputContainer);
				}
			
				var resultSelect = document.getElementById("resultSelect");
				if (result_names.length > 1 && !resultSelect) {
					resultSelect = document.createElement("select");
					resultSelect.id = "resultSelect";
					resultSelect.style.marginBottom = "10px";
			
					var sortedResults = [...result_names].sort();
					sortedResults.forEach(result => {
						var option = document.createElement("option");
						option.value = result;
						option.textContent = result;
						resultSelect.appendChild(option);
					});
			
					var selectContainer = document.createElement("div");
					selectContainer.style.marginBottom = "10px";
					selectContainer.appendChild(resultSelect);
					plotDiv.appendChild(selectContainer);
				}
			
				minInput.addEventListener("input", updatePlots);
				maxInput.addEventListener("input", updatePlots);
				if (resultSelect) {
					resultSelect.addEventListener("change", updatePlots);
				}
			
				updatePlots();
			
				async function updatePlots() {
					var minValue = parseFloat(minInput.value);
					var maxValue = parseFloat(maxInput.value);
					if (isNaN(minValue)) minValue = -Infinity;
					if (isNaN(maxValue)) maxValue = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var selectedResult = resultSelect ? resultSelect.value : result_names[0];
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue !== -Infinity) minResult = Math.max(minResult, minValue);
					if (maxValue !== Infinity) maxResult = Math.min(maxResult, maxValue);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 2) {
						console.error("Not enough columns for Scatter-Plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							let xCol = numericColumns[i];
							let yCol = numericColumns[j];
			
							let xIndex = tab_results_headers_json.indexOf(xCol);
							let yIndex = tab_results_headers_json.indexOf(yCol);
			
							let data = tab_results_csv_json.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
							}));
			
							data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
							let layoutTitle = `${xCol} (x) vs ${yCol} (y), result: ${selectedResult}`;
							let layout = {
								title: layoutTitle,
								xaxis: {
									title: get_axis_title_data(xCol)
								},
								yaxis: {
									title: get_axis_title_data(yCol)
								},
								showlegend: false
							};
							let subDiv = document.createElement("div");
			
							let spinnerContainer = document.createElement("div");
							spinnerContainer.style.display = "flex";
							spinnerContainer.style.alignItems = "center";
							spinnerContainer.style.justifyContent = "center";
							spinnerContainer.style.width = layout.width + "px";
							spinnerContainer.style.height = layout.height + "px";
							spinnerContainer.style.position = "relative";
			
							let spinner = document.createElement("div");
							spinner.className = "spinner";
							spinner.style.width = "40px";
							spinner.style.height = "40px";
			
							let loadingText = document.createElement("span");
							loadingText.innerText = `Loading ${layoutTitle}`;
							loadingText.style.marginLeft = "10px";
			
							spinnerContainer.appendChild(spinner);
							spinnerContainer.appendChild(loadingText);
			
							plotDiv.appendChild(spinnerContainer);
			
							await new Promise(resolve => setTimeout(resolve, 50));
			
							let colors = data.map(d => {
								if (d.result === null) {
									return 'rgb(0, 0, 0)';
								} else {
									let norm = (d.result - minResult) / (maxResult - minResult);
									if (invertColor) {
										norm = 1 - norm;
									}
									return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
								}
							});
			
							let trace = {
								x: data.map(d => d.x),
								y: data.map(d => d.y),
								mode: 'markers',
								marker: {
									size: get_marker_size(),
									color: data.map(d => d.result !== null ? d.result : null),
									colorscale: invertColor ? [
										[0, 'red'],
										[1, 'green']
									] : [
										[0, 'green'],
										[1, 'red']
									],
									colorbar: {
										title: 'Result',
										tickvals: [minResult, maxResult],
										ticktext: [`${minResult}`, `${maxResult}`]
									},
									symbol: data.map(d => d.result === null ? 'x' : 'circle'),
								},
								text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
								type: 'scatter',
								showlegend: false
							};
			
							try {
								plotDiv.replaceChild(subDiv, spinnerContainer);
							} catch (err) {
								//
							}
							Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
						}
					}
				}
			
				$("#plotScatter2d").data("loaded", "true");
			}
			
			function plotScatter3d() {
				if ($("#plotScatter3d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter3d");
				if (!plotDiv) {
					console.error("Div element with id 'plotScatter3d' not found");
					return;
				}
				plotDiv.innerHTML = "";
			
				var minInput3d = document.getElementById("minValue3d");
				var maxInput3d = document.getElementById("maxValue3d");
			
				if (!minInput3d || !maxInput3d) {
					minInput3d = document.createElement("input");
					minInput3d.id = "minValue3d";
					minInput3d.type = "number";
					minInput3d.placeholder = "Min Value";
					minInput3d.step = "any";
			
					maxInput3d = document.createElement("input");
					maxInput3d.id = "maxValue3d";
					maxInput3d.type = "number";
					maxInput3d.placeholder = "Max Value";
					maxInput3d.step = "any";
			
					var inputContainer3d = document.createElement("div");
					inputContainer3d.style.marginBottom = "10px";
					inputContainer3d.appendChild(minInput3d);
					inputContainer3d.appendChild(maxInput3d);
					plotDiv.appendChild(inputContainer3d);
				}
			
				var select3d = document.getElementById("select3dScatter");
				if (result_names.length > 1 && !select3d) {
					if (!select3d) {
						select3d = document.createElement("select");
						select3d.id = "select3dScatter";
						select3d.style.marginBottom = "10px";
						select3d.innerHTML = result_names.map(name => `<option value="${name}">${name}</option>`).join("");
			
						select3d.addEventListener("change", updatePlots3d);
			
						plotDiv.appendChild(select3d);
					}
				}
			
				minInput3d.addEventListener("input", updatePlots3d);
				maxInput3d.addEventListener("input", updatePlots3d);
			
				updatePlots3d();
			
				async function updatePlots3d() {
					var selectedResult = select3d ? select3d.value : result_names[0];
					var minValue3d = parseFloat(minInput3d.value);
					var maxValue3d = parseFloat(maxInput3d.value);
			
					if (isNaN(minValue3d)) minValue3d = -Infinity;
					if (isNaN(maxValue3d)) maxValue3d = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue3d !== -Infinity) minResult = Math.max(minResult, minValue3d);
					if (maxValue3d !== Infinity) maxResult = Math.min(maxResult, maxValue3d);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 3) {
						console.error("Not enough columns for 3D scatter plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							for (let k = j + 1; k < numericColumns.length; k++) {
								let xCol = numericColumns[i];
								let yCol = numericColumns[j];
								let zCol = numericColumns[k];
			
								let xIndex = tab_results_headers_json.indexOf(xCol);
								let yIndex = tab_results_headers_json.indexOf(yCol);
								let zIndex = tab_results_headers_json.indexOf(zCol);
			
								let data = tab_results_csv_json.map(row => ({
									x: parseFloat(row[xIndex]),
									y: parseFloat(row[yIndex]),
									z: parseFloat(row[zIndex]),
									result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
								}));
			
								data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
								let layoutTitle = `${xCol} (x) vs ${yCol} (y) vs ${zCol} (z), result: ${selectedResult}`;
								let layout = {
									title: layoutTitle,
									scene: {
										xaxis: {
											title: get_axis_title_data(xCol)
										},
										yaxis: {
											title: get_axis_title_data(yCol)
										},
										zaxis: {
											title: get_axis_title_data(zCol)
										}
									},
									showlegend: false
								};
			
								let spinnerContainer = document.createElement("div");
								spinnerContainer.style.display = "flex";
								spinnerContainer.style.alignItems = "center";
								spinnerContainer.style.justifyContent = "center";
								spinnerContainer.style.width = layout.width + "px";
								spinnerContainer.style.height = layout.height + "px";
								spinnerContainer.style.position = "relative";
			
								let spinner = document.createElement("div");
								spinner.className = "spinner";
								spinner.style.width = "40px";
								spinner.style.height = "40px";
			
								let loadingText = document.createElement("span");
								loadingText.innerText = `Loading ${layoutTitle}`;
								loadingText.style.marginLeft = "10px";
			
								spinnerContainer.appendChild(spinner);
								spinnerContainer.appendChild(loadingText);
			
								plotDiv.appendChild(spinnerContainer);
			
								await new Promise(resolve => setTimeout(resolve, 50));
			
								let colors = data.map(d => {
									if (d.result === null) {
										return 'rgb(0, 0, 0)';
									} else {
										let norm = (d.result - minResult) / (maxResult - minResult);
										if (invertColor) {
											norm = 1 - norm;
										}
										return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
									}
								});
			
								let trace = {
									x: data.map(d => d.x),
									y: data.map(d => d.y),
									z: data.map(d => d.z),
									mode: 'markers',
									marker: {
										size: get_marker_size(),
										color: data.map(d => d.result !== null ? d.result : null),
										colorscale: invertColor ? [
											[0, 'red'],
											[1, 'green']
										] : [
											[0, 'green'],
											[1, 'red']
										],
										colorbar: {
											title: 'Result',
											tickvals: [minResult, maxResult],
											ticktext: [`${minResult}`, `${maxResult}`]
										},
									},
									text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
									type: 'scatter3d',
									showlegend: false
								};
			
								let subDiv = document.createElement("div");
								try {
									plotDiv.replaceChild(subDiv, spinnerContainer);
								} catch (err) {
									//
								}
								Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
							}
						}
					}
				}
			
				$("#plotScatter3d").data("loaded", "true");
			}
			
			async function plot_worker_cpu_ram() {
				if($("#worker_cpu_ram_pre").data("loaded") == "true") {
					return;
				}
			
				const logData = $("#worker_cpu_ram_pre").text();
				const regex = /^Unix-Timestamp: (\d+), Hostname: ([\w-]+), CPU: ([\d.]+)%, RAM: ([\d.]+) MB \/ ([\d.]+) MB$/;
			
				const hostData = {};
			
				logData.split("\n").forEach(line => {
					line = line.trim();
					const match = line.match(regex);
					if (match) {
						const timestamp = new Date(parseInt(match[1]) * 1000);
						const hostname = match[2];
						const cpu = parseFloat(match[3]);
						const ram = parseFloat(match[4]);
			
						if (!hostData[hostname]) {
							hostData[hostname] = { timestamps: [], cpuUsage: [], ramUsage: [] };
						}
			
						hostData[hostname].timestamps.push(timestamp);
						hostData[hostname].cpuUsage.push(cpu);
						hostData[hostname].ramUsage.push(ram);
					}
				});
			
				if (!Object.keys(hostData).length) {
					console.log("No valid data found");
					return;
				}
			
				const container = document.getElementById("cpuRamWorkerChartContainer");
				container.innerHTML = "";
			
				var i = 1;
			
				Object.entries(hostData).forEach(([hostname, { timestamps, cpuUsage, ramUsage }], index) => {
					const chartId = `workerChart_${index}`;
					const chartDiv = document.createElement("div");
					chartDiv.id = chartId;
					chartDiv.style.marginBottom = "40px";
					container.appendChild(chartDiv);
			
					const cpuTrace = {
						x: timestamps,
						y: cpuUsage,
						mode: "lines+markers",
						name: "CPU Usage (%)",
						yaxis: "y1",
						line: {
							color: "red"
						}
					};
			
					const ramTrace = {
						x: timestamps,
						y: ramUsage,
						mode: "lines+markers",
						name: "RAM Usage (MB)",
						yaxis: "y2",
						line: {
							color: "blue"
						}
					};
			
					const layout = {
						title: `Worker CPU and RAM Usage - ${hostname}`,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date")
						},
						yaxis: {
							title: get_axis_title_data("CPU Usage (%)"),
							side: "left",
							color: "red"
						},
						yaxis2: {
							title: get_axis_title_data("RAM Usage (MB)"),
							side: "right",
							overlaying: "y",
							color: "blue"
						},
						showlegend: true
					};
			
					Plotly.newPlot(chartId, [cpuTrace, ramTrace], add_default_layout_data(layout));
					i++;
				});
			
				$("#plot_worker_cpu_ram_button").remove();
				$("#worker_cpu_ram_pre").data("loaded", "true");
			}
			
			function load_log_file(log_nr, filename) {
				var pre_id = `single_run_${log_nr}_pre`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}&filename=${filename}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							if (data.data) {
								$("#" + pre_id).html(data.data);
								$("#" + pre_id).data("loaded", true);
							} else {
								log(`No 'data' key found in response.`);
							}
			
							$("#spinner_log_" + log_nr).remove();
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#spinner_log_" + log_nr).remove();
						});
				}
			}
			
			function load_debug_log () {
				var pre_id = `here_debuglogs_go`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_debug_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							$("#debug_log_spinner").remove();
			
							if (data.data) {
								try {
									$("#" + pre_id).html(data.data);
								} catch (err) {
									$("#" + pre_id).text(`Error loading data: ${err}`);
								}
			
								$("#" + pre_id).data("loaded", true);
			
								if (typeof apply_theme_based_on_system_preferences === 'function') {
									apply_theme_based_on_system_preferences();
								}
							} else {
								log(`No 'data' key found in response.`);
							}
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#debug_log_spinner").remove();
						});
				}
			}
			
			function plotBoxplot() {
				if ($("#plotBoxplot").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough numeric columns for Boxplot");
					return;
				}
			
				var resultIndex = tab_results_headers_json.findIndex(function(header) {
					return result_names.includes(header.toLowerCase());
				});
				var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
				var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
				var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
				var plotDiv = document.getElementById("plotBoxplot");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'box',
						name: col,
						boxmean: 'sd',
						marker: {
							color: 'rgb(0, 255, 0)'
						},
					};
				});
			
				let layout = {
					title: 'Boxplot of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Value")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotBoxplot").data("loaded", "true");
			}
			
			function plotHeatmap() {
				if ($("#plotHeatmap").data("loaded") === "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col => {
					if (special_col_names.includes(col) || result_names.includes(col)) {
						return false;
					}
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.every(row => {
						let value = parseFloat(row[index]);
						return !isNaN(value) && isFinite(value);
					});
				});
			
				if (numericColumns.length < 2) {
					console.error("Not enough valid numeric columns for Heatmap");
					return;
				}
			
				var columnData = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.map(row => parseFloat(row[index]));
				});
			
				var dataMatrix = numericColumns.map((_, i) =>
					numericColumns.map((_, j) => {
						let values = columnData[i].map((val, index) => (val + columnData[j][index]) / 2);
						return values.reduce((a, b) => a + b, 0) / values.length;
					})
				);
			
				var trace = {
					z: dataMatrix,
					x: numericColumns,
					y: numericColumns,
					colorscale: 'Viridis',
					type: 'heatmap'
				};
			
				var layout = {
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				var plotDiv = document.getElementById("plotHeatmap");
				plotDiv.innerHTML = "";
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotHeatmap").data("loaded", "true");
			}
			
			function plotHistogram() {
				if ($("#plotHistogram").data("loaded") == "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Histogram");
					return;
				}
			
				var plotDiv = document.getElementById("plotHistogram");
				plotDiv.innerHTML = "";
			
				const colorPalette = ['#ff9999', '#66b3ff', '#99ff99', '#ffcc99', '#c2c2f0', '#ffb3e6'];
			
				let traces = numericColumns.map((col, index) => {
					let data = tab_results_csv_json.map(row => parseFloat(row[tab_results_headers_json.indexOf(col)]));
			
					return {
						x: data,
						type: 'histogram',
						name: col,
						opacity: 0.7,
						marker: {
							color: colorPalette[index % colorPalette.length]
						},
						autobinx: true
					};
				});
			
				let layout = {
					title: 'Histogram of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Value")
					},
					yaxis: {
						title: get_axis_title_data("Frequency")
					},
					showlegend: true,
					barmode: 'overlay'
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotHistogram").data("loaded", "true");
			}
			
			function plotViolin() {
				if ($("#plotViolin").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Violin Plot");
					return;
				}
			
				var plotDiv = document.getElementById("plotViolin");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'violin',
						name: col,
						box: {
							visible: true
						},
						line: {
							color: 'rgb(0, 255, 0)'
						},
						marker: {
							color: 'rgb(0, 255, 0)'
						},
						meanline: {
							visible: true
						},
					};
				});
			
				let layout = {
					title: 'Violin Plot of Numerical Columns',
					yaxis: {
						title: get_axis_title_data("Value")
					},
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotViolin").data("loaded", "true");
			}
			
			function plotExitCodesPieChart() {
				if ($("#plotExitCodesPieChart").data("loaded") == "true") {
					return;
				}
			
				var exitCodes = tab_job_infos_csv_json.map(row => row[tab_job_infos_headers_json.indexOf("exit_code")]);
			
				var exitCodeCounts = exitCodes.reduce(function(counts, exitCode) {
					counts[exitCode] = (counts[exitCode] || 0) + 1;
					return counts;
				}, {});
			
				var labels = Object.keys(exitCodeCounts);
				var values = Object.values(exitCodeCounts);
			
				var plotDiv = document.getElementById("plotExitCodesPieChart");
				plotDiv.innerHTML = "";
			
				var trace = {
					labels: labels,
					values: values,
					type: 'pie',
					hoverinfo: 'label+percent',
					textinfo: 'label+value',
					marker: {
						colors: ['#ff9999','#66b3ff','#99ff99','#ffcc99','#c2c2f0']
					}
				};
			
				var layout = {
					title: 'Exit Code Distribution',
					showlegend: true
				};
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotExitCodesPieChart").data("loaded", "true");
			}
			
			function plotResultEvolution() {
				if ($("#plotResultEvolution").data("loaded") == "true") {
					return;
				}
			
				result_names.forEach(resultName => {
					var relevantColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !col.startsWith("OO_Info") && col.toLowerCase() !== resultName.toLowerCase()
					);
			
					var xColumnIndex = tab_results_headers_json.indexOf("trial_index");
					var resultIndex = tab_results_headers_json.indexOf(resultName);
			
					let data = tab_results_csv_json.map(row => ({
						x: row[xColumnIndex],
						y: parseFloat(row[resultIndex])
					}));
			
					data.sort((a, b) => a.x - b.x);
			
					let xData = data.map(item => item.x);
					let yData = data.map(item => item.y);
			
					let trace = {
						x: xData,
						y: yData,
						mode: 'lines+markers',
						name: resultName,
						line: {
							shape: 'linear'
						},
						marker: {
							size: get_marker_size()
						}
					};
			
					let layout = {
						title: `Evolution of ${resultName} over time`,
						xaxis: {
							title: get_axis_title_data("Trial-Index")
						},
						yaxis: {
							title: get_axis_title_data(resultName)
						},
						showlegend: true
					};
			
					let subDiv = document.createElement("div");
					document.getElementById("plotResultEvolution").appendChild(subDiv);
			
					Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
				});
			
				$("#plotResultEvolution").data("loaded", "true");
			}
			
			function plotResultPairs() {
				if ($("#plotResultPairs").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotResultPairs");
				plotDiv.innerHTML = "";
			
				for (let i = 0; i < result_names.length; i++) {
					for (let j = i + 1; j < result_names.length; j++) {
						let xName = result_names[i];
						let yName = result_names[j];
			
						let xIndex = tab_results_headers_json.indexOf(xName);
						let yIndex = tab_results_headers_json.indexOf(yName);
			
						let data = tab_results_csv_json
							.filter(row => row[xIndex] !== "" && row[yIndex] !== "")
							.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								status: row[tab_results_headers_json.indexOf("trial_status")]
							}));
			
						let colors = data.map(d => d.status === "COMPLETED" ? 'green' : (d.status === "FAILED" ? 'red' : 'gray'));
			
						let trace = {
							x: data.map(d => d.x),
							y: data.map(d => d.y),
							mode: 'markers',
							marker: {
								size: get_marker_size(),
								color: colors
							},
							text: data.map(d => `Status: ${d.status}`),
							type: 'scatter',
							showlegend: false
						};
			
						let layout = {
							xaxis: {
								title: get_axis_title_data(xName)
							},
							yaxis: {
								title: get_axis_title_data(yName)
							},
							showlegend: false
						};
			
						let subDiv = document.createElement("div");
						plotDiv.appendChild(subDiv);
			
						Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
					}
				}
			
				$("#plotResultPairs").data("loaded", "true");
			}
			
			function add_up_down_arrows_for_scrolling () {
				const upArrow = document.createElement('div');
				const downArrow = document.createElement('div');
			
				const style = document.createElement('style');
				style.innerHTML = `
					.scroll-arrow {
						position: fixed;
						right: 10px;
						z-index: 100;
						cursor: pointer;
						font-size: 25px;
						display: none;
						background-color: green;
						color: white;
						padding: 5px;
						outline: 2px solid white;
						box-shadow: 0 0 10px rgba(0, 0, 0, 0.5);
						transition: background-color 0.3s, transform 0.3s;
					}
					.scroll-arrow:hover {
						background-color: darkgreen;
						transform: scale(1.1);
					}
					#up-arrow {
						top: 10px;
					}
					#down-arrow {
						bottom: 10px;
					}
				`;
				document.head.appendChild(style);
			
				upArrow.id = "up-arrow";
				upArrow.classList.add("scroll-arrow");
				upArrow.classList.add("invert_in_dark_mode");
				upArrow.innerHTML = "&#8593;";
			
				downArrow.id = "down-arrow";
				downArrow.classList.add("scroll-arrow");
				downArrow.classList.add("invert_in_dark_mode");
				downArrow.innerHTML = "&#8595;";
			
				document.body.appendChild(upArrow);
				document.body.appendChild(downArrow);
			
				function checkScrollPosition() {
					const scrollPosition = window.scrollY;
					const pageHeight = document.documentElement.scrollHeight;
					const windowHeight = window.innerHeight;
			
					if (scrollPosition > 0) {
						upArrow.style.display = "block";
					} else {
						upArrow.style.display = "none";
					}
			
					if (scrollPosition + windowHeight < pageHeight) {
						downArrow.style.display = "block";
					} else {
						downArrow.style.display = "none";
					}
				}
			
				window.addEventListener("scroll", checkScrollPosition);
			
				upArrow.addEventListener("click", function () {
					window.scrollTo({ top: 0, behavior: 'smooth' });
				});
			
				downArrow.addEventListener("click", function () {
					window.scrollTo({ top: document.documentElement.scrollHeight, behavior: 'smooth' });
				});
			
				checkScrollPosition();
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			}
			
			function plotGPUUsage() {
				if ($("#tab_gpu_usage").data("loaded") === "true") {
					return;
				}
			
				Object.keys(gpu_usage).forEach(node => {
					const nodeData = gpu_usage[node];
			
					var timestamps = [];
					var gpuUtilizations = [];
					var temperatures = [];
			
					nodeData.forEach(entry => {
						try {
							var timestamp = new Date(entry[0]* 1000);
							var utilization = parseFloat(entry[1]);
							var temperature = parseFloat(entry[2]);
			
							if (!isNaN(timestamp) && !isNaN(utilization) && !isNaN(temperature)) {
								timestamps.push(timestamp);
								gpuUtilizations.push(utilization);
								temperatures.push(temperature);
							} else {
								console.warn("Invalid data point:", entry);
							}
						} catch (error) {
							console.error("Error processing GPU data entry:", error, entry);
						}
					});
			
					var trace1 = {
						x: timestamps,
						y: gpuUtilizations,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Utilization (%)',
						type: 'scatter',
						yaxis: 'y1'
					};
			
					var trace2 = {
						x: timestamps,
						y: temperatures,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Temperature (°C)',
						type: 'scatter',
						yaxis: 'y2'
					};
			
					var layout = {
						title: 'GPU Usage Over Time - ' + node,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date"),
							tickmode: 'array',
							tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
							ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
							tickangle: -45
						},
						yaxis: {
							title: get_axis_title_data("GPU Utilization (%)"),
							overlaying: 'y',
							rangemode: 'tozero'
						},
						yaxis2: {
							title: get_axis_title_data("GPU Temperature (°C)"),
							overlaying: 'y',
							side: 'right',
							position: 0.85,
							rangemode: 'tozero'
						},
						legend: {
							x: 0.1,
							y: 0.9
						}
					};
			
					var divId = 'gpu_usage_plot_' + node;
			
					if (!document.getElementById(divId)) {
						var div = document.createElement('div');
						div.id = divId;
						div.className = 'gpu-usage-plot';
						document.getElementById('tab_gpu_usage').appendChild(div);
					}
			
					var plotData = [trace1, trace2];
			
					Plotly.newPlot(divId, plotData, add_default_layout_data(layout));
				});
			
				$("#tab_gpu_usage").data("loaded", "true");
			}
			
			function plotResultsDistributionByGenerationMethod() {
				if ("true" === $("#plotResultsDistributionByGenerationMethod").data("loaded")) {
					return;
				}
			
				var res_col = result_names[0];
				var gen_method_col = "generation_node";
			
				var data = {};
			
				tab_results_csv_json.forEach(row => {
					var gen_method = row[tab_results_headers_json.indexOf(gen_method_col)];
					var result = row[tab_results_headers_json.indexOf(res_col)];
			
					if (!data[gen_method]) {
						data[gen_method] = [];
					}
					data[gen_method].push(result);
				});
			
				var traces = Object.keys(data).map(method => {
					return {
						y: data[method],
						type: 'box',
						name: method,
						boxpoints: 'outliers',
						jitter: 0.5,
						pointpos: 0
					};
				});
			
				var layout = {
					title: 'Distribution of Results by Generation Method',
					yaxis: {
						title: get_axis_title_data(res_col)
					},
					xaxis: {
						title: get_axis_title_data("Generation Method")
					},
					boxmode: 'group'
				};
			
				Plotly.newPlot("plotResultsDistributionByGenerationMethod", traces, add_default_layout_data(layout));
				$("#plotResultsDistributionByGenerationMethod").data("loaded", "true");
			}
			
			function plotJobStatusDistribution() {
				if ($("#plotJobStatusDistribution").data("loaded") === "true") {
					return;
				}
			
				var status_col = "trial_status";
				var status_counts = {};
			
				tab_results_csv_json.forEach(row => {
					var status = row[tab_results_headers_json.indexOf(status_col)];
					if (status) {
						status_counts[status] = (status_counts[status] || 0) + 1;
					}
				});
			
				var statuses = Object.keys(status_counts);
				var counts = Object.values(status_counts);
			
				var colors = statuses.map((status, i) =>
					status === "FAILED" ? "#FF0000" : `hsl(${30 + ((i * 137) % 330)}, 70%, 50%)`
				);
			
				var trace = {
					x: statuses,
					y: counts,
					type: 'bar',
					marker: { color: colors }
				};
			
				var layout = {
					title: 'Distribution of Job Status',
					xaxis: { title: 'Trial Status' },
					yaxis: { title: 'Nr. of jobs' }
				};
			
				Plotly.newPlot("plotJobStatusDistribution", [trace], add_default_layout_data(layout));
				$("#plotJobStatusDistribution").data("loaded", "true");
			}
			
			function _colorize_table_entries_by_generation_method () {
				document.querySelectorAll('[data-column-id="generation_node"]').forEach(el => {
					let text = el.textContent.toLowerCase();
					let color = text.includes("manual") ? "green" :
						text.includes("sobol") ? "orange" :
						text.includes("saasbo") ? "pink" :
						text.includes("uniform") ? "lightblue" :
						text.includes("legacy_gpei") ? "sienna" :
						text.includes("bo_mixed") ? "aqua" :
						text.includes("randomforest") ? "darkseagreen" :
						text.includes("external_generator") ? "purple" :
						text.includes("botorch") ? "yellow" : "";
					if (color !== "") {
						el.style.backgroundColor = color;
					}
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_trial_status () {
				document.querySelectorAll('[data-column-id="trial_status"]').forEach(el => {
					let color = el.textContent.includes("COMPLETED") ? "lightgreen" :
						el.textContent.includes("RUNNING") ? "orange" :
						el.textContent.includes("FAILED") ? "red" :
						el.textContent.includes("ABANDONED") ? "yellow" : "";
					if (color) el.style.backgroundColor = color;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_run_time() {
				let cells = [...document.querySelectorAll('[data-column-id="run_time"]')];
				if (cells.length === 0) return;
			
				let values = cells.map(el => parseFloat(el.textContent)).filter(v => !isNaN(v));
				if (values.length === 0) return;
			
				let min = Math.min(...values);
				let max = Math.max(...values);
				let range = max - min || 1;
			
				cells.forEach(el => {
					let value = parseFloat(el.textContent);
					if (isNaN(value)) return;
			
					let ratio = (value - min) / range;
					let red = Math.round(255 * ratio);
					let green = Math.round(255 * (1 - ratio));
			
					el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_results() {
				result_names.forEach((name, index) => {
					let minMax = result_min_max[index];
					let selector_query = `[data-column-id="${name}"]`;
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let values = cells.map(el => parseFloat(el.textContent)).filter(v => v > 0 && !isNaN(v));
					if (values.length === 0) return;
			
					let logValues = values.map(v => Math.log(v));
					let logMin = Math.min(...logValues);
					let logMax = Math.max(...logValues);
					let logRange = logMax - logMin || 1;
			
					cells.forEach(el => {
						let value = parseFloat(el.textContent);
						if (isNaN(value) || value <= 0) return;
			
						let logValue = Math.log(value);
						let ratio = (logValue - logMin) / logRange;
						if (minMax === "max") ratio = 1 - ratio;
			
						let red = Math.round(255 * ratio);
						let green = Math.round(255 * (1 - ratio));
			
						el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
						el.classList.add("invert_in_dark_mode");
					});
				});
			}
			
			function _colorize_table_entries_by_generation_node_or_hostname() {
				["hostname", "generation_node"].forEach(element => {
					let selector_query = '[data-column-id="' + element + '"]:not(.gridjs-th)';
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let uniqueValues = [...new Set(cells.map(el => el.textContent.trim()))];
					let colorMap = {};
			
					uniqueValues.forEach((value, index) => {
						let hue = Math.round((360 / uniqueValues.length) * index);
						colorMap[value] = `hsl(${hue}, 70%, 60%)`;
					});
			
					cells.forEach(el => {
						let value = el.textContent.trim();
						if (colorMap[value]) {
							el.style.backgroundColor = colorMap[value];
							el.classList.add("invert_in_dark_mode");
						}
					});
				});
			}
			
			function colorize_table_entries () {
				setTimeout(() => {
					if (typeof result_names !== "undefined" && Array.isArray(result_names) && result_names.length > 0) {
						_colorize_table_entries_by_trial_status();
						_colorize_table_entries_by_results();
						_colorize_table_entries_by_run_time();
						_colorize_table_entries_by_generation_method();
						_colorize_table_entries_by_generation_node_or_hostname();
						if (typeof apply_theme_based_on_system_preferences === 'function') {
							apply_theme_based_on_system_preferences();
						}
					}
				}, 300);
			}
			
			function add_colorize_to_gridjs_table () {
				let searchInput = document.querySelector(".gridjs-search-input");
				if (searchInput) {
					searchInput.addEventListener("input", colorize_table_entries);
				}
			}
			
			function updatePreWidths() {
				var width = window.innerWidth * 0.95;
				var pres = document.getElementsByTagName('pre');
				for (var i = 0; i < pres.length; i++) {
					pres[i].style.width = width + 'px';
				}
			}
			
			function demo_mode(nr_sec = 3) {
				let i = 0;
				let tabs = $('menu[role="tablist"] > button');
			
				setInterval(() => {
					tabs.attr('aria-selected', 'false').removeClass('active');
			
					let tab = tabs.eq(i % tabs.length);
					tab.attr('aria-selected', 'true').addClass('active');
			
					tab.trigger('click');
			
					i++;
				}, nr_sec * 1000);
			}
			
			function resizePlotlyCharts() {
				const plotlyElements = document.querySelectorAll('.js-plotly-plot');
			
				if (plotlyElements.length) {
					const windowWidth = window.innerWidth;
					const windowHeight = window.innerHeight;
			
					const newWidth = windowWidth * 0.9;
					const newHeight = windowHeight * 0.9;
			
					plotlyElements.forEach(function(element, index) {
						const layout = {
							width: newWidth,
							height: newHeight,
							plot_bgcolor: 'rgba(0, 0, 0, 0)',
							paper_bgcolor: 'rgba(0, 0, 0, 0)',
						};
			
						Plotly.relayout(element, layout)
					});
				}
			
				make_text_in_parallel_plot_nicer();
				apply_theme_based_on_system_preferences();
			}
			
			window.addEventListener('load', updatePreWidths);
			window.addEventListener('resize', updatePreWidths);
			
			$(document).ready(function() {
				colorize_table_entries();
			
				add_up_down_arrows_for_scrolling();
			
				add_colorize_to_gridjs_table();
			});
			
			window.addEventListener('resize', function() {
				resizePlotlyCharts();
			});
			
			"use strict";
			
			function get_row_by_index(idx) {
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
			
				var trial_index_col_idx = tab_results_headers_json.indexOf("trial_index");
			
				if(trial_index_col_idx == -1) {
					error(`"trial_index" could not be found in tab_results_headers_json. Cannot continue`);
			
					return null;
				}
			
				for (var i = 0; i < tab_results_csv_json.length; i++) {
					var row = tab_results_csv_json[i];
					var trial_index = row[trial_index_col_idx];
			
					if (trial_index == idx) {
						return row;
					}
				}
			
				return null;
			}
			
			function load_pareto_graph_from_idxs () {
				if (!Object.keys(window).includes("pareto_idxs")) {
					error("pareto_idxs is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
				if(pareto_idxs === null) {
					var err_msg = "pareto_idxs is null. Cannot plot or create tables from empty data. This can be caused by a defective <tt>pareto_idxs.json</tt> file. Please try reloading, or re-calculating the pareto-front and re-submitting if this problem persists.";
					$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
					return;	
				}
			
				var table = get_pareto_table_data_from_idx();
			
				var html_tables = createParetoTablesFromData(table);
			
				$("#pareto_from_idxs_table").html(html_tables);
			
				renderParetoFrontPlots(table);
			
				apply_theme_based_on_system_preferences();
			}
			
			function renderParetoFrontPlots(data) {
				try {
					let container = document.getElementById("pareto_front_idxs_plot_container");
					if (!container) {
						console.error("DIV with id 'pareto_front_idxs_plot_container' not found.");
						return;
					}
			
					container.innerHTML = "";
			
					if(data === undefined || data === null) {
						var err_msg = "There was an error getting the data for Pareto-Fronts. See the developer's console to see further details.";
						$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
						return;
					}
			
					Object.keys(data).forEach((key, idx) => {
						if (!key.startsWith("Pareto front for ")) return;
			
						let label = key.replace("Pareto front for ", "");
						let [xKey, yKey] = label.split("/");
			
						if (!xKey || !yKey) {
							console.warn("Could not extract two objectives from key:", key);
							return;
						}
			
						let entries = data[key];
						let x = [];
						let y = [];
						let hoverTexts = [];
			
						entries.forEach((entry) => {
							let results = entry.results || {};
							let values = entry.values || {};
			
							let xVal = (results[xKey] || [])[0];
							let yVal = (results[yKey] || [])[0];
			
							if (xVal === undefined || yVal === undefined) {
								console.warn("Missing values for", xKey, yKey, "in", entry);
								return;
							}
			
							x.push(xVal);
							y.push(yVal);
			
							let hoverInfo = [];
			
							if ("trial_index" in values) {
								hoverInfo.push(`<b>Trial Index:</b> ${values.trial_index[0]}`);
							}
			
							Object.keys(values)
								.filter(k => k !== "trial_index")
								.sort()
								.forEach(k => {
									hoverInfo.push(`<b>${k}:</b> ${values[k][0]}`);
								});
			
							Object.keys(results)
								.sort()
								.forEach(k => {
									hoverInfo.push(`<b>${k}:</b> ${results[k][0]}`);
								});
			
							hoverTexts.push(hoverInfo.join("<br>"));
						});
			
						let wrapper = document.createElement("div");
						wrapper.style.marginBottom = "30px";
			
						let titleEl = document.createElement("h3");
						titleEl.textContent = `Pareto Front: ${xKey} (${getMinMaxByResultName(xKey)}) vs ${yKey} (${getMinMaxByResultName(yKey)})`;
						wrapper.appendChild(titleEl);
			
						let divId = `pareto_plot_${idx}`;
						let plotDiv = document.createElement("div");
						plotDiv.id = divId;
						plotDiv.style.width = "100%";
						plotDiv.style.height = "400px";
			
						wrapper.appendChild(plotDiv);
						container.appendChild(wrapper);
			
						let trace = {
							x: x,
							y: y,
							text: hoverTexts,
							hoverinfo: "text",
							mode: "markers",
							type: "scatter",
							marker: {
								size: 8,
								color: 'rgb(31, 119, 180)',
								line: {
									width: 1,
									color: 'black'
								}
							},
							name: label
						};
			
						let layout = {
							xaxis: { title: { text: xKey } },
							yaxis: { title: { text: yKey } },
							margin: { t: 10, l: 60, r: 20, b: 50 },
							hovermode: "closest",
							showlegend: false
						};
			
						Plotly.newPlot(divId, [trace], add_default_layout_data(layout, 1));
					});
				} catch (e) {
					console.error("Error while rendering Pareto front plots:", e);
				}
			}
			
			function createParetoTablesFromData(data) {
				try {
					var container = document.createElement("div");
			
					var parsedData;
					try {
						parsedData = typeof data === "string" ? JSON.parse(data) : data;
					} catch (e) {
						console.error("JSON parsing failed:", e);
						return container;
					}
			
					for (var sectionTitle in parsedData) {
						if (!parsedData.hasOwnProperty(sectionTitle)) {
							continue;
						}
			
						var sectionData = parsedData[sectionTitle];
						var heading = document.createElement("h2");
						heading.textContent = sectionTitle;
						container.appendChild(heading);
			
						var table = document.createElement("table");
						table.style.borderCollapse = "collapse";
						table.style.marginBottom = "2em";
						table.style.width = "100%";
			
						var thead = document.createElement("thead");
						var headerRow = document.createElement("tr");
			
						var allValueKeys = new Set();
						var allResultKeys = new Set();
			
						sectionData.forEach(entry => {
							var values = entry.values || {};
							var results = entry.results || {};
			
							Object.keys(values).forEach(key => {
								allValueKeys.add(key);
							});
			
							Object.keys(results).forEach(key => {
								allResultKeys.add(key);
							});
						});
			
						var sortedValueKeys = Array.from(allValueKeys).sort();
						var sortedResultKeys = Array.from(allResultKeys).sort();
			
						if (sortedValueKeys.includes("trial_index")) {
							sortedValueKeys = sortedValueKeys.filter(k => k !== "trial_index");
							sortedValueKeys.unshift("trial_index");
						}
			
						var allColumns = [...sortedValueKeys, ...sortedResultKeys];
			
						allColumns.forEach(col => {
							var th = document.createElement("th");
							th.textContent = col;
							th.style.border = "1px solid black";
							th.style.padding = "4px";
							headerRow.appendChild(th);
						});
			
						thead.appendChild(headerRow);
						table.appendChild(thead);
			
						var tbody = document.createElement("tbody");
			
						sectionData.forEach(entry => {
							var tr = document.createElement("tr");
			
							allColumns.forEach(col => {
								var td = document.createElement("td");
								td.style.border = "1px solid black";
								td.style.padding = "4px";
			
								var value = null;
			
								if (col in entry.values) {
									value = entry.values[col];
								} else if (col in entry.results) {
									value = entry.results[col];
								}
			
								if (Array.isArray(value)) {
									td.textContent = value.join(", ");
								} else {
									td.textContent = value !== null && value !== undefined ? value : "";
								}
			
								tr.appendChild(td);
							});
			
							tbody.appendChild(tr);
						});
			
						table.appendChild(tbody);
						container.appendChild(table);
					}
			
					return container;
				} catch (err) {
					console.error("Unexpected error:", err);
					var errorDiv = document.createElement("div");
					errorDiv.textContent = "Error generating tables.";
					return errorDiv;
				}
			}
			
			function get_pareto_table_data_from_idx () {
				if (!Object.keys(window).includes("pareto_idxs")) {
					error("pareto_idxs is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
				var x_keys = Object.keys(pareto_idxs);
			
				var tables = {};
			
				for (var i = 0; i < x_keys.length; i++) {
					var x_key = x_keys[i];
					var y_keys = Object.keys(pareto_idxs[x_key]);
			
					for (var j = 0; j < y_keys.length; j++) {
						var y_key = y_keys[j];
			
						var indices = pareto_idxs[x_key][y_key];
			
						for (var k = 0; k < indices.length; k++) {
							var idx = indices[k];
							var row = get_row_by_index(idx);
			
							if(row === null) {
								error(`Error getting the row for index ${idx}`);
								return;
							}
			
							var row_dict = {
								"results": {},
								"values": {},
							};
			
							for (var l = 0; l < tab_results_headers_json.length; l++) {
								var header = tab_results_headers_json[l];
			
								if (!special_col_names.includes(header) || header == "trial_index") {
									var val = row[l];
			
									if (result_names.includes(header)) {
										if (!Object.keys(row_dict["results"]).includes(header)) {
											row_dict["results"][header] = [];
										}
			
										row_dict["results"][header].push(val);
									} else {
										if (!Object.keys(row_dict["values"]).includes(header)) {
											row_dict["values"][header] = [];
										}
										row_dict["values"][header].push(val);
									}
								}
								
							}
			
							var table_key = `Pareto front for ${x_key}/${y_key}`;
			
							if(!Object.keys(tables).includes(table_key)) {
								tables[table_key] = [];
							}
			
							tables[table_key].push(row_dict);
						}
			
					}
				}
			
				return tables;
			}
			
			function getMinMaxByResultName(resultName) {
				try {
					if (typeof resultName !== "string") {
						error("Parameter resultName must be a string");
						return;
					}
			
					if (!Array.isArray(result_names)) {
						error("Global variable result_names is not an array or undefined");
						return;
					}
					if (!Array.isArray(result_min_max)) {
						error("Global variable result_min_max is not an array or undefined");
						return;
					}
			
					if (result_names.length !== result_min_max.length) {
						error("Global arrays result_names and result_min_max must have the same length");
						return;
					}
			
					var index = result_names.indexOf(resultName);
					if (index === -1) {
						error("Result name '" + resultName + "' not found in result_names");
						return;
					}
			
					var minMaxValue = result_min_max[index];
			
					if (minMaxValue !== "min" && minMaxValue !== "max") {
						error("Value for result name '" + resultName + "' is invalid: expected 'min' or 'max'");
						return;
					}
			
					return minMaxValue;
			
				} catch (e) {
					error("Unexpected error: " + e.message);
				}
			}
			

			$(document).ready(function() {
				colorize_table_entries();;
				plotWorkerUsage();;
				plotCPUAndRAMUsage();;
				createParallelPlot(tab_results_csv_json, tab_results_headers_json, result_names, special_col_names);;
				plotScatter2d();;
				plotScatter3d();
				plotJobStatusDistribution();;
				plotBoxplot();;
				plotViolin();;
				plotHistogram();;
				plotHeatmap();;
				plotResultPairs();;
				plotResultEvolution();;
				plotExitCodesPieChart();

				colorize_table_entries();
			});
		</script>

					<h1>&nbsp;Overview</h1>
			<h2>Experiment overview:               </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Setting</th><th>Value </th></tr></thead><tbody><tr><td> Max. nr. evaluations</td><td>50492 </td></tr><tr><td> Max. nr. evaluations (from arguments)</td><td>50000 </td></tr><tr><td> Number random steps</td><td>20    </td></tr><tr><td> Nr. of workers (parameter)</td><td>20    </td></tr><tr><td> Main process memory (GB)</td><td>8     </td></tr><tr><td> Worker memory (GB)</td><td>1     </td></tr><tr><td> Nr. imported jobs</td><td>492   </td></tr></tbody></table><h2>Experiment parameters:                                                </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Name</th><th>Type</th><th>Lower bound</th><th>Upper bound</th><th>Values</th><th>Type</th><th>Log Scale? </th></tr></thead><tbody><tr><td> recent_samples_size</td><td>int</td><td>1</td><td>5000</td><td></td><td>int</td><td>No         </td></tr><tr><td> feature_id</td><td>int</td><td>0</td><td>26</td><td></td><td>int</td><td>No         </td></tr><tr><td> batch_size</td><td>int</td><td>1</td><td>5000</td><td></td><td>int</td><td>No         </td></tr><tr><td> divergence</td><td>choice</td><td></td><td></td><td>str\(\&#039;H\&#039;\), str\(\&#039;KL\&#039;\)</td><td></td><td></td></tr><tr><td> detect_batch</td><td>choice</td><td></td><td></td><td>1, 2, 3</td><td></td><td></td></tr><tr><td> statistic</td><td>choice</td><td></td><td></td><td>str\(\&#039;stdev\&#039;\), str\(\&#039;tstat\&#039;\)</td><td></td><td></td></tr><tr><td> significance</td><td>float</td><td>0.001</td><td>0.999</td><td></td><td>float</td><td>No         </td></tr><tr><td> subsets</td><td>int</td><td>1</td><td>100</td><td></td><td>int</td><td>No         </td></tr></tbody></table><h2>Number of evaluations</h2>
			<table>
			<tbody>
			<tr>
			<th>Failed</th>
			<th>Succeeded</th>
			<th>Running</th>
			<th>Total</th>
			</tr>
			<tr>
			<td>28</td>
			<td>835</td>
			<td>1</td>
			<td>864</td>
			</tr>
			</tbody>
			</table>
			<h2>Result names and types</h2>
			<table>
			<tr><th>name</th><th>min/max</th></tr>
			<tr>
			<td>ACCURACY</td>
			<td>max</td>
			</tr>
			<tr>
			<td>RUNTIME</td>
			<td>min</td>
			</tr>
			</table>
			<br>
			<h2>Git-Version</h2>
			<tt>Commit: 2223ae6553abdd3e288f4b391080b763a7a48477
			</tt>
			<h1>&nbsp;Results</h1>
			<div id='tab_results_csv_table'></div>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; as file</button>
<pre id='tab_results_csv_table_pre'>trial_index,arm_name,trial_status,generation_method,generation_node,ACCURACY,RUNTIME,recent_samples_size,feature_id,batch_size,divergence,detect_batch,statistic,significance,subsets
0,0_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,137.000000000000000000000000000000,2036,11,3837,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.865809730529785159802713678801,46
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.110000000000000000555111512313,174.000000000000000000000000000000,2744,25,1912,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.424535144411027409727665826722,55
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.160000000000000003330669073875,111.000000000000000000000000000000,3795,0,2514,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.611936304615810500173722630279,100
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.119999999999999995559107901499,306.000000000000000000000000000000,744,14,724,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.179462228976190102391896630252,1
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,209.000000000000000000000000000000,131,4,1333,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.711495853889733576025378170016,84
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,163.000000000000000000000000000000,4433,18,4406,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.029049696257337928595454457081,17
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,148.000000000000000000000000000000,3376,7,18,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.964448091138154217638600584905,37
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,140.000000000000000000000000000000,1417,20,3229,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.275150638988241547089330651943,64
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,144.000000000000000000000000000000,1673,1,479,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.669270227186381849726615200780,76
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,144.000000000000000000000000000000,3475,15,3696,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.102757855849340565268512648345,25
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.119999999999999995559107901499,178.000000000000000000000000000000,4998,12,1804,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.913368176333606229810868626373,29
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.209999999999999992228438827624,103.000000000000000000000000000000,540,26,4882,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.357606488781049836056524782180,72
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,187.000000000000000000000000000000,1156,8,2985,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.753369416972622274464299607644,39
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.110000000000000000555111512313,219.000000000000000000000000000000,4363,22,1199,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.443711830455809808082534573259,62
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,139.000000000000000000000000000000,2840,6,4299,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.506294459721073453195572255936,91
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,150.000000000000000000000000000000,2288,19,2378,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.191733845669776192810473958161,10
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,176.000000000000000000000000000000,2361,5,3454,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.404972525225952284522179525084,91
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,136.000000000000000000000000000000,3058,19,418,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.838895667932927580068280803971,10
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.170000000000000012212453270877,142.000000000000000000000000000000,4115,9,4767,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.152985974537208663237564110204,43
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,201.000000000000000000000000000000,1073,23,1597,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.591814048312604423784932805574,58
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,133.000000000000000000000000000000,437,11,948,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.047938468147069215885558435275,29
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,159.000000000000000000000000000000,4728,25,2915,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.739692897429689799615459833149,72
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,186.000000000000000000000000000000,3676,2,2273,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.302780438710004096147798691163,81
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.110000000000000000555111512313,185.000000000000000000000000000000,1728,16,4100,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.983782280674204256953885305848,20
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,133.000000000000000000000000000000,1353,7,2115,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.067784227780997755030689688738,32
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.110000000000000000555111512313,176.000000000000000000000000000000,3145,21,3937,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.625970539825037142200869766384,69
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.160000000000000003330669073875,300.000000000000000000000000000000,4673,3,799,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.313891832880675791805913377175,86
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.119999999999999995559107901499,178.000000000000000000000000000000,225,17,2761,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.878931342976167817582222596684,15
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.149999999999999994448884876874,142.000000000000000000000000000000,855,1,4618,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.479351691683754299599939940890,95
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,140.000000000000000000000000000000,4054,15,1443,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.795393740314990327355815225019,6
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,107.000000000000000000000000000000,4912,26,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.347735583175847018377879749096,90
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,174.000000000000000000000000000000,3474,8,4943,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.370284197786473201485790696097,89
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,115.000000000000000000000000000000,1,26,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.343883583797504721601967503375,99
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,87.000000000000000000000000000000,1567,26,4648,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.414272003248824294274754720391,41
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,116.000000000000000000000000000000,78,26,4707,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.448324259664915902856563434398,100
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,93.000000000000000000000000000000,1,26,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.319240731783105635699371305236,87
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,138.000000000000000000000000000000,3622,20,4983,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.392945178469647826702271231625,65
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,176.000000000000000000000000000000,415,4,4465,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.369011719433316398575328776133,47
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,118.000000000000000000000000000000,4707,26,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.289899793210621703476448374204,100
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,94.000000000000000000000000000000,233,26,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.322467096185594659374373804894,63
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,106.000000000000000000000000000000,151,26,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.253545080562552538339105012710,100
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,166.000000000000000000000000000000,180,12,4999,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.352828801057586571854329804410,97
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,121.000000000000000000000000000000,815,26,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.412521903415280166704803832545,100
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,99.000000000000000000000000000000,1,0,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.291167064644084483404640195658,100
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,105.000000000000000000000000000000,1,26,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.394936303190179804900594717765,77
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,150.000000000000000000000000000000,1254,3,4904,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.453803835685146428335912105467,68
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,65.000000000000000000000000000000,22,0,4965,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.350494788237622534321502598686,32
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,88.000000000000000000000000000000,4543,26,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.311331345868831377288188377861,96
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,115.000000000000000000000000000000,1,26,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.388821208375676075075233484313,100
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,94.000000000000000000000000000000,3709,26,4782,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.381385453387375117362267928911,15
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,203.000000000000000000000000000000,834,25,4912,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.432879237046687181944548683532,2
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,147.000000000000000000000000000000,1899,15,4984,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.375151933037439933027457072967,64
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,94.000000000000000000000000000000,2746,26,4831,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.343765158637252321582877812034,46
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,92.000000000000000000000000000000,207,26,4816,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.390122287453535943058113844017,35
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,122.000000000000000000000000000000,5000,26,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.393756830336541852055631807161,100
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,92.000000000000000000000000000000,48,26,4796,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.367615416234611080970040575266,64
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,92.000000000000000000000000000000,4887,26,4974,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.417287215709805536789644975215,59
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,118.000000000000000000000000000000,1,26,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.303105695220794668642838587402,100
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,108.000000000000000000000000000000,56,26,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.481762093657708001526174257378,100
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,100.000000000000000000000000000000,672,0,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.419690337986778183587688317857,100
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,188.000000000000000000000000000000,5000,26,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,3
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,90.000000000000000000000000000000,5000,26,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,61
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,118.000000000000000000000000000000,5000,26,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,105.000000000000000000000000000000,1045,26,580,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.518118312784720425057116699463,5
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,159.000000000000000000000000000000,3805,26,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,71
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,105.000000000000000000000000000000,609,26,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,110.000000000000000000000000000000,1129,26,2610,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,97
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,79.000000000000000000000000000000,4603,0,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,108.000000000000000000000000000000,3898,26,80,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,53.000000000000000000000000000000,1562,0,4277,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,41
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,101.000000000000000000000000000000,5000,26,3824,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,67
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,154.000000000000000000000000000000,5000,26,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,92.000000000000000000000000000000,5000,26,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,61
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,61.000000000000000000000000000000,2403,0,4569,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,9
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,131.000000000000000000000000000000,4561,26,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,168.000000000000000000000000000000,5000,26,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,76
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,103.000000000000000000000000000000,2510,0,785,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,253.000000000000000000000000000000,5000,26,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,551.000000000000000000000000000000,362,26,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,20
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,134.000000000000000000000000000000,775,10,4752,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,19
80,80_0,FAILED,BoTorch,GenerationStep_1,,,693,26,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,67
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,269.000000000000000000000000000000,3972,26,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,77
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,270.000000000000000000000000000000,1,26,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,116.000000000000000000000000000000,5000,26,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,58
84,84_0,FAILED,BoTorch,GenerationStep_1,,,1,26,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,136.000000000000000000000000000000,5000,26,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,79.000000000000000000000000000000,3088,0,4666,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,3
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,164.000000000000000000000000000000,5000,26,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,108.000000000000000000000000000000,5000,26,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,358.000000000000000000000000000000,750,26,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,17
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,62.000000000000000000000000000000,4099,0,4186,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,23
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,84.000000000000000000000000000000,233,26,4657,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,61
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,61.000000000000000000000000000000,4434,0,2726,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.724040838933210029182419020799,4
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,69.000000000000000000000000000000,3727,0,3627,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,64
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,131.000000000000000000000000000000,1746,26,4535,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.136615739708455641299167382385,100
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,57.000000000000000000000000000000,2035,0,3909,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,8
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,78.000000000000000000000000000000,3163,26,2709,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,149.000000000000000000000000000000,305,26,2461,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,84.000000000000000000000000000000,1732,26,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,9
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,67.000000000000000000000000000000,3182,0,2709,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.549761471838296378322752389067,42
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,159.000000000000000000000000000000,4946,1,4894,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.837512392176370190632894718874,17
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,104.000000000000000000000000000000,1376,0,3612,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.847800013682909803236498191836,1
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,66.000000000000000000000000000000,5000,0,2957,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.445759005207301772788497373767,51
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,134.000000000000000000000000000000,3514,1,4341,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,8
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,84.000000000000000000000000000000,3791,26,4554,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,86.000000000000000000000000000000,4280,0,4892,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,79
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,106.000000000000000000000000000000,1853,0,2596,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,65.000000000000000000000000000000,2022,0,2452,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.249543658657743472328860434573,1
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,64.000000000000000000000000000000,506,0,2286,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,74
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,70.000000000000000000000000000000,4385,0,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,64
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,62.000000000000000000000000000000,966,0,4599,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,128.000000000000000000000000000000,4362,1,3091,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,97
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,114.000000000000000000000000000000,1684,1,4009,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.083431348095294594058302095618,55
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,77.000000000000000000000000000000,1,0,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,82
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,143.000000000000000000000000000000,2651,0,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,32
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,138.000000000000000000000000000000,4312,1,3977,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.419070973357139664461357142500,38
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,108.000000000000000000000000000000,2571,0,2344,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,154.000000000000000000000000000000,2663,25,4476,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,91
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,70.000000000000000000000000000000,1477,0,3048,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,46
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,263.000000000000000000000000000000,1466,1,1785,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.885312094243243419278144301643,1
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,58.000000000000000000000000000000,2410,0,3785,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.537013498291809443507816013152,38
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,64.000000000000000000000000000000,3610,0,4569,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.685078396891933616430492293148,34
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,70.000000000000000000000000000000,1506,0,2710,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.979918184894998489653517026454,8
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,237.000000000000000000000000000000,4800,0,634,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,85.000000000000000000000000000000,2748,26,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,37
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,66.000000000000000000000000000000,3556,0,2541,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,58
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,92.000000000000000000000000000000,2669,0,2228,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,62
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,84.000000000000000000000000000000,656,26,3524,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.093985249661437120227702735065,100
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,106.000000000000000000000000000000,1,0,1620,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,63.000000000000000000000000000000,895,0,4827,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,60
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,61.000000000000000000000000000000,316,0,3820,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,73
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,106.000000000000000000000000000000,1211,0,4864,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,157.000000000000000000000000000000,2809,26,2269,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,52.000000000000000000000000000000,3120,0,4282,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,55
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,115.000000000000000000000000000000,3310,26,2428,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,97.000000000000000000000000000000,1,0,558,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.986857119894620771205495657341,62
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,147.000000000000000000000000000000,1142,10,89,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,63
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,298.000000000000000000000000000000,644,0,528,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,91.000000000000000000000000000000,4009,26,1578,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
139,139_0,FAILED,BoTorch,GenerationStep_1,,,3746,0,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.488440277712447967761733025327,1
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,76.000000000000000000000000000000,1903,26,3162,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,93.000000000000000000000000000000,672,26,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,22
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,191.000000000000000000000000000000,808,10,2046,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,62
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,106.000000000000000000000000000000,289,0,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,62.000000000000000000000000000000,3038,0,2829,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,97.000000000000000000000000000000,2868,26,2791,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,59
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,91.000000000000000000000000000000,4782,0,3189,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,100.000000000000000000000000000000,2920,0,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,152.000000000000000000000000000000,659,9,2453,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,71
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,148.000000000000000000000000000000,3055,10,890,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.674586233303063220745343642193,70
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,95.000000000000000000000000000000,4511,26,3995,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,67
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,83.000000000000000000000000000000,4004,26,3369,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,30
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,59.000000000000000000000000000000,1457,0,3112,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.973848827864816524169100375730,69
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,70.000000000000000000000000000000,1370,0,3724,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.763812534999354197928767007397,38
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,52.000000000000000000000000000000,1865,0,3092,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,46
155,155_0,FAILED,BoTorch,GenerationStep_1,,,5000,26,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,74.000000000000000000000000000000,3941,26,4352,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,98.000000000000000000000000000000,2086,0,3189,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,79.000000000000000000000000000000,1,0,1108,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,179.000000000000000000000000000000,952,9,653,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,33
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,88.000000000000000000000000000000,1130,26,3586,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,41
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,63.000000000000000000000000000000,432,0,3269,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,44
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,92.000000000000000000000000000000,5000,26,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,24
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,69.000000000000000000000000000000,4433,0,3861,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,64
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,108.000000000000000000000000000000,4105,26,2888,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,58.000000000000000000000000000000,2602,0,4665,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.316790367905547265436894122104,50
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,107.000000000000000000000000000000,2272,26,3056,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,18
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,85.000000000000000000000000000000,1407,26,3284,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,164.000000000000000000000000000000,4515,9,247,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,466.000000000000000000000000000000,3156,9,686,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,90.000000000000000000000000000000,2145,26,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.749381046240219728105103058624,100
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,81.000000000000000000000000000000,4628,26,2818,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,27
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,151.000000000000000000000000000000,5000,26,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
173,173_0,FAILED,BoTorch,GenerationStep_1,,,1635,0,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,86.000000000000000000000000000000,392,26,2198,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,62
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,62.000000000000000000000000000000,3987,0,2450,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,41
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,145.000000000000000000000000000000,2376,9,4801,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,62
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,98.000000000000000000000000000000,1700,0,3626,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,103.000000000000000000000000000000,2573,26,3512,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,146.000000000000000000000000000000,5000,26,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,100.000000000000000000000000000000,1,26,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,48
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,79.000000000000000000000000000000,4657,0,3774,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.017777074486091302973900241113,59
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,192.000000000000000000000000000000,4767,9,1726,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,171.000000000000000000000000000000,4933,9,223,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
184,184_0,FAILED,BoTorch,GenerationStep_1,,,5000,0,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,87.000000000000000000000000000000,17,26,3741,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,66
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,85.000000000000000000000000000000,5000,26,4245,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
187,155_0,FAILED,BoTorch,GenerationStep_1,,,5000,26,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,157.000000000000000000000000000000,2927,9,100,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.009540946170682648372340928233,1
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,111.000000000000000000000000000000,1,26,2262,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,60.000000000000000000000000000000,4854,0,4093,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,51
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,108.000000000000000000000000000000,5000,26,1726,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,182.000000000000000000000000000000,2900,9,155,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,7
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,188.000000000000000000000000000000,4830,9,1845,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,164.000000000000000000000000000000,2881,9,72,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
195,195_0,FAILED,BoTorch,GenerationStep_1,,,403,26,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,70
196,196_0,FAILED,BoTorch,GenerationStep_1,,,1548,26,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,71
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,111.000000000000000000000000000000,586,26,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,60
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,80.000000000000000000000000000000,673,0,342,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,185.000000000000000000000000000000,4197,9,3303,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,201.000000000000000000000000000000,4260,9,1960,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,63.000000000000000000000000000000,1,0,3646,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,52
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,140.000000000000000000000000000000,635,9,1481,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,95.000000000000000000000000000000,2230,26,1042,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,54
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,105.000000000000000000000000000000,4424,26,4173,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,63
205,205_0,FAILED,BoTorch,GenerationStep_1,,,3405,0,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,33
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,265.000000000000000000000000000000,3405,9,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,85.000000000000000000000000000000,1,26,4636,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,50
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,234.000000000000000000000000000000,476,9,2754,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,91.000000000000000000000000000000,1,26,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
210,210_0,FAILED,BoTorch,GenerationStep_1,,,992,26,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,74
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,98.000000000000000000000000000000,212,26,4805,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.156441326495909360794200892997,1
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,106.000000000000000000000000000000,835,26,3157,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,72
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,79.000000000000000000000000000000,3008,0,2848,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,83.000000000000000000000000000000,1,26,4560,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.299380815838541647355697250532,100
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,153.000000000000000000000000000000,5000,0,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
216,216_0,FAILED,BoTorch,GenerationStep_1,,,3473,26,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,61
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,80.000000000000000000000000000000,1,26,3355,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,99.000000000000000000000000000000,2130,26,1113,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,73
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,119.000000000000000000000000000000,4009,26,1415,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,63
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,134.000000000000000000000000000000,5000,0,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,169.000000000000000000000000000000,1,26,2366,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,86.000000000000000000000000000000,783,26,3610,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,126.000000000000000000000000000000,1,26,1738,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,76
224,224_0,FAILED,BoTorch,GenerationStep_1,,,5000,0,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,52.000000000000000000000000000000,4092,0,4843,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,56
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,110.000000000000000000000000000000,2952,26,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
227,227_0,FAILED,BoTorch,GenerationStep_1,,,2318,26,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,76
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,130.000000000000000000000000000000,661,26,1505,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,74
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,196.000000000000000000000000000000,5000,0,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
230,230_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,62.000000000000000000000000000000,396,0,4775,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,62
231,231_0,FAILED,BoTorch,GenerationStep_1,,,5000,26,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,45
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,101.000000000000000000000000000000,3810,26,668,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,32
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,140.000000000000000000000000000000,4706,0,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,90
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,176.000000000000000000000000000000,2652,13,4714,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,98
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,113.000000000000000000000000000000,616,26,3121,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,84
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,90.000000000000000000000000000000,3755,26,793,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,33
237,237_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,140.000000000000000000000000000000,5000,0,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,49
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,64.000000000000000000000000000000,1688,0,771,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,28
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,168.000000000000000000000000000000,3867,13,4370,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,52
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,58.000000000000000000000000000000,2514,0,2140,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,36
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,91.000000000000000000000000000000,3815,26,2860,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,29
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,98.000000000000000000000000000000,4188,26,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,63
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,123.000000000000000000000000000000,1481,26,4396,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,52
244,244_0,FAILED,BoTorch,GenerationStep_1,,,1,0,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,67.000000000000000000000000000000,4214,0,2196,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,40
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,59.000000000000000000000000000000,3159,0,1512,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,43
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,88.000000000000000000000000000000,1,26,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,75.000000000000000000000000000000,280,26,3159,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,72
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,100.000000000000000000000000000000,2607,26,2158,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,46
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,64.000000000000000000000000000000,253,0,1856,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,23
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,105.000000000000000000000000000000,2970,0,661,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,60.000000000000000000000000000000,69,0,2755,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,34
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,128.000000000000000000000000000000,2971,26,2228,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
254,254_0,FAILED,BoTorch,GenerationStep_1,,,1,0,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,7
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,73.000000000000000000000000000000,476,0,1112,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,24
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,64.000000000000000000000000000000,1915,0,1512,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,41
257,257_0,FAILED,BoTorch,GenerationStep_1,,,5000,26,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,31
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,70.000000000000000000000000000000,1,0,1854,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,29
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,140.000000000000000000000000000000,295,26,1560,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,72.000000000000000000000000000000,1200,0,1384,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,22
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,101.000000000000000000000000000000,517,26,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,39
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,193.000000000000000000000000000000,1646,9,83,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,152.000000000000000000000000000000,3233,9,1883,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,22
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,85.000000000000000000000000000000,3088,26,2971,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,50
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,86.000000000000000000000000000000,480,26,4342,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,51
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,88.000000000000000000000000000000,3250,26,3035,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,76
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,108.000000000000000000000000000000,3792,26,3894,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,53
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,65.000000000000000000000000000000,4918,0,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,50
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,885.000000000000000000000000000000,2385,26,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,25
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,100.000000000000000000000000000000,1625,26,1839,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.440135093659262566223588919456,51
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,108.000000000000000000000000000000,4037,26,839,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.505701142918620227817427803529,52
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,137.000000000000000000000000000000,4628,26,1836,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.251146618741121652185199764062,1
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,91.000000000000000000000000000000,2342,26,879,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.707931762562762245671876826236,13
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,64.000000000000000000000000000000,605,0,4643,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.559000657594778682657477020257,25
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,103.000000000000000000000000000000,770,26,3250,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.576038351147251215245148614486,1
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,133.000000000000000000000000000000,5000,26,900,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.002991879387738009040548226025,91
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,103.000000000000000000000000000000,3968,26,1473,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.540458145109692034147030881286,1
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,85.000000000000000000000000000000,1116,26,1499,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.604407986471402147721221354004,22
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,134.000000000000000000000000000000,3129,26,1095,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.650619483980685697765977693052,3
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,110.000000000000000000000000000000,3790,26,2835,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.558013446046510486198144462833,92
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,110.000000000000000000000000000000,5000,26,2072,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,7
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,89.000000000000000000000000000000,4831,26,3495,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.459322745355330019911832550861,67
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,140.000000000000000000000000000000,1209,26,3349,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.509138846902150832285371961916,100
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,119.000000000000000000000000000000,4802,26,2049,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.210815934184066855472394763638,75
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,183.000000000000000000000000000000,3372,26,1967,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.478373581821903315347555007975,100
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,167.000000000000000000000000000000,1329,26,2012,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.352723063552290161393187872818,1
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,155.000000000000000000000000000000,5000,26,1354,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.255185275392329491417342524073,100
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,105.000000000000000000000000000000,4299,26,686,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.488433366879005737004604270624,1
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,281.000000000000000000000000000000,4736,26,709,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.553425254610230843432816527638,90
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,95.000000000000000000000000000000,2870,26,4897,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.621813268744106917296221581637,62
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,115.000000000000000000000000000000,49,26,2436,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.474363067445692787593714001559,1
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,197.000000000000000000000000000000,2014,26,1351,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.552948056747387006737426418113,98
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,114.000000000000000000000000000000,4931,26,1314,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.539038144673222863190176212811,24
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,85.000000000000000000000000000000,2923,26,1444,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.469749745495481818569061260860,90
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,78.000000000000000000000000000000,3517,0,1987,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.582806802661320011438306210039,60
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,134.000000000000000000000000000000,4244,0,3920,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.490657805262523727396484218843,1
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,118.000000000000000000000000000000,1,0,3174,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.141055243768124255465679084409,1
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,113.000000000000000000000000000000,1616,26,2009,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.650068994899689944766407734278,100
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,97.000000000000000000000000000000,5000,26,1082,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,16
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,83.000000000000000000000000000000,3603,26,4160,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,43
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,92.000000000000000000000000000000,658,26,2310,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.100993095976302904581700659037,44
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,81.000000000000000000000000000000,1334,26,2805,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.613492270024209473966436689807,36
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,82.000000000000000000000000000000,2935,26,2842,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.402283911332293520057845626070,17
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,88.000000000000000000000000000000,1320,26,2137,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.681771428072129204167595162289,12
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,86.000000000000000000000000000000,2903,26,2127,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.349083028064906930598709777769,17
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,139.000000000000000000000000000000,593,26,1078,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.514657256518778360998567222850,1
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,102.000000000000000000000000000000,4223,26,2743,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.719835747007732562607884574390,89
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,92.000000000000000000000000000000,3683,26,2692,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.942372044432570943328641988046,16
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,105.000000000000000000000000000000,1350,26,3646,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,64
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,94.000000000000000000000000000000,4606,26,4747,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.987996311931056414579188640346,67
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,137.000000000000000000000000000000,1175,26,301,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.469499283134912848147735076054,1
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,105.000000000000000000000000000000,3716,26,2615,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.421983070478549271431489842143,1
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,131.000000000000000000000000000000,308,26,82,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.347995777717620524693842298802,3
314,314_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,89.000000000000000000000000000000,4064,26,2794,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.491949667181984628960833560996,1
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,70.000000000000000000000000000000,1933,0,4922,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.569876797744726659722402928310,83
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,89.000000000000000000000000000000,4927,26,3184,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.603496428820492036848577299679,24
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,65.000000000000000000000000000000,1476,0,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.486773797173893518763776455671,71
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,99.000000000000000000000000000000,2088,26,3332,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.476438534836796212523779558978,11
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,93.000000000000000000000000000000,3930,26,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.624389516574074709964747853519,1
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,93.000000000000000000000000000000,4037,26,3711,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.577404773989019126645416690735,47
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,94.000000000000000000000000000000,181,26,2647,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.157993794406291077070392248061,1
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,103.000000000000000000000000000000,1669,26,2891,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.423260423296371979251517814191,85
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,94.000000000000000000000000000000,2416,0,1174,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.626036251793739006998862350883,69
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,138.000000000000000000000000000000,819,26,1471,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.152786063389144383117823622342,2
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,93.000000000000000000000000000000,2138,26,2767,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.551588177208922281202774229314,29
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,106.000000000000000000000000000000,1890,26,3565,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.364548990209708767551433084009,58
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,137.000000000000000000000000000000,2808,26,1940,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.575754991011622863084085111041,1
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,100.000000000000000000000000000000,2863,26,112,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.773165374606460065187718555535,31
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,101.000000000000000000000000000000,4073,26,4360,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.542750729521208064021209338534,53
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,88.000000000000000000000000000000,1001,26,3252,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.431406105892584046390680896366,43
331,331_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,91.000000000000000000000000000000,2652,26,1090,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.412943891607349178318742133342,40
332,332_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,86.000000000000000000000000000000,2956,26,2625,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,45
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,86.000000000000000000000000000000,4465,26,1428,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.349671792352541588311254372456,46
334,334_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,76.000000000000000000000000000000,1414,26,3534,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,27
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,90.000000000000000000000000000000,3150,26,3401,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.647224146007013168002686143154,1
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,67.000000000000000000000000000000,893,0,4597,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.851093004891069759842991970800,77
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,67.000000000000000000000000000000,1090,0,2204,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.675478465075124656635807696148,20
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,91.000000000000000000000000000000,1519,26,194,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.741453166871173130481054158736,13
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,74.000000000000000000000000000000,1521,0,2079,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.496569802889642308851847474216,31
340,340_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,97.000000000000000000000000000000,4930,26,3855,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.650007917808789748015385612234,16
341,341_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,89.000000000000000000000000000000,1571,26,1631,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.186329311973319894368827931430,42
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,85.000000000000000000000000000000,1752,26,3783,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,87.000000000000000000000000000000,4749,26,461,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.723618533197430635617308780638,39
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,89.000000000000000000000000000000,2538,26,1564,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,16
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,70.000000000000000000000000000000,816,0,4747,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.511948213109078120730544014805,46
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,73.000000000000000000000000000000,979,0,2570,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.045774259574519304827333598951,51
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,106.000000000000000000000000000000,3904,0,3922,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.350633751108568203491699932783,1
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,67.000000000000000000000000000000,668,0,2869,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.966569158951662399381632440054,1
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,93.000000000000000000000000000000,3538,26,3614,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.644917995946955091568497664412,23
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,169.000000000000000000000000000000,3781,26,4015,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.225735858244576814701787270678,1
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,91.000000000000000000000000000000,2580,26,1649,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,8
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,75.000000000000000000000000000000,2835,0,898,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.614063852399922116553909745562,22
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,59.000000000000000000000000000000,1983,0,2883,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.827862624984343153933252779098,55
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,59.000000000000000000000000000000,4053,0,3096,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.080360245270772734382802582331,26
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,84.000000000000000000000000000000,4772,26,1663,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.335060647003918299358105059582,65
356,356_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,102.000000000000000000000000000000,1666,0,2215,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,73
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,104.000000000000000000000000000000,4873,0,1457,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.505406919697360845766809234192,1
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,63.000000000000000000000000000000,290,0,4128,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.269751545560163674686293688865,80
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,88.000000000000000000000000000000,4899,26,3555,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.355130108466506444475641046665,36
360,360_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,84.000000000000000000000000000000,4176,26,3798,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.399627730602796049641511899608,47
361,361_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,99.000000000000000000000000000000,1783,26,338,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.831090665519949367556762354070,33
362,362_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,60.000000000000000000000000000000,3633,0,4584,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.812698957245690190021036869439,44
363,363_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,88.000000000000000000000000000000,406,26,4718,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.597526283587979767375486517267,50
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,79.000000000000000000000000000000,648,26,912,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,36
365,365_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,66.000000000000000000000000000000,4955,0,2780,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.176485322607880662504342694774,81
366,366_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,70.000000000000000000000000000000,2327,0,1241,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.687854797130903139468216522801,1
367,367_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,58.000000000000000000000000000000,2607,0,2606,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.727357100361934683085962660698,52
368,368_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,105.000000000000000000000000000000,1352,26,366,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.523983124014557710701467385661,29
369,369_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,89.000000000000000000000000000000,4679,26,2567,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.645748169490744761134237705846,47
370,370_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,91.000000000000000000000000000000,440,26,755,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.289687282099013454494951247398,34
371,371_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,88.000000000000000000000000000000,2826,26,1357,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.294706832134015994650866332449,37
372,372_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,146.000000000000000000000000000000,1948,26,680,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.502110263179288307533454371878,1
373,373_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,66.000000000000000000000000000000,1727,0,4496,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.983675042962290469006347848335,51
374,374_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,61.000000000000000000000000000000,39,0,2214,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.601455728912246190276391644147,25
375,375_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,55.000000000000000000000000000000,2888,0,2610,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.744067914141880559775188430649,97
376,376_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,73.000000000000000000000000000000,130,0,613,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.623825981875421597955266861391,23
377,377_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,72.000000000000000000000000000000,1838,0,4668,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.614131422054476461269700848788,1
378,378_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,363.000000000000000000000000000000,3507,9,343,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,72.000000000000000000000000000000,1402,0,3415,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.503519073729750243906266859995,69
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,63.000000000000000000000000000000,4680,0,4515,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.189824187788277948252257942841,48
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,51.000000000000000000000000000000,3095,0,2260,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.745384389152798476629868673626,50
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,61.000000000000000000000000000000,3993,0,2389,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.100243074815186281045775729126,74
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,101.000000000000000000000000000000,4074,0,2509,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.519704670035759153101651008910,100
384,384_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,138.000000000000000000000000000000,5000,26,1656,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,231.000000000000000000000000000000,4615,9,996,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,91
386,386_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,89.000000000000000000000000000000,3493,26,1700,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.399975127519876405557397447410,48
387,387_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,91.000000000000000000000000000000,77,26,4154,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.635426041747246483915034787060,52
388,388_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,101.000000000000000000000000000000,4788,26,1804,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.623043488554722801886498473323,37
389,389_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,85.000000000000000000000000000000,2579,26,4100,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
390,390_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,97.000000000000000000000000000000,3060,26,368,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.102940084852167892948138216980,38
391,391_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,95.000000000000000000000000000000,2750,0,4964,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.479725829720103469355763081694,95
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,106.000000000000000000000000000000,3837,0,2769,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
393,393_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,161.000000000000000000000000000000,2310,9,1250,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.233559717954253898142269463278,22
394,394_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,82.000000000000000000000000000000,4630,26,4181,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.324930181432547593445292477554,1
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,87.000000000000000000000000000000,2111,26,4804,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.286461392501516753927859326723,100
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,86.000000000000000000000000000000,2801,26,415,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.586338946074864475477284031513,80
397,397_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,94.000000000000000000000000000000,4990,0,1868,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.159087011104437375808018373391,6
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,157.000000000000000000000000000000,4324,26,2547,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
399,399_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,90.000000000000000000000000000000,860,26,4483,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.800787656829552441095643189328,27
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,276.000000000000000000000000000000,3021,9,2336,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,64.000000000000000000000000000000,4617,0,4220,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.755879585078738758241456707765,61
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,67.000000000000000000000000000000,4904,0,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,142.000000000000000000000000000000,4366,26,126,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.038464979580186103857997181876,1
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,93.000000000000000000000000000000,3672,0,2952,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.196811988409021781931684813571,100
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,78.000000000000000000000000000000,2838,0,1288,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.150427033316776648241841485287,50
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,190.000000000000000000000000000000,3912,9,3661,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.766419148738572753032372020243,98
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,68.000000000000000000000000000000,4645,0,4541,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.873225668987532177567345570424,27
408,408_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,102.000000000000000000000000000000,3500,0,1767,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,93.000000000000000000000000000000,266,26,520,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.512163473314210082598663120734,100
410,410_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,157.000000000000000000000000000000,2728,9,2979,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.496378783414224311609785900146,74
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,67.000000000000000000000000000000,483,0,917,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.311441855975494841235473586494,30
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,158.000000000000000000000000000000,999,9,3458,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.645029873525469255035602600401,29
413,413_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,106.000000000000000000000000000000,104,0,3985,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
414,414_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,172.000000000000000000000000000000,541,9,1841,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,61
415,415_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,167.000000000000000000000000000000,3242,9,1652,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.486194159583467844232274046590,44
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,110.000000000000000000000000000000,600,0,3664,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.717063350520546372024455195060,1
417,417_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,188.000000000000000000000000000000,2470,9,3200,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,12
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,168.000000000000000000000000000000,3871,9,3983,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.359259017400073377146441089280,26
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,90.000000000000000000000000000000,3670,26,3128,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
420,420_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,75.000000000000000000000000000000,1444,0,641,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.577756150921913014251174445235,1
421,421_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,86.000000000000000000000000000000,4580,26,2755,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.249765716221009126396523924996,44
422,422_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,68.000000000000000000000000000000,4623,0,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.330912893080332892736805661116,34
423,423_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,60.000000000000000000000000000000,1926,0,4022,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.282155331653982877071484836051,63
424,424_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,78.000000000000000000000000000000,1124,26,4087,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,57
425,425_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,87.000000000000000000000000000000,4500,0,1696,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.323612041276209461138080314413,72
426,426_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,83.000000000000000000000000000000,742,26,4976,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.606680539085862724490993969084,77
427,427_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,66.000000000000000000000000000000,482,0,215,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.404894403766667354549468882396,86
428,428_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,121.000000000000000000000000000000,1349,0,900,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.640940962665808244835830009833,1
429,429_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,105.000000000000000000000000000000,4416,0,2297,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
430,430_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,61.000000000000000000000000000000,2852,0,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.756006623453773007881295598054,19
431,431_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,84.000000000000000000000000000000,4103,26,3017,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.303042974611504312143495099008,9
432,432_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,255.000000000000000000000000000000,4291,9,4926,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
433,433_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,65.000000000000000000000000000000,2309,0,1787,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.423783718446587409633963261513,37
434,434_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,66.000000000000000000000000000000,627,0,707,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.303934956204551076641706686132,100
435,435_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,59.000000000000000000000000000000,1749,0,2831,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.270153329289304189320120030970,45
436,436_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,227.000000000000000000000000000000,582,3,3615,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
437,437_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,141.000000000000000000000000000000,3376,26,4717,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.728120007897602117274971078587,100
438,438_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,90.000000000000000000000000000000,3696,0,1121,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,76
439,439_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,97.000000000000000000000000000000,402,26,2738,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.318540410292402653702481529763,58
440,440_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,352.000000000000000000000000000000,1892,0,579,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.262870268576660126580435417054,100
441,441_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,162.000000000000000000000000000000,3271,9,4991,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.307270322296946341023016202598,32
442,442_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,252.000000000000000000000000000000,1990,9,4117,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
443,443_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,101.000000000000000000000000000000,4568,0,15,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.446782745135383574375254056577,18
444,444_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,131.000000000000000000000000000000,2988,1,65,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.370057366955301225708296897210,76
445,445_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,125.000000000000000000000000000000,739,3,1267,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
446,446_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,136.000000000000000000000000000000,300,26,2461,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
447,447_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,231.000000000000000000000000000000,1969,3,3336,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
448,448_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,64.000000000000000000000000000000,1638,0,2278,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.283322180644092147527857150635,48
449,449_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,96.000000000000000000000000000000,1500,26,1911,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,44
450,450_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,71.000000000000000000000000000000,1478,0,677,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.251803491813543944832787246924,56
451,451_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,107.000000000000000000000000000000,1754,26,1315,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,33
452,452_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,65.000000000000000000000000000000,4634,0,1522,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.214520821475120970767136441282,89
453,453_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,90.000000000000000000000000000000,3686,26,3529,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,48
454,454_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,70.000000000000000000000000000000,2403,0,1656,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,46
455,455_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,82.000000000000000000000000000000,4372,26,813,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.744814034701245408776060230593,1
456,456_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,93.000000000000000000000000000000,4772,26,2015,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.172334435599572566299997333772,1
457,457_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,96.000000000000000000000000000000,3880,26,3975,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.821060088277676070056543267128,77
458,458_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,91.000000000000000000000000000000,274,26,3424,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,38
459,459_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,75.000000000000000000000000000000,111,0,1240,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.547001924074236089978739983053,96
460,460_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,148.000000000000000000000000000000,1733,26,3196,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
461,461_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,65.000000000000000000000000000000,4604,0,680,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.070898871258504025938407266949,13
462,462_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,252.000000000000000000000000000000,4223,9,4916,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.975541750785524519606894955359,1
463,463_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,83.000000000000000000000000000000,4400,26,794,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.751817284135657626364945826936,23
464,464_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,64.000000000000000000000000000000,797,0,1294,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.010574962740094381863364958463,68
465,465_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,95.000000000000000000000000000000,4612,26,4649,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
466,466_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,78.000000000000000000000000000000,1615,26,1203,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,74
467,467_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,67.000000000000000000000000000000,1386,0,1630,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.429181339601319600252082864245,24
468,468_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,67.000000000000000000000000000000,1059,0,1092,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.038249485188578534466952163484,47
469,469_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,151.000000000000000000000000000000,5000,26,1920,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
470,470_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,105.000000000000000000000000000000,4564,0,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.306083147629862217797835910460,1
471,471_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,122.000000000000000000000000000000,781,26,3847,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
472,472_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,280.000000000000000000000000000000,134,9,4552,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.974138373296716930660466005065,1
473,473_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,67.000000000000000000000000000000,678,0,1177,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.323419042221086749933078863251,83
474,474_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,273.000000000000000000000000000000,3306,13,948,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
475,475_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,52.000000000000000000000000000000,1936,0,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.744611745181732231912974384613,1
476,476_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,106.000000000000000000000000000000,1672,0,761,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
477,477_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,190.000000000000000000000000000000,2407,9,4360,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
478,478_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,99.000000000000000000000000000000,141,26,2556,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
479,479_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,65.000000000000000000000000000000,256,0,372,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.240144042199244428514859350798,33
480,480_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,89.000000000000000000000000000000,677,26,2677,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.729499529581393191257632224733,10
481,481_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,138.000000000000000000000000000000,4097,26,3132,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.755821319939885105654298058653,1
482,482_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,69.000000000000000000000000000000,2522,0,996,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.329631818055027392411204800737,53
483,483_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,91.000000000000000000000000000000,3293,26,1015,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.197075753151410015817646126379,35
484,484_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,93.000000000000000000000000000000,4495,26,3803,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.194543593682409809986211257637,51
485,485_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,65.000000000000000000000000000000,3784,0,1262,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.241901525254674093501350284896,1
486,486_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,65.000000000000000000000000000000,4921,0,1807,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.424155177920243653399978711604,1
487,487_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,81.000000000000000000000000000000,3222,26,2667,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,15
488,488_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,150.000000000000000000000000000000,4975,26,342,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.754763277233588381065487737942,1
489,489_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,61.000000000000000000000000000000,289,0,4438,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.660817506999704984416155184590,55
490,490_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,95.000000000000000000000000000000,3466,26,3676,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,14
491,491_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,167.000000000000000000000000000000,4932,0,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.409097732701197258631253816930,1
492,492_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,64.000000000000000000000000000000,2768,0,1819,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,46
493,493_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,58.000000000000000000000000000000,2909,0,3374,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.231849968562504032965065903227,100
494,494_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,105.000000000000000000000000000000,3679,0,2475,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.562645426392526237791003040911,3
495,495_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,104.000000000000000000000000000000,3300,0,1968,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
496,496_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,93.000000000000000000000000000000,3918,26,3301,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,71
497,497_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,52.000000000000000000000000000000,1416,0,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.835763497241975961138393813599,100
498,498_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,138.000000000000000000000000000000,787,26,3730,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.750360670221699166404505376704,1
499,499_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,86.000000000000000000000000000000,4508,26,1504,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,54
500,500_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,64.000000000000000000000000000000,464,0,2688,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.497230189511954245862312973259,1
501,501_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,60.000000000000000000000000000000,1040,0,3377,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.064080853099262286010073808029,49
502,502_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,85.000000000000000000000000000000,3059,26,2358,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,98
503,503_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,104.000000000000000000000000000000,4227,26,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.654333389553516941994359967794,42
504,504_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,84.000000000000000000000000000000,3451,26,2192,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,34
505,505_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,75.000000000000000000000000000000,1677,26,1212,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,43
506,506_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,61.000000000000000000000000000000,2965,0,1878,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.070902374216893271352546435082,1
507,507_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,60.000000000000000000000000000000,2670,0,3167,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
508,508_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,138.000000000000000000000000000000,2499,26,3343,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
509,509_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,90.000000000000000000000000000000,3987,26,4158,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.403502093554268248531968765747,38
510,510_0,COMPLETED,Sobol,SOBOL,0.220000000000000001110223024625,97.000000000000000000000000000000,77,26,3902,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.913172867059707682457769806206,7
511,511_0,COMPLETED,Sobol,SOBOL,0.100000000000000005551115123126,144.000000000000000000000000000000,3798,11,646,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.316165090175345553369368190033,66
512,512_0,COMPLETED,Sobol,SOBOL,0.119999999999999995559107901499,203.000000000000000000000000000000,2752,17,3714,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.515966040527448099872742659500,88
513,513_0,COMPLETED,Sobol,SOBOL,0.100000000000000005551115123126,162.000000000000000000000000000000,1511,5,1731,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.239711335694417354558183319568,35
514,514_0,COMPLETED,Sobol,SOBOL,0.119999999999999995559107901499,180.000000000000000000000000000000,2278,14,464,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.640146264860406488672595060052,82
515,515_0,COMPLETED,Sobol,SOBOL,0.149999999999999994448884876874,166.000000000000000000000000000000,3537,1,4709,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.105541316935792564568608042919,42
516,516_0,COMPLETED,Sobol,SOBOL,0.130000000000000004440892098501,172.000000000000000000000000000000,4915,23,2152,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.804330147130414840894729877618,14
517,517_0,COMPLETED,Sobol,SOBOL,0.100000000000000005551115123126,160.000000000000000000000000000000,1136,7,2668,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.465697824938222759705297448818,60
518,518_0,COMPLETED,Sobol,SOBOL,0.100000000000000005551115123126,184.000000000000000000000000000000,758,19,2462,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.745776070460677176221508943854,79
519,519_0,COMPLETED,Sobol,SOBOL,0.149999999999999994448884876874,161.000000000000000000000000000000,4518,3,2983,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.025008239969611167213825453359,46
520,520_0,COMPLETED,Sobol,SOBOL,0.110000000000000000555111512313,188.000000000000000000000000000000,3321,25,149,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.823219171833246998737365629495,24
521,521_0,COMPLETED,Sobol,SOBOL,0.119999999999999995559107901499,179.000000000000000000000000000000,2041,12,4398,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.421224748324602826787810272435,51
522,522_0,COMPLETED,Sobol,SOBOL,0.110000000000000000555111512313,258.000000000000000000000000000000,1597,21,3400,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.956171174250543098871446545672,5
523,523_0,COMPLETED,Sobol,SOBOL,0.190000000000000002220446049250,171.000000000000000000000000000000,2817,9,1421,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.297775250516831901936853910229,70
524,524_0,COMPLETED,Sobol,SOBOL,0.100000000000000005551115123126,189.000000000000000000000000000000,4347,15,4212,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.596974538106471275256126318709,98
525,525_0,COMPLETED,Sobol,SOBOL,0.179999999999999993338661852249,71.000000000000000000000000000000,607,0,961,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.132632477898150691331125017314,27
526,526_0,COMPLETED,Sobol,SOBOL,0.110000000000000000555111512313,188.000000000000000000000000000000,323,16,2885,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.368047666126862182967016678958,95
527,527_0,COMPLETED,Sobol,SOBOL,0.149999999999999994448884876874,214.000000000000000000000000000000,4084,1,2286,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.901614355260506261657837967505,30
528,528_0,COMPLETED,Sobol,SOBOL,0.100000000000000005551115123126,157.000000000000000000000000000000,3120,20,4574,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.202813505290076134812693453568,1
529,529_0,COMPLETED,Sobol,SOBOL,0.100000000000000005551115123126,162.000000000000000000000000000000,1840,8,247,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.542509070156142136909238615772,74
530,530_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,91.000000000000000000000000000000,2122,26,1121,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.106027062312763320495179186764,35
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,112.000000000000000000000000000000,2297,26,3159,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,55
532,532_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,73.000000000000000000000000000000,330,0,1145,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.697373196369333814281787908840,43
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,120.000000000000000000000000000000,2671,26,1169,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.698778036770450694525891321973,51
534,534_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,68.000000000000000000000000000000,46,0,1754,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.639834535066537091196892106382,42
535,535_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,79.000000000000000000000000000000,2407,0,2272,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,41
536,536_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,74.000000000000000000000000000000,1292,0,604,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.718640759093993386485976770928,66
537,537_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,78.000000000000000000000000000000,4277,0,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,58
538,538_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,63.000000000000000000000000000000,4187,0,2568,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,19
539,539_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,3642.000000000000000000000000000000,698,13,22,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
540,540_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,91.000000000000000000000000000000,3991,26,3908,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
541,541_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,91.000000000000000000000000000000,1371,0,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.717099642220522914826119631471,40
542,542_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,68.000000000000000000000000000000,2013,0,3135,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.148663530504801078002685699175,37
543,543_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,164.000000000000000000000000000000,1673,1,3261,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,29
544,544_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.190000000000000002220446049250,114.000000000000000000000000000000,3281,0,3827,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,4
545,545_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,69.000000000000000000000000000000,2417,0,4225,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,59
546,546_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,87.000000000000000000000000000000,2676,0,2843,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,51
547,547_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.190000000000000002220446049250,120.000000000000000000000000000000,652,0,1989,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.825841743364822744588593650406,1
548,548_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,81.000000000000000000000000000000,1773,0,4240,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.220576367599280009912376954162,66
549,549_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,186.000000000000000000000000000000,4133,13,3297,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
550,550_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,177.000000000000000000000000000000,2845,9,3992,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.602857726374297797633516893256,68
551,551_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,165.000000000000000000000000000000,3140,9,4568,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.717486311747869032195978888922,22
552,552_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,156.000000000000000000000000000000,1782,9,1065,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.488831280518502997445295932266,33
553,553_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,219.000000000000000000000000000000,534,10,4411,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.185741587113869427438928028096,5
554,554_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,214.000000000000000000000000000000,2872,9,1404,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.370549654942778472488384977623,6
555,555_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,441.000000000000000000000000000000,2258,14,306,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,75
556,556_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,98.000000000000000000000000000000,1185,26,4838,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.309953386345477532870518189156,55
557,557_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,252.000000000000000000000000000000,3998,3,1145,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.967154767343453736216929428338,1
558,558_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,167.000000000000000000000000000000,2136,3,4824,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.879650704582749742854730357067,11
559,559_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,254.000000000000000000000000000000,2128,3,3807,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,3
560,560_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,241.000000000000000000000000000000,2917,3,4933,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.791260561452230448686862018803,51
561,561_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,226.000000000000000000000000000000,3715,3,2005,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,94
562,562_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,195.000000000000000000000000000000,3880,1,1886,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.078111465976871505279000018618,38
563,563_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,224.000000000000000000000000000000,4906,4,2661,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,71
564,564_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,168.000000000000000000000000000000,1429,1,2387,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.110560529058305989646981970509,11
565,565_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,162.000000000000000000000000000000,4576,13,4808,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.132983414247202669233871574761,100
566,566_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,186.000000000000000000000000000000,1070,23,2464,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
567,567_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.110000000000000000555111512313,225.000000000000000000000000000000,944,12,1771,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,97
568,568_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,265.000000000000000000000000000000,2437,1,891,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.416139352446921240158417276689,1
569,569_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,190.000000000000000000000000000000,1596,8,2412,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.091596232811466754553109126391,20
570,570_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,196.000000000000000000000000000000,2697,3,4878,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.210644225435231785548140237552,30
571,571_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,254.000000000000000000000000000000,31,10,1627,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
572,572_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,177.000000000000000000000000000000,1424,10,66,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,24
573,573_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,267.000000000000000000000000000000,3164,3,472,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
574,574_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,233.000000000000000000000000000000,2580,1,11,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
575,575_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,184.000000000000000000000000000000,1981,4,3166,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.596311180456925438164716979372,8
576,576_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,409.000000000000000000000000000000,3434,4,1916,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
577,577_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,93.000000000000000000000000000000,2085,26,2614,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.434617225906764548248872870317,40
578,578_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,190.000000000000000000000000000000,3624,3,2407,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.661987249397187116350949054322,11
579,579_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,160.000000000000000000000000000000,1118,3,3725,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.925596278962297125403324571380,28
580,580_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,203.000000000000000000000000000000,366,13,2518,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
581,581_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,161.000000000000000000000000000000,4306,4,3445,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.687847572331456658112358582002,8
582,582_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,187.000000000000000000000000000000,392,4,4118,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.661445999310827037476201439858,88
583,583_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,185.000000000000000000000000000000,744,10,3303,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,93
584,584_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,215.000000000000000000000000000000,1049,4,3949,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,95
585,585_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,166.000000000000000000000000000000,959,3,2412,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.562191150521410776264019659720,14
586,586_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,178.000000000000000000000000000000,993,4,1583,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
587,587_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,216.000000000000000000000000000000,2268,10,3599,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.629348347881100833589584908623,5
588,588_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,186.000000000000000000000000000000,903,4,126,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.361310682904876223631163156824,29
589,589_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.190000000000000002220446049250,125.000000000000000000000000000000,1268,0,540,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.493023419375217153426405047867,1
590,590_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,99.000000000000000000000000000000,1603,26,3445,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.811164325444315270630113445804,86
591,591_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,205.000000000000000000000000000000,1503,2,3776,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.719742846189020735181429699878,4
592,592_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,313.000000000000000000000000000000,4382,4,3855,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,2
593,593_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,178.000000000000000000000000000000,338,9,3906,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,2
594,594_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,143.000000000000000000000000000000,3056,1,432,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,18
595,595_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,126.000000000000000000000000000000,172,26,104,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.186504816423330749275422135725,100
596,596_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,265.000000000000000000000000000000,1491,10,565,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
597,597_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1558,4,16,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
598,598_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,187.000000000000000000000000000000,1918,4,413,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
599,599_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,176.000000000000000000000000000000,3625,23,4685,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,44
600,600_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,179.000000000000000000000000000000,4855,13,1620,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,18
601,601_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,169.000000000000000000000000000000,837,9,2439,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
602,602_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,170.000000000000000000000000000000,578,15,649,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.316807390975408664779422451829,100
603,603_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.110000000000000000555111512313,174.000000000000000000000000000000,2873,14,2193,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
604,604_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,241.000000000000000000000000000000,4079,14,2107,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.575880499291233971526082768833,65
605,605_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.190000000000000002220446049250,318.000000000000000000000000000000,4113,9,2288,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,93
606,606_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,130.000000000000000000000000000000,2027,26,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,64
607,607_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,213.000000000000000000000000000000,1023,3,3844,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.511083727763648520969752553356,98
608,608_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,244.000000000000000000000000000000,1091,18,439,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,48
609,609_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,80.000000000000000000000000000000,755,0,1002,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
610,610_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,213.000000000000000000000000000000,3759,21,4,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
611,611_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,228.000000000000000000000000000000,1227,24,1103,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
612,612_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,165.000000000000000000000000000000,114,13,2383,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,10
613,613_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,218.000000000000000000000000000000,1336,9,3434,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
614,614_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,172.000000000000000000000000000000,1876,4,4759,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
615,615_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,92.000000000000000000000000000000,1113,26,1293,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
616,616_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,154.000000000000000000000000000000,1180,9,4975,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.516859362162971569532032845018,76
617,617_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,171.000000000000000000000000000000,3462,4,3234,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,85
618,618_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,372.000000000000000000000000000000,2979,3,3868,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
619,619_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,99.000000000000000000000000000000,2136,26,2961,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,46
620,620_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,120.000000000000000000000000000000,481,26,773,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.600504075809651260975385866914,54
621,621_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,157.000000000000000000000000000000,1581,26,1436,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.884343463632147108732795004471,1
622,622_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,89.000000000000000000000000000000,3403,26,696,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.305412445363125506503365613753,51
623,623_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,182.000000000000000000000000000000,6,9,4824,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.399952759612953012702263322353,10
624,624_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,160.000000000000000000000000000000,1665,26,608,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
625,625_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,177.000000000000000000000000000000,88,9,3468,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,97
626,626_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,179.000000000000000000000000000000,132,13,3313,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,39
627,627_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,159.000000000000000000000000000000,430,10,969,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,84
628,628_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,173.000000000000000000000000000000,2548,10,2812,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,35
629,629_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,191.000000000000000000000000000000,3194,9,203,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
630,630_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,163.000000000000000000000000000000,847,9,4720,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,87
631,631_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,179.000000000000000000000000000000,2197,4,1649,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,26
632,632_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,197.000000000000000000000000000000,2369,4,1922,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.572736787730865670731361660728,52
633,633_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,124.000000000000000000000000000000,4573,0,1740,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.291565628530829679121438857692,1
634,634_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,273.000000000000000000000000000000,3077,6,91,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
635,635_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,104.000000000000000000000000000000,293,26,665,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,41
636,636_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,107.000000000000000000000000000000,3751,26,2708,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
637,637_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,161.000000000000000000000000000000,398,26,1406,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.803313478662733615465185721405,100
638,638_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,158.000000000000000000000000000000,471,3,2440,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,95
639,639_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,76.000000000000000000000000000000,4647,0,2257,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
640,640_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,180.000000000000000000000000000000,156,13,507,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,49
641,641_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,115.000000000000000000000000000000,1,26,2197,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.079165398557313526595180519507,1
642,642_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,355.000000000000000000000000000000,3127,13,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
643,643_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,107.000000000000000000000000000000,4035,26,760,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.623385910291455624943068869470,1
644,644_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,229.000000000000000000000000000000,55,9,1339,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
645,645_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,147.000000000000000000000000000000,1,0,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
646,646_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,81.000000000000000000000000000000,359,0,4995,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
647,647_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,101.000000000000000000000000000000,2894,26,1671,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.769745871399737935369955721399,28
648,648_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,109.000000000000000000000000000000,1,0,85,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.108262487437304835702356342608,1
649,649_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.190000000000000002220446049250,215.000000000000000000000000000000,2933,9,4723,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
650,650_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1362,26,14,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.860127949215450438025243329321,100
651,651_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,157.000000000000000000000000000000,4335,26,2131,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.448807335536734852698970144047,4
652,652_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,219.000000000000000000000000000000,134,1,2021,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.307731610158176682734421092391,65
653,653_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,174.000000000000000000000000000000,3459,3,4348,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,12
654,654_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,239.000000000000000000000000000000,2150,3,1541,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.734215813365501235310262018174,62
655,655_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,310.000000000000000000000000000000,1150,9,1244,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
656,656_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,149.000000000000000000000000000000,4984,3,747,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,32
657,657_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,196.000000000000000000000000000000,2780,13,687,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.556501358284752223326563580486,9
658,658_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,223.000000000000000000000000000000,622,13,351,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,82
659,659_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,80.000000000000000000000000000000,2910,26,4117,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,33
660,660_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.110000000000000000555111512313,185.000000000000000000000000000000,235,4,201,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,53
661,661_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,111.000000000000000000000000000000,747,0,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
662,662_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.190000000000000002220446049250,229.000000000000000000000000000000,659,9,4993,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
663,663_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,117.000000000000000000000000000000,1,26,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
664,664_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,200.000000000000000000000000000000,4824,3,2930,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.554349502278640771102402595716,6
665,665_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,123.000000000000000000000000000000,2053,26,3404,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
666,666_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,1062.000000000000000000000000000000,1372,26,116,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.610880868477923555381892128935,100
667,667_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,150.000000000000000000000000000000,4969,9,4974,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.279379437782766915088217274388,2
668,668_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,197.000000000000000000000000000000,2451,3,29,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
669,669_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,264.000000000000000000000000000000,1151,26,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
670,670_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,106.000000000000000000000000000000,1,26,715,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,4
671,671_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,174.000000000000000000000000000000,855,1,4972,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,11
672,672_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,202.000000000000000000000000000000,2008,4,70,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
673,673_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,159.000000000000000000000000000000,421,3,4968,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,81
674,674_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,143.000000000000000000000000000000,3893,26,3744,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
675,675_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,307.000000000000000000000000000000,3759,4,425,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,94
676,676_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,120.000000000000000000000000000000,4803,26,1520,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,89
677,677_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,219.000000000000000000000000000000,154,4,4190,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
678,678_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,135.000000000000000000000000000000,276,3,3328,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.016571876435902976182346080236,65
679,679_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,80.000000000000000000000000000000,1249,0,777,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.176690555110950636708011529663,50
680,680_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,261.000000000000000000000000000000,4359,1,4892,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.103950218180784231813973406133,83
681,681_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,81.000000000000000000000000000000,901,0,1491,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
682,682_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,186.000000000000000000000000000000,3874,3,269,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,42
683,683_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.190000000000000002220446049250,185.000000000000000000000000000000,4427,9,353,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,84
684,684_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,406.000000000000000000000000000000,944,13,1331,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
685,685_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,149.000000000000000000000000000000,193,3,2748,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,27
686,686_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,202.000000000000000000000000000000,184,13,2165,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
687,687_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.190000000000000002220446049250,295.000000000000000000000000000000,3874,9,862,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,89
688,688_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,111.000000000000000000000000000000,2575,26,855,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.272963630138400081825977849803,41
689,689_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,173.000000000000000000000000000000,2187,9,1227,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.135296452261730204558176637875,66
690,690_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,211.000000000000000000000000000000,1034,13,2096,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,37
691,691_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,80.000000000000000000000000000000,489,26,1313,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
692,692_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,73.000000000000000000000000000000,4201,0,3975,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
693,693_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,94.000000000000000000000000000000,3743,0,3128,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
694,694_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,189.000000000000000000000000000000,129,9,4886,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,98
695,695_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,110.000000000000000000000000000000,1896,26,1392,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
696,696_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,111.000000000000000000000000000000,293,26,1740,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.744765083878294653629836830078,43
697,697_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,221.000000000000000000000000000000,2529,13,922,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,15
698,698_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,409.000000000000000000000000000000,1053,9,167,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.492443372621710895309377065132,70
699,699_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.190000000000000002220446049250,355.000000000000000000000000000000,693,9,608,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.050791437798220845367680453819,87
700,700_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,205.000000000000000000000000000000,4125,26,454,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,74
701,701_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.190000000000000002220446049250,82.000000000000000000000000000000,1311,0,1385,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,2
702,702_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,129.000000000000000000000000000000,1508,26,600,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
703,703_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,99.000000000000000000000000000000,2204,0,1043,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,63
704,704_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,185.000000000000000000000000000000,2505,9,3340,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,11
705,705_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,221.000000000000000000000000000000,3386,26,199,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.836334383404537251571753131429,69
706,706_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,110.000000000000000000000000000000,1333,26,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
707,707_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,90.000000000000000000000000000000,1238,26,2336,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.632477907090243429699683019862,44
708,708_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,166.000000000000000000000000000000,3473,26,4558,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.362361658309042211634221075656,1
709,709_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,144.000000000000000000000000000000,2922,26,3810,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.289516167116898093247812084883,1
710,710_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,142.000000000000000000000000000000,3107,26,4839,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.566586338244708498379509364895,54
711,711_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,256.000000000000000000000000000000,1257,9,857,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,3
712,712_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,162.000000000000000000000000000000,1723,26,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
713,713_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,149.000000000000000000000000000000,2842,26,985,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
714,714_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,63.000000000000000000000000000000,3510,0,4246,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,53
715,715_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,98.000000000000000000000000000000,4555,0,2997,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
716,716_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,103.000000000000000000000000000000,1083,26,1090,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.425596979832123856191117283743,56
717,717_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,143.000000000000000000000000000000,2903,0,844,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,70
718,718_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,143.000000000000000000000000000000,1308,0,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
719,719_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,182.000000000000000000000000000000,4626,9,2498,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
720,720_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,159.000000000000000000000000000000,2988,26,3559,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.310167662817952216602890302966,1
721,721_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,93.000000000000000000000000000000,2325,26,1417,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.604614878798830357453653050470,1
722,722_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,113.000000000000000000000000000000,1970,0,4757,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.939964743146938341844531805691,1
723,723_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,389.000000000000000000000000000000,2013,4,790,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.923456900002687208761642523314,94
724,724_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,155.000000000000000000000000000000,462,3,4885,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.476074794412834123580324785507,1
725,725_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,102.000000000000000000000000000000,3864,26,3309,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,46
726,726_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,242.000000000000000000000000000000,2551,13,2660,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
727,727_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,221.000000000000000000000000000000,959,9,2583,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
728,728_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,201.000000000000000000000000000000,3695,9,2972,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
729,729_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,160.000000000000000000000000000000,3931,13,2662,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
730,730_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,119.000000000000000000000000000000,1988,26,1739,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.915875779903421172178923370666,57
731,731_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,153.000000000000000000000000000000,521,9,4877,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.196970158743825646263658768476,51
732,732_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,120.000000000000000000000000000000,118,26,2749,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,79
733,733_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,269.000000000000000000000000000000,226,13,1065,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,85
734,734_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,123.000000000000000000000000000000,1408,0,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
735,735_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,327.000000000000000000000000000000,2770,13,2293,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
736,736_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,96.000000000000000000000000000000,3836,26,2060,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
737,737_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,202.000000000000000000000000000000,4995,13,582,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
738,738_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,186.000000000000000000000000000000,578,26,4303,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.048559562865354587157806776077,1
739,739_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.190000000000000002220446049250,201.000000000000000000000000000000,1013,13,579,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.485398126275690788844485723530,7
740,740_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,120.000000000000000000000000000000,405,26,1264,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.505904320259992879016408551252,1
741,741_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,210.000000000000000000000000000000,2991,13,3107,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.085532911205254927300423162251,1
742,742_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,99.000000000000000000000000000000,2961,26,1863,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.484623788063728744290870054101,100
743,743_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,147.000000000000000000000000000000,3617,26,2727,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.282221803608306121002868849246,1
744,744_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,102.000000000000000000000000000000,4866,26,2225,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.246787618459867047482347857112,46
745,745_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,96.000000000000000000000000000000,2466,0,1454,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.503824332253949735971332302142,1
746,746_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,148.000000000000000000000000000000,5000,26,892,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
747,747_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,162.000000000000000000000000000000,5000,26,2349,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
748,748_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.190000000000000002220446049250,245.000000000000000000000000000000,2670,13,2624,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.047470053842390211307211700387,1
749,749_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,185.000000000000000000000000000000,1170,1,3674,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,4
750,750_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,113.000000000000000000000000000000,4751,26,2468,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.903488547303151312561908525822,100
751,751_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,150.000000000000000000000000000000,4323,26,3481,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.794626471005053347518298778596,100
752,752_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,104.000000000000000000000000000000,798,26,1046,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.560508250263898832876918731927,19
753,753_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,109.000000000000000000000000000000,3395,26,327,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
754,754_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,344.000000000000000000000000000000,3148,9,3224,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
755,755_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,124.000000000000000000000000000000,5000,26,4412,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
756,756_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,120.000000000000000000000000000000,3599,26,398,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.478639974727735673099004998221,1
757,757_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,119.000000000000000000000000000000,3453,26,4194,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
758,758_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,162.000000000000000000000000000000,2066,26,2827,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
759,759_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,128.000000000000000000000000000000,5000,26,4078,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
760,760_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,255.000000000000000000000000000000,597,13,1248,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
761,761_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,121.000000000000000000000000000000,5000,26,399,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
762,762_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,144.000000000000000000000000000000,4559,26,481,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.657501308437271503315457721328,1
763,763_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,166.000000000000000000000000000000,2559,1,3273,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,15
764,764_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,116.000000000000000000000000000000,4323,26,1212,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.565371632031289927944328610465,37
765,765_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,106.000000000000000000000000000000,3742,26,228,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,12
766,766_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,87.000000000000000000000000000000,4592,26,2951,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.601665829016221342939729765931,62
767,767_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,97.000000000000000000000000000000,2554,26,2853,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.297300135858383107745339657413,13
768,768_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,119.000000000000000000000000000000,300,26,2959,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,31
769,769_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,129.000000000000000000000000000000,1341,26,1549,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.680476301596802501947536256921,31
770,770_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.190000000000000002220446049250,356.000000000000000000000000000000,392,13,1432,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.380087387393680864455802748125,100
771,771_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,445.000000000000000000000000000000,1684,13,1521,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
772,772_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,89.000000000000000000000000000000,426,26,2439,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,22
773,773_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,115.000000000000000000000000000000,5000,26,1325,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
774,774_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,168.000000000000000000000000000000,3952,3,1553,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
775,775_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.190000000000000002220446049250,292.000000000000000000000000000000,3292,9,4420,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
776,776_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,172.000000000000000000000000000000,1148,26,328,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,55
777,777_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,199.000000000000000000000000000000,2609,9,2719,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,41
778,778_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,286.000000000000000000000000000000,119,13,4769,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
779,779_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,94.000000000000000000000000000000,1591,26,177,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,11
780,780_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,289.000000000000000000000000000000,2898,9,186,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
781,781_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,127.000000000000000000000000000000,4220,26,462,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.697175617771133571132224915345,46
782,782_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,91.000000000000000000000000000000,1297,26,500,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.810309040193216700842526734050,14
783,783_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,100.000000000000000000000000000000,3066,0,168,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,40
784,784_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,218.000000000000000000000000000000,792,13,3816,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.059243234374990544344186105263,1
785,785_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,117.000000000000000000000000000000,2417,26,1642,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.596743525203889291219638835173,19
786,786_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,101.000000000000000000000000000000,1075,26,487,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.946708227264840607162454944046,18
787,787_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,76.000000000000000000000000000000,503,0,929,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.527923234419541143047638342978,84
788,788_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,108.000000000000000000000000000000,4362,26,3302,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,25
789,789_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,119.000000000000000000000000000000,5000,26,2942,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
790,790_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,103.000000000000000000000000000000,3929,26,637,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.881953422319508018034639462712,20
791,791_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,121.000000000000000000000000000000,4504,26,667,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.661141351349237349488419113186,91
792,792_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,102.000000000000000000000000000000,2963,26,2693,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,13
793,793_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,325.000000000000000000000000000000,4274,14,1118,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
794,794_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,103.000000000000000000000000000000,3644,26,4750,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.597982318337827445375864954258,37
795,795_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,201.000000000000000000000000000000,4870,26,1329,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.357795592450169896991951645759,1
796,796_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,288.000000000000000000000000000000,123,26,883,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.643208076657705851708612954098,100
797,797_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,197.000000000000000000000000000000,4737,26,2812,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.340275625771540357611399940652,1
798,798_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,374.000000000000000000000000000000,4659,4,1338,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
799,799_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,275.000000000000000000000000000000,4595,9,1539,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,89
800,800_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,159.000000000000000000000000000000,4178,3,4028,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,55
801,801_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,310.000000000000000000000000000000,375,9,2617,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.309573062526529385607432232064,1
802,802_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,157.000000000000000000000000000000,4984,3,4146,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.776680147777610740966736102564,24
803,803_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,110.000000000000000000000000000000,5000,0,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.888744095436803660525981740648,100
804,804_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,134.000000000000000000000000000000,1874,0,2281,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
805,805_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,71.000000000000000000000000000000,1813,0,3514,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,75
806,806_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,226.000000000000000000000000000000,3305,1,3449,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.116144250299346066257477616546,80
807,807_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,176.000000000000000000000000000000,1737,3,2336,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
808,808_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,151.000000000000000000000000000000,1690,1,1415,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.995626730520699720905497542844,100
809,809_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,222.000000000000000000000000000000,173,10,3131,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
810,810_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,393.000000000000000000000000000000,126,4,4930,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
811,811_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,150.000000000000000000000000000000,1382,1,1400,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,29
812,812_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,151.000000000000000000000000000000,4445,13,3451,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,43
813,813_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,146.000000000000000000000000000000,4592,13,4970,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,15
814,814_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,286.000000000000000000000000000000,547,13,3957,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.782928043518500649255997814180,1
815,815_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.110000000000000000555111512313,555.000000000000000000000000000000,4352,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.768644270879900837201148533495,21
816,816_0,FAILED,BoTorch,BOTORCH_MODULAR,,,236,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
817,817_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,259.000000000000000000000000000000,4936,1,3981,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,71
818,818_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,174.000000000000000000000000000000,1214,9,1289,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
819,819_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,115.000000000000000000000000000000,2186,0,850,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,11
820,820_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,101.000000000000000000000000000000,4392,26,3582,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.250915675048739128527586217388,55
821,821_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,70.000000000000000000000000000000,2387,0,3504,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.439986614983983170823478303646,23
822,822_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,162.000000000000000000000000000000,3165,10,2277,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,2
823,823_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,177.000000000000000000000000000000,615,3,2548,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.217671676754265880360250662306,92
824,824_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,234.000000000000000000000000000000,572,3,2866,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,22
825,825_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,98.000000000000000000000000000000,5000,0,3149,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
826,826_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,98.000000000000000000000000000000,891,26,1429,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.529618988450858085847983147687,14
827,827_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,288.000000000000000000000000000000,321,12,3889,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,2
828,828_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,196.000000000000000000000000000000,593,9,2004,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
829,829_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,156.000000000000000000000000000000,1,26,1251,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
830,830_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4773,0,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,4
831,831_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,176.000000000000000000000000000000,702,3,1515,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,91
832,832_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,217.000000000000000000000000000000,1353,4,4922,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,5
833,833_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,26,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
834,834_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,114.000000000000000000000000000000,4182,26,870,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,17
835,835_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,181.000000000000000000000000000000,347,13,2869,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
836,836_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,215.000000000000000000000000000000,1281,3,2118,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
837,837_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,114.000000000000000000000000000000,4290,26,1341,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.725301807620306271395804742497,19
838,833_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,26,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
839,839_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,98.000000000000000000000000000000,4537,0,1573,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.943991391963979520340899398434,49
840,840_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,188.000000000000000000000000000000,4948,9,3326,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,63
841,841_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.110000000000000000555111512313,166.000000000000000000000000000000,1063,13,4880,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.330651334166995436447678002878,1
842,842_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,111.000000000000000000000000000000,4007,26,2958,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,13
843,843_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,177.000000000000000000000000000000,1,26,993,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
844,833_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,26,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
845,845_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,137.000000000000000000000000000000,1,26,2555,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
846,833_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,26,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
847,847_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,225.000000000000000000000000000000,4904,1,1133,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
848,848_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,222.000000000000000000000000000000,1877,3,3684,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
849,849_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,83.000000000000000000000000000000,1,26,4514,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
850,850_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,195.000000000000000000000000000000,4896,9,1929,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,7
851,851_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,111.000000000000000000000000000000,3657,26,1455,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.657973566322824443552974571503,68
852,852_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,83.000000000000000000000000000000,1,0,1453,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
853,853_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,215.000000000000000000000000000000,343,13,3931,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,82
854,854_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,166.000000000000000000000000000000,1374,26,1320,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.626664434421899452232196381374,1
855,855_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,179.000000000000000000000000000000,436,4,2679,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
856,856_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,182.000000000000000000000000000000,2304,10,3736,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
857,857_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,212.000000000000000000000000000000,1,13,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
858,858_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,188.000000000000000000000000000000,133,4,3171,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,83
859,859_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,0,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,35
860,860_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,98.000000000000000000000000000000,214,26,3228,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.510907034201627308078741407371,61
861,861_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,277.000000000000000000000000000000,239,13,4569,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
862,862_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,0,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,26
863,863_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,26,1768,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
</pre>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; as file</button>
			<script>
				createTable(tab_results_csv_json, tab_results_headers_json, 'tab_results_csv_table');</script>
			
			<h1>&nbsp;Errors</h1>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download &raquo;oo_errors.txt&laquo; as file</button>
<pre id='simple_pre_tab_tab_errors'><span style="background-color: black; color: white">
⚠ Job 4653729 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4653729/4653729_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4653729/4653729_0_log.out
----------------------------------------
submitit INFO (2025-04-23 22:12:03,231) - Starting with JobEnvironment(job_id=4653729, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-23 22:12:03,253) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4653729/4653729_submitted.pkl
slurmstepd: error: *** JOB 4653729 ON i7180 CANCELLED AT 2025-04-24T00:12:06 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4653729/4653729_0_log.err not found


⚠ Job 4675801 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4675801/4675801_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4675801/4675801_0_log.out
----------------------------------------
submitit INFO (2025-04-24 07:00:13,045) - Starting with JobEnvironment(job_id=4675801, hostname=i7176, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-24 07:00:13,047) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4675801/4675801_submitted.pkl
slurmstepd: error: *** JOB 4675801 ON i7176 CANCELLED AT 2025-04-24T09:00:17 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4675801/4675801_0_log.err not found


⚠ Job 4738698 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4738698/4738698_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4738698/4738698_0_log.out
----------------------------------------
submitit INFO (2025-04-25 20:33:07,232) - Starting with JobEnvironment(job_id=4738698, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-25 20:33:07,243) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4738698/4738698_submitted.pkl
slurmstepd: error: *** JOB 4738698 ON i7185 CANCELLED AT 2025-04-25T22:33:12 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4738698/4738698_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4747454/4747454_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4748586/4748586_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4751135/4751135_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4754006/4754006_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4754818/4754818_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4761757/4761757_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4763536/4763536_0_log.err not found

</span></pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download &raquo;oo_errors.txt&laquo; as file</button>
			
			<h1>&nbsp;Args Overview</h1>
			<h2>Arguments Overview:                                                                                   </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Key</th><th>Value                                                                                                                                     </th></tr></thead><tbody><tr><td> config_yaml</td><td>None                                                                                                                                      </td></tr><tr><td> config_toml</td><td>None                                                                                                                                      </td></tr><tr><td> config_json</td><td>None                                                                                                                                      </td></tr><tr><td> num_random_steps</td><td>20                                                                                                                                        </td></tr><tr><td> max_eval</td><td>50000                                                                                                                                     </td></tr><tr><td> run_program</td><td>None                                                                                                                                      </td></tr><tr><td> experiment_name</td><td>None                                                                                                                                      </td></tr><tr><td> mem_gb</td><td>1                                                                                                                                         </td></tr><tr><td> parameter</td><td>None                                                                                                                                      </td></tr><tr><td> continue_previous_job</td><td>/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/ </td></tr><tr><td> experiment_constraints</td><td>None                                                                                                                                      </td></tr><tr><td> run_dir</td><td>runs                                                                                                                                      </td></tr><tr><td> seed</td><td>None                                                                                                                                      </td></tr><tr><td> decimalrounding</td><td>4                                                                                                                                         </td></tr><tr><td> enforce_sequential_optimization</td><td>False                                                                                                                                     </td></tr><tr><td> verbose_tqdm</td><td>False                                                                                                                                     </td></tr><tr><td> model</td><td>None                                                                                                                                      </td></tr><tr><td> gridsearch</td><td>False                                                                                                                                     </td></tr><tr><td> occ</td><td>False                                                                                                                                     </td></tr><tr><td> show_sixel_scatter</td><td>False                                                                                                                                     </td></tr><tr><td> show_sixel_general</td><td>False                                                                                                                                     </td></tr><tr><td> show_sixel_trial_index_result</td><td>False                                                                                                                                     </td></tr><tr><td> follow</td><td>False                                                                                                                                     </td></tr><tr><td> send_anonymized_usage_stats</td><td>False                                                                                                                                     </td></tr><tr><td> ui_url</td><td>None                                                                                                                                      </td></tr><tr><td> root_venv_dir</td><td>/home/s4122485                                                                                                                            </td></tr><tr><td> exclude</td><td>None                                                                                                                                      </td></tr><tr><td> main_process_gb</td><td>8                                                                                                                                         </td></tr><tr><td> pareto_front_confidence</td><td>1                                                                                                                                         </td></tr><tr><td> max_nr_of_zero_results</td><td>10                                                                                                                                        </td></tr><tr><td> abbreviate_job_names</td><td>False                                                                                                                                     </td></tr><tr><td> orchestrator_file</td><td>None                                                                                                                                      </td></tr><tr><td> checkout_to_latest_tested_version</td><td>False                                                                                                                                     </td></tr><tr><td> live_share</td><td>False                                                                                                                                     </td></tr><tr><td> disable_tqdm</td><td>False                                                                                                                                     </td></tr><tr><td> workdir</td><td>False                                                                                                                                     </td></tr><tr><td> occ_type</td><td>euclid                                                                                                                                    </td></tr><tr><td> result_names</td><td>[&#039;RESULT=min&#039;]                                                                                                                            </td></tr><tr><td> minkowski_p</td><td>2                                                                                                                                         </td></tr><tr><td> signed_weighted_euclidean_weights</td><td></td></tr><tr><td> generation_strategy</td><td>None                                                                                                                                      </td></tr><tr><td> generate_all_jobs_at_once</td><td>False                                                                                                                                     </td></tr><tr><td> revert_to_random_when_seemingly_exhausted</td><td>True                                                                                                                                      </td></tr><tr><td> load_data_from_existing_jobs</td><td>[]                                                                                                                                        </td></tr><tr><td> n_estimators_randomforest</td><td>100                                                                                                                                       </td></tr><tr><td> external_generator</td><td>None                                                                                                                                      </td></tr><tr><td> username</td><td>None                                                                                                                                      </td></tr><tr><td> max_failed_jobs</td><td>None                                                                                                                                      </td></tr><tr><td> num_parallel_jobs</td><td>20                                                                                                                                        </td></tr><tr><td> worker_timeout</td><td>120                                                                                                                                       </td></tr><tr><td> slurm_use_srun</td><td>False                                                                                                                                     </td></tr><tr><td> time</td><td></td></tr><tr><td> partition</td><td></td></tr><tr><td> reservation</td><td>None                                                                                                                                      </td></tr><tr><td> force_local_execution</td><td>False                                                                                                                                     </td></tr><tr><td> slurm_signal_delay_s</td><td>0                                                                                                                                         </td></tr><tr><td> nodes_per_job</td><td>1                                                                                                                                         </td></tr><tr><td> cpus_per_task</td><td>1                                                                                                                                         </td></tr><tr><td> account</td><td>None                                                                                                                                      </td></tr><tr><td> gpus</td><td>0                                                                                                                                         </td></tr><tr><td> run_mode</td><td>local                                                                                                                                     </td></tr><tr><td> verbose</td><td>False                                                                                                                                     </td></tr><tr><td> verbose_break_run_search_table</td><td>False                                                                                                                                     </td></tr><tr><td> debug</td><td>False                                                                                                                                     </td></tr><tr><td> no_sleep</td><td>False                                                                                                                                     </td></tr><tr><td> tests</td><td>False                                                                                                                                     </td></tr><tr><td> show_worker_percentage_table_at_end</td><td>False                                                                                                                                     </td></tr><tr><td> auto_exclude_defective_hosts</td><td>False                                                                                                                                     </td></tr><tr><td> run_tests_that_fail_on_taurus</td><td>False                                                                                                                                     </td></tr><tr><td> raise_in_eval</td><td>False                                                                                                                                     </td></tr><tr><td> show_ram_every_n_seconds</td><td>False                                                                                                                                     </td></tr></tbody></table>
			<h1>&nbsp;Worker-Usage</h1>
			<div class='invert_in_dark_mode' id='workerUsagePlot'></div><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'> Download &raquo;worker_usage.csv&laquo; as file</button>
<pre id="pre_tab_worker_usage">1745406346.2269118,20,0,0
1745406357.199311,20,0,0
1745406358.0409486,20,0,0
1745406358.2411292,20,0,0
1745406360.317356,20,1,5
1745406365.8561192,20,1,5
1745406366.7175705,20,1,5
1745406366.9041798,20,1,5
1745406368.28439,20,2,10
1745406376.8142488,20,2,10
1745406377.6479945,20,2,10
1745406377.8342755,20,2,10
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1745406451.4362094,20,7,35
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</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'> Download &raquo;worker_usage.csv&laquo; as file</button>
			
			<h1>&nbsp;CPU/RAM-Usage (main)</h1>
			<div class='invert_in_dark_mode' id='mainWorkerCPURAM'></div><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'> Download &raquo;cpu_ram_usage.csv&laquo; as file</button>
<pre id="pre_tab_main_worker_cpu_ram">timestamp,ram_usage_mb,cpu_usage_percent
1745406346,639.33203125,33.2
1745406346,639.33203125,27.1
1745406346,639.45703125,30.3
1745406346,639.45703125,25.6
1745406346,639.45703125,41.9
1745406346,639.45703125,36.7
1745406346,639.45703125,27.6
1745406966,701.08984375,35.2
1745406966,701.08984375,47.7
1745406966,701.26953125,35.5
1745406966,701.26953125,33.3
1745415604,972.9296875,29.7
1745415604,972.9296875,29.7
1745415604,972.9296875,29.2
1745415604,972.9296875,39.0
1745425021,957.11328125,20.4
1745425021,957.11328125,16.0
1745425021,957.11328125,15.1
1745425021,957.11328125,19.6
1745434844,978.1875,13.3
1745434844,978.1875,14.7
1745434844,978.1875,14.3
1745434844,978.1875,14.3
1745445545,974.78515625,16.0
1745445545,974.78515625,18.0
1745445546,974.78515625,20.2
1745445546,974.78515625,25.7
1745457558,1056.625,14.4
1745457558,1056.625,13.5
1745457558,1056.625,13.4
1745457558,1056.625,21.1
1745469788,1073.453125,16.2
1745469788,1073.453125,17.3
1745469788,1073.453125,17.1
1745469788,1073.453125,18.9
1745481826,1101.60546875,15.7
1745481826,1101.60546875,24.5
1745481826,1101.60546875,24.3
1745481826,1101.60546875,22.9
1745494929,1100.61328125,17.4
1745494930,1100.61328125,12.4
1745494930,1100.61328125,11.6
1745494930,1100.61328125,13.5
1745509465,1114.1875,16.1
1745509465,1114.1875,21.1
1745509465,1114.1875,21.1
1745509465,1114.1875,24.0
1745523938,1179.34765625,15.4
1745523938,1179.34765625,17.7
1745523938,1179.34765625,17.6
1745523938,1179.34765625,17.1
1745538026,1157.0546875,12.9
1745538026,1157.0546875,15.5
1745538027,1157.0546875,13.6
1745538027,1157.0546875,7.3
1745552061,1211.64453125,15.6
1745552061,1211.64453125,18.1
1745552061,1211.64453125,18.6
1745552061,1211.64453125,15.1
1745572909,1217.4765625,26.4
1745572909,1217.4765625,19.0
1745572909,1217.4765625,19.6
1745572909,1217.4765625,25.0
1745596224,1254.87109375,22.1
1745596224,1254.87109375,30.3
1745596224,1254.87109375,29.4
1745596224,1254.87109375,32.1
1745623316,1287.8984375,22.0
1745623316,1287.8984375,19.0
1745623316,1287.8984375,19.3
1745623316,1287.8984375,17.6
1745647035,1323.046875,25.7
1745647035,1323.046875,25.4
1745647035,1323.046875,26.6
1745647035,1323.046875,32.6
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'> Download &raquo;cpu_ram_usage.csv&laquo; as file</button>
			
			<h1>&nbsp;Parallel Plot</h1>
			<div class="invert_in_dark_mode" id="parallel-plot"></div>
			<h1>&nbsp;Scatter-2D</h1>
			<div class='invert_in_dark_mode' id='plotScatter2d'></div>
			<h1>&nbsp;Scatter-3D</h1>
			<div class='invert_in_dark_mode' id='plotScatter3d'></div>
			<h1>&nbsp;Job Status Distribution</h1>
			<div class="invert_in_dark_mode" id="plotJobStatusDistribution"></div>
			<h1>&nbsp;Boxplots</h1>
			<div class="invert_in_dark_mode" id="plotBoxplot"></div>
			<h1>&nbsp;Violin</h1>
			<div class="invert_in_dark_mode" id="plotViolin"></div>
			<h1>&nbsp;Histogram</h1>
			<div class="invert_in_dark_mode" id="plotHistogram"></div>
			<h1>&nbsp;Heatmap</h1>
			<div class="invert_in_dark_mode" id="plotHeatmap"></div><br>
			    <h1>Correlation Heatmap Explanation</h1>
			
			    <p>
			        This is a heatmap that visualizes the correlation between numerical columns in a dataset. The values represented in the heatmap show the strength and direction of relationships between different variables.
			    </p>
			
			    <h2>How It Works</h2>
			    <p>
			        The heatmap uses a matrix to represent correlations between each pair of numerical columns. The calculation behind this is based on the concept of "correlation," which measures how strongly two variables are related. A correlation can be positive, negative, or zero:
			    </p>
			    <ul>
			        <li><strong>Positive correlation</strong>: Both variables increase or decrease together (e.g., if the temperature rises, ice cream sales increase).</li>
			        <li><strong>Negative correlation</strong>: As one variable increases, the other decreases (e.g., as the price of a product rises, the demand for it decreases).</li>
			        <li><strong>Zero correlation</strong>: There is no relationship between the two variables (e.g., height and shoe size might show zero correlation in some contexts).</li>
			    </ul>
			
			    <h2>Color Scale: Yellow to Purple (Viridis)</h2>
			    <p>
			        The heatmap uses a color scale called "Viridis," which ranges from yellow to purple. Here's what the colors represent:
			    </p>
			    <ul>
			        <li><strong>Yellow (brightest)</strong>: A strong positive correlation (close to +1). This indicates that as one variable increases, the other increases in a very predictable manner.</li>
			        <li><strong>Green</strong>: A moderate positive correlation. Variables are still positively related, but the relationship is not as strong.</li>
			        <li><strong>Blue</strong>: A weak or near-zero correlation. There is a small or no discernible relationship between the variables.</li>
			        <li><strong>Purple (darkest)</strong>: A strong negative correlation (close to -1). This indicates that as one variable increases, the other decreases in a very predictable manner.</li>
			    </ul>
			
			    <h2>What the Heatmap Shows</h2>
			    <p>
			        In the heatmap, each cell represents the correlation between two numerical columns. The color of the cell is determined by the correlation coefficient: from yellow for strong positive correlations, through green and blue for weaker correlations, to purple for strong negative correlations.
			    </p>
			
			<h1>&nbsp;Result-Pairs</h1>
			<div class="invert_in_dark_mode" id="plotResultPairs"></div>
			<h1>&nbsp;Evolution</h1>
			<div class="invert_in_dark_mode" id="plotResultEvolution"></div>
			<h1>&nbsp;Exit-Codes</h1>
			<div class="invert_in_dark_mode" id="plotExitCodesPieChart"></div>
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