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_0,0.050000000000000002775557561563,5.000000000000000000000000000000,632,17,316,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.653810538768768267914310854394,3
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,3.000000000000000000000000000000,4527,10,4724,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.347956811627373074902180860590,51
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,3.000000000000000000000000000000,2932,12,2319,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.793364994185045357966146184481,95
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,1592,4,2955,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.206818757254630336550604852164,46
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,6.000000000000000000000000000000,2484,13,4048,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.903702613780274943700021594850,80
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,3609,0,913,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.094653745081275705852696944476,31
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,3934,19,3318,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.545718602180480960583963678801,25
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,7.000000000000000000000000000000,293,5,1409,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.453977721882984019963203081716,73
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,332,11,3453,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.938581115342676630675100568624,84
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,4208,3,1587,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.059653413629159331155182854900,33
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,3256,15,4187,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.611902628423646066657681785728,14
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,4.000000000000000000000000000000,1898,8,1087,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.387915525529533622428601802312,65
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,1554,20,2181,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.688985986048355703026402352407,11
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,6.000000000000000000000000000000,2659,6,2781,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.312659560482949017146125925137,61
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,17.000000000000000000000000000000,4879,15,181,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.859845936402678479026917557348,93
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,1218,1,4547,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.140459637491032490741460492245,42
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,8.000000000000000000000000000000,1032,14,1873,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.328489633105695233439291769173,90
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,4752,2,3714,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.669744895866140721452097750443,39
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,2551,20,1119,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.220126501487568015935636367431,7
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,1349,7,4234,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.779691652465611673150647220609,59
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,2104,16,2515,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.082792495170608160215408588556,17
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,5.000000000000000000000000000000,3364,8,1900,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.918853051360696504445968457730,69
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,5.000000000000000000000000000000,4335,11,4495,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.471967800825834282729687174651,87
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,6.000000000000000000000000000000,518,2,154,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.528337773067876659283115259313,36
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,88,18,4986,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.016433418162167073156565422209,22
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,8.000000000000000000000000000000,3826,6,601,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.985333950823172877164779492887,69
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,3481,13,3001,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.436670596154406676081549676383,76
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,2298,1,2351,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.563513155285269018435201360262,29
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,11.000000000000000000000000000000,1779,12,632,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.262427542710676808823677674809,98
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,3059,4,3783,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.735928816150873910117979903589,50
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,214,13,3146,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,92
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,3.000000000000000000000000000000,1408,14,3133,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,91
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,4.000000000000000000000000000000,1457,7,2546,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,77
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,3.000000000000000000000000000000,1402,12,3297,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,89
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,2.000000000000000000000000000000,1025,12,3321,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,3.000000000000000000000000000000,3211,10,3105,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,4.000000000000000000000000000000,1,14,3029,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,81
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,5.000000000000000000000000000000,441,6,2617,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,78
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,3.000000000000000000000000000000,339,12,3585,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,84
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,4.000000000000000000000000000000,1,4,2484,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,83
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,2149,13,3685,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,3.000000000000000000000000000000,1,17,3305,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,87
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,3.000000000000000000000000000000,1164,14,2644,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,79
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,4.000000000000000000000000000000,1,15,2922,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,4.000000000000000000000000000000,2275,11,3018,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,90
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,3.000000000000000000000000000000,3226,10,2284,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,58
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,4.000000000000000000000000000000,471,11,3115,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,9.000000000000000000000000000000,1584,11,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,95
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,4.000000000000000000000000000000,632,15,3040,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,73
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,3.000000000000000000000000000000,1890,12,3240,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,82
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,8.000000000000000000000000000000,2434,14,3441,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,92
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,4.000000000000000000000000000000,1,20,3378,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.657026772094720157291192208504,88
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,6.000000000000000000000000000000,1385,8,3239,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.993666276370647083560072587716,74
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,607,13,4030,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,90
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,4.000000000000000000000000000000,1,2,2757,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,77
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,4.000000000000000000000000000000,622,11,3794,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,4.000000000000000000000000000000,3080,8,2387,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,89
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,13,2715,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,73
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,2652,9,4958,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,69
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,4.000000000000000000000000000000,1,5,2276,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,3378,9,4107,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,81
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,1789,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,56
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,1207,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,34
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,4642,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,59
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,832,9,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,17
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1489,9,2501,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,3973,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,7.000000000000000000000000000000,593,9,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,24
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,114,9,4276,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,63
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1682,9,1494,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,47
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,4350,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,66
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,3.000000000000000000000000000000,5000,17,1838,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,53
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,1452,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,33
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,836,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,29
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,4074,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,4436,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,36
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,1181,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,21
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,1709,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,43
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,324,9,4075,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,30
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,2407,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,71
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,1821,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,31
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,3503,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,1060,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,40
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,2392,9,831,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,4778,9,666,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,9
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,1,9,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,5000,9,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,5000,9,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,5000,9,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,1,9,3896,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,1,9,3545,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,10.000000000000000000000000000000,5000,9,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,1,9,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,1,9,3600,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,5000,9,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,7.000000000000000000000000000000,1,9,3351,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,5000,9,2998,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,5000,9,2790,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
117,117_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,1,9,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,1574,9,2106,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,31
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,3421,9,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,30
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,17
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1945,9,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,30
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1292,9,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,18
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,3981,9,4742,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,31
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,852,9,4630,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,30
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,32
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,662,9,4136,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,29
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,16
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1800,9,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,20
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,16
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,730,9,4632,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,13
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,4487,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,29
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,918,9,2027,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,29
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,268,9,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,15
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,2984,9,1921,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,30
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4938,9,2287,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,32
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,1,9,1732,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,31
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,1,9,232,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,54
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,425,9,4880,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,32
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,891,9,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,52
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,36
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,2891,9,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,39
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,4280,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,33
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4614,9,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,48
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4478,9,3398,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,54
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,3891,9,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,27
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,201,9,391,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,52
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,1627,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,19
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4633,9,1561,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,45
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4791,9,4049,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,61
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,544,9,2832,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1473,9,1568,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,49
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4911,9,1713,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,18
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4808,9,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,64
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,2157,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4241,9,2141,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,48
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,1700,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,43
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,365,9,4387,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,6
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4800,9,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,58
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4487,9,4112,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,833,9,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4615,9,1771,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,19
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,4592,9,1624,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,22
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,4156,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,40
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,3308,9,2071,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,9
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,1822,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,42
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,1429,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,23
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,470,9,1963,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4630,9,1325,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,19
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,4248,9,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,56
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,1101,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,21
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,4003,9,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,61
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,60
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,4778,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,4
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,1817,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,18
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,1208,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,46
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,990,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.548243187844170809519539488974,100
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4291,9,1884,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.078458755085239265114616102892,100
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,3340,9,705,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.617242870951790867373176752153,100
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,2758,9,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1213,9,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,7.000000000000000000000000000000,2707,9,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,1960,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.070473098973246328657893400305,100
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,2979,9,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,2615,9,3108,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,2634,9,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1764,9,3062,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,3109,9,1031,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.516024236780638911881169406115,100
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,1597,9,149,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.584352689562315563698291498440,1
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,3158,9,29,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.500826518411174537170893472648,1
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4371,9,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,7.000000000000000000000000000000,1539,9,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,2953,9,2418,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,10.000000000000000000000000000000,1,9,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,2369,9,4625,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.262394429126355188675034924017,1
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,2224,9,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,2234,9,655,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,2452,9,4055,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,3016,9,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1641,9,2072,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.719352964288467733311449592293,1
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1855,9,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1783,9,3590,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,2860.000000000000000000000000000000,5000,9,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,2612.000000000000000000000000000000,1,9,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,2735.000000000000000000000000000000,1,9,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000888178419700,100
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,24.000000000000000000000000000000,1,9,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,25
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,4698,9,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,2653.000000000000000000000000000000,1,9,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,3009,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,2690.000000000000000000000000000000,5000,9,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,5000,9,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
230,230_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,2
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,2622.000000000000000000000000000000,5000,9,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,12.000000000000000000000000000000,5000,9,846,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,2991.000000000000000000000000000000,1,9,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
237,237_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,7.000000000000000000000000000000,5000,9,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,5000,9,643,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,52
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,5.000000000000000000000000000000,328,9,635,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,50
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,5.000000000000000000000000000000,5000,9,663,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,53
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,5.000000000000000000000000000000,738,9,678,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,58
244,244_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,660,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,54
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,5.000000000000000000000000000000,1,9,673,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,55
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,5.000000000000000000000000000000,2703,9,588,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,42
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,5.000000000000000000000000000000,5000,9,619,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,48
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,2769,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,2446,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,3635,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,5.000000000000000000000000000000,1,9,612,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,48
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,1354,9,3906,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,18.000000000000000000000000000000,1,9,941,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,2466,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
255,255_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,4669,9,565,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,31
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,1,9,683,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,57
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,5000,9,2755,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
259,259_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,2726,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,2849,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,3558,9,4492,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,3756,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,3856,9,2407,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,2459,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,60
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,1,9,604,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,46
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,515,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,38
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,5.000000000000000000000000000000,260,9,647,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,49
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,5000,9,3995,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
270,270_0,FAILED,BoTorch,GenerationStep_1,,,1712,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.841746782590136244373013596487,1
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,2714,9,4506,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.308172661610267351051106743398,100
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,1,9,4594,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
273,273_0,FAILED,BoTorch,GenerationStep_1,,,1214,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.592052790107263526842018563912,1
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,8.000000000000000000000000000000,1,9,2315,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.191822421070859366887262353885,100
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,752,9,259,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.481781857405424396301185652192,1
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,267,9,1853,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4601,9,3607,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,32
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,5000,9,2279,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.938957936001596049635509189102,100
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,4509,9,2929,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.780658256636054703747618077614,1
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,5000,9,4531,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,10.000000000000000000000000000000,198,9,1520,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.431684334191012486492411426298,100
282,282_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,3220,9,1286,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.766611799035802787827265092346,1
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,10.000000000000000000000000000000,5000,9,4506,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.925495436666483595189447441953,100
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,522,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,21
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,1,9,4501,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,3174,9,3653,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.334985824932360898298355778024,39
288,288_0,FAILED,BoTorch,GenerationStep_1,,,701,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.136971358026514555827901631346,65
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1442,9,1365,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.835816394644105731259742242401,1
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,4844,9,1940,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.038677700745907900303777182671,1
291,291_0,FAILED,BoTorch,GenerationStep_1,,,3111,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,2921,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,308,9,642,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.557405160197013582745739768143,25
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,5.000000000000000000000000000000,2766,9,4537,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,69
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,213,9,509,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.878708950004881805817547046900,100
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,10.000000000000000000000000000000,247,9,1996,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.594879855296755799543007015018,100
297,297_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.813815557445136117387107788090,60
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,1648,9,3724,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,62
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,4584,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,3.000000000000000000000000000000,5000,17,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,4590,17,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,6.000000000000000000000000000000,1,14,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,4.000000000000000000000000000000,1,5,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,10.000000000000000000000000000000,5000,5,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,7.000000000000000000000000000000,5000,5,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1,17,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,4.000000000000000000000000000000,5000,0,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,8.000000000000000000000000000000,3128,17,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,7.000000000000000000000000000000,1102,5,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,4.000000000000000000000000000000,5000,5,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,3.000000000000000000000000000000,1,14,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,7.000000000000000000000000000000,5000,14,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
313,313_0,FAILED,BoTorch,GenerationStep_1,,,1,17,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
314,314_0,FAILED,BoTorch,GenerationStep_1,,,1,14,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
315,315_0,FAILED,BoTorch,GenerationStep_1,,,5000,5,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,8.000000000000000000000000000000,2430,5,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
317,317_0,FAILED,BoTorch,GenerationStep_1,,,5000,5,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
318,318_0,FAILED,BoTorch,GenerationStep_1,,,5000,14,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,6.000000000000000000000000000000,5000,14,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,3.000000000000000000000000000000,5000,14,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,3.000000000000000000000000000000,5000,14,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,4.000000000000000000000000000000,5000,5,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,4.000000000000000000000000000000,1,14,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,10.000000000000000000000000000000,1,0,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,4.000000000000000000000000000000,5000,20,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,895,17,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
327,327_0,FAILED,BoTorch,GenerationStep_1,,,5000,17,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,4.000000000000000000000000000000,2552,5,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
329,329_0,FAILED,BoTorch,GenerationStep_1,,,1,5,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,8.000000000000000000000000000000,1,5,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
331,331_0,FAILED,BoTorch,GenerationStep_1,,,1,5,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
332,332_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,7.000000000000000000000000000000,5000,5,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
334,334_0,FAILED,BoTorch,GenerationStep_1,,,1,5,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
335,335_0,FAILED,BoTorch,GenerationStep_1,,,1,14,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,4.000000000000000000000000000000,1129,5,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
337,337_0,FAILED,BoTorch,GenerationStep_1,,,1,17,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
338,282_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,6.000000000000000000000000000000,5000,0,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
340,340_0,FAILED,BoTorch,GenerationStep_1,,,5000,14,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
341,341_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,7.000000000000000000000000000000,1,5,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,10.000000000000000000000000000000,5000,0,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,7.000000000000000000000000000000,1,14,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,1,17,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,67
345,345_0,FAILED,BoTorch,GenerationStep_1,,,5000,17,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,4632,17,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,10.000000000000000000000000000000,1,14,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,7.000000000000000000000000000000,280,5,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
349,349_0,FAILED,BoTorch,GenerationStep_1,,,5000,14,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
350,350_0,FAILED,BoTorch,GenerationStep_1,,,5000,5,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,3.000000000000000000000000000000,5000,17,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,17,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,4.000000000000000000000000000000,1,5,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
354,354_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,7.000000000000000000000000000000,1,5,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
356,356_0,FAILED,BoTorch,GenerationStep_1,,,5000,5,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,3.000000000000000000000000000000,5000,17,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
358,358_0,FAILED,BoTorch,GenerationStep_1,,,1,17,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,1,17,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
360,360_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
361,361_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,6.000000000000000000000000000000,5000,14,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
362,362_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
363,363_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,6.000000000000000000000000000000,5000,14,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
365,365_0,FAILED,BoTorch,GenerationStep_1,,,5000,5,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
366,366_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
367,367_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
368,368_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,6.000000000000000000000000000000,5000,14,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
369,369_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
370,370_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,7.000000000000000000000000000000,5000,9,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
371,371_0,FAILED,BoTorch,GenerationStep_1,,,1,14,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
372,372_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
373,373_0,FAILED,BoTorch,GenerationStep_1,,,1,5,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
374,374_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,3.000000000000000000000000000000,5000,14,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
375,375_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
376,376_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,5000,9,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
377,377_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,7.000000000000000000000000000000,1,5,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
378,378_0,FAILED,BoTorch,GenerationStep_1,,,5000,12,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,8.000000000000000000000000000000,5000,5,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,4.000000000000000000000000000000,5000,5,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,3.000000000000000000000000000000,1,14,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,10.000000000000000000000000000000,5000,5,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
384,384_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,1,9,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
386,386_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,7.000000000000000000000000000000,5000,5,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
387,387_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
388,349_0,FAILED,BoTorch,GenerationStep_1,,,5000,14,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
389,389_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,9.000000000000000000000000000000,1,14,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
390,390_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,1409,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
391,391_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,1305,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,10.000000000000000000000000000000,1479,9,1346,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
393,393_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,5000,9,1432,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
394,394_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,1390,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,3231,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,5000,9,1242,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
397,397_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,1130,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,1437,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
399,399_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,10.000000000000000000000000000000,1,9,1469,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,5000,9,1515,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,3339,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,3904,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,1164,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,1720,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,1558,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,1322,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4154,9,3679,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
408,408_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,1,9,4133,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,2999,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
410,410_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,1609,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,1483,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,1,9,1149,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
413,413_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,5000,9,1393,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
414,414_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,1316,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
415,415_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,4261,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,7.000000000000000000000000000000,3843,9,1274,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
417,417_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,4013,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,4010,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,1202,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
420,420_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,2741,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,30
421,421_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,2160,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,80
422,422_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,10.000000000000000000000000000000,5000,9,769,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
423,423_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,625,9,2930,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,30
424,424_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,4210,9,168,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14
425,425_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,1,9,159,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,14
426,426_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,4725,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,80
427,427_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,10.000000000000000000000000000000,1,9,763,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
428,428_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,3825,9,140,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,14
429,429_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,628,9,4230,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,27
430,430_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,4632,9,304,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
431,431_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
432,432_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,1,9,173,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,15
433,433_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1335,9,3988,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,23
434,434_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4346,9,2413,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
435,435_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,3976,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24
436,436_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,2207,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,86
437,437_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4938,9,2797,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,36
438,438_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,7.000000000000000000000000000000,3615,9,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,68
439,439_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,573,9,3392,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,75
440,440_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,4098,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,27
441,441_0,FAILED,BoTorch,GenerationStep_1,,,3951,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
442,442_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,93,9,2477,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,24
443,443_0,FAILED,BoTorch,GenerationStep_1,,,3777,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,68
444,444_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,2391,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,20
445,445_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,2038,9,335,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
446,446_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,5.000000000000000000000000000000,4021,9,2322,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,72
447,447_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1860,9,3059,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,28
448,448_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,2814,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,28
449,449_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,5.000000000000000000000000000000,4599,9,2432,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,68
450,450_0,FAILED,BoTorch,GenerationStep_1,,,3966,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,65
451,451_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
452,452_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,3588,9,1480,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
453,453_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,5.000000000000000000000000000000,2433,9,1008,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,58
454,454_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,3174,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,29
455,455_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,888,9,334,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,19
456,456_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1022,9,983,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,57
457,457_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,1,9,794,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
458,458_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,77
459,459_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,4848,9,323,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,60
460,460_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,5000,9,1781,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,57
461,461_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,5.000000000000000000000000000000,5000,9,908,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
462,462_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,2445,9,456,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,76
463,463_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1256,9,4770,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
464,464_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
465,465_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,386,9,1464,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,77
466,466_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,4379,9,282,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,63
467,467_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,3892,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,76
468,468_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,4748,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
469,469_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,4536,9,1412,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
470,470_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,3320,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
471,255_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
472,472_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,5.000000000000000000000000000000,4897,9,2952,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,75
473,473_0,FAILED,BoTorch,GenerationStep_1,,,3627,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
474,474_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,4726,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
475,475_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4923,9,3735,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
476,367_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
477,477_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,255,9,513,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
478,478_0,FAILED,BoTorch,GenerationStep_1,,,1722,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,22
479,479_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,650,9,651,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,73
480,375_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
481,481_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,4069,9,4707,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,69
482,482_0,FAILED,BoTorch,GenerationStep_1,,,159,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
483,483_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,3683,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
484,484_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,2065,9,1882,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,80
485,485_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,63
486,486_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,4752,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,18
487,487_0,FAILED,BoTorch,GenerationStep_1,,,3452,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
488,488_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,3464,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,27
489,489_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,7.000000000000000000000000000000,1717,9,748,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,83
490,490_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,68
491,491_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
492,492_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,3833,9,2008,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,44
493,493_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4170,9,3775,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24
494,494_0,FAILED,BoTorch,GenerationStep_1,,,4308,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,69
495,495_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,4356,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,18
496,496_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,14.000000000000000000000000000000,4767,9,604,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,96
497,497_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,4314,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,86
498,498_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,1,9,2018,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
499,499_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,5000,9,572,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,19
500,282_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
501,501_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,4160,9,4104,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,57
502,502_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,4808,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,17
503,503_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,421,9,4345,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,54
504,504_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4446,9,2039,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,54
505,505_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,1,9,1886,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
506,506_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1072,9,3203,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
507,507_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,64
508,508_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,3721,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,57
509,509_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,150,9,4378,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
510,510_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,6.000000000000000000000000000000,1287,19,1298,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.909078187108039892372346457705,70
511,511_0,COMPLETED,Sobol,SOBOL,0.059999999999999997779553950750,5.000000000000000000000000000000,4938,5,2509,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.100181657820940017700195312500,10
512,512_0,COMPLETED,Sobol,SOBOL,0.059999999999999997779553950750,4.000000000000000000000000000000,3548,12,509,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.559939928378909823614151264337,50
513,513_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,5.000000000000000000000000000000,171,4,4221,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.496100871911272389702673990541,85
514,514_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,5.000000000000000000000000000000,953,15,3388,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.697639641858637360449790776329,28
515,515_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,10.000000000000000000000000000000,2772,1,2177,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.262889863515272714789006158753,89
516,516_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,7.000000000000000000000000000000,3843,16,4786,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.832303567258641074921854396962,54
517,517_0,COMPLETED,Sobol,SOBOL,0.059999999999999997779553950750,5.000000000000000000000000000000,2375,8,1077,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.143819375816732653028395816364,18
518,518_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,5.000000000000000000000000000000,1887,11,4674,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.639395851444452989476019411086,33
519,519_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,11.000000000000000000000000000000,4331,3,887,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.322106010293588040926948679044,95
520,520_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,5.000000000000000000000000000000,2909,20,3578,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.766293670685961880728598316637,61
521,521_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,5.000000000000000000000000000000,817,6,2290,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.210802253350615503846299247925,25
522,522_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,43.000000000000000000000000000000,346,18,6,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.974096315545961211057601758512,64
523,523_0,COMPLETED,Sobol,SOBOL,0.080000000000000001665334536938,4.000000000000000000000000000000,3371,9,3796,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.032237480778247118440305030163,2
524,524_0,COMPLETED,Sobol,SOBOL,0.059999999999999997779553950750,4.000000000000000000000000000000,4489,14,1722,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.617252846084535122805903029075,44
525,525_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,7.000000000000000000000000000000,1737,0,3012,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.435862482795491834597356728409,80
526,526_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,5.000000000000000000000000000000,1603,13,665,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.078666519373655319213867187500,39
527,527_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,4.000000000000000000000000000000,4672,1,4377,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.883810219423845411235163282981,78
528,528_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,6.000000000000000000000000000000,3251,17,2391,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.454729078700765954046403294342,68
529,529_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,4.000000000000000000000000000000,534,10,3603,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.523341246511787150375027977134,4
530,530_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,243.000000000000000000000000000000,1747,9,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,49
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,10.000000000000000000000000000000,144,9,97,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,51
532,532_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,9.000000000000000000000000000000,738,9,1012,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,361,9,348,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,65
534,534_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,6.000000000000000000000000000000,2072,9,352,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,65
535,535_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,2124,9,1417,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,54
536,536_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,3165,9,1291,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,41
537,537_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,2588,9,3142,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,54
538,538_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3595,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,15
539,539_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,4488,9,2837,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,49
540,540_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,2672,9,3028,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,13
541,541_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3823,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,15
542,542_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,2747,9,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,86
543,543_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,1773,9,612,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,42
544,544_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3403,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,17
545,545_0,FAILED,BoTorch,BOTORCH_MODULAR,,,526,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,73
546,546_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,4359,9,3532,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,15
547,547_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,3235,9,966,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,38
548,548_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1177,9,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,85
549,549_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,11.000000000000000000000000000000,1743,9,1028,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,84
550,550_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,4215,9,958,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.500633178186006944088148884475,86
551,551_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,4675,9,190,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.482555557309027216561503337289,87
552,552_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4025,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,72
553,553_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,50
554,554_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3189,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,15
555,555_0,FAILED,BoTorch,BOTORCH_MODULAR,,,841,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,13
556,556_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1062,9,2963,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14
557,557_0,FAILED,BoTorch,BOTORCH_MODULAR,,,422,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14
558,558_0,FAILED,BoTorch,BOTORCH_MODULAR,,,292,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,8
559,559_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,7.000000000000000000000000000000,4494,9,1777,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,82
560,560_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4186,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,74
561,561_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,10.000000000000000000000000000000,1184,9,835,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,97
562,562_0,FAILED,BoTorch,BOTORCH_MODULAR,,,585,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,14
563,563_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,4245,9,4794,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,56
564,564_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3434,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,15
565,565_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,4949,9,1734,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,19
566,566_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4758,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
567,567_0,FAILED,BoTorch,BOTORCH_MODULAR,,,898,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,14
568,568_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,7.000000000000000000000000000000,485,9,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,46
569,569_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,72
570,570_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,2262,9,2120,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,50
571,571_0,FAILED,BoTorch,BOTORCH_MODULAR,,,982,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,17
572,572_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
573,573_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4906,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,17
574,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3439,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,14
575,575_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,2833,9,3652,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,89
576,576_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1695,9,3339,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,53
577,577_0,FAILED,BoTorch,BOTORCH_MODULAR,,,76,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,73
578,578_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
579,579_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1507,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,16
580,580_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,3504,9,4566,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,37
581,581_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2449,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,70
582,572_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
583,583_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3617,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,68
584,584_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
585,585_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1077,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,15
586,586_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,8.000000000000000000000000000000,1,9,4853,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,84
587,587_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,64
588,588_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,5000,9,1639,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,64
589,589_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,211,9,2845,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,88
590,590_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3409,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14
591,372_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
592,592_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,3937,9,2538,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,47
593,593_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1837,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,73
594,594_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,3077,9,335,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,48
595,595_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.059999999999999997779553950750,6.000000000000000000000000000000,89,14,245,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,49
596,596_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3762,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,76
597,597_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,60
598,598_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3229,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,73
599,599_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,1947,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,13
600,600_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,61
601,601_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3374,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,10
602,602_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2090,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,17
603,603_0,FAILED,BoTorch,BOTORCH_MODULAR,,,424,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,10
604,604_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4025,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,66
605,605_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4733,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,16
606,606_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,2258,9,2916,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,19
607,607_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2807,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,15
608,608_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2707,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.595125731860182693999661296402,60
609,609_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,8.000000000000000000000000000000,3360,9,2679,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.328179782426496036151775115286,88
610,610_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,70
611,332_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
612,612_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,3710,9,246,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,34
613,613_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3019,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,72
614,614_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,1141,9,4109,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.477313766232934477695692976340,40
615,615_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4677,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.518615400603031240223117492860,14
616,616_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4767,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.497017060206018490564616740812,70
617,617_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4133,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.496217474930924884457539292271,15
618,618_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,12.000000000000000000000000000000,322,9,840,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.499574055538671568665876066007,100
619,619_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4174,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.506447374192416255311854911270,55
620,620_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,1299,9,2016,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
621,621_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4457,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.563812800010453085697292863188,15
622,622_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2456,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,53
623,623_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2718,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,74
624,624_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,4249,9,832,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,11
625,625_0,FAILED,BoTorch,BOTORCH_MODULAR,,,770,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,16
626,451_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
627,627_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,1,9,381,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,62
628,628_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,3245,9,2595,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,39
629,629_0,FAILED,BoTorch,BOTORCH_MODULAR,,,260,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,68
630,630_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1467,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.503472659479487494316174434061,67
631,631_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,4213,9,3834,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.353415993700741171146262331604,64
632,632_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,6.000000000000000000000000000000,1635,9,271,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.513856172217926232548279585899,79
633,633_0,FAILED,BoTorch,BOTORCH_MODULAR,,,173,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,54
634,634_0,FAILED,BoTorch,BOTORCH_MODULAR,,,117,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.442662093989040106301047217130,17
635,635_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,3547,9,39,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.363038576310713900774373996683,16
636,636_0,FAILED,BoTorch,BOTORCH_MODULAR,,,271,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.438995756132914138891720767788,1
637,637_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2944,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.419037596072209250763762611314,1
638,638_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,71
639,639_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1,9,1494,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.009354486608580625528475138708,49
640,640_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,497,9,4668,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,11
641,641_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,1426,9,4695,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,30
642,642_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,4448,9,4398,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.933676076412908950707958410931,46
643,643_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,68
644,644_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,64
645,645_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,6.000000000000000000000000000000,3803,9,998,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.623485901205231063393341628398,32
646,646_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4210,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.403459990362696918619889174806,100
647,647_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,1416,9,4190,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,45
648,648_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,3578,9,321,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,18
649,649_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,8.000000000000000000000000000000,875,9,805,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,90
650,650_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,2013,9,1674,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,88
651,651_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,1606,9,2683,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,10
652,369_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
653,653_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,60
654,654_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,4218,9,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.529046051646440473881227717357,51
655,655_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,3010,9,2880,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.519128777397887652966801397270,64
656,656_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3408,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.463451397843940238185922453340,63
657,657_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.059999999999999997779553950750,5.000000000000000000000000000000,1849,14,517,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,68
658,658_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,66
659,491_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
660,578_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
661,661_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,5000,9,523,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,53
662,662_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,7.000000000000000000000000000000,895,9,4340,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,88
663,663_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1177,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,72
664,664_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1668,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,66
665,665_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4359,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,51
666,666_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,3818,9,791,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,56
667,667_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,867,9,3575,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14
668,668_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,6.000000000000000000000000000000,2934,9,1841,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,78
669,669_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,6.000000000000000000000000000000,113,9,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,84
670,670_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,1595,9,4698,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,99
671,671_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2668,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,59
672,672_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1048,9,1744,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,57
673,673_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,3539,9,3595,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,45
674,674_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,3145,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,51
675,675_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2197,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
676,676_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,5000,9,630,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,43
677,354_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
678,678_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1703,9,2578,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,48
679,679_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1,9,3492,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14
680,680_0,FAILED,BoTorch,BOTORCH_MODULAR,,,473,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,56
681,681_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4580,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,67
682,682_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,3208,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,39
683,683_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3062,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.416780473146629304448396169391,63
684,684_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,2226,9,236,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,72
685,685_0,FAILED,BoTorch,BOTORCH_MODULAR,,,176,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,68
686,686_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,1562,9,4584,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
687,687_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.500493974942329611366176322917,61
688,688_0,FAILED,BoTorch,BOTORCH_MODULAR,,,300,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,95
689,689_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4884,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.182778730391798344134812737138,67
690,690_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,1,9,1208,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,48
691,691_0,FAILED,BoTorch,BOTORCH_MODULAR,,,478,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.474460968615655287461407851879,55
692,692_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,2037,9,3428,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.482451338593436362955912954931,63
693,693_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1058,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.449137306693622506692520346405,57
694,694_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,81
695,695_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,3292,9,4034,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,11
696,696_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2755,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.502639230493114874676052750146,71
697,697_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,10.000000000000000000000000000000,539,9,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.524537405442798920773839199683,11
698,698_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4737,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.532015111935657647457276198111,63
699,699_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3230,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.486649083664105586155557148231,48
700,700_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,4054,9,549,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.502416542960950396334851575375,90
701,701_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2730,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.496651870405109330253168309355,66
702,702_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,6.000000000000000000000000000000,2088,9,3578,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,79
703,703_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,4488,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
704,704_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4156,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,64
705,705_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1,9,2946,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,54
706,706_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,3194,9,4717,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,74
707,707_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,5000,9,3469,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,37
708,708_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.500818008761184874089167351485,1
709,572_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
710,710_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,575,9,884,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,19
711,711_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,7.000000000000000000000000000000,1544,9,1633,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,86
712,372_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
713,713_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,3129,9,4615,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.476971000687481494484387667399,63
714,714_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4383,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.471595404785979721573596634698,69
715,715_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,4579,9,2564,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,13
716,716_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,5000,9,3206,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,85
717,717_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,4593,9,3260,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,89
718,718_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,3579,9,4293,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.497570405724525988144790744627,13
719,719_0,FAILED,BoTorch,BOTORCH_MODULAR,,,321,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.558852667125831592542795078771,71
720,720_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3669,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.578798623758128960581359478965,100
721,354_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
722,722_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,805,9,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.601543681656229956011827653128,12
723,723_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,9.000000000000000000000000000000,3323,9,540,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.273487080805677906791828490896,84
724,724_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1729,9,2387,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.598429632337906136640981458186,71
725,725_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4467,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,67
726,726_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1991,9,4309,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,29
727,727_0,FAILED,BoTorch,BOTORCH_MODULAR,,,824,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,74
728,728_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,4501,9,4784,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.501104273536175925940483466547,37
729,729_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,677,9,2258,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.528788216197389138173434730561,36
730,730_0,FAILED,BoTorch,BOTORCH_MODULAR,,,246,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,64
731,731_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,3498,9,2340,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,90
732,732_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,1203,9,3776,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,15
733,733_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,1755,9,216,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.503527734246015490349179799523,10
734,734_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,3085,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,12
735,735_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,769,9,1871,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,69
736,736_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2749,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,66
737,737_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2479,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.878766640972615253879496322043,70
738,738_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3126,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.020865087759160395181057268132,73
739,739_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,6.000000000000000000000000000000,1999,9,1366,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,65
740,740_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,1200,9,3977,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,87
741,741_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3734,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.522254104856495260378324019257,73
742,742_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,71
743,743_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3331,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,58
744,744_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,3919,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,50
745,745_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
746,746_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,5000,9,375,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
747,332_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
748,748_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,478,9,2159,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.493836771578383348924035090022,31
749,749_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,4264,9,4789,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.390132920837053975837704911100,90
750,750_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,3513,9,599,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.532257998083876859851670815260,15
751,751_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3932,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.542943757178321328993320094014,65
752,752_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4476,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
753,753_0,FAILED,BoTorch,BOTORCH_MODULAR,,,511,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,72
754,754_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2204,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
755,755_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,9.000000000000000000000000000000,1,9,4705,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
756,756_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2509,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999888089519117784,1
757,757_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,2156,9,2707,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.667867841010121532363541518862,12
758,758_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,4388,9,1591,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.500813012869371187996136995935,11
759,759_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,3068,9,3357,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,71
760,760_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,2341,9,1147,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,72
761,761_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1,9,375,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.545574393654942313425237898628,37
762,762_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,4751,9,2945,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.419310942927772489774440600740,20
763,763_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,11.000000000000000000000000000000,1800,9,1618,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
764,764_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,1921,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,25
765,765_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4484,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.661351360058276216413730708155,60
766,766_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,3390,9,1432,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.555164838693086415410959943983,29
767,767_0,FAILED,BoTorch,BOTORCH_MODULAR,,,842,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,67
768,768_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1438,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.477491574121485407022902336394,71
769,769_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2803,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.450848813567897799270411951511,100
770,770_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1650,9,3867,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.490137704385136707685433066217,39
771,771_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,7.000000000000000000000000000000,3340,9,3658,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,84
772,772_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,62
773,773_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3131,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,59
774,569_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,72
775,491_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
776,776_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2935,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,66
777,777_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,59
778,778_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,4857,9,1588,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,11
779,779_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2404,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,76
780,780_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,63
781,781_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
782,782_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,7.000000000000000000000000000000,4397,9,848,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,40
783,783_0,FAILED,BoTorch,BOTORCH_MODULAR,,,89,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,71
784,784_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2135,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,53
785,785_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,3967,9,3833,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,72
786,786_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,223,9,338,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,60
787,787_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,4485,9,4736,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,91
788,788_0,FAILED,BoTorch,BOTORCH_MODULAR,,,471,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.347919412678139194916582255246,65
789,789_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,11.000000000000000000000000000000,5000,9,1935,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
790,790_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1221,9,2645,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,86
791,791_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,2466,9,1027,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,90
792,259_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
793,793_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,3254,9,3281,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,13
794,794_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,3889,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,10
795,795_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1682,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,56
796,796_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,826,9,952,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,3
797,797_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,339,9,1200,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,11
798,798_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,52
799,799_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1,9,4583,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,37
800,800_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,5000,9,4356,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
801,801_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,5000,9,4733,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,46
802,802_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,4831,9,2599,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.374419019733921887294059160922,100
803,803_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,63
804,804_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1331,9,189,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.617505835801738345303135702125,56
805,805_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,4396,9,1864,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.669411766179955458611061658303,64
806,431_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
807,807_0,FAILED,BoTorch,BOTORCH_MODULAR,,,72,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
808,808_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,4209,9,3859,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,72
809,809_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,8.000000000000000000000000000000,5000,9,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,44
810,810_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,4572,9,2801,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
811,811_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,5000,9,2686,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,92
812,812_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,4125,9,4758,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.667632296374205624900355360296,51
813,813_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4513,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.475542014168949478403192188125,1
814,814_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,6.000000000000000000000000000000,1376,9,2251,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
815,815_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,72
816,816_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,7.000000000000000000000000000000,3076,9,1703,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,87
817,817_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,2843,9,4742,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.520577962737071575638481135684,7
818,584_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
819,819_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,400,9,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.360545577813167150704742880407,73
820,820_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
821,821_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,681,9,412,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,29
822,822_0,FAILED,BoTorch,BOTORCH_MODULAR,,,556,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.062969266187032635340159458792,100
823,823_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1022,9,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,90
824,824_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,4259,9,1442,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.003227369332484344641165385781,65
825,825_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.949656349972834434858270924451,100
826,826_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998439896587816733131148794200,1
827,827_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1987,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
828,742_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,71
829,360_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
830,830_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3989,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
831,831_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3471,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,62
832,832_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
833,833_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,5000,9,2037,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,86
834,834_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.900427226150539827820296068239,1
835,835_0,FAILED,BoTorch,BOTORCH_MODULAR,,,620,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,26
836,836_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,4648,9,2733,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,57
837,837_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,46
838,838_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2941,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,68
839,839_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
840,840_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1191,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,72
841,841_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3678,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,69
842,842_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,4277,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,75
843,843_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,8.000000000000000000000000000000,4654,9,1759,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
844,844_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,867,9,3377,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.699049862197572258182276527805,39
845,845_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2673,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,69
846,846_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1372,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,76

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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
1745405843,1745405869,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3548 feature_id 12 batch_size 509 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.5599399283789098 subsets 50,3548,12,509,str\(\'KL\'\),2,str\(\'tstat\'\),0.5599399283789098,50,0.06,4,0,None,i7182,4,633.37890625,632.9388020833334,-1,0,4621387
1745405843,1745405869,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4938 feature_id 5 batch_size 2509 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.10018165782094002 subsets 10,4938,5,2509,str\(\'H\'\),1,str\(\'tstat\'\),0.10018165782094002,10,0.06,5,0,None,i7182,5,632.671875,632.1940104166666,-1,0,4621369
1745405855,1745405875,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 171 feature_id 4 batch_size 4221 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.4961008719112724 subsets 85,171,4,4221,str\(\'H\'\),3,str\(\'stdev\'\),0.4961008719112724,85,0.04,5,0,None,i7182,5,632.82421875,632.6770833333334,-1,0,4621409
1745405843,1745405876,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1287 feature_id 19 batch_size 1298 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.9090781871080399 subsets 70,1287,19,1298,str\(\'KL\'\),2,str\(\'stdev\'\),0.9090781871080399,70,0.04,6,0,None,i7182,6,632.9140625,632.8463541666666,-1,0,4621354
1745405881,1745405901,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 953 feature_id 15 batch_size 3388 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.6976396418586374 subsets 28,953,15,3388,str\(\'H\'\),3,str\(\'stdev\'\),0.6976396418586374,28,0.04,5,0,None,i7184,5,633.9296875,633.7486979166666,-1,0,4621438
1745405932,1745405959,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2772 feature_id 1 batch_size 2177 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.2628898635152727 subsets 89,2772,1,2177,str\(\'KL\'\),1,str\(\'tstat\'\),0.2628898635152727,89,0.04,10,0,None,i7184,10,633.03125,632.861328125,-1,0,4621469
1745405974,1745405994,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3843 feature_id 16 batch_size 4786 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.8323035672586411 subsets 54,3843,16,4786,str\(\'H\'\),1,str\(\'tstat\'\),0.8323035672586411,54,0.04,7,0,None,i7184,7,633.6640625,633.4778645833334,-1,0,4621508
1745406005,1745406024,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2375 feature_id 8 batch_size 1077 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.14381937581673265 subsets 18,2375,8,1077,str\(\'KL\'\),3,str\(\'stdev\'\),0.14381937581673265,18,0.06,5,0,None,i7182,5,633.23828125,633.0546875,-1,0,4621542
1745406075,1745406101,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1887 feature_id 11 batch_size 4674 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.639395851444453 subsets 33,1887,11,4674,str\(\'KL\'\),1,str\(\'stdev\'\),0.639395851444453,33,0.04,5,0,None,i7186,5,633.21875,633.0598958333334,-1,0,4621581
1745406163,1745406195,32,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4331 feature_id 3 batch_size 887 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.32210601029358804 subsets 95,4331,3,887,str\(\'H\'\),2,str\(\'tstat\'\),0.32210601029358804,95,0.04,11,0,None,i7183,11,633.94140625,633.673828125,-1,0,4621625
1745406187,1745406212,25,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1737 feature_id 0 batch_size 3012 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.43586248279549183 subsets 80,1737,0,3012,str\(\'KL\'\),1,str\(\'stdev\'\),0.43586248279549183,80,0.04,7,0,None,i7177,7,633.11328125,624.9427083333334,-1,0,4621999
1745406169,1745406258,89,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 346 feature_id 18 batch_size 6 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.9740963155459612 subsets 64,346,18,6,str\(\'H\'\),2,str\(\'stdev\'\),0.9740963155459612,64,0.04,43,0,None,i7180,43,629.43359375,579.046875,-1,0,4621814
1745406210,1745406260,50,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4489 feature_id 14 batch_size 1722 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.6172528460845351 subsets 44,4489,14,1722,str\(\'H\'\),3,str\(\'tstat\'\),0.6172528460845351,44,0.06,4,0,None,i7178,4,634.16796875,631.7018229166666,-1,0,4621939
1745406246,1745406266,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1603 feature_id 13 batch_size 665 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.07866651937365532 subsets 39,1603,13,665,str\(\'H\'\),3,str\(\'tstat\'\),0.07866651937365532,39,0.05,5,0,None,i7182,5,633.6015625,633.3723958333334,-1,0,4622050
1745406204,1745406281,77,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3371 feature_id 9 batch_size 3796 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.03223748077824712 subsets 2,3371,9,3796,str\(\'KL\'\),3,str\(\'tstat\'\),0.03223748077824712,2,0.08,4,0,None,i7179,4,616.16015625,610.8450520833334,-1,0,4621874
1745406309,1745406328,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4672 feature_id 1 batch_size 4377 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.8838102194238454 subsets 78,4672,1,4377,str\(\'KL\'\),2,str\(\'stdev\'\),0.8838102194238454,78,0.04,4,0,None,i7180,4,634.55859375,632.4713541666666,-1,0,4622104
1745406363,1745406382,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3251 feature_id 17 batch_size 2391 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.45472907870076595 subsets 68,3251,17,2391,str\(\'H\'\),1,str\(\'stdev\'\),0.45472907870076595,68,0.05,6,0,None,i7180,6,633.30078125,633.1432291666666,-1,0,4622162
1745406449,1745406481,32,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 534 feature_id 10 batch_size 3603 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.5233412465117872 subsets 4,534,10,3603,str\(\'KL\'\),2,str\(\'tstat\'\),0.5233412465117872,4,0.04,4,0,None,i7183,4,634.12890625,633.91796875,-1,0,4622211
1745406674,1745406854,180,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 817 feature_id 6 batch_size 2290 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.2108022533506155 subsets 25,817,6,2290,str\(\'H\'\),2,str\(\'stdev\'\),0.2108022533506155,25,0.04,5,0,None,i7181,5,631.359375,629.703125,-1,0,4621746
1745406674,1745406856,182,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2909 feature_id 20 batch_size 3578 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.7662936706859619 subsets 61,2909,20,3578,str\(\'KL\'\),3,str\(\'tstat\'\),0.7662936706859619,61,0.04,5,0,None,i7181,5,632.72265625,630.1549479166666,-1,0,4621692
1745407595,1745407855,260,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1747 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 49,1747,9,1,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,49,0.08,243,0,None,i7173,243,634.2421875,634.1006944444445,-1,0,4623699
1745408371,1745408397,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 144 feature_id 9 batch_size 97 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 51,144,9,97,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,51,0.08,10,0,None,i7185,10,634.8828125,634.6184895833334,-1,0,4624464
1745408831,1745408856,25,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 738 feature_id 9 batch_size 1012 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 100,738,9,1012,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,100,0.08,9,0,None,i7177,9,633.38671875,633.12109375,-1,0,4624874
1745409460,1745409517,57,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 361 feature_id 9 batch_size 348 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 65,361,9,348,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,65,0.08,5,0,None,i7178,5,634.3671875,634.2760416666666,-1,0,4625404
1745409976,1745410003,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2072 feature_id 9 batch_size 352 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 65,2072,9,352,str\(\'H\'\),2,str\(\'tstat\'\),0.999,65,0.08,6,0,None,i7186,6,634.53515625,634.2408854166666,-1,0,4625888
1745410498,1745410524,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2124 feature_id 9 batch_size 1417 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 54,2124,9,1417,str\(\'H\'\),2,str\(\'tstat\'\),0.999,54,0.08,5,0,None,i7173,5,633.69921875,633.3997395833334,-1,0,4626297
1745411175,1745411201,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3165 feature_id 9 batch_size 1291 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 41,3165,9,1291,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,41,0.08,4,0,None,i7177,4,633.01171875,632.8528645833334,-1,0,4626883
1745411866,1745411917,51,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2588 feature_id 9 batch_size 3142 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 54,2588,9,3142,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,54,0.08,3,0,None,i7178,3,633.8046875,633.5885416666666,-1,0,4627420
1745412598,1745412630,32,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3595 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 15,3595,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,15,None,None,1,None,i7178,,,,,,4628070
1745413273,1745413298,25,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4488 feature_id 9 batch_size 2837 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 49,4488,9,2837,str\(\'H\'\),3,str\(\'stdev\'\),0.001,49,0.08,4,0,None,i7186,4,633.203125,633.03515625,-1,0,4628725
1745413667,1745413686,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2672 feature_id 9 batch_size 3028 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 13,2672,9,3028,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,13,0.08,4,0,None,i7185,4,633.2890625,633.0859375,-1,0,4629170
1745414313,1745414401,88,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3823 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 15,3823,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,15,None,None,1,None,i7178,,,,,,4629886
1745415075,1745415101,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2747 feature_id 9 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 86,2747,9,5000,str\(\'H\'\),3,str\(\'stdev\'\),0.001,86,0.08,4,0,None,i7174,4,634.8984375,634.7044270833334,-1,0,4630945
1745415574,1745415600,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1773 feature_id 9 batch_size 612 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 42,1773,9,612,str\(\'H\'\),1,str\(\'tstat\'\),0.001,42,0.08,5,0,None,i7171,5,633.37890625,633.1770833333334,-1,0,4631577
1745416089,1745416108,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3403 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 17,3403,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,17,None,None,1,None,i7169,,,,,,4632087
1745416670,1745416721,51,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 526 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 73,526,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,73,None,None,1,None,i7167,,,,,,4632568
1745417226,1745417245,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4359 feature_id 9 batch_size 3532 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 15,4359,9,3532,str\(\'H\'\),1,str\(\'stdev\'\),0.001,15,0.08,3,0,None,i7169,3,633.64453125,633.4986979166666,-1,0,4633048
1745417818,1745417845,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3235 feature_id 9 batch_size 966 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 38,3235,9,966,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,38,0.08,4,0,None,i7186,4,634.93359375,634.6354166666666,-1,0,4633492
1745418272,1745418291,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1177 feature_id 9 batch_size 5000 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 85,1177,9,5000,str\(\'H\'\),2,str\(\'stdev\'\),0.999,85,0.08,4,0,None,i7185,4,634.40625,634.1875,-1,0,4633836
1745418859,1745418885,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1743 feature_id 9 batch_size 1028 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 84,1743,9,1028,str\(\'H\'\),1,str\(\'tstat\'\),0.999,84,0.08,11,0,None,i7185,11,633.1875,633.0341796875,-1,0,4634811
1745419412,1745419431,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4215 feature_id 9 batch_size 958 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.5006331781860069 subsets 86,4215,9,958,str\(\'KL\'\),3,str\(\'tstat\'\),0.5006331781860069,86,0.08,3,0,None,i7180,3,633.83984375,633.5755208333334,-1,0,4635764
1745419833,1745419890,57,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4675 feature_id 9 batch_size 190 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.4825555573090272 subsets 87,4675,9,190,str\(\'H\'\),3,str\(\'stdev\'\),0.4825555573090272,87,0.08,4,0,None,i7178,4,632.90234375,632.7265625,-1,0,4636042
1745420664,1745420690,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4025 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 72,4025,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,72,None,None,1,None,i7183,,,,,,4637093
1745421598,1745421617,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 50,5000,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,50,None,None,1,None,i7185,,,,,,4637429
1745422161,1745422237,76,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 841 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 13,841,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,13,None,None,1,None,i7177,,,,,,4638015
1745422360,1745422486,126,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3189 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 15,3189,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,15,None,None,1,None,i7186,,,,,,4637703
1745422717,1745422755,38,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1062 feature_id 9 batch_size 2963 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 14,1062,9,2963,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,14,0.08,4,0,None,i7178,4,631.33984375,630.6145833333334,-1,0,4638963
1745423312,1745423376,64,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 422 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 14,422,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,14,None,None,1,None,i7176,,,,,,4639989
1745424073,1745424219,146,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 292 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 8,292,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,8,None,None,1,None,i7173,,,,,,4640976
1745424586,1745424631,45,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4494 feature_id 9 batch_size 1777 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 82,4494,9,1777,str\(\'H\'\),2,str\(\'tstat\'\),0.001,82,0.08,7,0,None,i7174,7,633.8046875,632.8515625,-1,0,4641753
1745424744,1745424770,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4186 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 74,4186,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,74,None,None,1,None,i7182,,,,,,4642055
1745425564,1745425590,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1184 feature_id 9 batch_size 835 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 97,1184,9,835,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,97,0.08,10,0,None,i7182,10,633.78125,633.57421875,-1,0,4642763
1745426126,1745426139,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 585 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 14,585,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,14,None,None,1,None,i7175,,,,,,4643220
1745426724,1745426737,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4245 feature_id 9 batch_size 4794 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 56,4245,9,4794,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,56,0.08,3,0,None,i7175,3,633.6640625,633.453125,-1,0,4643702
1745427241,1745427254,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3434 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 15,3434,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,15,None,None,1,None,i7177,,,,,,4644118
1745427722,1745427742,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4949 feature_id 9 batch_size 1734 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 19,4949,9,1734,str\(\'H\'\),3,str\(\'stdev\'\),0.999,19,0.08,4,0,None,i7185,4,633.671875,633.4544270833334,-1,0,4644471
1745428223,1745428243,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4758 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 100,4758,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,100,None,None,1,None,i7186,,,,,,4644860
1745428713,1745428726,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 898 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 14,898,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,14,None,None,1,None,i7186,,,,,,4645243
1745429222,1745429242,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 485 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 46,485,9,1,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,46,0.08,7,0,None,i7185,7,634.13671875,633.9401041666666,-1,0,4645642
1745429623,1745429637,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 72,5000,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,72,None,None,1,None,i7183,,,,,,4646036
1745430392,1745430412,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2262 feature_id 9 batch_size 2120 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 50,2262,9,2120,str\(\'H\'\),1,str\(\'tstat\'\),0.001,50,0.08,5,0,None,i7182,5,634.1484375,633.94921875,-1,0,4646696
1745430901,1745430915,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 982 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 17,982,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,17,None,None,1,None,i7180,,,,,,4647215
1745431705,1745431725,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 100,5000,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,100,None,None,1,None,i7175,,,,,,4648006
1745432391,1745432404,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4906 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 17,4906,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,17,None,None,1,None,i7174,,,,,,4648589
1745433073,1745433086,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3439 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 14,3439,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,14,None,None,1,None,i7186,,,,,,4649101
1745434034,1745434054,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2833 feature_id 9 batch_size 3652 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 89,2833,9,3652,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,89,0.08,5,0,None,i7185,5,634.640625,634.4635416666666,-1,0,4649797
1745434719,1745434739,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1695 feature_id 9 batch_size 3339 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 53,1695,9,3339,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,53,0.08,4,0,None,i7173,4,634.7265625,634.5794270833334,-1,0,4650307
1745435651,1745435671,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 76 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 73,76,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,73,None,None,1,None,i7173,,,,,,4651001
1745436399,1745436418,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,100,None,None,1,None,i7186,,,,,,4651537
1745437089,1745437102,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1507 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 16,1507,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,16,None,None,1,None,i7186,,,,,,4652020
1745437751,1745437771,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3504 feature_id 9 batch_size 4566 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 37,3504,9,4566,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,37,0.08,3,0,None,i7182,3,634.55078125,634.3307291666666,-1,0,4652579
1745438407,1745438420,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2449 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 70,2449,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,70,None,None,1,None,i7182,,,,,,4653109
1745438970,1745438990,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 100,5000,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,100,None,None,1,None,i7180,,,,,,4653590
1745439712,1745439725,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3617 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 68,3617,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,68,None,None,1,None,i7178,,,,,,4654241
1745440479,1745440498,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 100,1,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,100,None,None,1,None,i7175,,,,,,4654926
1745441293,1745441313,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1077 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 15,1077,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,15,None,None,1,None,i7174,,,,,,4655549
1745442077,1745442104,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 4853 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 84,1,9,4853,str\(\'H\'\),1,str\(\'stdev\'\),0.999,84,0.08,8,0,None,i7175,8,634.3828125,634.2252604166666,-1,0,4656105
1745442671,1745442685,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 64,1,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,64,None,None,1,None,i7178,,,,,,4656510
1745443303,1745443322,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1639 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 64,5000,9,1639,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,64,0.08,4,0,None,i7183,4,634.1171875,633.8515625,-1,0,4656918
1745443948,1745443980,32,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 211 feature_id 9 batch_size 2845 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 88,211,9,2845,str\(\'H\'\),2,str\(\'stdev\'\),0.001,88,0.08,4,0,None,i7175,4,632.9765625,632.80078125,-1,0,4657344
1745444655,1745444668,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3409 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 14,3409,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,14,None,None,1,None,i7186,,,,,,4657817
1745445056,1745445069,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7183,,,,,,4658111
1745445567,1745445587,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3937 feature_id 9 batch_size 2538 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 47,3937,9,2538,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,47,0.08,4,0,None,i7183,4,633.640625,633.46484375,-1,0,4658490
1745446056,1745446101,45,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1837 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 73,1837,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,73,None,None,1,None,i7182,,,,,,4658810
1745446820,1745446840,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3077 feature_id 9 batch_size 335 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 48,3077,9,335,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,48,0.08,4,0,None,i7180,4,634.265625,634.0013020833334,-1,0,4659446
1745447491,1745447511,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 89 feature_id 14 batch_size 245 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 49,89,14,245,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,49,0.06,6,0,None,i7180,6,633.47265625,633.1197916666666,-1,0,4659968
1745448116,1745448136,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3762 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 76,3762,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,76,None,None,1,None,i7178,,,,,,4660474
1745448853,1745448867,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 60,5000,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,60,None,None,1,None,i7178,,,,,,4661061
1745449432,1745449445,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3229 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 73,3229,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,73,None,None,1,None,i7175,,,,,,4661485
1745450025,1745450038,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1947 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 13,5000,9,1947,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,13,0.08,3,0,None,i7175,3,634.1015625,633.9622395833334,-1,0,4661886
1745450722,1745450735,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 61,1,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,61,None,None,1,None,i7175,,,,,,4662324
1745451371,1745451384,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3374 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 10,3374,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,10,None,None,1,None,i7178,,,,,,4662739
1745452002,1745452016,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2090 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 17,2090,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,17,None,None,1,None,i7186,,,,,,4663139
1745452593,1745452606,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 424 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 10,424,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,10,None,None,1,None,i7185,,,,,,4663529
1745453053,1745453073,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4025 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 66,4025,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,66,None,None,1,None,i7186,,,,,,4663857
1745453572,1745453585,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4733 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 16,4733,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,16,None,None,1,None,i7183,,,,,,4664186
1745454253,1745454273,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2258 feature_id 9 batch_size 2916 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 19,2258,9,2916,str\(\'H\'\),1,str\(\'tstat\'\),0.001,19,0.08,4,0,None,i7182,4,633.7734375,633.5807291666666,-1,0,4664688
1745454952,1745454965,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2807 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 15,2807,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,15,None,None,1,None,i7180,,,,,,4665194
1745455571,1745455585,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2707 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.5951257318601827 subsets 60,2707,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.5951257318601827,60,None,None,1,None,i7180,,,,,,4665636
1745456072,1745456092,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3360 feature_id 9 batch_size 2679 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.32817978242649604 subsets 88,3360,9,2679,str\(\'H\'\),1,str\(\'tstat\'\),0.32817978242649604,88,0.08,8,0,None,i7178,8,633.8984375,633.69140625,-1,0,4665987
1745456837,1745456856,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 70,5000,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,70,None,None,1,None,i7173,,,,,,4666579
1745457692,1745457711,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 100,1,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,100,None,None,1,None,i7175,,,,,,4667196
1745458213,1745458232,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3710 feature_id 9 batch_size 246 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 34,3710,9,246,str\(\'H\'\),3,str\(\'stdev\'\),0.999,34,0.08,4,0,None,i7175,4,634.16796875,633.9739583333334,-1,0,4667550
1745458813,1745458826,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3019 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 72,3019,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,72,None,None,1,None,i7175,,,,,,4667908
1745459313,1745459332,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1141 feature_id 9 batch_size 4109 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.4773137662329345 subsets 40,1141,9,4109,str\(\'KL\'\),2,str\(\'stdev\'\),0.4773137662329345,40,0.08,3,0,None,i7180,3,634.26171875,634.06640625,-1,0,4668214
1745459793,1745459806,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4677 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5186154006030312 subsets 14,4677,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.5186154006030312,14,None,None,1,None,i7175,,,,,,4668517
1745460384,1745460404,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4767 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.4970170602060185 subsets 70,4767,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.4970170602060185,70,None,None,1,None,i7182,,,,,,4668854
1745460797,1745460811,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4133 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.4962174749309249 subsets 15,4133,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.4962174749309249,15,None,None,1,None,i7182,,,,,,4669122
1745461234,1745461260,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 322 feature_id 9 batch_size 840 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.49957405553867157 subsets 100,322,9,840,str\(\'KL\'\),2,str\(\'stdev\'\),0.49957405553867157,100,0.08,12,0,None,i7185,12,632.92578125,632.6962890625,-1,0,4669407
1745461693,1745461706,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4174 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5064473741924163 subsets 55,4174,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.5064473741924163,55,None,None,1,None,i7183,,,,,,4669735
1745462653,1745462666,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1299 feature_id 9 batch_size 2016 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1299,9,2016,str\(\'H\'\),2,str\(\'tstat\'\),0.999,1,0.08,3,0,None,i7176,3,634.64453125,634.4596354166666,-1,0,4670436
1745463174,1745463187,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4457 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.5638128000104531 subsets 15,4457,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.5638128000104531,15,None,None,1,None,i7182,,,,,,4670775
1745464004,1745464017,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2456 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 53,2456,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,53,None,None,1,None,i7180,,,,,,4671365
1745464735,1745464748,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2718 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 74,2718,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,74,None,None,1,None,i7178,,,,,,4671875
1745465315,1745465335,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4249 feature_id 9 batch_size 832 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 11,4249,9,832,str\(\'H\'\),1,str\(\'stdev\'\),0.001,11,0.08,5,0,None,i7178,5,633.1484375,632.9895833333334,-1,0,4672290
1745465954,1745465967,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 770 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 16,770,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,16,None,None,1,None,i7178,,,,,,4672744
1745466655,1745466669,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7175,,,,,,4673214
1745467235,1745467255,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 381 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 62,1,9,381,str\(\'H\'\),2,str\(\'stdev\'\),0.999,62,0.08,5,0,None,i7186,5,634.828125,634.5520833333334,-1,0,4673566
1745468055,1745468075,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3245 feature_id 9 batch_size 2595 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 39,3245,9,2595,str\(\'H\'\),1,str\(\'stdev\'\),0.001,39,0.08,4,0,None,i7175,4,634.171875,634.05078125,-1,0,4674058
1745468745,1745468759,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 260 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 68,260,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,68,None,None,1,None,i7185,,,,,,4674461
1745469496,1745469515,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1467 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5034726594794875 subsets 67,1467,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.5034726594794875,67,None,None,1,None,i7175,,,,,,4674921
1745470096,1745470109,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4213 feature_id 9 batch_size 3834 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.35341599370074117 subsets 64,4213,9,3834,str\(\'KL\'\),2,str\(\'tstat\'\),0.35341599370074117,64,0.08,3,0,None,i7183,3,634.45703125,634.25,-1,0,4675328
1745470636,1745470655,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1635 feature_id 9 batch_size 271 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5138561722179262 subsets 79,1635,9,271,str\(\'KL\'\),1,str\(\'stdev\'\),0.5138561722179262,79,0.08,6,0,None,i7175,6,633.2109375,633.0182291666666,-1,0,4675694
1745471326,1745471340,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 173 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 54,173,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,54,None,None,1,None,i7182,,,,,,4676106
1745471976,1745471989,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 117 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.4426620939890401 subsets 17,117,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.4426620939890401,17,None,None,1,None,i7182,,,,,,4676519
1745472557,1745472577,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3547 feature_id 9 batch_size 39 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.3630385763107139 subsets 16,3547,9,39,str\(\'KL\'\),1,str\(\'tstat\'\),0.3630385763107139,16,0.08,5,0,None,i7182,5,633.64453125,633.4427083333334,-1,0,4676872
1745473187,1745473200,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 271 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.43899575613291414 subsets 1,271,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.43899575613291414,1,None,None,1,None,i7180,,,,,,4677276
1745473957,1745473970,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2944 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.41903759607220925 subsets 1,2944,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.41903759607220925,1,None,None,1,None,i7178,,,,,,4677780
1745474838,1745474851,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 71,5000,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,71,None,None,1,None,i7176,,,,,,4678361
1745475657,1745475670,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 1494 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.009354486608580626 subsets 49,1,9,1494,str\(\'H\'\),1,str\(\'tstat\'\),0.009354486608580626,49,0.08,4,0,None,i7181,4,632.8828125,632.6888020833334,-1,0,4678822
1745476128,1745476148,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 497 feature_id 9 batch_size 4668 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 11,497,9,4668,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,11,0.08,4,0,None,i7186,4,634.6171875,634.41796875,-1,0,4679060
1745476960,1745476980,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1426 feature_id 9 batch_size 4695 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 30,1426,9,4695,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,30,0.08,5,0,None,i7186,5,633.80078125,633.6354166666666,-1,0,4679477
1745477539,1745477559,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4448 feature_id 9 batch_size 4398 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.933676076412909 subsets 46,4448,9,4398,str\(\'H\'\),1,str\(\'tstat\'\),0.933676076412909,46,0.08,5,0,None,i7185,5,633.7265625,633.515625,-1,0,4679820
1745478419,1745478432,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 68,1,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,68,None,None,1,None,i7182,,,,,,4680376
1745479098,1745479112,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 64,5000,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,64,None,None,1,None,i7185,,,,,,4680774
1745479899,1745479919,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3803 feature_id 9 batch_size 998 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.6234859012052311 subsets 32,3803,9,998,str\(\'KL\'\),1,str\(\'tstat\'\),0.6234859012052311,32,0.08,6,0,None,i7182,6,633.51171875,633.3177083333334,-1,0,4681252
1745480568,1745480588,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4210 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.4034599903626969 subsets 100,4210,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.4034599903626969,100,None,None,1,None,i7181,,,,,,4682228
1745481742,1745481762,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1416 feature_id 9 batch_size 4190 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 45,1416,9,4190,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,45,0.08,3,0,None,i7178,3,633.9609375,633.25390625,-1,0,4682683
1745482582,1745482595,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3578 feature_id 9 batch_size 321 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 18,3578,9,321,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,18,0.08,4,0,None,i7186,4,633.359375,633.1549479166666,-1,0,4682968
1745483844,1745483863,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 875 feature_id 9 batch_size 805 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 90,875,9,805,str\(\'H\'\),2,str\(\'stdev\'\),0.001,90,0.08,8,0,None,i7178,8,634.3984375,634.11328125,-1,0,4683389
1745485557,1745485570,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2013 feature_id 9 batch_size 1674 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 88,2013,9,1674,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,88,0.08,3,0,None,i7183,3,635.01171875,634.8203125,-1,0,4683966
1745485919,1745485989,70,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1606 feature_id 9 batch_size 2683 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 10,1606,9,2683,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,10,0.08,3,0,None,i7181,3,633.546875,633.3723958333334,-1,0,4684086
1745486339,1745486359,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,5000,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,100,None,None,1,None,i7183,,,,,,4684228
1745486880,1745486893,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 60,1,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,60,None,None,1,None,i7182,,,,,,4684417
1745487722,1745487736,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4218 feature_id 9 batch_size 5000 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.5290460516464405 subsets 51,4218,9,5000,str\(\'KL\'\),2,str\(\'tstat\'\),0.5290460516464405,51,0.08,4,0,None,i7182,4,634.27734375,634.0651041666666,-1,0,4684699
1745488323,1745488337,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3010 feature_id 9 batch_size 2880 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.5191287773978877 subsets 64,3010,9,2880,str\(\'KL\'\),2,str\(\'stdev\'\),0.5191287773978877,64,0.08,3,0,None,i7182,3,633.7734375,633.6184895833334,-1,0,4684901
1745488985,1745488998,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3408 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.46345139784394024 subsets 63,3408,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.46345139784394024,63,None,None,1,None,i7181,,,,,,4685128
1745489827,1745489847,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1849 feature_id 14 batch_size 517 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 68,1849,14,517,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,68,0.06,5,0,None,i7186,5,633.9765625,633.66796875,-1,0,4685401
1745490524,1745490544,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 66,1,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,66,None,None,1,None,i7186,,,,,,4685634
1745491122,1745491142,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 100,5000,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,100,None,None,1,None,i7186,,,,,,4685835
1745491849,1745491875,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,100,None,None,1,None,i7186,,,,,,4686074
1745492649,1745492675,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 523 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 53,5000,9,523,str\(\'H\'\),1,str\(\'tstat\'\),0.001,53,0.08,5,0,None,i7183,5,633.9296875,633.7174479166666,-1,0,4686339
1745493623,1745493643,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 895 feature_id 9 batch_size 4340 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 88,895,9,4340,str\(\'H\'\),1,str\(\'stdev\'\),0.999,88,0.08,7,0,None,i7180,7,634.07421875,633.92578125,-1,0,4686671
1745494555,1745494574,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1177 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 72,1177,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,72,None,None,1,None,i7176,,,,,,4686972
1745495280,1745495293,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1668 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 66,1668,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,66,None,None,1,None,i7182,,,,,,4687217
1745496082,1745496095,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4359 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 51,4359,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,51,None,None,1,None,i7181,,,,,,4687493
1745496927,1745496940,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3818 feature_id 9 batch_size 791 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 56,3818,9,791,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,56,0.08,4,0,None,i7176,4,633.6953125,633.4622395833334,-1,0,4687781
1745497828,1745497841,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 867 feature_id 9 batch_size 3575 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 14,867,9,3575,str\(\'H\'\),3,str\(\'tstat\'\),0.001,14,0.08,4,0,None,i7186,4,633.7265625,633.5572916666666,-1,0,4688073
1745498666,1745498685,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2934 feature_id 9 batch_size 1841 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 78,2934,9,1841,str\(\'H\'\),1,str\(\'tstat\'\),0.999,78,0.08,6,0,None,i7175,6,633.98046875,633.7838541666666,-1,0,4688361
1745499126,1745499151,25,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 113 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 84,113,9,1,str\(\'H\'\),3,str\(\'stdev\'\),0.999,84,0.08,6,0,None,i7175,6,632.90625,631.8684895833334,-1,0,4688733
1745499942,1745499956,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1595 feature_id 9 batch_size 4698 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 99,1595,9,4698,str\(\'H\'\),2,str\(\'tstat\'\),0.001,99,0.08,3,0,None,i7183,3,632.953125,632.8046875,-1,0,4689166
1745500797,1745500818,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2668 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 59,2668,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,59,None,None,1,None,i7186,,,,,,4689504
1745501943,1745501957,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1048 feature_id 9 batch_size 1744 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 57,1048,9,1744,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,57,0.08,4,0,None,i7186,4,634.53515625,634.265625,-1,0,4689984
1745502646,1745502661,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3539 feature_id 9 batch_size 3595 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 45,3539,9,3595,str\(\'H\'\),2,str\(\'stdev\'\),0.999,45,0.08,4,0,None,i7182,4,633.08203125,632.8736979166666,-1,0,4690366
1745503604,1745503617,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 3145 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 51,1,9,3145,str\(\'H\'\),3,str\(\'stdev\'\),0.999,51,0.08,3,0,None,i7181,3,634.05859375,633.8763020833334,-1,0,4690869
1745504304,1745504318,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2197 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,2197,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7181,,,,,,4691249
1745505130,1745505149,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 630 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 43,5000,9,630,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,43,0.08,4,0,None,i7176,4,634.6484375,634.421875,-1,0,4691710
1745505865,1745505885,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 100,5000,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,100,None,None,1,None,i7182,,,,,,4692080
1745506799,1745506819,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1703 feature_id 9 batch_size 2578 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 48,1703,9,2578,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,48,0.08,4,0,None,i7185,4,632.9375,632.76953125,-1,0,4692587
1745507490,1745507510,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 3492 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 14,1,9,3492,str\(\'H\'\),2,str\(\'tstat\'\),0.001,14,0.08,4,0,None,i7185,4,634.21484375,634.0299479166666,-1,0,4692974
1745508472,1745508486,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 473 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 56,473,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,56,None,None,1,None,i7176,,,,,,4693574
1745509259,1745509279,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4580 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 67,4580,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,67,None,None,1,None,i7185,,,,,,4693983
1745510025,1745510039,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 3208 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 39,1,9,3208,str\(\'H\'\),2,str\(\'stdev\'\),0.999,39,0.08,3,0,None,i7182,3,634.4609375,634.2942708333334,-1,0,4694367
1745510729,1745510742,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3062 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.4167804731466293 subsets 63,3062,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.4167804731466293,63,None,None,1,None,i7185,,,,,,4694733
1745511865,1745511878,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2226 feature_id 9 batch_size 236 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 72,2226,9,236,str\(\'H\'\),3,str\(\'tstat\'\),0.999,72,0.08,4,0,None,i7175,4,633.70703125,633.4674479166666,-1,0,4695324
1745512586,1745512600,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 176 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 68,176,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,68,None,None,1,None,i7181,,,,,,4695695
1745513518,1745513532,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1562 feature_id 9 batch_size 4584 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1562,9,4584,str\(\'H\'\),2,str\(\'stdev\'\),0.999,1,0.08,3,0,None,i7180,3,633.55078125,633.33984375,-1,0,4696210
1745514535,1745514555,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.5004939749423296 subsets 61,1,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.5004939749423296,61,None,None,1,None,i7180,,,,,,4696693
1745515266,1745515286,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 300 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 95,300,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,95,None,None,1,None,i7183,,,,,,4697069
1745515921,1745515940,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4884 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.18277873039179834 subsets 67,4884,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.18277873039179834,67,None,None,1,None,i7176,,,,,,4697431
1745516641,1745516661,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 1208 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 48,1,9,1208,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,48,0.08,5,0,None,i7185,5,633.64453125,633.3619791666666,-1,0,4697791
1745517309,1745517323,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 478 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.4744609686156553 subsets 55,478,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.4744609686156553,55,None,None,1,None,i7183,,,,,,4698102
1745517959,1745517973,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2037 feature_id 9 batch_size 3428 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.48245133859343636 subsets 63,2037,9,3428,str\(\'H\'\),2,str\(\'tstat\'\),0.48245133859343636,63,0.08,3,0,None,i7181,3,634.359375,634.1536458333334,-1,0,4698403
1745518530,1745518544,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1058 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.4491373066936225 subsets 57,1058,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.4491373066936225,57,None,None,1,None,i7186,,,,,,4698644
1745519189,1745519209,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 5000 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 81,5000,9,5000,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,81,0.08,6,0,None,i7183,6,633.34375,633.1966145833334,-1,0,4698955
1745519914,1745519934,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3292 feature_id 9 batch_size 4034 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 11,3292,9,4034,str\(\'H\'\),3,str\(\'stdev\'\),0.001,11,0.08,5,0,None,i7182,5,633.08984375,632.9036458333334,-1,0,4699301
1745520453,1745520509,56,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2755 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5026392304931149 subsets 71,2755,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.5026392304931149,71,None,None,1,None,i7175,,,,,,4699589
1745521081,1745521101,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 539 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.5245374054427989 subsets 11,539,9,1,str\(\'KL\'\),2,str\(\'tstat\'\),0.5245374054427989,11,0.08,10,0,None,i7186,10,634.73046875,634.4205729166666,-1,0,4699903
1745521672,1745521685,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4737 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.5320151119356576 subsets 63,4737,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.5320151119356576,63,None,None,1,None,i7181,,,,,,4700229
1745522342,1745522355,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3230 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.4866490836641056 subsets 48,3230,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.4866490836641056,48,None,None,1,None,i7185,,,,,,4700568
1745523062,1745523082,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4054 feature_id 9 batch_size 549 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.5024165429609504 subsets 90,4054,9,549,str\(\'H\'\),3,str\(\'tstat\'\),0.5024165429609504,90,0.08,4,0,None,i7180,4,634.3046875,634.04296875,-1,0,4700938
1745523602,1745523622,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2730 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.49665187040510933 subsets 66,2730,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.49665187040510933,66,None,None,1,None,i7180,,,,,,4701233
1745524513,1745524533,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2088 feature_id 9 batch_size 3578 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 79,2088,9,3578,str\(\'H\'\),1,str\(\'tstat\'\),0.999,79,0.08,6,0,None,i7176,6,633.7109375,633.5104166666666,-1,0,4701747
1745525291,1745525304,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 4488 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,9,4488,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,1,0.08,3,0,None,i7183,3,633.90625,633.6901041666666,-1,0,4702135
1745525941,1745525955,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4156 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 64,4156,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,64,None,None,1,None,i7185,,,,,,4702461
1745526690,1745526704,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 2946 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 54,1,9,2946,str\(\'H\'\),1,str\(\'tstat\'\),0.001,54,0.08,4,0,None,i7176,4,633.41796875,633.2291666666666,-1,0,4702814
1745527493,1745527506,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3194 feature_id 9 batch_size 4717 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 74,3194,9,4717,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,74,0.08,3,0,None,i7182,3,633.75390625,633.5651041666666,-1,0,4703187
1745528352,1745528366,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 3469 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 37,5000,9,3469,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,37,0.08,4,0,None,i7182,4,633.8984375,633.703125,-1,0,4703596
1745528891,1745528911,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 5000 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5008180087611849 subsets 1,1,9,5000,str\(\'KL\'\),1,str\(\'stdev\'\),0.5008180087611849,1,0.08,6,0,None,i7180,6,633.8515625,633.7473958333334,-1,0,4703866
1745529274,1745529294,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 100,5000,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,100,None,None,1,None,i7181,,,,,,4704057
1745530234,1745530254,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 575 feature_id 9 batch_size 884 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 19,575,9,884,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,19,0.08,4,0,None,i7181,4,633.96484375,633.6510416666666,-1,0,4704520
1745531312,1745531332,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1544 feature_id 9 batch_size 1633 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 86,1544,9,1633,str\(\'H\'\),1,str\(\'tstat\'\),0.999,86,0.08,7,0,None,i7183,7,635.171875,634.9583333333334,-1,0,4705027
1745532252,1745532265,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7183,,,,,,4705467
1745533083,1745533097,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3129 feature_id 9 batch_size 4615 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.4769710006874815 subsets 63,3129,9,4615,str\(\'H\'\),2,str\(\'tstat\'\),0.4769710006874815,63,0.08,3,0,None,i7180,3,633.3359375,633.1627604166666,-1,0,4705910
1745533732,1745533746,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4383 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.4715954047859797 subsets 69,4383,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.4715954047859797,69,None,None,1,None,i7180,,,,,,4706236
1745534614,1745534633,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4579 feature_id 9 batch_size 2564 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 13,4579,9,2564,str\(\'H\'\),3,str\(\'stdev\'\),0.999,13,0.08,4,0,None,i7185,4,633.234375,633.0338541666666,-1,0,4706658
1745535454,1745535473,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 3206 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 85,5000,9,3206,str\(\'H\'\),2,str\(\'stdev\'\),0.999,85,0.08,4,0,None,i7185,4,633.63671875,633.46875,-1,0,4707074
1745536412,1745536426,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4593 feature_id 9 batch_size 3260 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 89,4593,9,3260,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,89,0.08,3,0,None,i7181,3,633.15625,632.984375,-1,0,4707529
1745537163,1745537176,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3579 feature_id 9 batch_size 4293 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.497570405724526 subsets 13,3579,9,4293,str\(\'H\'\),2,str\(\'stdev\'\),0.497570405724526,13,0.08,3,0,None,i7181,3,633.953125,633.7838541666666,-1,0,4707887
1745537934,1745537948,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 321 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5588526671258316 subsets 71,321,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.5588526671258316,71,None,None,1,None,i7180,,,,,,4708299
1745538594,1745538613,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3669 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.578798623758129 subsets 100,3669,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.578798623758129,100,None,None,1,None,i7181,,,,,,4708619
1745539313,1745539333,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 100,5000,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,100,None,None,1,None,i7183,,,,,,4708956
1745540104,1745540118,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 805 feature_id 9 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.60154368165623 subsets 12,805,9,5000,str\(\'KL\'\),3,str\(\'stdev\'\),0.60154368165623,12,0.08,3,0,None,i7186,3,633.1328125,632.9765625,-1,0,4709324
1745540794,1745540814,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3323 feature_id 9 batch_size 540 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.2734870808056779 subsets 84,3323,9,540,str\(\'H\'\),1,str\(\'stdev\'\),0.2734870808056779,84,0.08,9,0,None,i7183,9,634.72265625,634.5729166666666,-1,0,4709624
1745541774,1745541788,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1729 feature_id 9 batch_size 2387 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.5984296323379061 subsets 71,1729,9,2387,str\(\'H\'\),2,str\(\'tstat\'\),0.5984296323379061,71,0.08,4,0,None,i7180,4,633.22265625,633.0546875,-1,0,4710106
1745542954,1745542967,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4467 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 67,4467,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,67,None,None,1,None,i7182,,,,,,4710673
1745543827,1745543846,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1991 feature_id 9 batch_size 4309 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 29,1991,9,4309,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,29,0.08,4,0,None,i7181,4,633.921875,633.7109375,-1,0,4711111
1745544575,1745544588,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 824 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 74,824,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,74,None,None,1,None,i7185,,,,,,4711470
1745545335,1745545348,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4501 feature_id 9 batch_size 4784 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.5011042735361759 subsets 37,4501,9,4784,str\(\'H\'\),3,str\(\'tstat\'\),0.5011042735361759,37,0.08,3,0,None,i7183,3,633.625,633.4296875,-1,0,4711805
1745545955,1745545969,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 677 feature_id 9 batch_size 2258 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.5287882161973891 subsets 36,677,9,2258,str\(\'H\'\),2,str\(\'tstat\'\),0.5287882161973891,36,0.08,3,0,None,i7181,3,634.48828125,634.3216145833334,-1,0,4712130
1745546915,1745546929,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 246 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 64,246,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,64,None,None,1,None,i7181,,,,,,4712606
1745547895,1745547908,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3498 feature_id 9 batch_size 2340 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 90,3498,9,2340,str\(\'H\'\),2,str\(\'tstat\'\),0.999,90,0.08,3,0,None,i7186,3,633.7109375,633.54296875,-1,0,4713082
1745548748,1745548768,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1203 feature_id 9 batch_size 3776 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 15,1203,9,3776,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,15,0.08,5,0,None,i7186,5,632.9765625,632.7721354166666,-1,0,4713468
1745549592,1745549611,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1755 feature_id 9 batch_size 216 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.5035277342460155 subsets 10,1755,9,216,str\(\'H\'\),3,str\(\'stdev\'\),0.5035277342460155,10,0.08,5,0,None,i7185,5,632.88671875,632.6640625,-1,0,4713849
1745550436,1745550450,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 3085 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 12,1,9,3085,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,12,0.08,3,0,None,i7180,3,633.54296875,633.3932291666666,-1,0,4714240
1745551266,1745551279,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 769 feature_id 9 batch_size 1871 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 69,769,9,1871,str\(\'H\'\),3,str\(\'stdev\'\),0.001,69,0.08,4,0,None,i7178,4,634.6953125,634.4908854166666,-1,0,4714627
1745552136,1745552150,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2749 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 66,2749,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,66,None,None,1,None,i7183,,,,,,4715029
1745553157,1745553171,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2479 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.8787666409726153 subsets 70,2479,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.8787666409726153,70,None,None,1,None,i7183,,,,,,4715501
1745553918,1745553931,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3126 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.020865087759160395 subsets 73,3126,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.020865087759160395,73,None,None,1,None,i7183,,,,,,4715856
1745554517,1745554537,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1999 feature_id 9 batch_size 1366 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 65,1999,9,1366,str\(\'H\'\),1,str\(\'stdev\'\),0.999,65,0.08,6,0,None,i7183,6,634.53515625,634.36328125,-1,0,4716153
1745555078,1745555091,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1200 feature_id 9 batch_size 3977 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 87,1200,9,3977,str\(\'H\'\),2,str\(\'stdev\'\),0.001,87,0.08,3,0,None,i7181,3,633.98046875,633.8138020833334,-1,0,4716429
1745555937,1745555950,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3734 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.5222541048564953 subsets 73,3734,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.5222541048564953,73,None,None,1,None,i7183,,,,,,4716852
1745557078,1745557091,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 71,1,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,71,None,None,1,None,i7182,,,,,,4717360
1745557840,1745557853,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3331 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 58,3331,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,58,None,None,1,None,i7180,,,,,,4717704
1745558863,1745558882,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 3919 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 50,1,9,3919,str\(\'H\'\),3,str\(\'tstat\'\),0.001,50,0.08,3,0,None,i7178,3,634.1953125,634.0078125,-1,0,4718161
1745559781,1745559801,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7178,,,,,,4718563
1745560800,1745560820,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 375 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,9,375,str\(\'H\'\),3,str\(\'stdev\'\),0.001,1,0.08,5,0,None,i7185,5,634.234375,634.0794270833334,-1,0,4719018
1745561800,1745561820,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 100,1,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,100,None,None,1,None,i7182,,,,,,4719452
1745562840,1745562860,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 478 feature_id 9 batch_size 2159 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.49383677157838335 subsets 31,478,9,2159,str\(\'KL\'\),3,str\(\'tstat\'\),0.49383677157838335,31,0.08,4,0,None,i7185,4,633.421875,633.234375,-1,0,4719915
1745563679,1745563693,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4264 feature_id 9 batch_size 4789 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.390132920837054 subsets 90,4264,9,4789,str\(\'H\'\),3,str\(\'stdev\'\),0.390132920837054,90,0.08,3,0,None,i7181,3,633.03515625,632.8268229166666,-1,0,4720311
1745564740,1745564753,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3513 feature_id 9 batch_size 599 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.5322579980838769 subsets 15,3513,9,599,str\(\'KL\'\),3,str\(\'stdev\'\),0.5322579980838769,15,0.08,4,0,None,i7181,4,633.09375,632.8684895833334,-1,0,4720839
1745565432,1745565445,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3932 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5429437571783213 subsets 65,3932,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.5429437571783213,65,None,None,1,None,i7180,,,,,,4721194
1745566381,1745566394,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4476 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,4476,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7182,,,,,,4721636
1745567592,1745567605,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 511 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 72,511,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,72,None,None,1,None,i7185,,,,,,4722158
1745568491,1745568510,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2204 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 100,2204,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,100,None,None,1,None,i7183,,,,,,4722562
1745569264,1745569291,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 4705 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1,9,4705,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,1,0.08,9,0,None,i7186,9,634.05078125,633.8580729166666,-1,0,4722894
1745570111,1745570124,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2509 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.9989999999999999 subsets 1,2509,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.9989999999999999,1,None,None,1,None,i7186,,,,,,4723284
1745570893,1745570912,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2156 feature_id 9 batch_size 2707 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.6678678410101215 subsets 12,2156,9,2707,str\(\'KL\'\),2,str\(\'tstat\'\),0.6678678410101215,12,0.08,4,0,None,i7185,4,634.34375,634.1666666666666,-1,0,4723645
1745571648,1745571661,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4388 feature_id 9 batch_size 1591 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.5008130128693712 subsets 11,4388,9,1591,str\(\'KL\'\),1,str\(\'tstat\'\),0.5008130128693712,11,0.08,4,0,None,i7181,4,633.5859375,633.4010416666666,-1,0,4723963
1745573002,1745573022,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3068 feature_id 9 batch_size 3357 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 71,3068,9,3357,str\(\'H\'\),3,str\(\'tstat\'\),0.999,71,0.08,4,0,None,i7185,4,634.11328125,633.93359375,-1,0,4724536
1745574301,1745574314,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2341 feature_id 9 batch_size 1147 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 72,2341,9,1147,str\(\'H\'\),3,str\(\'stdev\'\),0.999,72,0.08,4,0,None,i7181,4,634.171875,633.9674479166666,-1,0,4725138
1745575152,1745575165,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 375 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.5455743936549423 subsets 37,1,9,375,str\(\'KL\'\),1,str\(\'tstat\'\),0.5455743936549423,37,0.08,4,0,None,i7180,4,634.01953125,633.7942708333334,-1,0,4725541
1745576461,1745576475,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4751 feature_id 9 batch_size 2945 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.4193109429277725 subsets 20,4751,9,2945,str\(\'H\'\),2,str\(\'stdev\'\),0.4193109429277725,20,0.08,3,0,None,i7183,3,634.47265625,634.29296875,-1,0,4726109
1745577788,1745577814,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1800 feature_id 9 batch_size 1618 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1800,9,1618,str\(\'H\'\),2,str\(\'tstat\'\),0.999,100,0.08,11,0,None,i7182,11,634.06640625,633.83203125,-1,0,4726681
1745578841,1745578854,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1921 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 25,5000,9,1921,str\(\'H\'\),3,str\(\'tstat\'\),0.999,25,0.08,3,0,None,i7170,3,633.109375,632.91796875,-1,0,4727184
1745579803,1745579817,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4484 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.6613513600582762 subsets 60,4484,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.6613513600582762,60,None,None,1,None,i7185,,,,,,4727606
1745580743,1745580756,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3390 feature_id 9 batch_size 1432 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.5551648386930864 subsets 29,3390,9,1432,str\(\'KL\'\),3,str\(\'tstat\'\),0.5551648386930864,29,0.08,3,0,None,i7182,3,633.0859375,632.8580729166666,-1,0,4728019
1745581583,1745581596,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 842 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 67,842,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,67,None,None,1,None,i7185,,,,,,4728374
1745582463,1745582476,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1438 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.4774915741214854 subsets 71,1438,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.4774915741214854,71,None,None,1,None,i7182,,,,,,4728756
1745583313,1745583332,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2803 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.4508488135678978 subsets 100,2803,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.4508488135678978,100,None,None,1,None,i7181,,,,,,4729137
1745584142,1745584156,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1650 feature_id 9 batch_size 3867 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.4901377043851367 subsets 39,1650,9,3867,str\(\'KL\'\),1,str\(\'stdev\'\),0.4901377043851367,39,0.08,4,0,None,i7183,4,634.03125,633.8815104166666,-1,0,4729504
1745584983,1745585003,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3340 feature_id 9 batch_size 3658 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 84,3340,9,3658,str\(\'H\'\),1,str\(\'tstat\'\),0.001,84,0.08,7,0,None,i7181,7,633.4453125,633.2239583333334,-1,0,4729872
1745586123,1745586137,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 62,5000,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,62,None,None,1,None,i7180,,,,,,4730378
1745587585,1745587598,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3131 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 59,3131,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,59,None,None,1,None,i7186,,,,,,4731027
1745588448,1745588468,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 72,5000,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,72,None,None,1,None,i7186,,,,,,4731381
1745589314,1745589334,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 100,5000,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,100,None,None,1,None,i7185,,,,,,4731751
1745590085,1745590098,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2935 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 66,2935,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,66,None,None,1,None,i7183,,,,,,4732071
1745591005,1745591018,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 59,5000,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,59,None,None,1,None,i7183,,,,,,4732442
1745591866,1745591886,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4857 feature_id 9 batch_size 1588 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 11,4857,9,1588,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,11,0.08,5,0,None,i7186,5,634.55078125,634.3528645833334,-1,0,4732777
1745592926,1745592939,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2404 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 76,2404,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,76,None,None,1,None,i7185,,,,,,4733195
1745594166,1745594179,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 63,1,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,63,None,None,1,None,i7181,,,,,,4733737
1745595066,1745595079,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7181,,,,,,4734116
1745596457,1745596478,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4397 feature_id 9 batch_size 848 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 40,4397,9,848,str\(\'H\'\),1,str\(\'stdev\'\),0.001,40,0.08,7,0,None,i7186,7,633.42578125,633.2708333333334,-1,0,4734744
1745597552,1745597565,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 89 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 71,89,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,71,None,None,1,None,i7176,,,,,,4735200
1745598768,1745598781,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2135 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 53,2135,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,53,None,None,1,None,i7185,,,,,,4735680
1745599710,1745599723,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3967 feature_id 9 batch_size 3833 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 72,3967,9,3833,str\(\'H\'\),3,str\(\'tstat\'\),0.001,72,0.08,3,0,None,i7176,3,634.3984375,634.1953125,-1,0,4736070
1745600489,1745600502,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 223 feature_id 9 batch_size 338 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 60,223,9,338,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,60,0.08,4,0,None,i7181,4,633.98046875,633.6692708333334,-1,0,4736400
1745601647,1745601661,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4485 feature_id 9 batch_size 4736 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 91,4485,9,4736,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,91,0.08,4,0,None,i7180,4,634.47265625,634.28515625,-1,0,4736849
1745602530,1745602544,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 471 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.3479194126781392 subsets 65,471,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.3479194126781392,65,None,None,1,None,i7185,,,,,,4737201
1745603649,1745603669,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1935 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 100,5000,9,1935,str\(\'H\'\),2,str\(\'tstat\'\),0.999,100,0.08,11,0,None,i7181,11,634.6484375,634.41015625,-1,0,4737659
1745604930,1745604943,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1221 feature_id 9 batch_size 2645 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 86,1221,9,2645,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,86,0.08,4,0,None,i7180,4,633.13671875,632.9739583333334,-1,0,4738235
1745605790,1745605809,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2466 feature_id 9 batch_size 1027 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 90,2466,9,1027,str\(\'H\'\),3,str\(\'stdev\'\),0.999,90,0.08,4,0,None,i7185,4,634.1484375,633.97265625,-1,0,4738609
1745607070,1745607084,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7185,,,,,,4739137
1745607971,1745607984,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3254 feature_id 9 batch_size 3281 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 13,3254,9,3281,str\(\'H\'\),3,str\(\'tstat\'\),0.999,13,0.08,4,0,None,i7176,4,632.9609375,632.78125,-1,0,4739504
1745609269,1745609282,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 3889 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 10,5000,9,3889,str\(\'H\'\),2,str\(\'tstat\'\),0.999,10,0.08,3,0,None,i7181,3,634.25390625,634.1080729166666,-1,0,4740067
1745610651,1745610664,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1682 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 56,1682,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,56,None,None,1,None,i7186,,,,,,4741248
1745611825,1745611845,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 826 feature_id 9 batch_size 952 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 3,826,9,952,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,3,0.08,5,0,None,i7185,5,634.3046875,634.0768229166666,-1,0,4742011
1745612411,1745612424,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 339 feature_id 9 batch_size 1200 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 11,339,9,1200,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,11,0.08,3,0,None,i7181,3,633.33203125,633.1263020833334,-1,0,4742392
1745613732,1745613745,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 52,5000,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,52,None,None,1,None,i7181,,,,,,4742964
1745614873,1745614893,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 4583 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 37,1,9,4583,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,37,0.08,4,0,None,i7185,4,634.0390625,633.8229166666666,-1,0,4743421
1745615634,1745615654,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 4356 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 100,5000,9,4356,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,100,0.08,4,0,None,i7181,4,633.0234375,632.8372395833334,-1,0,4743760
1745616871,1745616922,51,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 4733 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 46,5000,9,4733,str\(\'H\'\),2,str\(\'tstat\'\),0.001,46,0.08,4,0,None,i7178,4,633.44140625,633.06640625,-1,0,4744273
1745617972,1745617985,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4831 feature_id 9 batch_size 2599 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.3744190197339219 subsets 100,4831,9,2599,str\(\'H\'\),3,str\(\'stdev\'\),0.3744190197339219,100,0.08,3,0,None,i7175,3,633.26953125,633.1015625,-1,0,4744702
1745619206,1745619220,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 63,5000,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,63,None,None,1,None,i7185,,,,,,4745217
1745620014,1745620028,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1331 feature_id 9 batch_size 189 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.6175058358017383 subsets 56,1331,9,189,str\(\'H\'\),1,str\(\'stdev\'\),0.6175058358017383,56,0.08,4,0,None,i7183,4,634.09765625,633.9231770833334,-1,0,4745545
1745620832,1745620845,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4396 feature_id 9 batch_size 1864 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.6694117661799555 subsets 64,4396,9,1864,str\(\'KL\'\),1,str\(\'stdev\'\),0.6694117661799555,64,0.08,5,0,None,i7183,5,633.55859375,633.4010416666666,-1,0,4745888
1745621933,1745621947,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,None,None,1,None,i7180,,,,,,4746327
1745623253,1745623273,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 72 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 100,72,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,100,None,None,1,None,i7181,,,,,,4746893
1745624373,1745624393,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4209 feature_id 9 batch_size 3859 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 72,4209,9,3859,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,72,0.08,5,0,None,i7186,5,634.26171875,634.1184895833334,-1,0,4747349
1745625204,1745625224,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 44,5000,9,1,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,44,0.08,8,0,None,i7178,8,634.39453125,634.1901041666666,-1,0,4747691
1745626513,1745626526,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4572 feature_id 9 batch_size 2801 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 100,4572,9,2801,str\(\'H\'\),2,str\(\'tstat\'\),0.001,100,0.08,3,0,None,i7181,3,632.8984375,632.7005208333334,-1,0,4748209
1745627696,1745627716,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 2686 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 92,5000,9,2686,str\(\'H\'\),3,str\(\'stdev\'\),0.999,92,0.08,5,0,None,i7186,5,634.21875,634.03515625,-1,0,4748662
1745628494,1745628507,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4125 feature_id 9 batch_size 4758 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.6676322963742056 subsets 51,4125,9,4758,str\(\'KL\'\),1,str\(\'stdev\'\),0.6676322963742056,51,0.08,4,0,None,i7183,4,633.359375,633.22265625,-1,0,4748985
1745629636,1745629649,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4513 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.4755420141689495 subsets 1,4513,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.4755420141689495,1,None,None,1,None,i7185,,,,,,4749447
1745630955,1745630975,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1376 feature_id 9 batch_size 2251 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1376,9,2251,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,1,0.08,6,0,None,i7183,6,634.23046875,634.1223958333334,-1,0,4749963
1745632355,1745632368,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 72,5000,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,72,None,None,1,None,i7181,,,,,,4750520
1745633835,1745633854,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3076 feature_id 9 batch_size 1703 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 87,3076,9,1703,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,87,0.08,7,0,None,i7183,7,633.265625,632.9635416666666,-1,0,4751099
1745635115,1745635128,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2843 feature_id 9 batch_size 4742 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.5205779627370716 subsets 7,2843,9,4742,str\(\'H\'\),3,str\(\'stdev\'\),0.5205779627370716,7,0.08,3,0,None,i7183,3,633.9375,633.75390625,-1,0,4751566
1745636375,1745636395,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 100,1,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,100,None,None,1,None,i7181,,,,,,4752049
1745637416,1745637429,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 400 feature_id 9 batch_size 5000 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.36054557781316715 subsets 73,400,9,5000,str\(\'H\'\),2,str\(\'tstat\'\),0.36054557781316715,73,0.08,4,0,None,i7186,4,632.92578125,632.75,-1,0,4752447
1745638347,1745638360,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,None,None,1,None,i7180,,,,,,4752825
1745639546,1745639566,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 681 feature_id 9 batch_size 412 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 29,681,9,412,str\(\'H\'\),2,str\(\'tstat\'\),0.001,29,0.08,5,0,None,i7180,5,634.18359375,633.8346354166666,-1,0,4753351
1745640317,1745640336,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 556 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.06296926618703264 subsets 100,556,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.06296926618703264,100,None,None,1,None,i7183,,,,,,4753660
1745641397,1745641410,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1022 feature_id 9 batch_size 5000 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 90,1022,9,5000,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,90,0.08,4,0,None,i7178,4,633.046875,632.87109375,-1,0,4754084
1745642476,1745642490,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4259 feature_id 9 batch_size 1442 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.0032273693324843446 subsets 65,4259,9,1442,str\(\'KL\'\),3,str\(\'stdev\'\),0.0032273693324843446,65,0.08,3,0,None,i7183,3,634.2265625,634.0416666666666,-1,0,4754517
1745643717,1745643737,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.9496563499728344 subsets 100,1,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.9496563499728344,100,None,None,1,None,i7183,,,,,,4754998
1745644697,1745644711,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.9984398965878167 subsets 1,5000,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.9984398965878167,1,None,None,1,None,i7185,,,,,,4755364
1745645737,1745645756,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1987 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 100,1987,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,100,None,None,1,None,i7181,,,,,,4755769
1745647037,1745647051,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 71,1,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,71,None,None,1,None,i7180,,,,,,4756263
1745648187,1745648200,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,None,None,1,None,i7180,,,,,,4756698
1745649198,1745649217,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3989 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 100,3989,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,100,None,None,1,None,i7180,,,,,,4757096
1745650260,1745650273,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3471 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 62,3471,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,62,None,None,1,None,i7178,,,,,,4757530
1745651368,1745651387,19,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 100,1,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,100,None,None,1,None,i7181,,,,,,4757967
1745652583,1745652596,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 2037 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 86,5000,9,2037,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,86,0.08,4,0,None,i7186,4,633.3515625,633.1770833333334,-1,0,4758425
1745653678,1745653691,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.9004272261505398 subsets 1,1,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.9004272261505398,1,None,None,1,None,i7183,,,,,,4758831
1745655220,1745655233,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 620 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 26,620,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,26,None,None,1,None,i7178,,,,,,4759393
1745656289,1745656309,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4648 feature_id 9 batch_size 2733 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 57,4648,9,2733,str\(\'H\'\),1,str\(\'tstat\'\),0.001,57,0.08,5,0,None,i7185,5,633.9375,633.7213541666666,-1,0,4759788
1745657360,1745657374,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 46,1,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,46,None,None,1,None,i7180,,,,,,4760179
1745658541,1745658555,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2941 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 68,2941,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,68,None,None,1,None,i7181,,,,,,4760611
1745659539,1745659559,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 100,1,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,100,None,None,1,None,i7185,,,,,,4760983
1745660679,1745660693,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1191 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 72,1191,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,72,None,None,1,None,i7186,,,,,,4761433
1745661780,1745661793,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3678 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 69,3678,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,69,None,None,1,None,i7178,,,,,,4761875
1745662940,1745662960,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 4277 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 75,5000,9,4277,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,75,0.08,6,0,None,i7183,6,633.375,633.17578125,-1,0,4762333
1745663911,1745663931,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4654 feature_id 9 batch_size 1759 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,4654,9,1759,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,0.08,8,0,None,i7185,8,632.8671875,632.7213541666666,-1,0,4762716
1745664920,1745664933,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 867 feature_id 9 batch_size 3377 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.6990498621975723 subsets 39,867,9,3377,str\(\'H\'\),1,str\(\'tstat\'\),0.6990498621975723,39,0.08,4,0,None,i7176,4,634.5625,634.3736979166666,-1,0,4763105
1745666301,1745666314,13,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2673 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 69,2673,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,69,None,None,1,None,i7181,,,,,,4763604
1745667391,1745667405,14,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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1372 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 76,1372,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,76,None,None,1,None,i7185,,,,,,4764008

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/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4628070/4628070_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4629886/4629886_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4632087/4632087_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4632568/4632568_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4637093/4637093_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4637429/4637429_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4637703/4637703_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4638015/4638015_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4639989/4639989_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4640976/4640976_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4642055/4642055_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4643220/4643220_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4644118/4644118_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4644860/4644860_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4645243/4645243_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4646036/4646036_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4647215/4647215_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4648006/4648006_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4648589/4648589_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4649101/4649101_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4651001/4651001_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4651537/4651537_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4652020/4652020_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4653109/4653109_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4653590/4653590_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4654241/4654241_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4654926/4654926_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4655549/4655549_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4656510/4656510_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4657817/4657817_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4658111/4658111_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4658810/4658810_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4660474/4660474_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4661061/4661061_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4661485/4661485_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4662324/4662324_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4662739/4662739_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4663139/4663139_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4663529/4663529_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4663857/4663857_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4664186/4664186_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4665194/4665194_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4665636/4665636_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4666579/4666579_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4667196/4667196_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4667908/4667908_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4668517/4668517_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4668854/4668854_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4669122/4669122_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4669735/4669735_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4670775/4670775_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4671365/4671365_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4671875/4671875_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4672744/4672744_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4673214/4673214_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4674461/4674461_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4674921/4674921_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4676106/4676106_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4676519/4676519_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4677276/4677276_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4677780/4677780_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4678361/4678361_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4680376/4680376_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4680774/4680774_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4682228/4682228_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4684228/4684228_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4684417/4684417_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685128/4685128_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685634/4685634_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685835/4685835_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4686074/4686074_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4686972/4686972_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687217/4687217_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687493/4687493_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4689504/4689504_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4691249/4691249_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4692080/4692080_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4693574/4693574_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4693983/4693983_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4694733/4694733_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4695695/4695695_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4696693/4696693_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4697069/4697069_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4697431/4697431_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4698102/4698102_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4698644/4698644_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4699589/4699589_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4700229/4700229_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4700568/4700568_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4701233/4701233_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4702461/4702461_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4704057/4704057_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4705467/4705467_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4706236/4706236_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4708299/4708299_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4708619/4708619_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4708956/4708956_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4710673/4710673_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4711470/4711470_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4712606/4712606_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4715029/4715029_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4715501/4715501_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4715856/4715856_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4716852/4716852_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4717360/4717360_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4717704/4717704_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4718563/4718563_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4719452/4719452_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4721194/4721194_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4721636/4721636_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4722158/4722158_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4722562/4722562_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4723284/4723284_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4727606/4727606_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4728374/4728374_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4728756/4728756_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4729137/4729137_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4730378/4730378_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4731027/4731027_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4731381/4731381_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4731751/4731751_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4732071/4732071_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4732442/4732442_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4733195/4733195_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4733737/4733737_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4734116/4734116_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4735200/4735200_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4735680/4735680_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4737201/4737201_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4739137/4739137_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4741248/4741248_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4742964/4742964_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4745217/4745217_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4746327/4746327_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4746893/4746893_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4749447/4749447_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4750520/4750520_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4752049/4752049_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4752825/4752825_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4753660/4753660_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4754998/4754998_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4755364/4755364_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4755769/4755769_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4756263/4756263_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4756698/4756698_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4757096/4757096_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4757530/4757530_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4757967/4757967_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4758831/4758831_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4759393/4759393_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4760179/4760179_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4760611/4760611_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4760983/4760983_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4761433/4761433_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4761875/4761875_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4763604/4763604_0_log.err not found

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Download »oo_errors.txt« as file

Arguments Overview:

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Download »worker_usage.csv« as file

1745405770.014668,20,0,0
1745405783.247719,20,0,0
1745405784.4047246,20,0,0
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1745405908.39796,20,3,15
1745405922.8268912,20,2,10
1745405922.9097095,20,2,10
1745405923.9682257,20,2,10
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1745405987.2875803,20,4,20
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1745648175.4385977,20,2,10
1745648175.7504916,20,2,10
1745648191.937496,20,1,5
1745648193.2395375,20,1,5

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timestamp,ram_usage_mb,cpu_usage_percent
1745405769,644.421875,37.1
1745405769,644.4453125,37.3
1745405770,644.4453125,38.0
1745405770,644.4453125,40.0
1745405770,644.4453125,25.0
1745405770,644.4453125,37.3
1745405770,644.4453125,35.4
1745406335,691.18359375,40.1
1745406335,691.18359375,30.8
1745406335,691.18359375,33.1
1745406335,691.18359375,37.2
1745418838,904.95703125,34.1
1745418838,904.95703125,37.8
1745418838,904.95703125,36.8
1745418838,904.95703125,37.8
1745429638,925.7578125,33.7
1745429638,925.7578125,40.4
1745429638,925.7578125,38.5
1745429638,925.7578125,37.9
1745443940,956.9140625,40.8
1745443940,956.9140625,34.3
1745443940,956.9140625,33.1
1745443940,956.9140625,37.9
1745456079,953.80078125,33.7
1745456079,953.80078125,35.0
1745456079,953.80078125,34.1
1745456079,953.80078125,35.7
1745468751,974.01171875,36.7
1745468751,974.01171875,39.9
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1745483002,1049.75390625,31.1
1745483002,1049.75390625,36.8
1745498739,985.0234375,30.2
1745498739,985.0234375,24.0
1745498739,985.0234375,23.2
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1745529289,1086.92578125,26.0
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1745529289,1086.92578125,25.9
1745545973,1046.5546875,31.4
1745545973,1046.5546875,29.4
1745545973,1046.5546875,28.6
1745545973,1046.5546875,35.6
1745563693,1067.9453125,30.2
1745563693,1067.9453125,30.5
1745563693,1067.9453125,29.8
1745563693,1067.9453125,28.1
1745583328,1075.55078125,32.5
1745583328,1075.55078125,34.0
1745583328,1075.55078125,33.8
1745583328,1075.55078125,37.8
1745603665,1125.17578125,32.1
1745603665,1125.17578125,33.7
1745603665,1125.17578125,33.4
1745603665,1125.17578125,40.0
1745625223,1097.94921875,33.7
1745625223,1097.94921875,35.0
1745625223,1097.94921875,35.5
1745625223,1097.94921875,43.6
1745648204,1115.265625,31.3
1745648204,1115.265625,27.8
1745648204,1115.265625,28.6
1745648204,1115.265625,18.8

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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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				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 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='%23bdd3fb' d='M8 12h1'/%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: horizontal: start{
				width: 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 0h17m-1 1h1m-1 14h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 1h1'/%3E%3Cpath stroke='%23fff' d='M1 1h15M0 2h1m14 0h1M0 3h1m14 0h1M0 4h1m14 0h1M0 5h1m14 0h1M0 6h1m14 0h1M0 7h1m14 0h1M0 8h1m14 0h1M0 9h1m14 0h1M0 10h1m14 0h1M0 11h1m14 0h1M0 12h1m14 0h1M0 13h1m14 0h1M0 14h1m14 0h1M1 15h14'/%3E%3Cpath stroke='%23e6eefc' d='M1 2h1'/%3E%3Cpath stroke='%23d0dffc' d='M2 2h1M1 3h1'/%3E%3Cpath stroke='%23cad8f9' d='M3 2h1M1 4h1'/%3E%3Cpath stroke='%23c4d2f7' d='M4 2h1'/%3E%3Cpath stroke='%23c0d0f7' d='M5 2h1'/%3E%3Cpath stroke='%23bdcef7' d='M6 2h1M1 7h1'/%3E%3Cpath stroke='%23bbcdf5' d='M7 2h2'/%3E%3Cpath stroke='%23b8cbf6' d='M9 2h1M1 8h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 2h1M1 9h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 2h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 2h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 2h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 2h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 2h1'/%3E%3Cpath stroke='%23e1eafe' d='M2 3h1'/%3E%3Cpath stroke='%23dae6fe' d='M3 3h1M2 4h1'/%3E%3Cpath stroke='%23d4e1fc' d='M4 3h1M2 5h1'/%3E%3Cpath stroke='%23d1e0fd' d='M5 3h1M3 5h1'/%3E%3Cpath stroke='%23d0ddfc' d='M6 3h1M2 6h1'/%3E%3Cpath stroke='%23cedbfd' d='M7 3h1M5 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M8 3h1M4 5h1M2 7h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 3h1M6 4h1M4 6h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 3h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 3h1m-9 7h3'/%3E%3Cpath stroke='%23c2d3fc' d='M12 3h1m-2 1h1M2 10h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 3h1m-1 2h1M4 13h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 3h1M4 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 3h1'/%3E%3Cpath stroke='%23d8e3fc' d='M3 4h1'/%3E%3Cpath stroke='%23d1defd' d='M4 4h1'/%3E%3Cpath stroke='%23c9d8fc' d='M7 4h1M5 5h2M4 7h1M2 8h1'/%3E%3Cpath stroke='%234d6185' d='M8 4h1M7 5h3M6 6h3M5 7h3M4 8h3M5 9h3m-2 1h3m-2 1h3m-2 1h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 4h1'/%3E%3Cpath stroke='%23c5d3fc' d='M10 4h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 4h1M2 11h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 4h1'/%3E%3Cpath stroke='%23baccf4' d='M14 4h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 4h1'/%3E%3Cpath stroke='%23c4d4f7' d='M1 5h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 5h3M9 6h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 5h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 5h1'/%3E%3Cpath stroke='%23bed0f8' d='M1 6h1'/%3E%3Cpath stroke='%23ceddfd' d='M3 6h1'/%3E%3Cpath stroke='%23c8d6fb' d='M5 6h1M2 9h3'/%3E%3Cpath stroke='%23bacdfc' d='M10 6h1m1 0h2M2 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 6h1M8 7h3m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 6h1'/%3E%3Cpath stroke='%23cddafc' d='M3 7h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 7h1m0 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 7h1'/%3E%3Cpath stroke='%23cad8fd' d='M3 8h1'/%3E%3Cpath stroke='%23c1d3fb' d='M7 8h2'/%3E%3Cpath stroke='%23b6cefb' d='M9 8h3M9 9h4'/%3E%3Cpath stroke='%23bacbf4' d='M14 8h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 8h1m-1 1h1m-1 4h1'/%3E%3Cpath stroke='%23bdd3fb' d='M8 9h1m-2 3h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 9h1m-5 4h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 9h1'/%3E%3Cpath stroke='%23b1c7f6' d='M1 10h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 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='%239fb5d2' d='M16 10h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23adc3f6' d='M1 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M4 11h1'/%3E%3Cpath stroke='%23c2d5fc' d='M5 11h2'/%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='M1 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M4 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M5 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='M1 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M2 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M3 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M6 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M7 13h1'/%3E%3Cpath stroke='%23b8cffa' 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='M1 14h1'/%3E%3Cpath stroke='%23b7c6f1' d='M2 14h1'/%3E%3Cpath stroke='%23b8c9f2' d='M3 14h1m3 0h2'/%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='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")
			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 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 0h17m-1 1h1m-1 14h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 1h1'/%3E%3Cpath stroke='%23fff' d='M1 1h15M0 2h1m14 0h1M0 3h1m14 0h1M0 4h1m14 0h1M0 5h1m14 0h1M0 6h1m14 0h1M0 7h1m14 0h1M0 8h1m14 0h1M0 9h1m14 0h1M0 10h1m14 0h1M0 11h1m14 0h1M0 12h1m14 0h1M0 13h1m14 0h1M0 14h1m14 0h1M1 15h14'/%3E%3Cpath stroke='%23e6eefc' d='M1 2h1'/%3E%3Cpath stroke='%23d0dffc' d='M2 2h1M1 3h1'/%3E%3Cpath stroke='%23cad8f9' d='M3 2h1M1 4h1'/%3E%3Cpath stroke='%23c4d2f7' d='M4 2h1'/%3E%3Cpath stroke='%23c0d0f7' d='M5 2h1'/%3E%3Cpath stroke='%23bdcef7' d='M6 2h1M1 7h1'/%3E%3Cpath stroke='%23bbcdf5' d='M7 2h2'/%3E%3Cpath stroke='%23b8cbf6' d='M9 2h1M1 8h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 2h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 2h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 2h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 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d='M14 8h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 8h1m-1 5h1'/%3E%3Cpath stroke='%23b4c8f6' d='M1 9h1'/%3E%3Cpath stroke='%23c2d5fc' d='M7 9h1m-3 2h1'/%3E%3Cpath stroke='%23b6cefb' d='M11 9h2'/%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='M1 10h1'/%3E%3Cpath stroke='%23c3d5fd' d='M6 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='M1 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M4 11h1'/%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 stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M1 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M4 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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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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
			}
			
			.field-row{
				display: flex;
				align-items: center
			}
			
			.field-row>*+*{
				margin-left: 6px
			}
			
			[class^=field-row]+[class^=field-row]{
				margin-top: 6px
			}
			
			.field-row-stacked{
				display: flex;
				flex-direction: column
			}
			
			.field-row-stacked *+*{
				margin-top: 6px
			}
			
			menu[role=tablist] button{
				background: linear-gradient(180deg,#fff,#fafaf9 26%,#f0f0ea 95%,#ecebe5);
				margin-left: -1px;
				margin-right: 2px;
				border-radius: 0;
				border-color: #91a7b4;
				border-top-right-radius: 3px;
				border-top-left-radius: 3px;
				padding: 0 12px 3px
			}
			
			menu[role=tablist] button: hover{
				box-shadow: unset;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c
			}
			
			menu[role=tablist] button[aria-selected=true]{
				border-color: #919b9c;
				margin-right: -1px;
				border-bottom: 1px solid transparent;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c
			}
			
			menu[role=tablist] button[aria-selected=true]: first-of-type: before{
				content: "";
				display: block;
				position: absolute;
				z-index: -1;
				top: 100%;
				left: -1px;
				height: 2px;
				width: 0;
				border-left: 1px solid #919b9c
			}
			
			[role=tabpanel]{
				box-shadow: inset 1px 1px #fcfcfe,inset -1px -1px #fcfcfe,1px 2px 2px 0 rgba(208,206,191,.75)
			}
			
			ul.tree-view{
				-webkit-font-smoothing: auto;
				border: 1px solid #7f9db9;
				padding: 2px 5px
			}
			
			@keyframes sliding{
				0%{
					transform: translateX(-30px)
				}
			
				to{
					transform: translateX(100%)
				}
			}
			
			progress{
				box-sizing: border-box;
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				height: 14px;
				border: 1px solid #686868;
				border-radius: 4px;
				padding: 1px 2px 1px 0;
				overflow: hidden;
				background-color: #fff;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				-moz-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress,progress: not([value]){
				box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]){
				-moz-box-shadow: inset 0 0 1px 0 #686868;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				height: 14px
			}
			
			progress[value]: :-webkit-progress-bar{
				background-color: transparent
			}
			
			progress[value]: :-webkit-progress-value{
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress[value]: :-moz-progress-bar{
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress: not([value]): :-webkit-progress-bar{
				width: 100%;
				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);
				animation: sliding 2s linear 0s infinite
			}
			
			progress: not([value]): :-webkit-progress-bar: not([value]){
				animation: sliding 2s linear 0s infinite;
				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)
			}
			
			progress: not([value]){
				position: relative
			}
			
			progress: not([value]): before{
				box-sizing: border-box;
				content: "";
				position: absolute;
				top: 0;
				left: 0;
				width: 100%;
				height: 100%;
				background-color: #fff;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				-moz-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): before,progress: not([value]): before: not([value]){
				box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): before: not([value]){
				-moz-box-shadow: inset 0 0 1px 0 #686868;
				-webkit-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): after{
				box-sizing: border-box;
				content: "";
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4215 feature_id 9 batch_size 958 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.5006331781860069 subsets 86",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4675 feature_id 9 batch_size 190 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.4825555573090272 subsets 87",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4025 feature_id 9 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 72",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 422 feature_id 9 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 14",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 292 feature_id 9 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 8",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3434 feature_id 9 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 15",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4758 feature_id 9 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 100",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 898 feature_id 9 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 14",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 485 feature_id 9 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 46",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2262 feature_id 9 batch_size 2120 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 50",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 982 feature_id 9 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 17",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4906 feature_id 9 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 17",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3439 feature_id 9 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 14",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2833 feature_id 9 batch_size 3652 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 89",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1695 feature_id 9 batch_size 3339 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 53",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4677 feature_id 9 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.5186154006030312 subsets 14",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2730 feature_id 9 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.49665187040510933 subsets 66",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 4488 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3579 feature_id 9 batch_size 4293 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.497570405724526 subsets 13",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 321 feature_id 9 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.5588526671258316 subsets 71",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1991 feature_id 9 batch_size 4309 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 29",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 677 feature_id 9 batch_size 2258 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.5287882161973891 subsets 36",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1755 feature_id 9 batch_size 216 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.5035277342460155 subsets 10",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 3085 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 12",
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			        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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3932 feature_id 9 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.5429437571783213 subsets 65",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4476 feature_id 9 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 4705 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2509 feature_id 9 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.9989999999999999 subsets 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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4388 feature_id 9 batch_size 1591 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.5008130128693712 subsets 11",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4484 feature_id 9 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.6613513600582762 subsets 60",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3390 feature_id 9 batch_size 1432 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.5551648386930864 subsets 29",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2803 feature_id 9 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.4508488135678978 subsets 100",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1650 feature_id 9 batch_size 3867 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.4901377043851367 subsets 39",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3340 feature_id 9 batch_size 3658 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 84",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 100",
			        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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 9 batch_size 4733 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 46",
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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 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4831 feature_id 9 batch_size 2599 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.3744190197339219 subsets 100",
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			        1745647023.0524714,
			        20,
			        2,
			        10
			    ],
			    [
			        1745647023.388727,
			        20,
			        2,
			        10
			    ],
			    [
			        1745647039.9836674,
			        20,
			        1,
			        5
			    ],
			    [
			        1745647040.1811776,
			        20,
			        1,
			        5
			    ],
			    [
			        1745648173.4160588,
			        20,
			        1,
			        5
			    ],
			    [
			        1745648174.0039194,
			        20,
			        1,
			        5
			    ],
			    [
			        1745648175.4385977,
			        20,
			        2,
			        10
			    ],
			    [
			        1745648175.7504916,
			        20,
			        2,
			        10
			    ],
			    [
			        1745648191.937496,
			        20,
			        1,
			        5
			    ],
			    [
			        1745648193.2395375,
			        20,
			        1,
			        5
			    ]
			];
			var tab_main_worker_cpu_ram_csv_json = [
			    [
			        1745405769,
			        644.421875,
			        37.1
			    ],
			    [
			        1745405769,
			        644.4453125,
			        37.3
			    ],
			    [
			        1745405770,
			        644.4453125,
			        38
			    ],
			    [
			        1745405770,
			        644.4453125,
			        40
			    ],
			    [
			        1745405770,
			        644.4453125,
			        25
			    ],
			    [
			        1745405770,
			        644.4453125,
			        37.3
			    ],
			    [
			        1745405770,
			        644.4453125,
			        35.4
			    ],
			    [
			        1745406335,
			        691.18359375,
			        40.1
			    ],
			    [
			        1745406335,
			        691.18359375,
			        30.8
			    ],
			    [
			        1745406335,
			        691.18359375,
			        33.1
			    ],
			    [
			        1745406335,
			        691.18359375,
			        37.2
			    ],
			    [
			        1745418838,
			        904.95703125,
			        34.1
			    ],
			    [
			        1745418838,
			        904.95703125,
			        37.8
			    ],
			    [
			        1745418838,
			        904.95703125,
			        36.8
			    ],
			    [
			        1745418838,
			        904.95703125,
			        37.8
			    ],
			    [
			        1745429638,
			        925.7578125,
			        33.7
			    ],
			    [
			        1745429638,
			        925.7578125,
			        40.4
			    ],
			    [
			        1745429638,
			        925.7578125,
			        38.5
			    ],
			    [
			        1745429638,
			        925.7578125,
			        37.9
			    ],
			    [
			        1745443940,
			        956.9140625,
			        40.8
			    ],
			    [
			        1745443940,
			        956.9140625,
			        34.3
			    ],
			    [
			        1745443940,
			        956.9140625,
			        33.1
			    ],
			    [
			        1745443940,
			        956.9140625,
			        37.9
			    ],
			    [
			        1745456079,
			        953.80078125,
			        33.7
			    ],
			    [
			        1745456079,
			        953.80078125,
			        35
			    ],
			    [
			        1745456079,
			        953.80078125,
			        34.1
			    ],
			    [
			        1745456079,
			        953.80078125,
			        35.7
			    ],
			    [
			        1745468751,
			        974.01171875,
			        36.7
			    ],
			    [
			        1745468751,
			        974.01171875,
			        39.9
			    ],
			    [
			        1745468751,
			        974.01171875,
			        40.1
			    ],
			    [
			        1745468751,
			        974.01171875,
			        39.6
			    ],
			    [
			        1745483002,
			        1049.75390625,
			        34.5
			    ],
			    [
			        1745483002,
			        1049.75390625,
			        33.2
			    ],
			    [
			        1745483002,
			        1049.75390625,
			        31.1
			    ],
			    [
			        1745483002,
			        1049.75390625,
			        36.8
			    ],
			    [
			        1745498739,
			        985.0234375,
			        30.2
			    ],
			    [
			        1745498739,
			        985.0234375,
			        24
			    ],
			    [
			        1745498739,
			        985.0234375,
			        23.2
			    ],
			    [
			        1745498739,
			        985.0234375,
			        26.7
			    ],
			    [
			        1745515939,
			        1050.76953125,
			        30.6
			    ],
			    [
			        1745515939,
			        1050.76953125,
			        26.5
			    ],
			    [
			        1745515940,
			        1050.76953125,
			        26.7
			    ],
			    [
			        1745515940,
			        1050.76953125,
			        22.2
			    ],
			    [
			        1745529289,
			        1086.92578125,
			        28.6
			    ],
			    [
			        1745529289,
			        1086.92578125,
			        26
			    ],
			    [
			        1745529289,
			        1086.92578125,
			        26.9
			    ],
			    [
			        1745529289,
			        1086.92578125,
			        25.9
			    ],
			    [
			        1745545973,
			        1046.5546875,
			        31.4
			    ],
			    [
			        1745545973,
			        1046.5546875,
			        29.4
			    ],
			    [
			        1745545973,
			        1046.5546875,
			        28.6
			    ],
			    [
			        1745545973,
			        1046.5546875,
			        35.6
			    ],
			    [
			        1745563693,
			        1067.9453125,
			        30.2
			    ],
			    [
			        1745563693,
			        1067.9453125,
			        30.5
			    ],
			    [
			        1745563693,
			        1067.9453125,
			        29.8
			    ],
			    [
			        1745563693,
			        1067.9453125,
			        28.1
			    ],
			    [
			        1745583328,
			        1075.55078125,
			        32.5
			    ],
			    [
			        1745583328,
			        1075.55078125,
			        34
			    ],
			    [
			        1745583328,
			        1075.55078125,
			        33.8
			    ],
			    [
			        1745583328,
			        1075.55078125,
			        37.8
			    ],
			    [
			        1745603665,
			        1125.17578125,
			        32.1
			    ],
			    [
			        1745603665,
			        1125.17578125,
			        33.7
			    ],
			    [
			        1745603665,
			        1125.17578125,
			        33.4
			    ],
			    [
			        1745603665,
			        1125.17578125,
			        40
			    ],
			    [
			        1745625223,
			        1097.94921875,
			        33.7
			    ],
			    [
			        1745625223,
			        1097.94921875,
			        35
			    ],
			    [
			        1745625223,
			        1097.94921875,
			        35.5
			    ],
			    [
			        1745625223,
			        1097.94921875,
			        43.6
			    ],
			    [
			        1745648204,
			        1115.265625,
			        31.3
			    ],
			    [
			        1745648204,
			        1115.265625,
			        27.8
			    ],
			    [
			        1745648204,
			        1115.265625,
			        28.6
			    ],
			    [
			        1745648204,
			        1115.265625,
			        18.8
			    ]
			];
			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>50449 </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>449   </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>20</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>217</td>
			<td>629</td>
			<td>1</td>
			<td>847</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_0,0.050000000000000002775557561563,5.000000000000000000000000000000,632,17,316,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.653810538768768267914310854394,3
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,3.000000000000000000000000000000,4527,10,4724,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.347956811627373074902180860590,51
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,3.000000000000000000000000000000,2932,12,2319,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.793364994185045357966146184481,95
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,1592,4,2955,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.206818757254630336550604852164,46
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,6.000000000000000000000000000000,2484,13,4048,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.903702613780274943700021594850,80
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,3609,0,913,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.094653745081275705852696944476,31
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,3934,19,3318,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.545718602180480960583963678801,25
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,7.000000000000000000000000000000,293,5,1409,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.453977721882984019963203081716,73
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,332,11,3453,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.938581115342676630675100568624,84
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,4208,3,1587,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.059653413629159331155182854900,33
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,3256,15,4187,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.611902628423646066657681785728,14
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,4.000000000000000000000000000000,1898,8,1087,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.387915525529533622428601802312,65
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,1554,20,2181,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.688985986048355703026402352407,11
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,6.000000000000000000000000000000,2659,6,2781,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.312659560482949017146125925137,61
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,17.000000000000000000000000000000,4879,15,181,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.859845936402678479026917557348,93
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,1218,1,4547,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.140459637491032490741460492245,42
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,8.000000000000000000000000000000,1032,14,1873,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.328489633105695233439291769173,90
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,4752,2,3714,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.669744895866140721452097750443,39
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,2551,20,1119,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.220126501487568015935636367431,7
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,1349,7,4234,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.779691652465611673150647220609,59
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,2104,16,2515,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.082792495170608160215408588556,17
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,5.000000000000000000000000000000,3364,8,1900,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.918853051360696504445968457730,69
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,5.000000000000000000000000000000,4335,11,4495,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.471967800825834282729687174651,87
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,6.000000000000000000000000000000,518,2,154,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.528337773067876659283115259313,36
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,88,18,4986,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.016433418162167073156565422209,22
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,8.000000000000000000000000000000,3826,6,601,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.985333950823172877164779492887,69
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,3481,13,3001,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.436670596154406676081549676383,76
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,2298,1,2351,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.563513155285269018435201360262,29
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,11.000000000000000000000000000000,1779,12,632,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.262427542710676808823677674809,98
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,4.000000000000000000000000000000,3059,4,3783,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.735928816150873910117979903589,50
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,214,13,3146,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,92
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,3.000000000000000000000000000000,1408,14,3133,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,91
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,4.000000000000000000000000000000,1457,7,2546,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,77
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,3.000000000000000000000000000000,1402,12,3297,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,89
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,2.000000000000000000000000000000,1025,12,3321,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,3.000000000000000000000000000000,3211,10,3105,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,4.000000000000000000000000000000,1,14,3029,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,81
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,5.000000000000000000000000000000,441,6,2617,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,78
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,3.000000000000000000000000000000,339,12,3585,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,84
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,4.000000000000000000000000000000,1,4,2484,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,83
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,2149,13,3685,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,3.000000000000000000000000000000,1,17,3305,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,87
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,3.000000000000000000000000000000,1164,14,2644,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,79
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,4.000000000000000000000000000000,1,15,2922,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,4.000000000000000000000000000000,2275,11,3018,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,90
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,3.000000000000000000000000000000,3226,10,2284,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,58
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,4.000000000000000000000000000000,471,11,3115,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,9.000000000000000000000000000000,1584,11,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,95
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,4.000000000000000000000000000000,632,15,3040,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,73
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,3.000000000000000000000000000000,1890,12,3240,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,82
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,8.000000000000000000000000000000,2434,14,3441,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,92
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,4.000000000000000000000000000000,1,20,3378,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.657026772094720157291192208504,88
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,6.000000000000000000000000000000,1385,8,3239,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.993666276370647083560072587716,74
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,607,13,4030,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,90
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,4.000000000000000000000000000000,1,2,2757,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,77
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,4.000000000000000000000000000000,622,11,3794,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,4.000000000000000000000000000000,3080,8,2387,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,89
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,13,2715,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,73
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,2652,9,4958,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,69
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,4.000000000000000000000000000000,1,5,2276,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,3378,9,4107,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,81
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,1789,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,56
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,1207,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,34
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,4642,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,59
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,832,9,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,17
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1489,9,2501,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,3973,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,7.000000000000000000000000000000,593,9,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,24
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,114,9,4276,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,63
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1682,9,1494,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,47
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,4350,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,66
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,3.000000000000000000000000000000,5000,17,1838,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,53
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,1452,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,33
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,836,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,29
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,4074,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,4436,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,36
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,1181,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,21
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,1709,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,43
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,324,9,4075,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,30
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,2407,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,71
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,1821,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,31
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,3503,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,1060,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,40
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,2392,9,831,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,4778,9,666,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,9
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,1,9,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,5000,9,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,5000,9,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,5000,9,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,1,9,3896,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,1,9,3545,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,10.000000000000000000000000000000,5000,9,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,1,9,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,1,9,3600,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,5000,9,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,7.000000000000000000000000000000,1,9,3351,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,5000,9,2998,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,5000,9,2790,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
117,117_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,1,9,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,1574,9,2106,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,31
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,3421,9,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,30
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,17
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1945,9,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,30
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1292,9,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,18
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,3981,9,4742,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,31
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,852,9,4630,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,30
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,32
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,662,9,4136,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,29
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,16
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1800,9,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,20
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,16
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,730,9,4632,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,13
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,4487,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,29
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,918,9,2027,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,29
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,268,9,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,15
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,2984,9,1921,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,30
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4938,9,2287,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,32
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,1,9,1732,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,31
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,1,9,232,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,54
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,425,9,4880,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,32
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,891,9,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,52
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,36
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,2891,9,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,39
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,4280,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,33
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4614,9,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,48
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4478,9,3398,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,54
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,3891,9,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,27
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,201,9,391,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,52
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,1627,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,19
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4633,9,1561,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,45
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4791,9,4049,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,61
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,544,9,2832,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1473,9,1568,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,49
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4911,9,1713,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,18
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4808,9,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,64
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,2157,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4241,9,2141,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,48
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,1700,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,43
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,365,9,4387,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,6
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4800,9,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,58
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4487,9,4112,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,833,9,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4615,9,1771,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,19
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,4592,9,1624,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,22
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,4156,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,40
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,3308,9,2071,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,9
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,1822,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,42
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,1429,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,23
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,470,9,1963,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4630,9,1325,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,19
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,4248,9,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,56
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,1101,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,21
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,4003,9,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,61
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,60
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,4778,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,4
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,1817,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,18
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,1208,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,46
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,990,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.548243187844170809519539488974,100
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4291,9,1884,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.078458755085239265114616102892,100
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,3340,9,705,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.617242870951790867373176752153,100
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,2758,9,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1213,9,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,7.000000000000000000000000000000,2707,9,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,1960,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.070473098973246328657893400305,100
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,2979,9,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,2615,9,3108,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,2634,9,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1764,9,3062,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,3109,9,1031,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.516024236780638911881169406115,100
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,1597,9,149,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.584352689562315563698291498440,1
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,3158,9,29,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.500826518411174537170893472648,1
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4371,9,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,7.000000000000000000000000000000,1539,9,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,2953,9,2418,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,10.000000000000000000000000000000,1,9,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,2369,9,4625,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.262394429126355188675034924017,1
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,2224,9,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,2234,9,655,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,2452,9,4055,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,3016,9,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1641,9,2072,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.719352964288467733311449592293,1
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1855,9,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1783,9,3590,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,2860.000000000000000000000000000000,5000,9,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,2612.000000000000000000000000000000,1,9,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,2735.000000000000000000000000000000,1,9,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000888178419700,100
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,24.000000000000000000000000000000,1,9,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,25
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,4698,9,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,2653.000000000000000000000000000000,1,9,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,3009,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,2690.000000000000000000000000000000,5000,9,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,5000,9,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
230,230_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,2
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,2622.000000000000000000000000000000,5000,9,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,12.000000000000000000000000000000,5000,9,846,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,2991.000000000000000000000000000000,1,9,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
237,237_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,7.000000000000000000000000000000,5000,9,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,5000,9,643,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,52
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,5.000000000000000000000000000000,328,9,635,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,50
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,5.000000000000000000000000000000,5000,9,663,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,53
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,5.000000000000000000000000000000,738,9,678,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,58
244,244_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,660,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,54
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,5.000000000000000000000000000000,1,9,673,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,55
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,5.000000000000000000000000000000,2703,9,588,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,42
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,5.000000000000000000000000000000,5000,9,619,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,48
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,2769,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,2446,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,3635,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,5.000000000000000000000000000000,1,9,612,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,48
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,1354,9,3906,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,18.000000000000000000000000000000,1,9,941,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,2466,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
255,255_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,4669,9,565,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,31
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,1,9,683,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,57
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,5000,9,2755,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
259,259_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,2726,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,2849,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,3558,9,4492,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,3756,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,3856,9,2407,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,2459,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,60
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,1,9,604,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,46
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,515,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,38
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,5.000000000000000000000000000000,260,9,647,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,49
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,5000,9,3995,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
270,270_0,FAILED,BoTorch,GenerationStep_1,,,1712,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.841746782590136244373013596487,1
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,2714,9,4506,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.308172661610267351051106743398,100
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,1,9,4594,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
273,273_0,FAILED,BoTorch,GenerationStep_1,,,1214,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.592052790107263526842018563912,1
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,8.000000000000000000000000000000,1,9,2315,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.191822421070859366887262353885,100
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,752,9,259,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.481781857405424396301185652192,1
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,267,9,1853,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4601,9,3607,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,32
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,5000,9,2279,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.938957936001596049635509189102,100
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,4509,9,2929,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.780658256636054703747618077614,1
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,5000,9,4531,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,10.000000000000000000000000000000,198,9,1520,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.431684334191012486492411426298,100
282,282_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,3220,9,1286,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.766611799035802787827265092346,1
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,10.000000000000000000000000000000,5000,9,4506,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.925495436666483595189447441953,100
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,522,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,21
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,1,9,4501,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,3174,9,3653,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.334985824932360898298355778024,39
288,288_0,FAILED,BoTorch,GenerationStep_1,,,701,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.136971358026514555827901631346,65
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1442,9,1365,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.835816394644105731259742242401,1
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,4844,9,1940,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.038677700745907900303777182671,1
291,291_0,FAILED,BoTorch,GenerationStep_1,,,3111,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,2921,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,308,9,642,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.557405160197013582745739768143,25
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,5.000000000000000000000000000000,2766,9,4537,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,69
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,213,9,509,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.878708950004881805817547046900,100
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,10.000000000000000000000000000000,247,9,1996,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.594879855296755799543007015018,100
297,297_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.813815557445136117387107788090,60
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,1648,9,3724,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,62
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,4584,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,3.000000000000000000000000000000,5000,17,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,4590,17,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,6.000000000000000000000000000000,1,14,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,4.000000000000000000000000000000,1,5,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,10.000000000000000000000000000000,5000,5,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,7.000000000000000000000000000000,5000,5,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1,17,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,4.000000000000000000000000000000,5000,0,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,8.000000000000000000000000000000,3128,17,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,7.000000000000000000000000000000,1102,5,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,4.000000000000000000000000000000,5000,5,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,3.000000000000000000000000000000,1,14,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,7.000000000000000000000000000000,5000,14,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
313,313_0,FAILED,BoTorch,GenerationStep_1,,,1,17,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
314,314_0,FAILED,BoTorch,GenerationStep_1,,,1,14,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
315,315_0,FAILED,BoTorch,GenerationStep_1,,,5000,5,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,8.000000000000000000000000000000,2430,5,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
317,317_0,FAILED,BoTorch,GenerationStep_1,,,5000,5,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
318,318_0,FAILED,BoTorch,GenerationStep_1,,,5000,14,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,6.000000000000000000000000000000,5000,14,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,3.000000000000000000000000000000,5000,14,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,3.000000000000000000000000000000,5000,14,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,4.000000000000000000000000000000,5000,5,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,4.000000000000000000000000000000,1,14,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,10.000000000000000000000000000000,1,0,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,4.000000000000000000000000000000,5000,20,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,895,17,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
327,327_0,FAILED,BoTorch,GenerationStep_1,,,5000,17,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,4.000000000000000000000000000000,2552,5,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
329,329_0,FAILED,BoTorch,GenerationStep_1,,,1,5,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,8.000000000000000000000000000000,1,5,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
331,331_0,FAILED,BoTorch,GenerationStep_1,,,1,5,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
332,332_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,7.000000000000000000000000000000,5000,5,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
334,334_0,FAILED,BoTorch,GenerationStep_1,,,1,5,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
335,335_0,FAILED,BoTorch,GenerationStep_1,,,1,14,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,4.000000000000000000000000000000,1129,5,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
337,337_0,FAILED,BoTorch,GenerationStep_1,,,1,17,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
338,282_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,6.000000000000000000000000000000,5000,0,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
340,340_0,FAILED,BoTorch,GenerationStep_1,,,5000,14,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
341,341_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,7.000000000000000000000000000000,1,5,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,10.000000000000000000000000000000,5000,0,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,7.000000000000000000000000000000,1,14,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,1,17,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,67
345,345_0,FAILED,BoTorch,GenerationStep_1,,,5000,17,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,4632,17,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,10.000000000000000000000000000000,1,14,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,7.000000000000000000000000000000,280,5,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
349,349_0,FAILED,BoTorch,GenerationStep_1,,,5000,14,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
350,350_0,FAILED,BoTorch,GenerationStep_1,,,5000,5,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,3.000000000000000000000000000000,5000,17,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,17,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,4.000000000000000000000000000000,1,5,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
354,354_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,7.000000000000000000000000000000,1,5,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
356,356_0,FAILED,BoTorch,GenerationStep_1,,,5000,5,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,3.000000000000000000000000000000,5000,17,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
358,358_0,FAILED,BoTorch,GenerationStep_1,,,1,17,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,1,17,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
360,360_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
361,361_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,6.000000000000000000000000000000,5000,14,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
362,362_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
363,363_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,6.000000000000000000000000000000,5000,14,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
365,365_0,FAILED,BoTorch,GenerationStep_1,,,5000,5,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
366,366_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
367,367_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
368,368_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,6.000000000000000000000000000000,5000,14,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
369,369_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
370,370_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,7.000000000000000000000000000000,5000,9,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
371,371_0,FAILED,BoTorch,GenerationStep_1,,,1,14,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
372,372_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
373,373_0,FAILED,BoTorch,GenerationStep_1,,,1,5,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
374,374_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,3.000000000000000000000000000000,5000,14,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
375,375_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
376,376_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,5000,9,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
377,377_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,7.000000000000000000000000000000,1,5,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
378,378_0,FAILED,BoTorch,GenerationStep_1,,,5000,12,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,8.000000000000000000000000000000,5000,5,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,4.000000000000000000000000000000,5000,5,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,3.000000000000000000000000000000,1,14,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,10.000000000000000000000000000000,5000,5,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
384,384_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,1,9,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
386,386_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,7.000000000000000000000000000000,5000,5,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
387,387_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
388,349_0,FAILED,BoTorch,GenerationStep_1,,,5000,14,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
389,389_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,9.000000000000000000000000000000,1,14,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
390,390_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,1409,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
391,391_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,1305,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,10.000000000000000000000000000000,1479,9,1346,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
393,393_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,5000,9,1432,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
394,394_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,1390,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,3231,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,5000,9,1242,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
397,397_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,1130,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,1437,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
399,399_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,10.000000000000000000000000000000,1,9,1469,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,5000,9,1515,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,3339,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,3904,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,1164,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,1720,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,1558,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,1322,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4154,9,3679,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
408,408_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,1,9,4133,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,2999,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
410,410_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,1609,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,1483,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,1,9,1149,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
413,413_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,5000,9,1393,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
414,414_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,1316,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
415,415_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,4261,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,7.000000000000000000000000000000,3843,9,1274,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
417,417_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,4013,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,4010,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,1202,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
420,420_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,2741,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,30
421,421_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,2160,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,80
422,422_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,10.000000000000000000000000000000,5000,9,769,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
423,423_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,625,9,2930,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,30
424,424_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,4210,9,168,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14
425,425_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,1,9,159,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,14
426,426_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,4725,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,80
427,427_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,10.000000000000000000000000000000,1,9,763,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
428,428_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,3825,9,140,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,14
429,429_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,628,9,4230,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,27
430,430_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,4632,9,304,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
431,431_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
432,432_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,1,9,173,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,15
433,433_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1335,9,3988,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,23
434,434_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4346,9,2413,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
435,435_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,3976,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24
436,436_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,2207,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,86
437,437_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4938,9,2797,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,36
438,438_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,7.000000000000000000000000000000,3615,9,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,68
439,439_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,573,9,3392,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,75
440,440_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,4098,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,27
441,441_0,FAILED,BoTorch,GenerationStep_1,,,3951,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
442,442_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,93,9,2477,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,24
443,443_0,FAILED,BoTorch,GenerationStep_1,,,3777,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,68
444,444_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,2391,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,20
445,445_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,2038,9,335,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
446,446_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,5.000000000000000000000000000000,4021,9,2322,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,72
447,447_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1860,9,3059,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,28
448,448_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,2814,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,28
449,449_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,5.000000000000000000000000000000,4599,9,2432,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,68
450,450_0,FAILED,BoTorch,GenerationStep_1,,,3966,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,65
451,451_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
452,452_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,3588,9,1480,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
453,453_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,5.000000000000000000000000000000,2433,9,1008,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,58
454,454_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,3174,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,29
455,455_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,888,9,334,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,19
456,456_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1022,9,983,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,57
457,457_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,1,9,794,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
458,458_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,77
459,459_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,4848,9,323,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,60
460,460_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,5000,9,1781,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,57
461,461_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,5.000000000000000000000000000000,5000,9,908,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
462,462_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,2445,9,456,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,76
463,463_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1256,9,4770,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
464,464_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
465,465_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,386,9,1464,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,77
466,466_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,4379,9,282,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,63
467,467_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,3892,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,76
468,468_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,4748,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
469,469_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,4536,9,1412,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
470,470_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,3320,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
471,255_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
472,472_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,5.000000000000000000000000000000,4897,9,2952,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,75
473,473_0,FAILED,BoTorch,GenerationStep_1,,,3627,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
474,474_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,4726,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
475,475_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4923,9,3735,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
476,367_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
477,477_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,255,9,513,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
478,478_0,FAILED,BoTorch,GenerationStep_1,,,1722,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,22
479,479_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,650,9,651,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,73
480,375_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
481,481_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,4069,9,4707,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,69
482,482_0,FAILED,BoTorch,GenerationStep_1,,,159,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
483,483_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,3683,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
484,484_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,2065,9,1882,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,80
485,485_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,63
486,486_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,4752,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,18
487,487_0,FAILED,BoTorch,GenerationStep_1,,,3452,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
488,488_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,3464,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,27
489,489_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,7.000000000000000000000000000000,1717,9,748,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,83
490,490_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,68
491,491_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
492,492_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,3833,9,2008,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,44
493,493_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4170,9,3775,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24
494,494_0,FAILED,BoTorch,GenerationStep_1,,,4308,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,69
495,495_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,4356,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,18
496,496_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,14.000000000000000000000000000000,4767,9,604,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,96
497,497_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,4314,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,86
498,498_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,1,9,2018,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
499,499_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,5000,9,572,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,19
500,282_0,FAILED,BoTorch,GenerationStep_1,,,5000,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
501,501_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,4.000000000000000000000000000000,4160,9,4104,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,57
502,502_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,4808,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,17
503,503_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,421,9,4345,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,54
504,504_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,4446,9,2039,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,54
505,505_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,9.000000000000000000000000000000,1,9,1886,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
506,506_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,1072,9,3203,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
507,507_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,64
508,508_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,3721,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,57
509,509_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,6.000000000000000000000000000000,150,9,4378,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
510,510_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,6.000000000000000000000000000000,1287,19,1298,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.909078187108039892372346457705,70
511,511_0,COMPLETED,Sobol,SOBOL,0.059999999999999997779553950750,5.000000000000000000000000000000,4938,5,2509,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.100181657820940017700195312500,10
512,512_0,COMPLETED,Sobol,SOBOL,0.059999999999999997779553950750,4.000000000000000000000000000000,3548,12,509,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.559939928378909823614151264337,50
513,513_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,5.000000000000000000000000000000,171,4,4221,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.496100871911272389702673990541,85
514,514_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,5.000000000000000000000000000000,953,15,3388,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.697639641858637360449790776329,28
515,515_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,10.000000000000000000000000000000,2772,1,2177,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.262889863515272714789006158753,89
516,516_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,7.000000000000000000000000000000,3843,16,4786,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.832303567258641074921854396962,54
517,517_0,COMPLETED,Sobol,SOBOL,0.059999999999999997779553950750,5.000000000000000000000000000000,2375,8,1077,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.143819375816732653028395816364,18
518,518_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,5.000000000000000000000000000000,1887,11,4674,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.639395851444452989476019411086,33
519,519_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,11.000000000000000000000000000000,4331,3,887,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.322106010293588040926948679044,95
520,520_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,5.000000000000000000000000000000,2909,20,3578,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.766293670685961880728598316637,61
521,521_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,5.000000000000000000000000000000,817,6,2290,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.210802253350615503846299247925,25
522,522_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,43.000000000000000000000000000000,346,18,6,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.974096315545961211057601758512,64
523,523_0,COMPLETED,Sobol,SOBOL,0.080000000000000001665334536938,4.000000000000000000000000000000,3371,9,3796,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.032237480778247118440305030163,2
524,524_0,COMPLETED,Sobol,SOBOL,0.059999999999999997779553950750,4.000000000000000000000000000000,4489,14,1722,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.617252846084535122805903029075,44
525,525_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,7.000000000000000000000000000000,1737,0,3012,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.435862482795491834597356728409,80
526,526_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,5.000000000000000000000000000000,1603,13,665,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.078666519373655319213867187500,39
527,527_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,4.000000000000000000000000000000,4672,1,4377,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.883810219423845411235163282981,78
528,528_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,6.000000000000000000000000000000,3251,17,2391,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.454729078700765954046403294342,68
529,529_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,4.000000000000000000000000000000,534,10,3603,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.523341246511787150375027977134,4
530,530_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,243.000000000000000000000000000000,1747,9,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,49
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,10.000000000000000000000000000000,144,9,97,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,51
532,532_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,9.000000000000000000000000000000,738,9,1012,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,361,9,348,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,65
534,534_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,6.000000000000000000000000000000,2072,9,352,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,65
535,535_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,2124,9,1417,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,54
536,536_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,3165,9,1291,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,41
537,537_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,2588,9,3142,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,54
538,538_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3595,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,15
539,539_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,4488,9,2837,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,49
540,540_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,2672,9,3028,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,13
541,541_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3823,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,15
542,542_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,2747,9,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,86
543,543_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,1773,9,612,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,42
544,544_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3403,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,17
545,545_0,FAILED,BoTorch,BOTORCH_MODULAR,,,526,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,73
546,546_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,4359,9,3532,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,15
547,547_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,3235,9,966,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,38
548,548_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1177,9,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,85
549,549_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,11.000000000000000000000000000000,1743,9,1028,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,84
550,550_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,4215,9,958,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.500633178186006944088148884475,86
551,551_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,4675,9,190,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.482555557309027216561503337289,87
552,552_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4025,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,72
553,553_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,50
554,554_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3189,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,15
555,555_0,FAILED,BoTorch,BOTORCH_MODULAR,,,841,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,13
556,556_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1062,9,2963,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14
557,557_0,FAILED,BoTorch,BOTORCH_MODULAR,,,422,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14
558,558_0,FAILED,BoTorch,BOTORCH_MODULAR,,,292,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,8
559,559_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,7.000000000000000000000000000000,4494,9,1777,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,82
560,560_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4186,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,74
561,561_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,10.000000000000000000000000000000,1184,9,835,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,97
562,562_0,FAILED,BoTorch,BOTORCH_MODULAR,,,585,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,14
563,563_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,4245,9,4794,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,56
564,564_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3434,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,15
565,565_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,4949,9,1734,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,19
566,566_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4758,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
567,567_0,FAILED,BoTorch,BOTORCH_MODULAR,,,898,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,14
568,568_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,7.000000000000000000000000000000,485,9,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,46
569,569_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,72
570,570_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,2262,9,2120,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,50
571,571_0,FAILED,BoTorch,BOTORCH_MODULAR,,,982,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,17
572,572_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
573,573_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4906,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,17
574,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3439,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,14
575,575_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,2833,9,3652,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,89
576,576_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1695,9,3339,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,53
577,577_0,FAILED,BoTorch,BOTORCH_MODULAR,,,76,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,73
578,578_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
579,579_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1507,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,16
580,580_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,3504,9,4566,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,37
581,581_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2449,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,70
582,572_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
583,583_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3617,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,68
584,584_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
585,585_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1077,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,15
586,586_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,8.000000000000000000000000000000,1,9,4853,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,84
587,587_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,64
588,588_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,5000,9,1639,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,64
589,589_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,211,9,2845,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,88
590,590_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3409,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14
591,372_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
592,592_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,3937,9,2538,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,47
593,593_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1837,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,73
594,594_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,3077,9,335,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,48
595,595_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.059999999999999997779553950750,6.000000000000000000000000000000,89,14,245,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,49
596,596_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3762,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,76
597,597_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,60
598,598_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3229,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,73
599,599_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,1947,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,13
600,600_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,61
601,601_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3374,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,10
602,602_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2090,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,17
603,603_0,FAILED,BoTorch,BOTORCH_MODULAR,,,424,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,10
604,604_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4025,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,66
605,605_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4733,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,16
606,606_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,2258,9,2916,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,19
607,607_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2807,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,15
608,608_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2707,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.595125731860182693999661296402,60
609,609_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,8.000000000000000000000000000000,3360,9,2679,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.328179782426496036151775115286,88
610,610_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,70
611,332_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
612,612_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,3710,9,246,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,34
613,613_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3019,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,72
614,614_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,1141,9,4109,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.477313766232934477695692976340,40
615,615_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4677,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.518615400603031240223117492860,14
616,616_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4767,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.497017060206018490564616740812,70
617,617_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4133,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.496217474930924884457539292271,15
618,618_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,12.000000000000000000000000000000,322,9,840,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.499574055538671568665876066007,100
619,619_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4174,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.506447374192416255311854911270,55
620,620_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,1299,9,2016,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
621,621_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4457,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.563812800010453085697292863188,15
622,622_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2456,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,53
623,623_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2718,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,74
624,624_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,4249,9,832,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,11
625,625_0,FAILED,BoTorch,BOTORCH_MODULAR,,,770,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,16
626,451_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
627,627_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,1,9,381,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,62
628,628_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,3245,9,2595,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,39
629,629_0,FAILED,BoTorch,BOTORCH_MODULAR,,,260,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,68
630,630_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1467,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.503472659479487494316174434061,67
631,631_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,4213,9,3834,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.353415993700741171146262331604,64
632,632_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,6.000000000000000000000000000000,1635,9,271,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.513856172217926232548279585899,79
633,633_0,FAILED,BoTorch,BOTORCH_MODULAR,,,173,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,54
634,634_0,FAILED,BoTorch,BOTORCH_MODULAR,,,117,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.442662093989040106301047217130,17
635,635_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,3547,9,39,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.363038576310713900774373996683,16
636,636_0,FAILED,BoTorch,BOTORCH_MODULAR,,,271,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.438995756132914138891720767788,1
637,637_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2944,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.419037596072209250763762611314,1
638,638_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,71
639,639_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1,9,1494,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.009354486608580625528475138708,49
640,640_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,497,9,4668,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,11
641,641_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,1426,9,4695,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,30
642,642_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,4448,9,4398,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.933676076412908950707958410931,46
643,643_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,68
644,644_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,64
645,645_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,6.000000000000000000000000000000,3803,9,998,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.623485901205231063393341628398,32
646,646_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4210,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.403459990362696918619889174806,100
647,647_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,1416,9,4190,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,45
648,648_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,3578,9,321,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,18
649,649_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,8.000000000000000000000000000000,875,9,805,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,90
650,650_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,2013,9,1674,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,88
651,651_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,1606,9,2683,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,10
652,369_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
653,653_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,60
654,654_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,4218,9,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.529046051646440473881227717357,51
655,655_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,3010,9,2880,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.519128777397887652966801397270,64
656,656_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3408,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.463451397843940238185922453340,63
657,657_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.059999999999999997779553950750,5.000000000000000000000000000000,1849,14,517,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,68
658,658_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,66
659,491_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
660,578_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
661,661_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,5000,9,523,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,53
662,662_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,7.000000000000000000000000000000,895,9,4340,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,88
663,663_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1177,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,72
664,664_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1668,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,66
665,665_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4359,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,51
666,666_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,3818,9,791,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,56
667,667_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,867,9,3575,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14
668,668_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,6.000000000000000000000000000000,2934,9,1841,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,78
669,669_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,6.000000000000000000000000000000,113,9,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,84
670,670_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,1595,9,4698,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,99
671,671_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2668,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,59
672,672_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1048,9,1744,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,57
673,673_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,3539,9,3595,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,45
674,674_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,3145,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,51
675,675_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2197,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
676,676_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,5000,9,630,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,43
677,354_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
678,678_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1703,9,2578,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,48
679,679_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1,9,3492,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14
680,680_0,FAILED,BoTorch,BOTORCH_MODULAR,,,473,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,56
681,681_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4580,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,67
682,682_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,3208,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,39
683,683_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3062,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.416780473146629304448396169391,63
684,684_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,2226,9,236,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,72
685,685_0,FAILED,BoTorch,BOTORCH_MODULAR,,,176,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,68
686,686_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,1562,9,4584,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
687,687_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.500493974942329611366176322917,61
688,688_0,FAILED,BoTorch,BOTORCH_MODULAR,,,300,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,95
689,689_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4884,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.182778730391798344134812737138,67
690,690_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,1,9,1208,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,48
691,691_0,FAILED,BoTorch,BOTORCH_MODULAR,,,478,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.474460968615655287461407851879,55
692,692_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,2037,9,3428,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.482451338593436362955912954931,63
693,693_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1058,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.449137306693622506692520346405,57
694,694_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,81
695,695_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,3292,9,4034,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,11
696,696_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2755,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.502639230493114874676052750146,71
697,697_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,10.000000000000000000000000000000,539,9,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.524537405442798920773839199683,11
698,698_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4737,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.532015111935657647457276198111,63
699,699_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3230,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.486649083664105586155557148231,48
700,700_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,4054,9,549,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.502416542960950396334851575375,90
701,701_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2730,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.496651870405109330253168309355,66
702,702_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,6.000000000000000000000000000000,2088,9,3578,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,79
703,703_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,4488,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
704,704_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4156,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,64
705,705_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1,9,2946,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,54
706,706_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,3194,9,4717,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,74
707,707_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,5000,9,3469,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,37
708,708_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,6.000000000000000000000000000000,1,9,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.500818008761184874089167351485,1
709,572_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
710,710_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,575,9,884,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,19
711,711_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,7.000000000000000000000000000000,1544,9,1633,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,86
712,372_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
713,713_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,3129,9,4615,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.476971000687481494484387667399,63
714,714_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4383,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.471595404785979721573596634698,69
715,715_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,4579,9,2564,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,13
716,716_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,5000,9,3206,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,85
717,717_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,4593,9,3260,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,89
718,718_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,3579,9,4293,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.497570405724525988144790744627,13
719,719_0,FAILED,BoTorch,BOTORCH_MODULAR,,,321,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.558852667125831592542795078771,71
720,720_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3669,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.578798623758128960581359478965,100
721,354_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
722,722_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,805,9,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.601543681656229956011827653128,12
723,723_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,9.000000000000000000000000000000,3323,9,540,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.273487080805677906791828490896,84
724,724_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1729,9,2387,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.598429632337906136640981458186,71
725,725_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4467,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,67
726,726_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1991,9,4309,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,29
727,727_0,FAILED,BoTorch,BOTORCH_MODULAR,,,824,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,74
728,728_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,4501,9,4784,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.501104273536175925940483466547,37
729,729_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,677,9,2258,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.528788216197389138173434730561,36
730,730_0,FAILED,BoTorch,BOTORCH_MODULAR,,,246,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,64
731,731_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,3498,9,2340,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,90
732,732_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,1203,9,3776,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,15
733,733_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,1755,9,216,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.503527734246015490349179799523,10
734,734_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,3085,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,12
735,735_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,769,9,1871,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,69
736,736_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2749,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,66
737,737_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2479,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.878766640972615253879496322043,70
738,738_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3126,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.020865087759160395181057268132,73
739,739_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,6.000000000000000000000000000000,1999,9,1366,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,65
740,740_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,1200,9,3977,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,87
741,741_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3734,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.522254104856495260378324019257,73
742,742_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,71
743,743_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3331,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,58
744,744_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,1,9,3919,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,50
745,745_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
746,746_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,5000,9,375,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
747,332_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
748,748_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,478,9,2159,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.493836771578383348924035090022,31
749,749_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,4264,9,4789,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.390132920837053975837704911100,90
750,750_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,3513,9,599,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.532257998083876859851670815260,15
751,751_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3932,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.542943757178321328993320094014,65
752,752_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4476,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
753,753_0,FAILED,BoTorch,BOTORCH_MODULAR,,,511,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,72
754,754_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2204,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
755,755_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,9.000000000000000000000000000000,1,9,4705,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
756,756_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2509,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999888089519117784,1
757,757_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,2156,9,2707,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.667867841010121532363541518862,12
758,758_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,4388,9,1591,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.500813012869371187996136995935,11
759,759_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,3068,9,3357,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,71
760,760_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,2341,9,1147,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,72
761,761_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1,9,375,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.545574393654942313425237898628,37
762,762_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,4751,9,2945,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.419310942927772489774440600740,20
763,763_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,11.000000000000000000000000000000,1800,9,1618,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
764,764_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,1921,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,25
765,765_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4484,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.661351360058276216413730708155,60
766,766_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,3390,9,1432,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.555164838693086415410959943983,29
767,767_0,FAILED,BoTorch,BOTORCH_MODULAR,,,842,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,67
768,768_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1438,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.477491574121485407022902336394,71
769,769_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2803,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.450848813567897799270411951511,100
770,770_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1650,9,3867,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.490137704385136707685433066217,39
771,771_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,7.000000000000000000000000000000,3340,9,3658,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,84
772,772_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,62
773,773_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3131,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,59
774,569_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,72
775,491_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
776,776_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2935,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,66
777,777_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,59
778,778_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,4857,9,1588,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,11
779,779_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2404,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,76
780,780_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,63
781,781_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
782,782_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,7.000000000000000000000000000000,4397,9,848,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,40
783,783_0,FAILED,BoTorch,BOTORCH_MODULAR,,,89,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,71
784,784_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2135,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,53
785,785_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,3967,9,3833,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,72
786,786_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,223,9,338,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,60
787,787_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,4485,9,4736,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,91
788,788_0,FAILED,BoTorch,BOTORCH_MODULAR,,,471,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.347919412678139194916582255246,65
789,789_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,11.000000000000000000000000000000,5000,9,1935,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
790,790_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1221,9,2645,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,86
791,791_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,2466,9,1027,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,90
792,259_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
793,793_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,3254,9,3281,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,13
794,794_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,5000,9,3889,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,10
795,795_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1682,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,56
796,796_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,826,9,952,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,3
797,797_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,339,9,1200,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,11
798,798_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,52
799,799_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1,9,4583,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,37
800,800_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,5000,9,4356,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
801,801_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,5000,9,4733,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,46
802,802_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,4831,9,2599,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.374419019733921887294059160922,100
803,803_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,63
804,804_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1331,9,189,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.617505835801738345303135702125,56
805,805_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,4396,9,1864,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.669411766179955458611061658303,64
806,431_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
807,807_0,FAILED,BoTorch,BOTORCH_MODULAR,,,72,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
808,808_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,4209,9,3859,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,72
809,809_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,8.000000000000000000000000000000,5000,9,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,44
810,810_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,4572,9,2801,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
811,811_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,5000,9,2686,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,92
812,812_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,4125,9,4758,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.667632296374205624900355360296,51
813,813_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4513,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.475542014168949478403192188125,1
814,814_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,6.000000000000000000000000000000,1376,9,2251,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
815,815_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,72
816,816_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,7.000000000000000000000000000000,3076,9,1703,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,87
817,817_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,2843,9,4742,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.520577962737071575638481135684,7
818,584_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
819,819_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,400,9,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.360545577813167150704742880407,73
820,820_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
821,821_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,681,9,412,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,29
822,822_0,FAILED,BoTorch,BOTORCH_MODULAR,,,556,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.062969266187032635340159458792,100
823,823_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,1022,9,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,90
824,824_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3.000000000000000000000000000000,4259,9,1442,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.003227369332484344641165385781,65
825,825_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.949656349972834434858270924451,100
826,826_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998439896587816733131148794200,1
827,827_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1987,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
828,742_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,71
829,360_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
830,830_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3989,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
831,831_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3471,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,62
832,832_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
833,833_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,5000,9,2037,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,86
834,834_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.900427226150539827820296068239,1
835,835_0,FAILED,BoTorch,BOTORCH_MODULAR,,,620,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,26
836,836_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,5.000000000000000000000000000000,4648,9,2733,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,57
837,837_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,46
838,838_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2941,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,68
839,839_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
840,840_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1191,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,72
841,841_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3678,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,69
842,842_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,6.000000000000000000000000000000,5000,9,4277,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,75
843,843_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,8.000000000000000000000000000000,4654,9,1759,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
844,844_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,4.000000000000000000000000000000,867,9,3377,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.699049862197572258182276527805,39
845,845_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2673,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,69
846,846_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1372,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,76
</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">
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4628070/4628070_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4629886/4629886_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4632087/4632087_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4632568/4632568_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4637093/4637093_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4637429/4637429_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4637703/4637703_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4638015/4638015_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4639989/4639989_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4640976/4640976_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4642055/4642055_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4643220/4643220_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4644118/4644118_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4644860/4644860_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4645243/4645243_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4646036/4646036_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4647215/4647215_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4648006/4648006_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4648589/4648589_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4649101/4649101_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4651001/4651001_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4651537/4651537_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4652020/4652020_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4653109/4653109_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4653590/4653590_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4654241/4654241_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4654926/4654926_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4655549/4655549_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4656510/4656510_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4657817/4657817_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4658111/4658111_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4658810/4658810_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4660474/4660474_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4661061/4661061_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4661485/4661485_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4662324/4662324_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4662739/4662739_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4663139/4663139_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4663529/4663529_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4663857/4663857_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4664186/4664186_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4665194/4665194_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4665636/4665636_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4666579/4666579_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4667196/4667196_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4667908/4667908_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4668517/4668517_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4668854/4668854_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4669122/4669122_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4669735/4669735_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4670775/4670775_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4671365/4671365_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4671875/4671875_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4672744/4672744_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4673214/4673214_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4674461/4674461_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4674921/4674921_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4676106/4676106_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4676519/4676519_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4677276/4677276_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4677780/4677780_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4678361/4678361_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4680376/4680376_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4680774/4680774_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4682228/4682228_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4684228/4684228_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4684417/4684417_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685128/4685128_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685634/4685634_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685835/4685835_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4686074/4686074_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4686972/4686972_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687217/4687217_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687493/4687493_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4689504/4689504_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4691249/4691249_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4692080/4692080_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4693574/4693574_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4693983/4693983_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4694733/4694733_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4695695/4695695_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4696693/4696693_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4697069/4697069_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4697431/4697431_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4698102/4698102_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4698644/4698644_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4699589/4699589_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4700229/4700229_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4700568/4700568_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4701233/4701233_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4702461/4702461_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4704057/4704057_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4705467/4705467_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4706236/4706236_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4708299/4708299_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4708619/4708619_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4708956/4708956_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4710673/4710673_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4711470/4711470_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4712606/4712606_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4715029/4715029_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4715501/4715501_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4715856/4715856_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4716852/4716852_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4717360/4717360_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4717704/4717704_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4718563/4718563_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4719452/4719452_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4721194/4721194_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4721636/4721636_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4722158/4722158_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4722562/4722562_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4723284/4723284_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4727606/4727606_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4728374/4728374_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4728756/4728756_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4729137/4729137_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4730378/4730378_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4731027/4731027_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4731381/4731381_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4731751/4731751_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4732071/4732071_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4732442/4732442_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4733195/4733195_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4733737/4733737_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4734116/4734116_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4735200/4735200_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4735680/4735680_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4737201/4737201_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4739137/4739137_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4741248/4741248_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4742964/4742964_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4745217/4745217_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4746327/4746327_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4746893/4746893_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4749447/4749447_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4750520/4750520_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4752049/4752049_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4752825/4752825_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4753660/4753660_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4754998/4754998_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4755364/4755364_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4755769/4755769_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4756263/4756263_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4756698/4756698_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4757096/4757096_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4757530/4757530_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4757967/4757967_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4758831/4758831_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4759393/4759393_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4760179/4760179_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4760611/4760611_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4760983/4760983_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4761433/4761433_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4761875/4761875_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4763604/4763604_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_OutdoorObjects_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">1745405770.014668,20,0,0
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1745586115.2843552,20,1,5
1745586117.2775278,20,2,10
1745586117.9379249,20,2,10
1745586134.1182854,20,1,5
1745586134.3214695,20,1,5
1745587569.6209514,20,1,5
1745587570.0131645,20,1,5
1745587571.438602,20,2,10
1745587571.7639024,20,2,10
1745587589.213209,20,1,5
1745587589.425145,20,1,5
1745588420.2337458,20,1,5
1745588420.5584223,20,1,5
1745588422.1101496,20,2,10
1745588422.4265702,20,2,10
1745588438.5614102,20,1,5
1745588438.8665524,20,1,5
1745589304.7017467,20,1,5
1745589305.0149598,20,1,5
1745589306.44879,20,2,10
1745589306.7883635,20,2,10
1745589322.4274006,20,1,5
1745589322.8794208,20,1,5
1745590074.9951038,20,1,5
1745590075.3436046,20,1,5
1745590077.0764837,20,2,10
1745590077.3928738,20,2,10
1745590092.247671,20,1,5
1745590092.4634776,20,1,5
1745590993.858957,20,1,5
1745590994.169388,20,1,5
1745590995.579542,20,2,10
1745590995.89569,20,2,10
1745591011.2892954,20,1,5
1745591011.5845757,20,1,5
1745591850.2669113,20,1,5
1745591851.8585052,20,1,5
1745591853.3281395,20,2,10
1745591853.675186,20,2,10
1745591868.3482175,20,1,5
1745591868.8351953,20,1,5
1745592912.32854,20,1,5
1745592912.9334722,20,1,5
1745592914.3386652,20,2,10
1745592914.8983357,20,2,10
1745592929.177631,20,1,5
1745592929.3863485,20,1,5
1745594145.8615856,20,1,5
1745594146.1755965,20,1,5
1745594147.6905382,20,2,10
1745594149.9940045,20,2,10
1745594165.1000352,20,1,5
1745594165.1792924,20,1,5
1745595058.191581,20,1,5
1745595058.5189059,20,1,5
1745595060.0598128,20,2,10
1745595060.3826137,20,2,10
1745595075.460681,20,1,5
1745595075.8840706,20,1,5
1745596436.6181629,20,1,5
1745596437.0109417,20,1,5
1745596438.4409053,20,2,10
1745596438.7955353,20,2,10
1745596455.4095197,20,1,5
1745596455.8593173,20,1,5
1745597541.507273,20,1,5
1745597542.0303395,20,1,5
1745597543.528442,20,2,10
1745597544.1112773,20,2,10
1745597559.4278464,20,1,5
1745597559.8800194,20,1,5
1745598762.7751658,20,1,5
1745598763.105517,20,1,5
1745598764.5431771,20,2,10
1745598764.9106624,20,2,10
1745598781.0931604,20,1,5
1745598781.2850864,20,1,5
1745599695.8074872,20,1,5
1745599696.127109,20,1,5
1745599697.5832984,20,2,10
1745599697.9149184,20,2,10
1745599714.3399458,20,1,5
1745599714.8181605,20,1,5
1745600482.9563427,20,1,5
1745600483.2859023,20,1,5
1745600485.054265,20,2,10
1745600485.6108303,20,2,10
1745600501.3567538,20,1,5
1745600501.8935962,20,1,5
1745601640.5303428,20,1,5
1745601641.0387242,20,1,5
1745601642.4753315,20,2,10
1745601643.0403874,20,2,10
1745601658.5018113,20,1,5
1745601658.8890963,20,1,5
1745602524.2856622,20,1,5
1745602524.708433,20,1,5
1745602526.1526217,20,2,10
1745602526.7738013,20,2,10
1745602542.134285,20,1,5
1745602542.3282135,20,1,5
1745603635.88938,20,1,5
1745603636.215933,20,1,5
1745603637.8236997,20,2,10
1745603638.1433296,20,2,10
1745603654.285658,20,1,5
1745603654.6300638,20,1,5
1745603665.310569,20,1,5
1745603670.886618,20,1,5
1745603681.6372316,20,0,0
1745603696.9420824,20,0,0
1745604918.5671136,20,0,0
1745604918.8032246,20,0,0
1745604920.2533655,20,1,5
1745604930.9474068,20,1,5
1745605774.1793687,20,1,5
1745605774.5288215,20,1,5
1745605776.0621414,20,2,10
1745605776.6690238,20,2,10
1745605792.809675,20,1,5
1745605793.0066197,20,1,5
1745607045.011112,20,1,5
1745607045.3353848,20,1,5
1745607047.0626173,20,2,10
1745607047.6328573,20,2,10
1745607063.6462665,20,1,5
1745607063.8975992,20,1,5
1745607964.8617928,20,1,5
1745607965.1775696,20,1,5
1745607966.675445,20,2,10
1745607966.9908319,20,2,10
1745607983.238738,20,1,5
1745607983.4900632,20,1,5
1745609253.2579982,20,1,5
1745609253.6420994,20,1,5
1745609255.07087,20,2,10
1745609255.6229284,20,2,10
1745609271.5657017,20,1,5
1745609271.8786778,20,1,5
1745610456.820867,20,1,5
1745610457.158186,20,1,5
1745610458.6393435,20,2,10
1745610459.186858,20,2,10
1745610474.7904112,20,1,5
1745610474.993541,20,1,5
1745611563.4152288,20,1,5
1745611563.9956028,20,1,5
1745611565.4038749,20,2,10
1745611565.6882539,20,2,10
1745611580.8712766,20,1,5
1745611581.0644214,20,1,5
1745612399.3588843,20,1,5
1745612399.981409,20,1,5
1745612401.4053879,20,2,10
1745612402.0004187,20,2,10
1745612417.2925856,20,1,5
1745612417.5705073,20,1,5
1745613718.2630405,20,1,5
1745613718.6419554,20,1,5
1745613720.0953283,20,2,10
1745613720.6732943,20,2,10
1745613736.6175287,20,1,5
1745613736.9029298,20,1,5
1745614847.8589334,20,1,5
1745614848.1912756,20,1,5
1745614849.6876214,20,2,10
1745614849.9991493,20,2,10
1745614866.8599756,20,1,5
1745614867.0558994,20,1,5
1745615616.4272625,20,1,5
1745615617.0021918,20,1,5
1745615618.4157684,20,2,10
1745615618.9821842,20,2,10
1745615635.0653837,20,1,5
1745615635.2677975,20,1,5
1745616865.996078,20,1,5
1745616866.3198872,20,1,5
1745616868.0521765,20,2,10
1745616868.59899,20,2,10
1745616884.9475863,20,1,5
1745616885.1317112,20,1,5
1745617955.2540076,20,1,5
1745617955.6367888,20,1,5
1745617957.099043,20,2,10
1745617957.6670702,20,2,10
1745617973.1041465,20,1,5
1745617973.3277338,20,1,5
1745619188.875562,20,1,5
1745619189.1819,20,1,5
1745619190.627107,20,2,10
1745619191.252347,20,2,10
1745619206.8418453,20,1,5
1745619207.027832,20,1,5
1745620006.7755272,20,1,5
1745620007.0983675,20,1,5
1745620008.526244,20,2,10
1745620008.8532696,20,2,10
1745620025.3809643,20,1,5
1745620025.849855,20,1,5
1745620820.119189,20,1,5
1745620820.4343493,20,1,5
1745620822.0575619,20,2,10
1745620822.6129606,20,2,10
1745620838.408506,20,1,5
1745620838.8694782,20,1,5
1745621921.2935321,20,1,5
1745621921.708385,20,1,5
1745621923.1207747,20,2,10
1745621923.7005672,20,2,10
1745621939.1703653,20,1,5
1745621939.3629086,20,1,5
1745623245.5033596,20,1,5
1745623246.0049887,20,1,5
1745623247.4304016,20,2,10
1745623247.7532365,20,2,10
1745623265.4174297,20,1,5
1745623265.4979215,20,1,5
1745624366.292339,20,1,5
1745624366.716442,20,1,5
1745624368.1608,20,2,10
1745624368.4971874,20,2,10
1745624384.6179023,20,1,5
1745624384.8948705,20,1,5
1745625194.3499796,20,1,5
1745625194.9770873,20,1,5
1745625196.4028664,20,2,10
1745625196.9664207,20,2,10
1745625212.2169602,20,1,5
1745625212.5255938,20,1,5
1745625223.5012338,20,1,5
1745625229.072502,20,1,5
1745625239.3609326,20,0,0
1745625254.6316738,20,0,0
1745626504.361996,20,0,0
1745626504.6014137,20,0,0
1745626506.1285524,20,1,5
1745626515.8710256,20,1,5
1745627671.4095871,20,1,5
1745627672.029968,20,1,5
1745627673.4592292,20,2,10
1745627674.1043694,20,2,10
1745627689.6834838,20,1,5
1745627689.8786192,20,1,5
1745628476.8310783,20,1,5
1745628477.1645818,20,1,5
1745628478.6708066,20,2,10
1745628479.2915764,20,2,10
1745628495.4746292,20,1,5
1745628495.888897,20,1,5
1745629614.518941,20,1,5
1745629615.0042772,20,1,5
1745629616.4288552,20,2,10
1745629617.104782,20,2,10
1745629633.2412987,20,1,5
1745629633.4459407,20,1,5
1745630930.6313567,20,1,5
1745630931.0897367,20,1,5
1745630932.532773,20,2,10
1745630932.8831232,20,2,10
1745630950.7814622,20,1,5
1745630950.9840107,20,1,5
1745632343.3817763,20,1,5
1745632343.9901338,20,1,5
1745632346.473724,20,2,10
1745632347.053032,20,2,10
1745632363.834774,20,1,5
1745632364.0351558,20,1,5
1745633813.1395986,20,1,5
1745633813.4862149,20,1,5
1745633815.116173,20,2,10
1745633815.471326,20,2,10
1745633833.659535,20,1,5
1745633833.7583115,20,1,5
1745635101.094066,20,1,5
1745635101.4479654,20,1,5
1745635103.0826774,20,2,10
1745635103.6731858,20,2,10
1745635119.845447,20,1,5
1745635120.0383065,20,1,5
1745636363.1221166,20,1,5
1745636363.4400065,20,1,5
1745636365.059465,20,2,10
1745636365.6790173,20,2,10
1745636380.5874894,20,1,5
1745636380.8749075,20,1,5
1745637392.7984507,20,1,5
1745637393.1193495,20,1,5
1745637394.517989,20,2,10
1745637394.822571,20,2,10
1745637411.4614794,20,1,5
1745637411.8833346,20,1,5
1745638333.7131338,20,1,5
1745638334.0488276,20,1,5
1745638335.4832635,20,2,10
1745638336.0371716,20,2,10
1745638351.042471,20,1,5
1745638351.2313452,20,1,5
1745639535.982531,20,1,5
1745639536.3143384,20,1,5
1745639538.1160195,20,2,10
1745639538.4457386,20,2,10
1745639554.448981,20,1,5
1745639554.875584,20,1,5
1745640297.1659923,20,1,5
1745640297.493218,20,1,5
1745640299.0546517,20,2,10
1745640299.6124864,20,2,10
1745640315.3894265,20,1,5
1745640315.8603005,20,1,5
1745641387.4785457,20,1,5
1745641388.026203,20,1,5
1745641389.4321487,20,2,10
1745641389.7555125,20,2,10
1745641406.3015265,20,1,5
1745641406.639312,20,1,5
1745642467.6769307,20,1,5
1745642468.023938,20,1,5
1745642469.4378965,20,2,10
1745642470.0101495,20,2,10
1745642486.3178058,20,1,5
1745642486.7869666,20,1,5
1745643693.7098982,20,1,5
1745643694.1045544,20,1,5
1745643695.5424528,20,2,10
1745643696.1121378,20,2,10
1745643712.2258642,20,1,5
1745643712.4242682,20,1,5
1745644684.9642699,20,1,5
1745644685.3226,20,1,5
1745644687.0825236,20,2,10
1745644687.403932,20,2,10
1745644705.2053156,20,1,5
1745644705.413218,20,1,5
1745645730.0115452,20,1,5
1745645730.3444793,20,1,5
1745645732.1012638,20,2,10
1745645732.4614182,20,2,10
1745645749.19222,20,1,5
1745645749.393041,20,1,5
1745647021.0927737,20,1,5
1745647021.4021873,20,1,5
1745647023.0524714,20,2,10
1745647023.388727,20,2,10
1745647039.9836674,20,1,5
1745647040.1811776,20,1,5
1745648173.4160588,20,1,5
1745648174.0039194,20,1,5
1745648175.4385977,20,2,10
1745648175.7504916,20,2,10
1745648191.937496,20,1,5
1745648193.2395375,20,1,5
</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
1745405769,644.421875,37.1
1745405769,644.4453125,37.3
1745405770,644.4453125,38.0
1745405770,644.4453125,40.0
1745405770,644.4453125,25.0
1745405770,644.4453125,37.3
1745405770,644.4453125,35.4
1745406335,691.18359375,40.1
1745406335,691.18359375,30.8
1745406335,691.18359375,33.1
1745406335,691.18359375,37.2
1745418838,904.95703125,34.1
1745418838,904.95703125,37.8
1745418838,904.95703125,36.8
1745418838,904.95703125,37.8
1745429638,925.7578125,33.7
1745429638,925.7578125,40.4
1745429638,925.7578125,38.5
1745429638,925.7578125,37.9
1745443940,956.9140625,40.8
1745443940,956.9140625,34.3
1745443940,956.9140625,33.1
1745443940,956.9140625,37.9
1745456079,953.80078125,33.7
1745456079,953.80078125,35.0
1745456079,953.80078125,34.1
1745456079,953.80078125,35.7
1745468751,974.01171875,36.7
1745468751,974.01171875,39.9
1745468751,974.01171875,40.1
1745468751,974.01171875,39.6
1745483002,1049.75390625,34.5
1745483002,1049.75390625,33.2
1745483002,1049.75390625,31.1
1745483002,1049.75390625,36.8
1745498739,985.0234375,30.2
1745498739,985.0234375,24.0
1745498739,985.0234375,23.2
1745498739,985.0234375,26.7
1745515939,1050.76953125,30.6
1745515939,1050.76953125,26.5
1745515940,1050.76953125,26.7
1745515940,1050.76953125,22.2
1745529289,1086.92578125,28.6
1745529289,1086.92578125,26.0
1745529289,1086.92578125,26.9
1745529289,1086.92578125,25.9
1745545973,1046.5546875,31.4
1745545973,1046.5546875,29.4
1745545973,1046.5546875,28.6
1745545973,1046.5546875,35.6
1745563693,1067.9453125,30.2
1745563693,1067.9453125,30.5
1745563693,1067.9453125,29.8
1745563693,1067.9453125,28.1
1745583328,1075.55078125,32.5
1745583328,1075.55078125,34.0
1745583328,1075.55078125,33.8
1745583328,1075.55078125,37.8
1745603665,1125.17578125,32.1
1745603665,1125.17578125,33.7
1745603665,1125.17578125,33.4
1745603665,1125.17578125,40.0
1745625223,1097.94921875,33.7
1745625223,1097.94921875,35.0
1745625223,1097.94921875,35.5
1745625223,1097.94921875,43.6
1745648204,1115.265625,31.3
1745648204,1115.265625,27.8
1745648204,1115.265625,28.6
1745648204,1115.265625,18.8
</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>
	</body>
</html>

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