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_0,0.680000000000000048849813083507,13.000000000000000000000000000000,1837,4,4746,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.159334658950567253921093424651,72
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,14.000000000000000000000000000000,3633,2,2358,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.560825864488258996054526051012,46
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,10.000000000000000000000000000000,3836,6,3738,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.356555293766781689068778860019,5
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,14.000000000000000000000000000000,633,0,1039,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.984189657384529681394269573502,80
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,12.000000000000000000000000000000,405,7,1595,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.384483334872871618248524328010,14
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.660000000000000031086244689504,13.000000000000000000000000000000,4703,1,4295,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.770354876138269917262846320227,89
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,26.000000000000000000000000000000,2790,5,551,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.071040536735206841201240024475,61
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.690000000000000057731597280508,11.000000000000000000000000000000,2088,3,2939,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.714175165273249201725036527932,37
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,12.000000000000000000000000000000,2277,6,213,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.440124958148226164134086957347,25
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,24.000000000000000000000000000000,2824,0,2513,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.841646600710228121045020088786,100
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,4667,4,1396,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.012895087828859685269433654753,51
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,16.000000000000000000000000000000,214,2,4008,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.640498980032280118557252990286,26
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,14.000000000000000000000000000000,1215,5,3315,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.228679085966199624468941919986,67
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.690000000000000057731597280508,10.000000000000000000000000000000,4262,3,703,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.614520155817270263831630927598,41
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,12.000000000000000000000000000000,3210,7,4457,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.288724874254316088428851116987,10
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.670000000000000039968028886506,19.000000000000000000000000000000,1257,1,2156,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.931889944463968222798655460792,84
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,12.000000000000000000000000000000,1518,7,2749,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.518238508710637701959456080658,13
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,61.000000000000000000000000000000,3315,1,137,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.140041938198730342435283091618,88
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,17.000000000000000000000000000000,4216,5,3773,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.963984053621068648354253127764,64
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.690000000000000057731597280508,9.000000000000000000000000000000,1013,3,1474,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.312931597603484989988942288619,38
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,11.000000000000000000000000000000,138,4,936,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.805761968068778533513807360578,54
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,14.000000000000000000000000000000,4435,2,3237,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.411946161765605223248343236264,29
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,14.000000000000000000000000000000,3075,6,1924,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.740845036439597648403321272781,22
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,2372,0,4536,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.105291365642100578914330810676,97
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,2017,5,2279,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.860924112709239075513778516324,59
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.690000000000000057731597280508,9.000000000000000000000000000000,2563,3,4979,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.482757983868941642491279253591,34
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,4949,7,1118,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.684168375881388790560322377132,17
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.660000000000000031086244689504,13.000000000000000000000000000000,496,1,3506,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.033085448449477555810105400269,92
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,19.000000000000000000000000000000,889,6,4219,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.587103028610348687266196066048,2
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,12.000000000000000000000000000000,3937,0,1831,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.193256750892847772860250188387,77
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,3300,3,3473,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,11
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,4515,3,3905,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.294888450275804681055547007418,34
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,4593,3,3164,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1994,7,3512,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,18
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,225,3,2076,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.451763076063219137790127888366,59
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,30.000000000000000000000000000000,1373,2,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,23
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,5000,3,3098,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,261,3,794,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,42
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,410,3,1462,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.611132172065002698957414395409,49
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,3059,3,3865,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,54
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,28.000000000000000000000000000000,3107,2,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,716,2,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.525581887742896047832630301855,1
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,4996,3,3356,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,99
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,191,6,1454,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.475544227279242448513940644261,47
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,3753,2,3494,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.128815159820314106831062872516,21
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,649,3,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,61
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,5000,3,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,70
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,4201,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,4621,3,3618,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,8
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,3250,4,4095,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,27
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,2309,3,425,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.016455710186332524191943349479,18
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,2946,2,199,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,33
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,2,2680,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,27.000000000000000000000000000000,1153,3,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.498278218049951426849020208465,1
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3138,6,3446,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,9
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,4854,3,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,31
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,201,4,1681,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.364981045722114205709374346043,50
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,3837,3,4092,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,23
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,32.000000000000000000000000000000,1043,0,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.887100482582388383256954966782,6
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,1927,5,2388,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,5000,3,519,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,26
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1,3,518,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,25
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,224,3,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,13
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,5000,3,3763,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,273,3,4773,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,34
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,2701,3,557,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,26
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,5000,3,1296,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,55
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,689,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,226,3,529,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,30
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,4539,3,4344,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,39
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,4571,3,627,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,30
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,33.000000000000000000000000000000,5000,3,1402,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,677,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,5000,3,529,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,20
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,5000,3,543,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,3296,3,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,44
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,22.000000000000000000000000000000,5000,3,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,19.000000000000000000000000000000,960,3,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,92
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,5000,3,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,5
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,3812,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,84,3,4487,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,36
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,3570,3,3771,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,88
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,3753,3,3643,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,3695,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,16
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1147,3,3716,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,93
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,333,3,582,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,22
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,488,3,1492,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,15
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,15.000000000000000000000000000000,1232,3,1289,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,54
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1433,3,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,914,3,976,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.424989046320954688695792356157,16
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,4910,3,3677,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.508149650608748504332368156611,1
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,5000,3,4541,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.424036999357509380992325986881,36
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,1035,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,17
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,4567,3,4496,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.389034658482816209090771053525,53
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,1000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.325395943840634249699661495470,15
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,761,3,1044,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.397524207847247568192727840142,15
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,927,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,18
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,918,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,18
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,203,3,4172,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.522395626324032691378818071826,1
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,326,3,4358,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.860375489860791042850962639932,32
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,4918,3,3588,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.448802791499229858374064860982,1
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,4987,3,4851,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.095860476441774630784742328160,20
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,1289,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,2279,3,4388,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.441175184675830056590939420857,71
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,4475,3,4515,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.363076962071455178193701840428,53
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,5000,3,2848,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,62
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,1134,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.038737994876373985086992490778,3
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,5000,3,4752,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.774624496392227968044608132914,1
109,109_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,15
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,4769,3,884,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.509292441049001953778940787743,28
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,316,3,4969,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.620315004952797899306915496709,1
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,1,3,3784,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.340701382547946629575363886033,100
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1,3,3722,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,5000,3,3925,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.444367059348405868401954421643,16
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,2018,3,1509,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.542163461169180349585872136231,1
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,470,3,963,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,18
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,210,3,998,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.478046967039550130262881566523,12
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,2853,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,54
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,1036,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,12
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,3536,3,4163,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,64
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,2372,3,4150,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.525596712102726626447690705390,63
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,4884,3,1629,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,37
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,15.000000000000000000000000000000,5000,3,1542,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,32
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,114,3,1626,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.436305871536933675969294199604,35
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,4161,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,69
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,3421,3,1769,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,43
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,2923,3,4309,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,49
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1061,3,1647,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.623933793227982258500219359121,32
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,4564,3,2925,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,65
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,351,3,4252,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.362817084196181194322150531661,56
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,4942,3,4389,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.299106874623438379057205338540,59
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,3162,3,4339,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.553782680542246996679978110478,49
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,4436,3,4123,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,85
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,1046,3,1734,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,39
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,4147,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,62
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,4906,3,2409,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,41
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,2736,3,1709,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.541228886048272683773063818080,41
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,4817,3,1397,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.371374060261457417109198786420,28
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,4952,3,4218,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,55
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1897,3,4307,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.555050550014539290089032874675,48
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,12.000000000000000000000000000000,1,3,1586,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,28.000000000000000000000000000000,700,3,3157,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,2673,3,4221,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,49
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,51,3,3919,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.576458514198425753249921399402,1
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,4898,3,1652,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.658464997896245796127345784043,34
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,853,3,3041,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.862050745823930819611291553883,63
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,4721,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,47
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,630,3,4165,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.540129129924892481540155131370,59
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,1913,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,54
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,20.000000000000000000000000000000,1,3,2026,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,60
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,363,3,2338,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,1044,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,14
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,144,3,1633,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,57
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,973,3,2034,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,52
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,15.000000000000000000000000000000,4046,3,1833,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,62
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,2054,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,47
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1753,3,1871,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,55
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,1132,3,1989,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,59
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1,3,2045,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,64
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,1108,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,68
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,1,3,1294,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,58
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,17.000000000000000000000000000000,1,3,2022,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,64
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,2100,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,62
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,1,3,4016,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,1392.000000000000000000000000000000,1,3,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,49
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,2160,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,55
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,1,3,3236,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,27
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,439,3,2017,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,51
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1864,3,1517,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,86
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,821,3,1690,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,54
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,4412,3,1811,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,15.000000000000000000000000000000,4399,3,2107,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,59
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,15.000000000000000000000000000000,1,3,2004,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,72
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,4712,3,2066,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,54
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,582,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,19
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,721,3,495,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,63
178,178_0,FAILED,BoTorch,GenerationStep_1,,,2582,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,1,3,1601,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,57
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,17.000000000000000000000000000000,1,3,349,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,1,3,2737,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,44.000000000000000000000000000000,4975,3,1019,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,1,3,364,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,2173,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,17.000000000000000000000000000000,1,3,2759,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,1,3,349,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,17.000000000000000000000000000000,644,3,1088,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,5000,3,3052,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,39.000000000000000000000000000000,2394,3,1018,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,1,3,1103,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,4424,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,1,3,363,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,2245,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,1,3,1770,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,37.000000000000000000000000000000,2436,3,1025,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,5000,3,1017,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,3068,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,1,3,372,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,1,3,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,1,3,2669,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,2065,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,24.000000000000000000000000000000,5000,3,4761,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,36.000000000000000000000000000000,1,3,1027,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,5000,3,341,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,1,3,354,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,1,3,1094,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,2342,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,5000,3,2216,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1860,3,4814,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,2675,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
211,211_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,1402,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,4814,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,21.000000000000000000000000000000,1,3,2989,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,966,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,20
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,3854,3,2595,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,2297,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
218,218_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,3941,3,2450,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,21.000000000000000000000000000000,4877,3,3063,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,983,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,26
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,22.000000000000000000000000000000,3983,3,4165,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,15.000000000000000000000000000000,1,3,3509,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,925,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
225,225_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,3
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,21.000000000000000000000000000000,1297,3,2636,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,338,3,970,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,22
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1849,3,4815,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,4234,3,3658,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,46
230,230_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,1401,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,995,3,3170,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,27
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1,3,2344,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,21.000000000000000000000000000000,1,3,4181,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1,3,2640,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,66
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,4829,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,40
237,237_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,5000,3,2279,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,682,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
239,239_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,6
240,211_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
241,218_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,14.000000000000000000000000000000,3733,3,865,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,3208,3,3004,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
244,244_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,457,3,4012,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,63
246,230_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,256,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,1,3,879,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,39
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,2128,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,18.000000000000000000000000000000,942,3,59,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
251,251_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,18.000000000000000000000000000000,1,3,99,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,2289,3,4007,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,61
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,3406,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,18
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,3008,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
256,256_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,4398,3,2651,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,3066,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,33
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,17.000000000000000000000000000000,1,3,45,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,137,3,3996,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,64
261,261_0,FAILED,BoTorch,GenerationStep_1,,,2912,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,19
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,31,3,784,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,26
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,14.000000000000000000000000000000,2483,3,3524,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,46
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,65.000000000000000000000000000000,1,3,1015,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,2659,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,1572,3,857,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,27
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,259,3,4006,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,64
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,11.000000000000000000000000000000,3417,3,72,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,9
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,2759,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,42
270,270_0,FAILED,BoTorch,GenerationStep_1,,,2749,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
271,271_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
272,244_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
273,273_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
274,274_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
275,275_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
276,211_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,25.000000000000000000000000000000,5000,3,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,10.000000000000000000000000000000,2942,3,159,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,20
279,279_0,FAILED,BoTorch,GenerationStep_1,,,3814,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,27
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,25.000000000000000000000000000000,1,3,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,4346,3,399,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,24.000000000000000000000000000000,1,3,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
283,256_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,355,3,301,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,54
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,10.000000000000000000000000000000,962,3,345,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
286,286_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,24.000000000000000000000000000000,5000,3,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,10.000000000000000000000000000000,1062,3,250,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1522,3,296,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,2791,3,326,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,45
292,292_0,FAILED,BoTorch,GenerationStep_1,,,2669,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,21
293,293_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,24.000000000000000000000000000000,5000,3,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,4507,3,429,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,4854,3,424,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,10.000000000000000000000000000000,3782,3,439,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,398,3,230,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,22
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,4110,3,212,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,21
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,1938,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1454,3,978,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,22
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,10.000000000000000000000000000000,5000,3,273,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,3562,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1296,3,367,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1449,3,153,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,5000,3,949,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,5000,3,3975,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,4482,3,981,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,22
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,12.000000000000000000000000000000,33,3,117,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,11
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,4759,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,58
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,937,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,4474,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,45
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,181,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
314,314_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,3600,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,35
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,1050,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,3818,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,5000,3,4869,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,89
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1,3,979,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,22
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,14.000000000000000000000000000000,3501,3,55,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,3
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1,3,187,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,10.000000000000000000000000000000,5000,3,323,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,1316,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,5000,3,3820,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1673,3,4523,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,42
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,4330,3,373,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,45
326,326_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,14
327,327_0,FAILED,BoTorch,GenerationStep_1,,,3480,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,26
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,2545,3,1485,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,36
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,4296,3,440,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,17
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,2504,3,279,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,23
331,331_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,468,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,73
332,332_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,369,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,68
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,3207,3,200,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,20
334,334_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,3909,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,668,3,3351,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
336,336_0,FAILED,BoTorch,GenerationStep_1,,,4990,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,23
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,11.000000000000000000000000000000,605,3,92,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,20
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,631,3,2658,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,40
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,2121,3,553,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,60
340,340_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,5000,3,3376,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,24
341,341_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,5000,3,3852,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,5000,3,3409,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,26
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,5000,3,241,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1,3,3349,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,5
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,229,3,3785,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,41
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,3885,3,217,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,20
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1488,3,1545,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,468,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,71
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,996,3,4907,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,44
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,4556,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,29
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,5000,3,4175,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,37
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,12.000000000000000000000000000000,2517,3,136,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,21
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,23.000000000000000000000000000000,1514,3,1485,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,4733,3,315,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,13.000000000000000000000000000000,1039,3,123,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,21
356,356_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,2582,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,37
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,3126,3,735,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,15
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,4685,3,4744,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,32
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,4518,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,32
360,360_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,9.000000000000000000000000000000,5000,3,2700,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,38
361,361_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,22
362,362_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,307,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,72
363,363_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,3461,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,29
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,315,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
365,365_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,2506,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
366,366_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,17
367,367_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,2943,3,272,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,31
368,368_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,11.000000000000000000000000000000,1520,3,118,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,19
369,369_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,3308,3,37,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,19
370,370_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,5000,3,225,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
371,371_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,9.000000000000000000000000000000,5000,3,247,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
372,372_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,3555,3,670,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
373,373_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,3248,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34
374,374_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,10.000000000000000000000000000000,1800,3,329,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,28
375,375_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,10.000000000000000000000000000000,1,3,470,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
376,376_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,4615,3,64,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,20
377,377_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,794,3,2095,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,15
378,378_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,3693,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,4453,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,5000,3,2929,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,205,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,75
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,5000,3,611,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,57
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,5000,3,3756,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
384,384_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,3265,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,5000,3,4328,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,40
386,386_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,3703,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
387,387_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,19
388,388_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,3279,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
389,389_0,FAILED,BoTorch,GenerationStep_1,,,1956,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,16
390,390_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,4337,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,40
391,391_0,FAILED,BoTorch,GenerationStep_1,,,806,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,10
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,3060,3,2346,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,51
393,393_0,FAILED,BoTorch,GenerationStep_1,,,1497,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,19
394,394_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,17.000000000000000000000000000000,4539,3,4858,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,2012,3,968,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,17
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,3088,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
397,397_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,4769,3,4481,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,31
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,2788,3,19,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
399,399_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,3958,3,1586,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,1376,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,33
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,11.000000000000000000000000000000,1952,3,27,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,302,3,254,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,10.000000000000000000000000000000,523,3,355,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,73
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,4840,3,580,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,34
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,4893,3,4456,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,1977,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,3323,3,464,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,78
408,408_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,2476,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,31
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,2092,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
410,410_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,5000,3,2638,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,41
411,411_0,FAILED,BoTorch,GenerationStep_1,,,2583,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,4691,3,192,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
413,256_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
414,414_0,FAILED,BoTorch,GenerationStep_1,,,1725,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,27
415,415_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,12
416,416_0,FAILED,BoTorch,GenerationStep_1,,,1265,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,13
417,417_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,3032,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,4859,3,326,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,70
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,442,3,4124,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,37
420,420_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,3306,3,4120,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
421,421_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,4242,3,4630,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
422,422_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14
423,423_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,21
424,424_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,1967,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
425,425_0,FAILED,BoTorch,GenerationStep_1,,,2244,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24
426,426_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,5000,3,203,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
427,427_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,185,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
428,428_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,23
429,429_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,4657,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
430,430_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,5000,3,73,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
431,431_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,26
432,432_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,12.000000000000000000000000000000,5000,3,1982,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
433,433_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,205,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
434,434_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
435,435_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,3616,3,4314,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
436,436_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,128,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
437,437_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,3409,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,47
438,438_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,5000,3,3452,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,53
439,439_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,5
440,440_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,193,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
441,441_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1,3,48,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
442,442_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,4011,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,79
443,443_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,631,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,20
444,444_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,14.000000000000000000000000000000,2466,3,31,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,20
445,445_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,14.000000000000000000000000000000,3811,3,3430,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
446,446_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,120,3,3250,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,39
447,447_0,FAILED,BoTorch,GenerationStep_1,,,3430,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,25
448,448_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,2324,3,3312,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
449,449_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,4031,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
450,450_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,15.000000000000000000000000000000,439,3,3804,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
451,451_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,3014,3,2142,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,23
452,452_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,336,3,1318,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,25
453,453_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,383,3,965,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,5
454,454_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,4924,3,4471,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
455,455_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,4638,3,4161,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
456,456_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,4621,3,4522,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,30
457,457_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,5000,3,3863,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
458,458_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,119,3,3896,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
459,459_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1681,3,3425,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
460,460_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,2902,3,4466,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,20
461,461_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,3391,3,2011,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
462,462_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,15.000000000000000000000000000000,5000,3,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
463,463_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,3669,3,4332,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,37
464,464_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,3747,3,4172,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,37
465,465_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,4561,3,4200,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
466,466_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,3200,3,2672,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,39
467,467_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,2353,3,4518,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
468,468_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,4386,3,3435,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,14
469,469_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,86,3,4553,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,32
470,470_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,4131,3,4178,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,25
471,471_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,1,3,3701,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
472,472_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,3175,3,2728,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,28
473,473_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,60,3,2393,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
474,474_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,17.000000000000000000000000000000,323,3,3816,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
475,475_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,2231,3,4873,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
476,476_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,11.000000000000000000000000000000,395,3,1319,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,11
477,477_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,4170,3,4308,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
478,478_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,3692,3,1993,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,21
479,479_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,3532,3,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,41
480,480_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,2193,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
481,481_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,5000,3,2259,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
482,482_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,4938,3,2381,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,75
483,483_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,3072,3,1473,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,40
484,484_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,4437,3,2115,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,27
485,485_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,9.000000000000000000000000000000,1,3,2325,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
486,486_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,2081,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,31
487,487_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,2269,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,50
488,488_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,5000,3,4434,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,90
489,489_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,2304,3,2421,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,49
490,490_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,5000,3,1297,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
491,491_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,4536,3,1914,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
492,492_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,4450,3,1206,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
493,493_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,3879,3,1740,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
494,494_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,234,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
495,495_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,5000,3,3203,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
496,496_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,4756,3,1221,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
497,497_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,2510,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,69
498,498_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,2654,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,42
499,499_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,25.000000000000000000000000000000,1,3,3531,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
500,500_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,4606,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
501,501_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1955,3,4145,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,39
502,502_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,5000,3,3072,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
503,503_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,5000,3,4523,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
504,504_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,533,3,1479,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,46
505,505_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,5000,3,1230,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
506,506_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1,3,1221,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
507,507_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1,3,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
508,508_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,4850,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
509,509_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,5000,3,4022,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
510,510_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,15.000000000000000000000000000000,1599,5,2735,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.298128530800342572693040210652,60
511,511_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,21.000000000000000000000000000000,3324,0,208,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.662636007105931623684114128991,48
512,512_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,12.000000000000000000000000000000,4531,6,4939,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.139202133974060421328644565619,12
513,513_0,COMPLETED,Sobol,SOBOL,0.689999999999999946709294817992,13.000000000000000000000000000000,548,3,2453,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.776593088662251851417295256397,96
514,514_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,16.000000000000000000000000000000,996,7,1003,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.037262657007202507064569374506,17
515,515_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,25.000000000000000000000000000000,3927,2,3477,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.924156466996297276672578391299,78
516,516_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,22.000000000000000000000000000000,2596,4,1338,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.398788841327652354706856385747,65
517,517_0,COMPLETED,Sobol,SOBOL,0.660000000000000031086244689504,10.000000000000000000000000000000,2485,1,3851,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.513793453967198776588531927700,31
518,518_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,14.000000000000000000000000000000,2112,6,1835,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.086723055735230453189288368776,25
519,519_0,COMPLETED,Sobol,SOBOL,0.689999999999999946709294817992,9.000000000000000000000000000000,2968,3,4311,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.938532831758260743804100911802,82
520,520_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,12.000000000000000000000000000000,4263,5,836,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.479438643589615798301650784197,71
521,521_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,13.000000000000000000000000000000,661,0,3352,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.621730415195226648883419784397,36
522,522_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,19.000000000000000000000000000000,298,4,4479,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.314943330898880935464489994047,51
523,523_0,COMPLETED,Sobol,SOBOL,0.670000000000000039968028886506,10.000000000000000000000000000000,4782,1,1955,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.706734150737523991736566131294,44
524,524_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,14.000000000000000000000000000000,3616,7,2860,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.249573715105652821355519677127,5
525,525_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,47.000000000000000000000000000000,1308,2,376,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.851884442895650906280025083106,90
526,526_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,14.000000000000000000000000000000,1510,7,4096,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.632400121642276658029402369721,2
527,527_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,41.000000000000000000000000000000,3569,2,1581,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.267892638830468043931176680417,93
528,528_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,15.000000000000000000000000000000,4910,4,3255,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.806798450661823207674672175926,54
529,529_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,11.000000000000000000000000000000,12,1,777,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.169407481102272855499890624742,41
530,530_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,15.000000000000000000000000000000,279,3,282,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,17.000000000000000000000000000000,5000,3,282,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
532,532_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,82.000000000000000000000000000000,2224,3,264,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,93
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,20.000000000000000000000000000000,1267,3,4380,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
534,534_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,10.000000000000000000000000000000,4231,3,506,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,9
535,535_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,53.000000000000000000000000000000,171,3,499,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,99
536,536_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,65.000000000000000000000000000000,3408,3,474,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
537,537_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,31.000000000000000000000000000000,1,3,1182,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
538,538_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,16.000000000000000000000000000000,674,3,263,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
539,539_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,12.000000000000000000000000000000,1079,3,638,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
540,540_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,15.000000000000000000000000000000,1504,3,652,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
541,541_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,49.000000000000000000000000000000,1360,3,681,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
542,542_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,22.000000000000000000000000000000,396,3,4670,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.595682583591071179718312578188,1
543,543_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,17.000000000000000000000000000000,3046,3,966,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.824451791185231264158517205942,1
544,544_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,27.000000000000000000000000000000,2701,3,401,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,66
545,545_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,19.000000000000000000000000000000,3609,3,224,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.711662442455171406763270169904,1
546,546_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,15.000000000000000000000000000000,2273,3,224,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
547,547_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,12.000000000000000000000000000000,371,3,407,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,22
548,548_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,17.000000000000000000000000000000,2344,3,580,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.478567812208627207937183811737,1
549,549_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,18.000000000000000000000000000000,1408,3,2525,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
550,550_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,13.000000000000000000000000000000,710,3,253,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,29
551,551_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,16.000000000000000000000000000000,697,3,253,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,30
552,552_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,15.000000000000000000000000000000,1,3,768,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
553,553_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4994,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
554,554_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,33.000000000000000000000000000000,1547,3,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,94
555,555_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1000,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,93
556,556_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,53.000000000000000000000000000000,4830,3,1074,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,89
557,557_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1471,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,74
558,558_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,15.000000000000000000000000000000,4918,3,1123,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
559,559_0,FAILED,BoTorch,BOTORCH_MODULAR,,,563,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,35
560,560_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,19.000000000000000000000000000000,1824,3,2807,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
561,561_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,26.000000000000000000000000000000,5000,3,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
562,562_0,FAILED,BoTorch,BOTORCH_MODULAR,,,262,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.618314263847316691879996142234,100
563,563_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,17.000000000000000000000000000000,583,3,2060,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
564,564_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,26.000000000000000000000000000000,1,3,3925,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
565,565_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
566,566_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,17.000000000000000000000000000000,4513,3,1792,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
567,567_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1228,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,61
568,568_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,17.000000000000000000000000000000,1,3,1774,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
569,569_0,FAILED,BoTorch,BOTORCH_MODULAR,,,822,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,55
570,570_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3945,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,55
571,571_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,25
572,572_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,15.000000000000000000000000000000,4608,3,435,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
573,573_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3249,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,26
574,574_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,28.000000000000000000000000000000,2720,3,2804,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
575,575_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,29.000000000000000000000000000000,105,3,4200,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
576,576_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,12.000000000000000000000000000000,869,3,468,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,21
577,577_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3081,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,20
578,578_0,FAILED,BoTorch,BOTORCH_MODULAR,,,413,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,62
579,579_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3299,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,9
580,580_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,5000,3,324,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
581,581_0,FAILED,BoTorch,BOTORCH_MODULAR,,,218,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,30
582,582_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,63.000000000000000000000000000000,692,3,455,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
583,583_0,FAILED,BoTorch,BOTORCH_MODULAR,,,952,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
584,584_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,95.000000000000000000000000000000,333,3,443,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.730793886467865028144785810582,100
585,585_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,39.000000000000000000000000000000,3805,3,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.703132006592594005489615938131,1
586,586_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,17.000000000000000000000000000000,4222,3,1681,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
587,587_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3357,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
588,588_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,35.000000000000000000000000000000,4941,3,1142,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.554517825757371407568996346527,100
589,589_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,13.000000000000000000000000000000,530,3,1318,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.618934822347439350664899393450,1
590,590_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,16.000000000000000000000000000000,3937,3,598,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
591,591_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,115,3,1089,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,33
592,592_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,10.000000000000000000000000000000,4825,3,240,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,40
593,593_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,2310.000000000000000000000000000000,1,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,54
594,594_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2668,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,67
595,595_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,19.000000000000000000000000000000,4598,3,2409,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
596,251_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
597,597_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3670,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,74
598,598_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4416,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,51
599,251_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
600,600_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,67
601,601_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,26.000000000000000000000000000000,2095,3,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
602,602_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,2192,3,1361,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,19
603,603_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,2672,3,710,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,43
604,604_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2560,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.312945409156277221107700370339,83
605,605_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,18.000000000000000000000000000000,87,3,3867,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,54
606,606_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,12.000000000000000000000000000000,1497,3,3522,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,56
607,607_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,22.000000000000000000000000000000,4466,3,2536,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,98
608,608_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,19.000000000000000000000000000000,4939,3,872,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,62
609,609_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,17.000000000000000000000000000000,1,3,3590,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
610,610_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,452,3,3316,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,52
611,611_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,4069,3,2831,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,50
612,612_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,20.000000000000000000000000000000,2611,3,752,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,69
613,286_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
614,614_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,137,3,889,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,44
615,615_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,28.000000000000000000000000000000,4917,3,1570,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
616,616_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
617,617_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,28.000000000000000000000000000000,5000,3,2645,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
618,618_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,23.000000000000000000000000000000,3052,3,768,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
619,619_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,4292,3,2400,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
620,620_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,17.000000000000000000000000000000,566,3,325,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,49
621,621_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,12.000000000000000000000000000000,372,3,1112,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,64
622,622_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,13.000000000000000000000000000000,1802,3,216,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.024921890295273429333233750071,17
623,623_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,15.000000000000000000000000000000,4837,3,284,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.528891923310911726829885992629,41
624,624_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1917,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,80
625,625_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4211,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.655671422662350233956374268018,47
626,626_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1440,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,37
627,627_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,2740,3,1650,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,47
628,628_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3877,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.103995246949624739474238310777,80
629,629_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,123.000000000000000000000000000000,1892,3,20,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,47
630,630_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,15.000000000000000000000000000000,1101,3,462,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,46
631,631_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,2594,3,447,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,46
632,632_0,FAILED,BoTorch,BOTORCH_MODULAR,,,729,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,85
633,633_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,12.000000000000000000000000000000,4508,3,708,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,46
634,634_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,17.000000000000000000000000000000,4651,3,897,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,46
635,635_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,26.000000000000000000000000000000,1736,3,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
636,636_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,15.000000000000000000000000000000,854,3,952,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.687210520667470903255491521122,49
637,637_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,1411,3,67,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,41
638,638_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,10.000000000000000000000000000000,1809,3,2544,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,65
639,639_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,18.000000000000000000000000000000,2678,3,1557,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.850018080188401525809638314968,89
640,640_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,23.000000000000000000000000000000,256,3,296,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.525536901305468484579819232749,41
641,641_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,16.000000000000000000000000000000,3679,3,2267,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.622521925760405547833897799137,69
642,642_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,12.000000000000000000000000000000,4730,3,573,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,29
643,643_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,346,3,2389,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,24
644,644_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,20.000000000000000000000000000000,4388,3,318,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.754300029562302021268749285809,46
645,645_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,29.000000000000000000000000000000,2375,3,737,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.173891822860019668040010287768,87
646,646_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,16.000000000000000000000000000000,977,3,118,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.077869538673892235713935860986,38
647,647_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,12.000000000000000000000000000000,1064,3,3788,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.546742430885800323459022820316,76
648,648_0,FAILED,BoTorch,BOTORCH_MODULAR,,,910,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
649,649_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,4961,3,163,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.045319281034248731776514773628,37
650,271_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
651,651_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,2820,3,706,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
652,652_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,54.000000000000000000000000000000,5000,3,629,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
653,251_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
654,654_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,2713,3,849,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,53
655,655_0,FAILED,BoTorch,BOTORCH_MODULAR,,,161,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.186421425536484136609161055276,77
656,251_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
657,271_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
658,658_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
659,659_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,60.000000000000000000000000000000,5000,3,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,45
660,660_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,1,3,1248,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,3
661,661_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,10.000000000000000000000000000000,1283,3,2592,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.597404000093931797366053615406,60
662,662_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2916,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,42
663,663_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.179863141862159708894708387561,1
664,271_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
665,665_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,4833,3,54,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.210130242584335796829364539917,16
666,658_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
667,667_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1936,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.492194778678468225496800414476,32
668,668_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,25.000000000000000000000000000000,296,3,252,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.343109647491146418918361860051,61
669,669_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,16.000000000000000000000000000000,3731,3,19,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,8
670,670_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,11.000000000000000000000000000000,5000,3,370,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,25
671,230_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
672,672_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,30.000000000000000000000000000000,519,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
673,673_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,41.000000000000000000000000000000,2955,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
674,674_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4711,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,94
675,675_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,39.000000000000000000000000000000,2827,3,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
676,658_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
677,677_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,1141.000000000000000000000000000000,976,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,47
678,678_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1570,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,20
679,679_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,46.000000000000000000000000000000,2367,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,8
680,680_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1739,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,8
681,681_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,16.000000000000000000000000000000,3313,3,310,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.013993930238051701525625603040,46
682,682_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4991,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
683,683_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,12.000000000000000000000000000000,1124,3,376,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
684,684_0,FAILED,BoTorch,BOTORCH_MODULAR,,,993,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
685,685_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,29.000000000000000000000000000000,3697,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
686,686_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4982,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
687,687_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3768,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
688,251_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
689,689_0,FAILED,BoTorch,BOTORCH_MODULAR,,,988,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
690,251_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
691,691_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1055,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
692,434_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
693,693_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4830,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
694,694_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1895,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
695,695_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3681,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.253777897471828051134679071765,1
696,696_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,19.000000000000000000000000000000,1705,3,629,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
697,251_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
698,698_0,FAILED,BoTorch,BOTORCH_MODULAR,,,942,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
699,699_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.659672522526684845800559742202,1
700,230_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
701,701_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3726,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
702,702_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,39.000000000000000000000000000000,2824,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.028560520473305737315650176811,1
703,703_0,FAILED,BoTorch,BOTORCH_MODULAR,,,966,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
704,251_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
705,705_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4968,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
706,706_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1804,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
707,707_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4941,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
708,251_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
709,709_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1080,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
710,710_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4887,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
711,711_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3722,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
712,712_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1088,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
713,713_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1720,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.966165700611119504515045264270,1
714,714_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4784,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
715,715_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4833,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
716,658_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
717,717_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1414,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
718,251_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
719,719_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1130,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
720,720_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3712,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
721,721_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4681,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
722,722_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2007,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
723,230_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
724,724_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,36.000000000000000000000000000000,4505,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
725,251_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
726,726_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1393,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
727,727_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1003,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
728,728_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3107,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
729,729_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4874,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
730,730_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,16.000000000000000000000000000000,787,3,938,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.329924565546276749028464791991,1
731,731_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4989,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.331342535213623334833243916364,1
732,732_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1141,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
733,733_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,18.000000000000000000000000000000,3258,3,370,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
734,734_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,48.000000000000000000000000000000,2368,3,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
735,735_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4987,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
736,736_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1223,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
737,737_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4977,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
738,738_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1974,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
739,251_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
740,740_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,28.000000000000000000000000000000,3194,3,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
741,741_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4948,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
742,742_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1967,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
743,743_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,951,3,889,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
744,744_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1952,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
745,745_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,15,3,285,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,43
746,746_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2948,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,44
747,747_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3196,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.506075687964794518336475448450,10
748,748_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,19.000000000000000000000000000000,739,3,590,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.013511322763942627128708195983,43
749,749_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,13.000000000000000000000000000000,158,3,344,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,41
750,750_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,3525,3,501,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.136608536966688731695285241585,42
751,751_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,795.000000000000000000000000000000,3575,3,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,40
752,752_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,16.000000000000000000000000000000,396,3,161,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.571280490140362862128142751317,37
753,753_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,15.000000000000000000000000000000,883,3,417,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.193796607314604074634445396441,46
754,754_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,23.000000000000000000000000000000,299,3,18,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.477186555720829352900125286396,1
755,755_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,2945,3,412,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,54
756,756_0,FAILED,BoTorch,BOTORCH_MODULAR,,,11,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,17
757,757_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,27.000000000000000000000000000000,2762,3,368,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,60
758,758_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,13.000000000000000000000000000000,1566,3,91,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,46
759,759_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,4340,3,194,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,9
760,760_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,22.000000000000000000000000000000,917,3,418,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,56
761,761_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,21.000000000000000000000000000000,3781,3,160,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,45
762,762_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,4116,3,237,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34
763,763_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,29.000000000000000000000000000000,4777,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.755519172101410396713561112847,1
764,764_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,76
765,765_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,55.000000000000000000000000000000,1,3,345,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,83
766,766_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2878,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,73
767,767_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2244,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,82
768,768_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,127.000000000000000000000000000000,3785,3,95,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,71
769,769_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,31.000000000000000000000000000000,1577,3,319,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.194138123763274883515350666130,65
770,770_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,3154,3,174,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,47
771,771_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2547,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,79
772,772_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,23.000000000000000000000000000000,780,3,582,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,65
773,773_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,25.000000000000000000000000000000,486,3,340,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.780703453214284470718098418729,61
774,774_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,32.000000000000000000000000000000,4797,3,165,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.213949091781269001844023591730,49
775,775_0,FAILED,BoTorch,BOTORCH_MODULAR,,,580,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,17
776,776_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.947862937694179064074262441864,1
777,777_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,15.000000000000000000000000000000,2400,3,462,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.036736612571046024788845585363,47
778,778_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1675,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.058285768099819258714067160554,1
779,779_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,1662,3,135,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,27
780,780_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,31.000000000000000000000000000000,1625,3,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,15
781,781_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.537789185912435518943652823509,1
782,782_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,15.000000000000000000000000000000,154,3,228,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.699564325303047906956521728716,48
783,783_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,12.000000000000000000000000000000,2008,3,570,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,47
784,784_0,FAILED,BoTorch,BOTORCH_MODULAR,,,587,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.779197615585710878782776944718,1
785,785_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,21.000000000000000000000000000000,1,3,200,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,37
786,786_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,1,3,262,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,9
787,787_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,2724,3,895,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,37
788,788_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,1359,3,234,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,12
789,789_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,66.000000000000000000000000000000,2638,3,435,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,86
790,790_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,26.000000000000000000000000000000,1730,3,123,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,39
791,791_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,26.000000000000000000000000000000,1742,3,129,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,39
792,792_0,FAILED,BoTorch,BOTORCH_MODULAR,,,726,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,83
793,793_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2685,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
794,794_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
795,795_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2598,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
796,218_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
797,797_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2694,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
798,218_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
799,799_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2705,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
800,800_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2039,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
801,801_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2691,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
802,802_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3256,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
803,803_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2667,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
804,804_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1808,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
805,794_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
806,806_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2620,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
807,807_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1842,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
808,808_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2703,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
809,794_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
810,799_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2705,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
811,794_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
812,812_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1848,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
813,813_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2710,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
814,218_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
815,799_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2705,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
816,218_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
817,817_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2701,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
818,218_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
819,794_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
820,218_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
821,821_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,20.000000000000000000000000000000,1,3,119,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
822,794_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
823,823_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,15.000000000000000000000000000000,1259,3,31,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.953551345125951077541515132907,14
824,824_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2463,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.413759483462833810296643832771,1
825,825_0,FAILED,BoTorch,BOTORCH_MODULAR,,,22,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,77
826,826_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,22.000000000000000000000000000000,4929,3,209,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.990173466552107139904137511621,34
827,827_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2787,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,81
828,828_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,28.000000000000000000000000000000,4209,3,531,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,64
829,829_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,286,3,527,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,39
830,830_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2769,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
831,831_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,1214,3,378,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
832,832_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2358,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
833,833_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3214,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.416961937465756271592454140773,1
834,834_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3039,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.940602629135353529576946129964,1
835,835_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,692,3,1403,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,31
836,836_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,18.000000000000000000000000000000,2321,3,226,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.943876248974102827205001631228,1
837,837_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,799,3,123,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34
838,838_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,70.000000000000000000000000000000,2280,3,13,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.058565543058329408432349794111,37
839,839_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,4870,3,1256,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,54
840,840_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,25.000000000000000000000000000000,3694,3,209,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,54
841,841_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,3928,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,80
842,842_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,244.000000000000000000000000000000,1783,3,23,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.915336870804406954604814927734,82
843,843_0,FAILED,BoTorch,BOTORCH_MODULAR,,,414,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.418098449852321418784839579530,1
844,616_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
845,845_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,10.000000000000000000000000000000,288,3,162,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,42
846,846_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,15.000000000000000000000000000000,1428,3,299,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,48
847,847_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,20.000000000000000000000000000000,475,3,193,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,37
848,848_0,FAILED,BoTorch,BOTORCH_MODULAR,,,248,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.890895068051059668690072612662,1
849,849_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,16.000000000000000000000000000000,4857,3,86,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,30
850,850_0,FAILED,BoTorch,BOTORCH_MODULAR,,,764,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,96
851,851_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,5989.000000000000000000000000000000,4,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,70
852,852_0,FAILED,BoTorch,BOTORCH_MODULAR,,,321,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,48
853,853_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3973,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,96
854,854_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1376,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,63
855,855_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1373,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,96
856,856_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,112.000000000000000000000000000000,167,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,20
857,857_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4394,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,63
858,858_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,257.000000000000000000000000000000,2093,3,8,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.666829955846333755076216220914,59
859,859_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2886,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.049324319886472359208973159639,14
860,860_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2305,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.738835102017143197095094819815,1
861,861_0,FAILED,BoTorch,BOTORCH_MODULAR,,,623,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.415995647229449982962279364074,1
862,862_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1336,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.320860117433561575772671403683,1
863,863_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,19.000000000000000000000000000000,941,3,217,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.859374918653864283690779757308,1
864,864_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2795,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.416526723859953262874000756710,1
865,865_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,47.000000000000000000000000000000,488,3,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,17
866,866_0,FAILED,BoTorch,BOTORCH_MODULAR,,,39,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
867,867_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,94.000000000000000000000000000000,3701,3,46,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.921941656456522928841934572119,68
868,868_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,3903,3,1237,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,44
869,869_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,2545,3,1428,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,51
870,870_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,12.000000000000000000000000000000,893,3,4342,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,52
871,871_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,12.000000000000000000000000000000,2695,3,3206,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,46
872,872_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,15.000000000000000000000000000000,2881,3,1813,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.209673148141077930750597602128,55
873,873_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,49.000000000000000000000000000000,3665,3,154,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,72
874,874_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,18.000000000000000000000000000000,2176,3,895,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,47
875,875_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,2474,3,634,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,52
876,876_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,40.000000000000000000000000000000,2804,3,89,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,51
877,877_0,FAILED,BoTorch,BOTORCH_MODULAR,,,411,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.948275536853686040750233132712,6
878,878_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4938,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,13
879,879_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,2520.000000000000000000000000000000,2512,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.739798249198115653868512708868,56
880,880_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,29.000000000000000000000000000000,4857,3,129,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.542179140901314582379200146534,54
881,881_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1774,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.511760341501115600948423889349,75
882,882_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,4045.000000000000000000000000000000,1728,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,63
883,883_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,15.000000000000000000000000000000,2472,3,639,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,35
884,884_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,9.000000000000000000000000000000,1479,3,3593,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.960955044785996248535298036586,61
885,885_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,10.000000000000000000000000000000,1223,3,2478,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,48
886,886_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,22.000000000000000000000000000000,1029,3,98,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,41
887,887_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,6390.000000000000000000000000000000,4544,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001313602144956696037708665514,69
888,888_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,2758,3,1217,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,68
889,889_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,17.000000000000000000000000000000,3612,3,849,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,69
890,616_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
891,891_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,168.000000000000000000000000000000,1461,3,174,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
892,892_0,FAILED,BoTorch,BOTORCH_MODULAR,,,431,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
893,893_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,27.000000000000000000000000000000,2078,3,181,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,61
894,894_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,28.000000000000000000000000000000,3998,3,20,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.109701937889610787180139084285,32
895,895_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,82.000000000000000000000000000000,3775,3,71,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,67
896,896_0,FAILED,BoTorch,BOTORCH_MODULAR,,,502,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,35
897,897_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,16.000000000000000000000000000000,5000,3,104,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
898,898_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
899,899_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,919.000000000000000000000000000000,2999,3,49,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
900,900_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,3565,3,69,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,32
901,901_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,41.000000000000000000000000000000,675,3,194,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,73
902,902_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,37.000000000000000000000000000000,2651,3,159,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,68
903,903_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,238,3,388,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,30
904,904_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,4077,3,417,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,16
905,905_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,25.000000000000000000000000000000,2470,3,573,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,74
906,906_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2722,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
907,907_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,157.000000000000000000000000000000,5000,3,286,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
908,908_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,2743,3,215,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,9
909,273_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
910,910_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1843,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
911,911_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,36.000000000000000000000000000000,5000,3,184,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,60
912,912_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,26
913,913_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,24.000000000000000000000000000000,3387,3,114,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,42
914,914_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,20.000000000000000000000000000000,1513,3,53,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,30
915,915_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,19
916,916_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,42.000000000000000000000000000000,1298,3,134,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,67
917,917_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,49.000000000000000000000000000000,2532,3,143,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,67
918,918_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2585,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
919,919_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,24
920,920_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,24.000000000000000000000000000000,2465,3,457,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
921,921_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,62.000000000000000000000000000000,1067,3,203,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,74
922,922_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,10
923,794_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
924,924_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,67.000000000000000000000000000000,1399,3,135,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,63
925,925_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,18
926,794_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
927,927_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1147,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,23
928,928_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,14
929,929_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,17
930,930_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4965,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,20
931,931_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,14.000000000000000000000000000000,4658,3,323,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,17
932,932_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,21.000000000000000000000000000000,814,3,144,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,50
933,933_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,4002,3,133,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
934,934_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,49.000000000000000000000000000000,1241,3,83,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,48
935,935_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,95.000000000000000000000000000000,4787,3,132,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,68
936,936_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,25
937,937_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,11.000000000000000000000000000000,3661,3,85,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,80
938,938_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1137,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,32
939,939_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,2171,3,405,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,45
940,940_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,27.000000000000000000000000000000,5000,3,84,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,52
941,941_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,163.000000000000000000000000000000,5000,3,180,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
942,942_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,4616,3,80,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14
943,943_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2473,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
944,944_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,25
945,273_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
946,946_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1050,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,23
947,947_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,18.000000000000000000000000000000,5000,3,216,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
948,948_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,17.000000000000000000000000000000,4864,3,128,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,45
949,949_0,FAILED,BoTorch,BOTORCH_MODULAR,,,118,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
950,273_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
951,951_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,16
952,952_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,40.000000000000000000000000000000,3081,3,213,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,82
953,953_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,103.000000000000000000000000000000,4790,3,219,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,84
954,954_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,61.000000000000000000000000000000,1042,3,156,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,75
955,256_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
956,956_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,176.000000000000000000000000000000,1693,3,323,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
957,957_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,41.000000000000000000000000000000,3772,3,333,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,66
958,958_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,11.000000000000000000000000000000,4146,3,87,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
959,959_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,17.000000000000000000000000000000,3281,3,167,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
960,960_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,13.000000000000000000000000000000,1668,3,110,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,57
961,273_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
962,962_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,26
963,963_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
964,915_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,19
965,965_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,32.000000000000000000000000000000,3754,3,177,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,60
966,966_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,28
967,967_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,10.000000000000000000000000000000,380,3,138,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,20
968,968_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,29.000000000000000000000000000000,2042,3,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,68
969,969_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3802,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
970,970_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,70.000000000000000000000000000000,4917,3,212,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,83
971,971_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,12.000000000000000000000000000000,2930,3,201,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24
972,919_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,24
973,794_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
974,974_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,865,3,155,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,56
975,975_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,21.000000000000000000000000000000,5000,3,707,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
976,976_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1088,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
977,977_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,17.000000000000000000000000000000,5000,3,123,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
978,978_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,11.000000000000000000000000000000,2729,3,124,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,82
979,979_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4900,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
980,980_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,13
981,981_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,11.000000000000000000000000000000,505,3,92,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,67
982,982_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1787,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
983,983_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1124,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,17
984,984_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,21.000000000000000000000000000000,922,3,512,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,65
985,985_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,26.000000000000000000000000000000,591,3,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,85
986,986_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3024,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
987,987_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,102.000000000000000000000000000000,3575,3,79,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,62
988,988_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,4484,3,159,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,54
989,963_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
990,990_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,17.000000000000000000000000000000,4906,3,64,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,33
991,963_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
992,992_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24
993,993_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,28.000000000000000000000000000000,1991,3,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,62
994,273_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
995,995_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,18
996,996_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,26
997,997_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3147,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,33
998,963_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
999,999_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,31.000000000000000000000000000000,1482,3,159,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,55
1000,1000_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,20
1001,1001_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2014,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,26
1002,256_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
1003,1003_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,11.000000000000000000000000000000,428,3,240,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14
1004,1004_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,256.000000000000000000000000000000,1854,3,194,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
1005,1005_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,14.000000000000000000000000000000,1829,3,77,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,16
1006,1006_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4149,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,20
1007,1007_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1938,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
1008,1000_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,20
1009,1009_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,24.000000000000000000000000000000,56,3,77,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,34
1010,1010_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,12.000000000000000000000000000000,372,3,301,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,11
1011,1011_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,14.000000000000000000000000000000,2578,3,127,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,31
1012,1012_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,10.000000000000000000000000000000,2703,3,52,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,75
1013,1013_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,3842,3,97,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,63
1014,1014_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,10.000000000000000000000000000000,4104,3,103,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,97
1015,963_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
1016,1016_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1751,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,19
1017,1017_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2142,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,32
1018,1018_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4091,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
1019,1019_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,19.000000000000000000000000000000,1,3,174,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,59
1020,963_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
1021,1021_0,FAILED,BoTorch,BOTORCH_MODULAR,,,870,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,30
1022,1022_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,138.000000000000000000000000000000,2790,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,23
1023,1023_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,16.000000000000000000000000000000,1,3,77,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
1024,963_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
1025,1025_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,20
1026,1026_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,33.000000000000000000000000000000,1,3,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,44
1027,1027_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1958,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,21
1028,1028_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,105,3,290,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,19
1029,1029_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,15.000000000000000000000000000000,1684,3,331,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,37
1030,1030_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,16.000000000000000000000000000000,2291,3,61,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,60
1031,1031_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,22
1032,1032_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1718,3,114,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,41

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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
1745405985,1745406017,32,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1599 feature_id 5 batch_size 2735 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.2981285308003426 subsets 60,1599,5,2735,str\(\'H\'\),3,str\(\'stdev\'\),0.2981285308003426,60,0.68,15,0,None,i7182,15,525.03125,524.912109375,-1,0.3385110464756482,4621524
1745406005,1745406044,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3324 feature_id 0 batch_size 208 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.6626360071059316 subsets 48,3324,0,208,str\(\'KL\'\),2,str\(\'tstat\'\),0.6626360071059316,48,0.68,21,0,None,i7182,21,524.859375,524.675,-1,0.16733708769107,4621544
1745406057,1745406089,32,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4531 feature_id 6 batch_size 4939 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.13920213397406042 subsets 12,4531,6,4939,str\(\'H\'\),1,str\(\'tstat\'\),0.13920213397406042,12,0.68,12,0,None,i7183,12,524.50390625,524.3310546875,-1,0.3056501021102791,4621573
1745406087,1745406120,33,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 548 feature_id 3 batch_size 2453 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.7765930886622519 subsets 96,548,3,2453,str\(\'KL\'\),3,str\(\'stdev\'\),0.7765930886622519,96,0.69,13,0,None,i7182,13,529.8671875,526.333984375,-1,0.15180394826412524,4621607
1745406169,1745406213,44,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2968 feature_id 3 batch_size 4311 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.9385328317582607 subsets 82,2968,3,4311,str\(\'KL\'\),3,str\(\'tstat\'\),0.9385328317582607,82,0.69,9,0,None,i7177,9,523.828125,515.6744791666666,-1,0,4621981
1745406169,1745406233,64,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2596 feature_id 4 batch_size 1338 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.39878884132765235 subsets 65,2596,4,1338,str\(\'KL\'\),1,str\(\'tstat\'\),0.39878884132765235,65,0.68,22,0,None,i7180,22,523.08203125,492.48515625,-1,0.24840646079584133,4621774
1745406227,1745406259,32,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4263 feature_id 5 batch_size 836 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.4794386435896158 subsets 71,4263,5,836,str\(\'H\'\),3,str\(\'tstat\'\),0.4794386435896158,71,0.68,12,0,None,i7177,12,525.4453125,516.5224609375,-1,0.20694349897889722,4622036
1745406204,1745406280,76,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2485 feature_id 1 batch_size 3851 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.5137934539671988 subsets 31,2485,1,3851,str\(\'H\'\),2,str\(\'stdev\'\),0.5137934539671988,31,0.66,10,0,None,i7179,10,525.1875,508.6796875,-1,0.23831920292097283,4621849
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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2112 feature_id 6 batch_size 1835 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.08672305573523045 subsets 25,2112,6,1835,str\(\'H\'\),2,str\(\'stdev\'\),0.08672305573523045,25,0.68,14,0,None,i7179,14,525.12109375,497.9580078125,-1,0.3305278792004456,4621920
1745406268,1745406295,27,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 661 feature_id 0 batch_size 3352 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.6217304151952266 subsets 36,661,0,3352,str\(\'KL\'\),1,str\(\'stdev\'\),0.6217304151952266,36,0.68,13,0,None,i7182,13,525.01171875,524.9013671875,-1,0,4622081
1745406330,1745406369,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 298 feature_id 4 batch_size 4479 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.31494333089888094 subsets 51,298,4,4479,str\(\'KL\'\),1,str\(\'stdev\'\),0.31494333089888094,51,0.68,19,0,None,i7182,19,525.8359375,525.72265625,-1,0.43065783773748373,4622131
1745406442,1745406474,32,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3616 feature_id 7 batch_size 2860 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.24957371510565282 subsets 5,3616,7,2860,str\(\'KL\'\),2,str\(\'tstat\'\),0.24957371510565282,5,0.68,14,0,None,i7177,14,525.49609375,522.6044921875,-1,0.35398230088495575,4622248
1745406444,1745406508,64,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1510 feature_id 7 batch_size 4096 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.6324001216422767 subsets 2,1510,7,4096,str\(\'KL\'\),3,str\(\'tstat\'\),0.6324001216422767,2,0.68,14,0,None,i7175,14,524.05859375,507.4296875,-1,0.2534810322420942,4622383
1745406482,1745406514,32,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4910 feature_id 4 batch_size 3255 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.8067984506618232 subsets 54,4910,4,3255,str\(\'KL\'\),2,str\(\'stdev\'\),0.8067984506618232,54,0.68,15,0,None,i7180,15,524.2734375,524.0869140625,-1,0.20143573240918375,4622508
1745406444,1745406539,95,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1308 feature_id 2 batch_size 376 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.8518844428956509 subsets 90,1308,2,376,str\(\'H\'\),2,str\(\'stdev\'\),0.8518844428956509,90,0.68,47,0,None,i7175,47,525.1640625,495.07198660714283,-1,0.11634383315799245,4622322
1745406496,1745406566,70,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4782 feature_id 1 batch_size 1955 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.706734150737524 subsets 44,4782,1,1955,str\(\'H\'\),3,str\(\'tstat\'\),0.706734150737524,44,0.67,10,0,None,i7179,10,523.73828125,522.0533854166666,-1,0.360232687666316,4622191
1745406535,1745406567,32,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 12 feature_id 1 batch_size 777 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.16940748110227286 subsets 41,12,1,777,str\(\'H\'\),3,str\(\'tstat\'\),0.16940748110227286,41,0.68,11,0,None,i7177,11,523.76953125,521.490234375,-1,0.19233863481651092,4622557
1745406501,1745406597,96,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3569 feature_id 2 batch_size 1581 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.26789263883046804 subsets 93,3569,2,1581,str\(\'H\'\),1,str\(\'stdev\'\),0.26789263883046804,93,0.68,41,0,None,i7174,41,525.078125,485.88392857142856,-1,0.39136085153784267,4622449
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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 996 feature_id 7 batch_size 1003 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.03726265700720251 subsets 17,996,7,1003,str\(\'KL\'\),3,str\(\'stdev\'\),0.03726265700720251,17,0.68,16,0,None,i7181,16,523.64453125,509.5927734375,-1,0.18664521319388577,4621654
1745406674,1745406866,192,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3927 feature_id 2 batch_size 3477 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.9241564669962973 subsets 78,3927,2,3477,str\(\'H\'\),1,str\(\'tstat\'\),0.9241564669962973,78,0.68,25,0,None,i7181,25,525.13671875,497.18125,-1,0.21517420632464881,4621712
1745407444,1745407476,32,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 279 feature_id 3 batch_size 282 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,279,3,282,str\(\'H\'\),2,str\(\'stdev\'\),0.999,1,0.7,15,0,None,i7173,15,524.5,524.3046875,-1,0.43628937434247167,4623552
1745407945,1745408016,71,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 282 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,3,282,str\(\'H\'\),2,str\(\'tstat\'\),0.001,1,0.7,17,0,None,i7172,17,524.58984375,518.25,-1,0.43628937434247167,4623958
1745408258,1745408354,96,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2224 feature_id 3 batch_size 264 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 93,2224,3,264,str\(\'H\'\),2,str\(\'stdev\'\),0.999,93,0.7,82,0,None,i7177,82,525.19921875,525.1189630681819,-1,0.18670709821152298,4624365
1745408750,1745408796,46,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1267 feature_id 3 batch_size 4380 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1267,3,4380,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,0.69,20,0,None,i7173,20,525.046875,524.9484375,-1,0.6894609814963797,4624796
1745409143,1745409188,45,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4231 feature_id 3 batch_size 506 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 9,4231,3,506,str\(\'H\'\),2,str\(\'stdev\'\),0.999,9,0.69,10,0,None,i7167,10,525.66015625,525.40625,-1,0.09394145677331518,4625169
1745409601,1745409709,108,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 171 feature_id 3 batch_size 499 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 99,171,3,499,str\(\'H\'\),2,str\(\'stdev\'\),0.999,99,0.69,53,0,None,i7178,53,524.421875,524.326171875,-1,0.15421746395197722,4625540
1745410029,1745410104,75,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3408 feature_id 3 batch_size 474 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 100,3408,3,474,str\(\'H\'\),2,str\(\'tstat\'\),0.999,100,0.69,65,0,None,i7167,65,525.00390625,524.8862847222222,-1,0.19896033170369454,4625933
1745410366,1745410412,46,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1182 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 100,1,3,1182,str\(\'H\'\),2,str\(\'stdev\'\),0.999,100,0.69,31,0,None,i7185,31,524.80859375,524.6634114583334,-1,0.07314809084720589,4626197
1745410775,1745410825,50,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 674 feature_id 3 batch_size 263 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,674,3,263,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,0.69,16,0,None,i7167,16,525.05078125,521.3671875,-1,0.8691131876972585,4626546
1745411217,1745411243,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1079 feature_id 3 batch_size 638 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1079,3,638,str\(\'H\'\),2,str\(\'tstat\'\),0.001,1,0.69,12,0,None,i7177,12,524.37890625,524.130859375,-1,0.4343090537780803,4626927
1745411643,1745411676,33,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1504 feature_id 3 batch_size 652 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1504,3,652,str\(\'H\'\),2,str\(\'stdev\'\),0.999,1,0.69,15,0,None,i7182,15,524.5546875,524.3603515625,-1,0.40349031499473975,4627284
1745412179,1745412274,95,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1360 feature_id 3 batch_size 681 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 100,1360,3,681,str\(\'H\'\),2,str\(\'stdev\'\),0.999,100,0.69,49,0,None,i7178,49,524.890625,524.7706473214286,-1,0.1685747880438146,4627707
1745412579,1745412618,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 396 feature_id 3 batch_size 4670 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.5956825835910712 subsets 1,396,3,4670,str\(\'H\'\),1,str\(\'tstat\'\),0.5956825835910712,1,0.69,22,0,None,i7171,22,525.1640625,525.046875,-1,0.7433009468407699,4628106
1745413035,1745413068,33,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3046 feature_id 3 batch_size 966 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.8244517911852313 subsets 1,3046,3,966,str\(\'H\'\),1,str\(\'stdev\'\),0.8244517911852313,1,0.69,17,0,None,i7186,17,524.20703125,524.107421875,-1,0.8327866823442045,4628506
1745413394,1745413440,46,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2701 feature_id 3 batch_size 401 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 66,2701,3,401,str\(\'H\'\),1,str\(\'stdev\'\),0.999,66,0.69,27,0,None,i7186,27,524.23046875,524.13046875,-1,0.19852713658023394,4628901
1745413793,1745413832,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3609 feature_id 3 batch_size 224 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.7116624424551714 subsets 1,3609,3,224,str\(\'H\'\),2,str\(\'tstat\'\),0.7116624424551714,1,0.69,19,0,None,i7186,19,524.44140625,524.1884765625,-1,0.4307816077727582,4629271
1745414151,1745414184,33,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2273 feature_id 3 batch_size 224 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,2273,3,224,str\(\'H\'\),2,str\(\'tstat\'\),0.001,1,0.69,15,0,None,i7186,15,524.26171875,524.0244140625,-1,0.4307816077727582,4629733
1745414508,1745414534,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 371 feature_id 3 batch_size 407 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 22,371,3,407,str\(\'H\'\),2,str\(\'stdev\'\),0.999,22,0.69,12,0,None,i7180,12,524.87109375,524.6474609375,-1,0.20372547806176125,4630157
1745415093,1745415196,103,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2344 feature_id 3 batch_size 580 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.4785678122086272 subsets 1,2344,3,580,str\(\'H\'\),2,str\(\'stdev\'\),0.4785678122086272,1,0.69,17,0,None,i7172,17,525.04296875,524.896484375,-1,0.430719722755121,4630777
1745415280,1745415331,51,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1408 feature_id 3 batch_size 2525 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1408,3,2525,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,0.69,18,0,None,i7176,18,525.51171875,524.9052734375,-1,0.8138498669472121,4631199
1745415727,1745415759,32,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 710 feature_id 3 batch_size 253 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 29,710,3,253,str\(\'H\'\),2,str\(\'stdev\'\),0.999,29,0.7,13,0,None,i7171,13,524.60546875,524.396484375,-1,0.10959836623553437,4631706
1745416113,1745416146,33,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 697 feature_id 3 batch_size 253 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 30,697,3,253,str\(\'H\'\),2,str\(\'stdev\'\),0.001,30,0.69,16,0,None,i7185,16,526.03515625,525.8291015625,-1,0.17222600408441116,4632100
1745416488,1745416527,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 768 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1,3,768,str\(\'H\'\),2,str\(\'tstat\'\),0.999,1,0.69,15,0,None,i7173,15,525.62890625,525.4111328125,-1,0.4466241722878891,4632396
1745416968,1745417050,82,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4994 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 100,4994,3,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,100,None,None,1,None,i7178,,,,,,4632720
1745417237,1745417290,53,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1547 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 94,1547,3,1,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,94,0.69,33,0,None,i7173,33,524.9375,524.8359375,-1,0.21727829692431463,4633045
1745417450,1745417482,32,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1000 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 93,1000,3,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,93,None,None,1,None,i7175,,,,,,4633203
1745417865,1745417936,71,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4830 feature_id 3 batch_size 1074 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 89,4830,3,1074,str\(\'H\'\),1,str\(\'tstat\'\),0.999,89,0.69,53,0,None,i7186,53,525.58984375,525.50341796875,-1,0.46525156259669537,4633522
1745418188,1745418201,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1471 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 74,1471,3,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,74,None,None,1,None,i7180,,,,,,4633780
1745418555,1745418587,32,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4918 feature_id 3 batch_size 1123 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,4918,3,1123,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,1,0.69,15,0,None,i7185,15,525.3671875,525.1484375,-1,0.4169812488396559,4634083
1745418817,1745418830,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 563 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 35,563,3,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,35,None,None,1,None,i7180,,,,,,4634798
1745419232,1745419277,45,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1824 feature_id 3 batch_size 2807 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1824,3,2807,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,0.69,19,0,None,i7183,19,524.5546875,524.4267578125,-1,0.7448480722817006,4635585
1745419495,1745419534,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 5000 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 100,5000,3,5000,str\(\'H\'\),1,str\(\'tstat\'\),0.001,100,0.69,26,0,None,i7180,26,525.2890625,525.1625,-1,0.4951420261154774,4635829
1745419913,1745419970,57,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 262 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.6183142638473167 subsets 100,262,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.6183142638473167,100,None,None,1,None,i7178,,,,,,4636092
1745420340,1745420460,120,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 583 feature_id 3 batch_size 2060 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,583,3,2060,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,1,0.69,17,0,None,i7176,17,524.46484375,518.396484375,-1,0.7686738040720341,4636885
1745420711,1745420757,46,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 3925 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 100,1,3,3925,str\(\'H\'\),1,str\(\'stdev\'\),0.999,100,0.69,26,0,None,i7185,26,524.78515625,524.6921875,-1,0.36208923819543287,4637131
1745421131,1745421151,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,3,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,None,None,1,None,i7185,,,,,,4637270
1745422113,1745422228,115,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4513 feature_id 3 batch_size 1792 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,4513,3,1792,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,1,0.69,17,0,None,i7182,17,537.7109375,511.4912109375,-1,0.44359180642366486,4637659
1745422357,1745422428,71,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1774 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,3,1774,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,1,0.69,17,0,None,i7182,17,528.25390625,521.3271484375,-1,0.4391360851537843,4638132
1745422407,1745422562,155,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1228 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 61,1228,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,61,None,None,1,None,i7178,,,,,,4637907
1745422736,1745422762,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 822 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 55,822,3,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,55,None,None,1,None,i7180,,,,,,4639456
1745423234,1745423266,32,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3945 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 55,3945,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,55,None,None,1,None,i7177,,,,,,4639921
1745423442,1745423474,32,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 25,1,3,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,25,None,None,1,None,i7175,,,,,,4640657
1745423869,1745423908,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4608 feature_id 3 batch_size 435 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,4608,3,435,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,1,0.69,15,0,None,i7182,15,535.78125,530.5146484375,-1,0.44161148585927346,4641004
1745424003,1745424016,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3249 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 26,3249,3,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,26,None,None,1,None,i7171,,,,,,4641629
1745424512,1745424563,51,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2720 feature_id 3 batch_size 2804 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 100,2720,3,2804,str\(\'H\'\),2,str\(\'tstat\'\),0.999,100,0.69,28,0,None,i7175,28,525.6328125,525.43984375,-1,0.173525589454793,4641906
1745424801,1745424865,64,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 105 feature_id 3 batch_size 4200 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,105,3,4200,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,0.69,29,0,None,i7182,29,525.33203125,525.20234375,-1,0.3961259978959094,4642107
1745425211,1745425237,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 869 feature_id 3 batch_size 468 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 21,869,3,468,str\(\'H\'\),2,str\(\'stdev\'\),0.999,21,0.69,12,0,None,i7182,12,525.8515625,525.6484375,-1,0.19487592053963734,4642449
1745425628,1745425641,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3081 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 20,3081,3,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,20,None,None,1,None,i7186,,,,,,4642809
1745426109,1745426122,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 413 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 62,413,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,62,None,None,1,None,i7178,,,,,,4643195
1745426483,1745426496,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3299 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 9,3299,3,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,9,None,None,1,None,i7178,,,,,,4643506
1745426804,1745426830,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 324 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,3,324,str\(\'H\'\),3,str\(\'tstat\'\),0.999,1,0.69,11,0,None,i7174,11,525.49609375,525.326171875,-1,0.25725601831796524,4643765
1745427091,1745427104,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 218 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 30,218,3,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,30,None,None,1,None,i7178,,,,,,4644001
1745427427,1745427504,77,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 692 feature_id 3 batch_size 455 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 100,692,3,455,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,100,0.69,63,0,None,i7186,63,522.96875,522.8611111111111,-1,0.15786867999257378,4644257
1745427691,1745427711,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 952 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 100,952,3,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,100,None,None,1,None,i7175,,,,,,4644456
1745428064,1745428172,108,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 333 feature_id 3 batch_size 443 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.730793886467865 subsets 100,333,3,443,str\(\'KL\'\),1,str\(\'tstat\'\),0.730793886467865,100,0.69,95,0,None,i7176,95,525.23046875,525.1634114583334,-1,0.2875177919425707,4644744
1745428344,1745428397,53,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3805 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.703132006592594 subsets 1,3805,3,1,str\(\'KL\'\),2,str\(\'tstat\'\),0.703132006592594,1,0.69,39,0,None,i7185,39,522.28125,522.1315104166666,-1,0.21727829692431463,4644953
1745428764,1745428790,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4222 feature_id 3 batch_size 1681 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,4222,3,1681,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,0.69,17,0,None,i7186,17,525.45703125,525.32421875,-1,0.8125502815768303,4645285
1745429243,1745429257,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3357 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,3357,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7183,,,,,,4645683
1745429724,1745429770,46,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4941 feature_id 3 batch_size 1142 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.5545178257573714 subsets 100,4941,3,1142,str\(\'H\'\),2,str\(\'tstat\'\),0.5545178257573714,100,0.69,35,0,None,i7186,35,525.4375,525.267578125,-1,0.21201807042515008,4646113
1745430183,1745430209,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 530 feature_id 3 batch_size 1318 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.6189348223474394 subsets 1,530,3,1318,str\(\'H\'\),2,str\(\'stdev\'\),0.6189348223474394,1,0.7,13,0,None,i7182,13,525.6640625,525.498046875,-1,0.40782226622934586,4646510
1745430664,1745430689,25,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3937 feature_id 3 batch_size 598 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,3937,3,598,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,1,0.69,16,0,None,i7178,16,524.9921875,524.8701171875,-1,0.8754873445138932,4646970
1745430905,1745430931,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 115 feature_id 3 batch_size 1089 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 33,115,3,1089,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,33,0.69,11,0,None,i7180,11,525.84765625,525.6318359375,-1,0.2021783526208305,4647226
1745431384,1745431404,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4825 feature_id 3 batch_size 240 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 40,4825,3,240,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,40,0.7,10,0,None,i7178,10,526.046875,525.8369140625,-1,0.10396682963054645,4647694
1745432258,1745432272,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2668 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 67,2668,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,67,None,None,1,None,i7174,,,,,,4648470
1745432622,1745432655,33,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4598 feature_id 3 batch_size 2409 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,4598,3,2409,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,0.69,19,0,None,i7182,19,524.796875,524.64453125,-1,0.7707778946717,4648758
1745432920,1745432933,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7173,,,,,,4648993
1745433309,1745433329,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3670 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 74,3670,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,74,None,None,1,None,i7175,,,,,,4649281
1745433553,1745433566,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4416 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 51,4416,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,51,None,None,1,None,i7178,,,,,,4649449
1745433962,1745433975,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7174,,,,,,4649748
1745431886,1745434207,2321,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 54,1,3,1,str\(\'H\'\),2,str\(\'tstat\'\),0.001,54,0.69,2310,0,None,i7174,2310,525.34765625,521.2848377145923,-1,0.21727829692431463,4648158
1745434214,1745434228,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 67,1,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,67,None,None,1,None,i7183,,,,,,4649924
1745434573,1745434611,38,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2095 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,2095,3,1,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,1,0.69,26,0,None,i7173,26,525.7421875,525.61875,-1,0.21727829692431463,4650192
1745435171,1745435197,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2192 feature_id 3 batch_size 1361 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 19,2192,3,1361,str\(\'H\'\),2,str\(\'tstat\'\),0.999,19,0.69,11,0,None,i7174,11,524.9921875,524.76953125,-1,0.21319388576025744,4650646
1745435918,1745435950,32,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2672 feature_id 3 batch_size 710 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 43,2672,3,710,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,43,0.69,11,0,None,i7172,11,524.65625,524.4619140625,-1,0.04393836252243332,4651186
1745436612,1745436632,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2560 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.3129454091562772 subsets 83,2560,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.3129454091562772,83,None,None,1,None,i7186,,,,,,4651679
1745437294,1745437327,33,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 87 feature_id 3 batch_size 3867 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 54,87,3,3867,str\(\'H\'\),1,str\(\'tstat\'\),0.999,54,0.69,18,0,None,i7185,18,525.3828125,525.2294921875,-1,0.3549105761495142,4652197
1745437916,1745437942,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1497 feature_id 3 batch_size 3522 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 56,1497,3,3522,str\(\'H\'\),1,str\(\'tstat\'\),0.001,56,0.69,12,0,None,i7183,12,524.99609375,524.8212890625,-1,0.09425088186150134,4652694
1745438389,1745438421,32,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4466 feature_id 3 batch_size 2536 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 98,4466,3,2536,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,98,0.69,22,0,None,i7182,22,524.453125,524.334375,-1,0.19017265919920787,4653092
1745438889,1745438921,32,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4939 feature_id 3 batch_size 872 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 62,4939,3,872,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,62,0.69,19,0,None,i7180,19,525.76953125,525.5654296875,-1,0.2698186768983229,4653524
1745439520,1745439546,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 3590 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1,3,3590,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,0.69,17,0,None,i7178,17,524.79296875,524.65625,-1,0.7649607030138004,4654062
1745440532,1745440559,27,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 452 feature_id 3 batch_size 3316 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 52,452,3,3316,str\(\'H\'\),3,str\(\'tstat\'\),0.001,52,0.69,11,0,None,i7176,11,524.65234375,524.4931640625,-1,0,4654964
1745441323,1745441349,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4069 feature_id 3 batch_size 2831 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 50,4069,3,2831,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,50,0.69,11,0,None,i7175,11,525.44140625,525.341796875,-1,0.05148833467417538,4655577
1745442009,1745442042,33,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2611 feature_id 3 batch_size 752 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 69,2611,3,752,str\(\'H\'\),2,str\(\'stdev\'\),0.999,69,0.69,20,0,None,i7183,20,526.41796875,526.24609375,-1,0.1861501330527879,4656058
1745442515,1745442535,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 100,5000,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,100,None,None,1,None,i7178,,,,,,4656394
1745442946,1745442971,25,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 137 feature_id 3 batch_size 889 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 44,137,3,889,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,44,0.69,11,0,None,i7174,11,524.73828125,524.5263671875,-1,0.22006312271798997,4656689
1745443574,1745443618,44,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4917 feature_id 3 batch_size 1570 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 100,4917,3,1570,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,100,0.69,28,0,None,i7174,28,525.84375,525.67109375,-1,0.26492976050498174,4657111
1745444176,1745444203,27,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 100,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,100,None,None,1,None,i7186,,,,,,4657491
1745444817,1745444863,46,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 2645 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 100,5000,3,2645,str\(\'H\'\),2,str\(\'stdev\'\),0.001,100,0.69,28,0,None,i7185,28,524.48828125,524.3015625,-1,0.3273717433009468,4657918
1745445269,1745445308,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3052 feature_id 3 batch_size 768 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 100,3052,3,768,str\(\'H\'\),2,str\(\'tstat\'\),0.001,100,0.69,23,0,None,i7183,23,525.21484375,525.02734375,-1,0.04752769354539266,4658276
1745445808,1745445841,33,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4292 feature_id 3 batch_size 2400 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,4292,3,2400,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,1,0.69,14,0,None,i7182,14,524.375,524.1875,-1,0.32186397673123335,4658666
1745446234,1745446266,32,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 566 feature_id 3 batch_size 325 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 49,566,3,325,str\(\'H\'\),2,str\(\'tstat\'\),0.999,49,0.69,17,0,None,i7180,17,526.14453125,525.9169921875,-1,0.2011263073209976,4658995
1745446846,1745446872,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 372 feature_id 3 batch_size 1112 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 64,372,3,1112,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,64,0.69,12,0,None,i7180,12,524.79296875,524.546875,-1,0.13763227922519958,4659460
1745447380,1745447406,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1802 feature_id 3 batch_size 216 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.02492189029527343 subsets 17,1802,3,216,str\(\'H\'\),2,str\(\'stdev\'\),0.02492189029527343,17,0.7,13,0,None,i7185,13,525.4921875,525.3076171875,-1,0.1737731295253419,4659867
1745447956,1745447982,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4837 feature_id 3 batch_size 284 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.5288919233109117 subsets 41,4837,3,284,str\(\'H\'\),2,str\(\'stdev\'\),0.5288919233109117,41,0.69,15,0,None,i7178,15,525.5,525.294921875,-1,0.19264805990469708,4660342
1745448716,1745448729,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1917 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 80,1917,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,80,None,None,1,None,i7176,,,,,,4660967
1745449180,1745449193,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4211 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.6556714226623502 subsets 47,4211,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.6556714226623502,47,None,None,1,None,i7175,,,,,,4661297
1745449912,1745449925,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1440 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 37,1440,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,37,None,None,1,None,i7175,,,,,,4661804
1745450612,1745450638,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2740 feature_id 3 batch_size 1650 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 47,2740,3,1650,str\(\'H\'\),1,str\(\'tstat\'\),0.999,47,0.69,14,0,None,i7178,14,524.36328125,524.2001953125,-1,0.4084411164057182,4662254
1745451022,1745451042,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3877 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.10399524694962474 subsets 80,3877,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.10399524694962474,80,None,None,1,None,i7186,,,,,,4662511
1745451952,1745452090,138,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1892 feature_id 3 batch_size 20 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 47,1892,3,20,str\(\'H\'\),2,str\(\'tstat\'\),0.999,47,0.7,123,0,None,i7186,123,524.5703125,524.49453125,-1,0.23274955133362213,4663112
1745452772,1745452798,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1101 feature_id 3 batch_size 462 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 46,1101,3,462,str\(\'H\'\),2,str\(\'stdev\'\),0.999,46,0.69,15,0,None,i7185,15,524.06640625,523.8544921875,-1,0.19079150937558018,4663646
1745453415,1745453441,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2594 feature_id 3 batch_size 447 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 46,2594,3,447,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,46,0.69,13,0,None,i7175,13,524.31640625,521.9208984375,-1,0.18058048146543723,4664106
1745454253,1745454266,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 729 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 85,729,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,85,None,None,1,None,i7182,,,,,,4664683
1745455061,1745455087,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4508 feature_id 3 batch_size 708 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 46,4508,3,708,str\(\'H\'\),1,str\(\'stdev\'\),0.999,46,0.69,12,0,None,i7175,12,525.4296875,525.3232421875,-1,0.13917940466613032,4665272
1745455772,1745455799,27,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4651 feature_id 3 batch_size 897 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 46,4651,3,897,str\(\'H\'\),1,str\(\'stdev\'\),0.001,46,0.69,17,0,None,i7180,17,524.62890625,524.5068359375,-1,0.4314004579491305,4665781
1745456382,1745456420,38,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1736 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 100,1736,3,1,str\(\'H\'\),3,str\(\'tstat\'\),0.001,100,0.69,26,0,None,i7176,26,524.91015625,524.778125,-1,0.21727829692431463,4666227
1745456935,1745456961,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 854 feature_id 3 batch_size 952 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.6872105206674709 subsets 49,854,3,952,str\(\'H\'\),2,str\(\'stdev\'\),0.6872105206674709,49,0.69,15,0,None,i7182,15,524.7265625,524.529296875,-1,0.22977907048703508,4666649
1745457552,1745457572,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1411 feature_id 3 batch_size 67 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 41,1411,3,67,str\(\'H\'\),3,str\(\'stdev\'\),0.999,41,0.69,11,0,None,i7176,11,525.51953125,525.3662109375,-1,0.2038492480970357,4667096
1745458212,1745458232,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1809 feature_id 3 batch_size 2544 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 65,1809,3,2544,str\(\'H\'\),2,str\(\'tstat\'\),0.001,65,0.69,10,0,None,i7175,10,525.40625,525.15234375,-1,0.15743548486911318,4667554
1745458773,1745458799,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2678 feature_id 3 batch_size 1557 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.8500180801884015 subsets 89,2678,3,1557,str\(\'H\'\),2,str\(\'stdev\'\),0.8500180801884015,89,0.69,18,0,None,i7175,18,525.78515625,525.580078125,-1,0.16535676712667863,4667885
1745459353,1745459387,34,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 256 feature_id 3 batch_size 296 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5255369013054685 subsets 41,256,3,296,str\(\'H\'\),1,str\(\'stdev\'\),0.5255369013054685,41,0.69,23,0,None,i7186,23,524.61328125,524.51484375,-1,0.3114054087505415,4668237
1745459934,1745459960,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3679 feature_id 3 batch_size 2267 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.6225219257604055 subsets 69,3679,3,2267,str\(\'H\'\),2,str\(\'stdev\'\),0.6225219257604055,69,0.69,16,0,None,i7185,16,525.19921875,525.001953125,-1,0.28058666996720094,4668602
1745460493,1745460519,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4730 feature_id 3 batch_size 573 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 29,4730,3,573,str\(\'H\'\),3,str\(\'stdev\'\),0.001,29,0.69,12,0,None,i7185,12,524.69140625,524.5546875,-1,0.24822080574292962,4668928
1745461074,1745461093,19,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 346 feature_id 3 batch_size 2389 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 24,346,3,2389,str\(\'H\'\),3,str\(\'stdev\'\),0.999,24,0.69,11,0,None,i7185,11,524.5078125,524.3486328125,-1,0.14784330713534252,4669305
1745461635,1745461668,33,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4388 feature_id 3 batch_size 318 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.754300029562302 subsets 46,4388,3,318,str\(\'H\'\),2,str\(\'stdev\'\),0.754300029562302,46,0.69,20,0,None,i7186,20,524.640625,524.41796875,-1,0.13775604926047405,4669700
1745462506,1745462544,38,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2375 feature_id 3 batch_size 737 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.17389182286001967 subsets 87,2375,3,737,str\(\'H\'\),2,str\(\'stdev\'\),0.17389182286001967,87,0.69,29,0,None,i7182,29,524.48828125,524.33359375,-1,0.1824370319945541,4670313
1745463133,1745463165,32,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 977 feature_id 3 batch_size 118 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.07786953867389224 subsets 38,977,3,118,str\(\'H\'\),2,str\(\'stdev\'\),0.07786953867389224,38,0.7,16,0,None,i7175,16,524.05078125,523.8232421875,-1,0.22680858964044806,4670751
1745463699,1745463719,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1064 feature_id 3 batch_size 3788 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.5467424308858003 subsets 76,1064,3,3788,str\(\'H\'\),2,str\(\'stdev\'\),0.5467424308858003,76,0.69,12,0,None,i7182,12,524.58984375,524.3916015625,-1,0.23442044680982735,4671151
1745464274,1745464287,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 910 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,910,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7178,,,,,,4671548
1745464964,1745464990,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4961 feature_id 3 batch_size 163 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.04531928103424873 subsets 37,4961,3,163,str\(\'H\'\),2,str\(\'tstat\'\),0.04531928103424873,37,0.69,14,0,None,i7178,14,525.84765625,525.6201171875,-1,0.1513088681230274,4672050
1745465714,1745465733,19,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 100,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,100,None,None,1,None,i7175,,,,,,4672583
1745466255,1745466281,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2820 feature_id 3 batch_size 706 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,2820,3,706,str\(\'H\'\),2,str\(\'tstat\'\),0.001,1,0.69,14,0,None,i7176,14,525.05859375,524.8359375,-1,0.40058171916578994,4672952
1745466716,1745466780,64,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 629 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 100,5000,3,629,str\(\'H\'\),2,str\(\'tstat\'\),0.001,100,0.69,54,0,None,i7175,54,524.5078125,524.36767578125,-1,0.15570270437527076,4673253
1745467256,1745467270,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7185,,,,,,4673580
1745467875,1745467901,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2713 feature_id 3 batch_size 849 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 53,2713,3,849,str\(\'H\'\),2,str\(\'tstat\'\),0.999,53,0.69,14,0,None,i7175,14,525.5625,525.2978515625,-1,0.15762113992202487,4673944
1745468456,1745468469,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 161 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.18642142553648414 subsets 77,161,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.18642142553648414,77,None,None,1,None,i7186,,,,,,4674294
1745469136,1745469150,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7186,,,,,,4674682
1745469836,1745469855,19,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 100,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,100,None,None,1,None,i7183,,,,,,4675149
1745470556,1745470570,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7185,,,,,,4675639
1745471118,1745471191,73,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 45,5000,3,1,str\(\'H\'\),3,str\(\'tstat\'\),0.001,45,0.69,60,0,None,i7186,60,524.44921875,524.3645833333334,-1,0.21727829692431463,4675974
1745471716,1745471742,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1248 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 3,1,3,1248,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,3,0.69,13,0,None,i7182,13,525.0078125,524.78125,-1,0.38616251005631536,4676367
1745472437,1745472457,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1283 feature_id 3 batch_size 2592 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.5974040000939318 subsets 60,1283,3,2592,str\(\'H\'\),3,str\(\'tstat\'\),0.5974040000939318,60,0.69,10,0,None,i7182,10,524.21484375,523.9778645833334,-1,0.16040596571570023,4676805
1745473217,1745473230,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2916 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 42,2916,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,42,None,None,1,None,i7178,,,,,,4677293
1745474037,1745474050,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.1798631418621597 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.1798631418621597,1,None,None,1,None,i7178,,,,,,4677827
1745474562,1745474582,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 100,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,100,None,None,1,None,i7176,,,,,,4678171
1745475227,1745475246,19,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4833 feature_id 3 batch_size 54 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.2101302425843358 subsets 16,4833,3,54,str\(\'H\'\),2,str\(\'tstat\'\),0.2101302425843358,16,0.69,11,0,None,i7175,11,525.171875,524.9306640625,-1,0.19716566619221487,4678591
1745475917,1745475930,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7181,,,,,,4678951
1745476599,1745476612,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1936 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.4921947786784682 subsets 32,1936,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.4921947786784682,32,None,None,1,None,i7186,,,,,,4679297
1745477218,1745477250,32,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 296 feature_id 3 batch_size 252 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.3431096474911464 subsets 61,296,3,252,str\(\'H\'\),1,str\(\'stdev\'\),0.3431096474911464,61,0.69,25,0,None,i7183,25,525.859375,525.76328125,-1,0.1871402933349836,4679633
1745477719,1745477746,27,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3731 feature_id 3 batch_size 19 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 8,3731,3,19,str\(\'H\'\),1,str\(\'tstat\'\),0.001,8,0.7,16,0,None,i7186,16,525.76953125,525.6220703125,-1,0.07853208738164491,4679911
1745478399,1745478419,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 370 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 25,5000,3,370,str\(\'H\'\),2,str\(\'tstat\'\),0.001,25,0.7,11,0,None,i7182,11,525.71875,525.4755859375,-1,0.1510613280524785,4680354
1745479038,1745479051,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7183,,,,,,4680738
1745479539,1745479578,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 519 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 1,519,3,1,str\(\'H\'\),2,str\(\'stdev\'\),0.001,1,0.69,30,0,None,i7182,30,526.17578125,526.015625,-1,0.21727829692431463,4681034
1745479839,1745479893,54,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2955 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 1,2955,3,1,str\(\'H\'\),2,str\(\'stdev\'\),0.001,1,0.69,41,0,None,i7186,41,526.1015625,525.9933035714286,-1,0.21727829692431463,4681214
1745480459,1745480472,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4711 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 94,4711,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,94,None,None,1,None,i7182,,,,,,4682161
1745481350,1745481403,53,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2827 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 1,2827,3,1,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,1,0.69,39,0,None,i7185,39,524.6796875,524.5501302083334,-1,0.21727829692431463,4682552
1745482283,1745482296,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7178,,,,,,4682868
1745483935,1745483948,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1570 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 20,1570,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,20,None,None,1,None,i7176,,,,,,4683420
1745483304,1745484456,1152,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 976 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 47,976,3,1,str\(\'H\'\),2,str\(\'tstat\'\),0.001,47,0.69,1141,0,None,i7178,1141,525.609375,524.4129273504274,-1,0.21727829692431463,4683212
1745484686,1745484745,59,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2367 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 8,2367,3,1,str\(\'H\'\),2,str\(\'stdev\'\),0.001,8,0.69,46,0,None,i7185,46,525.67578125,525.5680803571429,-1,0.21727829692431463,4683670
1745485288,1745485301,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1739 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 8,1739,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,8,None,None,1,None,i7186,,,,,,4683871
1745485738,1745485764,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3313 feature_id 3 batch_size 310 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.013993930238051702 subsets 46,3313,3,310,str\(\'KL\'\),2,str\(\'stdev\'\),0.013993930238051702,46,0.7,16,0,None,i7183,16,524.34375,524.1318359375,-1,0.249396621078037,4684026
1745485948,1745485961,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4991 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,4991,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7183,,,,,,4684092
1745486128,1745486148,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1124 feature_id 3 batch_size 376 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1124,3,376,str\(\'H\'\),2,str\(\'tstat\'\),0.999,1,0.7,12,0,None,i7183,12,524.94921875,524.7333984375,-1,0.4188377993687728,4684156
1745486280,1745486293,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 993 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,993,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7186,,,,,,4684204
1745486459,1745486498,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3697 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,3697,3,1,str\(\'H\'\),2,str\(\'tstat\'\),0.001,1,0.69,29,0,None,i7182,29,524.3984375,524.20390625,-1,0.21727829692431463,4684269
1745486706,1745486719,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4982 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,4982,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,None,None,1,None,i7185,,,,,,4684349
1745487392,1745487405,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3768 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,3768,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7183,,,,,,4684587
1745487753,1745487766,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7182,,,,,,4684715
1745488173,1745488187,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 988 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,988,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7182,,,,,,4684851
1745489527,1745489540,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7180,,,,,,4685307
1745489707,1745489720,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1055 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1055,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7180,,,,,,4685365
1745489888,1745489901,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,None,None,1,None,i7180,,,,,,4685429
1745490037,1745490050,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4830 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,4830,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7181,,,,,,4685478
1745490283,1745490296,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1895 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1895,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7181,,,,,,4685554
1745490493,1745490506,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3681 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.25377789747182805 subsets 1,3681,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.25377789747182805,1,None,None,1,None,i7181,,,,,,4685627
1745490703,1745490736,33,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1705 feature_id 3 batch_size 629 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1705,3,629,str\(\'H\'\),2,str\(\'tstat\'\),0.001,1,0.69,19,0,None,i7186,19,524.62890625,524.4052734375,-1,0.42818243703199454,4685693
1745490886,1745490899,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7186,,,,,,4685757
1745491043,1745491056,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 942 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,942,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7181,,,,,,4685811
1745491185,1745491198,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.6596725225266848 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.6596725225266848,1,None,None,1,None,i7181,,,,,,4685856
1745491379,1745491405,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7180,,,,,,4685918
1745491553,1745491567,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3726 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,3726,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7186,,,,,,4685980
1745491820,1745491873,53,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2824 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.028560520473305737 subsets 1,2824,3,1,str\(\'H\'\),2,str\(\'tstat\'\),0.028560520473305737,1,0.69,39,0,None,i7185,39,524.29296875,524.1393229166666,-1,0.21727829692431463,4686071
1745492070,1745492083,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 966 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,966,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7186,,,,,,4686143
1745492273,1745492286,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7186,,,,,,4686215
1745492494,1745492507,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4968 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,4968,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,None,None,1,None,i7185,,,,,,4686287
1745492719,1745492733,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1804 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1804,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7185,,,,,,4686362
1745493168,1745493182,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4941 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,4941,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7183,,,,,,4686516
1745493411,1745493424,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7185,,,,,,4686597
1745493685,1745493698,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1080 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1080,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7183,,,,,,4686687
1745495081,1745495100,19,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4887 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,4887,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7185,,,,,,4687146
1745495314,1745495327,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3722 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,3722,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7182,,,,,,4687225
1745495484,1745495503,19,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1088 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1088,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7182,,,,,,4687292
1745495727,1745495740,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1720 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.9661657006111195 subsets 1,1720,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.9661657006111195,1,None,None,1,None,i7182,,,,,,4687371
1745495900,1745495913,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4784 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,4784,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,None,None,1,None,i7181,,,,,,4687431
1745496116,1745496129,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4833 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,4833,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7183,,,,,,4687501
1745496327,1745496340,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7176,,,,,,4687581
1745496562,1745496575,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1414 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1414,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7181,,,,,,4687658
1745496834,1745496847,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7180,,,,,,4687747
1745497043,1745497056,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1130 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1130,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7182,,,,,,4687814
1745497321,1745497334,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3712 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,3712,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7181,,,,,,4687903
1745497554,1745497567,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4681 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,4681,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,None,None,1,None,i7175,,,,,,4687989
1745497771,1745497784,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2007 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,2007,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7181,,,,,,4688057
1745497974,1745497987,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7181,,,,,,4688125
1745498218,1745498264,46,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4505 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 1,4505,3,1,str\(\'H\'\),2,str\(\'stdev\'\),0.001,1,0.69,36,0,None,i7186,36,524.16796875,524.048828125,-1,0.21727829692431463,4688203
1745498396,1745498409,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7175,,,,,,4688270
1745498605,1745498618,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1393 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1393,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7175,,,,,,4688341
1745498817,1745498830,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1003 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1003,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7175,,,,,,4688412
1745498943,1745498956,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3107 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,3107,3,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,None,None,1,None,i7180,,,,,,4688492
1745499027,1745499040,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4874 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,4874,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,None,None,1,None,i7181,,,,,,4688570
1745499346,1745499379,33,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 787 feature_id 3 batch_size 938 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.32992456554627675 subsets 1,787,3,938,str\(\'H\'\),2,str\(\'tstat\'\),0.32992456554627675,1,0.69,16,0,None,i7185,16,525.2734375,525.0341796875,-1,0.4567733151803948,4688912
1745499703,1745499717,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4989 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.33134253521362333 subsets 1,4989,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.33134253521362333,1,None,None,1,None,i7185,,,,,,4689054
1745500307,1745500320,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1141 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1141,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7183,,,,,,4689317
1745500797,1745500831,34,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3258 feature_id 3 batch_size 370 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,3258,3,370,str\(\'H\'\),2,str\(\'tstat\'\),0.001,1,0.69,18,0,None,i7186,18,525.91015625,525.6806640625,-1,0.4350516739897271,4689503
1745501307,1745501367,60,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2368 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,2368,3,1,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,1,0.69,48,0,None,i7185,48,525.90625,525.7795758928571,-1,0.21727829692431463,4689678
1745501937,1745501951,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4987 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,4987,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7185,,,,,,4689982
1745502584,1745502597,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1223 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1223,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7181,,,,,,4690328
1745503139,1745503154,15,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4977 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,4977,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7182,,,,,,4690611
1745503617,1745503630,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1974 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1974,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7181,,,,,,4690882
1745504177,1745504190,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7186,,,,,,4691170
1745504664,1745504703,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3194 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 1,3194,3,1,str\(\'H\'\),3,str\(\'tstat\'\),0.999,1,0.69,28,0,None,i7181,28,524.26171875,524.11484375,-1,0.21727829692431463,4691448
1745505268,1745505282,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4948 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,4948,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7185,,,,,,4691770
1745506019,1745506033,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1967 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1967,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7186,,,,,,4692155
1745506505,1745506532,27,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 951 feature_id 3 batch_size 889 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,951,3,889,str\(\'H\'\),2,str\(\'tstat\'\),0.001,1,0.69,13,0,None,i7180,13,524.1875,524.0380859375,-1,0.4264496565381521,4692428
1745507088,1745507101,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1952 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1952,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7176,,,,,,4692769
1745507760,1745507786,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 15 feature_id 3 batch_size 285 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 43,15,3,285,str\(\'H\'\),1,str\(\'tstat\'\),0.001,43,0.69,14,0,None,i7183,14,525.17578125,525.015625,-1,0.19400953029271614,4693133
1745508119,1745508133,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2948 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 44,2948,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,44,None,None,1,None,i7180,,,,,,4693335
1745509125,1745509138,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3196 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5060756879647945 subsets 10,3196,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.5060756879647945,10,None,None,1,None,i7183,,,,,,4693920
1745509799,1745509832,33,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 739 feature_id 3 batch_size 590 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.013511322763942627 subsets 43,739,3,590,str\(\'KL\'\),2,str\(\'stdev\'\),0.013511322763942627,43,0.69,19,0,None,i7186,19,524.24609375,524.0107421875,-1,0.25558512284176,4694259
1745510485,1745510511,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 158 feature_id 3 batch_size 344 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 41,158,3,344,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,41,0.7,13,0,None,i7176,13,524.9453125,524.7080078125,-1,0.21288446067207129,4694597
1745511465,1745511491,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3525 feature_id 3 batch_size 501 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.13660853696668873 subsets 42,3525,3,501,str\(\'KL\'\),2,str\(\'stdev\'\),0.13660853696668873,42,0.69,13,0,None,i7181,13,526.23046875,526.01171875,-1,0.21703075685376572,4695113
1745512849,1745512881,32,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 396 feature_id 3 batch_size 161 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.5712804901403629 subsets 37,396,3,161,str\(\'H\'\),2,str\(\'stdev\'\),0.5712804901403629,37,0.69,16,0,None,i7180,16,525.5390625,525.3310546875,-1,0.20923324463147472,4695846
1745512085,1745512890,805,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3575 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 40,3575,3,1,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,40,0.69,795,0,None,i7181,795,524.54296875,524.5322980182926,-1,0.21727829692431463,4695438
1745513546,1745513572,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 883 feature_id 3 batch_size 417 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.19379660731460407 subsets 46,883,3,417,str\(\'H\'\),2,str\(\'stdev\'\),0.19379660731460407,46,0.69,15,0,None,i7180,15,525.125,524.9228515625,-1,0.23757658270932608,4696225
1745514184,1745514223,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 299 feature_id 3 batch_size 18 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.47718655572082935 subsets 1,299,3,18,str\(\'H\'\),1,str\(\'tstat\'\),0.47718655572082935,1,0.7,23,0,None,i7180,23,524.37109375,524.2609375,-1,0.874373414196423,4696537
1745514889,1745514916,27,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2945 feature_id 3 batch_size 412 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 54,2945,3,412,str\(\'H\'\),3,str\(\'stdev\'\),0.001,54,0.69,13,0,None,i7185,13,525.546875,525.42578125,-1,0.23324463147471997,4696870
1745515247,1745515260,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 11 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 17,11,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,17,None,None,1,None,i7185,,,,,,4697054
1745516148,1745516187,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2762 feature_id 3 batch_size 368 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 60,2762,3,368,str\(\'H\'\),1,str\(\'tstat\'\),0.999,60,0.7,27,0,None,i7183,27,524.75390625,524.6296875,-1,0.30899189306268954,4697545
1745516930,1745516957,27,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1566 feature_id 3 batch_size 91 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 46,1566,3,91,str\(\'H\'\),3,str\(\'stdev\'\),0.999,46,0.7,13,0,None,i7185,13,525.578125,525.43359375,-1,0.1916578996225014,4697925
1745517530,1745517557,27,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4340 feature_id 3 batch_size 194 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 9,4340,3,194,str\(\'H\'\),1,str\(\'stdev\'\),0.001,9,0.69,13,0,None,i7186,13,525.66796875,525.5458984375,-1,0.3361594158054335,4698204
1745518439,1745518471,32,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 917 feature_id 3 batch_size 418 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 56,917,3,418,str\(\'H\'\),1,str\(\'stdev\'\),0.001,56,0.69,22,0,None,i7182,22,525.39453125,525.296875,-1,0.336283185840708,4698611
1745519513,1745519553,40,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3781 feature_id 3 batch_size 160 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 45,3781,3,160,str\(\'H\'\),2,str\(\'stdev\'\),0.999,45,0.7,21,0,None,i7182,21,525.65234375,525.4921875,-1,0.14852404232935207,4699104
1745520481,1745520507,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4116 feature_id 3 batch_size 237 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 34,4116,3,237,str\(\'H\'\),1,str\(\'stdev\'\),0.001,34,0.69,14,0,None,i7181,14,525.83203125,525.6865234375,-1,0.2786682344204468,4699599
1745521171,1745521211,40,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4777 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.7555191721014104 subsets 1,4777,3,1,str\(\'H\'\),2,str\(\'stdev\'\),0.7555191721014104,1,0.69,29,0,None,i7186,29,524.17578125,524.0203125,-1,0.21727829692431463,4699959
1745521981,1745522001,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 76,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,76,None,None,1,None,i7186,,,,,,4700390
1745522820,1745522884,64,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 345 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 83,1,3,345,str\(\'H\'\),1,str\(\'stdev\'\),0.999,83,0.69,55,0,None,i7180,55,525.1328125,525.06787109375,-1,0.2562039730181323,4700816
1745523614,1745523627,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2878 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 73,2878,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,73,None,None,1,None,i7185,,,,,,4701237
1745524612,1745524625,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2244 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 82,2244,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,82,None,None,1,None,i7183,,,,,,4701793
1745525400,1745525540,140,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3785 feature_id 3 batch_size 95 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 71,3785,3,95,str\(\'H\'\),1,str\(\'stdev\'\),0.001,71,0.7,127,0,None,i7183,127,524.390625,524.3533854166667,-1,0.32922829383006375,4702188
1745526367,1745526412,45,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1577 feature_id 3 batch_size 319 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.19413812376327488 subsets 65,1577,3,319,str\(\'H\'\),1,str\(\'stdev\'\),0.19413812376327488,65,0.69,31,0,None,i7176,31,524.6484375,524.5494791666666,-1,0.29085958289498115,4702660
1745527252,1745527279,27,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3154 feature_id 3 batch_size 174 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 47,3154,3,174,str\(\'H\'\),2,str\(\'stdev\'\),0.999,47,0.69,14,0,None,i7185,14,525.515625,525.3125,-1,0.053839965344390124,4703065
1745528911,1745528944,33,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 780 feature_id 3 batch_size 582 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 65,780,3,582,str\(\'H\'\),1,str\(\'stdev\'\),0.999,65,0.69,23,0,None,i7186,23,525.59765625,525.5125,-1,0.20044557212698805,4703868
1745529653,1745529692,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 486 feature_id 3 batch_size 340 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.7807034532142845 subsets 61,486,3,340,str\(\'H\'\),1,str\(\'stdev\'\),0.7807034532142845,61,0.69,25,0,None,i7183,25,524.41796875,522.4484375,-1,0.27606906367968315,4704236
1745530753,1745530799,46,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4797 feature_id 3 batch_size 165 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.213949091781269 subsets 49,4797,3,165,str\(\'H\'\),1,str\(\'stdev\'\),0.213949091781269,49,0.69,32,0,None,i7185,32,525.15625,525.0787760416666,-1,0.3153660498793242,4704769
1745531832,1745531845,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 580 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 17,580,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,17,None,None,1,None,i7183,,,,,,4705272
1745532693,1745532707,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.9478629376941791 subsets 1,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.9478629376941791,1,None,None,1,None,i7180,,,,,,4705688
1745533253,1745533279,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2400 feature_id 3 batch_size 462 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.036736612571046025 subsets 47,2400,3,462,str\(\'H\'\),2,str\(\'stdev\'\),0.036736612571046025,47,0.69,15,0,None,i7180,15,525.4140625,525.2001953125,-1,0.19079150937558018,4705994
1745533853,1745533866,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1675 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.05828576809981926 subsets 1,1675,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.05828576809981926,1,None,None,1,None,i7185,,,,,,4706289
1745534632,1745534658,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1662 feature_id 3 batch_size 135 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 27,1662,3,135,str\(\'H\'\),2,str\(\'stdev\'\),0.001,27,0.69,13,0,None,i7176,13,524.640625,524.4482421875,-1,0.2339253666687295,4706677
1745535294,1745535340,46,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1625 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 15,1625,3,1,str\(\'H\'\),3,str\(\'stdev\'\),0.999,15,0.69,31,0,None,i7185,31,525.6640625,525.580078125,-1,0.21727829692431463,4706995
1745536023,1745536036,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5377891859124355 subsets 1,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.5377891859124355,1,None,None,1,None,i7182,,,,,,4707340
1745536863,1745536889,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 154 feature_id 3 batch_size 228 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.6995643253030479 subsets 48,154,3,228,str\(\'H\'\),1,str\(\'stdev\'\),0.6995643253030479,48,0.7,15,0,None,i7181,15,525.296875,525.1728515625,-1,0.15520762423417292,4707751
1745537643,1745537670,27,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2008 feature_id 3 batch_size 570 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 47,2008,3,570,str\(\'H\'\),3,str\(\'stdev\'\),0.999,47,0.69,12,0,None,i7181,12,524.28125,524.1640625,-1,0.14109784021288446,4708142
1745538693,1745538706,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 587 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.7791976155857109 subsets 1,587,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.7791976155857109,1,None,None,1,None,i7183,,,,,,4708672
1745539775,1745539808,33,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 200 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 37,1,3,200,str\(\'H\'\),1,str\(\'stdev\'\),0.001,37,0.69,21,0,None,i7185,21,525.16015625,525.04765625,-1,0.32186397673123335,4709171
1745540774,1745540793,19,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 262 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 9,1,3,262,str\(\'H\'\),1,str\(\'stdev\'\),0.999,9,0.69,11,0,None,i7183,11,524.1953125,524.0751953125,-1,0.21078037007240547,4709620
1745541474,1745541493,19,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2724 feature_id 3 batch_size 895 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 37,2724,3,895,str\(\'H\'\),2,str\(\'stdev\'\),0.999,37,0.69,11,0,None,i7183,11,525.87109375,525.6591796875,-1,0.16616127235596262,4709957
1745542375,1745542401,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1359 feature_id 3 batch_size 234 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 12,1359,3,234,str\(\'H\'\),2,str\(\'tstat\'\),0.999,12,0.69,13,0,None,i7181,13,526.2578125,526.0068359375,-1,0.2817624853023083,4710393
1745543514,1745543590,76,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2638 feature_id 3 batch_size 435 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 86,2638,3,435,str\(\'H\'\),1,str\(\'stdev\'\),0.001,86,0.69,66,0,None,i7178,66,526.08203125,526.0290798611111,-1,0.3499597747385358,4710967
1745544036,1745544076,40,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1730 feature_id 3 batch_size 123 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 39,1730,3,123,str\(\'H\'\),1,str\(\'stdev\'\),0.999,39,0.7,26,0,None,i7186,26,524.171875,524.07109375,-1,0.2207438579119995,4711200
1745544415,1745544454,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1742 feature_id 3 batch_size 129 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 39,1742,3,129,str\(\'H\'\),1,str\(\'tstat\'\),0.999,39,0.7,26,0,None,i7185,26,524.23046875,524.1109375,-1,0.3632650535305403,4711391
1745545255,1745545268,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 726 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 83,726,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,83,None,None,1,None,i7182,,,,,,4711767
1745545515,1745545529,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2685 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,2685,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7185,,,,,,4711887
1745545695,1745545708,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7181,,,,,,4711982
1745545895,1745545908,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2598 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,2598,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7183,,,,,,4712090
1745546076,1745546090,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1,3,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,None,None,1,None,i7185,,,,,,4712184
1745546240,1745546253,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2694 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,2694,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7183,,,,,,4712265
1745546435,1745546448,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1,3,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,None,None,1,None,i7180,,,,,,4712374
1745546646,1745546659,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2705 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,2705,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7181,,,,,,4712475
1745546827,1745546840,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2039 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,2039,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7185,,,,,,4712565
1745547016,1745547029,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2691 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,2691,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7181,,,,,,4712665
1745547216,1745547229,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3256 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,3256,3,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,None,None,1,None,i7181,,,,,,4712774
1745547416,1745547430,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2667 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,2667,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7185,,,,,,4712862
1745547596,1745547609,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1808 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1808,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7185,,,,,,4712948
1745547756,1745547769,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7180,,,,,,4713029
1745547966,1745547979,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2620 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,2620,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7185,,,,,,4713115
1745548136,1745548149,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1842 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1842,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7180,,,,,,4713199
1745548316,1745548329,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2703 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,2703,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7180,,,,,,4713279
1745548496,1745548509,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7182,,,,,,4713358
1745548746,1745548759,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2705 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,2705,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7180,,,,,,4713469
1745548926,1745548939,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7180,,,,,,4713547
1745549107,1745549120,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1848 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1848,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7180,,,,,,4713634
1745549287,1745549300,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2710 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,2710,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7186,,,,,,4713705
1745549476,1745549489,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1,3,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,None,None,1,None,i7186,,,,,,4713800
1745549656,1745549670,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2705 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,2705,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7181,,,,,,4713877
1745549876,1745549890,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1,3,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,None,None,1,None,i7185,,,,,,4713977
1745550057,1745550070,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2701 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,2701,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7182,,,,,,4714056
1745550236,1745550249,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1,3,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,None,None,1,None,i7180,,,,,,4714141
1745550426,1745550440,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7180,,,,,,4714236
1745550617,1745550630,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1,3,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,None,None,1,None,i7185,,,,,,4714324
1745550816,1745550849,33,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 119 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1,3,119,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,0.7,20,0,None,i7180,20,525.421875,525.2822265625,-1,0.8704746580852776,4714407
1745550996,1745551009,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7183,,,,,,4714502
1745551717,1745551744,27,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1259 feature_id 3 batch_size 31 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.9535513451259511 subsets 14,1259,3,31,str\(\'H\'\),1,str\(\'stdev\'\),0.9535513451259511,14,0.7,15,0,None,i7185,15,524.40625,524.2841796875,-1,0.13620892381954328,4714826
1745552288,1745552301,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2463 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.4137594834628338 subsets 1,2463,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.4137594834628338,1,None,None,1,None,i7186,,,,,,4715098
1745553317,1745553331,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 22 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 77,22,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,77,None,None,1,None,i7185,,,,,,4715575
1745554209,1745554242,33,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4929 feature_id 3 batch_size 209 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.9901734665521071 subsets 34,4929,3,209,str\(\'H\'\),1,str\(\'tstat\'\),0.9901734665521071,34,0.69,22,0,None,i7186,22,524.859375,524.74453125,-1,0.3419147224456959,4716004
1745555397,1745555410,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2787 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 81,2787,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,81,None,None,1,None,i7186,,,,,,4716585
1745556549,1745556588,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4209 feature_id 3 batch_size 531 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 64,4209,3,531,str\(\'H\'\),1,str\(\'stdev\'\),0.999,64,0.7,28,0,None,i7180,28,524.328125,524.2390625,-1,0.230026610557584,4717136
1745557630,1745557656,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 286 feature_id 3 batch_size 527 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 39,286,3,527,str\(\'H\'\),1,str\(\'stdev\'\),0.999,39,0.69,14,0,None,i7182,14,524.76171875,524.6298828125,-1,0.22829383006374157,4717617
1745558292,1745558305,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2769 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,2769,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7185,,,,,,4717911
1745558679,1745558706,27,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1214 feature_id 3 batch_size 378 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1214,3,378,str\(\'H\'\),2,str\(\'tstat\'\),0.999,1,0.69,13,0,None,i7186,13,525.078125,524.8349609375,-1,0.4210656600037131,4718076
1745559069,1745559083,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2358 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,2358,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7182,,,,,,4718259
1745559899,1745559912,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3214 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.41696193746575627 subsets 1,3214,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.41696193746575627,1,None,None,1,None,i7183,,,,,,4718616
1745560580,1745560594,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3039 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.9406026291353535 subsets 1,3039,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.9406026291353535,1,None,None,1,None,i7185,,,,,,4718928
1745561278,1745561298,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 692 feature_id 3 batch_size 1403 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 31,692,3,1403,str\(\'H\'\),2,str\(\'stdev\'\),0.001,31,0.69,11,0,None,i7183,11,525.37109375,525.166015625,-1,0.2235905687233121,4719227
1745561880,1745561913,33,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2321 feature_id 3 batch_size 226 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.9438762489741028 subsets 1,2321,3,226,str\(\'H\'\),1,str\(\'stdev\'\),0.9438762489741028,1,0.7,18,0,None,i7186,18,524.4453125,524.3203125,-1,0.8692988427501702,4719491
1745563139,1745563158,19,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 799 feature_id 3 batch_size 123 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 34,799,3,123,str\(\'H\'\),3,str\(\'stdev\'\),0.001,34,0.69,11,0,None,i7183,11,524.74609375,524.603515625,-1,0.2568847082121418,4720058
1745563839,1745563923,84,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2280 feature_id 3 batch_size 13 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.05856554305832941 subsets 37,2280,3,13,str\(\'H\'\),1,str\(\'stdev\'\),0.05856554305832941,37,0.7,70,0,None,i7182,70,525.39453125,522.087890625,-1,0.2890030323658642,4720392
1745564560,1745564586,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4870 feature_id 3 batch_size 1256 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 54,4870,3,1256,str\(\'H\'\),2,str\(\'stdev\'\),0.999,54,0.69,14,0,None,i7186,14,526.1484375,525.9375,-1,0.23318274645708273,4720738
1745564952,1745564991,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3694 feature_id 3 batch_size 209 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 54,3694,3,209,str\(\'H\'\),1,str\(\'stdev\'\),0.999,54,0.69,25,0,None,i7185,25,525.8671875,525.75234375,-1,0.19964106689770406,4720949
1745566820,1745567074,254,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1783 feature_id 3 batch_size 23 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.915336870804407 subsets 82,1783,3,23,str\(\'H\'\),1,str\(\'stdev\'\),0.915336870804407,82,0.69,244,0,None,i7178,244,524.6875,522.7132523148148,-1,0.10402871464818368,4721836
1745567413,1745567426,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 414 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.4180984498523214 subsets 1,414,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.4180984498523214,1,None,None,1,None,i7178,,,,,,4722084
1745568040,1745568059,19,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 100,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,100,None,None,1,None,i7178,,,,,,4722366
1745568841,1745568860,19,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 288 feature_id 3 batch_size 162 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 42,288,3,162,str\(\'H\'\),3,str\(\'tstat\'\),0.999,42,0.69,10,0,None,i7181,10,525.54296875,525.3828125,-1,0.20050745714462528,4722699
1745569441,1745569466,25,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1428 feature_id 3 batch_size 299 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 48,1428,3,299,str\(\'H\'\),1,str\(\'stdev\'\),0.999,48,0.69,15,0,None,i7183,15,526.296875,526.171875,-1,0.20353982300884957,4722978
1745569841,1745569874,33,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 475 feature_id 3 batch_size 193 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 37,475,3,193,str\(\'H\'\),1,str\(\'tstat\'\),0.999,37,0.69,20,0,None,i7185,20,524.79296875,524.6533203125,-1,0.31053901850362026,4723159
1745570920,1745570933,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 248 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.8908950680510597 subsets 1,248,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.8908950680510597,1,None,None,1,None,i7181,,,,,,4723660
1745571745,1745571771,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4857 feature_id 3 batch_size 86 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 30,4857,3,86,str\(\'H\'\),1,str\(\'stdev\'\),0.001,30,0.7,16,0,None,i7181,16,524.38671875,524.265625,-1,0.31400457949130517,4724006
1745573842,1745573862,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 764 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 96,764,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,96,None,None,1,None,i7185,,,,,,4724911
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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 321 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 48,321,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,48,None,None,1,None,i7181,,,,,,4725135
1745574521,1745574541,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3973 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 96,3973,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,96,None,None,1,None,i7180,,,,,,4725235
1745574742,1745574755,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1376 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 63,1376,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,63,None,None,1,None,i7180,,,,,,4725350
1745575002,1745575021,19,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1373 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 96,1373,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,96,None,None,1,None,i7183,,,,,,4725457
1745575242,1745575367,125,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 167 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 20,167,3,1,str\(\'H\'\),2,str\(\'stdev\'\),0.999,20,0.69,112,0,None,i7185,112,524.83984375,524.7859933035714,-1,0.21727829692431463,4725576
1745575512,1745575527,15,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4394 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 63,4394,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,63,None,None,1,None,i7180,,,,,,4725701
1745576261,1745576530,269,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2093 feature_id 3 batch_size 8 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.6668299558463338 subsets 59,2093,3,8,str\(\'H\'\),1,str\(\'stdev\'\),0.6668299558463338,59,0.7,257,0,None,i7180,257,525.1640625,525.1460658482143,-1,0.13565195866080823,4726035
1745576841,1745576855,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2886 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.04932431988647236 subsets 14,2886,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.04932431988647236,14,None,None,1,None,i7180,,,,,,4726276
1745577642,1745577656,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2305 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.7388351020171432 subsets 1,2305,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.7388351020171432,1,None,None,1,None,i7182,,,,,,4726615
1745578303,1745578316,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 623 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.41599564722945 subsets 1,623,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.41599564722945,1,None,None,1,None,i7176,,,,,,4726921
1745578922,1745578936,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1336 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.3208601174335616 subsets 1,1336,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.3208601174335616,1,None,None,1,None,i7185,,,,,,4727211
1745579582,1745579614,32,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 941 feature_id 3 batch_size 217 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.8593749186538643 subsets 1,941,3,217,str\(\'H\'\),1,str\(\'stdev\'\),0.8593749186538643,1,0.69,19,0,None,i7176,19,525.6484375,525.5517578125,-1,0.870041462961817,4727511
1745574040,1745580041,6001,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 70,4,3,1,str\(\'H\'\),2,str\(\'stdev\'\),0.999,70,0.69,5989,0,None,i7181,5989,525.578125,524.0849820611481,-1,0.21727829692431463,4725006
1745580304,1745580318,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2795 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.41652672385995326 subsets 1,2795,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.41652672385995326,1,None,None,1,None,i7185,,,,,,4727824
1745580724,1745580784,60,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 488 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 17,488,3,1,str\(\'H\'\),3,str\(\'tstat\'\),0.001,17,0.69,47,0,None,i7185,47,525.9765625,525.8889508928571,-1,0.21727829692431463,4728003
1745580943,1745580963,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 39 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 100,39,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,100,None,None,1,None,i7182,,,,,,4728105
1745581863,1745581971,108,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3701 feature_id 3 batch_size 46 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.9219416564565229 subsets 68,3701,3,46,str\(\'H\'\),2,str\(\'stdev\'\),0.9219416564565229,68,0.69,94,0,None,i7182,94,524.6875,524.619140625,-1,0.16226251624481713,4728491
1745582831,1745582850,19,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3903 feature_id 3 batch_size 1237 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 44,3903,3,1237,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,44,0.69,11,0,None,i7181,11,525.671875,525.4775390625,-1,0.3062070672690142,4728919
1745583623,1745583648,25,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2545 feature_id 3 batch_size 1428 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 51,2545,3,1428,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,51,0.69,11,0,None,i7181,11,525.1953125,524.986328125,-1,0.14140726530107062,4729284
1745584904,1745584930,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 893 feature_id 3 batch_size 4342 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 52,893,3,4342,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,52,0.69,12,0,None,i7180,12,526.32421875,526.1328125,-1,0,4729830
1745586443,1745586463,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2695 feature_id 3 batch_size 3206 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 46,2695,3,3206,str\(\'H\'\),2,str\(\'tstat\'\),0.999,46,0.69,12,0,None,i7180,12,526.23046875,525.9755859375,-1,0.19840336654495946,4730514
1745587364,1745587390,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2881 feature_id 3 batch_size 1813 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.20967314814107793 subsets 55,2881,3,1813,str\(\'H\'\),2,str\(\'tstat\'\),0.20967314814107793,55,0.69,15,0,None,i7186,15,525.37109375,525.140625,-1,0.3250819976483693,4730932
1745588235,1745588294,59,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3665 feature_id 3 batch_size 154 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 72,3665,3,154,str\(\'H\'\),2,str\(\'stdev\'\),0.999,72,0.69,49,0,None,i7185,49,525.171875,525.0357142857143,-1,0.13342409802586794,4731298
1745589425,1745589458,33,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2176 feature_id 3 batch_size 895 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 47,2176,3,895,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,47,0.69,18,0,None,i7186,18,524.1640625,523.95703125,-1,0.22154836314128348,4731792
1745590424,1745590450,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2474 feature_id 3 batch_size 634 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 52,2474,3,634,str\(\'H\'\),2,str\(\'stdev\'\),0.001,52,0.69,14,0,None,i7183,14,524.30859375,524.1083984375,-1,0.19617550591001917,4732210
1745591445,1745591496,51,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2804 feature_id 3 batch_size 89 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 51,2804,3,89,str\(\'H\'\),2,str\(\'stdev\'\),0.001,51,0.7,40,0,None,i7183,40,523.0703125,522.9329427083334,-1,0.24784949563710626,4732616
1745592665,1745592678,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 411 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.948275536853686 subsets 6,411,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.948275536853686,6,None,None,1,None,i7183,,,,,,4733083
1745593726,1745593739,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4938 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 13,4938,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,13,None,None,1,None,i7185,,,,,,4733548
1745595106,1745595145,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4857 feature_id 3 batch_size 129 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.5421791409013146 subsets 54,4857,3,129,str\(\'H\'\),2,str\(\'tstat\'\),0.5421791409013146,54,0.69,29,0,None,i7186,29,524.828125,524.64765625,-1,0.1756296800544588,4734127
1745595886,1745595899,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1774 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5117603415011156 subsets 75,1774,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.5117603415011156,75,None,None,1,None,i7180,,,,,,4734482
1745594506,1745597040,2534,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2512 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.7397982491981157 subsets 56,2512,3,1,str\(\'H\'\),2,str\(\'stdev\'\),0.7397982491981157,56,0.69,2520,0,None,i7186,2520,525.59375,523.3101162647638,-1,0.21727829692431463,4733879
1745597838,1745597864,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2472 feature_id 3 batch_size 639 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 35,2472,3,639,str\(\'H\'\),2,str\(\'stdev\'\),0.001,35,0.69,15,0,None,i7185,15,524.33984375,524.1552734375,-1,0.23726715762113992,4735307
1745599149,1745599168,19,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1479 feature_id 3 batch_size 3593 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.9609550447859962 subsets 61,1479,3,3593,str\(\'KL\'\),2,str\(\'stdev\'\),0.9609550447859962,61,0.69,9,0,None,i7176,9,524.73046875,524.4817708333334,-1,0,4735856
1745600649,1745600669,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1223 feature_id 3 batch_size 2478 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 48,1223,3,2478,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,48,0.69,10,0,None,i7186,10,525.75,525.4739583333334,-1,0.15335107370505602,4736458
1745596947,1745601002,4055,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1728 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 63,1728,3,1,str\(\'H\'\),2,str\(\'stdev\'\),0.999,63,0.69,4045,0,None,i7176,4045,524.8359375,524.2951762131449,-1,0.21727829692431463,4734966
1745601509,1745601541,32,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1029 feature_id 3 batch_size 98 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 41,1029,3,98,str\(\'H\'\),2,str\(\'stdev\'\),0.001,41,0.69,22,0,None,i7186,22,525.0859375,524.89765625,-1,0.23652453740949317,4736792
1745603950,1745603976,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2758 feature_id 3 batch_size 1217 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 68,2758,3,1217,str\(\'H\'\),2,str\(\'stdev\'\),0.999,68,0.69,13,0,None,i7181,13,525.890625,525.7021484375,-1,0.07531406646450894,4737797
1745605151,1745605177,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3612 feature_id 3 batch_size 849 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 69,3612,3,849,str\(\'H\'\),2,str\(\'stdev\'\),0.999,69,0.69,17,0,None,i7183,17,525.51171875,525.279296875,-1,0.10508075994801659,4738336
1745602518,1745608919,6401,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4544 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001313602144956696 subsets 69,4544,3,1,str\(\'H\'\),2,str\(\'stdev\'\),0.001313602144956696,69,0.69,6390,0,None,i7185,6390,526.078125,524.558898449688,-1,0.21727829692431463,4737193
1745609360,1745609379,19,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 100,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,100,None,None,1,None,i7186,,,,,,4740105
1745609720,1745609898,178,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1461 feature_id 3 batch_size 174 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 100,1461,3,174,str\(\'H\'\),1,str\(\'stdev\'\),0.999,100,0.69,168,0,None,i7176,168,524.48046875,524.4516858552631,-1,0.24240361408503003,4740754
1745610055,1745610075,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 431 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 100,431,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,100,None,None,1,None,i7180,,,,,,4740937
1745610350,1745610388,38,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2078 feature_id 3 batch_size 181 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 61,2078,3,181,str\(\'H\'\),2,str\(\'stdev\'\),0.999,61,0.69,27,0,None,i7050,27,525.0078125,524.8296875,-1,0.17921901107741817,4741112
1745611342,1745611380,38,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3998 feature_id 3 batch_size 20 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.10970193788961079 subsets 32,3998,3,20,str\(\'H\'\),2,str\(\'stdev\'\),0.10970193788961079,32,0.7,28,0,None,i7004,28,525.140625,524.97421875,-1,0.22408564886440993,4741672
1745611580,1745611675,95,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3775 feature_id 3 batch_size 71 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 67,3775,3,71,str\(\'H\'\),1,str\(\'stdev\'\),0.999,67,0.69,82,0,None,i7003,82,526.2265625,526.1828835227273,-1,0.22847948511665325,4741840
1745611796,1745611815,19,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 502 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 35,502,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,35,None,None,1,None,i7002,,,,,,4741994
1745611972,1745611999,27,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 104 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,3,104,str\(\'H\'\),2,str\(\'stdev\'\),0.999,1,0.7,16,0,None,i7185,16,525.1015625,524.9169921875,-1,0.43765084473049076,4742224
1745612311,1745612331,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,None,None,1,None,i7183,,,,,,4742357
1745612991,1745613016,25,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3565 feature_id 3 batch_size 69 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 32,3565,3,69,str\(\'H\'\),2,str\(\'stdev\'\),0.999,32,0.69,14,0,None,i7181,14,524.37109375,524.166015625,-1,0.166532582461786,4742650
1745613331,1745613383,52,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 675 feature_id 3 batch_size 194 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 73,675,3,194,str\(\'H\'\),1,str\(\'stdev\'\),0.999,73,0.69,41,0,None,i7183,41,525.74609375,525.6595982142857,-1,0.1440683210594715,4742785
1745612692,1745613625,933,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2999 feature_id 3 batch_size 49 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 100,2999,3,49,str\(\'H\'\),1,str\(\'stdev\'\),0.001,100,0.7,919,0,None,i7185,919,525.01171875,524.9785987367021,-1,0.33962497679311837,4742510
1745613711,1745613756,45,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2651 feature_id 3 batch_size 159 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 68,2651,3,159,str\(\'H\'\),1,str\(\'stdev\'\),0.999,68,0.7,37,0,None,i7183,37,524.91015625,524.8196614583334,-1,0.10260535924252738,4742945
1745614101,1745614128,27,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 238 feature_id 3 batch_size 388 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 30,238,3,388,str\(\'H\'\),1,str\(\'stdev\'\),0.999,30,0.69,13,0,None,i7186,13,526.14453125,526.001953125,-1,0.2604740392351012,4743110
1745614511,1745614537,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4077 feature_id 3 batch_size 417 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 16,4077,3,417,str\(\'H\'\),1,str\(\'stdev\'\),0.999,16,0.69,13,0,None,i7180,13,525.73046875,525.6083984375,-1,0.2322544711925243,4743281
1745615411,1745615444,33,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2470 feature_id 3 batch_size 573 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 74,2470,3,573,str\(\'H\'\),2,str\(\'stdev\'\),0.999,74,0.69,25,0,None,i7181,25,525.29296875,525.115625,-1,0.14184046042453122,4743657
1745615783,1745615796,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2722 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,2722,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7183,,,,,,4743823
1745616132,1745616298,166,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 286 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 100,5000,3,286,str\(\'H\'\),1,str\(\'stdev\'\),0.001,100,0.69,157,0,None,i7180,157,526.30859375,526.2808159722222,-1,0.35398230088495575,4743977
1745616412,1745616439,27,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2743 feature_id 3 batch_size 215 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 9,2743,3,215,str\(\'H\'\),1,str\(\'tstat\'\),0.001,9,0.69,13,0,None,i7185,13,525.46875,525.3271484375,-1,0.11974750912804011,4744079
1745616801,1745616814,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7180,,,,,,4744242
1745617213,1745617226,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1843 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1843,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7176,,,,,,4744404
1745617532,1745617577,45,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 184 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 60,5000,3,184,str\(\'H\'\),2,str\(\'stdev\'\),0.001,60,0.69,36,0,None,i7183,36,524.97265625,524.8385416666666,-1,0.26189739464075745,4744530
1745617852,1745617865,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 26,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,26,None,None,1,None,i7176,,,,,,4744652
1745618213,1745618252,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3387 feature_id 3 batch_size 114 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 42,3387,3,114,str\(\'H\'\),2,str\(\'tstat\'\),0.999,42,0.69,24,0,None,i7185,24,525.578125,525.384375,-1,0.2149266662540999,4744793
1745618534,1745618566,32,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1513 feature_id 3 batch_size 53 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 30,1513,3,53,str\(\'H\'\),2,str\(\'stdev\'\),0.001,30,0.7,20,0,None,i7176,20,524.59765625,524.388671875,-1,0.23943313323844298,4744928
1745618893,1745618906,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 19,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,19,None,None,1,None,i7176,,,,,,4745091
1745619834,1745619885,51,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1298 feature_id 3 batch_size 134 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 67,1298,3,134,str\(\'H\'\),2,str\(\'stdev\'\),0.999,67,0.7,42,0,None,i7183,42,524.5390625,524.4090401785714,-1,0.1824370319945541,4745474
1745620732,1745620791,59,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2532 feature_id 3 batch_size 143 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 67,2532,3,143,str\(\'H\'\),2,str\(\'tstat\'\),0.999,67,0.69,49,0,None,i7181,49,524.3671875,524.2109375,-1,0.21257503558388513,4745851
1745621062,1745621075,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2585 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,2585,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7181,,,,,,4745990
1745621473,1745621486,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 24,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,24,None,None,1,None,i7181,,,,,,4746141
1745621785,1745621825,40,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2465 feature_id 3 batch_size 457 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,2465,3,457,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,0.69,24,0,None,i7186,24,525.10546875,525.00078125,-1,0.8661427068506714,4746269
1745622083,1745622154,71,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1067 feature_id 3 batch_size 203 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 74,1067,3,203,str\(\'H\'\),2,str\(\'stdev\'\),0.001,74,0.69,62,0,None,i7186,62,525.6171875,525.5121527777778,-1,0.25125317160715394,4746388
1745622494,1745622507,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 10,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,10,None,None,1,None,i7185,,,,,,4746552
1745622913,1745622927,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7181,,,,,,4746742
1745623233,1745623310,77,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1399 feature_id 3 batch_size 135 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 63,1399,3,135,str\(\'H\'\),1,str\(\'stdev\'\),0.001,63,0.7,67,0,None,i7180,67,524.77734375,524.7135416666666,-1,0.34414258308063617,4746882
1745623574,1745623587,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 18,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,18,None,None,1,None,i7180,,,,,,4747027
1745623944,1745623957,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7186,,,,,,4747187
1745624272,1745624285,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1147 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 23,1147,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,23,None,None,1,None,i7180,,,,,,4747322
1745624593,1745624606,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 14,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,14,None,None,1,None,i7180,,,,,,4747441
1745624973,1745624986,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 17,5000,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,17,None,None,1,None,i7180,,,,,,4747596
1745625414,1745625428,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4965 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 20,4965,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,20,None,None,1,None,i7176,,,,,,4747769
1745625734,1745625760,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4658 feature_id 3 batch_size 323 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 17,4658,3,323,str\(\'H\'\),2,str\(\'stdev\'\),0.001,17,0.7,14,0,None,i7185,14,524.5390625,524.328125,-1,0.25608020298285783,4747887
1745626013,1745626046,33,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 814 feature_id 3 batch_size 144 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 50,814,3,144,str\(\'H\'\),2,str\(\'stdev\'\),0.999,50,0.7,21,0,None,i7178,21,524.859375,524.70625,-1,0.15149452317593912,4748005
1745626454,1745626479,25,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4002 feature_id 3 batch_size 133 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 1,4002,3,133,str\(\'H\'\),2,str\(\'stdev\'\),0.001,1,0.69,13,0,None,i7176,13,525.7734375,525.59375,-1,0.43622748932483446,4748185
1745626794,1745626853,59,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1241 feature_id 3 batch_size 83 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 48,1241,3,83,str\(\'H\'\),1,str\(\'stdev\'\),0.001,48,0.69,49,0,None,i7185,49,526.15234375,526.0859375,-1,0.3184603007611857,4748317
1745627215,1745627325,110,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4787 feature_id 3 batch_size 132 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 68,4787,3,132,str\(\'H\'\),1,str\(\'tstat\'\),0.999,68,0.7,95,0,None,i7185,95,525.140625,525.0794270833334,-1,0.32675289312457456,4748477
1745627554,1745627568,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 25,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,25,None,None,1,None,i7185,,,,,,4748613
1745627975,1745627995,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3661 feature_id 3 batch_size 85 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 80,3661,3,85,str\(\'H\'\),3,str\(\'stdev\'\),0.999,80,0.7,11,0,None,i7181,11,524.33203125,524.189453125,-1,0.18936815396992387,4748774
1745628295,1745628308,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1137 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 32,1137,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,32,None,None,1,None,i7176,,,,,,4748909
1745628674,1745628700,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2171 feature_id 3 batch_size 405 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 45,2171,3,405,str\(\'H\'\),1,str\(\'stdev\'\),0.999,45,0.69,14,0,None,i7181,14,524.87109375,524.7470703125,-1,0.17544402500154713,4749064
1745628954,1745628992,38,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 84 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 52,5000,3,84,str\(\'H\'\),1,str\(\'tstat\'\),0.001,52,0.7,27,0,None,i7176,27,524.61328125,523.9921875,-1,0.1663469274088743,4749187
1745629346,1745629517,171,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 180 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 100,5000,3,180,str\(\'H\'\),2,str\(\'stdev\'\),0.001,100,0.7,163,0,None,i7183,163,525.15625,525.0986842105264,-1,0.2339253666687295,4749339
1745629756,1745629783,27,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4616 feature_id 3 batch_size 80 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 14,4616,3,80,str\(\'H\'\),1,str\(\'tstat\'\),0.001,14,0.69,14,0,None,i7185,14,524.18359375,524.001953125,-1,0.14357324091837367,4749495
1745630139,1745630153,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2473 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,2473,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7185,,,,,,4749654
1745630485,1745630499,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 25,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,25,None,None,1,None,i7185,,,,,,4749792
1745630855,1745630868,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7180,,,,,,4749932
1745631215,1745631229,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1050 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 23,1050,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,23,None,None,1,None,i7186,,,,,,4750076
1745631535,1745631567,32,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 216 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,3,216,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,0.69,18,0,None,i7181,18,524.3671875,524.2353515625,-1,0.8654619716566619,4750193
1745631915,1745631940,25,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4864 feature_id 3 batch_size 128 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 45,4864,3,128,str\(\'H\'\),2,str\(\'stdev\'\),0.999,45,0.69,17,0,None,i7183,17,525.5625,525.34375,-1,0.17426820966643974,4750345
1745632255,1745632268,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 118 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,118,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7183,,,,,,4750483
1745632717,1745632737,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7178,,,,,,4750645
1745633034,1745633047,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 16,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,16,None,None,1,None,i7180,,,,,,4750782
1745633334,1745633385,51,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3081 feature_id 3 batch_size 213 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 82,3081,3,213,str\(\'H\'\),1,str\(\'tstat\'\),0.001,82,0.69,40,0,None,i7183,40,525.62109375,525.5306919642857,-1,0.13181508756729995,4750902
1745633664,1745633779,115,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4790 feature_id 3 batch_size 219 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 84,4790,3,219,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,84,0.69,103,0,None,i7180,103,526.0078125,525.9579326923077,-1,0.36592610928894115,4751034
1745634076,1745634148,72,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1042 feature_id 3 batch_size 156 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 75,1042,3,156,str\(\'H\'\),1,str\(\'tstat\'\),0.001,75,0.69,61,0,None,i7185,61,525.62890625,525.5555555555555,-1,0.16411906677393404,4751180
1745634495,1745634508,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7183,,,,,,4751336
1745634937,1745635127,190,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1693 feature_id 3 batch_size 323 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 100,1693,3,323,str\(\'H\'\),1,str\(\'stdev\'\),0.999,100,0.69,176,0,None,i7186,176,524.91796875,524.8865234375,-1,0.33603564577015904,4751498
1745635226,1745635278,52,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3772 feature_id 3 batch_size 333 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 66,3772,3,333,str\(\'H\'\),1,str\(\'stdev\'\),0.999,66,0.69,41,0,None,i7185,41,524.40625,524.3247767857143,-1,0.30905377808032675,4751621
1745635696,1745635715,19,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4146 feature_id 3 batch_size 87 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 100,4146,3,87,str\(\'H\'\),3,str\(\'stdev\'\),0.999,100,0.7,11,0,None,i7183,11,524.71484375,524.5732421875,-1,0.13459991336097532,4751798
1745636065,1745636091,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3281 feature_id 3 batch_size 167 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,3281,3,167,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,0.69,17,0,None,i7181,17,524.54296875,524.41796875,-1,0.868432452503249,4751937
1745636426,1745636452,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1668 feature_id 3 batch_size 110 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 57,1668,3,110,str\(\'H\'\),3,str\(\'tstat\'\),0.999,57,0.7,13,0,None,i7186,13,525.59765625,525.4384765625,-1,0.21783526208304968,4752065
1745636836,1745636849,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7185,,,,,,4752221
1745637295,1745637309,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 26,5000,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,26,None,None,1,None,i7185,,,,,,4752403
1745637616,1745637629,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7183,,,,,,4752534
1745637955,1745637969,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 19,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,19,None,None,1,None,i7181,,,,,,4752671
1745638355,1745638400,45,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3754 feature_id 3 batch_size 177 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 60,3754,3,177,str\(\'H\'\),2,str\(\'tstat\'\),0.999,60,0.69,32,0,None,i7183,32,525.37890625,525.23046875,-1,0.230026610557584,4752833
1745638676,1745638689,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 28,5000,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,28,None,None,1,None,i7181,,,,,,4752964
1745639055,1745639075,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 380 feature_id 3 batch_size 138 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 20,380,3,138,str\(\'H\'\),3,str\(\'stdev\'\),0.999,20,0.69,10,0,None,i7181,10,524.57421875,524.4130859375,-1,0.059780927037564206,4753147
1745639455,1745639494,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2042 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 68,2042,3,1,str\(\'H\'\),3,str\(\'tstat\'\),0.999,68,0.69,29,0,None,i7181,29,525.3125,525.1796875,-1,0.21727829692431463,4753311
1745639877,1745639890,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3802 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,3802,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7180,,,,,,4753488
1745640337,1745640421,84,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4917 feature_id 3 batch_size 212 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 83,4917,3,212,str\(\'H\'\),2,str\(\'stdev\'\),0.999,83,0.69,70,0,None,i7180,70,524.62109375,524.53515625,-1,0.15743548486911318,4753675
1745640697,1745640723,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2930 feature_id 3 batch_size 201 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 24,2930,3,201,str\(\'H\'\),3,str\(\'stdev\'\),0.001,24,0.69,12,0,None,i7186,12,525.6953125,525.5498046875,-1,0.27365554799183117,4753813
1745641157,1745641170,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 24,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,24,None,None,1,None,i7180,,,,,,4753977
1745641618,1745641632,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7178,,,,,,4754175
1745641976,1745642002,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 865 feature_id 3 batch_size 155 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 56,865,3,155,str\(\'H\'\),3,str\(\'stdev\'\),0.001,56,0.69,13,0,None,i7176,13,525.23046875,525.0859375,-1,0.23980444334426634,4754312
1745642357,1745642390,33,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 707 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,3,707,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,0.69,21,0,None,i7185,21,525.66796875,525.584375,-1,0.838851414072653,4754465
1745642838,1745642851,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1088 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1088,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7185,,,,,,4754653
1745643337,1745643363,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 123 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,3,123,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,0.69,17,0,None,i7181,17,526.3203125,526.2177734375,-1,0.8734451389318646,4754851
1745643778,1745643797,19,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2729 feature_id 3 batch_size 124 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 82,2729,3,124,str\(\'H\'\),3,str\(\'stdev\'\),0.001,82,0.7,11,0,None,i7183,11,525.82421875,525.6572265625,-1,0.20719103904944614,4755016
1745644297,1745644310,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4900 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,4900,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7186,,,,,,4755220
1745644758,1745644771,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 13,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,13,None,None,1,None,i7181,,,,,,4755383
1745645076,1745645096,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 505 feature_id 3 batch_size 92 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 67,505,3,92,str\(\'H\'\),3,str\(\'stdev\'\),0.001,67,0.7,11,0,None,i7181,11,525.75,525.609375,-1,0.26189739464075745,4755505
1745645427,1745645440,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1787 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1787,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7181,,,,,,4755634
1745645846,1745645859,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1124 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 17,1124,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,17,None,None,1,None,i7181,,,,,,4755817
1745646257,1745646289,32,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 922 feature_id 3 batch_size 512 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 65,922,3,512,str\(\'H\'\),1,str\(\'stdev\'\),0.001,65,0.69,21,0,None,i7181,21,525.21484375,525.11484375,-1,0.22179590321183243,4755969
1745646687,1745646726,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 591 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 85,591,3,1,str\(\'H\'\),3,str\(\'stdev\'\),0.999,85,0.69,26,0,None,i7181,26,524.84375,524.74453125,-1,0.21727829692431463,4756128
1745647056,1745647063,7,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3024 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,3024,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7181,,,,,,4756271
1745647600,1745647715,115,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3575 feature_id 3 batch_size 79 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 62,3575,3,79,str\(\'H\'\),1,str\(\'tstat\'\),0.999,62,0.7,102,0,None,i7180,102,524.578125,524.5189302884615,-1,0.34222414753388203,4756466
1745647998,1745648024,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4484 feature_id 3 batch_size 159 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 54,4484,3,159,str\(\'H\'\),2,str\(\'stdev\'\),0.999,54,0.69,14,0,None,i7180,14,525.40625,525.189453125,-1,0.019679435608639148,4756619
1745648518,1745648532,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7185,,,,,,4756820
1745649038,1745649064,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4906 feature_id 3 batch_size 64 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 33,4906,3,64,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,33,0.69,17,0,None,i7185,17,524.33203125,524.1201171875,-1,0.1267405161210471,4757037
1745649378,1745649391,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7186,,,,,,4757160
1745649808,1745649821,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 24,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,24,None,None,1,None,i7185,,,,,,4757339
1745650258,1745650297,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1991 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 62,1991,3,1,str\(\'H\'\),3,str\(\'stdev\'\),0.999,62,0.69,28,0,None,i7180,28,524.4140625,524.29140625,-1,0.21727829692431463,4757527
1745650759,1745650772,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7185,,,,,,4757730
1745651238,1745651251,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 18,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,18,None,None,1,None,i7181,,,,,,4757921
1745651610,1745651623,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 26,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,26,None,None,1,None,i7178,,,,,,4758065
1745651999,1745652012,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3147 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 33,3147,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,33,None,None,1,None,i7185,,,,,,4758208
1745652338,1745652351,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7178,,,,,,4758344
1745652698,1745652736,38,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1482 feature_id 3 batch_size 159 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 55,1482,3,159,str\(\'H\'\),2,str\(\'stdev\'\),0.001,55,0.69,31,0,None,i7183,31,525.9609375,525.8118489583334,-1,0.250201126307321,4758475
1745653078,1745653091,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 20,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,20,None,None,1,None,i7183,,,,,,4758610
1745653518,1745653531,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2014 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 26,2014,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,26,None,None,1,None,i7181,,,,,,4758769
1745653949,1745653963,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7185,,,,,,4758937
1745654308,1745654328,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 428 feature_id 3 batch_size 240 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 14,428,3,240,str\(\'H\'\),3,str\(\'tstat\'\),0.001,14,0.7,11,0,None,i7178,11,524.25390625,524.0498046875,-1,0.10396682963054645,4759074
1745654720,1745654989,269,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1854 feature_id 3 batch_size 194 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 100,1854,3,194,str\(\'H\'\),1,str\(\'stdev\'\),0.001,100,0.69,256,0,None,i7178,256,525.49609375,525.1209542410714,-1,0.3361594158054335,4759213
1745655269,1745655295,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1829 feature_id 3 batch_size 77 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 16,1829,3,77,str\(\'H\'\),3,str\(\'stdev\'\),0.001,16,0.7,14,0,None,i7180,14,524.2421875,524.0751953125,-1,0.24778761061946902,4759415
1745655719,1745655732,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4149 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 20,4149,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,20,None,None,1,None,i7185,,,,,,4759576
1745656228,1745656241,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1938 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1938,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7180,,,,,,4759770
1745656639,1745656652,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 20,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,20,None,None,1,None,i7180,,,,,,4759925
1745657101,1745657140,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 56 feature_id 3 batch_size 77 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 34,56,3,77,str\(\'H\'\),2,str\(\'tstat\'\),0.999,34,0.7,24,0,None,i7186,24,524.40234375,524.20078125,-1,0.24778761061946902,4760083
1745657670,1745657696,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 372 feature_id 3 batch_size 301 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 11,372,3,301,str\(\'H\'\),2,str\(\'tstat\'\),0.001,11,0.69,12,0,None,i7185,12,524.18359375,523.94140625,-1,0.11176434185283743,4760280
1745658029,1745658055,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2578 feature_id 3 batch_size 127 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 31,2578,3,127,str\(\'H\'\),1,str\(\'tstat\'\),0.001,31,0.7,14,0,None,i7186,14,525.68359375,525.501953125,-1,0.18862553375827712,4760416
1745658459,1745658478,19,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2703 feature_id 3 batch_size 52 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 75,2703,3,52,str\(\'H\'\),3,str\(\'tstat\'\),0.001,75,0.7,10,0,None,i7183,10,526.29296875,526.1259765625,-1,0.14338758586546196,4760586
1745658920,1745658940,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3842 feature_id 3 batch_size 97 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 63,3842,3,97,str\(\'H\'\),3,str\(\'tstat\'\),0.001,63,0.69,11,0,None,i7186,11,525.02734375,524.8603515625,-1,0.10204839408379231,4760751
1745659439,1745659458,19,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4104 feature_id 3 batch_size 103 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 97,4104,3,103,str\(\'H\'\),3,str\(\'tstat\'\),0.001,97,0.69,10,0,None,i7181,10,525.3125,525.0716145833334,-1,0.15935392041586732,4760952
1745659889,1745659903,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7185,,,,,,4761139
1745660379,1745660392,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1751 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 19,1751,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,19,None,None,1,None,i7180,,,,,,4761321
1745660940,1745660953,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2142 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 32,2142,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,32,None,None,1,None,i7185,,,,,,4761536
1745661300,1745661313,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4091 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,4091,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7180,,,,,,4761685
1745661800,1745661832,32,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 174 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 59,1,3,174,str\(\'H\'\),2,str\(\'tstat\'\),0.001,59,0.69,19,0,None,i7186,19,524.3046875,524.0634765625,-1,0.07537595148214617,4761880
1745662261,1745662274,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7181,,,,,,4762071
1745662720,1745662733,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 870 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 30,870,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,30,None,None,1,None,i7178,,,,,,4762251
1745663160,1745663309,149,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2790 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 23,2790,3,1,str\(\'H\'\),2,str\(\'tstat\'\),0.999,23,0.69,138,0,None,i7186,138,526.30859375,526.25341796875,-1,0.21727829692431463,4762423
1745663541,1745663567,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 77 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,3,77,str\(\'H\'\),2,str\(\'stdev\'\),0.001,1,0.7,16,0,None,i7185,16,524.9765625,524.7841796875,-1,0.4383934649421375,4762580
1745664200,1745664214,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7183,,,,,,4762820
1745664660,1745664673,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 20,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,20,None,None,1,None,i7180,,,,,,4762999
1745665111,1745665157,46,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 44,1,3,1,str\(\'H\'\),3,str\(\'stdev\'\),0.001,44,0.69,33,0,None,i7185,33,524.01171875,523.9381510416666,-1,0.21727829692431463,4763179
1745665531,1745665544,13,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1958 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 21,1958,3,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,21,None,None,1,None,i7183,,,,,,4763333
1745666021,1745666041,20,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 105 feature_id 3 batch_size 290 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 19,105,3,290,str\(\'H\'\),2,str\(\'stdev\'\),0.001,19,0.69,11,0,None,i7181,11,524.26953125,524.068359375,-1,0.2333065164923572,4763505
1745666461,1745666488,27,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1684 feature_id 3 batch_size 331 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 37,1684,3,331,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,37,0.69,15,0,None,i7185,15,524.91796875,524.7802734375,-1,0.2040349031499474,4763672
1745667032,1745667058,26,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2291 feature_id 3 batch_size 61 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 60,2291,3,61,str\(\'H\'\),3,str\(\'tstat\'\),0.999,60,0.7,16,0,None,i7186,16,525.48828125,525.29296875,-1,0.23491552695092519,4763878
1745667521,1745667535,14,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 22,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,22,None,None,1,None,i7185,,,,,,4764057
1745667981,1745668008,27,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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1718 feature_id 3 batch_size 114 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 41,1718,3,114,str\(\'H\'\),2,str\(\'tstat\'\),0.001,41,0.69,17,0,None,i7185,17,524.35546875,524.1083984375,-1,0.12321307011572498,4764218

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/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4632720/4632720_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4633203/4633203_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4633780/4633780_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4634798/4634798_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4636092/4636092_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4637270/4637270_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4637907/4637907_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4639456/4639456_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4639921/4639921_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4640657/4640657_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4641629/4641629_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4642809/4642809_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4643195/4643195_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4643506/4643506_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4644001/4644001_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4644456/4644456_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4645683/4645683_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4648470/4648470_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4648993/4648993_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4649281/4649281_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4649449/4649449_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4649748/4649748_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4649924/4649924_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4651679/4651679_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4656394/4656394_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4657491/4657491_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4660967/4660967_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4661297/4661297_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4661804/4661804_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4662511/4662511_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4664683/4664683_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4671548/4671548_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4672583/4672583_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4673580/4673580_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4674294/4674294_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4674682/4674682_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4675149/4675149_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4675639/4675639_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4677293/4677293_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4677827/4677827_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4678171/4678171_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4678951/4678951_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4679297/4679297_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4680738/4680738_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4682161/4682161_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4682868/4682868_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4683420/4683420_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4683871/4683871_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4684092/4684092_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4684204/4684204_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4684349/4684349_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4684587/4684587_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4684715/4684715_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4684851/4684851_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685307/4685307_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685365/4685365_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685429/4685429_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685478/4685478_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685554/4685554_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685627/4685627_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685757/4685757_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685811/4685811_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685856/4685856_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685918/4685918_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685980/4685980_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4686143/4686143_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4686215/4686215_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4686287/4686287_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4686362/4686362_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4686516/4686516_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4686597/4686597_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4686687/4686687_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687146/4687146_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687225/4687225_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687292/4687292_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687371/4687371_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687431/4687431_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687501/4687501_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687581/4687581_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687658/4687658_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687747/4687747_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687814/4687814_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687903/4687903_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687989/4687989_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4688057/4688057_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4688125/4688125_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4688270/4688270_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4688341/4688341_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4688412/4688412_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4688492/4688492_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4688570/4688570_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4689054/4689054_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4689317/4689317_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4689982/4689982_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4690328/4690328_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4690611/4690611_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4690882/4690882_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4691170/4691170_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4691770/4691770_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4692155/4692155_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4692769/4692769_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4693335/4693335_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4693920/4693920_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4697054/4697054_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4700390/4700390_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4701237/4701237_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4701793/4701793_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4705272/4705272_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4705688/4705688_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4706289/4706289_0_log.err not found


⚠ Job 4703362 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4703362/4703362_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4703362/4703362_0_log.out
----------------------------------------
submitit INFO (2025-04-24 22:50:58,213) - Starting with JobEnvironment(job_id=4703362, hostname=i7182, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-24 22:50:58,215) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4703362/4703362_submitted.pkl
slurmstepd: error: *** JOB 4703362 ON i7182 CANCELLED AT 2025-04-25T00:51:01 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4703362/4703362_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4707340/4707340_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4708672/4708672_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4711767/4711767_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4711887/4711887_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4711982/4711982_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4712090/4712090_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4712184/4712184_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4712265/4712265_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4712374/4712374_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4712475/4712475_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4712565/4712565_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4712665/4712665_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4712774/4712774_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4712862/4712862_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4712948/4712948_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4713029/4713029_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4713115/4713115_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4713199/4713199_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4713279/4713279_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4713358/4713358_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4713469/4713469_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4713547/4713547_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4713634/4713634_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4713705/4713705_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4713800/4713800_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4713877/4713877_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4713977/4713977_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4714056/4714056_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4714141/4714141_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4714236/4714236_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4714324/4714324_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4714502/4714502_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4715098/4715098_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4715575/4715575_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4716585/4716585_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4717911/4717911_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4718259/4718259_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4718616/4718616_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4718928/4718928_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4722084/4722084_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4722366/4722366_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4723660/4723660_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4724911/4724911_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4725135/4725135_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4725235/4725235_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4725350/4725350_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4725457/4725457_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4725701/4725701_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4726276/4726276_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4726615/4726615_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4726921/4726921_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4727211/4727211_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4727824/4727824_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4728105/4728105_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4733083/4733083_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4733548/4733548_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4734482/4734482_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4740105/4740105_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4740937/4740937_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4741994/4741994_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4742357/4742357_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4743823/4743823_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4744242/4744242_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4744404/4744404_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4744652/4744652_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4745091/4745091_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4745990/4745990_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4746141/4746141_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4746552/4746552_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4746742/4746742_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4747027/4747027_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4747187/4747187_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4747322/4747322_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4747441/4747441_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4747596/4747596_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4747769/4747769_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4748613/4748613_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4748909/4748909_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4749654/4749654_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4749792/4749792_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4749932/4749932_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4750076/4750076_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4750483/4750483_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4750645/4750645_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4750782/4750782_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4751336/4751336_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4752221/4752221_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4752403/4752403_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4752534/4752534_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4752671/4752671_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4752964/4752964_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4753488/4753488_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4753977/4753977_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4754175/4754175_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4754653/4754653_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4755220/4755220_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4755383/4755383_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4755634/4755634_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4755817/4755817_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4756271/4756271_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4756820/4756820_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4757160/4757160_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4757339/4757339_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4757730/4757730_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4757921/4757921_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4758065/4758065_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4758208/4758208_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4758344/4758344_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4758610/4758610_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4758769/4758769_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4758937/4758937_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4759576/4759576_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4759770/4759770_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4759925/4759925_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4761139/4761139_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4761321/4761321_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4761536/4761536_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4761685/4761685_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4762071/4762071_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4762251/4762251_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4762820/4762820_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4762999/4762999_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4763333/4763333_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4764057/4764057_0_log.err not found

Copy raw data to clipboard

Download »oo_errors.txt« as file

Arguments Overview:

Copy raw data to clipboard

Download »worker_usage.csv« as file

1745405897.3240032,20,0,0
1745405911.1518943,20,0,0
1745405912.4646142,20,0,0
1745405912.8130968,20,0,0
1745405914.7752476,20,1,5
1745405921.9203625,20,1,5
1745405923.0703893,20,1,5
1745405923.3714418,20,1,5
1745405926.156093,20,2,10
1745405936.791886,20,2,10
1745405937.8547843,20,2,10
1745405938.1348379,20,2,10
1745405939.5315971,20,3,15
1745405952.4652987,20,3,15
1745405953.478012,20,3,15
1745405953.6909962,20,3,15
1745405955.095321,20,4,20
1745405971.5846932,20,4,20
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timestamp,ram_usage_mb,cpu_usage_percent
1745405897,647.69140625,43.0
1745405897,647.6953125,41.2
1745405897,647.75390625,39.7
1745405897,647.75390625,40.8
1745405897,647.75390625,46.5
1745405897,647.75390625,39.8
1745405897,647.75390625,42.2
1745406536,699.63671875,45.5
1745406536,699.63671875,34.3
1745406536,699.63671875,40.8
1745406536,699.63671875,41.0
1745415208,955.88671875,26.0
1745415208,955.88671875,9.6
1745415208,955.88671875,9.1
1745415208,955.88671875,12.8
1745422678,946.3984375,11.0
1745422678,946.3984375,10.1
1745422679,946.3984375,9.9
1745422679,946.3984375,5.9
1745430178,986.390625,11.4
1745430178,986.390625,10.7
1745430178,986.390625,10.6
1745430178,986.390625,10.4
1745439520,993.74609375,11.6
1745439520,993.74609375,10.5
1745439520,993.74609375,10.5
1745439520,993.74609375,11.6
1745451960,1014.05859375,11.7
1745451960,1014.05859375,11.7
1745451960,1014.05859375,11.3
1745451960,1014.05859375,12.7
1745464972,1025.49609375,11.7
1745464972,1025.49609375,12.3
1745464972,1025.49609375,12.2
1745464972,1025.49609375,11.6
1745477715,1026.890625,11.8
1745477715,1026.890625,11.1
1745477715,1026.890625,10.9
1745477715,1026.890625,13.5
1745487130,1041.91015625,11.5
1745487130,1041.91015625,10.5
1745487130,1041.91015625,10.7
1745487130,1041.91015625,13.3
1745492798,1086.78515625,10.7
1745492798,1086.78515625,10.5
1745492798,1086.78515625,10.7
1745492798,1086.78515625,13.1
1745498159,1074.90234375,11.2
1745498159,1074.90234375,10.3
1745498159,1074.90234375,10.4
1745498159,1074.90234375,9.6
1745510487,1112.73828125,11.6
1745510487,1112.73828125,10.6
1745510487,1112.73828125,11.4
1745510487,1112.73828125,13.2
1745526375,1050.90234375,11.8
1745526375,1050.90234375,11.5
1745526375,1050.90234375,11.5
1745526375,1050.90234375,10.6
1745543531,1098.75390625,11.8
1745543531,1098.75390625,11.5
1745543531,1098.75390625,11.6
1745543531,1098.75390625,10.9
1745548512,1062.25,11.5
1745548512,1062.25,12.2
1745548512,1062.25,12.2
1745548512,1062.25,9.1
1745557636,1093.125,11.9
1745557636,1093.125,12.0
1745557637,1093.125,11.7
1745557637,1093.125,13.0
1745571764,1168.18359375,11.8
1745571764,1168.18359375,10.7
1745571764,1168.18359375,10.7
1745571764,1168.18359375,10.8
1745583639,1151.4765625,11.7
1745583639,1151.4765625,11.1
1745583639,1151.4765625,10.9
1745583639,1151.4765625,15.0
1745605180,1121.66015625,11.9
1745605180,1121.66015625,11.1
1745605180,1121.66015625,11.3
1745605180,1121.66015625,5.7
1745616830,1157.625,11.6
1745616830,1157.625,11.8
1745616830,1157.625,11.8
1745616830,1157.625,12.5
1745624994,1159.0,12.0
1745624994,1159.0,11.3
1745624994,1159.0,11.0
1745624994,1159.0,5.7
1745632267,1159.36328125,11.6
1745632267,1159.36328125,11.2
1745632267,1159.36328125,11.5
1745632267,1159.36328125,8.6
1745639885,1237.078125,12.1
1745639885,1237.078125,11.9
1745639885,1237.078125,11.6
1745639885,1237.078125,12.0
1745648525,1217.78125,11.7
1745648525,1217.78125,10.1
1745648525,1217.78125,10.7
1745648525,1217.78125,13.3
1745657104,1207.49609375,11.9
1745657104,1207.49609375,11.0
1745657104,1207.49609375,11.1
1745657104,1207.49609375,12.5
1745666478,1226.0078125,11.8
1745666478,1226.0078125,11.3
1745666478,1226.0078125,10.2
1745666478,1226.0078125,9.8

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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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				margin-left: -3px;
				margin-bottom: 1px;
			}
			
			.window {
				min-width: 1100px;
			}
			
			[role="tab"] {
				padding: 10px !important;
			}
			
			[role="tabpanel"] {
				min-width: fit-content;
			}
			
			select {
				border: 1px solid #7f9db9;
				background-image: url("data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 -0.5 15 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e6eefc' d='M0 0h1'/%3E%3Cpath stroke='%23d1e0fd' d='M1 0h1M0 1h1m3 0h2M2 3h1M2 4h1'/%3E%3Cpath stroke='%23cad8f9' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23c4d3f7' d='M3 0h1M0 3h1M0 4h1'/%3E%3Cpath stroke='%23bfd0f8' d='M4 0h2M0 5h1'/%3E%3Cpath stroke='%23bdcef7' d='M6 0h1M0 6h1'/%3E%3Cpath stroke='%23baccf4' d='M7 0h1m6 2h1m-1 5h1m-1 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M8 0h1M0 7h1M0 8h1'/%3E%3Cpath stroke='%23b7caf5' d='M9 0h2M0 9h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 0h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 0h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 0h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 0h1'/%3E%3Cpath stroke='%23e1eafe' d='M1 1h1'/%3E%3Cpath stroke='%23dae6fe' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23d4e1fc' d='M3 1h1M1 3h1M1 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M6 1h1M1 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M7 1h1M4 2h2'/%3E%3Cpath stroke='%23cad9fd' d='M8 1h1M6 2h1M3 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M9 1h2'/%3E%3Cpath stroke='%23c5d6fc' d='M11 1h1M2 11h4'/%3E%3Cpath stroke='%23c2d3fc' d='M12 1h1m-2 1h1M1 11h1m0 1h2m-2 1h2'/%3E%3Cpath stroke='%23bccefa' d='M13 1h1m-1 1h1m-1 1h1m-1 1h1M3 15h4'/%3E%3Cpath stroke='%23b9c9f3' d='M14 1h1M3 16h4'/%3E%3Cpath stroke='%23d8e3fc' d='M2 2h1'/%3E%3Cpath stroke='%23d1defd' d='M3 2h1'/%3E%3Cpath stroke='%23c9d8fc' d='M7 2h1M4 3h3M4 4h3M3 6h1m1 0h2M1 7h1M1 8h1'/%3E%3Cpath stroke='%23c5d5fc' d='M8 2h1m-8 8h5'/%3E%3Cpath stroke='%23c5d3fc' d='M9 2h2'/%3E%3Cpath stroke='%23bed0fc' d='M12 2h1M8 3h1M8 4h1m-8 8h1m-1 1h1m0 1h1m1 0h3'/%3E%3Cpath stroke='%23cddbfc' d='M3 3h1M3 4h1M1 6h2'/%3E%3Cpath stroke='%23c8d5fb' d='M7 3h1M7 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M9 3h4M9 4h4M8 5h1M7 6h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 3h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23ceddfd' d='M2 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M4 5h4M1 9h3'/%3E%3Cpath stroke='%23bacdfc' d='M9 5h2m1 0h2M1 14h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1M8 6h2m2 0h2m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%234d6185' d='M4 6h1m5 0h1M3 7h3m3 0h3M4 8h3m1 0h3M5 9h5m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 6h1m0 1h1m-1 1h1'/%3E%3Cpath stroke='%23cad8fd' d='M2 7h1M2 8h2'/%3E%3Cpath stroke='%23c1d3fb' d='M6 7h2M7 8h1M4 9h1'/%3E%3Cpath stroke='%23b6cefb' d='M8 7h1m2 1h1m-2 1h3m-2 1h2'/%3E%3Cpath stroke='%23b6cdfb' d='M13 9h1m-6 6h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 9h1'/%3E%3Cpath stroke='%23b4c8f6' d='M0 10h1'/%3E%3Cpath stroke='%23bdd3fb' d='M9 10h2m-4 4h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 10h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 10h1'/%3E%3Cpath stroke='%23b1c7f6' d='M0 11h1'/%3E%3Cpath stroke='%23c3d5fd' d='M6 11h1'/%3E%3Cpath stroke='%23bad4fc' d='M8 11h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M9 11h4m-2 3h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 11h1m-3 4h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 11h1m-7 5h3'/%3E%3Cpath stroke='%23adc3f6' d='M0 12h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c2d5fc' d='M4 12h4m-4 1h4'/%3E%3Cpath stroke='%23b7d3fc' d='M9 12h2m-2 1h2m-3 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 12h1m-1 1h1'/%3E%3Cpath stroke='%23afcdfb' d='M12 12h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afcbfa' d='M13 12h1m-1 1h1'/%3E%3Cpath stroke='%23b2c8f4' d='M14 12h1m-1 1h1m-4 3h1'/%3E%3Cpath stroke='%23c1d2fb' d='M3 14h1'/%3E%3Cpath stroke='%23b6d1fb' d='M9 14h2'/%3E%3Cpath stroke='%23adc9f9' d='M13 14h1m-2 1h1'/%3E%3Cpath stroke='%23b1c6f3' d='M14 14h1m-3 2h1'/%3E%3Cpath stroke='%23abc1f4' d='M0 15h1'/%3E%3Cpath stroke='%23b7cbf9' d='M1 15h1'/%3E%3Cpath stroke='%23b9cefb' d='M2 15h1'/%3E%3Cpath stroke='%23b9cffb' d='M7 15h1'/%3E%3Cpath stroke='%23b2cdfb' d='M9 15h2'/%3E%3Cpath stroke='%23aec8f7' d='M13 15h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 15h1m-2 1h1'/%3E%3Cpath stroke='%23dbe3f8' d='M0 16h1'/%3E%3Cpath stroke='%23b7c6f1' d='M1 16h1'/%3E%3Cpath stroke='%23b8c9f2' d='M2 16h1m4 0h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 16h1'/%3E%3C/svg%3E");
				background-size: 15px;
				font-size: 11px;
				border: none;
				background-color: #fff;
				box-sizing: border-box;
				height: 21px;
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				position: relative;
				padding: 5px 32px 32px 5px;
				background-position: top 50% right 2px;
				background-repeat: no-repeat;
				border-radius: 0;
				border: 1px solid black;
			}
			

			body {
				font-variant: oldstyle-nums;
				font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
				background-color: #fafafa;
				text-shadow: 0 0.05em 0.1em rgba(0,0,0,0.2);
				scroll-behavior: smooth;
				text-wrap: balance;
				text-rendering: optimizeLegibility;
				-webkit-font-smoothing: antialiased;
				-moz-osx-font-smoothing: grayscale;
				font-feature-settings: "ss02", "liga", "onum";
			}
			
			.marked_text {
				background-color: yellow;
			}
			
			.time_picker_container {
				font-variant: small-caps;
				width: 100%;
			}
			
			.time_picker_container > input {
				width: 50px;
			}
			
			#loader {
				display: grid;
				justify-content: center;
				align-items: center;
				height: 100%;
			}
			
			.no_linebreak {
				line-break: auto;
			}
			
			.dark_code_bg {
				background-color: #363636;
				color: white;
			}
			
			.code_bg {
				background-color: #C0C0C0;
			}
			
			#commands {
				line-break: anywhere;
			}
			
			.color_red {
				color: red;
			}
			
			.color_orange {
				color: orange;
			}
			
			table > tbody > tr:nth-child(odd) {
				background-color: #fafafa;
			}
			
			table > tbody > tr:nth-child(even) {
				background-color: #ddd;
			}
			
			table {
				border-collapse: collapse;
				margin: 0 0;
				min-width: 200px;
			}
			
			th {
				background-color: #4eae46;
				color: #ffffff;
				text-align: left;
				border: 0px;
			}
			
			.error_element {
				background-color: #e57373;
				border-radius: 10px;
				padding: 4px;
				display: none;
			}
			
			button {
				background-color: #4eae46;
				border: 1px solid #2A8387;
				border-radius: 4px;
				box-shadow: rgba(0, 0, 0, 0.12) 0 1px 1px;
				cursor: pointer;
				display: block;
				line-height: 100%;
				outline: 0;
				padding: 11px 15px 12px;
				text-align: center;
				transition: box-shadow .05s ease-in-out, opacity .05s ease-in-out;
				user-select: none;
				-webkit-user-select: none;
				touch-action: manipulation;
				font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
			}
			
			button:hover {
				box-shadow: rgba(255, 255, 255, 0.3) 0 0 2px inset, rgba(0, 0, 0, 0.4) 0 1px 2px;
				text-decoration: none;
				transition-duration: .15s, .15s;
			}
			
			button:active {
				box-shadow: rgba(0, 0, 0, 0.15) 0 2px 4px inset, rgba(0, 0, 0, 0.4) 0 1px 1px;
			}
			
			button:disabled {
				cursor: not-allowed;
				opacity: .6;
			}
			
			button:disabled:active {
				pointer-events: none;
			}
			
			button:disabled:hover {
				box-shadow: none;
			}
			
			.half_width_td {
				vertical-align: baseline;
				width: 50%;
			}
			
			#scads_bar {
				width: 100%;
				margin: 0;
				padding: 0;
				user-select: none;
				user-drag: none;
				-webkit-user-drag: none;
				user-select: none;
				-moz-user-select: none;
				-webkit-user-select: none;
				-ms-user-select: none;
				display: -webkit-box;
			}
			
			.tab {
				display: inline-block;
				padding: 0px;
				margin: 0px;
				font-size: 16px;
				font-weight: bold;
				text-align: center;
				border-radius: 25px;
				text-decoration: none !important;
				transition: background-color 0.3s, color 0.3s;
				color: unset !important;
			}
			
			.tooltipster-base {
				border: 1px solid black;
				position: absolute;
				border-radius: 8px;
				padding: 2px;
				color: white;
				background-color: #61686f;
				width: 70%;
				min-width: 200px;
				pointer-events: none;
			}
			
			td {
				padding-top: 3px;
				padding-bottom: 3px;
			}
			
			.left_side {
				text-align: right;
			}
			
			.right_side {
				text-align: left;
			}
			
			.spinner {
				border: 8px solid rgba(0, 0, 0, 0.1);
				border-left: 8px solid #3498db;
				border-radius: 50%;
				width: 50px;
				height: 50px;
				animation: spin 1s linear infinite;
			}
			
			@keyframes spin {
				0% {
					transform: rotate(0deg);
				}
			
				100% {
					transform: rotate(360deg);
				}
			}
			
			#spinner-overlay {
				-webkit-text-stroke: 1px black;
				white !important;
				position: fixed;
				top: 0;
				left: 0;
				width: 100%;
				height: 100%;
				display: flex;
				justify-content: center;
				align-items: center;
				z-index: 9999;
			}
			
			#spinner-container {
				text-align: center;
				color: #fff;
				display: contents;
			}
			
			#spinner-text {
				font-size: 3vw;
				margin-left: 10px;
			}
			
			a, a:visited, a:active, a:hover, a:link {
				color: #007bff;
				text-decoration: none;
			}
			
			.copy-container {
				display: inline-block;
				position: relative;
				cursor: pointer;
				margin-left: 10px;
				color: blue;
			}
			
			.copy-container:hover {
				text-decoration: underline;
			}
			
			.clipboard-icon {
				position: absolute;
				top: 5px;
				right: 5px;
				font-size: 1.5em;
			}
			
			#main_tab {
				overflow: scroll;
				width: max-content;
			}
			
			.ui-tabs .ui-tabs-nav li {
				user-select: none;
			}
			
			.stacktrace_table {
				background-color: black !important;
				color: white !important;
			}
			
			#breadcrumb {
				user-select: none;
			}
			
			#statusBar {
				user-select: none;
			}
			
			.error_line {
				background-color: red !important;
				color: white !important;
			}
			
			.header_table {
				border: 0px !important;
				padding: 0px !important;
				width: revert !important;
				min-width: revert !important;
			}
			
			.img_auto_width {
				max-width: revert !important;
			}
			
			#main_dir_or_plot_view {
				display: inline-grid;
			}
			
			#refresh_button {
				width: 300px;
			}
			
			._share_link {
				color: black !important;
			}
			
			#footer_element {
				height: 30px;
				background-color: #f8f9fa;
				padding: 0px;
				text-align: center;
				border-top: 1px solid #dee2e6;
				width: 100%;
				box-sizing: border-box;
				position: fixed;
				bottom: 0;
				z-index: 2;
				margin-left: -9px;
				z-index: 99;
			}
			
			.switch {
				position: relative;
				display: inline-block;
				width: 50px;
				height: 26px;
			}
			
			.switch input {
				opacity: 0;
				width: 0;
				height: 0;
			}
			
			.slider {
				position: absolute;
				cursor: pointer;
				top: 0;
				left: 0;
				right: 0;
				bottom: 0;
				background-color: #ccc;
				transition: .4s;
				border-radius: 26px;
			}
			
			.slider:before {
				position: absolute;
				content: "";
				height: 20px;
				width: 20px;
				left: 3px;
				bottom: 3px;
				background-color: white;
				transition: .4s;
				border-radius: 50%;
			}
			
			input:checked + .slider {
				background-color: #444;
			}
			
			input:checked + .slider:before {
				transform: translateX(24px);
			}
			
			.mode-text {
				position: absolute;
				top: 5px;
				left: 65px;
				font-size: 14px;
				color: black;
				transition: .4s;
				width: 65px;
				display: block;
				font-size: 0.7rem;
				text-align: center;
			}
			
			input:checked + .slider .mode-text {
				content: "Dark Mode";
				color: white;
			}
			
			#mainContent {
				height: fit-content;
				min-height: 100%;
			}
			
			li {
				text-align: left;
			}
			
			#share_path {
				margin-bottom: 20px;
				margin-top: 20px;
			}
			
			#sortForm {
				margin-bottom: 20px;
			}
			
			.share_folder_buttons {
				margin-top: 10px;
				margin-bottom: 10px;
			}
			
			.nav_tab_button {
				margin: 10px;
			}
			
			.header_table {
				margin: 10px;
			}
			
			.no_border {
				border: unset !important;
			}
			
			.gui_table {
				padding: 5px !important;
			}
			
			.gui_parameter_row {
			}
			
			.gui_parameter_row_cell {
				border: unset !important;
			}
			
			.gui_param_table {
				width: 95%;
				margin: unset !important;
			}
			
			table td, table tr,
			.parameterRow table {
				padding: 2px !important;
			}
			
			.parameterRow table {
				margin: 0px;
				border: unset;
			}
			
			.parameterRow > td {
				border: 0px !important;
			}
			
			.parameter_config_table td, .parameter_config_table tr, #config_table th, #config_table td, #hidden_config_table th, #hidden_config_table td {
				border: 0px !important;
			}
			
			.green_text {
				color: green;
			}
			
			.remove_parameter {
				white-space: pre;
			}
			
			select {
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				background-color: #fff;
				color: #222;
				padding: 5px 30px 5px 5px;
				border: 1px solid #555;
				border-radius: 5px;
				cursor: pointer;
				outline: none;
				transition: all 0.3s ease;
				background:
					url("data:image/svg+xml;charset=UTF-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 10 6'%3E%3Cpath fill='%23888' d='M0 0l5 6 5-6z'/%3E%3C/svg%3E")
					no-repeat right 10px center,
				linear-gradient(180deg, #fff, #ecebe5 86%, #d8d0c4);
				background-size: 12px, auto;
			}
			
			select:hover {
				border-color: #888;
			}
			
			select:focus {
				border-color: #4caf50;
				box-shadow: 0 0 5px rgba(76, 175, 80, 0.5);
			}
			
			select::-ms-expand {
				display: none;
			}
			
			input, textarea {
				border-radius: 5px;
			}
			
			#search {
				width: 200px;
				max-width: 70%;
				background-image: url(images/search.svg);
				background-repeat: no-repeat;
				background-size: auto 40px;
				height: 40px;
				line-height: 40px;
				padding-left: 40px;
				box-sizing: border-box;
			}
			
			input[type="checkbox"] {
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				width: 25px;
				height: 25px;
				border: 2px solid #3498db;
				border-radius: 5px;
				background-color: #fff;
				position: relative;
				cursor: pointer;
				transition: all 0.3s ease;
				width: 25px !important;
			}
			
			input[type="checkbox"]:checked {
				background-color: #3498db;
				border-color: #2980b9;
			}
			
			input[type="checkbox"]:checked::before {
				content: '✔';
				position: absolute;
				left: 4px;
				top: 2px;
				color: #fff;
			}
			
			input[type="checkbox"]:hover {
				border-color: #2980b9;
				background-color: #3caffc;
			}
			
			.toc {
				margin-bottom: 20px;
			}
			
			.toc li {
				margin-bottom: 5px;
			}
			
			.toc a {
				text-decoration: none;
				color: #007bff;
			}
			
			.toc a:hover {
				text-decoration: underline;
			}
			
			.table-container {
				width: 100%;
				overflow-x: auto;
			}
			
			.section-header {
				background-color: #1d6f9a !important;
				color: white;
			}
			
			.warning {
				color: red;
			}
			
			.li_list a {
				text-decoration: none;
			}
			
			.gridjs-td {
				white-space: nowrap;
			}
			
			th, td {
				border: 1px solid gray !important;
			}
			
			.no_border {
				border: 0px !important;
			}
			
			.no_break {
			
			}
			
			img {
				user-select: none;
				pointer-events: none;
			}
			
			#config_table, #hidden_config_table {
				user-select: none;
			}
			
			.copy_clipboard_button {
				margin-bottom: 10px;
			}
			
			.badge_table {
				background-color: unset !important;
			}
			
			.make_markable {
				user-select: text;
			}
			
			.header-container {
				display: flex;
				flex-wrap: wrap;
				align-items: center;
				justify-content: space-between;
				gap: 1rem;
				padding: 10px;
				background: var(--header-bg, #fff);
				border-bottom: 1px solid #ccc;
			}
			
			.header-logo-group {
				display: flex;
				gap: 1rem;
				align-items: center;
				flex: 1 1 auto;
				min-width: 200px;
			}
			
			.logo-img {
				max-height: 45px;
				height: auto;
				width: auto;
				object-fit: contain;
				pointer-events: unset;
			}
			
			.header-badges {
				flex-direction: column;
				gap: 5px;
				align-items: flex-start;
				flex: 0 1 auto;
				margin-top: auto;
				margin-bottom: auto;
			}
			
			.badge-img {
				height: auto;
				max-width: 130px;
				margin-top: 3px;
			}
			
			.header-tabs {
				margin-top: 10px;
				display: flex;
				flex-wrap: wrap;
				gap: 10px;
				flex: 2 1 100%;
				justify-content: center;
			}
			
			.nav-tab {
				display: inline-block;
				text-decoration: none;
				padding: 8px 16px;
				border-radius: 20px;
				background: linear-gradient(to right, #4a90e2, #357ABD);
				color: white;
				font-weight: bold;
				white-space: nowrap;
				transition: background 0.2s ease-in-out, transform 0.2s;
				box-shadow: 0 2px 4px rgba(0,0,0,0.2);
			}
			
			.nav-tab:hover {
				background: linear-gradient(to right, #5aa0f2, #4a90e2);
				transform: translateY(-2px);
			}
			
			.current-tag {
				padding-left: 10px;
				font-size: 0.9rem;
				color: #666;
			}
			
			.header-theme-toggle {
				flex: 1 1 auto;
				align-items: center;
				margin-top: 20px;
				min-width: 120px;
			}
			
			.switch {
				position: relative;
				display: inline-block;
				width: 60px;
				height: 30px;
			}
			
			.switch input {
				display: none;
			}
			
			.slider {
				position: absolute;
				top: 0; left: 0; right: 0; bottom: 0;
				background-color: #ccc;
				border-radius: 34px;
				cursor: pointer;
			}
			
			.slider::before {
				content: "";
				position: absolute;
				height: 24px;
				width: 24px;
				left: 3px;
				bottom: 3px;
				background-color: white;
				transition: .4s;
				border-radius: 50%;
			}
			
			input:checked + .slider {
				background-color: #2196F3;
			}
			
			input:checked + .slider::before {
				transform: translateX(30px);
			}
			
			@media (max-width: 768px) {
				.header-logo-group,
				.header-badges,
				.header-theme-toggle {
					justify-content: center;
					flex: 1 1 100%;
					text-align: center;
					width: inherit;
				}
			
				.logo-img {
					max-height: 50px;
					pointer-events: unset;
				}
			
				.badge-img {
					max-width: 100px;
				}
			
				.hide_on_mobile {
					display: none;
				}
			
				.nav-tab {
					font-size: 0.9rem;
					padding: 6px 12px;
				}
			
				.header_button {
					white-space: pre;
					font-size: 2em;
				}
			}
			
			.header_button {
				white-space: pre;
				margin-top: 20px;
				margin: 5px;
			}
			
			.line_break_anywhere {
				line-break: anywhere;
			}
			
			.responsive-container {
				display: flex;
				flex-wrap: wrap;
				justify-content: space-between;
				gap: 20px;
			}
			
			.responsive-container .half {
				flex: 1 1 48%;
				box-sizing: border-box;
				min-width: 500px;
			}
			
			.config-section table {
				width: 100%;
				border-collapse: collapse;
			}
			
			@media (max-width: 768px) {
				.responsive-container .half {
					flex: 1 1 100%;
				}
			}
			
			@keyframes spin {
				0% {
					transform: rotate(0deg);
				}
			
				100% {
					transform: rotate(360deg);
				}
			}
			
			.rotate {
				animation: spin 2s linear infinite;
				display: inline-block;
			}
			
			input::placeholder {
				font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
			}
			
			.gridjs-th-content {
				overflow: visible !important;
			}
			
			.error_text {
				color: red;
			}
			
			h1, h2, h3, h4, h5, h6 {
				margin-top: 1em;
				font-weight: bold;
				color: #333;
				border-left: 5px solid #ccc;
				padding-left: 0.5em;
			}
			
			.no_cursive {
				font-style: normal;	
			}
			
			.caveat {
				background-color: #fff8b3;
				border: 1px solid #f2d600;
				padding: 1em 1em 1em 70px;
				position: relative;
				font-family: sans-serif;
				color: #665500;
				margin: 1em 0;
				border-radius: 4px;
			}
			
			.caveat h1, .caveat h2, .caveat h3, .caveat h4 {
				margin-top: 0;
				margin-bottom: 0.5em;
				font-weight: bold;
			}
			
			.caveat::before {
				content: "⚠️";
				font-size: 50px;
				line-height: 1;
				position: absolute;
				left: 10px;
				top: 50%;
				transform: translateY(-50%);
				pointer-events: none;
				user-select: none;
			}
			
			.caveat.warning::before { content: "⚠️"; }
			.caveat.stop::before { content: "🛑"; }
			.caveat.exclamation::before { content: "❗"; }
			.caveat.alarm::before { content: "🚨"; }
			.caveat.tip::before { content: "💡"; }
			
			.tutorial_icon {
				display: inline-block;
				font-size: 1.3em;
				line-height: 1;
				vertical-align: middle;
				transform: translateY(-10%);
				padding: 0.2em 0;
			}
			
			.highlight {
				background-color: yellow;
				font-weight: bold;
			}
			
			#searchResults li {
				opacity: 0;
				transform: translateY(8px);
				animation: fadeInUp 0.3s ease-out forwards;
				animation-delay: 0.05s;
				list-style: none;
				margin-bottom: 5px;
			}
			
			@keyframes fadeInUp {
				to {
					opacity: 1;
					transform: translateY(0);
				}
			}
			
			.search_headline {
				font-weight: bold;
				margin-top: 1em;
				margin-bottom: 0.3em;
				color: #444;
			}
			
			.search_share_path {
				color: black;
				display: block ruby;
				margin-top: 20px;
			}
			
			@media print {
				#scads_bar {
					display: none !important;
				}
			}
			

			/*! XP.css v0.2.6 - https: //botoxparty.github.io/XP.css/ */
			body{
				color: #222
			}
			
			.surface{
				background: #ece9d8
			}
			
			u{
				text-decoration: none;
				border-bottom: .5px solid #222
			}
			
			a{
				color: #00f
			}
			
			a: focus{
				outline: 1px dotted #00f
			}
			
			code,code *{
				font-family: monospace
			}
			
			pre{
				display: block;
				padding: 12px 8px;
				background-color: #000;
				color: silver;
				font-size: 1rem;
				margin: 0;
				overflow: scroll;
			}
			
			summary: focus{
				outline: 1px dotted #000
			}
			
			: :-webkit-scrollbar{
				width: 16px
			}
			
			: :-webkit-scrollbar: horizontal{
				height: 17px
			}
			
			: :-webkit-scrollbar-track{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='2' height='2' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 0H0v1h1v1h1V1H1V0z' fill='silver'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 0H1v1H0v1h1V1h1V0z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-color: #dfdfdf;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			: :-webkit-scrollbar-button: horizontal: end: increment,: :-webkit-scrollbar-button: horizontal: start: decrement,: :-webkit-scrollbar-button: vertical: end: increment,: :-webkit-scrollbar-button: vertical: start: decrement{
				display: block
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 6H7v1H6v1H5v1H4v1h7V9h-1V8H9V7H8V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: end{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 6H4v1h1v1h1v1h1v1h1V9h1V8h1V7h1V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 4H8v1H7v1H6v1H5v1h1v1h1v1h1v1h1V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M7 4H6v7h1v-1h1V9h1V8h1V7H9V6H8V5H7V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			button{
				border: none;
				background: #ece9d8;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf;
				border-radius: 0;
				min-width: 75px;
				min-height: 23px;
				padding: 0 12px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: inset -1px -1px #fff,inset 1px 1px #0a0a0a,inset -2px -2px #dfdfdf,inset 2px 2px grey
			}
			
			button.focused,button: focus{
				outline: 1px dotted #000;
				outline-offset: -4px
			}
			
			label{
				display: inline-flex;
				align-items: center
			}
			
			textarea{
				padding: 3px 4px;
				border: none;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0
			}
			
			textarea: focus{
				outline: none
			}
			
			select: focus option{
				color: #000;
				background-color: #fff
			}
			
			.vertical-bar{
				width: 4px;
				height: 20px;
				background: silver;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			&: disabled,&: disabled+label{
				color: grey;
				text-shadow: 1px 1px 0 #fff
			}
			
			input[type=radio]+label{
				line-height: 13px;
				position: relative;
				margin-left: 19px
			}
			
			input[type=radio]+label: before{
				content: "";
				position: absolute;
				top: 0;
				left: -19px;
				display: inline-block;
				width: 13px;
				height: 13px;
				margin-right: 6px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: active+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: checked+label: after{
				content: "";
				display: block;
				width: 5px;
				height: 5px;
				top: 5px;
				left: -14px;
				position: absolute;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='gray'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password]{
				padding: 3px 4px;
				border: 1px solid #7f9db9;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0;
				height: 21px;
				line-height: 2
			}
			
			input[type=email]: focus,input[type=password]: focus{
				outline: none
			}
			
			input[type=range]{
				-webkit-appearance: none;
				width: 100%;
				background: transparent
			}
			
			input[type=range]: focus{
				outline: none
			}
			
			input[type=range]: :-webkit-slider-thumb{
				-webkit-appearance: none;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range]: :-moz-range-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			.is-vertical{
				display: inline-block;
				width: 4px;
				height: 150px;
				transform: translateY(50%)
			}
			
			.is-vertical>input[type=range]{
				width: 150px;
				height: 4px;
				margin: 0 16px 0 10px;
				transform-origin: left;
				transform: rotate(270deg) translateX(calc(-50% + 8px))
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-thumb{
				transform: translateY(-8px) scaleX(-1)
			}
			
			.is-vertical>input[type=range]: :-moz-range-thumb{
				transform: translateY(2px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-webkit-slider-thumb{
				transform: translateY(-10px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-moz-range-thumb{
				transform: translateY(0) scaleX(-1)
			}
			
			.window{
				font-size: 11px;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #dfdfdf,inset -2px -2px grey,inset 2px 2px #fff;
				background: #ece9d8;
				padding: 3px
			}
			
			.window fieldset{
				margin-bottom: 9px
			}
			
			.title-bar{
				background: #000;
				padding: 3px 2px 3px 3px;
				display: flex;
				justify-content: space-between;
				align-items: center
			}
			
			.title-bar-text{
				font-weight: 700;
				color: #fff;
				letter-spacing: 0;
				margin-right: 24px
			}
			
			.title-bar-controls button{
				padding: 0;
				display: block;
				min-width: 16px;
				min-height: 14px
			}
			
			.title-bar-controls button: focus{
				outline: none
			}
			
			.window-body{
				margin: 8px
			}
			
			.window-body pre{
				margin: -8px
			}
			
			.status-bar{
				margin: 0 1px;
				display: flex;
				gap: 1px
			}
			
			.status-bar-field{
				box-shadow: inset -1px -1px #dfdfdf,inset 1px 1px grey;
				flex-grow: 1;
				padding: 2px 3px;
				margin: 0
			}
			
			ul.tree-view{
				display: block;
				background: #fff;
				padding: 6px;
				margin: 0
			}
			
			ul.tree-view li{
				list-style-type: none;
				margin-top: 3px
			}
			
			ul.tree-view a{
				text-decoration: none;
				color: #000
			}
			
			ul.tree-view a: focus{
				background-color: #2267cb;
				color: #fff
			}
			
			ul.tree-view ul{
				margin-top: 3px;
				margin-left: 16px;
				padding-left: 16px;
				border-left: 1px dotted grey
			}
			
			ul.tree-view ul>li{
				position: relative
			}
			
			ul.tree-view ul>li: before{
				content: "";
				display: block;
				position: absolute;
				left: -16px;
				top: 6px;
				width: 12px;
				border-bottom: 1px dotted grey
			}
			
			ul.tree-view ul>li: last-child: after{
				content: "";
				display: block;
				position: absolute;
				left: -20px;
				top: 7px;
				bottom: 0;
				width: 8px;
				background: #fff
			}
			
			ul.tree-view ul details>summary: before{
				margin-left: -22px;
				position: relative;
				z-index: 1
			}
			
			ul.tree-view details{
				margin-top: 0
			}
			
			ul.tree-view details>summary: before{
				text-align: center;
				display: block;
				float: left;
				content: "+";
				border: 1px solid grey;
				width: 8px;
				height: 9px;
				line-height: 9px;
				margin-right: 5px;
				padding-left: 1px;
				background-color: #fff
			}
			
			ul.tree-view details[open] summary{
				margin-bottom: 0
			}
			
			ul.tree-view details[open]>summary: before{
				content: "-"
			}
			
			fieldset{
				border-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='5' height='5' fill='gray' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h5v5H0V2h2v1h1V2H0' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h4v4H0V1h1v2h2V1H0'/%3E%3C/svg%3E") 2;
				padding: 10px;
				padding-block-start: 8px;
				margin: 0
			}
			
			legend{
				background: #ece9d8
			}
			
			menu[role=tablist]{
				position: relative;
				margin: 0 0 -2px;
				text-indent: 0;
				list-style-type: none;
				display: flex;
				padding-left: 3px
			}
			
			menu[role=tablist] button{
				z-index: 1;
				display: block;
				color: #222;
				text-decoration: none;
				min-width: unset
			}
			
			menu[role=tablist] button[aria-selected=true]{
				padding-bottom: 2px;margin-top: -2px;background-color: #ece9d8;position: relative;z-index: 8;margin-left: -3px;margin-bottom: 1px
			}
			
			menu[role=tablist] button: focus{
				outline: 1px dotted #222;outline-offset: -4px
			}
			
			menu[role=tablist].justified button{
				flex-grow: 1;text-align: center
			}
			
			[role=tabpanel]{
				padding: 14px;clear: both;background: linear-gradient(180deg,#fcfcfe,#f4f3ee);border: 1px solid #919b9c;position: relative;z-index: 2;margin-bottom: 9px
			}
			
			: :-webkit-scrollbar{
				width: 17px
			}
			
			: :-webkit-scrollbar-corner{
				background: #dfdfdf
			}
			
			: :-webkit-scrollbar-track: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 1' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1'/%3E%3Cpath stroke='%23f3f1ec' d='M1 0h1'/%3E%3Cpath stroke='%23f4f1ec' d='M2 0h1'/%3E%3Cpath stroke='%23f4f3ee' d='M3 0h1'/%3E%3Cpath stroke='%23f5f4ef' d='M4 0h1'/%3E%3Cpath stroke='%23f6f5f0' d='M5 0h1'/%3E%3Cpath stroke='%23f7f7f3' d='M6 0h1'/%3E%3Cpath stroke='%23f9f8f4' d='M7 0h1'/%3E%3Cpath stroke='%23f9f9f7' d='M8 0h1'/%3E%3Cpath stroke='%23fbfbf8' d='M9 0h1'/%3E%3Cpath stroke='%23fbfbf9' d='M10 0h2'/%3E%3Cpath stroke='%23fdfdfa' d='M12 0h1'/%3E%3Cpath stroke='%23fefefb' d='M13 0h3'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-track: horizontal{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 1 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1M0 16h1'/%3E%3Cpath stroke='%23f3f1ec' d='M0 1h1'/%3E%3Cpath stroke='%23f4f1ec' d='M0 2h1'/%3E%3Cpath stroke='%23f4f3ee' d='M0 3h1'/%3E%3Cpath stroke='%23f5f4ef' d='M0 4h1'/%3E%3Cpath stroke='%23f6f5f0' d='M0 5h1'/%3E%3Cpath stroke='%23f7f7f3' d='M0 6h1'/%3E%3Cpath stroke='%23f9f8f4' d='M0 7h1'/%3E%3Cpath stroke='%23f9f9f7' d='M0 8h1'/%3E%3Cpath stroke='%23fbfbf8' d='M0 9h1'/%3E%3Cpath stroke='%23fbfbf9' d='M0 10h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 12h1'/%3E%3Cpath stroke='%23fefefb' d='M0 13h1m-1 1h1m-1 1h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-position: 50%;
				background-repeat: no-repeat;
				background-color: #c8d6fb;
				background-size: 7px;
				border: 1px solid #fff;
				border-radius: 2px;
				box-shadow: inset -3px 0 #bad1fc,inset 1px 1px #b7caf5
			}
			
			: :-webkit-scrollbar-thumb: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 7 8' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h6M0 2h6M0 4h6M0 6h6'/%3E%3Cpath stroke='%23bad1fc' d='M6 0h1M6 2h1M6 4h1'/%3E%3Cpath stroke='%23c8d6fb' d='M0 1h1M0 3h1M0 5h1M0 7h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h6M1 3h6M1 5h6M1 7h6'/%3E%3Cpath stroke='%23bad3fc' d='M6 6h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb: horizontal{
				background-size: 8px;background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 8 7' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h1m1 0h1m1 0h1m1 0h1M0 1h1m1 0h1m1 0h1m1 0h1M0 2h1m1 0h1m1 0h1m1 0h1M0 3h1m1 0h1m1 0h1m1 0h1M0 4h1m1 0h1m1 0h1m1 0h1M0 5h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23c8d6fb' d='M1 0h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h1m1 0h1m1 0h1m1 0h1M1 2h1m1 0h1m1 0h1m1 0h1M1 3h1m1 0h1m1 0h1m1 0h1M1 4h1m1 0h1m1 0h1m1 0h1M1 5h1m1 0h1m1 0h1m1 0h1M1 6h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23bad1fc' d='M0 6h1m1 0h1'/%3E%3Cpath stroke='%23bad3fc' d='M4 6h1m1 0h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				height: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 8h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 1h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 1h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 1h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 1h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 1h1'/%3E%3Cpath stroke='%23e1eafe' d='M3 2h1'/%3E%3Cpath stroke='%23dae6fe' d='M4 2h1M3 3h1'/%3E%3Cpath stroke='%23d4e1fc' d='M5 2h1M3 4h1'/%3E%3Cpath stroke='%23d1e0fd' d='M6 2h1M4 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M7 2h1M3 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M8 2h1M6 3h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 2h1M7 3h1M5 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 2h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 2h1m-8 8h1m1 0h1'/%3E%3Cpath stroke='%23c2d3fc' d='M12 2h1m-2 1h1m-9 7h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 2h1m-1 2h1m-9 9h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 2h1M5 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 2h1'/%3E%3Cpath stroke='%23d8e3fc' d='M4 3h1'/%3E%3Cpath stroke='%23d1defd' d='M5 3h1'/%3E%3Cpath stroke='%23c9d8fc' d='M8 3h1M6 4h2M5 6h2M3 7h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 3h1M3 9h1m3 0h1'/%3E%3Cpath stroke='%23c5d3fc' d='M10 3h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 3h1M9 4h1m-7 7h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 3h1'/%3E%3Cpath stroke='%23baccf4' d='M14 3h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 3h1'/%3E%3Cpath stroke='%23c4d4f7' d='M2 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M5 4h1M3 6h1'/%3E%3Cpath stroke='%23c8d5fb' d='M8 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 4h3M9 5h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 4h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 4h1'/%3E%3Cpath stroke='%23bed0f8' d='M2 5h1'/%3E%3Cpath stroke='%23ceddfd' d='M4 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M6 5h2M3 8h2'/%3E%3Cpath stroke='%234d6185' d='M8 5h1M7 6h3M6 7h5M5 8h3m1 0h3M4 9h3m3 0h3m-8 1h1m5 0h1'/%3E%3Cpath stroke='%23bacdfc' d='M10 5h1m1 0h2M3 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1m-2 1h1m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 5h1'/%3E%3Cpath stroke='%23cddafc' d='M4 6h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 6h1m0 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 6h1'/%3E%3Cpath stroke='%23cad8fd' d='M4 7h2'/%3E%3Cpath stroke='%23b6cefb' d='M11 7h1m0 1h1'/%3E%3Cpath stroke='%23bacbf4' d='M14 7h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 7h1m-1 1h1m-1 5h1'/%3E%3Cpath stroke='%23c1d3fb' d='M8 8h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 8h1m-5 5h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 8h1'/%3E%3Cpath stroke='%23b4c8f6' d='M2 9h1'/%3E%3Cpath stroke='%23c2d5fc' d='M8 9h1m-1 1h1m-3 1h2'/%3E%3Cpath stroke='%23bdd3fb' d='M9 9h1m-2 3h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 9h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 9h1'/%3E%3Cpath stroke='%239fb5d2' d='M16 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c7f6' d='M2 10h1'/%3E%3Cpath stroke='%23c3d5fd' d='M7 10h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 10h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h1m1 0h1m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' d='M2 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M5 11h1'/%3E%3Cpath stroke='%23c1d5fb' d='M8 11h1'/%3E%3Cpath stroke='%23b7d3fc' d='M10 11h1m-2 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 11h1'/%3E%3Cpath stroke='%23afcefb' d='M12 11h1'/%3E%3Cpath stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M2 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M5 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M6 12h2'/%3E%3Cpath stroke='%23b6d1fb' d='M10 12h1'/%3E%3Cpath stroke='%23afccfb' d='M12 12h1'/%3E%3Cpath stroke='%23adc9f9' d='M13 12h1m-2 1h1'/%3E%3Cpath stroke='%23b1c5f3' d='M14 12h1'/%3E%3Cpath stroke='%23aac0f3' d='M2 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M3 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M4 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M7 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M8 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 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			: :-webkit-scrollbar-button: vertical: end{
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			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 17px;
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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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			}
			
			.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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 298 feature_id 4 batch_size 4479 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.31494333089888094 subsets 51",
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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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3616 feature_id 7 batch_size 2860 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.24957371510565282 subsets 5",
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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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1510 feature_id 7 batch_size 4096 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.6324001216422767 subsets 2",
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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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4910 feature_id 4 batch_size 3255 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.8067984506618232 subsets 54",
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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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1308 feature_id 2 batch_size 376 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.8518844428956509 subsets 90",
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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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4782 feature_id 1 batch_size 1955 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.706734150737524 subsets 44",
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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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 12 feature_id 1 batch_size 777 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.16940748110227286 subsets 41",
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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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 396 feature_id 3 batch_size 4670 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.5956825835910712 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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1414 feature_id 3 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) 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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1967 feature_id 3 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) 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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 726 feature_id 3 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 83",
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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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2685 feature_id 3 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) 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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) 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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2598 feature_id 3 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) 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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2694 feature_id 3 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) 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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2705 feature_id 3 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) 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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2039 feature_id 3 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) 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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2691 feature_id 3 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) 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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3256 feature_id 3 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2667 feature_id 3 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) 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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1808 feature_id 3 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) 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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) 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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2620 feature_id 3 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        2620,
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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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1842 feature_id 3 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) 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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2703 feature_id 3 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
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			        13,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        5000,
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			        13,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2705 feature_id 3 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
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			        13,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        5000,
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			        13,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1848 feature_id 3 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        1848,
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			        13,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2710 feature_id 3 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        2710,
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			        13,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        1,
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			        14,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2705 feature_id 3 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        2705,
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			        14,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        1,
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			        13,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2701 feature_id 3 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        2701,
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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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4929 feature_id 3 batch_size 209 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.9901734665521071 subsets 34",
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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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2078 feature_id 3 batch_size 181 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 61",
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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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2473 feature_id 3 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) 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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1991 feature_id 3 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 62",
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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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
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			        20,
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			        20,
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			    [
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			        20,
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			        10
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			    [
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			        20,
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			    [
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			        20,
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			        20,
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			        20,
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			        20,
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			    [
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			        20,
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			        20,
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			    [
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			        20,
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			        20,
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			    [
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			        20,
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			    [
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			        20,
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			    [
			        1745665103.0332303,
			        20,
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			    [
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			        20,
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			    [
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			        20,
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			        20,
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			    [
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			        20,
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			        5
			    ],
			    [
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			        20,
			        2,
			        10
			    ],
			    [
			        1745665527.3519802,
			        20,
			        2,
			        10
			    ],
			    [
			        1745665543.75861,
			        20,
			        1,
			        5
			    ],
			    [
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			        20,
			        1,
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			    [
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			        20,
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			    [
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			        20,
			        1,
			        5
			    ],
			    [
			        1745666016.6618552,
			        20,
			        2,
			        10
			    ],
			    [
			        1745666017.189367,
			        20,
			        2,
			        10
			    ],
			    [
			        1745666034.6330826,
			        20,
			        1,
			        5
			    ],
			    [
			        1745666034.9106207,
			        20,
			        1,
			        5
			    ],
			    [
			        1745666450.561835,
			        20,
			        1,
			        5
			    ],
			    [
			        1745666450.9975352,
			        20,
			        1,
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			    ],
			    [
			        1745666452.3884685,
			        20,
			        2,
			        10
			    ],
			    [
			        1745666452.8835537,
			        20,
			        2,
			        10
			    ],
			    [
			        1745666468.2566369,
			        20,
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			    ],
			    [
			        1745666468.511638,
			        20,
			        1,
			        5
			    ]
			];
			var tab_main_worker_cpu_ram_csv_json = [
			    [
			        1745405897,
			        647.69140625,
			        43
			    ],
			    [
			        1745405897,
			        647.6953125,
			        41.2
			    ],
			    [
			        1745405897,
			        647.75390625,
			        39.7
			    ],
			    [
			        1745405897,
			        647.75390625,
			        40.8
			    ],
			    [
			        1745405897,
			        647.75390625,
			        46.5
			    ],
			    [
			        1745405897,
			        647.75390625,
			        39.8
			    ],
			    [
			        1745405897,
			        647.75390625,
			        42.2
			    ],
			    [
			        1745406536,
			        699.63671875,
			        45.5
			    ],
			    [
			        1745406536,
			        699.63671875,
			        34.3
			    ],
			    [
			        1745406536,
			        699.63671875,
			        40.8
			    ],
			    [
			        1745406536,
			        699.63671875,
			        41
			    ],
			    [
			        1745415208,
			        955.88671875,
			        26
			    ],
			    [
			        1745415208,
			        955.88671875,
			        9.6
			    ],
			    [
			        1745415208,
			        955.88671875,
			        9.1
			    ],
			    [
			        1745415208,
			        955.88671875,
			        12.8
			    ],
			    [
			        1745422678,
			        946.3984375,
			        11
			    ],
			    [
			        1745422678,
			        946.3984375,
			        10.1
			    ],
			    [
			        1745422679,
			        946.3984375,
			        9.9
			    ],
			    [
			        1745422679,
			        946.3984375,
			        5.9
			    ],
			    [
			        1745430178,
			        986.390625,
			        11.4
			    ],
			    [
			        1745430178,
			        986.390625,
			        10.7
			    ],
			    [
			        1745430178,
			        986.390625,
			        10.6
			    ],
			    [
			        1745430178,
			        986.390625,
			        10.4
			    ],
			    [
			        1745439520,
			        993.74609375,
			        11.6
			    ],
			    [
			        1745439520,
			        993.74609375,
			        10.5
			    ],
			    [
			        1745439520,
			        993.74609375,
			        10.5
			    ],
			    [
			        1745439520,
			        993.74609375,
			        11.6
			    ],
			    [
			        1745451960,
			        1014.05859375,
			        11.7
			    ],
			    [
			        1745451960,
			        1014.05859375,
			        11.7
			    ],
			    [
			        1745451960,
			        1014.05859375,
			        11.3
			    ],
			    [
			        1745451960,
			        1014.05859375,
			        12.7
			    ],
			    [
			        1745464972,
			        1025.49609375,
			        11.7
			    ],
			    [
			        1745464972,
			        1025.49609375,
			        12.3
			    ],
			    [
			        1745464972,
			        1025.49609375,
			        12.2
			    ],
			    [
			        1745464972,
			        1025.49609375,
			        11.6
			    ],
			    [
			        1745477715,
			        1026.890625,
			        11.8
			    ],
			    [
			        1745477715,
			        1026.890625,
			        11.1
			    ],
			    [
			        1745477715,
			        1026.890625,
			        10.9
			    ],
			    [
			        1745477715,
			        1026.890625,
			        13.5
			    ],
			    [
			        1745487130,
			        1041.91015625,
			        11.5
			    ],
			    [
			        1745487130,
			        1041.91015625,
			        10.5
			    ],
			    [
			        1745487130,
			        1041.91015625,
			        10.7
			    ],
			    [
			        1745487130,
			        1041.91015625,
			        13.3
			    ],
			    [
			        1745492798,
			        1086.78515625,
			        10.7
			    ],
			    [
			        1745492798,
			        1086.78515625,
			        10.5
			    ],
			    [
			        1745492798,
			        1086.78515625,
			        10.7
			    ],
			    [
			        1745492798,
			        1086.78515625,
			        13.1
			    ],
			    [
			        1745498159,
			        1074.90234375,
			        11.2
			    ],
			    [
			        1745498159,
			        1074.90234375,
			        10.3
			    ],
			    [
			        1745498159,
			        1074.90234375,
			        10.4
			    ],
			    [
			        1745498159,
			        1074.90234375,
			        9.6
			    ],
			    [
			        1745510487,
			        1112.73828125,
			        11.6
			    ],
			    [
			        1745510487,
			        1112.73828125,
			        10.6
			    ],
			    [
			        1745510487,
			        1112.73828125,
			        11.4
			    ],
			    [
			        1745510487,
			        1112.73828125,
			        13.2
			    ],
			    [
			        1745526375,
			        1050.90234375,
			        11.8
			    ],
			    [
			        1745526375,
			        1050.90234375,
			        11.5
			    ],
			    [
			        1745526375,
			        1050.90234375,
			        11.5
			    ],
			    [
			        1745526375,
			        1050.90234375,
			        10.6
			    ],
			    [
			        1745543531,
			        1098.75390625,
			        11.8
			    ],
			    [
			        1745543531,
			        1098.75390625,
			        11.5
			    ],
			    [
			        1745543531,
			        1098.75390625,
			        11.6
			    ],
			    [
			        1745543531,
			        1098.75390625,
			        10.9
			    ],
			    [
			        1745548512,
			        1062.25,
			        11.5
			    ],
			    [
			        1745548512,
			        1062.25,
			        12.2
			    ],
			    [
			        1745548512,
			        1062.25,
			        12.2
			    ],
			    [
			        1745548512,
			        1062.25,
			        9.1
			    ],
			    [
			        1745557636,
			        1093.125,
			        11.9
			    ],
			    [
			        1745557636,
			        1093.125,
			        12
			    ],
			    [
			        1745557637,
			        1093.125,
			        11.7
			    ],
			    [
			        1745557637,
			        1093.125,
			        13
			    ],
			    [
			        1745571764,
			        1168.18359375,
			        11.8
			    ],
			    [
			        1745571764,
			        1168.18359375,
			        10.7
			    ],
			    [
			        1745571764,
			        1168.18359375,
			        10.7
			    ],
			    [
			        1745571764,
			        1168.18359375,
			        10.8
			    ],
			    [
			        1745583639,
			        1151.4765625,
			        11.7
			    ],
			    [
			        1745583639,
			        1151.4765625,
			        11.1
			    ],
			    [
			        1745583639,
			        1151.4765625,
			        10.9
			    ],
			    [
			        1745583639,
			        1151.4765625,
			        15
			    ],
			    [
			        1745605180,
			        1121.66015625,
			        11.9
			    ],
			    [
			        1745605180,
			        1121.66015625,
			        11.1
			    ],
			    [
			        1745605180,
			        1121.66015625,
			        11.3
			    ],
			    [
			        1745605180,
			        1121.66015625,
			        5.7
			    ],
			    [
			        1745616830,
			        1157.625,
			        11.6
			    ],
			    [
			        1745616830,
			        1157.625,
			        11.8
			    ],
			    [
			        1745616830,
			        1157.625,
			        11.8
			    ],
			    [
			        1745616830,
			        1157.625,
			        12.5
			    ],
			    [
			        1745624994,
			        1159,
			        12
			    ],
			    [
			        1745624994,
			        1159,
			        11.3
			    ],
			    [
			        1745624994,
			        1159,
			        11
			    ],
			    [
			        1745624994,
			        1159,
			        5.7
			    ],
			    [
			        1745632267,
			        1159.36328125,
			        11.6
			    ],
			    [
			        1745632267,
			        1159.36328125,
			        11.2
			    ],
			    [
			        1745632267,
			        1159.36328125,
			        11.5
			    ],
			    [
			        1745632267,
			        1159.36328125,
			        8.6
			    ],
			    [
			        1745639885,
			        1237.078125,
			        12.1
			    ],
			    [
			        1745639885,
			        1237.078125,
			        11.9
			    ],
			    [
			        1745639885,
			        1237.078125,
			        11.6
			    ],
			    [
			        1745639885,
			        1237.078125,
			        12
			    ],
			    [
			        1745648525,
			        1217.78125,
			        11.7
			    ],
			    [
			        1745648525,
			        1217.78125,
			        10.1
			    ],
			    [
			        1745648525,
			        1217.78125,
			        10.7
			    ],
			    [
			        1745648525,
			        1217.78125,
			        13.3
			    ],
			    [
			        1745657104,
			        1207.49609375,
			        11.9
			    ],
			    [
			        1745657104,
			        1207.49609375,
			        11
			    ],
			    [
			        1745657104,
			        1207.49609375,
			        11.1
			    ],
			    [
			        1745657104,
			        1207.49609375,
			        12.5
			    ],
			    [
			        1745666478,
			        1226.0078125,
			        11.8
			    ],
			    [
			        1745666478,
			        1226.0078125,
			        11.3
			    ],
			    [
			        1745666478,
			        1226.0078125,
			        10.2
			    ],
			    [
			        1745666478,
			        1226.0078125,
			        9.8
			    ]
			];
			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>50462 </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>462   </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>7</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>283</td>
			<td>748</td>
			<td>2</td>
			<td>1033</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_0,0.680000000000000048849813083507,13.000000000000000000000000000000,1837,4,4746,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.159334658950567253921093424651,72
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,14.000000000000000000000000000000,3633,2,2358,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.560825864488258996054526051012,46
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,10.000000000000000000000000000000,3836,6,3738,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.356555293766781689068778860019,5
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,14.000000000000000000000000000000,633,0,1039,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.984189657384529681394269573502,80
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,12.000000000000000000000000000000,405,7,1595,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.384483334872871618248524328010,14
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.660000000000000031086244689504,13.000000000000000000000000000000,4703,1,4295,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.770354876138269917262846320227,89
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,26.000000000000000000000000000000,2790,5,551,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.071040536735206841201240024475,61
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.690000000000000057731597280508,11.000000000000000000000000000000,2088,3,2939,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.714175165273249201725036527932,37
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,12.000000000000000000000000000000,2277,6,213,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.440124958148226164134086957347,25
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,24.000000000000000000000000000000,2824,0,2513,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.841646600710228121045020088786,100
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,4667,4,1396,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.012895087828859685269433654753,51
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,16.000000000000000000000000000000,214,2,4008,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.640498980032280118557252990286,26
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,14.000000000000000000000000000000,1215,5,3315,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.228679085966199624468941919986,67
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.690000000000000057731597280508,10.000000000000000000000000000000,4262,3,703,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.614520155817270263831630927598,41
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,12.000000000000000000000000000000,3210,7,4457,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.288724874254316088428851116987,10
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.670000000000000039968028886506,19.000000000000000000000000000000,1257,1,2156,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.931889944463968222798655460792,84
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,12.000000000000000000000000000000,1518,7,2749,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.518238508710637701959456080658,13
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,61.000000000000000000000000000000,3315,1,137,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.140041938198730342435283091618,88
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,17.000000000000000000000000000000,4216,5,3773,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.963984053621068648354253127764,64
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.690000000000000057731597280508,9.000000000000000000000000000000,1013,3,1474,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.312931597603484989988942288619,38
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,11.000000000000000000000000000000,138,4,936,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.805761968068778533513807360578,54
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,14.000000000000000000000000000000,4435,2,3237,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.411946161765605223248343236264,29
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,14.000000000000000000000000000000,3075,6,1924,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.740845036439597648403321272781,22
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,2372,0,4536,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.105291365642100578914330810676,97
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,2017,5,2279,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.860924112709239075513778516324,59
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.690000000000000057731597280508,9.000000000000000000000000000000,2563,3,4979,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.482757983868941642491279253591,34
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,4949,7,1118,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.684168375881388790560322377132,17
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.660000000000000031086244689504,13.000000000000000000000000000000,496,1,3506,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.033085448449477555810105400269,92
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,19.000000000000000000000000000000,889,6,4219,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.587103028610348687266196066048,2
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,12.000000000000000000000000000000,3937,0,1831,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.193256750892847772860250188387,77
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,3300,3,3473,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,11
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,4515,3,3905,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.294888450275804681055547007418,34
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,4593,3,3164,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1994,7,3512,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,18
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,225,3,2076,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.451763076063219137790127888366,59
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,30.000000000000000000000000000000,1373,2,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,23
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,5000,3,3098,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,261,3,794,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,42
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,410,3,1462,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.611132172065002698957414395409,49
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,3059,3,3865,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,54
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,28.000000000000000000000000000000,3107,2,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,716,2,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.525581887742896047832630301855,1
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,4996,3,3356,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,99
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,191,6,1454,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.475544227279242448513940644261,47
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,3753,2,3494,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.128815159820314106831062872516,21
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,649,3,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,61
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,5000,3,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,70
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,4201,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,4621,3,3618,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,8
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,3250,4,4095,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,27
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,2309,3,425,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.016455710186332524191943349479,18
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,2946,2,199,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,33
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,2,2680,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,27.000000000000000000000000000000,1153,3,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.498278218049951426849020208465,1
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3138,6,3446,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,9
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,4854,3,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,31
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,201,4,1681,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.364981045722114205709374346043,50
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,3837,3,4092,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,23
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,32.000000000000000000000000000000,1043,0,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.887100482582388383256954966782,6
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,1927,5,2388,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,5000,3,519,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,26
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1,3,518,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,25
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,224,3,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,13
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,5000,3,3763,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,273,3,4773,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,34
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,2701,3,557,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,26
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,5000,3,1296,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,55
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,689,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,226,3,529,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,30
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,4539,3,4344,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,39
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,4571,3,627,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,30
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,33.000000000000000000000000000000,5000,3,1402,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,677,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,5000,3,529,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,20
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,5000,3,543,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,3296,3,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,44
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,22.000000000000000000000000000000,5000,3,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,19.000000000000000000000000000000,960,3,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,92
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,5000,3,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,5
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,3812,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,84,3,4487,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,36
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,3570,3,3771,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,88
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,3753,3,3643,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,3695,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,16
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1147,3,3716,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,93
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,333,3,582,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,22
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,488,3,1492,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,15
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,15.000000000000000000000000000000,1232,3,1289,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,54
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1433,3,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,914,3,976,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.424989046320954688695792356157,16
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,4910,3,3677,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.508149650608748504332368156611,1
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,5000,3,4541,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.424036999357509380992325986881,36
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,1035,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,17
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,4567,3,4496,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.389034658482816209090771053525,53
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,1000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.325395943840634249699661495470,15
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,761,3,1044,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.397524207847247568192727840142,15
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,927,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,18
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,918,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,18
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,203,3,4172,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.522395626324032691378818071826,1
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,326,3,4358,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.860375489860791042850962639932,32
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,4918,3,3588,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.448802791499229858374064860982,1
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,4987,3,4851,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.095860476441774630784742328160,20
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,1289,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,2279,3,4388,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.441175184675830056590939420857,71
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,4475,3,4515,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.363076962071455178193701840428,53
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,5000,3,2848,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,62
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,1134,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.038737994876373985086992490778,3
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,5000,3,4752,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.774624496392227968044608132914,1
109,109_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,15
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,4769,3,884,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.509292441049001953778940787743,28
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,316,3,4969,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.620315004952797899306915496709,1
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,1,3,3784,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.340701382547946629575363886033,100
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1,3,3722,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,5000,3,3925,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.444367059348405868401954421643,16
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,2018,3,1509,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.542163461169180349585872136231,1
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,470,3,963,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,18
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,210,3,998,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.478046967039550130262881566523,12
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,2853,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,54
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,1036,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,12
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,3536,3,4163,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,64
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,2372,3,4150,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.525596712102726626447690705390,63
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,4884,3,1629,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,37
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,15.000000000000000000000000000000,5000,3,1542,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,32
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,114,3,1626,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.436305871536933675969294199604,35
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,4161,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,69
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,3421,3,1769,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,43
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,2923,3,4309,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,49
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1061,3,1647,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.623933793227982258500219359121,32
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,4564,3,2925,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,65
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,351,3,4252,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.362817084196181194322150531661,56
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,4942,3,4389,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.299106874623438379057205338540,59
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,3162,3,4339,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.553782680542246996679978110478,49
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,4436,3,4123,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,85
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,1046,3,1734,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,39
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,4147,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,62
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,4906,3,2409,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,41
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,2736,3,1709,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.541228886048272683773063818080,41
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,4817,3,1397,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.371374060261457417109198786420,28
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,4952,3,4218,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,55
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1897,3,4307,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.555050550014539290089032874675,48
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,12.000000000000000000000000000000,1,3,1586,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,28.000000000000000000000000000000,700,3,3157,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,2673,3,4221,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,49
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,51,3,3919,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.576458514198425753249921399402,1
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,4898,3,1652,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.658464997896245796127345784043,34
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,853,3,3041,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.862050745823930819611291553883,63
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,4721,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,47
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,630,3,4165,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.540129129924892481540155131370,59
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,1913,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,54
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,20.000000000000000000000000000000,1,3,2026,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,60
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,363,3,2338,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,1044,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,14
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,144,3,1633,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,57
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,973,3,2034,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,52
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,15.000000000000000000000000000000,4046,3,1833,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,62
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,2054,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,47
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1753,3,1871,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,55
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,1132,3,1989,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,59
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1,3,2045,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,64
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,1108,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,68
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,1,3,1294,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,58
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,17.000000000000000000000000000000,1,3,2022,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,64
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,2100,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,62
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,1,3,4016,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,1392.000000000000000000000000000000,1,3,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,49
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,2160,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,55
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,1,3,3236,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,27
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,439,3,2017,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,51
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1864,3,1517,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,86
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,821,3,1690,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,54
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,4412,3,1811,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,15.000000000000000000000000000000,4399,3,2107,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,59
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,15.000000000000000000000000000000,1,3,2004,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,72
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,4712,3,2066,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,54
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,582,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,19
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,721,3,495,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,63
178,178_0,FAILED,BoTorch,GenerationStep_1,,,2582,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,1,3,1601,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,57
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,17.000000000000000000000000000000,1,3,349,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,1,3,2737,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,44.000000000000000000000000000000,4975,3,1019,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,1,3,364,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,2173,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,17.000000000000000000000000000000,1,3,2759,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,1,3,349,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,17.000000000000000000000000000000,644,3,1088,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,5000,3,3052,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,39.000000000000000000000000000000,2394,3,1018,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,1,3,1103,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,4424,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,1,3,363,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,2245,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,1,3,1770,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,37.000000000000000000000000000000,2436,3,1025,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,5000,3,1017,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,3068,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,1,3,372,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,1,3,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,1,3,2669,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,2065,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,24.000000000000000000000000000000,5000,3,4761,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,36.000000000000000000000000000000,1,3,1027,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,5000,3,341,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,1,3,354,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,1,3,1094,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,2342,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,5000,3,2216,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1860,3,4814,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,2675,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
211,211_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,1402,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,4814,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,21.000000000000000000000000000000,1,3,2989,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,966,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,20
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,3854,3,2595,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,2297,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
218,218_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,3941,3,2450,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,21.000000000000000000000000000000,4877,3,3063,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,983,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,26
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,22.000000000000000000000000000000,3983,3,4165,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,15.000000000000000000000000000000,1,3,3509,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,925,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
225,225_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,3
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,21.000000000000000000000000000000,1297,3,2636,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,338,3,970,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,22
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1849,3,4815,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,4234,3,3658,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,46
230,230_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,1401,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,995,3,3170,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,27
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1,3,2344,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,21.000000000000000000000000000000,1,3,4181,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1,3,2640,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,66
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,4829,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,40
237,237_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,5000,3,2279,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,682,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
239,239_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,6
240,211_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
241,218_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,14.000000000000000000000000000000,3733,3,865,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,3208,3,3004,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
244,244_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,457,3,4012,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,63
246,230_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,256,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,1,3,879,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,39
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,2128,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,18.000000000000000000000000000000,942,3,59,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
251,251_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,18.000000000000000000000000000000,1,3,99,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,2289,3,4007,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,61
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,3406,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,18
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,3008,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
256,256_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,4398,3,2651,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,3066,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,33
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,17.000000000000000000000000000000,1,3,45,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,137,3,3996,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,64
261,261_0,FAILED,BoTorch,GenerationStep_1,,,2912,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,19
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,31,3,784,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,26
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,14.000000000000000000000000000000,2483,3,3524,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,46
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,65.000000000000000000000000000000,1,3,1015,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,2659,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,13.000000000000000000000000000000,1572,3,857,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,27
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,259,3,4006,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,64
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,11.000000000000000000000000000000,3417,3,72,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,9
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,2759,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,42
270,270_0,FAILED,BoTorch,GenerationStep_1,,,2749,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
271,271_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
272,244_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
273,273_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
274,274_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
275,275_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
276,211_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,25.000000000000000000000000000000,5000,3,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,10.000000000000000000000000000000,2942,3,159,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,20
279,279_0,FAILED,BoTorch,GenerationStep_1,,,3814,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,27
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,25.000000000000000000000000000000,1,3,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,4346,3,399,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,24.000000000000000000000000000000,1,3,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
283,256_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,355,3,301,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,54
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,10.000000000000000000000000000000,962,3,345,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
286,286_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,24.000000000000000000000000000000,5000,3,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,10.000000000000000000000000000000,1062,3,250,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1522,3,296,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,2791,3,326,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,45
292,292_0,FAILED,BoTorch,GenerationStep_1,,,2669,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,21
293,293_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,24.000000000000000000000000000000,5000,3,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,4507,3,429,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,4854,3,424,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,10.000000000000000000000000000000,3782,3,439,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,398,3,230,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,22
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,4110,3,212,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,21
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,1938,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1454,3,978,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,22
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,10.000000000000000000000000000000,5000,3,273,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,3562,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1296,3,367,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1449,3,153,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,5000,3,949,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,5000,3,3975,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,4482,3,981,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,22
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,12.000000000000000000000000000000,33,3,117,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,11
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,4759,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,58
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,937,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,4474,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,45
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,181,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
314,314_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,3600,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,35
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,1050,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,3818,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,5000,3,4869,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,89
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1,3,979,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,22
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,14.000000000000000000000000000000,3501,3,55,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,3
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1,3,187,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,10.000000000000000000000000000000,5000,3,323,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,1316,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,5000,3,3820,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1673,3,4523,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,42
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,4330,3,373,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,45
326,326_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,14
327,327_0,FAILED,BoTorch,GenerationStep_1,,,3480,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,26
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,2545,3,1485,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,36
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,4296,3,440,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,17
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,2504,3,279,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,23
331,331_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,468,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,73
332,332_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,369,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,68
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,3207,3,200,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,20
334,334_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,3909,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,668,3,3351,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
336,336_0,FAILED,BoTorch,GenerationStep_1,,,4990,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,23
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,11.000000000000000000000000000000,605,3,92,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,20
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,631,3,2658,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,40
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,2121,3,553,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,60
340,340_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,5000,3,3376,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,24
341,341_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,5000,3,3852,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,5000,3,3409,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,26
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,5000,3,241,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1,3,3349,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,5
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,229,3,3785,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,41
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,3885,3,217,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,20
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1488,3,1545,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,468,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,71
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,996,3,4907,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,44
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,4556,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,29
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,5000,3,4175,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,37
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,12.000000000000000000000000000000,2517,3,136,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,21
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,23.000000000000000000000000000000,1514,3,1485,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,4733,3,315,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,13.000000000000000000000000000000,1039,3,123,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,21
356,356_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,2582,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,37
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,3126,3,735,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,15
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,4685,3,4744,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,32
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,4518,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,32
360,360_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,9.000000000000000000000000000000,5000,3,2700,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,38
361,361_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,22
362,362_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,307,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,72
363,363_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,3461,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,29
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,315,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
365,365_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,2506,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
366,366_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,17
367,367_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,2943,3,272,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,31
368,368_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,11.000000000000000000000000000000,1520,3,118,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,19
369,369_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,3308,3,37,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,19
370,370_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,5000,3,225,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
371,371_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,9.000000000000000000000000000000,5000,3,247,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
372,372_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,3555,3,670,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
373,373_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,3248,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34
374,374_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,10.000000000000000000000000000000,1800,3,329,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,28
375,375_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,10.000000000000000000000000000000,1,3,470,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
376,376_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,4615,3,64,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,20
377,377_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,794,3,2095,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,15
378,378_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,3693,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,4453,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,5000,3,2929,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,205,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,75
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,5000,3,611,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,57
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,5000,3,3756,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
384,384_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,3265,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,5000,3,4328,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,40
386,386_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,3703,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
387,387_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,19
388,388_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,3279,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
389,389_0,FAILED,BoTorch,GenerationStep_1,,,1956,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,16
390,390_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,4337,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,40
391,391_0,FAILED,BoTorch,GenerationStep_1,,,806,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,10
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,3060,3,2346,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,51
393,393_0,FAILED,BoTorch,GenerationStep_1,,,1497,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,19
394,394_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,17.000000000000000000000000000000,4539,3,4858,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,2012,3,968,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,17
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,3088,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
397,397_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,4769,3,4481,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,31
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,2788,3,19,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
399,399_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,3958,3,1586,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,1376,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,33
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,11.000000000000000000000000000000,1952,3,27,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,302,3,254,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,10.000000000000000000000000000000,523,3,355,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,73
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,4840,3,580,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,34
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,4893,3,4456,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,1977,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,3323,3,464,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,78
408,408_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,2476,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,31
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,2092,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
410,410_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,5000,3,2638,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,41
411,411_0,FAILED,BoTorch,GenerationStep_1,,,2583,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,4691,3,192,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
413,256_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
414,414_0,FAILED,BoTorch,GenerationStep_1,,,1725,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,27
415,415_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,12
416,416_0,FAILED,BoTorch,GenerationStep_1,,,1265,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,13
417,417_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,3032,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,4859,3,326,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,70
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,442,3,4124,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,37
420,420_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,3306,3,4120,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
421,421_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,4242,3,4630,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
422,422_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14
423,423_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,21
424,424_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,1967,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
425,425_0,FAILED,BoTorch,GenerationStep_1,,,2244,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24
426,426_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,5000,3,203,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
427,427_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,185,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
428,428_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,23
429,429_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,4657,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
430,430_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,5000,3,73,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
431,431_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,26
432,432_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,12.000000000000000000000000000000,5000,3,1982,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
433,433_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,205,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
434,434_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
435,435_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,3616,3,4314,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
436,436_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,128,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
437,437_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,3409,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,47
438,438_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,5000,3,3452,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,53
439,439_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,5
440,440_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1,3,193,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
441,441_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1,3,48,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
442,442_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,4011,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,79
443,443_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,631,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,20
444,444_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,14.000000000000000000000000000000,2466,3,31,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,20
445,445_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,14.000000000000000000000000000000,3811,3,3430,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
446,446_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,120,3,3250,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,39
447,447_0,FAILED,BoTorch,GenerationStep_1,,,3430,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,25
448,448_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,2324,3,3312,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
449,449_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,4031,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
450,450_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,15.000000000000000000000000000000,439,3,3804,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
451,451_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,3014,3,2142,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,23
452,452_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,336,3,1318,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,25
453,453_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,383,3,965,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,5
454,454_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,4924,3,4471,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
455,455_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,4638,3,4161,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
456,456_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,4621,3,4522,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,30
457,457_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,5000,3,3863,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
458,458_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,119,3,3896,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
459,459_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,1681,3,3425,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
460,460_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,2902,3,4466,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,20
461,461_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,3391,3,2011,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
462,462_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,15.000000000000000000000000000000,5000,3,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
463,463_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,3669,3,4332,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,37
464,464_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,3747,3,4172,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,37
465,465_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,4561,3,4200,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
466,466_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,3200,3,2672,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,39
467,467_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,2353,3,4518,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
468,468_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,4386,3,3435,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,14
469,469_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,86,3,4553,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,32
470,470_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,4131,3,4178,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,25
471,471_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,16.000000000000000000000000000000,1,3,3701,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
472,472_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,3175,3,2728,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,28
473,473_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,60,3,2393,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
474,474_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,17.000000000000000000000000000000,323,3,3816,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
475,475_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,2231,3,4873,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
476,476_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,11.000000000000000000000000000000,395,3,1319,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,11
477,477_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,4170,3,4308,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
478,478_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,3692,3,1993,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,21
479,479_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,3532,3,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,41
480,480_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,2193,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
481,481_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,5000,3,2259,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
482,482_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,4938,3,2381,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,75
483,483_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,3072,3,1473,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,40
484,484_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,4437,3,2115,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,27
485,485_0,COMPLETED,BoTorch,GenerationStep_1,0.700000000000000066613381477509,9.000000000000000000000000000000,1,3,2325,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
486,486_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,2081,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,31
487,487_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,1,3,2269,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,50
488,488_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,5000,3,4434,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,90
489,489_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,12.000000000000000000000000000000,2304,3,2421,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,49
490,490_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,5000,3,1297,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
491,491_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,4536,3,1914,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
492,492_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,4450,3,1206,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
493,493_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,3879,3,1740,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
494,494_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,234,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
495,495_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,5000,3,3203,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
496,496_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,4756,3,1221,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
497,497_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,2510,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,69
498,498_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,5000,3,2654,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,42
499,499_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,25.000000000000000000000000000000,1,3,3531,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
500,500_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,1,3,4606,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
501,501_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1955,3,4145,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,39
502,502_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,5000,3,3072,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
503,503_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,5000,3,4523,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
504,504_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,10.000000000000000000000000000000,533,3,1479,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,46
505,505_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,5000,3,1230,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
506,506_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1,3,1221,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
507,507_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,11.000000000000000000000000000000,1,3,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
508,508_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,9.000000000000000000000000000000,1,3,4850,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
509,509_0,COMPLETED,BoTorch,GenerationStep_1,0.690000000000000057731597280508,8.000000000000000000000000000000,5000,3,4022,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
510,510_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,15.000000000000000000000000000000,1599,5,2735,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.298128530800342572693040210652,60
511,511_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,21.000000000000000000000000000000,3324,0,208,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.662636007105931623684114128991,48
512,512_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,12.000000000000000000000000000000,4531,6,4939,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.139202133974060421328644565619,12
513,513_0,COMPLETED,Sobol,SOBOL,0.689999999999999946709294817992,13.000000000000000000000000000000,548,3,2453,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.776593088662251851417295256397,96
514,514_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,16.000000000000000000000000000000,996,7,1003,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.037262657007202507064569374506,17
515,515_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,25.000000000000000000000000000000,3927,2,3477,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.924156466996297276672578391299,78
516,516_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,22.000000000000000000000000000000,2596,4,1338,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.398788841327652354706856385747,65
517,517_0,COMPLETED,Sobol,SOBOL,0.660000000000000031086244689504,10.000000000000000000000000000000,2485,1,3851,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.513793453967198776588531927700,31
518,518_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,14.000000000000000000000000000000,2112,6,1835,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.086723055735230453189288368776,25
519,519_0,COMPLETED,Sobol,SOBOL,0.689999999999999946709294817992,9.000000000000000000000000000000,2968,3,4311,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.938532831758260743804100911802,82
520,520_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,12.000000000000000000000000000000,4263,5,836,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.479438643589615798301650784197,71
521,521_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,13.000000000000000000000000000000,661,0,3352,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.621730415195226648883419784397,36
522,522_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,19.000000000000000000000000000000,298,4,4479,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.314943330898880935464489994047,51
523,523_0,COMPLETED,Sobol,SOBOL,0.670000000000000039968028886506,10.000000000000000000000000000000,4782,1,1955,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.706734150737523991736566131294,44
524,524_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,14.000000000000000000000000000000,3616,7,2860,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.249573715105652821355519677127,5
525,525_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,47.000000000000000000000000000000,1308,2,376,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.851884442895650906280025083106,90
526,526_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,14.000000000000000000000000000000,1510,7,4096,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.632400121642276658029402369721,2
527,527_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,41.000000000000000000000000000000,3569,2,1581,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.267892638830468043931176680417,93
528,528_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,15.000000000000000000000000000000,4910,4,3255,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.806798450661823207674672175926,54
529,529_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,11.000000000000000000000000000000,12,1,777,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.169407481102272855499890624742,41
530,530_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,15.000000000000000000000000000000,279,3,282,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,17.000000000000000000000000000000,5000,3,282,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
532,532_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,82.000000000000000000000000000000,2224,3,264,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,93
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,20.000000000000000000000000000000,1267,3,4380,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
534,534_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,10.000000000000000000000000000000,4231,3,506,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,9
535,535_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,53.000000000000000000000000000000,171,3,499,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,99
536,536_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,65.000000000000000000000000000000,3408,3,474,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
537,537_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,31.000000000000000000000000000000,1,3,1182,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
538,538_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,16.000000000000000000000000000000,674,3,263,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
539,539_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,12.000000000000000000000000000000,1079,3,638,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
540,540_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,15.000000000000000000000000000000,1504,3,652,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
541,541_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,49.000000000000000000000000000000,1360,3,681,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
542,542_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,22.000000000000000000000000000000,396,3,4670,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.595682583591071179718312578188,1
543,543_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,17.000000000000000000000000000000,3046,3,966,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.824451791185231264158517205942,1
544,544_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,27.000000000000000000000000000000,2701,3,401,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,66
545,545_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,19.000000000000000000000000000000,3609,3,224,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.711662442455171406763270169904,1
546,546_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,15.000000000000000000000000000000,2273,3,224,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
547,547_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,12.000000000000000000000000000000,371,3,407,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,22
548,548_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,17.000000000000000000000000000000,2344,3,580,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.478567812208627207937183811737,1
549,549_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,18.000000000000000000000000000000,1408,3,2525,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
550,550_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,13.000000000000000000000000000000,710,3,253,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,29
551,551_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,16.000000000000000000000000000000,697,3,253,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,30
552,552_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,15.000000000000000000000000000000,1,3,768,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
553,553_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4994,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
554,554_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,33.000000000000000000000000000000,1547,3,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,94
555,555_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1000,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,93
556,556_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,53.000000000000000000000000000000,4830,3,1074,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,89
557,557_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1471,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,74
558,558_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,15.000000000000000000000000000000,4918,3,1123,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
559,559_0,FAILED,BoTorch,BOTORCH_MODULAR,,,563,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,35
560,560_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,19.000000000000000000000000000000,1824,3,2807,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
561,561_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,26.000000000000000000000000000000,5000,3,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
562,562_0,FAILED,BoTorch,BOTORCH_MODULAR,,,262,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.618314263847316691879996142234,100
563,563_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,17.000000000000000000000000000000,583,3,2060,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
564,564_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,26.000000000000000000000000000000,1,3,3925,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
565,565_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
566,566_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,17.000000000000000000000000000000,4513,3,1792,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
567,567_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1228,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,61
568,568_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,17.000000000000000000000000000000,1,3,1774,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
569,569_0,FAILED,BoTorch,BOTORCH_MODULAR,,,822,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,55
570,570_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3945,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,55
571,571_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,25
572,572_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,15.000000000000000000000000000000,4608,3,435,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
573,573_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3249,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,26
574,574_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,28.000000000000000000000000000000,2720,3,2804,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
575,575_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,29.000000000000000000000000000000,105,3,4200,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
576,576_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,12.000000000000000000000000000000,869,3,468,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,21
577,577_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3081,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,20
578,578_0,FAILED,BoTorch,BOTORCH_MODULAR,,,413,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,62
579,579_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3299,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,9
580,580_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,5000,3,324,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
581,581_0,FAILED,BoTorch,BOTORCH_MODULAR,,,218,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,30
582,582_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,63.000000000000000000000000000000,692,3,455,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
583,583_0,FAILED,BoTorch,BOTORCH_MODULAR,,,952,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
584,584_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,95.000000000000000000000000000000,333,3,443,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.730793886467865028144785810582,100
585,585_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,39.000000000000000000000000000000,3805,3,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.703132006592594005489615938131,1
586,586_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,17.000000000000000000000000000000,4222,3,1681,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
587,587_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3357,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
588,588_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,35.000000000000000000000000000000,4941,3,1142,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.554517825757371407568996346527,100
589,589_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,13.000000000000000000000000000000,530,3,1318,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.618934822347439350664899393450,1
590,590_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,16.000000000000000000000000000000,3937,3,598,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
591,591_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,115,3,1089,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,33
592,592_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,10.000000000000000000000000000000,4825,3,240,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,40
593,593_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,2310.000000000000000000000000000000,1,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,54
594,594_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2668,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,67
595,595_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,19.000000000000000000000000000000,4598,3,2409,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
596,251_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
597,597_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3670,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,74
598,598_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4416,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,51
599,251_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
600,600_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,67
601,601_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,26.000000000000000000000000000000,2095,3,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
602,602_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,2192,3,1361,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,19
603,603_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,2672,3,710,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,43
604,604_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2560,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.312945409156277221107700370339,83
605,605_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,18.000000000000000000000000000000,87,3,3867,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,54
606,606_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,12.000000000000000000000000000000,1497,3,3522,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,56
607,607_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,22.000000000000000000000000000000,4466,3,2536,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,98
608,608_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,19.000000000000000000000000000000,4939,3,872,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,62
609,609_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,17.000000000000000000000000000000,1,3,3590,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
610,610_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,452,3,3316,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,52
611,611_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,4069,3,2831,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,50
612,612_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,20.000000000000000000000000000000,2611,3,752,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,69
613,286_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
614,614_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,137,3,889,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,44
615,615_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,28.000000000000000000000000000000,4917,3,1570,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
616,616_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
617,617_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,28.000000000000000000000000000000,5000,3,2645,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
618,618_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,23.000000000000000000000000000000,3052,3,768,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
619,619_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,4292,3,2400,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
620,620_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,17.000000000000000000000000000000,566,3,325,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,49
621,621_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,12.000000000000000000000000000000,372,3,1112,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,64
622,622_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,13.000000000000000000000000000000,1802,3,216,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.024921890295273429333233750071,17
623,623_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,15.000000000000000000000000000000,4837,3,284,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.528891923310911726829885992629,41
624,624_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1917,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,80
625,625_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4211,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.655671422662350233956374268018,47
626,626_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1440,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,37
627,627_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,2740,3,1650,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,47
628,628_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3877,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.103995246949624739474238310777,80
629,629_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,123.000000000000000000000000000000,1892,3,20,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,47
630,630_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,15.000000000000000000000000000000,1101,3,462,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,46
631,631_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,2594,3,447,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,46
632,632_0,FAILED,BoTorch,BOTORCH_MODULAR,,,729,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,85
633,633_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,12.000000000000000000000000000000,4508,3,708,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,46
634,634_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,17.000000000000000000000000000000,4651,3,897,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,46
635,635_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,26.000000000000000000000000000000,1736,3,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
636,636_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,15.000000000000000000000000000000,854,3,952,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.687210520667470903255491521122,49
637,637_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,1411,3,67,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,41
638,638_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,10.000000000000000000000000000000,1809,3,2544,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,65
639,639_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,18.000000000000000000000000000000,2678,3,1557,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.850018080188401525809638314968,89
640,640_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,23.000000000000000000000000000000,256,3,296,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.525536901305468484579819232749,41
641,641_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,16.000000000000000000000000000000,3679,3,2267,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.622521925760405547833897799137,69
642,642_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,12.000000000000000000000000000000,4730,3,573,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,29
643,643_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,346,3,2389,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,24
644,644_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,20.000000000000000000000000000000,4388,3,318,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.754300029562302021268749285809,46
645,645_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,29.000000000000000000000000000000,2375,3,737,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.173891822860019668040010287768,87
646,646_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,16.000000000000000000000000000000,977,3,118,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.077869538673892235713935860986,38
647,647_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,12.000000000000000000000000000000,1064,3,3788,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.546742430885800323459022820316,76
648,648_0,FAILED,BoTorch,BOTORCH_MODULAR,,,910,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
649,649_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,4961,3,163,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.045319281034248731776514773628,37
650,271_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
651,651_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,2820,3,706,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
652,652_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,54.000000000000000000000000000000,5000,3,629,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
653,251_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
654,654_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,2713,3,849,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,53
655,655_0,FAILED,BoTorch,BOTORCH_MODULAR,,,161,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.186421425536484136609161055276,77
656,251_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
657,271_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
658,658_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
659,659_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,60.000000000000000000000000000000,5000,3,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,45
660,660_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,1,3,1248,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,3
661,661_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,10.000000000000000000000000000000,1283,3,2592,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.597404000093931797366053615406,60
662,662_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2916,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,42
663,663_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.179863141862159708894708387561,1
664,271_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
665,665_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,4833,3,54,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.210130242584335796829364539917,16
666,658_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
667,667_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1936,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.492194778678468225496800414476,32
668,668_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,25.000000000000000000000000000000,296,3,252,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.343109647491146418918361860051,61
669,669_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,16.000000000000000000000000000000,3731,3,19,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,8
670,670_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,11.000000000000000000000000000000,5000,3,370,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,25
671,230_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
672,672_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,30.000000000000000000000000000000,519,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
673,673_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,41.000000000000000000000000000000,2955,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
674,674_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4711,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,94
675,675_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,39.000000000000000000000000000000,2827,3,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
676,658_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
677,677_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,1141.000000000000000000000000000000,976,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,47
678,678_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1570,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,20
679,679_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,46.000000000000000000000000000000,2367,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,8
680,680_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1739,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,8
681,681_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,16.000000000000000000000000000000,3313,3,310,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.013993930238051701525625603040,46
682,682_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4991,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
683,683_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,12.000000000000000000000000000000,1124,3,376,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
684,684_0,FAILED,BoTorch,BOTORCH_MODULAR,,,993,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
685,685_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,29.000000000000000000000000000000,3697,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
686,686_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4982,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
687,687_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3768,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
688,251_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
689,689_0,FAILED,BoTorch,BOTORCH_MODULAR,,,988,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
690,251_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
691,691_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1055,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
692,434_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
693,693_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4830,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
694,694_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1895,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
695,695_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3681,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.253777897471828051134679071765,1
696,696_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,19.000000000000000000000000000000,1705,3,629,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
697,251_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
698,698_0,FAILED,BoTorch,BOTORCH_MODULAR,,,942,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
699,699_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.659672522526684845800559742202,1
700,230_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
701,701_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3726,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
702,702_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,39.000000000000000000000000000000,2824,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.028560520473305737315650176811,1
703,703_0,FAILED,BoTorch,BOTORCH_MODULAR,,,966,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
704,251_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
705,705_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4968,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
706,706_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1804,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
707,707_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4941,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
708,251_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
709,709_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1080,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
710,710_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4887,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
711,711_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3722,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
712,712_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1088,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
713,713_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1720,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.966165700611119504515045264270,1
714,714_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4784,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
715,715_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4833,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
716,658_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
717,717_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1414,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
718,251_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
719,719_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1130,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
720,720_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3712,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
721,721_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4681,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
722,722_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2007,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
723,230_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
724,724_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,36.000000000000000000000000000000,4505,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
725,251_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
726,726_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1393,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
727,727_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1003,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
728,728_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3107,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
729,729_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4874,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
730,730_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,16.000000000000000000000000000000,787,3,938,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.329924565546276749028464791991,1
731,731_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4989,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.331342535213623334833243916364,1
732,732_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1141,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
733,733_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,18.000000000000000000000000000000,3258,3,370,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
734,734_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,48.000000000000000000000000000000,2368,3,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
735,735_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4987,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
736,736_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1223,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
737,737_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4977,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
738,738_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1974,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
739,251_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
740,740_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,28.000000000000000000000000000000,3194,3,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
741,741_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4948,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
742,742_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1967,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
743,743_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,951,3,889,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
744,744_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1952,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
745,745_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,15,3,285,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,43
746,746_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2948,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,44
747,747_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3196,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.506075687964794518336475448450,10
748,748_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,19.000000000000000000000000000000,739,3,590,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.013511322763942627128708195983,43
749,749_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,13.000000000000000000000000000000,158,3,344,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,41
750,750_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,3525,3,501,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.136608536966688731695285241585,42
751,751_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,795.000000000000000000000000000000,3575,3,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,40
752,752_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,16.000000000000000000000000000000,396,3,161,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.571280490140362862128142751317,37
753,753_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,15.000000000000000000000000000000,883,3,417,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.193796607314604074634445396441,46
754,754_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,23.000000000000000000000000000000,299,3,18,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.477186555720829352900125286396,1
755,755_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,2945,3,412,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,54
756,756_0,FAILED,BoTorch,BOTORCH_MODULAR,,,11,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,17
757,757_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,27.000000000000000000000000000000,2762,3,368,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,60
758,758_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,13.000000000000000000000000000000,1566,3,91,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,46
759,759_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,4340,3,194,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,9
760,760_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,22.000000000000000000000000000000,917,3,418,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,56
761,761_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,21.000000000000000000000000000000,3781,3,160,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,45
762,762_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,4116,3,237,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34
763,763_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,29.000000000000000000000000000000,4777,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.755519172101410396713561112847,1
764,764_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,76
765,765_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,55.000000000000000000000000000000,1,3,345,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,83
766,766_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2878,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,73
767,767_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2244,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,82
768,768_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,127.000000000000000000000000000000,3785,3,95,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,71
769,769_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,31.000000000000000000000000000000,1577,3,319,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.194138123763274883515350666130,65
770,770_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,3154,3,174,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,47
771,771_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2547,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,79
772,772_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,23.000000000000000000000000000000,780,3,582,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,65
773,773_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,25.000000000000000000000000000000,486,3,340,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.780703453214284470718098418729,61
774,774_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,32.000000000000000000000000000000,4797,3,165,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.213949091781269001844023591730,49
775,775_0,FAILED,BoTorch,BOTORCH_MODULAR,,,580,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,17
776,776_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.947862937694179064074262441864,1
777,777_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,15.000000000000000000000000000000,2400,3,462,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.036736612571046024788845585363,47
778,778_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1675,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.058285768099819258714067160554,1
779,779_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,1662,3,135,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,27
780,780_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,31.000000000000000000000000000000,1625,3,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,15
781,781_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.537789185912435518943652823509,1
782,782_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,15.000000000000000000000000000000,154,3,228,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.699564325303047906956521728716,48
783,783_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,12.000000000000000000000000000000,2008,3,570,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,47
784,784_0,FAILED,BoTorch,BOTORCH_MODULAR,,,587,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.779197615585710878782776944718,1
785,785_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,21.000000000000000000000000000000,1,3,200,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,37
786,786_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,1,3,262,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,9
787,787_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,2724,3,895,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,37
788,788_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,1359,3,234,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,12
789,789_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,66.000000000000000000000000000000,2638,3,435,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,86
790,790_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,26.000000000000000000000000000000,1730,3,123,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,39
791,791_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,26.000000000000000000000000000000,1742,3,129,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,39
792,792_0,FAILED,BoTorch,BOTORCH_MODULAR,,,726,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,83
793,793_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2685,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
794,794_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
795,795_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2598,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
796,218_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
797,797_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2694,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
798,218_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
799,799_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2705,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
800,800_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2039,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
801,801_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2691,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
802,802_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3256,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
803,803_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2667,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
804,804_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1808,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
805,794_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
806,806_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2620,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
807,807_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1842,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
808,808_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2703,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
809,794_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
810,799_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2705,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
811,794_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
812,812_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1848,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
813,813_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2710,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
814,218_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
815,799_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2705,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
816,218_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
817,817_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2701,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
818,218_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
819,794_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
820,218_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
821,821_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,20.000000000000000000000000000000,1,3,119,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
822,794_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
823,823_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,15.000000000000000000000000000000,1259,3,31,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.953551345125951077541515132907,14
824,824_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2463,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.413759483462833810296643832771,1
825,825_0,FAILED,BoTorch,BOTORCH_MODULAR,,,22,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,77
826,826_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,22.000000000000000000000000000000,4929,3,209,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.990173466552107139904137511621,34
827,827_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2787,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,81
828,828_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,28.000000000000000000000000000000,4209,3,531,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,64
829,829_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,286,3,527,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,39
830,830_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2769,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
831,831_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,1214,3,378,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
832,832_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2358,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
833,833_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3214,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.416961937465756271592454140773,1
834,834_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3039,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.940602629135353529576946129964,1
835,835_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,692,3,1403,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,31
836,836_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,18.000000000000000000000000000000,2321,3,226,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.943876248974102827205001631228,1
837,837_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,799,3,123,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34
838,838_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,70.000000000000000000000000000000,2280,3,13,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.058565543058329408432349794111,37
839,839_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,4870,3,1256,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,54
840,840_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,25.000000000000000000000000000000,3694,3,209,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,54
841,841_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,3928,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,80
842,842_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,244.000000000000000000000000000000,1783,3,23,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.915336870804406954604814927734,82
843,843_0,FAILED,BoTorch,BOTORCH_MODULAR,,,414,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.418098449852321418784839579530,1
844,616_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
845,845_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,10.000000000000000000000000000000,288,3,162,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,42
846,846_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,15.000000000000000000000000000000,1428,3,299,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,48
847,847_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,20.000000000000000000000000000000,475,3,193,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,37
848,848_0,FAILED,BoTorch,BOTORCH_MODULAR,,,248,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.890895068051059668690072612662,1
849,849_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,16.000000000000000000000000000000,4857,3,86,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,30
850,850_0,FAILED,BoTorch,BOTORCH_MODULAR,,,764,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,96
851,851_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,5989.000000000000000000000000000000,4,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,70
852,852_0,FAILED,BoTorch,BOTORCH_MODULAR,,,321,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,48
853,853_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3973,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,96
854,854_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1376,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,63
855,855_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1373,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,96
856,856_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,112.000000000000000000000000000000,167,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,20
857,857_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4394,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,63
858,858_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,257.000000000000000000000000000000,2093,3,8,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.666829955846333755076216220914,59
859,859_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2886,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.049324319886472359208973159639,14
860,860_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2305,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.738835102017143197095094819815,1
861,861_0,FAILED,BoTorch,BOTORCH_MODULAR,,,623,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.415995647229449982962279364074,1
862,862_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1336,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.320860117433561575772671403683,1
863,863_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,19.000000000000000000000000000000,941,3,217,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.859374918653864283690779757308,1
864,864_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2795,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.416526723859953262874000756710,1
865,865_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,47.000000000000000000000000000000,488,3,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,17
866,866_0,FAILED,BoTorch,BOTORCH_MODULAR,,,39,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
867,867_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,94.000000000000000000000000000000,3701,3,46,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.921941656456522928841934572119,68
868,868_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,3903,3,1237,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,44
869,869_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,2545,3,1428,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,51
870,870_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,12.000000000000000000000000000000,893,3,4342,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,52
871,871_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,12.000000000000000000000000000000,2695,3,3206,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,46
872,872_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,15.000000000000000000000000000000,2881,3,1813,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.209673148141077930750597602128,55
873,873_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,49.000000000000000000000000000000,3665,3,154,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,72
874,874_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,18.000000000000000000000000000000,2176,3,895,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,47
875,875_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,2474,3,634,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,52
876,876_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,40.000000000000000000000000000000,2804,3,89,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,51
877,877_0,FAILED,BoTorch,BOTORCH_MODULAR,,,411,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.948275536853686040750233132712,6
878,878_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4938,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,13
879,879_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,2520.000000000000000000000000000000,2512,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.739798249198115653868512708868,56
880,880_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,29.000000000000000000000000000000,4857,3,129,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.542179140901314582379200146534,54
881,881_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1774,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.511760341501115600948423889349,75
882,882_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,4045.000000000000000000000000000000,1728,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,63
883,883_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,15.000000000000000000000000000000,2472,3,639,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,35
884,884_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,9.000000000000000000000000000000,1479,3,3593,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.960955044785996248535298036586,61
885,885_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,10.000000000000000000000000000000,1223,3,2478,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,48
886,886_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,22.000000000000000000000000000000,1029,3,98,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,41
887,887_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,6390.000000000000000000000000000000,4544,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001313602144956696037708665514,69
888,888_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,2758,3,1217,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,68
889,889_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,17.000000000000000000000000000000,3612,3,849,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,69
890,616_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
891,891_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,168.000000000000000000000000000000,1461,3,174,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
892,892_0,FAILED,BoTorch,BOTORCH_MODULAR,,,431,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
893,893_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,27.000000000000000000000000000000,2078,3,181,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,61
894,894_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,28.000000000000000000000000000000,3998,3,20,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.109701937889610787180139084285,32
895,895_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,82.000000000000000000000000000000,3775,3,71,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,67
896,896_0,FAILED,BoTorch,BOTORCH_MODULAR,,,502,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,35
897,897_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,16.000000000000000000000000000000,5000,3,104,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
898,898_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
899,899_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,919.000000000000000000000000000000,2999,3,49,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
900,900_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,3565,3,69,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,32
901,901_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,41.000000000000000000000000000000,675,3,194,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,73
902,902_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,37.000000000000000000000000000000,2651,3,159,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,68
903,903_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,238,3,388,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,30
904,904_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,4077,3,417,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,16
905,905_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,25.000000000000000000000000000000,2470,3,573,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,74
906,906_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2722,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
907,907_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,157.000000000000000000000000000000,5000,3,286,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
908,908_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,2743,3,215,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,9
909,273_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
910,910_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1843,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
911,911_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,36.000000000000000000000000000000,5000,3,184,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,60
912,912_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,26
913,913_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,24.000000000000000000000000000000,3387,3,114,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,42
914,914_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,20.000000000000000000000000000000,1513,3,53,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,30
915,915_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,19
916,916_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,42.000000000000000000000000000000,1298,3,134,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,67
917,917_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,49.000000000000000000000000000000,2532,3,143,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,67
918,918_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2585,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
919,919_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,24
920,920_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,24.000000000000000000000000000000,2465,3,457,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
921,921_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,62.000000000000000000000000000000,1067,3,203,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,74
922,922_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,10
923,794_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
924,924_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,67.000000000000000000000000000000,1399,3,135,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,63
925,925_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,18
926,794_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
927,927_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1147,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,23
928,928_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,14
929,929_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,17
930,930_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4965,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,20
931,931_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,14.000000000000000000000000000000,4658,3,323,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,17
932,932_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,21.000000000000000000000000000000,814,3,144,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,50
933,933_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,4002,3,133,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
934,934_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,49.000000000000000000000000000000,1241,3,83,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,48
935,935_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,95.000000000000000000000000000000,4787,3,132,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,68
936,936_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,25
937,937_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,11.000000000000000000000000000000,3661,3,85,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,80
938,938_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1137,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,32
939,939_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,2171,3,405,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,45
940,940_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,27.000000000000000000000000000000,5000,3,84,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,52
941,941_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,163.000000000000000000000000000000,5000,3,180,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
942,942_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,4616,3,80,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14
943,943_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2473,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
944,944_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,25
945,273_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
946,946_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1050,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,23
947,947_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,18.000000000000000000000000000000,5000,3,216,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
948,948_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,17.000000000000000000000000000000,4864,3,128,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,45
949,949_0,FAILED,BoTorch,BOTORCH_MODULAR,,,118,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
950,273_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
951,951_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,16
952,952_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,40.000000000000000000000000000000,3081,3,213,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,82
953,953_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,103.000000000000000000000000000000,4790,3,219,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,84
954,954_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,61.000000000000000000000000000000,1042,3,156,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,75
955,256_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
956,956_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,176.000000000000000000000000000000,1693,3,323,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
957,957_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,41.000000000000000000000000000000,3772,3,333,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,66
958,958_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,11.000000000000000000000000000000,4146,3,87,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
959,959_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,17.000000000000000000000000000000,3281,3,167,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
960,960_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,13.000000000000000000000000000000,1668,3,110,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,57
961,273_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
962,962_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,26
963,963_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
964,915_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,19
965,965_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,32.000000000000000000000000000000,3754,3,177,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,60
966,966_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,28
967,967_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,10.000000000000000000000000000000,380,3,138,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,20
968,968_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,29.000000000000000000000000000000,2042,3,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,68
969,969_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3802,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
970,970_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,70.000000000000000000000000000000,4917,3,212,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,83
971,971_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,12.000000000000000000000000000000,2930,3,201,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24
972,919_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,24
973,794_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
974,974_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,13.000000000000000000000000000000,865,3,155,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,56
975,975_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,21.000000000000000000000000000000,5000,3,707,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
976,976_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1088,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
977,977_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,17.000000000000000000000000000000,5000,3,123,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
978,978_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,11.000000000000000000000000000000,2729,3,124,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,82
979,979_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4900,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
980,980_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,13
981,981_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,11.000000000000000000000000000000,505,3,92,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,67
982,982_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1787,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
983,983_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1124,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,17
984,984_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,21.000000000000000000000000000000,922,3,512,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,65
985,985_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,26.000000000000000000000000000000,591,3,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,85
986,986_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3024,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
987,987_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,102.000000000000000000000000000000,3575,3,79,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,62
988,988_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,14.000000000000000000000000000000,4484,3,159,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,54
989,963_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
990,990_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,17.000000000000000000000000000000,4906,3,64,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,33
991,963_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
992,992_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24
993,993_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,28.000000000000000000000000000000,1991,3,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,62
994,273_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
995,995_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,18
996,996_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,26
997,997_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3147,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,33
998,963_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
999,999_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,31.000000000000000000000000000000,1482,3,159,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,55
1000,1000_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,20
1001,1001_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2014,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,26
1002,256_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
1003,1003_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,11.000000000000000000000000000000,428,3,240,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14
1004,1004_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,256.000000000000000000000000000000,1854,3,194,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
1005,1005_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,14.000000000000000000000000000000,1829,3,77,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,16
1006,1006_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4149,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,20
1007,1007_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1938,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
1008,1000_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,20
1009,1009_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,24.000000000000000000000000000000,56,3,77,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,34
1010,1010_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,12.000000000000000000000000000000,372,3,301,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,11
1011,1011_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,14.000000000000000000000000000000,2578,3,127,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,31
1012,1012_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,10.000000000000000000000000000000,2703,3,52,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,75
1013,1013_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,3842,3,97,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,63
1014,1014_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,10.000000000000000000000000000000,4104,3,103,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,97
1015,963_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
1016,1016_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1751,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,19
1017,1017_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2142,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,32
1018,1018_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4091,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
1019,1019_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,19.000000000000000000000000000000,1,3,174,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,59
1020,963_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
1021,1021_0,FAILED,BoTorch,BOTORCH_MODULAR,,,870,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,30
1022,1022_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,138.000000000000000000000000000000,2790,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,23
1023,1023_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,16.000000000000000000000000000000,1,3,77,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
1024,963_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
1025,1025_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,20
1026,1026_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,33.000000000000000000000000000000,1,3,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,44
1027,1027_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1958,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,21
1028,1028_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,11.000000000000000000000000000000,105,3,290,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,19
1029,1029_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,15.000000000000000000000000000000,1684,3,331,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,37
1030,1030_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,16.000000000000000000000000000000,2291,3,61,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,60
1031,1031_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,22
1032,1032_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1718,3,114,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,41
</pre>
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			<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_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4632720/4632720_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4633203/4633203_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4633780/4633780_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4634798/4634798_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4636092/4636092_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4637270/4637270_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4637907/4637907_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4639456/4639456_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4639921/4639921_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4640657/4640657_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4641629/4641629_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4642809/4642809_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4643195/4643195_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4643506/4643506_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4644001/4644001_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4644456/4644456_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4645683/4645683_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4648470/4648470_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4648993/4648993_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4649281/4649281_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4649449/4649449_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4649748/4649748_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4649924/4649924_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4651679/4651679_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4656394/4656394_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4657491/4657491_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4660967/4660967_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4661297/4661297_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4661804/4661804_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4662511/4662511_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4664683/4664683_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4671548/4671548_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4672583/4672583_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4673580/4673580_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4674294/4674294_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4674682/4674682_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4675149/4675149_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4675639/4675639_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4677293/4677293_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4677827/4677827_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4678171/4678171_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4678951/4678951_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4679297/4679297_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4680738/4680738_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4682161/4682161_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4682868/4682868_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4683420/4683420_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4683871/4683871_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4684092/4684092_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4684204/4684204_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4684349/4684349_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4684587/4684587_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4684715/4684715_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4684851/4684851_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685307/4685307_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685365/4685365_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685429/4685429_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685478/4685478_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685554/4685554_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685627/4685627_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685757/4685757_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685811/4685811_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685856/4685856_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685918/4685918_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685980/4685980_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4686143/4686143_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4686215/4686215_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4686287/4686287_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4686362/4686362_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4686516/4686516_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4686597/4686597_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4686687/4686687_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687146/4687146_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687225/4687225_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687292/4687292_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687371/4687371_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687431/4687431_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687501/4687501_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687581/4687581_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687658/4687658_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687747/4687747_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687814/4687814_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687903/4687903_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687989/4687989_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4688057/4688057_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4688125/4688125_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4688270/4688270_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4688341/4688341_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4688412/4688412_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4688492/4688492_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4688570/4688570_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4689054/4689054_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4689317/4689317_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4689982/4689982_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4690328/4690328_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4690611/4690611_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4690882/4690882_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4691170/4691170_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4691770/4691770_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4692155/4692155_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4692769/4692769_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4693335/4693335_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4693920/4693920_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4697054/4697054_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4700390/4700390_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4701237/4701237_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4701793/4701793_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4705272/4705272_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4705688/4705688_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4706289/4706289_0_log.err not found


⚠ Job 4703362 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4703362/4703362_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4703362/4703362_0_log.out
----------------------------------------
submitit INFO (2025-04-24 22:50:58,213) - Starting with JobEnvironment(job_id=4703362, hostname=i7182, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-24 22:50:58,215) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4703362/4703362_submitted.pkl
slurmstepd: error: *** JOB 4703362 ON i7182 CANCELLED AT 2025-04-25T00:51:01 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4703362/4703362_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4707340/4707340_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4708672/4708672_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4711767/4711767_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4711887/4711887_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4711982/4711982_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4712090/4712090_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4712184/4712184_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4712265/4712265_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4712374/4712374_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4712475/4712475_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4712565/4712565_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4712665/4712665_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4712774/4712774_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4712862/4712862_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4712948/4712948_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4713029/4713029_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4713115/4713115_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4713199/4713199_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4713279/4713279_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4713358/4713358_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4713469/4713469_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4713547/4713547_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4713634/4713634_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4713705/4713705_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4713800/4713800_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4713877/4713877_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4713977/4713977_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4714056/4714056_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4714141/4714141_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4714236/4714236_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4714324/4714324_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4714502/4714502_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4715098/4715098_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4715575/4715575_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4716585/4716585_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4717911/4717911_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4718259/4718259_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4718616/4718616_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4718928/4718928_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4722084/4722084_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4722366/4722366_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4723660/4723660_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4724911/4724911_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4725135/4725135_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4725235/4725235_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4725350/4725350_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4725457/4725457_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4725701/4725701_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4726276/4726276_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4726615/4726615_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4726921/4726921_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4727211/4727211_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4727824/4727824_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4728105/4728105_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4733083/4733083_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4733548/4733548_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4734482/4734482_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4740105/4740105_0_log.err not found


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/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4744242/4744242_0_log.err not found


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/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4745990/4745990_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4746141/4746141_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4746552/4746552_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4746742/4746742_0_log.err not found


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/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4747187/4747187_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4747322/4747322_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4747441/4747441_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4747596/4747596_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4747769/4747769_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4748613/4748613_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4748909/4748909_0_log.err not found


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/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4751336/4751336_0_log.err not found


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/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4752964/4752964_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4753488/4753488_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4753977/4753977_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4754175/4754175_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4754653/4754653_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4755220/4755220_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4755383/4755383_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4755634/4755634_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4755817/4755817_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4756271/4756271_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4756820/4756820_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4757160/4757160_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4757339/4757339_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4757730/4757730_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4757921/4757921_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4758065/4758065_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4758208/4758208_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4758344/4758344_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4758610/4758610_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4758769/4758769_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4758937/4758937_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4759576/4759576_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4759770/4759770_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4759925/4759925_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4761139/4761139_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4761321/4761321_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4761536/4761536_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4761685/4761685_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4762071/4762071_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4762251/4762251_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4762820/4762820_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4762999/4762999_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4763333/4763333_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4764057/4764057_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_NOAAWeather_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">1745405897.3240032,20,0,0
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1745405973.1078966,20,4,20
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1745405995.2619884,20,5,25
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1745405998.2652671,20,6,30
1745406022.174328,20,6,30
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1745406023.7429533,20,6,30
1745406025.2352896,20,7,35
1745406026.2168171,20,7,35
1745406054.788202,20,6,30
1745406054.8708916,20,6,30
1745406056.0573654,20,6,30
1745406056.4063444,20,6,30
1745406058.1690702,20,7,35
1745406059.1304264,20,7,35
1745406086.849216,20,6,30
1745406086.9403684,20,6,30
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1745649031.386784,20,0,0
1745649033.1333616,20,1,5
1745649043.4869504,20,1,5
1745649362.8276074,20,1,5
1745649363.7165213,20,1,5
1745649365.2220716,20,2,10
1745649366.0648062,20,2,10
1745649381.2905312,20,1,5
1745649381.5815268,20,1,5
1745649793.832982,20,1,5
1745649794.302059,20,1,5
1745649796.1444805,20,2,10
1745649796.5708675,20,2,10
1745649813.7342381,20,1,5
1745649813.8278959,20,1,5
1745650242.6877708,20,1,5
1745650242.9865382,20,1,5
1745650244.363324,20,2,10
1745650244.639172,20,2,10
1745650259.815319,20,1,5
1745650260.0087323,20,1,5
1745650737.151243,20,1,5
1745650737.5508053,20,1,5
1745650739.1243107,20,2,10
1745650739.931611,20,2,10
1745650755.8273644,20,1,5
1745650757.0635636,20,1,5
1745651224.861403,20,1,5
1745651225.2620816,20,1,5
1745651227.1124544,20,2,10
1745651227.526839,20,2,10
1745651245.0280716,20,1,5
1745651245.2228572,20,1,5
1745651602.257045,20,1,5
1745651602.7577395,20,1,5
1745651604.319914,20,2,10
1745651604.7651405,20,2,10
1745651621.57849,20,1,5
1745651621.883584,20,1,5
1745651980.8761053,20,1,5
1745651981.2896726,20,1,5
1745651983.135738,20,2,10
1745651983.5972147,20,2,10
1745652000.2375233,20,1,5
1745652000.3314724,20,1,5
1745652332.253072,20,1,5
1745652332.7355738,20,1,5
1745652334.2327814,20,2,10
1745652334.6874468,20,2,10
1745652350.9593716,20,1,5
1745652351.1665263,20,1,5
1745652683.6130874,20,1,5
1745652684.10624,20,1,5
1745652685.5800922,20,2,10
1745652686.0200615,20,2,10
1745652703.3646886,20,1,5
1745652703.8639307,20,1,5
1745653072.421354,20,1,5
1745653073.0957327,20,1,5
1745653074.6248863,20,2,10
1745653075.4751952,20,2,10
1745653092.332222,20,1,5
1745653092.7949636,20,1,5
1745653504.1714962,20,1,5
1745653504.480426,20,1,5
1745653506.1456597,20,2,10
1745653506.570275,20,2,10
1745653523.7721214,20,1,5
1745653523.8772044,20,1,5
1745653942.954024,20,1,5
1745653943.392101,20,1,5
1745653945.1378784,20,2,10
1745653945.6016438,20,2,10
1745653963.271235,20,1,5
1745653963.4100525,20,1,5
1745654299.0517342,20,1,5
1745654299.443368,20,1,5
1745654301.1463523,20,2,10
1745654301.5953565,20,2,10
1745654318.775678,20,1,5
1745654318.9707966,20,1,5
1745654697.2299411,20,1,5
1745654698.7046115,20,1,5
1745654700.2047112,20,2,10
1745654701.128256,20,2,10
1745654717.5192485,20,1,5
1745654717.7528281,20,1,5
1745655257.679533,20,1,5
1745655258.106156,20,1,5
1745655259.6158943,20,2,10
1745655260.4119842,20,2,10
1745655276.3373513,20,1,5
1745655276.8243454,20,1,5
1745655700.0324354,20,1,5
1745655700.3451521,20,1,5
1745655702.0463312,20,2,10
1745655702.6001596,20,2,10
1745655717.7729392,20,1,5
1745655717.99308,20,1,5
1745656211.8788066,20,1,5
1745656212.314841,20,1,5
1745656214.1299472,20,2,10
1745656214.5587611,20,2,10
1745656232.6264653,20,1,5
1745656232.7229831,20,1,5
1745656621.7530425,20,1,5
1745656622.1787016,20,1,5
1745656624.1105208,20,2,10
1745656624.5802011,20,2,10
1745656641.9447892,20,1,5
1745656642.152164,20,1,5
1745657076.7260597,20,1,5
1745657077.0232346,20,1,5
1745657078.4023678,20,2,10
1745657078.6332138,20,2,10
1745657094.1705105,20,1,5
1745657094.3826065,20,1,5
1745657104.9144945,20,1,5
1745657119.9663835,20,1,5
1745657134.7360332,20,1,5
1745657149.8178754,20,1,5
1745657155.576059,20,1,5
1745657166.3875077,20,0,0
1745657181.1156135,20,0,0
1745657654.5091994,20,0,0
1745657654.8384469,20,0,0
1745657656.3436403,20,1,5
1745657666.2845101,20,1,5
1745658015.673331,20,1,5
1745658015.9903572,20,1,5
1745658017.3872745,20,2,10
1745658017.9428496,20,2,10
1745658033.3845556,20,1,5
1745658033.8492708,20,1,5
1745658453.1914773,20,1,5
1745658453.515177,20,1,5
1745658455.062603,20,2,10
1745658455.6262598,20,2,10
1745658471.0786269,20,1,5
1745658471.2677903,20,1,5
1745658903.4860785,20,1,5
1745658904.1018567,20,1,5
1745658905.609702,20,2,10
1745658906.395034,20,2,10
1745658924.2401297,20,1,5
1745658924.329895,20,1,5
1745659430.1835792,20,1,5
1745659430.684265,20,1,5
1745659432.0667336,20,2,10
1745659432.6421373,20,2,10
1745659447.8633318,20,1,5
1745659448.056613,20,1,5
1745659873.3003159,20,1,5
1745659873.7665145,20,1,5
1745659875.2320926,20,2,10
1745659876.0018516,20,2,10
1745659891.4429865,20,1,5
1745659891.881339,20,1,5
1745660374.2803712,20,1,5
1745660374.6503773,20,1,5
1745660376.0352511,20,2,10
1745660376.3149984,20,2,10
1745660392.898858,20,1,5
1745660393.1100354,20,1,5
1745660922.1707582,20,1,5
1745660922.578116,20,1,5
1745660924.1328707,20,2,10
1745660924.5752232,20,2,10
1745660942.1212275,20,1,5
1745660942.3219492,20,1,5
1745661284.453047,20,1,5
1745661285.1332102,20,1,5
1745661286.625678,20,2,10
1745661287.069624,20,2,10
1745661304.5230026,20,1,5
1745661304.8995116,20,1,5
1745661778.7702167,20,1,5
1745661779.1745925,20,1,5
1745661780.6986523,20,2,10
1745661781.1208827,20,2,10
1745661798.082312,20,1,5
1745661798.1763258,20,1,5
1745662242.3529088,20,1,5
1745662243.0533178,20,1,5
1745662244.5511093,20,2,10
1745662245.3423007,20,2,10
1745662262.056674,20,1,5
1745662262.253394,20,1,5
1745662708.7920692,20,1,5
1745662709.1951234,20,1,5
1745662710.7762768,20,2,10
1745662711.219198,20,2,10
1745662727.569167,20,1,5
1745662727.8713458,20,1,5
1745663140.2300746,20,1,5
1745663140.6495435,20,1,5
1745663142.1412625,20,2,10
1745663142.6107144,20,2,10
1745663160.2845924,20,1,5
1745663160.3762865,20,1,5
1745663530.590846,20,1,5
1745663531.07338,20,1,5
1745663532.5667083,20,2,10
1745663533.3800175,20,2,10
1745663549.966008,20,1,5
1745663550.1651905,20,1,5
1745664176.1563113,20,1,5
1745664176.5676289,20,1,5
1745664178.133719,20,2,10
1745664178.9383373,20,2,10
1745664194.8574014,20,1,5
1745664195.0649047,20,1,5
1745664648.3143706,20,1,5
1745664648.9540834,20,1,5
1745664650.450075,20,2,10
1745664650.8893483,20,2,10
1745664667.8267128,20,1,5
1745664668.0359647,20,1,5
1745665100.7286494,20,1,5
1745665101.1283255,20,1,5
1745665102.611257,20,2,10
1745665103.0332303,20,2,10
1745665120.4373305,20,1,5
1745665120.8897915,20,1,5
1745665524.3942897,20,1,5
1745665525.0505483,20,1,5
1745665526.5737762,20,2,10
1745665527.3519802,20,2,10
1745665543.75861,20,1,5
1745665543.959709,20,1,5
1745666014.503069,20,1,5
1745666015.1148071,20,1,5
1745666016.6618552,20,2,10
1745666017.189367,20,2,10
1745666034.6330826,20,1,5
1745666034.9106207,20,1,5
1745666450.561835,20,1,5
1745666450.9975352,20,1,5
1745666452.3884685,20,2,10
1745666452.8835537,20,2,10
1745666468.2566369,20,1,5
1745666468.511638,20,1,5
</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
1745405897,647.69140625,43.0
1745405897,647.6953125,41.2
1745405897,647.75390625,39.7
1745405897,647.75390625,40.8
1745405897,647.75390625,46.5
1745405897,647.75390625,39.8
1745405897,647.75390625,42.2
1745406536,699.63671875,45.5
1745406536,699.63671875,34.3
1745406536,699.63671875,40.8
1745406536,699.63671875,41.0
1745415208,955.88671875,26.0
1745415208,955.88671875,9.6
1745415208,955.88671875,9.1
1745415208,955.88671875,12.8
1745422678,946.3984375,11.0
1745422678,946.3984375,10.1
1745422679,946.3984375,9.9
1745422679,946.3984375,5.9
1745430178,986.390625,11.4
1745430178,986.390625,10.7
1745430178,986.390625,10.6
1745430178,986.390625,10.4
1745439520,993.74609375,11.6
1745439520,993.74609375,10.5
1745439520,993.74609375,10.5
1745439520,993.74609375,11.6
1745451960,1014.05859375,11.7
1745451960,1014.05859375,11.7
1745451960,1014.05859375,11.3
1745451960,1014.05859375,12.7
1745464972,1025.49609375,11.7
1745464972,1025.49609375,12.3
1745464972,1025.49609375,12.2
1745464972,1025.49609375,11.6
1745477715,1026.890625,11.8
1745477715,1026.890625,11.1
1745477715,1026.890625,10.9
1745477715,1026.890625,13.5
1745487130,1041.91015625,11.5
1745487130,1041.91015625,10.5
1745487130,1041.91015625,10.7
1745487130,1041.91015625,13.3
1745492798,1086.78515625,10.7
1745492798,1086.78515625,10.5
1745492798,1086.78515625,10.7
1745492798,1086.78515625,13.1
1745498159,1074.90234375,11.2
1745498159,1074.90234375,10.3
1745498159,1074.90234375,10.4
1745498159,1074.90234375,9.6
1745510487,1112.73828125,11.6
1745510487,1112.73828125,10.6
1745510487,1112.73828125,11.4
1745510487,1112.73828125,13.2
1745526375,1050.90234375,11.8
1745526375,1050.90234375,11.5
1745526375,1050.90234375,11.5
1745526375,1050.90234375,10.6
1745543531,1098.75390625,11.8
1745543531,1098.75390625,11.5
1745543531,1098.75390625,11.6
1745543531,1098.75390625,10.9
1745548512,1062.25,11.5
1745548512,1062.25,12.2
1745548512,1062.25,12.2
1745548512,1062.25,9.1
1745557636,1093.125,11.9
1745557636,1093.125,12.0
1745557637,1093.125,11.7
1745557637,1093.125,13.0
1745571764,1168.18359375,11.8
1745571764,1168.18359375,10.7
1745571764,1168.18359375,10.7
1745571764,1168.18359375,10.8
1745583639,1151.4765625,11.7
1745583639,1151.4765625,11.1
1745583639,1151.4765625,10.9
1745583639,1151.4765625,15.0
1745605180,1121.66015625,11.9
1745605180,1121.66015625,11.1
1745605180,1121.66015625,11.3
1745605180,1121.66015625,5.7
1745616830,1157.625,11.6
1745616830,1157.625,11.8
1745616830,1157.625,11.8
1745616830,1157.625,12.5
1745624994,1159.0,12.0
1745624994,1159.0,11.3
1745624994,1159.0,11.0
1745624994,1159.0,5.7
1745632267,1159.36328125,11.6
1745632267,1159.36328125,11.2
1745632267,1159.36328125,11.5
1745632267,1159.36328125,8.6
1745639885,1237.078125,12.1
1745639885,1237.078125,11.9
1745639885,1237.078125,11.6
1745639885,1237.078125,12.0
1745648525,1217.78125,11.7
1745648525,1217.78125,10.1
1745648525,1217.78125,10.7
1745648525,1217.78125,13.3
1745657104,1207.49609375,11.9
1745657104,1207.49609375,11.0
1745657104,1207.49609375,11.1
1745657104,1207.49609375,12.5
1745666478,1226.0078125,11.8
1745666478,1226.0078125,11.3
1745666478,1226.0078125,10.2
1745666478,1226.0078125,9.8
</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>
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