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,batch_size,gamma,alpha,use_mmd2,use_k2s_test
0,0_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,1748,2357,4.524439715415240037543753714999,0.011312672123312951175111429336,False,False
1,1_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,325.000000000000000000000000000000,4383,3901,6.580692578160205030712859297637,0.035384583482518792985072053625,True,True
2,2_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,6140.000000000000000000000000000000,2995,131,2.458752418193034916527039968059,0.017416895132511853866441597916,True,True
3,3_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,632,3625,8.958772646372207049125790945254,0.041684806132689121438428259125,False,False
4,4_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,205,812,5.073421225205064111207775567891,0.049254088720306760107447985320,False,False
5,5_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,843.000000000000000000000000000000,3505,2944,3.531956738153472663555021426873,0.025182199858129025032971171072,True,True
6,6_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,675.000000000000000000000000000000,3951,1714,8.007788931418209799062424281146,0.030799033051356675821930153347,True,True
7,7_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,2253,4543,0.909980750640854263444623484247,0.006531150080263614654541015625,False,False
8,8_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,4.000000000000000000000000000000,2077,361,8.169215534483083018812976661138,0.021904919655993580762665118300,True,False
9,9_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,470.000000000000000000000000000000,4128,3387,0.415335538270883264377886234797,0.046363519523292782975598669282,False,True
10,10_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,789.000000000000000000000000000000,3330,2117,6.094737720006146552975678787334,0.003235721783712506346292192561,False,True
11,11_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,379,4129,2.802359134047292421598740475019,0.027890333462506532863356412122,True,False
12,12_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,2.000000000000000000000000000000,1119,1319,1.375777545800432433154014688625,0.032498535081744196750808129082,True,False
13,13_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,448.000000000000000000000000000000,2508,4928,9.708528872210532512099234736525,0.008039910135790705875136197278,False,True
14,14_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1153.000000000000000000000000000000,4873,1198,4.300172157177701848240758408792,0.038768560081720353227563435894,False,True
15,15_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,2.000000000000000000000000000000,1259,2550,7.096678850159049645185405097436,0.014113929225131870495713037883,True,False
16,16_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1474.000000000000000000000000000000,1437,962,0.093109598981216554203221846819,0.029257667011115703198376181149,False,True
17,17_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,2.000000000000000000000000000000,4699,2777,8.510976115904748340312835352961,0.004992350914049894367030546505,True,False
18,18_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,2.000000000000000000000000000000,2690,1546,3.105060562981292626716367522022,0.047715372166130691489183135445,True,False
19,19_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,371.000000000000000000000000000000,951,4691,5.811569741230458774339240335394,0.023640774809289725327809961186,False,True
20,20_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,568.000000000000000000000000000000,518,1880,9.386278516084887613146747753490,0.018958285052794964647970843430,False,True
21,21_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,3196,4357,1.717551853544078799274075208814,0.043223581972066313361402478677,True,False
22,22_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,3.000000000000000000000000000000,4272,588,7.399395197388717093645027489401,0.012851412926334888561785696481,True,False
23,23_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,448.000000000000000000000000000000,1947,3150,4.016980953539722065670503070578,0.036925985204521567795143965895,False,True
24,24_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,731.000000000000000000000000000000,2398,1796,6.277972059022635775704657135066,0.040308829576242717618317357164,True,True
25,25_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,3821,4471,4.807626607460901979607115208637,0.015656824602279812569394223942,False,False
26,26_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,3644,741,9.281017638616264164852509566117,0.034041465864051136114287743339,False,False
27,27_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,386.000000000000000000000000000000,70,3025,2.116972746567800545136606160668,0.009580167828593404502623975816,True,True
28,28_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,2954.000000000000000000000000000000,815,212,3.229259481127373820896764300414,0.001695428962353617060448973675,True,True
29,29_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,2826,3555,5.356593375888653696392793790437,0.026347461965400727212927023402,False,False
30,30_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,4562,2286,1.232212053812108853989570889098,0.020361965546850116504096206427,False,False
31,31_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,576.000000000000000000000000000000,1575,3981,7.666033713878133148966753651621,0.044823285710532220771362688083,True,True
32,32_0,FAILED,Sobol,SOBOL,,,1676,20,6.051473666157574093915627599927,0.036291989632416518651858439171,False,True
33,33_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,2.000000000000000000000000000000,4626,3746,2.552530845521018054711248623789,0.011830713725183159695797385780,True,False
34,34_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,2.000000000000000000000000000000,2930,2478,8.429590387560427444668675889261,0.042566162936855111986744759633,True,False
35,35_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,466.000000000000000000000000000000,877,3789,0.486806438805535479641406482187,0.017914180091116577858700864567,False,True
36,36_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,676.000000000000000000000000000000,132,1601,4.101303109060042473288376640994,0.022703752013389023184375403730,False,True
37,37_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,3748,4666,7.002455593151041490784791676560,0.047164999891538175735838933633,True,False
38,38_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,3.000000000000000000000000000000,3887,935,1.479288680396042776621357006661,0.004030405836645514078275809311,True,False
39,39_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,906.000000000000000000000000000000,2499,2831,9.936863528476097329189542506356,0.028682366554159673815993514268,False,True
40,40_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1006.000000000000000000000000000000,2012,2072,2.189356987627223194436965059140,0.043863533540163195112437932721,True,True
41,41_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,4373,4165,8.896017736800015285325571312569,0.019789005518425255986114663642,False,False
42,42_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,3258,397,4.576419024555013592703289759811,0.025411127357278021771103126980,False,False
43,43_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,346.000000000000000000000000000000,622,3341,6.821499693211168668938171322225,0.001145880595315247781063039412,True,True
44,44_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,951.000000000000000000000000000000,1054,1156,7.894074818686583228100062115118,0.008920514580328017459343037387,True,True
45,45_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,2753,2582,0.691544560483656867155843883666,0.032995061779860411499409877933,False,False
46,46_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,4801,1351,5.282188143444248140667696134187,0.015022087734658271657162131874,False,False
47,47_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,429.000000000000000000000000000000,1501,4885,3.615976421038620269854391153785,0.039287359575275335177302338252,True,True
48,48_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,1353,1432,9.198714416463859677719483443070,0.005582724610343575005755312191,False,False
49,49_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,441.000000000000000000000000000000,4925,4814,1.906184259581379603076811690698,0.030237405624240640267252899775,True,True
50,50_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
51,51_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,11.000000000000000000000000000000,5000,2,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
52,52_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,5000,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
53,53_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3048,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
54,54_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4104,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
55,55_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,275,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
56,56_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,8.000000000000000000000000000000,1,2,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
57,57_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3090,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
58,58_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,9.000000000000000000000000000000,1,2,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
59,59_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
60,60_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,10.000000000000000000000000000000,0.014581275973025747960676312687,True,False
61,61_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
62,62_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4203,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
63,63_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,403.000000000000000000000000000000,5000,4442,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
64,64_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,4009,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
65,65_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,5000,0.001000000000000000020816681712,0.036614693871336409514150034283,True,False
66,66_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,5000,0.001000000000000000020816681712,0.034510063641692456659626486726,False,False
67,67_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3378,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
68,68_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
69,69_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
70,70_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,8.000000000000000000000000000000,5000,2,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
71,71_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4386,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
72,72_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,9.000000000000000000000000000000,5000,2,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
73,73_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1138,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
74,74_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,5000,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
75,75_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
76,76_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4214,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
77,77_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,5000,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
78,78_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,1921,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
79,79_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,778.000000000000000000000000000000,5000,2963,0.001000000000000000020816681712,0.000500000000000000010408340856,False,True
80,80_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,408.000000000000000000000000000000,5000,5000,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
81,81_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3048,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
82,82_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,9.000000000000000000000000000000,1,2,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
83,83_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
84,84_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,5000,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
85,85_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3977,2059,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
86,86_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,426,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
87,87_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,373.000000000000000000000000000000,1,4425,10.000000000000000000000000000000,0.000500000000000000010408340856,True,True
88,88_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
89,89_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,906.000000000000000000000000000000,1,2955,0.001000000000000000020816681712,0.000500000000000000010408340856,False,True
90,90_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,5000,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
91,91_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,5000,1447,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
92,92_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,2958,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
93,93_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,10.000000000000000000000000000000,0.027187980130868746875272279340,False,False
94,94_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,419.000000000000000000000000000000,5000,5000,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
95,95_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
96,96_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4012,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
97,97_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,410.000000000000000000000000000000,1,5000,10.000000000000000000000000000000,0.028753802711439152561823107135,True,True
98,98_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4102,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
99,99_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4233,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
100,100_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2302,5000,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
101,101_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2547,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
102,102_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2607,5000,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
103,103_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1839,5000,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
104,104_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4625,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
105,105_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2139,2,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
106,106_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4644,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
107,107_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1774,5000,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
108,108_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2340,2,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
109,109_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1774,3141,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
110,110_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,8.000000000000000000000000000000,2992,2,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
111,111_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1602,5000,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
112,112_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,8.000000000000000000000000000000,3102,2,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
113,113_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,1265,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
114,114_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4672,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
115,115_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3493,5000,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
116,116_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1906,4050,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
117,117_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,2449,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
118,118_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,1306,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
119,119_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,776,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
120,120_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1219,3109,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
121,121_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3676,2,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
122,122_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,1,1253,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
123,123_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,2342,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
124,124_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1844,848,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
125,125_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1693,5000,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
126,126_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3487,2,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
127,127_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4657,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
128,128_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3398,3131,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
129,129_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1891,3106,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
130,130_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1640,722,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
131,131_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1457,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
132,132_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2264,5000,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
133,133_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3493,5000,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
134,134_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4675,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
135,135_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,2198,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
136,136_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,1560,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
137,137_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,745,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
138,138_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1319,857,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
139,139_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,5.000000000000000000000000000000,1,288,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
140,140_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,7.000000000000000000000000000000,1640,2,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
141,141_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,8.000000000000000000000000000000,2140,2,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
142,142_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1904,3959,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
143,143_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1822,830,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
144,144_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,990,4708,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
145,145_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,2030,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
146,146_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1253,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
147,147_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4761,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
148,148_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,8.000000000000000000000000000000,1803,2,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
149,149_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.830000000000000071054273576010,3.000000000000000000000000000000,1,497,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
150,150_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,419.000000000000000000000000000000,5000,4012,0.005529146925277752394611852083,0.019186387899238946386226700724,False,True
151,151_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,409.000000000000000000000000000000,3666,3406,8.988052647619140245183189108502,0.019475198492194766702878538922,False,True
152,152_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,409.000000000000000000000000000000,557,4332,8.774489899376821000487325363792,0.019298705781698410194335835399,False,True
153,153_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,408.000000000000000000000000000000,2934,3661,0.001000000000000000020816681712,0.019329642961762923819568626982,True,True
154,154_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,381.000000000000000000000000000000,4363,4787,4.172953700004700117176525964169,0.018798855892946803036736014292,False,True
155,155_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,356.000000000000000000000000000000,1037,3211,5.704440059939923202136924373917,0.019707155412662095972375908559,True,True
156,156_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,6.000000000000000000000000000000,1006,219,8.015545976536635919273976469412,0.045875758450030695856369788999,True,False
157,157_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,6.000000000000000000000000000000,3981,234,9.783613104999245635440274782013,0.040984195821927478509127951156,True,False
158,158_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.830000000000000071054273576010,834.000000000000000000000000000000,1006,219,8.249202193175385389167786343023,0.048922365544631418732279826145,True,True
159,159_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,378.000000000000000000000000000000,2369,3938,10.000000000000000000000000000000,0.019466093245249338483660039856,True,True
160,160_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,435.000000000000000000000000000000,1075,4565,2.298364935524484842233050585492,0.019064970274065482641612234715,True,True
161,161_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,692.000000000000000000000000000000,5000,2030,10.000000000000000000000000000000,0.019963293921845502720824327980,False,True
162,162_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,6.000000000000000000000000000000,1006,219,8.180262721528773539603207609616,0.039678336198887047270300598711,True,False
163,163_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1822,830,9.999976811537091947457156493329,0.023670203047278591534929859108,True,False
164,164_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,399.000000000000000000000000000000,833,4326,0.001000000000000000020816681712,0.018909669833633166446951179296,True,True
165,165_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,0.194816366944118801729501910813,0.026963002815598633571392284125,True,False
166,166_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,6.000000000000000000000000000000,1006,219,8.015920573189616149534231226426,0.036215492678755872857365716300,True,False
167,167_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,422.000000000000000000000000000000,1155,3316,9.956484318686934287256917741615,0.019346056963835168290843924410,False,True
168,168_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4278,3847,3.888555506105855208431876235409,0.002166474645913880371639326228,False,False
169,169_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1068.000000000000000000000000000000,1830,788,8.962105651903275571612539351918,0.012724864275536328789284468144,True,True
170,170_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2550,3569,0.692814527337763830239225626428,0.001767769273366092764102064372,True,False
171,171_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4626,3746,2.557151054555348412833382099052,0.048551447043023478189471831001,True,False
172,172_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1155,3313,10.000000000000000000000000000000,0.023362161494289917368361031436,False,False
173,173_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4607,2004,4.598754563710965470590963377617,0.035842463495062225342646655690,False,False
174,174_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1297,4260,8.226314806392059253425941278692,0.022491925734516377693994471088,True,False
175,175_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4507,87,0.955454221359689936932113596413,0.033408839081410471316679888787,True,True
176,176_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,4800,2712,2.169167812192158262263319556951,0.045869952779562704614502166578,True,False
177,177_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1126.000000000000000000000000000000,1640,786,0.424014820783951362770380910661,0.020468613195606045335184219880,True,True
178,178_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,822.000000000000000000000000000000,4091,2690,9.309403501568102257124337484129,0.019992620599779742374124680282,False,True
179,179_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,423.000000000000000000000000000000,41,3580,8.350598774390626033437001751736,0.005175941963588935081086450651,True,True
180,180_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,0.120112583879343148840490584917,0.020498057884290675489946664811,True,True
181,181_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1154.000000000000000000000000000000,2520,226,8.728611720054663791756865975913,0.034894748661479242646255016780,True,True
182,182_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1297,4260,8.124242201436628008082152518909,0.024287583806216581083781136385,False,False
183,183_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.830000000000000071054273576010,871.000000000000000000000000000000,1006,218,8.419272095855085069615597603843,0.050000000000000002775557561563,True,True
184,184_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1161,3744,9.659971966124066611314447072800,0.039585462406668603385639926273,True,False
185,185_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,4091,2690,9.180740774717376595503992575686,0.048533091068406634949194966566,True,False
186,186_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,9.887239752945390591776231303811,0.032542179525059798661512644458,True,True
187,187_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.830000000000000071054273576010,937.000000000000000000000000000000,1006,219,8.329694041943115578874312632252,0.048029592007225972716266682028,True,True
188,188_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,418.000000000000000000000000000000,3919,3889,3.047094061604091130845972656971,0.011547987500587090017867275549,False,True
189,189_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1803,2,9.999949697181316210503609909210,0.011794570019747898509399064437,True,True
190,190_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,6.000000000000000000000000000000,2520,226,8.788963508579429984024500299711,0.037988124008519391638927231725,True,False
191,191_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,740.000000000000000000000000000000,1141,2008,9.815229216620302565843303455040,0.033021016653356292935850291315,False,True
192,192_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,16.000000000000000000000000000000,1803,2,9.753233324744778443005088774953,0.023727573850821897377683100672,False,False
193,193_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,6.000000000000000000000000000000,1006,219,8.331627129923667496314010350034,0.043958512413451028555400057485,True,False
194,194_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3018.000000000000000000000000000000,2605,234,2.429839571931903918766693095677,0.032732364930150456561186445015,True,True
195,195_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,5.000000000000000000000000000000,1830,788,9.019622358367803016676589322742,0.027189636085544265781122064141,True,False
196,196_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1155,3368,8.876775928062782483607406902593,0.021784021225400438531716318380,False,False
197,197_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1952,2046,6.096829749167116396790788712678,0.023475048303023385992682747769,True,False
198,198_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4679,2160,1.390602243030675477797331041074,0.036251179900897899377465449788,False,False
199,199_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,753.000000000000000000000000000000,2458,2699,3.313368124599784803052671122714,0.048257562841263264286073564335,True,True
200,200_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,454.000000000000000000000000000000,3702,4119,2.323642436889925555476565932622,0.020045806421638705935306390415,True,True
201,201_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,931.000000000000000000000000000000,2715,1318,2.365619198089478292246212731698,0.020175201598954362047777522093,True,True
202,202_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,412.000000000000000000000000000000,5000,5000,2.304160998214904054748330963776,0.020016780643788416316208866874,True,True
203,203_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4488,1450,5.455582081412384987118002754869,0.024888526810137916178700123737,False,False
204,204_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3397,1672,9.062444013200616765857375867199,0.035770928410785891859990925923,False,False
205,205_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,838.000000000000000000000000000000,2125,2392,2.351057896338518471424094968825,0.020124911749108187475343356709,True,True
206,206_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,981.000000000000000000000000000000,1024,1107,2.364170163836494253928321995772,0.020242987831240035617730299577,True,True
207,207_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4272,588,7.170395296707869903229948249646,0.023476621763093102196462425013,False,False
208,208_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,8.829726115369009420419388334267,0.035428535942783549728130054746,True,False
209,209_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3455,153,3.525146683580168804894583445275,0.011599100206368229137865455414,False,False
210,210_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4359,3219,0.637212312370285083318321994739,0.035504354245042488158468074744,True,False
211,211_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1219,3109,9.230261401620628802788814937230,0.036015853498179706271287159325,False,False
212,212_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,4834,647,5.109243867514004833196850086097,0.023846919785246913775500487986,True,False
213,213_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,4272,588,7.869908895297400341917182231555,0.020199027953810583940752465537,True,False
214,214_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,769,3291,0.923367831016890350248615959572,0.037797434917858835357051816572,False,False
215,215_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3163,1786,2.817072395271524865023593520164,0.036108657003066424451276361651,False,False
216,216_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2253,4543,0.665620770070639244941901324637,0.035430915540328414281567859234,True,False
217,217_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,703,1423,0.568313686716494292916479480482,0.035495382658679304477278293461,True,False
218,218_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1138,9.792622175647968774114815460052,0.036774629453920369692720981902,True,False
219,219_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3598,1652,3.548523316035922192668294883333,0.011774533236268140690139460958,False,False
220,220_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4585,1824,4.249839322783092399049564846791,0.026690133682044980822922752850,False,False
221,221_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1024,1107,0.699140202879180883144272229401,0.031229473493523729477061579018,True,False
222,222_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1138,9.658897481654177497034652333241,0.028896180123172580250789920342,True,False
223,223_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,4566,3416,0.989577765823275168344252961106,0.048570509057420337140076327387,True,False
224,224_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,2648,1508,8.059072580268969332450978981797,0.026056753568309391072554959123,True,False
225,225_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1782,3171,2.465136146433571706637621900882,0.037311524119590724901662781576,True,False
226,226_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4088,3062,7.563130798226714190946040616836,0.038080493776748630674333639945,False,False
227,227_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,3598,1653,0.439279692407531230369244212852,0.004755835894075104673672793609,True,False
228,228_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,842,1205,0.364262929692538872661344839798,0.038528872266329013129837477436,False,False
229,229_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1785,1712,2.528383456008283403093628294300,0.002870622282848058100246380064,True,False
230,230_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,1535,599,5.891240165924308769263006979600,0.025125902080419364181818053794,True,False
231,231_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,619.000000000000000000000000000000,1382,4165,0.794140836260725069273291865102,0.024718637745504767194715256551,True,True
232,232_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2831.000000000000000000000000000000,2304,450,2.592153860005042442793410373270,0.020184732970642285665441306719,True,True
233,233_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,4723,121,0.474391340856593790586970271761,0.004837216510182988822574845500,True,False
234,234_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4566,3416,1.336175796094932533009114195011,0.034289900700641536002155618235,True,False
235,235_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1785,1712,2.225869191497695354087227315176,0.037761655563697010817847399267,False,False
236,236_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3163,1786,2.594430481663607679365668445826,0.044110634554421296327220147759,False,False
237,237_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1961,3061,4.120767013912331577785153058358,0.026989996157708334711955444618,False,False
238,238_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1255,3001,9.556497412182972439609329740051,0.025527625074183553366413690355,True,False
239,239_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,4585,1824,4.287317671537578256391043396434,0.034164262456909795517834282919,True,False
240,240_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4373,4165,7.566459363625736678216071595671,0.038073169922494563832682246129,False,False
241,241_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3702,4119,1.588452253243222145329127670266,0.038260934935045551319454659733,False,False
242,242_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3163,1786,3.611757583654107595094728822005,0.012119415681009805541012980257,False,False
243,243_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,3691,1823,3.620158898421542925660787659581,0.045401911439390901792378940627,False,False
244,244_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3048,9.927111336307232747344642120879,0.019922896285226626006403805036,False,False
245,245_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3297,4511,1.482312851428670530395947935176,0.034290631728453695170610870946,True,False
246,246_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,79,1808,0.886578593576746398774446333846,0.039666021406203580412785925091,False,False
247,247_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,8.000000000000000000000000000000,3455,153,4.512649194570013122529417159967,0.013346936408013912803149914055,True,False
248,248_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1868,2673,9.061285145946772701108784531243,0.025192091347419783703420748111,True,False
249,249_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1219,3109,8.316797107818922896171898173634,0.014091901424811438189865775428,True,False
250,250_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1850,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
251,251_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,5000,1367,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
252,252_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,4801,1351,1.909020209953196323127144751197,0.050000000000000002775557561563,True,False
253,253_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,1,2152,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
254,254_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1602,5000,4.738869384876982060461614310043,0.012832176862802038841415708248,True,False
255,255_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1602,5000,4.773397403590931453720713761868,0.000500000000000000010408340856,False,False
256,256_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1602,5000,4.775777927847623338664106995566,0.050000000000000002775557561563,False,False
257,257_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,402,0.001000000000000000020816681712,0.018390467063274466147371200009,True,False
258,258_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1774,5000,4.774922973573468176766709802905,0.027409463359077068655977882372,False,False
259,259_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,5000,1641,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
260,260_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1836,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
261,261_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,6.000000000000000000000000000000,1,335,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
262,262_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,5.924039948672731981105243903585,0.050000000000000002775557561563,False,False
263,263_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,5000,6.146439800719274870743902283721,0.031580325396050976105577490216,True,False
264,264_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,5000,2177,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
265,265_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1602,5000,5.243552229077486970254540210590,0.000500000000000000010408340856,True,False
266,266_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,5000,6.738458277868313750502693437738,0.041229598508723035166223525039,False,False
267,267_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4839,2664,4.682020408536668121257662278367,0.000500000000000000010408340856,False,False
268,268_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,4.283186094519513709144575841492,0.009065256735003975052666902457,True,False
269,269_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,5000,1140,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
270,270_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,4.204778267052120099833700805902,0.035928013394929195212235129020,False,False
271,271_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1025,3264,5.487304210780637347966148809064,0.000500000000000000010408340856,True,False
272,272_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,5000,5.799873312535687830404640408233,0.009676400537534112639148631274,False,False
273,273_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,9.000000000000000000000000000000,965,2,4.618432515889270284503709262935,0.000500000000000000010408340856,False,False
274,274_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,5000,5.932096690593112064959768758854,0.027794273383146238243224246389,True,False
275,275_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,625,2943,3.196273693595994558336315094493,0.050000000000000002775557561563,False,False
276,276_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,4842,2615,3.823435377902225429380678178859,0.000500000000000000010408340856,True,False
277,277_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,6.626292044895325972220234689303,0.000500000000000000010408340856,True,False
278,278_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,445,2566,0.001000000000000000020816681712,0.016704144350797998919144760066,True,False
279,279_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,5000,1367,1.120105325714540134285357453336,0.050000000000000002775557561563,True,False
280,280_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2264,3082,4.073553518999434075453791592736,0.022726107987455872877502471852,True,False
281,281_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,617,2832,0.001000000000000000020816681712,0.013855017162954758047632708440,False,False
282,282_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,5000,3.459211746675413756690886657452,0.018867881212350470082617093226,True,False
283,283_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,1012,3.520197085672192915950517999590,0.000500000000000000010408340856,False,False
284,284_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,988,4048,5.021710560693389169273359584622,0.000500000000000000010408340856,True,False
285,285_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,402,1.031622079127635149831121452735,0.020291696533153002340865711517,False,False
286,286_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4991,3578,10.000000000000000000000000000000,0.031946211057684109624332791100,True,False
287,287_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1457,7.828849994699037750933712231927,0.000500000000000000010408340856,True,False
288,288_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,3533,2011,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
289,289_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,4.450228874599215345142511068843,0.050000000000000002775557561563,True,False
290,290_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,7.601035046294346564366151142167,0.050000000000000002775557561563,True,False
291,291_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,3.118768790672752810877454976435,0.024751922033605870676620241966,False,False
292,292_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,5.899444720059711322335260774707,0.000500000000000000010408340856,True,False
293,293_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1956,2102,6.157281803371968287308391154511,0.000500000000000000010408340856,False,False
294,294_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1283,4602,6.716941470711464745591001701541,0.005686946384104251892011028247,True,False
295,295_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,3989,1924,9.058149820869621393626403005328,0.000500000000000000010408340856,True,False
296,296_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,2767,5.338624514647257512933720136061,0.050000000000000002775557561563,False,False
297,297_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3667,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
298,298_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,4.618429140301741675500579731306,0.000500000000000000010408340856,True,False
299,299_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,4510,3794,6.378776325521245738059405994136,0.002319627111848473078464794028,True,False
300,300_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,13,4761,8.214880381968866274178253661375,0.024255446511956772065454757126,True,False
301,301_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1069,27,3.692823689822535726534624700435,0.037801825541703026889450711678,False,False
302,302_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3071,4716,2.777211661739202863685704869567,0.015765932221351166425682421846,True,False
303,303_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,205,812,5.401212487450579580183784855762,0.012508918261407741753798994466,False,False
304,304_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3976,2054,10.000000000000000000000000000000,0.011619607645418677382975758405,False,False
305,305_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,3207,1091,4.823778615161886662576762319077,0.014683269429104681136344368042,True,False
306,306_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1748,2357,7.085443093036152717445474991109,0.031387082996175375004810348400,False,False
307,307_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4882,3429,1.082362100838710761152583472722,0.010329616686086961346857648891,True,False
308,308_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,8.000000000000000000000000000000,965,2,3.495343155409928126431395867257,0.012479251029418885962640750620,False,False
309,309_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4626,3746,3.103318478564694782306787601556,0.024945840882630521129215139808,True,False
310,310_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4743,3962,10.000000000000000000000000000000,0.012297765132241697191850526849,False,False
311,311_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2584,3794,8.088908840078845585708222643007,0.025482574397499516832832355817,True,False
312,312_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3376,2082,2.832147244504963357059068584931,0.012111753127561490292474211117,False,False
313,313_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4845,3973,4.999025371484354884898948512273,0.014412642086503488214610513296,False,False
314,314_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3748,4666,6.402647712513542366252750070998,0.016678682700206871880599379665,False,False
315,315_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,2420,0.240564033114459119300221345839,0.025577244969015450193339233920,True,False
316,316_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3282,4814,3.280094623400334974405723187374,0.035849866010821990203183418089,False,False
317,317_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1012,3.333083426220285527818987247883,0.019059522008058753933523732371,True,False
318,318_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4324,3531,7.765328640263411408284355275100,0.011759798364436363157792264644,False,False
319,319_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3102,2,0.904002301631266380610441046883,0.034787793003981735961982479921,True,False
320,320_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,2449,10.000000000000000000000000000000,0.032502029547585110924590168224,True,False
321,321_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,3529,4722,1.777190641363645351447075881879,0.025442464377277422549195051715,True,False
322,322_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2323,3872,3.318866269846443728397389349993,0.021986504860018019069656247666,False,False
323,323_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,585,1118,7.698295514606002143409568816423,0.012549935744838595225170152503,False,False
324,324_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3282,4853,2.957168397573815443735156804905,0.045640396364953157715138587491,False,False
325,325_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,776,1.821688195133082333043716971588,0.012506291764859322687697407162,True,False
326,326_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4337,2770,8.310067842455387321365378738847,0.033977886112888863734404765182,False,False
327,327_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,379,4129,0.001000000000000000020816681712,0.009375032564797630696418195839,True,False
328,328_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,8.000000000000000000000000000000,965,2,6.318643540460560537042056239443,0.038811625132468982601885443273,False,False
329,329_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,10.000000000000000000000000000000,5000,2,10.000000000000000000000000000000,0.040016182485134936530624116813,False,False
330,330_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4556,3924,1.621567296675904934488698927453,0.031272543525228943539495674031,True,False
331,331_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1242,2466,3.467399680496018987696515978314,0.030018643338174767071224735560,True,False
332,332_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1587,4834,6.046381648258601693157743284246,0.019585160899733139450162866524,False,False
333,333_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4877,4824,10.000000000000000000000000000000,0.037059268482654637855144841296,False,False
334,334_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4562,2286,2.228345280956801843785797245800,0.031258494268752351485929352748,False,False
335,335_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4275,3918,0.001000000000000000020816681712,0.013392591278695064119230728750,False,False
336,336_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3282,4853,2.525586477750846992051947381697,0.017964732698647026265525994404,False,False
337,337_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2907,3767,0.001000000000000000020816681712,0.027520642615263987001972267876,False,False
338,338_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4888,2808,2.564970126654570581337111434550,0.034472725406761932365196088313,False,False
339,339_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3491,4828,7.532392231021704631643842731137,0.011220549674848114690695055629,False,False
340,340_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,990,4708,10.000000000000000000000000000000,0.030107344134866088208868362130,False,False
341,341_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3994,2183,6.953721882555540467762966727605,0.010979470361628690389110829528,False,False
342,342_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1025,3264,3.711381918135653545931518237921,0.010369134436977137103674806440,False,False
343,343_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1984,2135,0.001000000000000000020816681712,0.013136297203509558068068585612,True,False
344,344_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,299,1945,7.687421383246685557821820111712,0.017557711855515419074880156813,False,False
345,345_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4743,3962,8.375458847653586502701728022657,0.027181093262182032949114685039,False,False
346,346_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4625,10.000000000000000000000000000000,0.022749818621797732870470909461,False,False
347,347_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,379,4319,0.001000000000000000020816681712,0.009558103402452411759271377889,True,False
348,348_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,880,3358,7.151784399624551369356595387217,0.009977871289348580821632062055,True,False
349,349_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,299,1945,8.132177974282067012268271355424,0.010317530444219040128284170521,True,False
350,350_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1575.000000000000000000000000000000,2304,432,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
351,351_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,718.000000000000000000000000000000,1,2495,9.430187874643431555909955932293,0.046530842287218592001618588938,True,True
352,352_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,737.000000000000000000000000000000,1,2600,8.265260918063106032604991924018,0.050000000000000002775557561563,False,True
353,353_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,627.000000000000000000000000000000,1,2733,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
354,354_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1007.000000000000000000000000000000,1,2625,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
355,355_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1280.000000000000000000000000000000,2957,961,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
356,356_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,845.000000000000000000000000000000,1,2293,10.000000000000000000000000000000,0.033921094527357677217427323058,True,True
357,357_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2135,2,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
358,358_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,809.000000000000000000000000000000,1,2952,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
359,359_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,420.000000000000000000000000000000,1,3178,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
360,360_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,763.000000000000000000000000000000,1,2328,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
361,361_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,977.000000000000000000000000000000,2465,757,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
362,362_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,491.000000000000000000000000000000,3168,4075,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
363,363_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,820.000000000000000000000000000000,1,2197,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
364,364_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,947.000000000000000000000000000000,1,2757,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
365,365_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,908.000000000000000000000000000000,2602,1007,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
366,366_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1209.000000000000000000000000000000,3240,939,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
367,367_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,910.000000000000000000000000000000,1,2935,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
368,368_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1554,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
369,369_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,501.000000000000000000000000000000,1,3378,9.784309969166248066585467313416,0.050000000000000002775557561563,False,True
370,370_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1202.000000000000000000000000000000,2716,923,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
371,371_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,628.000000000000000000000000000000,1,2475,3.674520740473480984178422659170,0.050000000000000002775557561563,True,True
372,372_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,564.000000000000000000000000000000,1,2141,7.443519299342515438411282957532,0.050000000000000002775557561563,False,True
373,373_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,890.000000000000000000000000000000,1,2757,8.306413204614827350269479211420,0.037693820373461264794379133036,False,True
374,374_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,568.000000000000000000000000000000,1,2159,0.364210349836155966585238275002,0.050000000000000002775557561563,True,True
375,375_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,358.000000000000000000000000000000,1,3088,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
376,376_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,633.000000000000000000000000000000,1,2757,10.000000000000000000000000000000,0.039616130023272584648186267486,True,True
377,377_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.038086068469820946735815425654,True,False
378,378_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,421.000000000000000000000000000000,1,3382,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
379,379_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,928.000000000000000000000000000000,1,2152,1.156326010000397586097165003594,0.032181845905478720371029055514,True,True
380,380_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,887.000000000000000000000000000000,1,2257,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
381,381_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,910.000000000000000000000000000000,1,2475,2.936802021581483401746481831651,0.039596391256542913528182481286,False,True
382,382_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,930.000000000000000000000000000000,1,2625,0.001000000000000000020816681712,0.038926160547017231439159701267,True,True
383,383_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,608.000000000000000000000000000000,3254,4407,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
384,384_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,802.000000000000000000000000000000,1,2020,10.000000000000000000000000000000,0.031506948929971231865287961682,True,True
385,385_0,FAILED,BoTorch,BOTORCH_MODULAR,,,542,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
386,386_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1046.000000000000000000000000000000,1,2515,10.000000000000000000000000000000,0.034360950617511556992589305537,False,True
387,387_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1148.000000000000000000000000000000,2194,602,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
388,388_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,598.000000000000000000000000000000,1,2515,10.000000000000000000000000000000,0.035477105289116558917150712205,True,True
389,389_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,976.000000000000000000000000000000,1,2456,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
390,390_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,975.000000000000000000000000000000,1,2449,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
391,391_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,622.000000000000000000000000000000,1,3778,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
392,392_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,622.000000000000000000000000000000,1,5000,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
393,393_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1009.000000000000000000000000000000,1,2731,5.205248112514340164125314913690,0.050000000000000002775557561563,True,True
394,394_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,953.000000000000000000000000000000,1,2328,10.000000000000000000000000000000,0.025391716528562664062507181484,True,True
395,395_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,922.000000000000000000000000000000,1,2968,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
396,396_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1010.000000000000000000000000000000,1,2715,4.328654589318191803215540858218,0.050000000000000002775557561563,False,True
397,397_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,641.000000000000000000000000000000,1,2700,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
398,398_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.022067071930725604828049668527,True,False
399,399_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2670,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
400,400_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2336.000000000000000000000000000000,3375,280,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
401,401_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,335,9.721004011416342294182868499774,0.017825753421146985078227231725,False,False
402,402_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,288,9.986235672782004968439650838263,0.023666956481674210344134934303,False,False
403,403_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3547.000000000000000000000000000000,3375,280,10.000000000000000000000000000000,0.046597401613757950811223196297,False,True
404,404_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,169,1.639488705148509417597324500093,0.041646940054389278151880660062,False,False
405,405_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,179,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
406,406_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.830000000000000071054273576010,1257.000000000000000000000000000000,3468,215,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
407,407_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3026.000000000000000000000000000000,3483,335,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
408,408_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3064.000000000000000000000000000000,1,277,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
409,409_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,202,10.000000000000000000000000000000,0.036245308677333956670629788732,False,False
410,410_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,6.000000000000000000000000000000,1,202,10.000000000000000000000000000000,0.039573161553847387150728565075,True,False
411,411_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1480.000000000000000000000000000000,3502,227,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
412,412_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,173,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
413,413_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4139.000000000000000000000000000000,3375,280,10.000000000000000000000000000000,0.039098648265547111813056346818,True,True
414,414_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3384.000000000000000000000000000000,3476,371,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
415,415_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,948,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
416,416_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,594.000000000000000000000000000000,5000,3729,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
417,417_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,8.000000000000000000000000000000,1,156,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
418,418_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,950,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
419,419_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1064.000000000000000000000000000000,3690,259,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
420,420_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,564.000000000000000000000000000000,5000,3742,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
421,421_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.830000000000000071054273576010,2.000000000000000000000000000000,1,225,0.001000000000000000020816681712,0.030252446665455068330885524119,False,False
422,422_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.830000000000000071054273576010,1076.000000000000000000000000000000,3513,220,10.000000000000000000000000000000,0.044050876358458203319035106915,True,True
423,423_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1255.000000000000000000000000000000,5000,1466,10.000000000000000000000000000000,0.000500000000000000010408340856,True,True
424,424_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3702,4.976274131274357692689136456465,0.000500000000000000010408340856,True,False
425,425_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3511.000000000000000000000000000000,3355,293,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
426,426_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1659.000000000000000000000000000000,3690,259,10.000000000000000000000000000000,0.037778065988636588823368356316,False,True
427,427_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3548.000000000000000000000000000000,3483,335,10.000000000000000000000000000000,0.041427859362353242067555925132,True,True
428,428_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,791.000000000000000000000000000000,5000,1471,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
429,429_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,342.000000000000000000000000000000,4991,3578,9.999144367498306706920629949309,0.031360248122057163278064706446,False,True
430,430_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3604.000000000000000000000000000000,5000,301,10.000000000000000000000000000000,0.035966295312900423142288275358,True,True
431,431_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1259.000000000000000000000000000000,4272,588,10.000000000000000000000000000000,0.040715322931936935579866343460,True,True
432,432_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.830000000000000071054273576010,2.000000000000000000000000000000,1,258,0.001000000000000000020816681712,0.024634121534364207539713476081,True,False
433,433_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1629.000000000000000000000000000000,3993,351,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
434,434_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1504.000000000000000000000000000000,3834,428,10.000000000000000000000000000000,0.038461237131593481453073479770,False,True
435,435_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3772,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
436,436_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3336.000000000000000000000000000000,2226,272,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
437,437_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1624.000000000000000000000000000000,5000,745,0.001000000000000000020816681712,0.023325023077101953578038617820,True,True
438,438_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2390.000000000000000000000000000000,3611,285,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
439,439_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,496.000000000000000000000000000000,5000,3567,10.000000000000000000000000000000,0.000500000000000000010408340856,True,True
440,440_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3310.000000000000000000000000000000,3611,314,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
441,441_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,508.000000000000000000000000000000,5000,3585,0.001000000000000000020816681712,0.015754927733323601662940305346,False,True
442,442_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1284.000000000000000000000000000000,5000,1481,0.001000000000000000020816681712,0.024376955215588937825321735886,False,True
443,443_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,516.000000000000000000000000000000,5000,3343,0.001000000000000000020816681712,0.000500000000000000010408340856,False,True
444,444_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2631.000000000000000000000000000000,1,360,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
445,445_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,803.000000000000000000000000000000,4138,1464,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
446,446_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3977.000000000000000000000000000000,3281,245,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
447,447_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1120.000000000000000000000000000000,2244,1508,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
448,448_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2997.000000000000000000000000000000,1,280,10.000000000000000000000000000000,0.000500000000000000010408340856,True,True
449,449_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1417.000000000000000000000000000000,5000,608,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
450,450_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1330,458,10.000000000000000000000000000000,0.023033271451720335742940903856,False,False
451,451_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,4172,458,8.905916379255760517708040424623,0.016196635985520964340356186995,True,False
452,452_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,1330,462,10.000000000000000000000000000000,0.027038945264323537009953923871,True,False
453,453_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,2890,536,0.001000000000000000020816681712,0.015518662657147973965576781552,False,False
454,454_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1803,2,10.000000000000000000000000000000,0.012397484256365963461998802586,True,False
455,455_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.830000000000000071054273576010,3.000000000000000000000000000000,2890,512,0.001000000000000000020816681712,0.019269734912011837746348419387,True,False
456,456_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,625,2919,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
457,457_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,445,2540,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
458,458_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,8.000000000000000000000000000000,3258,397,4.515141525279654288738129253034,0.010809968507893582753687233833,True,False
459,459_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,3254,4409,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
460,460_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,450.000000000000000000000000000000,4365,4676,0.001001387238482507246670194512,0.005568327076684868176537079876,True,True
461,461_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,4761,2266,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
462,462_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,5.000000000000000000000000000000,5000,275,10.000000000000000000000000000000,0.009404164507571324826962211318,True,False
463,463_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1319,878,0.001000000000000000020816681712,0.037401110756632660603315798653,True,False
464,464_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,156,10.000000000000000000000000000000,0.007613312709292632991797677988,False,False
465,465_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,2369,3938,10.000000000000000000000000000000,0.043529662730555106209262561379,True,False
466,466_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,301.000000000000000000000000000000,3748,4660,10.000000000000000000000000000000,0.007786193178611962306678861978,True,True
467,467_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,2434,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
468,468_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,8.000000000000000000000000000000,1,156,10.000000000000000000000000000000,0.003794832527567047926464471885,True,False
469,469_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,2963,0.001000000000000000020816681712,0.003911773835624502218544229493,True,False
470,470_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1155,3235,10.000000000000000000000000000000,0.045848973455267227894438519797,False,False
471,471_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,2263,7.483319116705504647768520953832,0.000500000000000000010408340856,True,False
472,472_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3196,4352,1.605896075084302099256206020073,0.000500000000000000010408340856,False,False
473,473_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,420.000000000000000000000000000000,1,4555,10.000000000000000000000000000000,0.009141013593077295523725567250,False,True
474,474_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,301.000000000000000000000000000000,13,4761,10.000000000000000000000000000000,0.000866635060351390916835723210,True,True
475,475_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,379,4319,0.001000000000000000020816681712,0.028916789246036609523082816509,False,False
476,476_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1155,3291,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
477,477_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1330,462,10.000000000000000000000000000000,0.029661293020262134018105726341,False,False
478,478_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,1715,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
479,479_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,2860,1.467005029573109853302526062180,0.000500000000000000010408340856,False,False
480,480_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1319,878,0.001000000000000000020816681712,0.035838463786253098308787201631,False,False
481,481_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3382,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
482,482_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,458,2901,10.000000000000000000000000000000,0.015308004250950918087581520410,True,False
483,483_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.820000000000000062172489379009,1.000000000000000000000000000000,2890,512,0.001000000000000000020816681712,0.010235983689093399243152937572,False,False
484,484_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1906,4050,0.001014204758554889795191256141,0.019869241194021634855371161166,False,False
485,485_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,5.000000000000000000000000000000,4272,576,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
486,486_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3666,3430,10.000000000000000000000000000000,0.041872610683558700306328148599,False,False
487,487_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,950,10.000000000000000000000000000000,0.031505039573247663187149925079,False,False
488,488_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,185,10.000000000000000000000000000000,0.000725505237798963992061629380,False,False
489,489_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,616,2797,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
490,490_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4274,528,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
491,491_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,4743,3962,10.000000000000000000000000000000,0.048341398572769721242448071052,True,False
492,492_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,238,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
493,493_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,842,1205,0.001000000000000000020816681712,0.018546389176331126713570540687,True,False
494,494_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2293,3535,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
495,495_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,430.000000000000000000000000000000,3748,4680,9.170991775967934245272772386670,0.000842741572319541300956080576,False,True
496,496_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2499,2817,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
497,497_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1454,1305,10.000000000000000000000000000000,0.036357775600582606378985417450,False,False
498,498_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4761,2275,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
499,499_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1103.000000000000000000000000000000,1,1283,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
500,500_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,431.000000000000000000000000000000,509,5000,3.712690708097447611635288922116,0.000500000000000000010408340856,False,True
501,501_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4743,2,2.530636584414214684812804989633,0.000500000000000000010408340856,True,False
502,502_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2089,2,5.260601002616885679685765353497,0.050000000000000002775557561563,True,False
503,503_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,2.321362287838997229272308686632,0.000500000000000000010408340856,True,False
504,504_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,478.000000000000000000000000000000,5000,5000,5.940709753573239382262727303896,0.050000000000000002775557561563,False,True
505,505_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,2.227641464615276678529198761680,0.000500000000000000010408340856,True,False
506,506_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,4.421630249819298086322305607609,0.050000000000000002775557561563,True,False
507,507_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,11.000000000000000000000000000000,5000,2,6.215418889755293996302043524338,0.000500000000000000010408340856,False,False
508,508_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,2.244722225937755055724664998706,0.000500000000000000010408340856,True,False
509,509_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,10.000000000000000000000000000000,2301,2,2.441008353580165213259078882402,0.050000000000000002775557561563,False,False
510,510_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2301,2,2.359055700649297815374438869185,0.000500000000000000010408340856,True,False
511,511_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,418.000000000000000000000000000000,1,5000,6.770233623799364330864136718446,0.000500000000000000010408340856,False,True
512,512_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,2.286893481896159485700081859250,0.000500000000000000010408340856,True,False
513,513_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,2.614712605739925255221578481724,0.000500000000000000010408340856,True,False
514,514_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2301,2,2.257957826712969851001844290295,0.000500000000000000010408340856,True,False
515,515_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4343.000000000000000000000000000000,1,17,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
516,516_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1745.000000000000000000000000000000,23,602,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
517,517_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,736.000000000000000000000000000000,1,1872,0.001000000000000000020816681712,0.000500000000000000010408340856,False,True
518,518_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,529.000000000000000000000000000000,1677,1721,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
519,519_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2301,2,2.393263658550755845766389029450,0.000500000000000000010408340856,True,False
520,520_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2301,2,2.431178801140357670362845965428,0.000500000000000000010408340856,True,False
521,521_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,6.544673514387998380925637320615,0.000500000000000000010408340856,True,False
522,522_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,2.245445865774183591412338500959,0.000500000000000000010408340856,True,False
523,523_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,6.433341395913116045335300441366,0.050000000000000002775557561563,True,False
524,524_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2301,2,2.551116351792049652402738502133,0.000500000000000000010408340856,True,False
525,525_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,2449,6.441991608886563192015728418482,0.050000000000000002775557561563,True,False
526,526_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,2.401256193931909255212531206780,0.000500000000000000010408340856,True,False
527,527_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,7.000000000000000000000000000000,1,169,2.092944616573793048530660598772,0.000500000000000000010408340856,True,False
528,528_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1006,219,7.705200175762711545246474997839,0.000500000000000000010408340856,False,False
529,529_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,467.000000000000000000000000000000,5000,5000,2.402990548112747593023641456966,0.050000000000000002775557561563,False,True
530,530_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,4.317793709571692062354486552067,0.050000000000000002775557561563,True,False
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,461.000000000000000000000000000000,3702,4119,2.085143992273119195601793762762,0.000500000000000000010408340856,False,True
532,532_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,195,1568,7.236158646250607340277838375187,0.050000000000000002775557561563,False,False
533,533_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,5.648106927466539417537205736153,0.050000000000000002775557561563,True,False
534,534_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,7,4832,8.351738640490937726212905545253,0.050000000000000002775557561563,False,False
535,535_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4174,7.611446878265197391044694086304,0.000500000000000000010408340856,False,False
536,536_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,4.448066331619550339837587671354,0.050000000000000002775557561563,True,False
537,537_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,3.037165758722715658279867056990,0.000500000000000000010408340856,True,False
538,538_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,6.075784495629873660504927102011,0.050000000000000002775557561563,True,False
539,539_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,4.610449569075218079206024412997,0.050000000000000002775557561563,True,False
540,540_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,4.525615302434019326938141603023,0.050000000000000002775557561563,True,False
541,541_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,330.000000000000000000000000000000,1,3708,4.874976926073303573616612993646,0.000500000000000000010408340856,True,True
542,542_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1759,1552,1.728432891393710590932641935069,0.000500000000000000010408340856,True,False
543,543_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,409.000000000000000000000000000000,1,5000,0.001000000000000000020816681712,0.033676539802591262673381322656,True,True
544,544_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,5.885258314088795295049294509226,0.050000000000000002775557561563,True,False
545,545_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,2454,1.741615079339997373963910831662,0.000500000000000000010408340856,True,False
546,546_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,23.000000000000000000000000000000,1069,25,4.006676603179264439802409469848,0.050000000000000002775557561563,True,False
547,547_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,457.000000000000000000000000000000,3715,3848,6.941952412841918551578146434622,0.050000000000000002775557561563,False,True
548,548_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,7.000000000000000000000000000000,5000,2,6.135331193456098120009301055688,0.050000000000000002775557561563,False,False
549,549_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,556.000000000000000000000000000000,5000,5000,4.743294069941400792345120862592,0.050000000000000002775557561563,True,True
550,550_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,6.630876490183054805527262942633,0.019797495389640776264350563451,True,False
551,551_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4325,815,8.125679095199499712975921283942,0.050000000000000002775557561563,False,False
552,552_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,5000,7.680499198639446412073539249832,0.049890996029383918863864266768,True,False
553,553_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2301,2,2.662609917012292992666289137560,0.000500000000000000010408340856,True,False
554,554_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,318.000000000000000000000000000000,4921,4991,7.937645610413022190243736986304,0.046016247187669258311704112430,False,True
555,555_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,3.070921476407400874109043797944,0.000500000000000000010408340856,True,False
556,556_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1897,1739,1.944446114275963699569160780811,0.016654753451008964121315969464,False,False
557,557_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1069,27,2.765981399956371156179102399619,0.017064438862002973690268348150,False,False
558,558_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,460.000000000000000000000000000000,1602,5000,1.438025281296044566303748979408,0.000500000000000000010408340856,True,True
559,559_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.484432196121140634659241186455,0.000500000000000000010408340856,True,False
560,560_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,337.000000000000000000000000000000,4901,4335,5.155258212109782967047522106441,0.000500000000000000010408340856,True,True
561,561_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,432.000000000000000000000000000000,4931,3418,3.656384041410412066852586576715,0.050000000000000002775557561563,False,True
562,562_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,873.000000000000000000000000000000,1,1347,8.243215445900572646564796741586,0.050000000000000002775557561563,False,True
563,563_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,376.000000000000000000000000000000,1297,4197,10.000000000000000000000000000000,0.000500000000000000010408340856,True,True
564,564_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,986.000000000000000000000000000000,1,1283,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
565,565_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,757.000000000000000000000000000000,437,2922,6.872952390788471532800940622110,0.028537979299935352373029928685,True,True
566,566_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2457,2,1.769697117882147230361056244874,0.000500000000000000010408340856,True,False
567,567_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,784.000000000000000000000000000000,3163,1829,2.889134501275701261135964159621,0.000500000000000000010408340856,True,True
568,568_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,484.000000000000000000000000000000,465,4055,4.646281536678003476481535471976,0.050000000000000002775557561563,False,True
569,569_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4901,4335,5.051301789249976970097577577690,0.050000000000000002775557561563,True,False
570,570_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,668,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
571,571_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,627.000000000000000000000000000000,1283,4566,7.127932276997113625327529007336,0.000500000000000000010408340856,True,True
572,572_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2287.000000000000000000000000000000,1,339,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
573,573_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,6.000000000000000000000000000000,3622,261,3.375277559583159003864238911774,0.000500000000000000010408340856,True,False
574,574_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,5000,7.850010777611136525422352860915,0.000500000000000000010408340856,True,False
575,575_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1100.000000000000000000000000000000,617,2833,0.001000000000000000020816681712,0.000500000000000000010408340856,False,True
576,576_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,337.000000000000000000000000000000,5000,5000,0.001000000000000000020816681712,0.000500000000000000010408340856,False,True
577,577_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3760,6.419050969433046205381288018543,0.050000000000000002775557561563,False,False
578,578_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,678.000000000000000000000000000000,3598,1630,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
579,579_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,5000,0.001000000000000000020816681712,0.017291417839175333287515812231,False,False
580,580_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,5000,7.269024625154917984559688193258,0.000500000000000000010408340856,False,False
581,581_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,479.000000000000000000000000000000,1408,4936,7.448232089326173976928657793906,0.019117425271645872852932512842,True,True
582,582_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,478.000000000000000000000000000000,1,5000,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
583,583_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,7.015081996350557957953242294025,0.000500000000000000010408340856,True,False
584,584_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,5.307518123508031315793687099358,0.040936684011678201033923585328,True,False
585,585_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1759,1552,2.142559651608614501583360834047,0.050000000000000002775557561563,False,False
586,586_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,545.000000000000000000000000000000,1,5000,7.756247164258612158960204396863,0.050000000000000002775557561563,True,True
587,587_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,5.394584806770212459525737358490,0.000500000000000000010408340856,True,False
588,588_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,304,1511,7.276271465153464568231811426813,0.050000000000000002775557561563,True,False
589,589_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,6.171980742915164519502013718011,0.000500000000000000010408340856,True,False
590,590_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,5.487680765290568807301951892441,0.050000000000000002775557561563,True,False
591,591_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2301,2,2.530561616231596921977597958175,0.000500000000000000010408340856,True,False
592,592_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,3.736983303311396387158538345830,0.036235972043438313683338947158,True,False
593,593_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,7.207078424581411901783667417476,0.000500000000000000010408340856,True,False
594,594_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,418.000000000000000000000000000000,5000,5000,3.149000568662019272636598543613,0.000500000000000000010408340856,True,True
595,595_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,3398,3131,0.001000000000000000020816681712,0.037691383879267292833503688598,True,False
596,596_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,4.563116348358827956133154657437,0.029283116001281774692932557969,True,False
597,597_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,5.666578893166287045346507511567,0.000500000000000000010408340856,True,False
598,598_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,3.077956935074662059292904814356,0.000500000000000000010408340856,True,False
599,599_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,313.000000000000000000000000000000,1025,3264,3.401518571853499040003043774050,0.000500000000000000010408340856,False,True
600,600_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,6.274221385619877189299131714506,0.000500000000000000010408340856,True,False
601,601_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,460.000000000000000000000000000000,1,5000,1.210506343899413472797732538311,0.050000000000000002775557561563,True,True
602,602_0,FAILED,BoTorch,BOTORCH_MODULAR,,,712,2,3.089607090168384306849702625186,0.000500000000000000010408340856,True,False
603,603_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,3708,5.094430305791707525031597469933,0.045012962556531789515279484704,True,False
604,604_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,5.880100087510821360581303451909,0.000500000000000000010408340856,True,False
605,605_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,2.830740038818429393785436332109,0.050000000000000002775557561563,False,False
606,606_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,338.000000000000000000000000000000,1,5000,0.001000000000000000020816681712,0.030283978655644343963571074596,False,True
607,607_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,3.312750511441367340381702888408,0.000500000000000000010408340856,True,False
608,608_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,4.893155279080017017179216054501,0.028548055807287302243491211584,True,False
609,609_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,481.000000000000000000000000000000,593,4922,6.548486426654944736469587951433,0.036068554002911187850166641056,False,True
610,610_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,4808,1401,2.715179610275549659803573376848,0.000500000000000000010408340856,True,False
611,611_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,4.320337414478686355323588941246,0.029311138793364933247120873716,True,False
612,612_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,5.692672012315808771631964191329,0.050000000000000002775557561563,True,False
613,613_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,4.569823426589355364058064878918,0.030670283211597180322849354184,True,False
614,614_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,3.042259593177769172456237356528,0.000500000000000000010408340856,True,False
615,615_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,728.000000000000000000000000000000,304,1511,7.163593226268080371710311737843,0.000500000000000000010408340856,True,True
616,616_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,6.033862960635970829059715470066,0.050000000000000002775557561563,True,False
617,617_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,6.000000000000000000000000000000,1006,219,7.193615886138802650862089649308,0.000500000000000000010408340856,True,False
618,618_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,6.327168974376117915880968212150,0.050000000000000002775557561563,True,False
619,619_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,3.221972973706497267443182863644,0.000500000000000000010408340856,True,False
620,620_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,5000,9.324076958271415804802018101327,0.036643011813152354116951414653,True,False
621,621_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3778,0.001000000000000000020816681712,0.021428075040348524421540687968,True,False
622,622_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,2.200787453636993351580031230696,0.000500000000000000010408340856,True,False
623,623_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,4753,727,6.090980405976962330782953358721,0.000500000000000000010408340856,True,False
624,624_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3394,1833,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
625,625_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,423.000000000000000000000000000000,2550,3567,7.010929503011728236572253081249,0.050000000000000002775557561563,False,True
626,626_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,2.651140639055901360165989899542,0.000500000000000000010408340856,True,False
627,627_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,364.000000000000000000000000000000,5000,3101,0.001000000000000000020816681712,0.000500000000000000010408340856,False,True
628,628_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,626.000000000000000000000000000000,3533,2009,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
629,629_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,719.000000000000000000000000000000,406,1974,4.291734484786593029070900229272,0.000500000000000000010408340856,True,True
630,630_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1150.000000000000000000000000000000,204,688,4.987848043615697335440017923247,0.050000000000000002775557561563,True,True
631,631_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,402.000000000000000000000000000000,3821,4448,4.494811670665455949347233399749,0.050000000000000002775557561563,False,True
632,632_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,1265,6.322307439103911796962620428530,0.050000000000000002775557561563,False,False
633,633_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4496,8.223321959259825675303545722272,0.050000000000000002775557561563,False,False
634,634_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1037.000000000000000000000000000000,842,1188,0.001000000000000000020816681712,0.000500000000000000010408340856,False,True
635,635_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1122.000000000000000000000000000000,677,891,3.143977472567321740370971383527,0.050000000000000002775557561563,True,True
636,636_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,880.000000000000000000000000000000,5000,1135,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
637,637_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,487.000000000000000000000000000000,1,4894,0.333896147613101768047982886856,0.050000000000000002775557561563,True,True
638,638_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,3637,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
639,639_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,2651,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
640,640_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,381.000000000000000000000000000000,4976,4250,4.649428834779114616537754045567,0.000500000000000000010408340856,False,True
641,641_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,418.000000000000000000000000000000,1155,3221,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
642,642_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,3951,1690,6.108516845044984933110754354857,0.050000000000000002775557561563,True,False
643,643_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2309,2,2.592721943144155272165107817273,0.050000000000000002775557561563,True,False
644,644_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,441.000000000000000000000000000000,5000,4452,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
645,645_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,785,4818,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
646,646_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,746.000000000000000000000000000000,5000,1617,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
647,647_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,971.000000000000000000000000000000,734,1044,5.415013795959674247626480791951,0.050000000000000002775557561563,False,True
648,648_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,638.000000000000000000000000000000,2191,2420,6.920747569815920208213810838060,0.050000000000000002775557561563,True,True
649,649_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,700.000000000000000000000000000000,4995,1120,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
650,650_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,549.000000000000000000000000000000,3226,3453,10.000000000000000000000000000000,0.000500000000000000010408340856,True,True
651,651_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4904,1200,4.170822368958192249976946186507,0.050000000000000002775557561563,False,False
652,652_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,478.000000000000000000000000000000,403,3504,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
653,653_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,2.000000000000000000000000000000,891,1007,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
654,654_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,12.000000000000000000000000000000,3983,98,5.787881117182728019088244764134,0.000500000000000000010408340856,True,False
655,655_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,2.000000000000000000000000000000,891,1019,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
656,656_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,3.000000000000000000000000000000,839,1020,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
657,657_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,497,1.688176730986534535006171608984,0.050000000000000002775557561563,False,False
658,658_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1022,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
659,659_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,2.000000000000000000000000000000,5000,1018,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
660,660_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,3.000000000000000000000000000000,5000,1010,0.001000000000000000020816681712,0.023363444341260038161767198517,True,False
661,661_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,2.000000000000000000000000000000,891,1019,0.001000000000000000020816681712,0.026269565304066842814645355020,False,False
662,662_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,2.000000000000000000000000000000,1,1009,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
663,663_0,FAILED,BoTorch,BOTORCH_MODULAR,,,875,2,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
664,664_0,FAILED,BoTorch,BOTORCH_MODULAR,,,873,2,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
665,665_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,892,2040,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
666,666_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,893,2064,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
667,667_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,3.000000000000000000000000000000,5000,1007,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
668,668_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,870,993,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
669,669_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,864,992,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
670,670_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,3.000000000000000000000000000000,5000,1018,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
671,671_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,2.000000000000000000000000000000,5000,1010,0.001000000000000000020816681712,0.030554337965255591591517969619,False,False
672,672_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,3.000000000000000000000000000000,1,1013,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
673,673_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,2.000000000000000000000000000000,1,1011,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
674,674_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1024,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
675,675_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,3.000000000000000000000000000000,891,1007,0.001000000000000000020816681712,0.031502690206398405170507004414,True,False
676,676_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,2.000000000000000000000000000000,5000,939,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
677,677_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,2.000000000000000000000000000000,1,995,0.001000000000000000020816681712,0.026139027658628820327546549152,False,False
678,678_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,2.000000000000000000000000000000,5000,934,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
679,679_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,2.000000000000000000000000000000,5000,929,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
680,680_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1024,1084,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
681,681_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,3.000000000000000000000000000000,5000,941,0.001000000000000000020816681712,0.021382396698758743269763726857,True,False
682,682_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,5.000000000000000000000000000000,5000,985,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
683,683_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1319,896,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
684,684_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,5000,986,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
685,685_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,995,0.001000000000000000020816681712,0.017493569224256416000384817266,True,False
686,686_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,989,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
687,687_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,1012,3.017717123299449077933331864187,0.050000000000000002775557561563,False,False
688,688_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,2459,982,4.875010843781018010645311733242,0.047907129275637963528033935745,True,False
689,689_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1633,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
690,690_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,987,0.001000000000000000020816681712,0.017488170663437191398870140802,False,False
691,691_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4378,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
692,692_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,2.000000000000000000000000000000,5000,941,0.001000000000000000020816681712,0.027889016967531574803240701499,False,False
693,693_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3665,3454,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
694,694_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.819999999999999951150186916493,2.000000000000000000000000000000,1,52,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
695,695_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,2704,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
696,696_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3250,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
697,697_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3710,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
698,698_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3932,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
699,699_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1024,1107,0.001000000000000000020816681712,0.031455844470692335967942909747,False,False
700,700_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1318,866,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
701,701_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1646,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
702,702_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,1003,2.132657264410167119450534300995,0.000500000000000000010408340856,True,False
703,703_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4059,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
704,704_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4607,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
705,705_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3486,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
706,706_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,4061,2216,6.252092540627375072403992817272,0.050000000000000002775557561563,True,False
707,707_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,4820,2421,10.000000000000000000000000000000,0.040486152959829047048856409674,True,False
708,708_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,1299,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
709,709_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1121,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
710,710_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,35,1771,6.618014536126241686986304557649,0.000805025813236840185292686467,True,False
711,711_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4266,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
712,712_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,3797,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
713,713_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1571,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
714,714_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3167,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
715,715_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,4153,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
716,716_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,2555,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
717,717_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3220,4302,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
718,718_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,986,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
719,719_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,2989,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
720,720_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1119,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
721,721_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,5000,867,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
722,722_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4257,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
723,723_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,1010,1.915263139045742635246938334603,0.050000000000000002775557561563,False,False
724,724_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,389,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
725,725_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,2173,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
726,726_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3157,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
727,727_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,981,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
728,728_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,873,1.030632437916435550917526597914,0.000500000000000000010408340856,False,False
729,729_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,2015,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
730,730_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4433,4591,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
731,731_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,941,1.245256230862085811139650104451,0.020424988393488167220946039038,False,False
732,732_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,5.000000000000000000000000000000,5000,380,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
733,733_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1140,0.001000000000000000020816681712,0.025129722679286464054326799555,False,False
734,734_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,3011,4.990892568482629521042781561846,0.050000000000000002775557561563,True,False
735,735_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,183,2903,2.675690598788110996508748939959,0.000500000000000000010408340856,True,False
736,736_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1109,448,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
737,737_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,5000,853,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
738,738_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,2600,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
739,739_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,1075,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
740,740_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3785,4808,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
741,741_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1010,1.713226793245143930732865555910,0.050000000000000002775557561563,True,False
742,742_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,2177,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
743,743_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,3886,10.000000000000000000000000000000,0.033370600945504570733479710043,True,False
744,744_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4434,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
745,745_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4761,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
746,746_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,333,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
747,747_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1280,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
748,748_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4084,3455,4.634256367406284660148685361492,0.050000000000000002775557561563,False,False
749,749_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,4801,1352,5.739009154793450306897284463048,0.000500000000000000010408340856,True,False
750,750_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1765,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
751,751_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,5000,1487,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
752,752_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1972,10.000000000000000000000000000000,0.003401628259213437029812032719,True,False
753,753_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,891,992,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
754,754_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,4565,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
755,755_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,2.000000000000000000000000000000,1,995,0.001000000000000000020816681712,0.012390448500874106166347310420,False,False
756,756_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,2449,4.662176131049248439808252442162,0.043296825050215051455815284953,False,False
757,757_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3258,396,5.285492059732820102624373248545,0.050000000000000002775557561563,False,False
758,758_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4387,5.715657814827972416082957352046,0.000500000000000000010408340856,False,False
759,759_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,2925,5.630919808927955294564071664354,0.050000000000000002775557561563,True,False
760,760_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3357,3.825743252479762990247991183423,0.050000000000000002775557561563,True,False
761,761_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,365,4061,1.868587438246745335845844238065,0.039701070940996174840620369650,False,False
762,762_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,4.303028484452701363238702469971,0.021782442560658005215046273406,True,False
763,763_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,2308,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
764,764_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,5000,1140,0.001000000000000000020816681712,0.028139943383998399645262722402,True,False
765,765_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,994,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
766,766_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1319,899,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
767,767_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,2.000000000000000000000000000000,1,938,0.988969612805067677108183943346,0.000500000000000000010408340856,False,False
768,768_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3835,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
769,68_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
770,770_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,5.820792039238900095199369388865,0.000500000000000000010408340856,True,False
771,771_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,8.298500086745356441042531514540,0.050000000000000002775557561563,True,False
772,772_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4926,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
773,773_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,4944,3821,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
774,774_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,995,0.001000000000000000020816681712,0.033162843814919872043045501186,True,False
775,775_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,5000,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
776,776_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3354,6.608991318895873767758075700840,0.050000000000000002775557561563,False,False
777,777_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,4870,4.147265821608121072472386003938,0.050000000000000002775557561563,True,False
778,778_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,1825,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
779,779_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,2156,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
780,780_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,1,1584,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
781,781_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,1957,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
782,782_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3246,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
783,783_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,860,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
784,784_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3036,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
785,785_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,1407,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
786,786_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,4766,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
787,787_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,5.893428126568789338080023298971,0.050000000000000002775557561563,True,False
788,788_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3266,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
789,789_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3107,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
790,790_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,1101,10.000000000000000000000000000000,0.026067232419228199974403636929,False,False
791,791_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,2879,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
792,792_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4256,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
793,793_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,563,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
794,794_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,4574,4.700218618366636569305683224229,0.050000000000000002775557561563,True,False
795,795_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,4405,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
796,796_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,2994,6.478116772704632708723693212960,0.023638544466723195730528672698,False,False
797,88_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
798,798_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,5000,2475,0.566831467128920296616456653283,0.000500000000000000010408340856,True,False
799,799_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.625477470508530419834869462647,0.050000000000000002775557561563,True,False
800,800_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4842,2615,3.182741681103837816380064396071,0.050000000000000002775557561563,False,False
801,801_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,921,0.933300342876919986068173784588,0.050000000000000002775557561563,True,False
802,88_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
803,803_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1125,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
804,804_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,3.000000000000000000000000000000,1,938,0.898565057646992793038975833042,0.000500000000000000010408340856,True,False
805,805_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4440,3.345152328008961450933611558867,0.000500000000000000010408340856,True,False
806,806_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,2241,5.629740057844363043670909974026,0.049055131839629957657411551963,False,False
807,807_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,1,1095,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
808,808_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,4675,4,3.423524192342332295169171629823,0.033076241896502545092317859599,False,False
809,809_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,5000,987,4.436268389763509567558230628492,0.000500000000000000010408340856,True,False
810,810_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,938,1.481314649871372512990319592063,0.030795781470745121205512262463,False,False
811,811_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,431,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
812,812_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,2732,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
813,813_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1752,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
814,814_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4902,4340,6.154948603254957184560680616414,0.050000000000000002775557561563,False,False
815,815_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3909,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
816,816_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,2010,9.499408119858323118478438118473,0.043639440247584190823992855712,True,False
817,75_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
818,818_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,28.000000000000000000000000000000,5000,44,10.000000000000000000000000000000,0.028576956256491765906435631450,True,False
819,819_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,5000,677,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
820,820_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3801,7.577804557998531365115013613831,0.050000000000000002775557561563,True,False
821,821_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,2776,5.122314707200072980697314051213,0.004185362336860024012885617140,True,False
822,822_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,897,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
823,823_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3629,312,4.672782598659622976811078842729,0.000500000000000000010408340856,False,False
824,824_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,980,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
825,825_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1010,1.194434358366602833001479666564,0.029895504648196152830408323098,True,False
826,826_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1259,2512,7.688837905808650674543969216757,0.000500000000000000010408340856,False,False
827,75_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
828,828_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,2.661181038148864974601792710018,0.000500000000000000010408340856,False,False
829,829_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3556,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
830,830_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4677,2,4.381008677369334414208879024955,0.050000000000000002775557561563,True,False
831,831_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,2601,9.481056676734961996544370776974,0.050000000000000002775557561563,False,False
832,832_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,3.371014110292412269132000801619,0.006604871407358379672980497332,True,False
833,833_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3991,3573,3.212085270659474467436211853055,0.000500000000000000010408340856,True,False
834,834_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1101,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
835,835_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4383,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
836,836_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,3076,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
837,837_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1327,3460,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
838,838_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,897,0.001000000000000000020816681712,0.023469681211564605294306318228,True,False
839,839_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,5000,679,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
840,840_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,4.263981677352968624461482249899,0.000500000000000000010408340856,True,False
841,841_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,3382,10.000000000000000000000000000000,0.002759878778870734298417355390,True,False
842,842_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,3376,2099,3.932986675049855662678055523429,0.050000000000000002775557561563,True,False
843,843_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,292,2055,3.659913563293518024011063971557,0.000500000000000000010408340856,True,False
844,844_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4480,1.257217510900511925342470931355,0.050000000000000002775557561563,False,False
845,845_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3539,8.305490370464072569234303955454,0.050000000000000002775557561563,False,False
846,846_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3383,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
847,847_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,893,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
848,848_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,5000,2771,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
849,849_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.941779838151367343357378558721,0.050000000000000002775557561563,True,False
850,850_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,2933,4.555811995464638997077599924523,0.000500000000000000010408340856,True,False
851,68_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
852,852_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1812,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
853,853_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1010,1.412621884085796475361007651372,0.000500000000000000010408340856,True,False
854,854_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,343,5.629768962546661370538458868396,0.050000000000000002775557561563,False,False
855,855_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,1595,1.484423613922267515263797577063,0.000500000000000000010408340856,False,False
856,856_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3619,0.001000000000000000020816681712,0.018602351154300998670176880978,False,False
857,857_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.482759216461978279966160698677,0.050000000000000002775557561563,True,False
858,858_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,1254,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
859,859_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3266,0.001000000000000000020816681712,0.040172210534177354990248431932,True,False
860,860_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3935,4776,5.929395262908574437688002944924,0.000500000000000000010408340856,True,False
861,861_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,5.059481938491827257564636965981,0.000500000000000000010408340856,True,False
862,862_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1685,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
863,863_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4359,3219,0.001000000000000000020816681712,0.015396794907522291795398672321,False,False
864,864_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,10,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
865,865_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4861,2259,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
866,866_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4852,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
867,88_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
868,868_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4675,4,2.309915118119461485690635527135,0.041634702736696831137930274735,True,False
869,869_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,4764,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
870,870_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,3.730134089067611569134896853939,0.000500000000000000010408340856,True,False
871,871_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4712,3.234803090457244234556810624781,0.050000000000000002775557561563,False,False
872,872_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4574,5.146165043052818077740084845573,0.000500000000000000010408340856,False,False
873,873_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,7.931176330213237868349551717984,0.050000000000000002775557561563,True,False
874,88_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
875,875_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4581,447,7.297426516238290972182767291088,0.000500000000000000010408340856,False,False
876,876_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,4364,7.787061543077332004259005771019,0.000500000000000000010408340856,True,False
877,877_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,2692,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
878,878_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,3670,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
879,879_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,6.556988900723726310104666481493,0.050000000000000002775557561563,True,False
880,880_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,3585,5.586488697974584916039475501748,0.050000000000000002775557561563,True,False
881,881_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,1,411,8.155486758500790855919149180409,0.050000000000000002775557561563,True,False
882,75_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
883,883_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,7.000000000000000000000000000000,1,2,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
884,884_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,2664,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
885,885_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3793,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
886,886_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
887,887_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,3154,992,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
888,888_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,1010,1.897394738651565049281089159194,0.000500000000000000010408340856,False,False
889,889_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1124,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
890,890_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2992,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
891,891_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,3154,988,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
892,892_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4792,2,3.502994008168910156086894858163,0.050000000000000002775557561563,True,False
893,893_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,4944,3822,0.001000000000000000020816681712,0.048012466234296773126555279987,True,False
894,894_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,4581,466,8.233967960587932566340896300972,0.050000000000000002775557561563,True,False
895,895_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,2266,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
896,896_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,2297,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
897,897_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,3154,985,0.001000000000000000020816681712,0.029599600756797135592268688242,True,False
898,898_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3920,3.066321541992478749705242080381,0.050000000000000002775557561563,True,False
899,899_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,9.000000000000000000000000000000,5000,2,3.218102484786426131790904037189,0.000500000000000000010408340856,False,False
900,900_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,884,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
901,901_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,2.973672515371883484647241857601,0.050000000000000002775557561563,True,False
902,902_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2580,3807,6.906941836409282942099707724992,0.000500000000000000010408340856,False,False
903,903_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,4.311061458932245571418206964154,0.050000000000000002775557561563,True,False
904,904_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,5000,0.001000000000000000020816681712,0.031456197874592972674179236492,True,False
905,905_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3700,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
906,906_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,3154,987,0.001000000000000000020816681712,0.026751736006168921194747767345,False,False
907,907_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4491,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
908,908_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,1098,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
909,909_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.547292603715722414392530481564,0.050000000000000002775557561563,True,False
910,910_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,2220,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
911,75_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
912,912_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,3154,980,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
913,913_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4473,8.393662008869508639463674626313,0.050000000000000002775557561563,False,False
914,914_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1648,0.001000000000000000020816681712,0.025095075115241536473087435866,False,False
915,915_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,4610,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
916,916_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,2973,3.964376147897045399304261081852,0.000500000000000000010408340856,False,False
917,917_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,780.000000000000000000000000000000,1,4628,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
918,918_0,FAILED,BoTorch,BOTORCH_MODULAR,,,959,2,3.368135559178438764860175069771,0.000500000000000000010408340856,True,False
919,919_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,5000,877,0.001000000000000000020816681712,0.026990205631589766349653913835,True,False
920,920_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1701,0.872213495227351032212936843280,0.000500000000000000010408340856,False,False
921,921_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,6.539278791063121154536474932684,0.050000000000000002775557561563,True,False
922,922_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1474,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
923,923_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.829999999999999960031971113494,2.000000000000000000000000000000,5000,530,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
924,924_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,2.919324115366902727686237994931,0.050000000000000002775557561563,True,False
925,925_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,5000,364,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
926,926_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,4844,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
927,88_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
928,928_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,2.740825604199522924631082787528,0.050000000000000002775557561563,True,False
929,929_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,2664,5.548363158296254482593212742358,0.050000000000000002775557561563,True,False
930,930_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,479,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
931,931_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,1,1125,0.001000000000000000020816681712,0.022471191135005938455115881425,True,False
932,932_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2267,2924,6.051656423335367129823225695873,0.000500000000000000010408340856,False,False
933,933_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,10.000000000000000000000000000000,1,2,3.345976718324853216302017244743,0.050000000000000002775557561563,False,False
934,934_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.051103501663030126422881949111,0.050000000000000002775557561563,True,False
935,935_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.194540468779810460375756520079,0.000500000000000000010408340856,True,False
936,936_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3441,2.857688642791397448661427915795,0.014807750067259501519645326084,False,False
937,937_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,13,1563,4.796443886270473022648275218671,0.000500000000000000010408340856,True,False
938,938_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1285,9.737079957105963856633934483398,0.000500000000000000010408340856,True,False
939,68_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
940,940_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,5000,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
941,941_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.398740470316515160931203354266,0.008143542935461944159980518521,True,False
942,942_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,5000,1707,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
943,943_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.254810871858108800580566821736,0.050000000000000002775557561563,True,False
944,944_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4670,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
945,945_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3795,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
946,946_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,4.115301829232098640432013780810,0.050000000000000002775557561563,True,False
947,947_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,1238,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
948,948_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.222779959214982170578878140077,0.050000000000000002775557561563,True,False
949,949_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,15,2301,2.747069269092090149086970995995,0.024845600874796210100203808224,True,False
950,950_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.159087007677706004926676541800,0.033255336428453810548866442787,True,False
951,951_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,3153,998,0.001000000000000000020816681712,0.014689504795473946191508574088,True,False
952,952_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,2664,6.511962265811512828861395973945,0.022855267967416433710914347444,True,False
953,953_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.451757759311066653395982939401,0.000500000000000000010408340856,True,False
954,886_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
955,955_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,4.112327243775115270807418710319,0.000500000000000000010408340856,True,False
956,956_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,904,8.696893656357836732695432147011,0.000500000000000000010408340856,False,False
957,957_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,2475,1078,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
958,958_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,4473,4146,5.255002215032614110157282993896,0.000500000000000000010408340856,True,False
959,88_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
960,960_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,41.000000000000000000000000000000,1,28,9.437661482608545426842283632141,0.000500000000000000010408340856,True,False
961,961_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,3545,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
962,962_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,679,10.000000000000000000000000000000,0.005576849341301715230756474995,False,False
963,963_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,4120,6.873437663136771291760851454455,0.050000000000000002775557561563,True,False
964,964_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4902,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
965,965_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.767046382186538977521195192821,0.050000000000000002775557561563,True,False
966,966_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3854,10.000000000000000000000000000000,0.020850450307898359125768905642,False,False
967,967_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,5000,978,3.919575908194490754254957209923,0.050000000000000002775557561563,True,False
968,968_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,4.037339762039201751520067773527,0.050000000000000002775557561563,True,False
969,969_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
970,970_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,3754,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
971,971_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,2088,2398,8.006345069451183960040907550137,0.000500000000000000010408340856,True,False
972,972_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,289,4150,4.670423590176067563106698798947,0.050000000000000002775557561563,False,False
973,88_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
974,974_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.639943292012069786522943104501,0.032221245649437652014412947210,True,False
975,975_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3560,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
976,976_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,2215,4.961632870523199123624635831220,0.050000000000000002775557561563,True,False
977,977_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,1595,6.608866349201179879457868082682,0.000500000000000000010408340856,False,False
978,978_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,3118,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
979,979_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,5.265707327554267180858005303890,0.050000000000000002775557561563,True,False
980,980_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.947777576945644462114159978228,0.050000000000000002775557561563,True,False
981,981_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4095,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
982,982_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,4.235289430536825605599915434141,0.012940867310016096122793349821,True,False
983,983_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1261,1984,10.000000000000000000000000000000,0.030527733227835897322766101070,True,False
984,984_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,2887,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
985,985_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3769,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
986,986_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4848,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
987,987_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,4.635835302272978353244070603978,0.050000000000000002775557561563,True,False
988,988_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4368,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
989,989_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,48,2374,0.001000000000000000020816681712,0.035406743233175975993365369732,False,False
990,990_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,285,1995,8.154990893080359626310382736847,0.050000000000000002775557561563,True,False
991,991_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.999583315273069317186127591413,0.050000000000000002775557561563,True,False
992,992_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,4955,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
993,993_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,10.000000000000000000000000000000,0.004460772760297030195553169563,True,False
994,994_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,3.878336273564185976425733315409,0.000500000000000000010408340856,True,False
995,995_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,5000,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
996,996_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,4.248954738551073972985250293277,0.050000000000000002775557561563,True,False
997,997_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2475,1013,1.747448924996749752835967228748,0.021375735860924845177510889016,False,False
998,998_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4874,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
999,999_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3167,10.000000000000000000000000000000,0.019666815796449205883122957061,True,False
1000,1000_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,34,1771,6.451862844537036068004454136826,0.050000000000000002775557561563,False,False
1001,1001_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3300,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
1002,1002_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2285,3110,3.483920241071781109809535337263,0.050000000000000002775557561563,False,False
1003,1003_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,4562,2286,2.746930041669678690396949605201,0.000500000000000000010408340856,True,False
1004,1004_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.361999288356202875149847386638,0.000500000000000000010408340856,True,False
1005,1005_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,5000,1446,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
1006,1006_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,2453,1127,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
1007,1007_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4750,3215,6.562280421449385059418091259431,0.050000000000000002775557561563,False,False
1008,1008_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4918,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
1009,1009_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,2963,0.001000000000000000020816681712,0.030327518258871328377113130159,False,False
1010,1010_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,2711,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
1011,1011_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4373,4171,0.001000000000000000020816681712,0.012476900788050042725996213733,True,False
1012,1012_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.016845881762502123990543623222,0.050000000000000002775557561563,True,False
1013,1013_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,5000,388,5.131986010327202585301620274549,0.050000000000000002775557561563,True,False
1014,1014_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.669092979995324022013392095687,0.042547873992041594648494395869,True,False
1015,1015_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,9.000000000000000000000000000000,5000,2,4.087348217369330960480056091910,0.050000000000000002775557561563,False,False
1016,1016_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,7.174988242894248635650455980795,0.050000000000000002775557561563,True,False
1017,1017_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,1975,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
1018,1018_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,4724,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False

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Download »oo_errors.txt« as file

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4903361/4903361_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4903479/4903479_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4903572/4903572_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4903782/4903782_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4903883/4903883_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4904107/4904107_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4904311/4904311_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4904540/4904540_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4904754/4904754_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4905491/4905491_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4905903/4905903_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4906002/4906002_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4906105/4906105_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4906186/4906186_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4906279/4906279_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4906514/4906514_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4906998/4906998_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4907355/4907355_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4907692/4907692_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4907811/4907811_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4907933/4907933_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4908059/4908059_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4908287/4908287_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4908743/4908743_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4909463/4909463_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4909757/4909757_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4909935/4909935_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4910286/4910286_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4911218/4911218_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4913485/4913485_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4913615/4913615_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4913977/4913977_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4914223/4914223_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4914330/4914330_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4914432/4914432_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4914527/4914527_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4914647/4914647_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4914954/4914954_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4915096/4915096_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4915189/4915189_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4915463/4915463_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4915668/4915668_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4915931/4915931_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4916278/4916278_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4916389/4916389_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4916755/4916755_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4917386/4917386_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4917508/4917508_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4917636/4917636_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4917883/4917883_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4918162/4918162_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4918300/4918300_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4918901/4918901_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4919938/4919938_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4923534/4923534_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4927178/4927178_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4927292/4927292_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4944720/4944720_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4946171/4946171_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4946358/4946358_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4946592/4946592_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4949981/4949981_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4952114/4952114_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4952509/4952509_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4953172/4953172_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4957454/4957454_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4960006/4960006_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4960844/4960844_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4961260/4961260_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4963243/4963243_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4965557/4965557_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4966023/4966023_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4967572/4967572_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4968568/4968568_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4969270/4969270_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4970033/4970033_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4970321/4970321_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4970876/4970876_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4971610/4971610_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4971874/4971874_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4973388/4973388_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4974324/4974324_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4975452/4975452_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4976435/4976435_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4976909/4976909_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4979223/4979223_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4979747/4979747_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4981445/4981445_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4981990/4981990_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4983813/4983813_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4984637/4984637_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4985410/4985410_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4986180/4986180_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4986429/4986429_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4987992/4987992_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4988210/4988210_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4989207/4989207_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4991228/4991228_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4992895/4992895_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4993667/4993667_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4994126/4994126_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4994620/4994620_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4995356/4995356_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4995618/4995618_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4995807/4995807_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4996831/4996831_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4998512/4998512_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4999328/4999328_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5000622/5000622_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5000868/5000868_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5002442/5002442_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5002809/5002809_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5003259/5003259_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5004981/5004981_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5006513/5006513_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5007203/5007203_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5007571/5007571_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5008200/5008200_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5011004/5011004_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5013719/5013719_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5014436/5014436_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5015252/5015252_0_log.err not found

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Download »job_infos.csv« as file

start_time,end_time,run_time,program_string,recent_samples_size,batch_size,gamma,alpha,use_mmd2,use_k2s_test,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
1746193065,1746193510,445,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 509 batch_size 5000 gamma 3.7126907080974476 alpha 0.0005 use_mmd2 False use_k2s_test True,509,5000,3.7126907080974476,0.0005,False,True,0.84,431,0,None,i7179,431,1326.77734375,1204.6241508152175,-1,0,4903213
1746193635,1746193686,51,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4743 batch_size 2 gamma 2.5306365844142147 alpha 0.0005 use_mmd2 True use_k2s_test False,4743,2,2.5306365844142147,0.0005,True,False,None,None,1,None,i7173,,,,,,4903361
1746194603,1746194629,26,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2 gamma 2.3213622878389972 alpha 0.0005 use_mmd2 True use_k2s_test False,1,2,2.3213622878389972,0.0005,True,False,None,None,1,None,i7172,,,,,,4903572
1746194134,1746194629,495,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2089 batch_size 2 gamma 5.260601002616886 alpha 0.05 use_mmd2 True use_k2s_test False,2089,2,5.260601002616886,0.05,True,False,None,None,1,None,i7172,,,,,,4903479
1746195644,1746195676,32,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2 gamma 2.2276414646152767 alpha 0.0005 use_mmd2 True use_k2s_test False,1,2,2.2276414646152767,0.0005,True,False,None,None,1,None,i7186,,,,,,4903782
1746195184,1746195679,495,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 5000 gamma 5.940709753573239 alpha 0.05 use_mmd2 False use_k2s_test True,5000,5000,5.940709753573239,0.05,False,True,0.84,478,0,None,i7179,478,1332.00390625,1194.64,-1,0,4903690
1746196204,1746196799,595,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 965 batch_size 2 gamma 4.421630249819298 alpha 0.05 use_mmd2 True use_k2s_test False,965,2,4.421630249819298,0.05,True,False,None,None,1,None,i7170,,,,,,4903883
1746196785,1746196811,26,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 6.215418889755294 alpha 0.0005 use_mmd2 False use_k2s_test False,5000,2,6.215418889755294,0.0005,False,False,0.84,11,0,None,i7168,11,750.88671875,750.818359375,-1,0,4903998
1746197363,1746197389,26,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2 gamma 2.244722225937755 alpha 0.0005 use_mmd2 True use_k2s_test False,1,2,2.244722225937755,0.0005,True,False,None,None,1,None,i7167,,,,,,4904107
1746197944,1746197970,26,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2301 batch_size 2 gamma 2.441008353580165 alpha 0.05 use_mmd2 False use_k2s_test False,2301,2,2.441008353580165,0.05,False,False,0.84,10,0,None,i7170,10,750.1484375,750.0286458333334,-1,0.0006618133686300463,4904210
1746198504,1746198536,32,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2301 batch_size 2 gamma 2.359055700649298 alpha 0.0005 use_mmd2 True use_k2s_test False,2301,2,2.359055700649298,0.0005,True,False,None,None,1,None,i7167,,,,,,4904311
1746199084,1746199516,432,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 5000 gamma 6.770233623799364 alpha 0.0005 use_mmd2 False use_k2s_test True,1,5000,6.770233623799364,0.0005,False,True,0.84,418,0,None,i7167,418,1313.7734375,1168.6274857954545,-1,0,4904431
1746199589,1746199622,33,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2 gamma 2.2868934818961595 alpha 0.0005 use_mmd2 True use_k2s_test False,1,2,2.2868934818961595,0.0005,True,False,None,None,1,None,i7164,,,,,,4904540
1746200064,1746200077,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 5000 gamma 2.6147126057399253 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,5000,2.6147126057399253,0.0005,True,False,0.84,1,0,None,i7179,1,757.73046875,752.9440104166666,-1,0,4904648
1746200544,1746200602,58,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2301 batch_size 2 gamma 2.25795782671297 alpha 0.0005 use_mmd2 True use_k2s_test False,2301,2,2.25795782671297,0.0005,True,False,None,None,1,None,i7184,,,,,,4904754
1746202960,1746203710,750,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 1872 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test True,1,1872,0.001,0.0005,False,True,0.84,736,0,None,i7176,736,1332.79296875,1151.6328125,-1,0,4905229
1746202146,1746203901,1755,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 23 batch_size 602 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test True,23,602,0.001,0.05,False,True,0.84,1745,0,None,i7176,1745,1333.76171875,1132.7619394420904,-1,0,4905093
1746203745,1746204288,543,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1677 batch_size 1721 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test True,1677,1721,0.001,0.0005,True,True,0.84,529,0,None,i7174,529,1331.73828125,1149.3956676136363,-1,0,4905377
1746204306,1746204338,32,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2301 batch_size 2 gamma 2.393263658550756 alpha 0.0005 use_mmd2 True use_k2s_test False,2301,2,2.393263658550756,0.0005,True,False,None,None,1,None,i7173,,,,,,4905491
1746201423,1746205776,4353,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 17 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test True,1,17,0.001,0.05,False,True,0.84,4343,0,None,i7176,4343,884.48828125,827.9014209432339,-1,0.011250827266710787,4904964
1746206404,1746206430,26,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2301 batch_size 2 gamma 2.4311788011403577 alpha 0.0005 use_mmd2 True use_k2s_test False,2301,2,2.4311788011403577,0.0005,True,False,None,None,1,None,i7171,,,,,,4905903
1746206924,1746207403,479,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 965 batch_size 2 gamma 6.544673514387998 alpha 0.0005 use_mmd2 True use_k2s_test False,965,2,6.544673514387998,0.0005,True,False,None,None,1,None,i7179,,,,,,4906002
1746207465,1746207491,26,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 965 batch_size 2 gamma 2.2454458657741836 alpha 0.0005 use_mmd2 True use_k2s_test False,965,2,2.2454458657741836,0.0005,True,False,None,None,1,None,i7179,,,,,,4906105
1746208385,1746208425,40,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2301 batch_size 2 gamma 2.5511163517920497 alpha 0.0005 use_mmd2 True use_k2s_test False,2301,2,2.5511163517920497,0.0005,True,False,None,None,1,None,i7180,,,,,,4906279
1746207927,1746208575,648,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 6.433341395913116 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,6.433341395913116,0.05,True,False,None,None,1,None,i7185,,,,,,4906186
1746208865,1746208878,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2449 gamma 6.441991608886563 alpha 0.05 use_mmd2 True use_k2s_test False,1,2449,6.441991608886563,0.05,True,False,0.84,2,0,None,i7179,2,759.6640625,753.64453125,-1,0,4906370
1746209446,1746209478,32,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 2.4012561939319093 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,2,2.4012561939319093,0.0005,True,False,None,None,1,None,i7179,,,,,,4906514
1746209976,1746209995,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 169 gamma 2.092944616573793 alpha 0.0005 use_mmd2 True use_k2s_test False,1,169,2.092944616573793,0.0005,True,False,0.84,7,0,None,i7182,7,768.59375,756.46875,-1,0,4906639
1746210457,1746210470,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1006 batch_size 219 gamma 7.7052001757627115 alpha 0.0005 use_mmd2 False use_k2s_test False,1006,219,7.7052001757627115,0.0005,False,False,0.84,1,0,None,i7178,1,750.28515625,750.2356770833334,-1,0,4906751
1746210967,1746211447,480,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 5000 gamma 2.4029905481127476 alpha 0.05 use_mmd2 False use_k2s_test True,5000,5000,2.4029905481127476,0.05,False,True,0.84,467,0,None,i7184,467,1331.08203125,1212.010044642857,-1,0,4906864
1746211536,1746212066,530,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 965 batch_size 2 gamma 4.317793709571692 alpha 0.05 use_mmd2 True use_k2s_test False,965,2,4.317793709571692,0.05,True,False,None,None,1,None,i7179,,,,,,4906998
1746212067,1746212540,473,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3702 batch_size 4119 gamma 2.085143992273119 alpha 0.0005 use_mmd2 False use_k2s_test True,3702,4119,2.085143992273119,0.0005,False,True,0.84,461,0,None,i7184,461,1334.29296875,1208.8110650510205,-1,0,4907107
1746212547,1746212561,14,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 195 batch_size 1568 gamma 7.236158646250607 alpha 0.05 use_mmd2 False use_k2s_test False,195,1568,7.236158646250607,0.05,False,False,0.84,1,0,None,i7185,1,750.00390625,749.9739583333334,-1,0,4907212
1746213697,1746213710,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 7 batch_size 4832 gamma 8.351738640490938 alpha 0.05 use_mmd2 False use_k2s_test False,7,4832,8.351738640490938,0.05,False,False,0.84,1,0,None,i7180,1,749.63671875,749.5234375,-1,0,4907471
1746213207,1746213826,619,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 5.648106927466539 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,5.648106927466539,0.05,True,False,None,None,1,None,i7185,,,,,,4907355
1746214127,1746214140,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4174 gamma 7.611446878265197 alpha 0.0005 use_mmd2 False use_k2s_test False,1,4174,7.611446878265197,0.0005,False,False,0.84,1,0,None,i7180,1,748.33203125,748.1380208333334,-1,0,4907572
1746215126,1746215161,35,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 965 batch_size 2 gamma 3.0371657587227157 alpha 0.0005 use_mmd2 True use_k2s_test False,965,2,3.0371657587227157,0.0005,True,False,None,None,1,None,i7176,,,,,,4907811
1746214648,1746215272,624,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 965 batch_size 2 gamma 4.44806633161955 alpha 0.05 use_mmd2 True use_k2s_test False,965,2,4.44806633161955,0.05,True,False,None,None,1,None,i7185,,,,,,4907692
1746215648,1746216222,574,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 6.075784495629874 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,6.075784495629874,0.05,True,False,None,None,1,None,i7179,,,,,,4907933
1746216189,1746216696,507,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 965 batch_size 2 gamma 4.610449569075218 alpha 0.05 use_mmd2 True use_k2s_test False,965,2,4.610449569075218,0.05,True,False,None,None,1,None,i7185,,,,,,4908059
1746217171,1746217661,490,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 4.525615302434019 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,4.525615302434019,0.05,True,False,None,None,1,None,i7176,,,,,,4908287
1746217608,1746217952,344,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3708 gamma 4.874976926073304 alpha 0.0005 use_mmd2 True use_k2s_test True,1,3708,4.874976926073304,0.0005,True,True,0.84,330,0,None,i7175,330,1336.44140625,1187.6059151785714,-1,0,4908400
1746218068,1746218081,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1759 batch_size 1552 gamma 1.7284328913937106 alpha 0.0005 use_mmd2 True use_k2s_test False,1759,1552,1.7284328913937106,0.0005,True,False,0.84,2,0,None,i7184,2,759.00390625,753.8606770833334,-1,0,4908497
1746218528,1746218952,424,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 5000 gamma 0.001 alpha 0.03367653980259126 use_mmd2 True use_k2s_test True,1,5000,0.001,0.03367653980259126,True,True,0.84,409,0,None,i7184,409,1322.83203125,1207.9759265988373,-1,0,4908613
1746219473,1746219505,32,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2454 gamma 1.7416150793399974 alpha 0.0005 use_mmd2 True use_k2s_test False,1,2454,1.7416150793399974,0.0005,True,False,0.84,2,0,None,i7173,2,758.765625,753.6822916666666,-1,0,4908848
1746219048,1746219565,517,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 5.885258314088795 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,5.885258314088795,0.05,True,False,None,None,1,None,i7176,,,,,,4908743
1746219937,1746219975,38,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1069 batch_size 25 gamma 4.006676603179264 alpha 0.05 use_mmd2 True use_k2s_test False,1069,25,4.006676603179264,0.05,True,False,0.84,23,0,None,i7173,23,888.5859375,798.10703125,-1,0.00827266710787558,4908962
1746220508,1746220978,470,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3715 batch_size 3848 gamma 6.9419524128419186 alpha 0.05 use_mmd2 False use_k2s_test True,3715,3848,6.9419524128419186,0.05,False,True,0.84,457,0,None,i7173,457,1334.6953125,1203.4884440104167,-1,0,4909102
1746221048,1746221068,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 6.135331193456098 alpha 0.05 use_mmd2 False use_k2s_test False,5000,2,6.135331193456098,0.05,False,False,0.84,7,0,None,i7181,7,750.17578125,750.0729166666666,-1,0,4909232
1746221468,1746222039,571,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 5000 gamma 4.743294069941401 alpha 0.05 use_mmd2 True use_k2s_test True,5000,5000,4.743294069941401,0.05,True,True,0.84,556,0,None,i7173,556,1333.3125,1208.1590113146551,-1,0,4909334
1746222548,1746222561,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4325 batch_size 815 gamma 8.1256790951995 alpha 0.05 use_mmd2 False use_k2s_test False,4325,815,8.1256790951995,0.05,False,False,0.84,1,0,None,i7181,1,750.15234375,750.0833333333334,-1,0,4909568
1746222069,1746222625,556,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 6.630876490183055 alpha 0.019797495389640776 use_mmd2 True use_k2s_test False,5000,2,6.630876490183055,0.019797495389640776,True,False,None,None,1,None,i7184,,,,,,4909463
1746222970,1746222983,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 5000 gamma 7.680499198639446 alpha 0.04989099602938392 use_mmd2 True use_k2s_test False,1,5000,7.680499198639446,0.04989099602938392,True,False,0.84,1,0,None,i7181,1,758.8203125,752.8450520833334,-1,0,4909661
1746223415,1746223453,38,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2301 batch_size 2 gamma 2.662609917012293 alpha 0.0005 use_mmd2 True use_k2s_test False,2301,2,2.662609917012293,0.0005,True,False,None,None,1,None,i7179,,,,,,4909757
1746223893,1746224224,331,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4921 batch_size 4991 gamma 7.937645610413022 alpha 0.04601624718766926 use_mmd2 False use_k2s_test True,4921,4991,7.937645610413022,0.04601624718766926,False,True,0.84,318,0,None,i7176,318,1335.5703125,1201.8167509191176,-1,0,4909855
1746224309,1746224347,38,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 965 batch_size 2 gamma 3.070921476407401 alpha 0.0005 use_mmd2 True use_k2s_test False,965,2,3.070921476407401,0.0005,True,False,None,None,1,None,i7180,,,,,,4909935
1746224736,1746224749,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1897 batch_size 1739 gamma 1.9444461142759637 alpha 0.016654753451008964 use_mmd2 False use_k2s_test False,1897,1739,1.9444461142759637,0.016654753451008964,False,False,0.84,1,0,None,i7176,1,750.7109375,750.6744791666666,-1,0,4910024
1746225050,1746225069,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1069 batch_size 27 gamma 2.765981399956371 alpha 0.017064438862002974 use_mmd2 False use_k2s_test False,1069,27,2.765981399956371,0.017064438862002974,False,False,0.84,1,0,None,i7173,1,749.625,749.49609375,-1,0,4910089
1746225550,1746226021,471,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1602 batch_size 5000 gamma 1.4380252812960446 alpha 0.0005 use_mmd2 True use_k2s_test True,1602,5000,1.4380252812960446,0.0005,True,True,0.84,460,0,None,i7185,460,1330.296875,1204.7255045572917,-1,0,4910196
1746226009,1746226123,114,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 3.4844321961211406 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,2,3.4844321961211406,0.0005,True,False,None,None,1,None,i7176,,,,,,4910286
1746226840,1746227192,352,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4901 batch_size 4335 gamma 5.155258212109783 alpha 0.0005 use_mmd2 True use_k2s_test True,4901,4335,5.155258212109783,0.0005,True,True,0.84,337,0,None,i7174,337,1310.33203125,1166.8797743055557,-1,0,4910472
1746227433,1746227878,445,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4931 batch_size 3418 gamma 3.656384041410412 alpha 0.05 use_mmd2 False use_k2s_test True,4931,3418,3.656384041410412,0.05,False,True,0.84,432,0,None,i7183,432,1328.5703125,1189.1176970108695,-1,0,4910589
1746228215,1746229103,888,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 1347 gamma 8.243215445900573 alpha 0.05 use_mmd2 False use_k2s_test True,1,1347,8.243215445900573,0.05,False,True,0.84,873,0,None,i7183,873,1356.78515625,1156.2328559027778,-1,0,4910740
1746228759,1746229154,395,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1297 batch_size 4197 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test True,1297,4197,10,0.0005,True,True,0.84,376,0,None,i7183,376,1332.09375,1206.5248046875,-1,0,4910846
1746229271,1746230270,999,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 1283 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test True,1,1283,10,0.05,False,True,0.84,986,0,None,i7186,986,1363.3984375,1150.214766398515,-1,0,4910941
1746230609,1746230641,32,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2457 batch_size 2 gamma 1.7696971178821472 alpha 0.0005 use_mmd2 True use_k2s_test False,2457,2,1.7696971178821472,0.0005,True,False,None,None,1,None,i7180,,,,,,4911218
1746229894,1746230665,771,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 437 batch_size 2922 gamma 6.8729523907884715 alpha 0.028537979299935352 use_mmd2 True use_k2s_test True,437,2922,6.8729523907884715,0.028537979299935352,True,True,0.84,757,0,None,i7183,757,1319.13671875,1205.2457932692307,-1,0,4911071
1746231249,1746232049,800,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3163 batch_size 1829 gamma 2.8891345012757013 alpha 0.0005 use_mmd2 True use_k2s_test True,3163,1829,2.8891345012757013,0.0005,True,True,0.84,784,0,None,i7184,784,1326.875,1142.0125868055557,-1,0,4911355
1746231911,1746232412,501,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 465 batch_size 4055 gamma 4.6462815366780035 alpha 0.05 use_mmd2 False use_k2s_test True,465,4055,4.6462815366780035,0.05,False,True,0.84,484,0,None,i7183,484,1337.1328125,1215.970511642157,-1,0,4911508
1746232632,1746232645,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4901 batch_size 4335 gamma 5.051301789249977 alpha 0.05 use_mmd2 True use_k2s_test False,4901,4335,5.051301789249977,0.05,True,False,0.84,1,0,None,i7183,1,758.046875,753.13671875,-1,0,4911669
1746233211,1746233224,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 668 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test False,5000,668,10,0.05,False,False,0.84,1,0,None,i7179,1,749.90234375,749.8177083333334,-1,0,4911796
1746233892,1746234536,644,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1283 batch_size 4566 gamma 7.127932276997114 alpha 0.0005 use_mmd2 True use_k2s_test True,1283,4566,7.127932276997114,0.0005,True,True,0.84,627,0,None,i7184,627,1335.0859375,1216.2581730769232,-1,0,4911947
1746235150,1746235170,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3622 batch_size 261 gamma 3.375277559583159 alpha 0.0005 use_mmd2 True use_k2s_test False,3622,261,3.375277559583159,0.0005,True,False,0.84,6,0,None,i7182,6,767.00390625,755.9791666666666,-1,0,4912237
1746235590,1746235603,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 5000 gamma 7.8500107776111365 alpha 0.0005 use_mmd2 True use_k2s_test False,1,5000,7.8500107776111365,0.0005,True,False,0.84,1,0,None,i7180,1,758.390625,752.2278645833334,-1,0,4912326
1746234629,1746236930,2301,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 339 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test True,1,339,0.001,0.05,True,True,0.84,2287,0,None,i7176,2287,1341.40234375,1084.3367999188313,-1,0,4912122
1746236771,1746237124,353,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 5000 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test True,5000,5000,0.001,0.0005,False,True,0.84,337,0,None,i7174,337,1318.59375,1195.4878472222222,-1,0,4912589
1746237269,1746237282,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3760 gamma 6.419050969433046 alpha 0.05 use_mmd2 False use_k2s_test False,1,3760,6.419050969433046,0.05,False,False,0.84,1,0,None,i7180,1,751.51171875,751.4322916666666,-1,0,4912694
1746236290,1746237403,1113,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 617 batch_size 2833 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test True,617,2833,0.001,0.0005,False,True,0.84,1100,0,None,i7185,1100,1330.34375,1203.158900669643,-1,0,4912480
1746238470,1746238483,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 5000 gamma 0.001 alpha 0.017291417839175333 use_mmd2 False use_k2s_test False,1,5000,0.001,0.017291417839175333,False,False,0.84,1,0,None,i7185,1,749.46484375,749.3515625,-1,0,4912957
1746237871,1746238561,690,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3598 batch_size 1630 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test True,3598,1630,10,0.0005,False,True,0.84,678,0,None,i7180,678,1329.04296875,1142.558203125,-1,0,4912832
1746239083,1746239096,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 5000 gamma 7.269024625154918 alpha 0.0005 use_mmd2 False use_k2s_test False,1,5000,7.269024625154918,0.0005,False,False,0.84,1,0,None,i7183,1,751.515625,751.4544270833334,-1,0,4913103
1746239593,1746240087,494,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1408 batch_size 4936 gamma 7.448232089326174 alpha 0.019117425271645873 use_mmd2 True use_k2s_test True,1408,4936,7.448232089326174,0.019117425271645873,True,True,0.84,479,0,None,i7183,479,1335.88671875,1207.2715625,-1,0,4913211
1746240220,1746240715,495,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 5000 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test True,1,5000,0.001,0.0005,True,True,0.84,478,0,None,i7180,478,1334.11328125,1199.01953125,-1,0,4913357
1746240810,1746241338,528,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 965 batch_size 2 gamma 7.015081996350558 alpha 0.0005 use_mmd2 True use_k2s_test False,965,2,7.015081996350558,0.0005,True,False,None,None,1,None,i7183,,,,,,4913485
1746241893,1746241906,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1759 batch_size 1552 gamma 2.1425596516086145 alpha 0.05 use_mmd2 False use_k2s_test False,1759,1552,2.1425596516086145,0.05,False,False,0.84,1,0,None,i7179,1,749.98828125,749.9244791666666,-1,0,4913727
1746241391,1746242113,722,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 5.307518123508031 alpha 0.0409366840116782 use_mmd2 True use_k2s_test False,5000,2,5.307518123508031,0.0409366840116782,True,False,None,None,1,None,i7185,,,,,,4913615
1746242370,1746242928,558,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 5000 gamma 7.756247164258612 alpha 0.05 use_mmd2 True use_k2s_test True,1,5000,7.756247164258612,0.05,True,True,0.84,545,0,None,i7180,545,1331.67578125,1217.1607730263158,-1,0,4913847
1746242910,1746243407,497,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 5.3945848067702125 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,2,5.3945848067702125,0.0005,True,False,None,None,1,None,i7179,,,,,,4913977
1746243471,1746243490,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 304 batch_size 1511 gamma 7.276271465153465 alpha 0.05 use_mmd2 True use_k2s_test False,304,1511,7.276271465153465,0.05,True,False,0.84,2,0,None,i7178,2,759.32421875,753.3502604166666,-1,0,4914109
1746243991,1746244475,484,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 6.1719807429151645 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,2,6.1719807429151645,0.0005,True,False,None,None,1,None,i7175,,,,,,4914223
1746245054,1746245086,32,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2301 batch_size 2 gamma 2.530561616231597 alpha 0.0005 use_mmd2 True use_k2s_test False,2301,2,2.530561616231597,0.0005,True,False,None,None,1,None,i7181,,,,,,4914432
1746244531,1746245138,607,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 5.487680765290569 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,5.487680765290569,0.05,True,False,None,None,1,None,i7178,,,,,,4914330
1746245532,1746245679,147,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 965 batch_size 2 gamma 3.7369833033113964 alpha 0.036235972043438314 use_mmd2 True use_k2s_test False,965,2,3.7369833033113964,0.036235972043438314,True,False,None,None,1,None,i7174,,,,,,4914527
1746246171,1746246726,555,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 965 batch_size 2 gamma 7.207078424581412 alpha 0.0005 use_mmd2 True use_k2s_test False,965,2,7.207078424581412,0.0005,True,False,None,None,1,None,i7173,,,,,,4914647
1746246701,1746247134,433,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 5000 gamma 3.1490005686620193 alpha 0.0005 use_mmd2 True use_k2s_test True,5000,5000,3.1490005686620193,0.0005,True,True,0.84,418,0,None,i7183,418,1328.875,1203.7260298295455,-1,0,4914743
1746247271,1746247284,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3398 batch_size 3131 gamma 0.001 alpha 0.03769138387926729 use_mmd2 True use_k2s_test False,3398,3131,0.001,0.03769138387926729,True,False,0.84,2,0,None,i7186,2,757.765625,753.0013020833334,-1,0,4914853
1746247781,1746248297,516,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 965 batch_size 2 gamma 4.563116348358828 alpha 0.029283116001281775 use_mmd2 True use_k2s_test False,965,2,4.563116348358828,0.029283116001281775,True,False,None,None,1,None,i7183,,,,,,4914954
1746248561,1746249083,522,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 965 batch_size 2 gamma 5.666578893166287 alpha 0.0005 use_mmd2 True use_k2s_test False,965,2,5.666578893166287,0.0005,True,False,None,None,1,None,i7180,,,,,,4915096
1746249071,1746249110,39,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 965 batch_size 2 gamma 3.077956935074662 alpha 0.0005 use_mmd2 True use_k2s_test False,965,2,3.077956935074662,0.0005,True,False,None,None,1,None,i7185,,,,,,4915189
1746249653,1746249980,327,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1025 batch_size 3264 gamma 3.401518571853499 alpha 0.0005 use_mmd2 False use_k2s_test True,1025,3264,3.401518571853499,0.0005,False,True,0.84,313,0,None,i7185,313,1334.203125,1197.223575367647,-1,0,4915287
1746250536,1746251033,497,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 6.274221385619877 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,2,6.274221385619877,0.0005,True,False,None,None,1,None,i7180,,,,,,4915463
1746251016,1746251492,476,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 5000 gamma 1.2105063438994135 alpha 0.05 use_mmd2 True use_k2s_test True,1,5000,1.2105063438994135,0.05,True,True,0.84,460,0,None,i7183,460,1337.08203125,1220.277587890625,-1,0,4915557
1746251566,1746251610,44,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 712 batch_size 2 gamma 3.0896070901683843 alpha 0.0005 use_mmd2 True use_k2s_test False,712,2,3.0896070901683843,0.0005,True,False,None,None,1,None,i7183,,,,,,4915668
1746252138,1746252157,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3708 gamma 5.0944303057917075 alpha 0.04501296255653179 use_mmd2 True use_k2s_test False,1,3708,5.0944303057917075,0.04501296255653179,True,False,0.84,2,0,None,i7183,2,759.19921875,753.1471354166666,-1,0,4915809
1746252671,1746253163,492,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2 gamma 5.880100087510821 alpha 0.0005 use_mmd2 True use_k2s_test False,1,2,5.880100087510821,0.0005,True,False,None,None,1,None,i7185,,,,,,4915931
1746253173,1746253186,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 5000 gamma 2.8307400388184294 alpha 0.05 use_mmd2 False use_k2s_test False,5000,5000,2.8307400388184294,0.05,False,False,0.84,1,0,None,i7180,1,750.69140625,750.62890625,-1,0,4916050
1746253713,1746254065,352,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 5000 gamma 0.001 alpha 0.030283978655644344 use_mmd2 False use_k2s_test True,1,5000,0.001,0.030283978655644344,False,True,0.84,338,0,None,i7185,338,1330.0234375,1199.2992621527778,-1,0,4916165
1746254253,1746254311,58,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2 gamma 3.3127505114413673 alpha 0.0005 use_mmd2 True use_k2s_test False,1,2,3.3127505114413673,0.0005,True,False,None,None,1,None,i7180,,,,,,4916278
1746254832,1746255368,536,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 965 batch_size 2 gamma 4.893155279080017 alpha 0.028548055807287302 use_mmd2 True use_k2s_test False,965,2,4.893155279080017,0.028548055807287302,True,False,None,None,1,None,i7186,,,,,,4916389
1746255314,1746255809,495,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 593 batch_size 4922 gamma 6.548486426654945 alpha 0.03606855400291119 use_mmd2 False use_k2s_test True,593,4922,6.548486426654945,0.03606855400291119,False,True,0.84,481,0,None,i7179,481,1331.328125,1192.0503982843138,-1,0,4916490
1746255994,1746256007,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4808 batch_size 1401 gamma 2.7151796102755497 alpha 0.0005 use_mmd2 True use_k2s_test False,4808,1401,2.7151796102755497,0.0005,True,False,0.84,3,0,None,i7178,3,774.546875,758.3359375,-1,0,4916633
1746256571,1746257108,537,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 965 batch_size 2 gamma 4.320337414478686 alpha 0.029311138793364933 use_mmd2 True use_k2s_test False,965,2,4.320337414478686,0.029311138793364933,True,False,None,None,1,None,i7176,,,,,,4916755
1746257194,1746257798,604,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2 gamma 5.692672012315809 alpha 0.05 use_mmd2 True use_k2s_test False,1,2,5.692672012315809,0.05,True,False,None,None,1,None,i7175,,,,,,4917386
1746257832,1746258404,572,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 965 batch_size 2 gamma 4.569823426589355 alpha 0.03067028321159718 use_mmd2 True use_k2s_test False,965,2,4.569823426589355,0.03067028321159718,True,False,None,None,1,None,i7175,,,,,,4917508
1746258454,1746258492,38,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 965 batch_size 2 gamma 3.042259593177769 alpha 0.0005 use_mmd2 True use_k2s_test False,965,2,3.042259593177769,0.0005,True,False,None,None,1,None,i7183,,,,,,4917636
1746259092,1746259833,741,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 304 batch_size 1511 gamma 7.16359322626808 alpha 0.0005 use_mmd2 True use_k2s_test True,304,1511,7.16359322626808,0.0005,True,True,0.84,728,0,None,i7179,728,1320.7265625,1127.6734375,-1,0,4917771
1746259632,1746260161,529,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 6.033862960635971 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,6.033862960635971,0.05,True,False,None,None,1,None,i7183,,,,,,4917883
1746260314,1746260333,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1006 batch_size 219 gamma 7.193615886138803 alpha 0.0005 use_mmd2 True use_k2s_test False,1006,219,7.193615886138803,0.0005,True,False,0.84,6,0,None,i7182,6,769.56640625,757.4440104166666,-1,0,4918018
1746260916,1746261513,597,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 6.327168974376118 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,6.327168974376118,0.05,True,False,None,None,1,None,i7184,,,,,,4918162
1746261514,1746261572,58,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 965 batch_size 2 gamma 3.2219729737064973 alpha 0.0005 use_mmd2 True use_k2s_test False,965,2,3.2219729737064973,0.0005,True,False,None,None,1,None,i7185,,,,,,4918300
1746262152,1746262165,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 5000 gamma 9.324076958271416 alpha 0.036643011813152354 use_mmd2 True use_k2s_test False,5000,5000,9.324076958271416,0.036643011813152354,True,False,0.84,2,0,None,i7184,2,758.84375,752.9622395833334,-1,0,4918448
1746262692,1746262706,14,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3778 gamma 0.001 alpha 0.021428075040348524 use_mmd2 True use_k2s_test False,1,3778,0.001,0.021428075040348524,True,False,0.84,1,0,None,i7186,1,757.87890625,753.10546875,-1,0,4918577
1746263434,1746263467,33,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 2.2007874536369934 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,2,2.2007874536369934,0.0005,True,False,None,None,1,None,i7185,,,,,,4918901
1746264134,1746264147,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4753 batch_size 727 gamma 6.090980405976962 alpha 0.0005 use_mmd2 True use_k2s_test False,4753,727,6.090980405976962,0.0005,True,False,0.84,3,0,None,i7166,3,763.32421875,754.1927083333334,-1,0,4919178
1746264914,1746264927,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3394 batch_size 1833 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test False,3394,1833,10,0.0005,False,False,0.84,1,0,None,i7185,1,750.25390625,750.17578125,-1,0,4919392
1746265855,1746266291,436,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2550 batch_size 3567 gamma 7.010929503011728 alpha 0.05 use_mmd2 False use_k2s_test True,2550,3567,7.010929503011728,0.05,False,True,0.84,423,0,None,i7176,423,1296.17578125,1176.3996527777779,-1,0,4919686
1746266614,1746266653,39,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 2.6511406390559014 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,2,2.6511406390559014,0.0005,True,False,None,None,1,None,i7184,,,,,,4919938
1746267376,1746267755,379,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 3101 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test True,5000,3101,0.001,0.0005,False,True,0.84,364,0,None,i7176,364,1327.9453125,1203.8178084935898,-1,0,4920142
1746268134,1746268772,638,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3533 batch_size 2009 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test True,3533,2009,0.001,0.0005,True,True,0.84,626,0,None,i7183,626,1328.98828125,1154.0656850961539,-1,0,4920358
1746268933,1746269664,731,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 406 batch_size 1974 gamma 4.291734484786593 alpha 0.0005 use_mmd2 True use_k2s_test True,406,1974,4.291734484786593,0.0005,True,True,0.84,719,0,None,i7184,719,1329.9375,1146.673828125,-1,0,4920590
1746269635,1746270798,1163,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 204 batch_size 688 gamma 4.987848043615697 alpha 0.05 use_mmd2 True use_k2s_test True,204,688,4.987848043615697,0.05,True,True,0.84,1150,0,None,i7185,1150,1350.390625,1122.904780982906,-1,0,4920777
1746270493,1746270907,414,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3821 batch_size 4448 gamma 4.494811670665456 alpha 0.05 use_mmd2 False use_k2s_test True,3821,4448,4.494811670665456,0.05,False,True,0.84,402,0,None,i7183,402,1334.80078125,1200.64453125,-1,0,4921020
1746271375,1746271388,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 1265 gamma 6.322307439103912 alpha 0.05 use_mmd2 False use_k2s_test False,1,1265,6.322307439103912,0.05,False,False,0.84,1,0,None,i7181,1,748.62109375,748.5638020833334,-1,0,4921281
1746272195,1746272208,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4496 gamma 8.223321959259826 alpha 0.05 use_mmd2 False use_k2s_test False,1,4496,8.223321959259826,0.05,False,False,0.84,1,0,None,i7169,1,749.9921875,749.8411458333334,-1,0,4921535
1746273115,1746274168,1053,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 842 batch_size 1188 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test True,842,1188,0.001,0.0005,False,True,0.84,1037,0,None,i7181,1037,1373.08984375,1153.574955778302,-1,0,4921739
1746273974,1746275107,1133,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 677 batch_size 891 gamma 3.1439774725673217 alpha 0.05 use_mmd2 True use_k2s_test True,677,891,3.1439774725673217,0.05,True,True,0.84,1122,0,None,i7175,1122,1343.12890625,1129.814504076087,-1,0,4921933
1746274694,1746275590,896,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1135 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test True,5000,1135,0.001,0.05,True,True,0.84,880,0,None,i7183,880,1369.0078125,1142.529079861111,-1,0,4922094
1746275581,1746276082,501,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4894 gamma 0.33389614761310177 alpha 0.05 use_mmd2 True use_k2s_test True,1,4894,0.33389614761310177,0.05,True,True,0.84,487,0,None,i7180,487,1333.12109375,1209.5561427696077,-1,0,4922288
1746276285,1746276304,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3637 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test False,1,3637,0.001,0.0005,True,False,0.84,2,0,None,i7176,2,754.75,749.9309895833334,-1,0,4922445
1746277335,1746277348,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2651 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False,1,2651,0.001,0.05,True,False,0.84,2,0,None,i7183,2,759.21875,753.4518229166666,-1,0.2157511581733951,4922668
1746278136,1746278532,396,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4976 batch_size 4250 gamma 4.649428834779115 alpha 0.0005 use_mmd2 False use_k2s_test True,4976,4250,4.649428834779115,0.0005,False,True,0.84,381,0,None,i7185,381,1332.1875,1201.8669016768292,-1,0,4922813
1746278835,1746279266,431,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1155 batch_size 3221 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test True,1155,3221,10,0.0005,False,True,0.84,418,0,None,i7166,418,1331.1796875,1197.5941051136363,-1,0,4923006
1746279675,1746279688,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3951 batch_size 1690 gamma 6.108516845044985 alpha 0.05 use_mmd2 True use_k2s_test False,3951,1690,6.108516845044985,0.05,True,False,0.84,2,0,None,i7185,2,759.83984375,752.7057291666666,-1,0,4923179
1746280844,1746280876,32,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2309 batch_size 2 gamma 2.5927219431441553 alpha 0.05 use_mmd2 True use_k2s_test False,2309,2,2.5927219431441553,0.05,True,False,None,None,1,None,i7179,,,,,,4923534
1746281615,1746282070,455,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 4452 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test True,5000,4452,0.001,0.05,False,True,0.84,441,0,None,i7176,441,1331.25,1199.2026263297873,-1,0,4923730
1746282474,1746282494,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 785 batch_size 4818 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False,785,4818,0.001,0.05,True,False,0.84,1,0,None,i7169,1,757.59375,751.8138020833334,-1,0,4923898
1746283575,1746284334,759,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1617 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test True,5000,1617,0.001,0.05,False,True,0.84,746,0,None,i7181,746,1326.2421875,1144.4516030844156,-1,0,4924148
1746284415,1746285398,983,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 734 batch_size 1044 gamma 5.415013795959674 alpha 0.05 use_mmd2 False use_k2s_test True,734,1044,5.415013795959674,0.05,False,True,0.84,971,0,None,i7180,971,1333.1328125,1119.0219921875,-1,0,4924372
1746285676,1746286330,654,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2191 batch_size 2420 gamma 6.92074756981592 alpha 0.05 use_mmd2 True use_k2s_test True,2191,2420,6.92074756981592,0.05,True,True,0.84,638,0,None,i7185,638,1323.0078125,1168.5200047348485,-1,0,4924610
1746286556,1746287266,710,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4995 batch_size 1120 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test True,4995,1120,10,0.05,True,True,0.84,700,0,None,i7182,700,1383.1171875,1133.2138671875,-1,0,4924816
1746287436,1746288000,564,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3226 batch_size 3453 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test True,3226,3453,10,0.0005,True,True,0.84,549,0,None,i7180,549,1333.56640625,1220.3530701754387,-1,0,4924989
1746288496,1746288509,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4904 batch_size 1200 gamma 4.170822368958192 alpha 0.05 use_mmd2 False use_k2s_test False,4904,1200,4.170822368958192,0.05,False,False,0.84,1,0,None,i7183,1,749.5390625,749.484375,-1,0,4925235
1746289497,1746289986,489,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 403 batch_size 3504 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test True,403,3504,0.001,0.0005,True,True,0.84,478,0,None,i7183,478,1329.71484375,1206.87890625,-1,0,4925471
1746290556,1746290570,14,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 891 batch_size 1007 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False,891,1007,0.001,0.05,False,False,0.85,2,0,None,i7183,2,750.25,750.1653645833334,-1,0,4925724
1746291578,1746291604,26,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3983 batch_size 98 gamma 5.787881117182728 alpha 0.0005 use_mmd2 True use_k2s_test False,3983,98,5.787881117182728,0.0005,True,False,0.84,12,0,None,i7175,12,934.94921875,798.73046875,-1,0,4925937
1746292139,1746292159,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 891 batch_size 1019 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False,891,1019,0.001,0.0005,False,False,0.85,2,0,None,i7170,2,749.31640625,749.2630208333334,-1,0,4926059
1746292816,1746292835,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 839 batch_size 1020 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False,839,1020,0.001,0.05,True,False,0.85,3,0,None,i7186,3,769.390625,756.8255208333334,-1,0,4926192
1746293337,1746293350,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 497 gamma 1.6881767309865345 alpha 0.05 use_mmd2 False use_k2s_test False,1,497,1.6881767309865345,0.05,False,False,0.84,1,0,None,i7185,1,750.67578125,750.6041666666666,-1,0.16446062210456652,4926296
1746294097,1746294110,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1022 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False,5000,1022,0.001,0.0005,False,False,0.84,2,0,None,i7180,2,750.22265625,750.1640625,-1,0,4926541
1746294698,1746294711,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1018 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False,5000,1018,0.001,0.05,False,False,0.85,2,0,None,i7185,2,748.77734375,748.7109375,-1,0,4926666
1746295359,1746295378,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1010 gamma 0.001 alpha 0.023363444341260038 use_mmd2 True use_k2s_test False,5000,1010,0.001,0.023363444341260038,True,False,0.85,3,0,None,i7180,3,768.66015625,756.3177083333334,-1,0,4926840
1746295777,1746295790,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 891 batch_size 1019 gamma 0.001 alpha 0.026269565304066843 use_mmd2 False use_k2s_test False,891,1019,0.001,0.026269565304066843,False,False,0.85,2,0,None,i7185,2,749.33984375,749.3072916666666,-1,0,4926923
1746296476,1746296489,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 1009 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test False,1,1009,0.001,0.0005,True,False,0.85,2,0,None,i7181,2,768.87109375,756.3346354166666,-1,0,4927074
1746296988,1746297013,25,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 875 batch_size 2 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False,875,2,0.001,0.05,True,False,None,None,1,None,i7183,,,,,,4927178
1746297519,1746297544,25,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 873 batch_size 2 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test False,873,2,0.001,0.0005,True,False,None,None,1,None,i7180,,,,,,4927292
1746298080,1746298093,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 892 batch_size 2040 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test False,892,2040,0.001,0.0005,True,False,0.84,2,0,None,i7179,2,815.1484375,771.3489583333334,-1,0,4927408
1746298607,1746298620,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 893 batch_size 2064 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False,893,2064,0.001,0.05,False,False,0.84,1,0,None,i7176,1,749.19921875,749.13671875,-1,0,4927546
1746299137,1746299150,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1007 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False,5000,1007,0.001,0.05,True,False,0.85,3,0,None,i7181,3,770.31640625,756.6171875,-1,0,4927651
1746299698,1746299717,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 870 batch_size 993 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test False,870,993,10,0.0005,True,False,0.84,4,0,None,i7178,4,760.328125,752.9270833333334,-1,0,4927831
1746300240,1746300260,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 864 batch_size 992 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False,864,992,10,0.05,True,False,0.84,4,0,None,i7178,4,760.02734375,752.5403645833334,-1,0,4927980
1746301058,1746301077,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1018 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,1018,0.001,0.0005,True,False,0.85,3,0,None,i7180,3,769.3828125,755.7200520833334,-1,0,4928159
1746301793,1746301825,32,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1010 gamma 0.001 alpha 0.03055433796525559 use_mmd2 False use_k2s_test False,5000,1010,0.001,0.03055433796525559,False,False,0.85,2,0,None,i7174,2,749.53515625,749.4830729166666,-1,0,4928324
1746302318,1746302338,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 1013 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False,1,1013,0.001,0.05,True,False,0.85,3,0,None,i7184,3,769.38671875,756.7760416666666,-1,0,4928442
1746303019,1746303038,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 1011 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False,1,1011,0.001,0.0005,False,False,0.85,2,0,None,i7184,2,748.84765625,748.765625,-1,0,4928585
1746303579,1746303598,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 1024 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False,1,1024,0.001,0.05,False,False,0.84,2,0,None,i7175,2,750.3671875,750.234375,-1,0,4928704
1746304239,1746304258,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 891 batch_size 1007 gamma 0.001 alpha 0.031502690206398405 use_mmd2 True use_k2s_test False,891,1007,0.001,0.031502690206398405,True,False,0.85,3,0,None,i7175,3,769.12890625,756.578125,-1,0,4928829
1746304761,1746304781,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 939 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False,5000,939,0.001,0.0005,False,False,0.85,2,0,None,i7174,2,749.35546875,749.2239583333334,-1,0.27068166776968894,4928935
1746305536,1746305549,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 995 gamma 0.001 alpha 0.02613902765862882 use_mmd2 False use_k2s_test False,1,995,0.001,0.02613902765862882,False,False,0.85,2,0,None,i7179,2,749.7265625,749.5729166666666,-1,0.32627399073461283,4929094
1746306218,1746306231,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 934 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False,5000,934,0.001,0.05,True,False,0.85,2,0,None,i7173,2,766,755.1861979166666,-1,0,4929262
1746306978,1746306991,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 929 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False,5000,929,0.001,0.05,False,False,0.85,2,0,None,i7183,2,749.5703125,749.421875,-1,0.26075446724023826,4929442
1746307517,1746307530,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1024 batch_size 1084 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False,1024,1084,0.001,0.0005,False,False,0.84,2,0,None,i7183,2,749.234375,749.1588541666666,-1,0,4929607
1746307957,1746307970,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 941 gamma 0.001 alpha 0.021382396698758743 use_mmd2 True use_k2s_test False,5000,941,0.001,0.021382396698758743,True,False,0.85,3,0,None,i7181,3,766.859375,754.8606770833334,-1,0,4929700
1746308738,1746308758,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 985 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False,5000,985,0.001,0.05,True,False,0.84,5,0,None,i7180,5,761.625,753.61328125,-1,0,4929854
1746309217,1746309230,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1319 batch_size 896 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test False,1319,896,0.001,0.0005,True,False,0.84,3,0,None,i7183,3,764.078125,753.90234375,-1,0,4929943
1746309858,1746309877,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 986 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,986,0.001,0.0005,True,False,0.84,3,0,None,i7179,3,760.62890625,753.15625,-1,0.3173395102581072,4930106
1746310697,1746310710,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 995 gamma 0.001 alpha 0.017493569224256416 use_mmd2 True use_k2s_test False,1,995,0.001,0.017493569224256416,True,False,0.84,3,0,None,i7180,3,759.515625,753.4283854166666,-1,0.32627399073461283,4930267
1746311618,1746311631,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 989 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False,5000,989,0.001,0.05,False,False,0.84,2,0,None,i7184,2,749.23046875,749.0859375,-1,0.3203176704169424,4930444
1746312287,1746312300,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 1012 gamma 3.017717123299449 alpha 0.05 use_mmd2 False use_k2s_test False,1,1012,3.017717123299449,0.05,False,False,0.84,1,0,None,i7180,1,749.0625,749,-1,0,4930577
1746313018,1746313038,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2459 batch_size 982 gamma 4.875010843781018 alpha 0.047907129275637964 use_mmd2 True use_k2s_test False,2459,982,4.875010843781018,0.047907129275637964,True,False,0.84,3,0,None,i7181,3,759.2890625,753.08203125,-1,0,4930757
1746313738,1746313751,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1633 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,1633,10,0.0005,True,False,0.84,2,0,None,i7185,2,759.33203125,753.1927083333334,-1,0,4930901
1746314477,1746314490,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 987 gamma 0.001 alpha 0.01748817066343719 use_mmd2 False use_k2s_test False,5000,987,0.001,0.01748817066343719,False,False,0.84,2,0,None,i7181,2,749.046875,748.9361979166666,-1,0.3183322303110523,4931073
1746315197,1746315210,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4378 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False,1,4378,10,0.05,True,False,0.84,1,0,None,i7180,1,756.19921875,751.203125,-1,0,4931250
1746315938,1746315951,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 941 gamma 0.001 alpha 0.027889016967531575 use_mmd2 False use_k2s_test False,5000,941,0.001,0.027889016967531575,False,False,0.85,2,0,None,i7185,2,749.91015625,749.7942708333334,-1,0.2726671078755791,4931394
1746316898,1746316911,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3665 batch_size 3454 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False,3665,3454,10,0.05,True,False,0.84,1,0,None,i7180,1,760.1171875,752.90234375,-1,0,4931619
1746317657,1746317670,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 52 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test False,1,52,0.001,0.0005,True,False,0.82,2,0,None,i7173,2,754.49609375,750.8307291666666,-1,0.10324288550628723,4931806
1746318298,1746318311,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2704 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False,1,2704,0.001,0.0005,False,False,0.84,1,0,None,i7180,1,749.02734375,748.94921875,-1,0.23328921244209133,4931939
1746319037,1746319050,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 3250 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,3250,10,0.0005,True,False,0.84,1,0,None,i7183,1,758.33984375,752.5143229166666,-1,0,4932080
1746319637,1746319651,14,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 3710 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False,5000,3710,0.001,0.0005,False,False,0.84,1,0,None,i7180,1,750.32421875,750.2942708333334,-1,0,4932225
1746320499,1746320512,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3932 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test False,1,3932,10,0.0005,False,False,0.84,1,0,None,i7184,1,749.44921875,749.31640625,-1,0,4932416
1746321229,1746321249,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1024 batch_size 1107 gamma 0.001 alpha 0.031455844470692336 use_mmd2 False use_k2s_test False,1024,1107,0.001,0.031455844470692336,False,False,0.84,3,0,None,i7181,3,750.14453125,750.03515625,-1,0,4932552
1746322097,1746322110,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1318 batch_size 866 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False,1318,866,0.001,0.05,True,False,0.84,3,0,None,i7182,3,764.25,754.42578125,-1,0,4932745
1746322718,1746322731,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1646 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False,5000,1646,10,0.05,True,False,0.84,2,0,None,i7179,2,758.8984375,752.8190104166666,-1,0,4932862
1746323379,1746323392,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 1003 gamma 2.132657264410167 alpha 0.0005 use_mmd2 True use_k2s_test False,1,1003,2.132657264410167,0.0005,True,False,0.84,3,0,None,i7183,3,758.63671875,752.4739583333334,-1,0,4932987
1746324178,1746324191,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 4059 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,4059,10,0.0005,True,False,0.84,1,0,None,i7176,1,757.70703125,751.8880208333334,-1,0,4933174
1746324898,1746324911,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 4607 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False,5000,4607,10,0.05,True,False,0.84,1,0,None,i7176,1,758.1328125,752.19921875,-1,0,4933311
1746325599,1746325612,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 3486 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,3486,10,0.0005,True,False,0.84,1,0,None,i7185,1,757.87890625,752.8203125,-1,0,4933545
1746326778,1746326791,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4061 batch_size 2216 gamma 6.252092540627375 alpha 0.05 use_mmd2 True use_k2s_test False,4061,2216,6.252092540627375,0.05,True,False,0.84,2,0,None,i7186,2,759.5078125,753.1822916666666,-1,0,4933780
1746327678,1746327691,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4820 batch_size 2421 gamma 10 alpha 0.04048615295982905 use_mmd2 True use_k2s_test False,4820,2421,10,0.04048615295982905,True,False,0.84,2,0,None,i7183,2,759.55859375,753.4114583333334,-1,0,4933950
1746328380,1746328393,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1299 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test False,5000,1299,10,0.0005,False,False,0.84,1,0,None,i7174,1,748.91796875,748.8658854166666,-1,0,4934121
1746329419,1746329438,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1121 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False,5000,1121,0.001,0.0005,False,False,0.84,2,0,None,i7181,2,750.265625,750.05078125,-1,0,4934303
1746330219,1746330232,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 35 batch_size 1771 gamma 6.618014536126242 alpha 0.0008050258132368402 use_mmd2 True use_k2s_test False,35,1771,6.618014536126242,0.0008050258132368402,True,False,0.84,2,0,None,i7176,2,759.39453125,752.2109375,-1,0,4934493
1746331221,1746331234,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4266 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False,1,4266,0.001,0.05,False,False,0.84,1,0,None,i7186,1,750.16796875,750.1380208333334,-1,0,4934675
1746331919,1746331933,14,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 3797 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,3797,10,0.0005,True,False,0.84,2,0,None,i7174,2,756.97265625,752.1875,-1,0,4934806
1746332748,1746332761,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 1571 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test False,1,1571,10,0.0005,True,False,0.84,2,0,None,i7173,2,759.84375,752.7786458333334,-1,0,4934993
1746333559,1746333572,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 3167 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test False,5000,3167,10,0.05,False,False,0.84,1,0,None,i7185,1,750.4375,750.3736979166666,-1,0,4935154
1746334490,1746334510,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4153 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False,1,4153,10,0.05,True,False,0.84,2,0,None,i7179,2,757.734375,752.08984375,-1,0,4935345
1746335459,1746335472,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2555 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test False,5000,2555,10,0.0005,False,False,0.84,1,0,None,i7183,1,750.3671875,750.2981770833334,-1,0,4935536
1746336419,1746336432,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3220 batch_size 4302 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test False,3220,4302,10,0.05,False,False,0.84,1,0,None,i7183,1,750.31640625,750.265625,-1,0,4935791
1746337220,1746337233,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 986 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False,1,986,0.001,0.05,True,False,0.84,3,0,None,i7185,3,760.55859375,753.03515625,-1,0.3173395102581072,4936007
1746338019,1746338032,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2989 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False,5000,2989,0.001,0.0005,False,False,0.84,1,0,None,i7180,1,749.53515625,749.4739583333334,-1,0.32759761747187294,4936171
1746338862,1746338875,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1119 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,1119,0.001,0.0005,True,False,0.84,2,0,None,i7180,2,806.48046875,768.69140625,-1,0,4936339
1746339460,1746339480,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 867 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,867,0.001,0.0005,True,False,0.84,3,0,None,i7186,3,765.94921875,754.78125,-1,0,4936455
1746340334,1746340366,32,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 4257 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False,5000,4257,0.001,0.05,True,False,0.84,1,0,None,i7173,1,756.62109375,751.92578125,-1,0,4936660
1746341150,1746341163,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1010 gamma 1.9152631390457426 alpha 0.05 use_mmd2 False use_k2s_test False,5000,1010,1.9152631390457426,0.05,False,False,0.84,1,0,None,i7183,1,748.8984375,748.8450520833334,-1,0,4936826
1746342001,1746342014,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 389 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test False,5000,389,10,0.05,False,False,0.84,1,0,None,i7181,1,749.80859375,749.75390625,-1,0,4936984
1746342942,1746342955,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2173 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test False,5000,2173,10,0.05,False,False,0.84,1,0,None,i7180,1,748.76171875,748.6783854166666,-1,0,4937193
1746343662,1746343675,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 3157 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False,5000,3157,10,0.05,True,False,0.84,1,0,None,i7185,1,756.20703125,751.15625,-1,0,4937322
1746344561,1746344574,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 981 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False,1,981,0.001,0.05,False,False,0.84,2,0,None,i7184,2,749.2734375,749.2174479166666,-1,0.3123759099933819,4937523
1746345702,1746345715,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 873 gamma 1.0306324379164356 alpha 0.0005 use_mmd2 False use_k2s_test False,5000,873,1.0306324379164356,0.0005,False,False,0.84,1,0,None,i7180,1,750.05078125,749.8502604166666,-1,0.20516214427531437,4937737
1746346522,1746346541,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2015 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,2015,0.001,0.0005,True,False,0.84,2,0,None,i7180,2,759.87890625,752.6458333333334,-1,0,4937891
1746347522,1746347535,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4433 batch_size 4591 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False,4433,4591,0.001,0.0005,False,False,0.84,1,0,None,i7179,1,749.6171875,749.5559895833334,-1,0,4938073
1746348381,1746348394,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 941 gamma 1.2452562308620858 alpha 0.020424988393488167 use_mmd2 False use_k2s_test False,5000,941,1.2452562308620858,0.020424988393488167,False,False,0.84,1,0,None,i7185,1,748.9296875,748.8606770833334,-1,0.2726671078755791,4938264
1746349372,1746349391,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 380 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,380,10,0.0005,True,False,0.84,5,0,None,i7174,5,760.3359375,753.84375,-1,0,4938479
1746350261,1746350274,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1140 gamma 0.001 alpha 0.025129722679286464 use_mmd2 False use_k2s_test False,5000,1140,0.001,0.025129722679286464,False,False,0.84,2,0,None,i7176,2,749.9296875,749.7955729166666,-1,0,4938695
1746350982,1746351002,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3011 gamma 4.9908925684826295 alpha 0.05 use_mmd2 True use_k2s_test False,1,3011,4.9908925684826295,0.05,True,False,0.84,2,0,None,i7181,2,759.46484375,752.3385416666666,-1,0,4938864
1746351922,1746351935,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 183 batch_size 2903 gamma 2.675690598788111 alpha 0.0005 use_mmd2 True use_k2s_test False,183,2903,2.675690598788111,0.0005,True,False,0.84,2,0,None,i7179,2,760.3515625,753.1171875,-1,0,4939042
1746352822,1746352835,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1109 batch_size 448 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test False,1109,448,10,0.05,False,False,0.84,1,0,None,i7180,1,749.19140625,749.1380208333334,-1,0,4939235
1746353623,1746353643,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 853 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False,5000,853,0.001,0.05,True,False,0.84,4,0,None,i7174,4,763.13671875,753.4622395833334,-1,0.18530774321641297,4939383
1746354562,1746354574,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2600 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,2600,10,0.0005,True,False,0.84,2,0,None,i7176,2,758.26953125,752.09765625,-1,0,4939550
1746355662,1746355675,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1075 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test False,5000,1075,10,0.0005,False,False,0.84,1,0,None,i7176,1,748.94921875,748.8971354166666,-1,0,4939776
1746356662,1746356675,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3785 batch_size 4808 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False,3785,4808,0.001,0.0005,False,False,0.84,1,0,None,i7183,1,750.31640625,750.2526041666666,-1,0,4939950
1746357442,1746357455,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1010 gamma 1.713226793245144 alpha 0.05 use_mmd2 True use_k2s_test False,5000,1010,1.713226793245144,0.05,True,False,0.84,2,0,None,i7171,2,760.3046875,753.23046875,-1,0,4940598
1746358422,1746358435,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2177 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test False,1,2177,0.001,0.0005,True,False,0.84,3,0,None,i7183,3,758.5234375,753.1276041666666,-1,0.05890138980807412,4940762
1746359522,1746359535,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3886 gamma 10 alpha 0.03337060094550457 use_mmd2 True use_k2s_test False,1,3886,10,0.03337060094550457,True,False,0.84,2,0,None,i7183,2,757.30859375,752.5052083333334,-1,0,4940963
1746360402,1746360416,14,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4434 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test False,1,4434,10,0.0005,False,False,0.84,1,0,None,i7181,1,748.9609375,748.84765625,-1,0,4941158
1746361313,1746361326,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 4761 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False,5000,4761,0.001,0.05,True,False,0.84,1,0,None,i7185,1,757.265625,752.3776041666666,-1,0,4941355
1746362382,1746362395,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 333 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test False,5000,333,10,0.0005,False,False,0.84,1,0,None,i7180,1,750.765625,750.69921875,-1,0,4941560
1746363402,1746363415,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1280 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,1280,10,0.0005,True,False,0.84,2,0,None,i7180,2,788.80859375,763.1015625,-1,0,4941775
1746364422,1746364435,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4084 batch_size 3455 gamma 4.634256367406285 alpha 0.05 use_mmd2 False use_k2s_test False,4084,3455,4.634256367406285,0.05,False,False,0.84,1,0,None,i7184,1,749.88671875,749.8372395833334,-1,0,4941961
1746365424,1746365444,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4801 batch_size 1352 gamma 5.73900915479345 alpha 0.0005 use_mmd2 True use_k2s_test False,4801,1352,5.73900915479345,0.0005,True,False,0.84,3,0,None,i7178,3,777.34375,759.0364583333334,-1,0,4942141
1746366503,1746366516,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 1765 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False,1,1765,10,0.05,True,False,0.84,2,0,None,i7181,2,758.390625,752.29296875,-1,0,4942359
1746367524,1746367544,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1487 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False,5000,1487,0.001,0.05,False,False,0.84,3,0,None,i7170,3,749.48046875,749.1171875,-1,0,4942571
1746368444,1746368457,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 1972 gamma 10 alpha 0.003401628259213437 use_mmd2 True use_k2s_test False,1,1972,10,0.003401628259213437,True,False,0.84,2,0,None,i7185,2,757.96875,752.8229166666666,-1,0,4942731
1746369484,1746369497,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 891 batch_size 992 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test False,891,992,0.001,0.0005,True,False,0.84,3,0,None,i7183,3,759.734375,752.5520833333334,-1,0.32329583057577765,4942912
1746370666,1746370679,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 4565 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,4565,0.001,0.0005,True,False,0.84,2,0,None,i7183,2,759.3515625,752.35546875,-1,0,4943144
1746371705,1746371724,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 995 gamma 0.001 alpha 0.012390448500874106 use_mmd2 False use_k2s_test False,1,995,0.001,0.012390448500874106,False,False,0.85,2,0,None,i7186,2,750.27734375,750.1458333333334,-1,0.32627399073461283,4943381
1746372665,1746372678,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2449 gamma 4.662176131049248 alpha 0.04329682505021505 use_mmd2 False use_k2s_test False,1,2449,4.662176131049248,0.04329682505021505,False,False,0.84,1,0,None,i7180,1,748.984375,748.8997395833334,-1,0,4943548
1746373725,1746373738,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3258 batch_size 396 gamma 5.28549205973282 alpha 0.05 use_mmd2 False use_k2s_test False,3258,396,5.28549205973282,0.05,False,False,0.84,1,0,None,i7179,1,750.27734375,750.2239583333334,-1,0,4943730
1746374865,1746374879,14,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 4387 gamma 5.715657814827972 alpha 0.0005 use_mmd2 False use_k2s_test False,5000,4387,5.715657814827972,0.0005,False,False,0.84,1,0,None,i7181,1,750.62890625,750.546875,-1,0,4943940
1746375885,1746375898,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2925 gamma 5.630919808927955 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2925,5.630919808927955,0.05,True,False,0.84,2,0,None,i7185,2,763.0546875,754.7877604166666,-1,0,4944123
1746376985,1746376998,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3357 gamma 3.825743252479763 alpha 0.05 use_mmd2 True use_k2s_test False,1,3357,3.825743252479763,0.05,True,False,0.84,1,0,None,i7185,1,758.0859375,752.3736979166666,-1,0,4944318
1746377965,1746377978,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 365 batch_size 4061 gamma 1.8685874382467453 alpha 0.039701070940996175 use_mmd2 False use_k2s_test False,365,4061,1.8685874382467453,0.039701070940996175,False,False,0.84,1,0,None,i7180,1,748.91796875,748.8372395833334,-1,0,4944488
1746379004,1746379462,458,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 4.303028484452701 alpha 0.021782442560658005 use_mmd2 True use_k2s_test False,5000,2,4.303028484452701,0.021782442560658005,True,False,None,None,1,None,i7169,,,,,,4944720
1746380035,1746380055,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2308 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test False,1,2308,10,0.0005,True,False,0.84,2,0,None,i7184,2,758.90234375,752.9583333333334,-1,0,4944934
1746380965,1746380984,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1140 gamma 0.001 alpha 0.0281399433839984 use_mmd2 True use_k2s_test False,5000,1140,0.001,0.0281399433839984,True,False,0.84,3,0,None,i7181,3,802.29296875,766.74609375,-1,0.09298477829252151,4945093
1746382025,1746382038,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 994 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False,5000,994,0.001,0.0005,False,False,0.84,2,0,None,i7181,2,749.23046875,749.08984375,-1,0.3252812706816678,4945287
1746383066,1746383085,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1319 batch_size 899 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False,1319,899,0.001,0.0005,False,False,0.84,2,0,None,i7186,2,749.91796875,749.4518229166666,-1,0,4945470
1746384166,1746384179,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 938 gamma 0.9889696128050677 alpha 0.0005 use_mmd2 False use_k2s_test False,1,938,0.9889696128050677,0.0005,False,False,0.85,2,0,None,i7185,2,749.296875,749.1640625,-1,0.2696889477167439,4945668
1746385496,1746385509,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3835 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False,1,3835,0.001,0.05,False,False,0.84,1,0,None,i7175,1,750.63671875,750.5026041666666,-1,0,4945959
1746386545,1746387010,465,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False,1,2,10,0.05,True,False,None,None,1,None,i7168,,,,,,4946171
1746387586,1746388183,597,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 5.8207920392389 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,2,5.8207920392389,0.0005,True,False,None,None,1,None,i7181,,,,,,4946358
1746388795,1746389365,570,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 8.298500086745356 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,8.298500086745356,0.05,True,False,None,None,1,None,i7179,,,,,,4946592
1746390025,1746390038,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4926 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False,1,4926,0.001,0.0005,False,False,0.84,1,0,None,i7183,1,750.765625,750.6315104166666,-1,0,4946833
1746391346,1746391365,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4944 batch_size 3821 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test False,4944,3821,0.001,0.0005,True,False,0.84,2,0,None,i7184,2,760.10546875,752.9296875,-1,0,4947056
1746392546,1746392565,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 995 gamma 0.001 alpha 0.03316284381491987 use_mmd2 True use_k2s_test False,1,995,0.001,0.03316284381491987,True,False,0.84,3,0,None,i7184,3,758.74609375,752.7526041666666,-1,0.32627399073461283,4947260
1746393688,1746393701,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 5000 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test False,1,5000,10,0.05,False,False,0.84,1,0,None,i7180,1,748.79296875,748.7356770833334,-1,0,4947458
1746395028,1746395041,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3354 gamma 6.608991318895874 alpha 0.05 use_mmd2 False use_k2s_test False,1,3354,6.608991318895874,0.05,False,False,0.84,1,0,None,i7186,1,749.61328125,749.4791666666666,-1,0,4947728
1746396189,1746396209,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4870 gamma 4.147265821608121 alpha 0.05 use_mmd2 True use_k2s_test False,1,4870,4.147265821608121,0.05,True,False,0.84,2,0,None,i7186,2,757.671875,751.8854166666666,-1,0,4947943
1746397258,1746397272,14,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1825 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test False,5000,1825,10,0.05,False,False,0.84,1,0,None,i7184,1,748.8828125,748.8151041666666,-1,0,4948130
1746398447,1746398461,14,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2156 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,2156,10,0.0005,True,False,0.84,2,0,None,i7184,2,760.0078125,753.7877604166666,-1,0,4948326
1746399808,1746399828,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 1584 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False,1,1584,0.001,0.05,True,False,0.84,4,0,None,i7180,4,758.3203125,752.0924479166666,-1,0,4948613
1746400727,1746400740,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 1957 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test False,1,1957,10,0.05,False,False,0.84,1,0,None,i7183,1,750.37109375,750.3372395833334,-1,0,4948773
1746401929,1746401942,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 3246 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test False,5000,3246,10,0.0005,False,False,0.84,1,0,None,i7182,1,750.23046875,750.1979166666666,-1,0,4948969
1746402908,1746402921,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 860 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False,5000,860,0.001,0.05,False,False,0.84,2,0,None,i7185,2,749.23046875,747.7981770833334,-1,0,4949132
1746404128,1746404141,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3036 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False,1,3036,0.001,0.05,False,False,0.84,1,0,None,i7181,1,749.59765625,749.5182291666666,-1,0,4949339
1746405147,1746405160,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1407 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test False,5000,1407,10,0.05,False,False,0.84,1,0,None,i7183,1,749.3125,749.26171875,-1,0,4949547
1746406268,1746406288,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4766 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False,1,4766,10,0.05,True,False,0.84,2,0,None,i7178,2,757.7890625,753.0026041666666,-1,0,4949768
1746407328,1746407971,643,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 5.893428126568789 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,5.893428126568789,0.05,True,False,None,None,1,None,i7178,,,,,,4949981
1746408388,1746408408,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3266 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False,1,3266,0.001,0.0005,False,False,0.84,1,0,None,i7178,1,750.234375,750.0182291666666,-1,0,4950155
1746409330,1746409350,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 3107 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,3107,0.001,0.0005,True,False,0.84,1,0,None,i7179,1,757.59375,752.5729166666666,-1,0,4950352
1746410629,1746410642,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 1101 gamma 10 alpha 0.0260672324192282 use_mmd2 False use_k2s_test False,1,1101,10,0.0260672324192282,False,False,0.84,1,0,None,i7185,1,750.73046875,750.6705729166666,-1,0,4950583
1746411848,1746411861,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2879 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2879,10,0.05,True,False,0.84,2,0,None,i7182,2,759.953125,752.72265625,-1,0,4950810
1746412848,1746412861,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 4256 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False,5000,4256,0.001,0.0005,False,False,0.84,1,0,None,i7179,1,749.484375,749.43359375,-1,0,4950992
1746413937,1746413956,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 563 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test False,1,563,10,0.0005,True,False,0.84,3,0,None,i7179,3,769.9921875,756.3359375,-1,0,4951199
1746415209,1746415222,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4574 gamma 4.700218618366637 alpha 0.05 use_mmd2 True use_k2s_test False,1,4574,4.700218618366637,0.05,True,False,0.84,2,0,None,i7186,2,757.76953125,751.9817708333334,-1,0,4951427
1746416569,1746416582,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4405 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False,1,4405,0.001,0.05,True,False,0.84,2,0,None,i7184,2,759.94140625,752.734375,-1,0,4951667
1746417609,1746417622,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2994 gamma 6.478116772704633 alpha 0.023638544466723196 use_mmd2 False use_k2s_test False,1,2994,6.478116772704633,0.023638544466723196,False,False,0.84,1,0,None,i7184,1,749.34765625,749.1966145833334,-1,0,4951853
1746418549,1746419041,492,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,10,0.05,True,False,None,None,1,None,i7185,,,,,,4952114
1746419690,1746419709,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2475 gamma 0.5668314671289203 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,2475,0.5668314671289203,0.0005,True,False,0.84,3,0,None,i7186,3,759.89453125,753.6692708333334,-1,0.15751158173395102,4952312
1746420770,1746420923,153,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 3.6254774705085304 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,3.6254774705085304,0.05,True,False,None,None,1,None,i7181,,,,,,4952509
1746422409,1746422422,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4842 batch_size 2615 gamma 3.182741681103838 alpha 0.05 use_mmd2 False use_k2s_test False,4842,2615,3.182741681103838,0.05,False,False,0.84,1,0,None,i7183,1,749.2578125,749.19921875,-1,0,4952811
1746423490,1746423503,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 921 gamma 0.93330034287692 alpha 0.05 use_mmd2 True use_k2s_test False,1,921,0.93330034287692,0.05,True,False,0.84,3,0,None,i7185,3,765.7734375,754.67578125,-1,0,4952992
1746424469,1746425085,616,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,10,0.05,True,False,None,None,1,None,i7184,,,,,,4953172
1746425633,1746425652,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 1125 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False,1,1125,0.001,0.05,False,False,0.84,2,0,None,i7180,2,749.05859375,748.84765625,-1,0,4953360
1746426780,1746426799,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 938 gamma 0.8985650576469928 alpha 0.0005 use_mmd2 True use_k2s_test False,1,938,0.8985650576469928,0.0005,True,False,0.85,3,0,None,i7178,3,764.8515625,754.3138020833334,-1,0,4953548
1746428191,1746428204,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4440 gamma 3.3451523280089615 alpha 0.0005 use_mmd2 True use_k2s_test False,1,4440,3.3451523280089615,0.0005,True,False,0.84,1,0,None,i7182,1,757.86328125,752.19921875,-1,0,4953813
1746429352,1746429365,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2241 gamma 5.629740057844363 alpha 0.04905513183962996 use_mmd2 False use_k2s_test False,1,2241,5.629740057844363,0.04905513183962996,False,False,0.84,1,0,None,i7184,1,749.171875,749.1184895833334,-1,0,4954027
1746430493,1746430512,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 1095 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test False,1,1095,0.001,0.0005,True,False,0.84,4,0,None,i7184,4,766.17578125,755.2291666666666,-1,0,4954249
1746431573,1746431592,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4675 batch_size 4 gamma 3.4235241923423323 alpha 0.033076241896502545 use_mmd2 False use_k2s_test False,4675,4,3.4235241923423323,0.033076241896502545,False,False,0.84,4,0,None,i7175,4,749.1640625,749.0872395833334,-1,0.0013236267372600927,4954928
1746432952,1746432972,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 987 gamma 4.43626838976351 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,987,4.43626838976351,0.0005,True,False,0.84,3,0,None,i7179,3,758.9140625,752.98046875,-1,0,4955195
1746434013,1746434032,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 938 gamma 1.4813146498713725 alpha 0.03079578147074512 use_mmd2 False use_k2s_test False,1,938,1.4813146498713725,0.03079578147074512,False,False,0.84,1,0,None,i7176,1,750.7109375,750.6588541666666,-1,0.2696889477167439,4955389
1746435255,1746435268,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 431 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test False,1,431,10,0.0005,False,False,0.84,1,0,None,i7181,1,749.72265625,749.6692708333334,-1,0,4955609
1746436395,1746436414,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2732 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test False,1,2732,10,0.05,False,False,0.84,1,0,None,i7179,1,750.40625,750.3229166666666,-1,0,4956307
1746437581,1746437600,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 1752 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test False,1,1752,0.001,0.0005,True,False,0.84,2,0,None,i7183,2,757.546875,752.5221354166666,-1,0,4956519
1746438829,1746438854,25,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4902 batch_size 4340 gamma 6.154948603254957 alpha 0.05 use_mmd2 False use_k2s_test False,4902,4340,6.154948603254957,0.05,False,False,0.84,1,0,None,i7181,1,749.625,749.5950520833334,-1,0,4956767
1746440272,1746440322,50,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 3909 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test False,5000,3909,10,0.05,False,False,0.84,1,0,None,i7176,1,749.51953125,749.4557291666666,-1,0,4957009
1746441470,1746441496,26,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2010 gamma 9.499408119858323 alpha 0.04363944024758419 use_mmd2 True use_k2s_test False,5000,2010,9.499408119858323,0.04363944024758419,True,False,0.84,2,0,None,i7184,2,758.421875,752.3346354166666,-1,0,4957215
1746442823,1746443300,477,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test False,1,2,10,0.0005,True,False,None,None,1,None,i7176,,,,,,4957454
1746444033,1746444084,51,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 44 gamma 10 alpha 0.028576956256491766 use_mmd2 True use_k2s_test False,5000,44,10,0.028576956256491766,True,False,0.84,28,0,None,i7180,28,914.4296875,804.79921875,-1,0,4957651
1746445233,1746445252,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 677 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False,5000,677,10,0.05,True,False,0.84,4,0,None,i7186,4,778.00390625,758.5377604166666,-1,0,4957849
1746446676,1746446689,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 3801 gamma 7.577804557998531 alpha 0.05 use_mmd2 True use_k2s_test False,5000,3801,7.577804557998531,0.05,True,False,0.84,1,0,None,i7175,1,756.40234375,751.328125,-1,0,4958160
1746447982,1746448001,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2776 gamma 5.122314707200073 alpha 0.004185362336860024 use_mmd2 True use_k2s_test False,5000,2776,5.122314707200073,0.004185362336860024,True,False,0.84,2,0,None,i7181,2,759.27734375,752.21875,-1,0,4958435
1746449373,1746449398,25,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 897 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False,1,897,0.001,0.05,False,False,0.84,2,0,None,i7176,2,749.73828125,749.2213541666666,-1,0,4958729
1746450545,1746450564,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3629 batch_size 312 gamma 4.672782598659623 alpha 0.0005 use_mmd2 False use_k2s_test False,3629,312,4.672782598659623,0.0005,False,False,0.84,1,0,None,i7186,1,750.3515625,750.3020833333334,-1,0,4958977
1746451620,1746451639,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 980 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False,1,980,0.001,0.0005,False,False,0.84,2,0,None,i7181,2,750.16015625,750.0950520833334,-1,0.3113831899404368,4959157
1746453157,1746453189,32,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1010 gamma 1.1944343583666028 alpha 0.029895504648196153 use_mmd2 True use_k2s_test False,5000,1010,1.1944343583666028,0.029895504648196153,True,False,0.84,2,0,None,i7178,2,758.9453125,752.9908854166666,-1,0,4959468
1746454401,1746454420,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1259 batch_size 2512 gamma 7.688837905808651 alpha 0.0005 use_mmd2 False use_k2s_test False,1259,2512,7.688837905808651,0.0005,False,False,0.84,1,0,None,i7186,1,748.671875,748.609375,-1,0,4959822
1746455619,1746456131,512,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test False,1,2,10,0.0005,True,False,None,None,1,None,i7185,,,,,,4960006
1746457084,1746457097,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 5000 gamma 2.661181038148865 alpha 0.0005 use_mmd2 False use_k2s_test False,5000,5000,2.661181038148865,0.0005,False,False,0.84,1,0,None,i7185,1,748.8671875,748.81640625,-1,0,4960338
1746458214,1746458227,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 3556 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test False,5000,3556,10,0.0005,False,False,0.84,1,0,None,i7181,1,749.265625,749.1940104166666,-1,0,4960512
1746459798,1746460302,504,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4677 batch_size 2 gamma 4.381008677369334 alpha 0.05 use_mmd2 True use_k2s_test False,4677,2,4.381008677369334,0.05,True,False,None,None,1,None,i7181,,,,,,4960844
1746461013,1746461026,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2601 gamma 9.481056676734962 alpha 0.05 use_mmd2 False use_k2s_test False,5000,2601,9.481056676734962,0.05,False,False,0.84,1,0,None,i7186,1,749.39453125,749.3424479166666,-1,0,4961073
1746462124,1746462195,71,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 965 batch_size 2 gamma 3.3710141102924123 alpha 0.00660487140735838 use_mmd2 True use_k2s_test False,965,2,3.3710141102924123,0.00660487140735838,True,False,None,None,1,None,i7184,,,,,,4961260
1746463400,1746463413,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3991 batch_size 3573 gamma 3.2120852706594745 alpha 0.0005 use_mmd2 True use_k2s_test False,3991,3573,3.2120852706594745,0.0005,True,False,0.84,1,0,None,i7183,1,758.44921875,752.625,-1,0,4961470
1746464541,1746464561,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1101 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False,5000,1101,0.001,0.05,False,False,0.84,2,0,None,i7180,2,750.30859375,749.9934895833334,-1,0,4961693
1746465843,1746465856,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4383 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False,1,4383,0.001,0.0005,False,False,0.84,1,0,None,i7181,1,748.8125,748.7825520833334,-1,0,4961934
1746467182,1746467202,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3076 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test False,1,3076,0.001,0.0005,True,False,0.84,2,0,None,i7181,2,758.3359375,752.5885416666666,-1,0,4962151
1746468702,1746468715,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1327 batch_size 3460 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False,1327,3460,0.001,0.05,True,False,0.84,2,0,None,i7186,2,757.42578125,752.4973958333334,-1,0,4962386
1746470303,1746470323,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 897 gamma 0.001 alpha 0.023469681211564605 use_mmd2 True use_k2s_test False,1,897,0.001,0.023469681211564605,True,False,0.84,3,0,None,i7183,3,765.8203125,754.6341145833334,-1,0,4962644
1746471923,1746471942,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 679 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,679,10,0.0005,True,False,0.84,3,0,None,i7181,3,777.17578125,758.9739583333334,-1,0,4962943
1746473703,1746474272,569,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 965 batch_size 2 gamma 4.263981677352969 alpha 0.0005 use_mmd2 True use_k2s_test False,965,2,4.263981677352969,0.0005,True,False,None,None,1,None,i7186,,,,,,4963243
1746475046,1746475066,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3382 gamma 10 alpha 0.0027598787788707343 use_mmd2 True use_k2s_test False,1,3382,10,0.0027598787788707343,True,False,0.84,2,0,None,i7178,2,757.6171875,752.1692708333334,-1,0,4963503
1746476607,1746476627,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3376 batch_size 2099 gamma 3.9329866750498557 alpha 0.05 use_mmd2 True use_k2s_test False,3376,2099,3.9329866750498557,0.05,True,False,0.84,3,0,None,i7184,3,759.3359375,752.3294270833334,-1,0,4963749
1746478104,1746478117,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 292 batch_size 2055 gamma 3.659913563293518 alpha 0.0005 use_mmd2 True use_k2s_test False,292,2055,3.659913563293518,0.0005,True,False,0.84,2,0,None,i7183,2,815.78515625,771.578125,-1,0,4963993
1746479613,1746479626,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 4480 gamma 1.257217510900512 alpha 0.05 use_mmd2 False use_k2s_test False,5000,4480,1.257217510900512,0.05,False,False,0.84,1,0,None,i7183,1,750.66015625,750.59375,-1,0,4964253
1746480924,1746480937,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 3539 gamma 8.305490370464073 alpha 0.05 use_mmd2 False use_k2s_test False,5000,3539,8.305490370464073,0.05,False,False,0.84,1,0,None,i7186,1,749.93359375,749.8880208333334,-1,0,4964443
1746482384,1746482397,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3383 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test False,1,3383,0.001,0.0005,True,False,0.84,1,0,None,i7186,1,757.66796875,752.9348958333334,-1,0,4964696
1746484024,1746484037,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 893 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False,1,893,0.001,0.0005,False,False,0.84,2,0,None,i7181,2,749.4296875,748.9869791666666,-1,0,4964984
1746485645,1746485664,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2771 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2771,0.001,0.05,True,False,0.84,3,0,None,i7184,3,760.2421875,753.05078125,-1,0.2554599602911979,4965272
1746487345,1746487503,158,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 3.9417798381513673 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,3.9417798381513673,0.05,True,False,None,None,1,None,i7180,,,,,,4965557
1746488944,1746488957,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2933 gamma 4.555811995464639 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,2933,4.555811995464639,0.0005,True,False,0.84,2,0,None,i7179,2,762.2890625,753.38671875,-1,0,4965819
1746490126,1746490687,561,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False,1,2,10,0.05,True,False,None,None,1,None,i7183,,,,,,4966023
1746491505,1746491518,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1812 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,1812,10,0.0005,True,False,0.84,2,0,None,i7176,2,760.4453125,753.31640625,-1,0,4966276
1746493105,1746493119,14,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1010 gamma 1.4126218840857965 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,1010,1.4126218840857965,0.0005,True,False,0.84,2,0,None,i7173,2,757.89453125,751.8997395833334,-1,0,4966600
1746494572,1746494585,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 343 gamma 5.629768962546661 alpha 0.05 use_mmd2 False use_k2s_test False,5000,343,5.629768962546661,0.05,False,False,0.84,1,0,None,i7185,1,750.2578125,750.17578125,-1,0,4966832
1746495987,1746496000,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1595 gamma 1.4844236139222675 alpha 0.0005 use_mmd2 False use_k2s_test False,5000,1595,1.4844236139222675,0.0005,False,False,0.84,1,0,None,i7185,1,749.6171875,749.5846354166666,-1,0,4967046
1746497645,1746497658,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3619 gamma 0.001 alpha 0.018602351154301 use_mmd2 False use_k2s_test False,1,3619,0.001,0.018602351154301,False,False,0.84,1,0,None,i7183,1,749.33984375,749.2760416666666,-1,0,4967309
1746499266,1746499387,121,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 3.4827592164619783 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,3.4827592164619783,0.05,True,False,None,None,1,None,i7183,,,,,,4967572
1746500809,1746500822,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1254 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test False,5000,1254,10,0.05,False,False,0.84,1,0,None,i7180,1,750.0546875,749.9986979166666,-1,0,4967848
1746502110,1746502123,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3266 gamma 0.001 alpha 0.040172210534177355 use_mmd2 True use_k2s_test False,1,3266,0.001,0.040172210534177355,True,False,0.84,1,0,None,i7182,1,759.8125,752.71875,-1,0,4968054
1746503750,1746503763,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3935 batch_size 4776 gamma 5.929395262908574 alpha 0.0005 use_mmd2 True use_k2s_test False,3935,4776,5.929395262908574,0.0005,True,False,0.84,1,0,None,i7179,1,757.28515625,752.4609375,-1,0,4968301
1746505237,1746505701,464,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 965 batch_size 2 gamma 5.059481938491827 alpha 0.0005 use_mmd2 True use_k2s_test False,965,2,5.059481938491827,0.0005,True,False,None,None,1,None,i7176,,,,,,4968568
1746506550,1746506563,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1685 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False,5000,1685,0.001,0.0005,False,False,0.84,2,0,None,i7186,2,750.00390625,749.453125,-1,0,4968764
1746508031,1746508044,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4359 batch_size 3219 gamma 0.001 alpha 0.015396794907522292 use_mmd2 False use_k2s_test False,4359,3219,0.001,0.015396794907522292,False,False,0.84,1,0,None,i7183,1,748.76171875,748.7317708333334,-1,0,4969020
1746509371,1746509485,114,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 10 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False,1,10,10,0.05,True,False,None,None,1,None,i7181,,,,,,4969270
1746510908,1746510921,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4861 batch_size 2259 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False,4861,2259,0.001,0.05,False,False,0.84,1,0,None,i7186,1,750.78515625,750.7200520833334,-1,0,4969525
1746512311,1746512324,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 4852 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,4852,10,0.0005,True,False,0.84,1,0,None,i7183,1,757.515625,750.33203125,-1,0,4969759
1746513973,1746514484,511,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,10,0.05,True,False,None,None,1,None,i7181,,,,,,4970033
1746515854,1746515880,26,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4675 batch_size 4 gamma 2.3099151181194615 alpha 0.04163470273669683 use_mmd2 True use_k2s_test False,4675,4,2.3099151181194615,0.04163470273669683,True,False,None,None,1,None,i7184,,,,,,4970321
1746517443,1746517463,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 4764 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False,5000,4764,10,0.05,True,False,0.84,2,0,None,i7186,2,758.28515625,752.4817708333334,-1,0,4970631
1746518877,1746519023,146,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 965 batch_size 2 gamma 3.7301340890676116 alpha 0.0005 use_mmd2 True use_k2s_test False,965,2,3.7301340890676116,0.0005,True,False,None,None,1,None,i7183,,,,,,4970876
1746520490,1746520509,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 4712 gamma 3.2348030904572442 alpha 0.05 use_mmd2 False use_k2s_test False,5000,4712,3.2348030904572442,0.05,False,False,0.84,1,0,None,i7184,1,750.30078125,750.2708333333334,-1,0,4971119
1746521953,1746521979,26,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4574 gamma 5.146165043052818 alpha 0.0005 use_mmd2 False use_k2s_test False,1,4574,5.146165043052818,0.0005,False,False,0.84,1,0,None,i7182,1,749.18359375,749.0572916666666,-1,0,4971342
1746523543,1746524148,605,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2 gamma 7.931176330213238 alpha 0.05 use_mmd2 True use_k2s_test False,1,2,7.931176330213238,0.05,True,False,None,None,1,None,i7186,,,,,,4971610
1746524988,1746525581,593,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,10,0.05,True,False,None,None,1,None,i7183,,,,,,4971874
1746526525,1746526544,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4581 batch_size 447 gamma 7.297426516238291 alpha 0.0005 use_mmd2 False use_k2s_test False,4581,447,7.297426516238291,0.0005,False,False,0.84,1,0,None,i7183,1,748.796875,748.71484375,-1,0,4972124
1746527996,1746528016,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 4364 gamma 7.787061543077332 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,4364,7.787061543077332,0.0005,True,False,0.84,2,0,None,i7183,2,759.25390625,752.1302083333334,-1,0,4972391
1746529520,1746529539,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2692 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False,5000,2692,0.001,0.0005,False,False,0.84,1,0,None,i7176,1,750.546875,750.47265625,-1,0.22931833223031106,4972657
1746531098,1746531117,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 3670 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,3670,10,0.0005,True,False,0.84,2,0,None,i7185,2,759.42578125,752.3984375,-1,0,4973099
1746532554,1746533076,522,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 6.556988900723726 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,6.556988900723726,0.05,True,False,None,None,1,None,i7183,,,,,,4973388
1746534860,1746534880,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 3585 gamma 5.586488697974585 alpha 0.05 use_mmd2 True use_k2s_test False,5000,3585,5.586488697974585,0.05,True,False,0.84,2,0,None,i7184,2,759.8828125,752.78125,-1,0,4973800
1746536168,1746536187,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 411 gamma 8.15548675850079 alpha 0.05 use_mmd2 True use_k2s_test False,1,411,8.15548675850079,0.05,True,False,0.84,4,0,None,i7180,4,766.91796875,755.2578125,-1,0,4974074
1746537738,1746538308,570,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test False,1,2,10,0.0005,True,False,None,None,1,None,i7184,,,,,,4974324
1746539228,1746539253,25,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test False,1,2,10,0.05,False,False,0.84,7,0,None,i7183,7,750.27734375,750.1861979166666,-1,0,4974645
1746540842,1746540892,50,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2664 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False,1,2664,0.001,0.05,False,False,0.84,1,0,None,i7175,1,749.8828125,749.6575520833334,-1,0.2200529450694904,4974935
1746542388,1746542469,81,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 3793 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test False,5000,3793,10,0.05,False,False,0.84,1,0,None,i7183,1,749.5390625,749.50390625,-1,0,4975157
1746544020,1746544570,550,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,2,10,0.0005,True,False,None,None,1,None,i7186,,,,,,4975452
1746545472,1746545504,32,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3154 batch_size 992 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False,3154,992,0.001,0.05,False,False,0.84,2,0,None,i7184,2,748.91015625,748.77734375,-1,0.32329583057577765,4975700
1746546910,1746546929,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1010 gamma 1.897394738651565 alpha 0.0005 use_mmd2 False use_k2s_test False,5000,1010,1.897394738651565,0.0005,False,False,0.84,1,0,None,i7181,1,750.26953125,750.2161458333334,-1,0,4975919
1746548656,1746548675,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 1124 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False,1,1124,0.001,0.0005,False,False,0.84,2,0,None,i7179,2,748.7265625,748.5104166666666,-1,0,4976202
1746550340,1746550863,523,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2992 batch_size 2 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False,2992,2,10,0.05,True,False,None,None,1,None,i7183,,,,,,4976435
1746552006,1746552025,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3154 batch_size 988 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False,3154,988,0.001,0.05,True,False,0.84,3,0,None,i7186,3,759.53125,753.3229166666666,-1,0.31932495036399733,4976720
1746553265,1746553380,115,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4792 batch_size 2 gamma 3.50299400816891 alpha 0.05 use_mmd2 True use_k2s_test False,4792,2,3.50299400816891,0.05,True,False,None,None,1,None,i7183,,,,,,4976909
1746554883,1746554902,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4944 batch_size 3822 gamma 0.001 alpha 0.04801246623429677 use_mmd2 True use_k2s_test False,4944,3822,0.001,0.04801246623429677,True,False,0.84,2,0,None,i7184,2,757.50390625,751.7747395833334,-1,0,4977161
1746556748,1746556768,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4581 batch_size 466 gamma 8.233967960587933 alpha 0.05 use_mmd2 True use_k2s_test False,4581,466,8.233967960587933,0.05,True,False,0.84,4,0,None,i7180,4,773.734375,758.1783854166666,-1,0,4977442
1746558423,1746558443,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2266 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False,1,2266,10,0.05,True,False,0.84,2,0,None,i7185,2,759.87890625,753.7317708333334,-1,0,4977717
1746560046,1746560059,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2297 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False,1,2297,0.001,0.0005,False,False,0.84,1,0,None,i7185,1,750.6953125,750.6653645833334,-1,0,4977992
1746561643,1746561662,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3154 batch_size 985 gamma 0.001 alpha 0.029599600756797136 use_mmd2 True use_k2s_test False,3154,985,0.001,0.029599600756797136,True,False,0.84,3,0,None,i7180,3,761.4453125,753.4075520833334,-1,0,4978312
1746563343,1746563356,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3920 gamma 3.0663215419924787 alpha 0.05 use_mmd2 True use_k2s_test False,1,3920,3.0663215419924787,0.05,True,False,0.84,1,0,None,i7179,1,757.7890625,752.1653645833334,-1,0,4978569
1746564744,1746564770,26,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 3.218102484786426 alpha 0.0005 use_mmd2 False use_k2s_test False,5000,2,3.218102484786426,0.0005,False,False,0.84,9,0,None,i7183,9,748.89453125,748.8177083333334,-1,0.0006618133686300463,4978772
1746566416,1746566435,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 884 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False,1,884,0.001,0.05,True,False,0.84,3,0,None,i7186,3,763.86328125,753.7994791666666,-1,0.21608206485771012,4979014
1746567853,1746567891,38,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 2.9736725153718835 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,2.9736725153718835,0.05,True,False,None,None,1,None,i7181,,,,,,4979223
1746569597,1746569616,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2580 batch_size 3807 gamma 6.906941836409283 alpha 0.0005 use_mmd2 False use_k2s_test False,2580,3807,6.906941836409283,0.0005,False,False,0.84,1,0,None,i7184,1,749.05859375,749.0052083333334,-1,0,4979483
1746571104,1746571601,497,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 4.311061458932246 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,4.311061458932246,0.05,True,False,None,None,1,None,i7183,,,,,,4979747
1746572743,1746572756,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 5000 gamma 0.001 alpha 0.03145619787459297 use_mmd2 True use_k2s_test False,1,5000,0.001,0.03145619787459297,True,False,0.84,2,0,None,i7184,2,759.37109375,752.2877604166666,-1,0,4980032
1746574216,1746574229,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3700 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test False,1,3700,10,0.0005,False,False,0.84,1,0,None,i7185,1,749.98828125,749.9296875,-1,0,4980266
1746575946,1746575966,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3154 batch_size 987 gamma 0.001 alpha 0.02675173600616892 use_mmd2 False use_k2s_test False,3154,987,0.001,0.02675173600616892,False,False,0.84,2,0,None,i7186,2,748.6640625,748.5533854166666,-1,0.3183322303110523,4980533
1746577791,1746577810,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4491 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test False,1,4491,10,0.0005,True,False,0.84,1,0,None,i7183,1,755.92578125,751.0625,-1,0,4980853
1746579766,1746579786,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 1098 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False,1,1098,0.001,0.05,True,False,0.84,3,0,None,i7185,3,765.79296875,754.9427083333334,-1,0,4981154
1746581368,1746581496,128,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 3.5472926037157224 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,3.5472926037157224,0.05,True,False,None,None,1,None,i7185,,,,,,4981445
1746583388,1746583407,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2220 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test False,1,2220,10,0.0005,False,False,0.84,1,0,None,i7186,1,748.96875,748.93359375,-1,0,4981732
1746585207,1746585709,502,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test False,1,2,10,0.0005,True,False,None,None,1,None,i7180,,,,,,4981990
1746586909,1746586928,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3154 batch_size 980 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False,3154,980,0.001,0.0005,False,False,0.84,2,0,None,i7183,2,749.61328125,749.5572916666666,-1,0.3113831899404368,4982234
1746588514,1746588546,32,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 4473 gamma 8.393662008869509 alpha 0.05 use_mmd2 False use_k2s_test False,5000,4473,8.393662008869509,0.05,False,False,0.84,1,0,None,i7184,1,750.52734375,750.4765625,-1,0,4982481
1746590230,1746590249,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 1648 gamma 0.001 alpha 0.025095075115241536 use_mmd2 False use_k2s_test False,1,1648,0.001,0.025095075115241536,False,False,0.84,2,0,None,i7183,2,750.09765625,749.5677083333334,-1,0,4982772
1746591986,1746592005,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 4610 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False,5000,4610,0.001,0.05,True,False,0.84,2,0,None,i7180,2,759.203125,752.23828125,-1,0,4983032
1746593767,1746593780,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2973 gamma 3.9643761478970454 alpha 0.0005 use_mmd2 False use_k2s_test False,1,2973,3.9643761478970454,0.0005,False,False,0.84,1,0,None,i7186,1,749.453125,749.3854166666666,-1,0,4983319
1746595385,1746596190,805,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4628 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test True,1,4628,0.001,0.05,True,True,0.84,780,0,None,i7184,780,1336.63671875,1222.39873046875,-1,0,4983549
1746597225,1746597295,70,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 959 batch_size 2 gamma 3.3681355591784388 alpha 0.0005 use_mmd2 True use_k2s_test False,959,2,3.3681355591784388,0.0005,True,False,None,None,1,None,i7185,,,,,,4983813
1746599087,1746599100,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 877 gamma 0.001 alpha 0.026990205631589766 use_mmd2 True use_k2s_test False,5000,877,0.001,0.026990205631589766,True,False,0.84,3,0,None,i7181,3,763.0234375,753.4778645833334,-1,0.20913302448709464,4984117
1746600848,1746600862,14,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 1701 gamma 0.872213495227351 alpha 0.0005 use_mmd2 False use_k2s_test False,1,1701,0.872213495227351,0.0005,False,False,0.84,2,0,None,i7182,2,749.5234375,748.9453125,-1,0,4984376
1746602345,1746602876,531,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 6.539278791063121 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,6.539278791063121,0.05,True,False,None,None,1,None,i7182,,,,,,4984637
1746603836,1746603855,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 1474 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False,1,1474,0.001,0.0005,False,False,0.84,2,0,None,i7184,2,749.015625,748.65625,-1,0,4984863
1746605391,1746605404,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 530 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False,5000,530,0.001,0.05,False,False,0.83,2,0,None,i7185,2,749.74609375,749.2174479166666,-1,0,4985151
1746607103,1746607160,57,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 2.9193241153669027 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,2.9193241153669027,0.05,True,False,None,None,1,None,i7180,,,,,,4985410
1746608811,1746608831,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 364 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False,5000,364,10,0.05,True,False,0.84,4,0,None,i7183,4,765.90625,755.7799479166666,-1,0,4985687
1746610122,1746610142,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4844 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test False,1,4844,10,0.0005,True,False,0.84,2,0,None,i7183,2,757.234375,752.4934895833334,-1,0,4985907
1746611942,1746612524,582,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,10,0.05,True,False,None,None,1,None,i7184,,,,,,4986180
1746613532,1746613571,39,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 2.740825604199523 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,2.740825604199523,0.05,True,False,None,None,1,None,i7182,,,,,,4986429
1746615090,1746615116,26,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2664 gamma 5.5483631582962545 alpha 0.05 use_mmd2 True use_k2s_test False,1,2664,5.5483631582962545,0.05,True,False,0.84,2,0,None,i7174,2,759.734375,752.546875,-1,0,4986671
1746616633,1746616652,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 479 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test False,1,479,10,0.05,False,False,0.84,1,0,None,i7185,1,750.30078125,750.234375,-1,0,4986986
1746618378,1746618397,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 1125 gamma 0.001 alpha 0.02247119113500594 use_mmd2 True use_k2s_test False,1,1125,0.001,0.02247119113500594,True,False,0.84,4,0,None,i7180,4,802.92578125,767.5182291666666,-1,0.08305757776307081,4987258
1746620063,1746620082,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2267 batch_size 2924 gamma 6.051656423335367 alpha 0.0005 use_mmd2 False use_k2s_test False,2267,2924,6.051656423335367,0.0005,False,False,0.84,1,0,None,i7180,1,748.82421875,748.7916666666666,-1,0,4987503
1746621779,1746621818,39,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2 gamma 3.345976718324853 alpha 0.05 use_mmd2 False use_k2s_test False,1,2,3.345976718324853,0.05,False,False,0.84,10,0,None,i7184,10,750.09375,750.0377604166666,-1,0.0006618133686300463,4987750
1746623503,1746623547,44,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 3.05110350166303 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,3.05110350166303,0.05,True,False,None,None,1,None,i7181,,,,,,4987992
1746625104,1746625168,64,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 3.1945404687798105 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,2,3.1945404687798105,0.0005,True,False,None,None,1,None,i7183,,,,,,4988210
1746626587,1746626625,38,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3441 gamma 2.8576886427913974 alpha 0.014807750067259502 use_mmd2 False use_k2s_test False,1,3441,2.8576886427913974,0.014807750067259502,False,False,0.84,1,0,None,i7184,1,750.3359375,750.30078125,-1,0,4988464
1746627984,1746628004,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 13 batch_size 1563 gamma 4.796443886270473 alpha 0.0005 use_mmd2 True use_k2s_test False,13,1563,4.796443886270473,0.0005,True,False,0.84,2,0,None,i7180,2,757.671875,751.69921875,-1,0,4988670
1746629742,1746629761,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 1285 gamma 9.737079957105964 alpha 0.0005 use_mmd2 True use_k2s_test False,1,1285,9.737079957105964,0.0005,True,False,0.84,2,0,None,i7180,2,787.3828125,761.9934895833334,-1,0,4988924
1746631646,1746632250,604,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False,1,2,10,0.05,True,False,None,None,1,None,i7184,,,,,,4989207
1746634069,1746634088,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 5000 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False,1,5000,10,0.05,True,False,0.84,2,0,None,i7184,2,757.53125,752.5559895833334,-1,0,4989615
1746635717,1746635802,85,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 3.398740470316515 alpha 0.008143542935461944 use_mmd2 True use_k2s_test False,5000,2,3.398740470316515,0.008143542935461944,True,False,None,None,1,None,i7178,,,,,,4991228
1746637547,1746637567,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1707 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,1707,0.001,0.0005,True,False,0.84,4,0,None,i7176,4,757.82421875,751.8502604166666,-1,0,4992686
1746638987,1746639045,58,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 3.254810871858109 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,3.254810871858109,0.05,True,False,None,None,1,None,i7182,,,,,,4992895
1746640718,1746640731,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 4670 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test False,5000,4670,10,0.0005,False,False,0.84,1,0,None,i7181,1,749.75390625,749.7044270833334,-1,0,4993154
1746642377,1746642390,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3795 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False,1,3795,0.001,0.05,True,False,0.84,1,0,None,i7183,1,756.390625,751.2317708333334,-1,0,4993388
1746644291,1746644962,671,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 4.115301829232099 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,4.115301829232099,0.05,True,False,None,None,1,None,i7176,,,,,,4993667
1746646048,1746646061,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 1238 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test False,1,1238,10,0.05,False,False,0.84,1,0,None,i7174,1,749.05078125,749.01953125,-1,0,4993934
1746647598,1746647675,77,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 3.222779959214982 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,3.222779959214982,0.05,True,False,None,None,1,None,i7184,,,,,,4994126
1746649313,1746649333,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 15 batch_size 2301 gamma 2.74706926909209 alpha 0.02484560087479621 use_mmd2 True use_k2s_test False,15,2301,2.74706926909209,0.02484560087479621,True,False,0.84,2,0,None,i7183,2,758.5546875,752.68359375,-1,0,4994396
1746650849,1746650901,52,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 3.159087007677706 alpha 0.03325533642845381 use_mmd2 True use_k2s_test False,5000,2,3.159087007677706,0.03325533642845381,True,False,None,None,1,None,i7183,,,,,,4994620
1746652609,1746652629,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3153 batch_size 998 gamma 0.001 alpha 0.014689504795473946 use_mmd2 True use_k2s_test False,3153,998,0.001,0.014689504795473946,True,False,0.84,3,0,None,i7181,3,758.453125,752.5989583333334,-1,0.32925215089344806,4994879
1746654113,1746654127,14,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2664 gamma 6.511962265811513 alpha 0.022855267967416434 use_mmd2 True use_k2s_test False,1,2664,6.511962265811513,0.022855267967416434,True,False,0.84,2,0,None,i7181,2,760.25,752.8723958333334,-1,0,4995103
1746655970,1746656099,129,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 3.4517577593110667 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,2,3.4517577593110667,0.0005,True,False,None,None,1,None,i7185,,,,,,4995356
1746657571,1746658098,527,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,2,10,0.0005,True,False,None,None,1,None,i7185,,,,,,4995618
1746658992,1746659539,547,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2 gamma 4.112327243775115 alpha 0.0005 use_mmd2 True use_k2s_test False,1,2,4.112327243775115,0.0005,True,False,None,None,1,None,i7185,,,,,,4995807
1746660794,1746660807,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 904 gamma 8.696893656357837 alpha 0.0005 use_mmd2 False use_k2s_test False,1,904,8.696893656357837,0.0005,False,False,0.84,1,0,None,i7185,1,749.65625,749.6119791666666,-1,0,4996088
1746662368,1746662388,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2475 batch_size 1078 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test False,2475,1078,0.001,0.0005,True,False,0.84,2,0,None,i7173,2,757.59765625,752.5950520833334,-1,0,4996367
1746664058,1746664083,25,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4473 batch_size 4146 gamma 5.255002215032614 alpha 0.0005 use_mmd2 True use_k2s_test False,4473,4146,5.255002215032614,0.0005,True,False,0.84,2,0,None,i7182,2,758.1484375,752.3736979166666,-1,0,4996626
1746665681,1746666425,744,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,10,0.05,True,False,None,None,1,None,i7184,,,,,,4996831
1746668054,1746668112,58,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 28 gamma 9.437661482608545 alpha 0.0005 use_mmd2 True use_k2s_test False,1,28,9.437661482608545,0.0005,True,False,0.84,41,0,None,i7185,41,950.0078125,834.6037946428571,-1,0,4997154
1746669919,1746669938,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 3545 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False,5000,3545,0.001,0.05,True,False,0.84,2,0,None,i7185,2,757.8203125,752.8111979166666,-1,0,4997429
1746671609,1746671629,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 679 gamma 10 alpha 0.005576849341301715 use_mmd2 False use_k2s_test False,5000,679,10,0.005576849341301715,False,False,0.84,1,0,None,i7184,1,750.78515625,750.7473958333334,-1,0,4997687
1746673570,1746673602,32,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4120 gamma 6.873437663136771 alpha 0.05 use_mmd2 True use_k2s_test False,1,4120,6.873437663136771,0.05,True,False,0.84,2,0,None,i7182,2,878.49609375,793.0911458333334,-1,0,4997935
1746675584,1746675603,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 4902 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test False,5000,4902,10,0.05,False,False,0.84,1,0,None,i7183,1,749.76171875,749.7005208333334,-1,0,4998223
1746677566,1746677732,166,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 3.767046382186539 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,3.767046382186539,0.05,True,False,None,None,1,None,i7183,,,,,,4998512
1746679676,1746679689,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3854 gamma 10 alpha 0.02085045030789836 use_mmd2 False use_k2s_test False,1,3854,10,0.02085045030789836,False,False,0.84,1,0,None,i7185,1,749.27734375,749.2473958333334,-1,0,4998789
1746681460,1746681480,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 978 gamma 3.9195759081944908 alpha 0.05 use_mmd2 True use_k2s_test False,5000,978,3.9195759081944908,0.05,True,False,0.84,4,0,None,i7180,4,759.578125,751.7213541666666,-1,0,4999050
1746683467,1746684045,578,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 4.037339762039202 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,4.037339762039202,0.05,True,False,None,None,1,None,i7184,,,,,,4999328
1746685194,1746685213,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 5000 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False,5000,5000,0.001,0.05,False,False,0.84,1,0,None,i7183,1,748.8828125,748.83203125,-1,0,4999567
1746687199,1746687225,26,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3754 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False,1,3754,10,0.05,True,False,0.84,2,0,None,i7184,2,757.51171875,751.8059895833334,-1,0,4999841
1746689142,1746689155,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2088 batch_size 2398 gamma 8.006345069451184 alpha 0.0005 use_mmd2 True use_k2s_test False,2088,2398,8.006345069451184,0.0005,True,False,0.84,2,0,None,i7185,2,759.5703125,752.4453125,-1,0,5000092
1746691007,1746691020,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 289 batch_size 4150 gamma 4.670423590176068 alpha 0.05 use_mmd2 False use_k2s_test False,289,4150,4.670423590176068,0.05,False,False,0.84,1,0,None,i7185,1,748.78125,748.71484375,-1,0,5000315
1746692782,1746693421,639,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,10,0.05,True,False,None,None,1,None,i7176,,,,,,5000622
1746694538,1746694672,134,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 3.63994329201207 alpha 0.03222124564943765 use_mmd2 True use_k2s_test False,5000,2,3.63994329201207,0.03222124564943765,True,False,None,None,1,None,i7186,,,,,,5000868
1746696389,1746696402,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 3560 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False,5000,3560,0.001,0.0005,False,False,0.84,1,0,None,i7178,1,749.484375,749.4192708333334,-1,0,5001165
1746698554,1746698574,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2215 gamma 4.961632870523199 alpha 0.05 use_mmd2 True use_k2s_test False,1,2215,4.961632870523199,0.05,True,False,0.84,3,0,None,i7179,3,758.359375,751.92578125,-1,0,5001450
1746700988,1746701001,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1595 gamma 6.60886634920118 alpha 0.0005 use_mmd2 False use_k2s_test False,5000,1595,6.60886634920118,0.0005,False,False,0.84,1,0,None,i7181,1,748.765625,748.6966145833334,-1,0,5001812
1746703008,1746703021,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3118 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test False,1,3118,10,0.0005,True,False,0.84,2,0,None,i7184,2,756.484375,752.0169270833334,-1,0,5002072
1746705141,1746705680,539,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 5.265707327554267 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,5.265707327554267,0.05,True,False,None,None,1,None,i7185,,,,,,5002442
1746707611,1746707771,160,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 3.9477775769456445 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,3.9477775769456445,0.05,True,False,None,None,1,None,i7181,,,,,,5002809
1746709564,1746709583,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 4095 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test False,5000,4095,10,0.05,False,False,0.84,1,0,None,i7185,1,749.15234375,749.1197916666666,-1,0,5003055
1746711074,1746711566,492,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 4.235289430536826 alpha 0.012940867310016096 use_mmd2 True use_k2s_test False,5000,2,4.235289430536826,0.012940867310016096,True,False,None,None,1,None,i7181,,,,,,5003259
1746713052,1746713065,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1261 batch_size 1984 gamma 10 alpha 0.030527733227835897 use_mmd2 True use_k2s_test False,1261,1984,10,0.030527733227835897,True,False,0.84,2,0,None,i7183,2,759.78515625,752.5546875,-1,0,5003514
1746714831,1746714846,15,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2887 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test False,5000,2887,10,0.0005,False,False,0.84,1,0,None,i7182,1,749.44921875,749.4049479166666,-1,0,5003777
1746717056,1746717069,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 3769 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False,5000,3769,0.001,0.05,False,False,0.84,1,0,None,i7181,1,748.765625,748.7044270833334,-1,0,5004296
1746719351,1746719364,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 4848 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test False,5000,4848,10,0.0005,False,False,0.84,1,0,None,i7183,1,749.4609375,749.39453125,-1,0,5004677
1746721551,1746722048,497,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 4.635835302272978 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,4.635835302272978,0.05,True,False,None,None,1,None,i7183,,,,,,5004981
1746723752,1746723771,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4368 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test False,1,4368,10,0.0005,False,False,0.84,1,0,None,i7183,1,749.52734375,748.2760416666666,-1,0,5005302
1746726203,1746726216,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 48 batch_size 2374 gamma 0.001 alpha 0.035406743233175976 use_mmd2 False use_k2s_test False,48,2374,0.001,0.035406743233175976,False,False,0.84,1,0,None,i7186,1,750.11328125,749.5494791666666,-1,0.12409000661813369,5005676
1746729653,1746729666,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 285 batch_size 1995 gamma 8.15499089308036 alpha 0.05 use_mmd2 True use_k2s_test False,285,1995,8.15499089308036,0.05,True,False,0.84,2,0,None,i7183,2,759.6328125,752.48828125,-1,0,5006182
1746731968,1746732683,715,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 3.9995833152730693 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,3.9995833152730693,0.05,True,False,None,None,1,None,i7184,,,,,,5006513
1746733875,1746733888,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 4955 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,4955,10,0.0005,True,False,0.84,2,0,None,i7180,2,757.8203125,752.03125,-1,0,5006785
1746736463,1746737039,576,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 10 alpha 0.00446077276029703 use_mmd2 True use_k2s_test False,5000,2,10,0.00446077276029703,True,False,None,None,1,None,i7184,,,,,,5007203
1746738835,1746738993,158,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2 gamma 3.878336273564186 alpha 0.0005 use_mmd2 True use_k2s_test False,1,2,3.878336273564186,0.0005,True,False,None,None,1,None,i7183,,,,,,5007571
1746740876,1746740889,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 5000 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test False,1,5000,10,0.0005,False,False,0.84,1,0,None,i7184,1,750.1640625,750.0872395833334,-1,0,5007848
1746743279,1746743867,588,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 4.248954738551074 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,4.248954738551074,0.05,True,False,None,None,1,None,i7184,,,,,,5008200
1746745860,1746745873,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2475 batch_size 1013 gamma 1.7474489249967498 alpha 0.021375735860924845 use_mmd2 False use_k2s_test False,2475,1013,1.7474489249967498,0.021375735860924845,False,False,0.84,1,0,None,i7183,1,749.99609375,749.94140625,-1,0,5008552
1746747963,1746747976,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4874 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test False,1,4874,0.001,0.0005,True,False,0.84,1,0,None,i7183,1,757.546875,751.8333333333334,-1,0,5008826
1746750967,1746750980,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 3167 gamma 10 alpha 0.019666815796449206 use_mmd2 True use_k2s_test False,5000,3167,10,0.019666815796449206,True,False,0.84,1,0,None,i7182,1,756.578125,751.953125,-1,0,5009240
1746753640,1746753653,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 34 batch_size 1771 gamma 6.451862844537036 alpha 0.05 use_mmd2 False use_k2s_test False,34,1771,6.451862844537036,0.05,False,False,0.84,1,0,None,i7183,1,747.64453125,747.6145833333334,-1,0,5009659
1746755680,1746755694,14,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3300 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False,1,3300,0.001,0.05,False,False,0.84,1,0,None,i7185,1,750.69921875,750.5494791666666,-1,0,5009917
1746758084,1746758104,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2285 batch_size 3110 gamma 3.483920241071781 alpha 0.05 use_mmd2 False use_k2s_test False,2285,3110,3.483920241071781,0.05,False,False,0.84,1,0,None,i7186,1,748.7265625,748.5104166666666,-1,0,5010222
1746760813,1746760826,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4562 batch_size 2286 gamma 2.7469300416696787 alpha 0.0005 use_mmd2 True use_k2s_test False,4562,2286,2.7469300416696787,0.0005,True,False,0.84,2,0,None,i7183,2,757.91796875,751.8151041666666,-1,0,5010622
1746763305,1746763376,71,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 3.361999288356203 alpha 0.0005 use_mmd2 True use_k2s_test False,5000,2,3.361999288356203,0.0005,True,False,None,None,1,None,i7184,,,,,,5011004
1746766054,1746766074,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1446 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False,5000,1446,10,0.05,True,False,0.84,3,0,None,i7186,3,767.046875,755.08984375,-1,0,5011378
1746768393,1746768406,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2453 batch_size 1127 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False,2453,1127,0.001,0.0005,False,False,0.84,2,0,None,i7183,2,748.92578125,748.6770833333334,-1,0,5011697
1746770873,1746770886,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4750 batch_size 3215 gamma 6.562280421449385 alpha 0.05 use_mmd2 False use_k2s_test False,4750,3215,6.562280421449385,0.05,False,False,0.84,1,0,None,i7184,1,749.2578125,749.18359375,-1,0,5012050
1746773433,1746773446,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4918 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False,1,4918,0.001,0.05,True,False,0.84,1,0,None,i7181,1,757.44140625,751.71484375,-1,0,5012424
1746775576,1746775589,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2963 gamma 0.001 alpha 0.03032751825887133 use_mmd2 False use_k2s_test False,5000,2963,0.001,0.03032751825887133,False,False,0.84,1,0,None,i7186,1,750.08203125,749.9674479166666,-1,0.3189940436796823,5012719
1746778170,1746778196,26,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2711 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test False,1,2711,10,0.0005,True,False,0.84,2,0,None,i7185,2,760.35546875,753.2005208333334,-1,0,5013095
1746780488,1746780507,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4373 batch_size 4171 gamma 0.001 alpha 0.012476900788050043 use_mmd2 True use_k2s_test False,4373,4171,0.001,0.012476900788050043,True,False,0.84,1,0,None,i7185,1,760.02734375,752.8567708333334,-1,0,5013378
1746783058,1746783103,45,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 3.016845881762502 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,3.016845881762502,0.05,True,False,None,None,1,None,i7186,,,,,,5013719
1746785540,1746785559,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 388 gamma 5.131986010327203 alpha 0.05 use_mmd2 True use_k2s_test False,5000,388,5.131986010327203,0.05,True,False,0.84,4,0,None,i7183,4,778.1953125,759.67578125,-1,0,5014093
1746787817,1746787951,134,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 3.669092979995324 alpha 0.042547873992041595 use_mmd2 True use_k2s_test False,5000,2,3.669092979995324,0.042547873992041595,True,False,None,None,1,None,i7185,,,,,,5014436
1746790186,1746790206,20,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 4.087348217369331 alpha 0.05 use_mmd2 False use_k2s_test False,5000,2,4.087348217369331,0.05,False,False,0.84,9,0,None,i7180,9,748.82421875,748.7473958333334,-1,0.0006618133686300463,5014852
1746792349,1746792887,538,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 7.174988242894249 alpha 0.05 use_mmd2 True use_k2s_test False,5000,2,7.174988242894249,0.05,True,False,None,None,1,None,i7185,,,,,,5015252
1746794904,1746794923,19,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 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1975 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False,5000,1975,0.001,0.05,False,False,0.84,1,0,None,i7184,1,749.3515625,749.2447916666666,-1,0,5015680
1746797170,1746797191,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4724 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False,1,4724,0.001,0.0005,False,False,0.84,1,0,None,i7181,1,748.6796875,748.56640625,-1,0,5018024

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timestamp,ram_usage_mb,cpu_usage_percent
1746192416,648.671875,31.6
1746192416,648.67578125,33.4
1746192417,648.734375,31.9
1746192417,648.734375,33.3
1746192417,648.734375,33.3
1746192417,648.734375,35.0
1746192417,648.734375,34.7
1746204336,893.015625,39.6
1746204336,893.015625,35.0
1746204336,893.015625,35.3
1746204336,893.015625,36.5
1746216189,983.4140625,30.5
1746216189,983.4140625,23.3
1746216190,983.4140625,22.9
1746216190,983.4140625,30.2
1746226015,1019.59765625,18.7
1746226016,1019.59765625,17.0
1746226016,1019.59765625,16.2
1746226016,1019.59765625,16.0
1746238466,1058.2109375,16.1
1746238466,1058.2109375,15.3
1746238466,1058.2109375,14.8
1746238466,1058.2109375,14.3
1746249664,1052.84375,15.5
1746249664,1052.84375,13.7
1746249664,1052.84375,13.8
1746249664,1052.84375,8.3
1746261520,1085.5,16.4
1746261520,1085.5,14.0
1746261520,1085.5,13.9
1746261520,1085.5,14.0
1746277350,1049.75,16.5
1746277350,1049.75,15.1
1746277351,1049.75,15.1
1746277351,1049.75,14.6
1746294698,1117.7109375,19.5
1746294698,1117.7109375,23.9
1746294698,1117.7109375,23.6
1746294698,1117.7109375,23.7
1746306983,1191.6796875,20.3
1746306983,1191.6796875,18.7
1746306983,1191.6796875,18.0
1746306983,1191.6796875,17.6
1746321242,1174.97265625,19.9
1746321242,1174.97265625,21.8
1746321242,1174.97265625,22.9
1746321242,1174.97265625,15.8
1746338035,1249.3984375,20.2
1746338035,1249.3984375,19.5
1746338035,1249.3984375,20.6
1746338035,1249.3984375,25.0
1746355680,1234.96484375,20.3
1746355680,1234.96484375,23.3
1746355680,1234.96484375,21.3
1746355680,1234.96484375,17.9
1746375893,1231.35546875,24.7
1746375893,1231.35546875,20.2
1746375893,1231.35546875,20.2
1746375893,1231.35546875,19.1
1746398455,1247.26171875,26.9
1746398455,1247.26171875,25.6
1746398455,1247.26171875,26.0
1746398455,1247.26171875,28.6
1746420789,1279.84375,21.9
1746420789,1279.84375,21.7
1746420789,1279.84375,21.1
1746420789,1279.84375,25.9
1746445241,1290.921875,20.7
1746445241,1290.921875,23.9
1746445241,1290.921875,23.9
1746445241,1290.921875,25.5
1746471943,1304.6953125,20.5
1746471943,1304.6953125,22.0
1746471943,1304.6953125,21.4
1746471943,1304.6953125,21.7
1746502131,1323.72265625,20.3
1746502131,1323.72265625,22.4
1746502131,1323.72265625,22.1
1746502131,1323.72265625,25.0
1746532554,1322.11328125,20.4
1746532554,1322.11328125,22.4
1746532554,1322.11328125,21.8
1746532554,1322.11328125,17.4
1746564759,1394.19140625,17.3
1746564759,1394.19140625,16.3
1746564759,1394.19140625,16.2
1746564759,1394.19140625,19.2
1746599114,1368.8125,16.1
1746599114,1368.8125,16.5
1746599114,1368.8125,15.9
1746599114,1368.8125,22.0
1746631637,1415.33203125,13.7
1746631637,1415.33203125,12.0
1746631637,1415.33203125,11.5
1746631637,1415.33203125,8.1
1746665691,1418.84765625,11.9
1746665691,1418.84765625,12.3
1746665692,1418.84765625,11.8
1746665692,1418.84765625,8.5
1746705161,1431.41796875,13.0
1746705161,1431.41796875,15.1
1746705161,1431.41796875,15.4
1746705161,1431.41796875,14.3
1746750987,1565.7265625,21.3
1746750987,1565.7265625,19.2
1746750987,1565.7265625,19.2
1746750987,1565.7265625,19.1

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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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			}
			
			.window {
				width: fit-content;
				min-width: 100%;
			}
			
			.top_link {
				display: inline-block;
				padding: 5px 5px;
				background-color: #007bff; /* Blau, kannst du anpassen */
				color: white;
				text-decoration: none;
				font-size: 16px;
				font-weight: bold;
				border-radius: 6px;
				border: 2px solid #0056b3;
				text-align: center;
				transition: all 0.3s ease-in-out;
			}
			
			.top_link:hover {
				background-color: #0056b3;
				border-color: #004494;
			}
			
			.top_link:active {
				background-color: #003366;
				border-color: #002244;
			}
			
			button {
				color: black;
			}
			
			.share_folder_buttons {
				width: fit-content;
			}
			
			button {
				background: #fcfcfe;
				border-color: #919b9c;
				border-top-color: rgb(145, 155, 156);
				border-bottom-color: rgb(145, 155, 156);
				margin-right: -1px;
				border-bottom: 1px solid transparent;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c;
			}
			
			button {
				padding-bottom: 2px;
				margin-top: -2px;
				background-color: #ece9d8;
				position: relative;
				z-index: 8;
				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 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			}
			
			: :-webkit-scrollbar-button: vertical: end{
				height: 17px;
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			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 17px;
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			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 17px;
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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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			        20.4
			    ],
			    [
			        1746532554,
			        1322.11328125,
			        22.4
			    ],
			    [
			        1746532554,
			        1322.11328125,
			        21.8
			    ],
			    [
			        1746532554,
			        1322.11328125,
			        17.4
			    ],
			    [
			        1746564759,
			        1394.19140625,
			        17.3
			    ],
			    [
			        1746564759,
			        1394.19140625,
			        16.3
			    ],
			    [
			        1746564759,
			        1394.19140625,
			        16.2
			    ],
			    [
			        1746564759,
			        1394.19140625,
			        19.2
			    ],
			    [
			        1746599114,
			        1368.8125,
			        16.1
			    ],
			    [
			        1746599114,
			        1368.8125,
			        16.5
			    ],
			    [
			        1746599114,
			        1368.8125,
			        15.9
			    ],
			    [
			        1746599114,
			        1368.8125,
			        22
			    ],
			    [
			        1746631637,
			        1415.33203125,
			        13.7
			    ],
			    [
			        1746631637,
			        1415.33203125,
			        12
			    ],
			    [
			        1746631637,
			        1415.33203125,
			        11.5
			    ],
			    [
			        1746631637,
			        1415.33203125,
			        8.1
			    ],
			    [
			        1746665691,
			        1418.84765625,
			        11.9
			    ],
			    [
			        1746665691,
			        1418.84765625,
			        12.3
			    ],
			    [
			        1746665692,
			        1418.84765625,
			        11.8
			    ],
			    [
			        1746665692,
			        1418.84765625,
			        8.5
			    ],
			    [
			        1746705161,
			        1431.41796875,
			        13
			    ],
			    [
			        1746705161,
			        1431.41796875,
			        15.1
			    ],
			    [
			        1746705161,
			        1431.41796875,
			        15.4
			    ],
			    [
			        1746705161,
			        1431.41796875,
			        14.3
			    ],
			    [
			        1746750987,
			        1565.7265625,
			        21.3
			    ],
			    [
			        1746750987,
			        1565.7265625,
			        19.2
			    ],
			    [
			        1746750987,
			        1565.7265625,
			        19.2
			    ],
			    [
			        1746750987,
			        1565.7265625,
			        19.1
			    ]
			];
			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) &&
						!col.startsWith("OO_Info") &&
						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) &&
						!col.startsWith("OO_Info") &&
						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) &&
					!col.startsWith("OO_Info") &&
					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;
					}
					if (!col.startsWith("OO_Info")) {
						return;
					}
					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) &&
					!col.startsWith("OO_Info") &&
					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) &&
					!col.startsWith("OO_Info") &&
					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();
			}
			
			function plotTimelineFromGlobals() {
				if (
					typeof tab_results_headers_json === "undefined" ||
					typeof tab_results_csv_json === "undefined" ||
					!Array.isArray(tab_results_headers_json) ||
					!Array.isArray(tab_results_csv_json)
				) {
					console.warn("Global variables 'tab_results_headers_json' or 'tab_results_csv_json' missing or invalid.");
					return null;
				}
			
				const headers = tab_results_headers_json;
				const data = tab_results_csv_json;
			
				const col = name => headers.indexOf(name);
				const ix_trial_index = col("trial_index");
				const ix_start_time = col("start_time");
				const ix_end_time = col("end_time");
				const ix_status = col("trial_status");
			
				if ([ix_trial_index, ix_start_time, ix_end_time, ix_status].some(ix => ix === -1)) {
					console.warn("One or more needed columns missing");
					return null;
				}
			
				const traces = [];
			
				// Add dummy traces for legend
				traces.push({
					type: "scatter",
					mode: "lines",
					x: [null, null],
					y: [null, null],
					line: { color: "green", width: 4 },
					name: "COMPLETED",
					showlegend: true,
					hoverinfo: "none"
				});
				traces.push({
					type: "scatter",
					mode: "lines",
					x: [null, null],
					y: [null, null],
					line: { color: "yellow", width: 4 },
					name: "RUNNING",
					showlegend: true,
					hoverinfo: "none"
				});
				traces.push({
					type: "scatter",
					mode: "lines",
					x: [null, null],
					y: [null, null],
					line: { color: "red", width: 4 },
					name: "FAILED/OTHER",
					showlegend: true,
					hoverinfo: "none"
				});
			
				for (const row of data) {
					const trial_index = row[ix_trial_index];
					const start = row[ix_start_time];
					const end = row[ix_end_time];
					const status = row[ix_status];
			
					if (
						trial_index === "" || start === "" || end === "" ||
						isNaN(start) || isNaN(end)
					) continue;
			
					let color = "red"; // default
					if (status === "COMPLETED") color = "green";
					else if (status === "RUNNING") color = "yellow";
			
					traces.push({
						type: "scatter",
						mode: "lines",
						x: [new Date(start * 1000), new Date(end * 1000)],
						y: [trial_index, trial_index],
						line: { color: color, width: 4 },
						name: `Trial ${trial_index} (${status})`,
						showlegend: false,
						hoverinfo: "x+y+name"
					});
				}
			
				if (traces.length <= 3) { // only dummy traces added
					console.warn("No valid data for plotting found.");
					return null;
				}
			
				const layout = {
					title: "Trial Timeline",
					xaxis: {
						title: "Time",
						type: "date"
					},
					yaxis: {
						title: "Trial Index",
						autorange: "reversed"
					},
					margin: { t: 50 }
				};
			
				Plotly.newPlot('plot_timeline', traces, add_default_layout_data(layout));
				return true;
			}
			
			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();

				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>50471 </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>32    </td></tr><tr><td> Nr. imported jobs</td><td>471   </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> batch_size</td><td>int</td><td>2</td><td>5000</td><td></td><td>int</td><td>No         </td></tr><tr><td> gamma</td><td>float</td><td>0.001</td><td>10</td><td></td><td>float</td><td>No         </td></tr><tr><td> alpha</td><td>float</td><td>0.0005</td><td>0.05</td><td></td><td>float</td><td>No         </td></tr><tr><td> use_mmd2</td><td>choice</td><td></td><td></td><td>True, False</td><td></td><td></td></tr><tr><td> use_k2s_test</td><td>choice</td><td></td><td></td><td>True, False</td><td></td><td></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>151</td>
			<td>867</td>
			<td>1</td>
			<td>1019</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,batch_size,gamma,alpha,use_mmd2,use_k2s_test
0,0_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,1748,2357,4.524439715415240037543753714999,0.011312672123312951175111429336,False,False
1,1_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,325.000000000000000000000000000000,4383,3901,6.580692578160205030712859297637,0.035384583482518792985072053625,True,True
2,2_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,6140.000000000000000000000000000000,2995,131,2.458752418193034916527039968059,0.017416895132511853866441597916,True,True
3,3_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,632,3625,8.958772646372207049125790945254,0.041684806132689121438428259125,False,False
4,4_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,205,812,5.073421225205064111207775567891,0.049254088720306760107447985320,False,False
5,5_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,843.000000000000000000000000000000,3505,2944,3.531956738153472663555021426873,0.025182199858129025032971171072,True,True
6,6_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,675.000000000000000000000000000000,3951,1714,8.007788931418209799062424281146,0.030799033051356675821930153347,True,True
7,7_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,2253,4543,0.909980750640854263444623484247,0.006531150080263614654541015625,False,False
8,8_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,4.000000000000000000000000000000,2077,361,8.169215534483083018812976661138,0.021904919655993580762665118300,True,False
9,9_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,470.000000000000000000000000000000,4128,3387,0.415335538270883264377886234797,0.046363519523292782975598669282,False,True
10,10_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,789.000000000000000000000000000000,3330,2117,6.094737720006146552975678787334,0.003235721783712506346292192561,False,True
11,11_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,379,4129,2.802359134047292421598740475019,0.027890333462506532863356412122,True,False
12,12_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,2.000000000000000000000000000000,1119,1319,1.375777545800432433154014688625,0.032498535081744196750808129082,True,False
13,13_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,448.000000000000000000000000000000,2508,4928,9.708528872210532512099234736525,0.008039910135790705875136197278,False,True
14,14_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1153.000000000000000000000000000000,4873,1198,4.300172157177701848240758408792,0.038768560081720353227563435894,False,True
15,15_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,2.000000000000000000000000000000,1259,2550,7.096678850159049645185405097436,0.014113929225131870495713037883,True,False
16,16_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1474.000000000000000000000000000000,1437,962,0.093109598981216554203221846819,0.029257667011115703198376181149,False,True
17,17_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,2.000000000000000000000000000000,4699,2777,8.510976115904748340312835352961,0.004992350914049894367030546505,True,False
18,18_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,2.000000000000000000000000000000,2690,1546,3.105060562981292626716367522022,0.047715372166130691489183135445,True,False
19,19_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,371.000000000000000000000000000000,951,4691,5.811569741230458774339240335394,0.023640774809289725327809961186,False,True
20,20_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,568.000000000000000000000000000000,518,1880,9.386278516084887613146747753490,0.018958285052794964647970843430,False,True
21,21_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,3196,4357,1.717551853544078799274075208814,0.043223581972066313361402478677,True,False
22,22_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,3.000000000000000000000000000000,4272,588,7.399395197388717093645027489401,0.012851412926334888561785696481,True,False
23,23_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,448.000000000000000000000000000000,1947,3150,4.016980953539722065670503070578,0.036925985204521567795143965895,False,True
24,24_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,731.000000000000000000000000000000,2398,1796,6.277972059022635775704657135066,0.040308829576242717618317357164,True,True
25,25_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,3821,4471,4.807626607460901979607115208637,0.015656824602279812569394223942,False,False
26,26_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,3644,741,9.281017638616264164852509566117,0.034041465864051136114287743339,False,False
27,27_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,386.000000000000000000000000000000,70,3025,2.116972746567800545136606160668,0.009580167828593404502623975816,True,True
28,28_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,2954.000000000000000000000000000000,815,212,3.229259481127373820896764300414,0.001695428962353617060448973675,True,True
29,29_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,2826,3555,5.356593375888653696392793790437,0.026347461965400727212927023402,False,False
30,30_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,4562,2286,1.232212053812108853989570889098,0.020361965546850116504096206427,False,False
31,31_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,576.000000000000000000000000000000,1575,3981,7.666033713878133148966753651621,0.044823285710532220771362688083,True,True
32,32_0,FAILED,Sobol,SOBOL,,,1676,20,6.051473666157574093915627599927,0.036291989632416518651858439171,False,True
33,33_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,2.000000000000000000000000000000,4626,3746,2.552530845521018054711248623789,0.011830713725183159695797385780,True,False
34,34_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,2.000000000000000000000000000000,2930,2478,8.429590387560427444668675889261,0.042566162936855111986744759633,True,False
35,35_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,466.000000000000000000000000000000,877,3789,0.486806438805535479641406482187,0.017914180091116577858700864567,False,True
36,36_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,676.000000000000000000000000000000,132,1601,4.101303109060042473288376640994,0.022703752013389023184375403730,False,True
37,37_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,3748,4666,7.002455593151041490784791676560,0.047164999891538175735838933633,True,False
38,38_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,3.000000000000000000000000000000,3887,935,1.479288680396042776621357006661,0.004030405836645514078275809311,True,False
39,39_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,906.000000000000000000000000000000,2499,2831,9.936863528476097329189542506356,0.028682366554159673815993514268,False,True
40,40_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1006.000000000000000000000000000000,2012,2072,2.189356987627223194436965059140,0.043863533540163195112437932721,True,True
41,41_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,4373,4165,8.896017736800015285325571312569,0.019789005518425255986114663642,False,False
42,42_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,3258,397,4.576419024555013592703289759811,0.025411127357278021771103126980,False,False
43,43_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,346.000000000000000000000000000000,622,3341,6.821499693211168668938171322225,0.001145880595315247781063039412,True,True
44,44_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,951.000000000000000000000000000000,1054,1156,7.894074818686583228100062115118,0.008920514580328017459343037387,True,True
45,45_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,2753,2582,0.691544560483656867155843883666,0.032995061779860411499409877933,False,False
46,46_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,4801,1351,5.282188143444248140667696134187,0.015022087734658271657162131874,False,False
47,47_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,429.000000000000000000000000000000,1501,4885,3.615976421038620269854391153785,0.039287359575275335177302338252,True,True
48,48_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,1.000000000000000000000000000000,1353,1432,9.198714416463859677719483443070,0.005582724610343575005755312191,False,False
49,49_0,COMPLETED,Sobol,SOBOL,0.839999999999999968913755310496,441.000000000000000000000000000000,4925,4814,1.906184259581379603076811690698,0.030237405624240640267252899775,True,True
50,50_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
51,51_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,11.000000000000000000000000000000,5000,2,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
52,52_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,5000,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
53,53_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3048,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
54,54_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4104,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
55,55_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,275,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
56,56_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,8.000000000000000000000000000000,1,2,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
57,57_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3090,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
58,58_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,9.000000000000000000000000000000,1,2,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
59,59_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
60,60_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,10.000000000000000000000000000000,0.014581275973025747960676312687,True,False
61,61_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
62,62_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4203,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
63,63_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,403.000000000000000000000000000000,5000,4442,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
64,64_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,4009,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
65,65_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,5000,0.001000000000000000020816681712,0.036614693871336409514150034283,True,False
66,66_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,5000,0.001000000000000000020816681712,0.034510063641692456659626486726,False,False
67,67_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3378,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
68,68_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
69,69_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
70,70_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,8.000000000000000000000000000000,5000,2,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
71,71_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4386,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
72,72_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,9.000000000000000000000000000000,5000,2,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
73,73_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1138,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
74,74_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,5000,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
75,75_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
76,76_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4214,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
77,77_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,5000,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
78,78_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,1921,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
79,79_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,778.000000000000000000000000000000,5000,2963,0.001000000000000000020816681712,0.000500000000000000010408340856,False,True
80,80_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,408.000000000000000000000000000000,5000,5000,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
81,81_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3048,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
82,82_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,9.000000000000000000000000000000,1,2,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
83,83_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
84,84_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,5000,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
85,85_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3977,2059,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
86,86_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,426,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
87,87_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,373.000000000000000000000000000000,1,4425,10.000000000000000000000000000000,0.000500000000000000010408340856,True,True
88,88_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
89,89_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,906.000000000000000000000000000000,1,2955,0.001000000000000000020816681712,0.000500000000000000010408340856,False,True
90,90_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,5000,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
91,91_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,5000,1447,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
92,92_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,2958,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
93,93_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,10.000000000000000000000000000000,0.027187980130868746875272279340,False,False
94,94_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,419.000000000000000000000000000000,5000,5000,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
95,95_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
96,96_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4012,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
97,97_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,410.000000000000000000000000000000,1,5000,10.000000000000000000000000000000,0.028753802711439152561823107135,True,True
98,98_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4102,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
99,99_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4233,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
100,100_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2302,5000,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
101,101_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2547,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
102,102_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2607,5000,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
103,103_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1839,5000,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
104,104_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4625,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
105,105_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2139,2,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
106,106_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4644,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
107,107_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1774,5000,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
108,108_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2340,2,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
109,109_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1774,3141,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
110,110_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,8.000000000000000000000000000000,2992,2,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
111,111_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1602,5000,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
112,112_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,8.000000000000000000000000000000,3102,2,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
113,113_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,1265,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
114,114_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4672,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
115,115_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3493,5000,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
116,116_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1906,4050,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
117,117_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,2449,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
118,118_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,1306,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
119,119_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,776,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
120,120_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1219,3109,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
121,121_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3676,2,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
122,122_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,1,1253,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
123,123_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,2342,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
124,124_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1844,848,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
125,125_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1693,5000,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
126,126_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3487,2,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
127,127_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4657,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
128,128_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3398,3131,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
129,129_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1891,3106,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
130,130_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1640,722,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
131,131_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1457,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
132,132_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2264,5000,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
133,133_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3493,5000,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
134,134_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4675,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
135,135_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,2198,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
136,136_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,1560,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
137,137_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,745,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
138,138_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1319,857,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
139,139_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,5.000000000000000000000000000000,1,288,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
140,140_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,7.000000000000000000000000000000,1640,2,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
141,141_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,8.000000000000000000000000000000,2140,2,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
142,142_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1904,3959,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
143,143_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1822,830,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
144,144_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,990,4708,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
145,145_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,2030,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
146,146_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1253,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
147,147_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4761,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
148,148_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,8.000000000000000000000000000000,1803,2,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
149,149_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.830000000000000071054273576010,3.000000000000000000000000000000,1,497,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
150,150_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,419.000000000000000000000000000000,5000,4012,0.005529146925277752394611852083,0.019186387899238946386226700724,False,True
151,151_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,409.000000000000000000000000000000,3666,3406,8.988052647619140245183189108502,0.019475198492194766702878538922,False,True
152,152_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,409.000000000000000000000000000000,557,4332,8.774489899376821000487325363792,0.019298705781698410194335835399,False,True
153,153_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,408.000000000000000000000000000000,2934,3661,0.001000000000000000020816681712,0.019329642961762923819568626982,True,True
154,154_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,381.000000000000000000000000000000,4363,4787,4.172953700004700117176525964169,0.018798855892946803036736014292,False,True
155,155_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,356.000000000000000000000000000000,1037,3211,5.704440059939923202136924373917,0.019707155412662095972375908559,True,True
156,156_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,6.000000000000000000000000000000,1006,219,8.015545976536635919273976469412,0.045875758450030695856369788999,True,False
157,157_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,6.000000000000000000000000000000,3981,234,9.783613104999245635440274782013,0.040984195821927478509127951156,True,False
158,158_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.830000000000000071054273576010,834.000000000000000000000000000000,1006,219,8.249202193175385389167786343023,0.048922365544631418732279826145,True,True
159,159_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,378.000000000000000000000000000000,2369,3938,10.000000000000000000000000000000,0.019466093245249338483660039856,True,True
160,160_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,435.000000000000000000000000000000,1075,4565,2.298364935524484842233050585492,0.019064970274065482641612234715,True,True
161,161_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,692.000000000000000000000000000000,5000,2030,10.000000000000000000000000000000,0.019963293921845502720824327980,False,True
162,162_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,6.000000000000000000000000000000,1006,219,8.180262721528773539603207609616,0.039678336198887047270300598711,True,False
163,163_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1822,830,9.999976811537091947457156493329,0.023670203047278591534929859108,True,False
164,164_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,399.000000000000000000000000000000,833,4326,0.001000000000000000020816681712,0.018909669833633166446951179296,True,True
165,165_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,0.194816366944118801729501910813,0.026963002815598633571392284125,True,False
166,166_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,6.000000000000000000000000000000,1006,219,8.015920573189616149534231226426,0.036215492678755872857365716300,True,False
167,167_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,422.000000000000000000000000000000,1155,3316,9.956484318686934287256917741615,0.019346056963835168290843924410,False,True
168,168_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4278,3847,3.888555506105855208431876235409,0.002166474645913880371639326228,False,False
169,169_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1068.000000000000000000000000000000,1830,788,8.962105651903275571612539351918,0.012724864275536328789284468144,True,True
170,170_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2550,3569,0.692814527337763830239225626428,0.001767769273366092764102064372,True,False
171,171_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4626,3746,2.557151054555348412833382099052,0.048551447043023478189471831001,True,False
172,172_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1155,3313,10.000000000000000000000000000000,0.023362161494289917368361031436,False,False
173,173_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4607,2004,4.598754563710965470590963377617,0.035842463495062225342646655690,False,False
174,174_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1297,4260,8.226314806392059253425941278692,0.022491925734516377693994471088,True,False
175,175_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4507,87,0.955454221359689936932113596413,0.033408839081410471316679888787,True,True
176,176_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,4800,2712,2.169167812192158262263319556951,0.045869952779562704614502166578,True,False
177,177_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1126.000000000000000000000000000000,1640,786,0.424014820783951362770380910661,0.020468613195606045335184219880,True,True
178,178_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,822.000000000000000000000000000000,4091,2690,9.309403501568102257124337484129,0.019992620599779742374124680282,False,True
179,179_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,423.000000000000000000000000000000,41,3580,8.350598774390626033437001751736,0.005175941963588935081086450651,True,True
180,180_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,0.120112583879343148840490584917,0.020498057884290675489946664811,True,True
181,181_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1154.000000000000000000000000000000,2520,226,8.728611720054663791756865975913,0.034894748661479242646255016780,True,True
182,182_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1297,4260,8.124242201436628008082152518909,0.024287583806216581083781136385,False,False
183,183_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.830000000000000071054273576010,871.000000000000000000000000000000,1006,218,8.419272095855085069615597603843,0.050000000000000002775557561563,True,True
184,184_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1161,3744,9.659971966124066611314447072800,0.039585462406668603385639926273,True,False
185,185_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,4091,2690,9.180740774717376595503992575686,0.048533091068406634949194966566,True,False
186,186_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,9.887239752945390591776231303811,0.032542179525059798661512644458,True,True
187,187_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.830000000000000071054273576010,937.000000000000000000000000000000,1006,219,8.329694041943115578874312632252,0.048029592007225972716266682028,True,True
188,188_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,418.000000000000000000000000000000,3919,3889,3.047094061604091130845972656971,0.011547987500587090017867275549,False,True
189,189_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1803,2,9.999949697181316210503609909210,0.011794570019747898509399064437,True,True
190,190_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,6.000000000000000000000000000000,2520,226,8.788963508579429984024500299711,0.037988124008519391638927231725,True,False
191,191_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,740.000000000000000000000000000000,1141,2008,9.815229216620302565843303455040,0.033021016653356292935850291315,False,True
192,192_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,16.000000000000000000000000000000,1803,2,9.753233324744778443005088774953,0.023727573850821897377683100672,False,False
193,193_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,6.000000000000000000000000000000,1006,219,8.331627129923667496314010350034,0.043958512413451028555400057485,True,False
194,194_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3018.000000000000000000000000000000,2605,234,2.429839571931903918766693095677,0.032732364930150456561186445015,True,True
195,195_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,5.000000000000000000000000000000,1830,788,9.019622358367803016676589322742,0.027189636085544265781122064141,True,False
196,196_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1155,3368,8.876775928062782483607406902593,0.021784021225400438531716318380,False,False
197,197_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1952,2046,6.096829749167116396790788712678,0.023475048303023385992682747769,True,False
198,198_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4679,2160,1.390602243030675477797331041074,0.036251179900897899377465449788,False,False
199,199_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,753.000000000000000000000000000000,2458,2699,3.313368124599784803052671122714,0.048257562841263264286073564335,True,True
200,200_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,454.000000000000000000000000000000,3702,4119,2.323642436889925555476565932622,0.020045806421638705935306390415,True,True
201,201_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,931.000000000000000000000000000000,2715,1318,2.365619198089478292246212731698,0.020175201598954362047777522093,True,True
202,202_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,412.000000000000000000000000000000,5000,5000,2.304160998214904054748330963776,0.020016780643788416316208866874,True,True
203,203_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4488,1450,5.455582081412384987118002754869,0.024888526810137916178700123737,False,False
204,204_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3397,1672,9.062444013200616765857375867199,0.035770928410785891859990925923,False,False
205,205_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,838.000000000000000000000000000000,2125,2392,2.351057896338518471424094968825,0.020124911749108187475343356709,True,True
206,206_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,981.000000000000000000000000000000,1024,1107,2.364170163836494253928321995772,0.020242987831240035617730299577,True,True
207,207_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4272,588,7.170395296707869903229948249646,0.023476621763093102196462425013,False,False
208,208_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,8.829726115369009420419388334267,0.035428535942783549728130054746,True,False
209,209_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3455,153,3.525146683580168804894583445275,0.011599100206368229137865455414,False,False
210,210_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4359,3219,0.637212312370285083318321994739,0.035504354245042488158468074744,True,False
211,211_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1219,3109,9.230261401620628802788814937230,0.036015853498179706271287159325,False,False
212,212_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,4834,647,5.109243867514004833196850086097,0.023846919785246913775500487986,True,False
213,213_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,4272,588,7.869908895297400341917182231555,0.020199027953810583940752465537,True,False
214,214_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,769,3291,0.923367831016890350248615959572,0.037797434917858835357051816572,False,False
215,215_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3163,1786,2.817072395271524865023593520164,0.036108657003066424451276361651,False,False
216,216_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2253,4543,0.665620770070639244941901324637,0.035430915540328414281567859234,True,False
217,217_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,703,1423,0.568313686716494292916479480482,0.035495382658679304477278293461,True,False
218,218_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1138,9.792622175647968774114815460052,0.036774629453920369692720981902,True,False
219,219_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3598,1652,3.548523316035922192668294883333,0.011774533236268140690139460958,False,False
220,220_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4585,1824,4.249839322783092399049564846791,0.026690133682044980822922752850,False,False
221,221_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1024,1107,0.699140202879180883144272229401,0.031229473493523729477061579018,True,False
222,222_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1138,9.658897481654177497034652333241,0.028896180123172580250789920342,True,False
223,223_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,4566,3416,0.989577765823275168344252961106,0.048570509057420337140076327387,True,False
224,224_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,2648,1508,8.059072580268969332450978981797,0.026056753568309391072554959123,True,False
225,225_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1782,3171,2.465136146433571706637621900882,0.037311524119590724901662781576,True,False
226,226_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4088,3062,7.563130798226714190946040616836,0.038080493776748630674333639945,False,False
227,227_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,3598,1653,0.439279692407531230369244212852,0.004755835894075104673672793609,True,False
228,228_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,842,1205,0.364262929692538872661344839798,0.038528872266329013129837477436,False,False
229,229_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1785,1712,2.528383456008283403093628294300,0.002870622282848058100246380064,True,False
230,230_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,1535,599,5.891240165924308769263006979600,0.025125902080419364181818053794,True,False
231,231_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,619.000000000000000000000000000000,1382,4165,0.794140836260725069273291865102,0.024718637745504767194715256551,True,True
232,232_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2831.000000000000000000000000000000,2304,450,2.592153860005042442793410373270,0.020184732970642285665441306719,True,True
233,233_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,4723,121,0.474391340856593790586970271761,0.004837216510182988822574845500,True,False
234,234_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4566,3416,1.336175796094932533009114195011,0.034289900700641536002155618235,True,False
235,235_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1785,1712,2.225869191497695354087227315176,0.037761655563697010817847399267,False,False
236,236_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3163,1786,2.594430481663607679365668445826,0.044110634554421296327220147759,False,False
237,237_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1961,3061,4.120767013912331577785153058358,0.026989996157708334711955444618,False,False
238,238_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1255,3001,9.556497412182972439609329740051,0.025527625074183553366413690355,True,False
239,239_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,4585,1824,4.287317671537578256391043396434,0.034164262456909795517834282919,True,False
240,240_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4373,4165,7.566459363625736678216071595671,0.038073169922494563832682246129,False,False
241,241_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3702,4119,1.588452253243222145329127670266,0.038260934935045551319454659733,False,False
242,242_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3163,1786,3.611757583654107595094728822005,0.012119415681009805541012980257,False,False
243,243_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,3691,1823,3.620158898421542925660787659581,0.045401911439390901792378940627,False,False
244,244_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3048,9.927111336307232747344642120879,0.019922896285226626006403805036,False,False
245,245_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3297,4511,1.482312851428670530395947935176,0.034290631728453695170610870946,True,False
246,246_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,79,1808,0.886578593576746398774446333846,0.039666021406203580412785925091,False,False
247,247_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,8.000000000000000000000000000000,3455,153,4.512649194570013122529417159967,0.013346936408013912803149914055,True,False
248,248_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1868,2673,9.061285145946772701108784531243,0.025192091347419783703420748111,True,False
249,249_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1219,3109,8.316797107818922896171898173634,0.014091901424811438189865775428,True,False
250,250_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1850,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
251,251_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,5000,1367,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
252,252_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,4801,1351,1.909020209953196323127144751197,0.050000000000000002775557561563,True,False
253,253_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,1,2152,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
254,254_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1602,5000,4.738869384876982060461614310043,0.012832176862802038841415708248,True,False
255,255_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1602,5000,4.773397403590931453720713761868,0.000500000000000000010408340856,False,False
256,256_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1602,5000,4.775777927847623338664106995566,0.050000000000000002775557561563,False,False
257,257_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,402,0.001000000000000000020816681712,0.018390467063274466147371200009,True,False
258,258_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1774,5000,4.774922973573468176766709802905,0.027409463359077068655977882372,False,False
259,259_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,5000,1641,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
260,260_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1836,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
261,261_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,6.000000000000000000000000000000,1,335,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
262,262_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,5.924039948672731981105243903585,0.050000000000000002775557561563,False,False
263,263_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,5000,6.146439800719274870743902283721,0.031580325396050976105577490216,True,False
264,264_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,5000,2177,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
265,265_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1602,5000,5.243552229077486970254540210590,0.000500000000000000010408340856,True,False
266,266_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,5000,6.738458277868313750502693437738,0.041229598508723035166223525039,False,False
267,267_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4839,2664,4.682020408536668121257662278367,0.000500000000000000010408340856,False,False
268,268_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,4.283186094519513709144575841492,0.009065256735003975052666902457,True,False
269,269_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,5000,1140,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
270,270_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,4.204778267052120099833700805902,0.035928013394929195212235129020,False,False
271,271_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1025,3264,5.487304210780637347966148809064,0.000500000000000000010408340856,True,False
272,272_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,5000,5.799873312535687830404640408233,0.009676400537534112639148631274,False,False
273,273_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,9.000000000000000000000000000000,965,2,4.618432515889270284503709262935,0.000500000000000000010408340856,False,False
274,274_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,5000,5.932096690593112064959768758854,0.027794273383146238243224246389,True,False
275,275_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,625,2943,3.196273693595994558336315094493,0.050000000000000002775557561563,False,False
276,276_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,4842,2615,3.823435377902225429380678178859,0.000500000000000000010408340856,True,False
277,277_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,6.626292044895325972220234689303,0.000500000000000000010408340856,True,False
278,278_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,445,2566,0.001000000000000000020816681712,0.016704144350797998919144760066,True,False
279,279_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,5000,1367,1.120105325714540134285357453336,0.050000000000000002775557561563,True,False
280,280_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2264,3082,4.073553518999434075453791592736,0.022726107987455872877502471852,True,False
281,281_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,617,2832,0.001000000000000000020816681712,0.013855017162954758047632708440,False,False
282,282_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,5000,3.459211746675413756690886657452,0.018867881212350470082617093226,True,False
283,283_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,1012,3.520197085672192915950517999590,0.000500000000000000010408340856,False,False
284,284_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,988,4048,5.021710560693389169273359584622,0.000500000000000000010408340856,True,False
285,285_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,402,1.031622079127635149831121452735,0.020291696533153002340865711517,False,False
286,286_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4991,3578,10.000000000000000000000000000000,0.031946211057684109624332791100,True,False
287,287_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1457,7.828849994699037750933712231927,0.000500000000000000010408340856,True,False
288,288_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,3533,2011,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
289,289_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,4.450228874599215345142511068843,0.050000000000000002775557561563,True,False
290,290_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,7.601035046294346564366151142167,0.050000000000000002775557561563,True,False
291,291_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,3.118768790672752810877454976435,0.024751922033605870676620241966,False,False
292,292_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,5.899444720059711322335260774707,0.000500000000000000010408340856,True,False
293,293_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1956,2102,6.157281803371968287308391154511,0.000500000000000000010408340856,False,False
294,294_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1283,4602,6.716941470711464745591001701541,0.005686946384104251892011028247,True,False
295,295_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,3989,1924,9.058149820869621393626403005328,0.000500000000000000010408340856,True,False
296,296_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,2767,5.338624514647257512933720136061,0.050000000000000002775557561563,False,False
297,297_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3667,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
298,298_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,4.618429140301741675500579731306,0.000500000000000000010408340856,True,False
299,299_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,4510,3794,6.378776325521245738059405994136,0.002319627111848473078464794028,True,False
300,300_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,13,4761,8.214880381968866274178253661375,0.024255446511956772065454757126,True,False
301,301_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1069,27,3.692823689822535726534624700435,0.037801825541703026889450711678,False,False
302,302_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3071,4716,2.777211661739202863685704869567,0.015765932221351166425682421846,True,False
303,303_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,205,812,5.401212487450579580183784855762,0.012508918261407741753798994466,False,False
304,304_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3976,2054,10.000000000000000000000000000000,0.011619607645418677382975758405,False,False
305,305_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,3207,1091,4.823778615161886662576762319077,0.014683269429104681136344368042,True,False
306,306_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1748,2357,7.085443093036152717445474991109,0.031387082996175375004810348400,False,False
307,307_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4882,3429,1.082362100838710761152583472722,0.010329616686086961346857648891,True,False
308,308_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,8.000000000000000000000000000000,965,2,3.495343155409928126431395867257,0.012479251029418885962640750620,False,False
309,309_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4626,3746,3.103318478564694782306787601556,0.024945840882630521129215139808,True,False
310,310_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4743,3962,10.000000000000000000000000000000,0.012297765132241697191850526849,False,False
311,311_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2584,3794,8.088908840078845585708222643007,0.025482574397499516832832355817,True,False
312,312_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3376,2082,2.832147244504963357059068584931,0.012111753127561490292474211117,False,False
313,313_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4845,3973,4.999025371484354884898948512273,0.014412642086503488214610513296,False,False
314,314_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3748,4666,6.402647712513542366252750070998,0.016678682700206871880599379665,False,False
315,315_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,2420,0.240564033114459119300221345839,0.025577244969015450193339233920,True,False
316,316_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3282,4814,3.280094623400334974405723187374,0.035849866010821990203183418089,False,False
317,317_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1012,3.333083426220285527818987247883,0.019059522008058753933523732371,True,False
318,318_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4324,3531,7.765328640263411408284355275100,0.011759798364436363157792264644,False,False
319,319_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3102,2,0.904002301631266380610441046883,0.034787793003981735961982479921,True,False
320,320_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,2449,10.000000000000000000000000000000,0.032502029547585110924590168224,True,False
321,321_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,3529,4722,1.777190641363645351447075881879,0.025442464377277422549195051715,True,False
322,322_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2323,3872,3.318866269846443728397389349993,0.021986504860018019069656247666,False,False
323,323_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,585,1118,7.698295514606002143409568816423,0.012549935744838595225170152503,False,False
324,324_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3282,4853,2.957168397573815443735156804905,0.045640396364953157715138587491,False,False
325,325_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,776,1.821688195133082333043716971588,0.012506291764859322687697407162,True,False
326,326_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4337,2770,8.310067842455387321365378738847,0.033977886112888863734404765182,False,False
327,327_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,379,4129,0.001000000000000000020816681712,0.009375032564797630696418195839,True,False
328,328_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,8.000000000000000000000000000000,965,2,6.318643540460560537042056239443,0.038811625132468982601885443273,False,False
329,329_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,10.000000000000000000000000000000,5000,2,10.000000000000000000000000000000,0.040016182485134936530624116813,False,False
330,330_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4556,3924,1.621567296675904934488698927453,0.031272543525228943539495674031,True,False
331,331_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1242,2466,3.467399680496018987696515978314,0.030018643338174767071224735560,True,False
332,332_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1587,4834,6.046381648258601693157743284246,0.019585160899733139450162866524,False,False
333,333_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4877,4824,10.000000000000000000000000000000,0.037059268482654637855144841296,False,False
334,334_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4562,2286,2.228345280956801843785797245800,0.031258494268752351485929352748,False,False
335,335_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4275,3918,0.001000000000000000020816681712,0.013392591278695064119230728750,False,False
336,336_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3282,4853,2.525586477750846992051947381697,0.017964732698647026265525994404,False,False
337,337_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2907,3767,0.001000000000000000020816681712,0.027520642615263987001972267876,False,False
338,338_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4888,2808,2.564970126654570581337111434550,0.034472725406761932365196088313,False,False
339,339_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3491,4828,7.532392231021704631643842731137,0.011220549674848114690695055629,False,False
340,340_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,990,4708,10.000000000000000000000000000000,0.030107344134866088208868362130,False,False
341,341_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3994,2183,6.953721882555540467762966727605,0.010979470361628690389110829528,False,False
342,342_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1025,3264,3.711381918135653545931518237921,0.010369134436977137103674806440,False,False
343,343_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1984,2135,0.001000000000000000020816681712,0.013136297203509558068068585612,True,False
344,344_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,299,1945,7.687421383246685557821820111712,0.017557711855515419074880156813,False,False
345,345_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4743,3962,8.375458847653586502701728022657,0.027181093262182032949114685039,False,False
346,346_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4625,10.000000000000000000000000000000,0.022749818621797732870470909461,False,False
347,347_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,379,4319,0.001000000000000000020816681712,0.009558103402452411759271377889,True,False
348,348_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,880,3358,7.151784399624551369356595387217,0.009977871289348580821632062055,True,False
349,349_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,299,1945,8.132177974282067012268271355424,0.010317530444219040128284170521,True,False
350,350_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1575.000000000000000000000000000000,2304,432,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
351,351_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,718.000000000000000000000000000000,1,2495,9.430187874643431555909955932293,0.046530842287218592001618588938,True,True
352,352_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,737.000000000000000000000000000000,1,2600,8.265260918063106032604991924018,0.050000000000000002775557561563,False,True
353,353_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,627.000000000000000000000000000000,1,2733,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
354,354_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1007.000000000000000000000000000000,1,2625,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
355,355_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1280.000000000000000000000000000000,2957,961,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
356,356_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,845.000000000000000000000000000000,1,2293,10.000000000000000000000000000000,0.033921094527357677217427323058,True,True
357,357_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2135,2,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
358,358_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,809.000000000000000000000000000000,1,2952,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
359,359_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,420.000000000000000000000000000000,1,3178,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
360,360_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,763.000000000000000000000000000000,1,2328,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
361,361_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,977.000000000000000000000000000000,2465,757,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
362,362_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,491.000000000000000000000000000000,3168,4075,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
363,363_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,820.000000000000000000000000000000,1,2197,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
364,364_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,947.000000000000000000000000000000,1,2757,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
365,365_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,908.000000000000000000000000000000,2602,1007,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
366,366_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1209.000000000000000000000000000000,3240,939,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
367,367_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,910.000000000000000000000000000000,1,2935,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
368,368_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1554,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
369,369_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,501.000000000000000000000000000000,1,3378,9.784309969166248066585467313416,0.050000000000000002775557561563,False,True
370,370_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1202.000000000000000000000000000000,2716,923,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
371,371_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,628.000000000000000000000000000000,1,2475,3.674520740473480984178422659170,0.050000000000000002775557561563,True,True
372,372_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,564.000000000000000000000000000000,1,2141,7.443519299342515438411282957532,0.050000000000000002775557561563,False,True
373,373_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,890.000000000000000000000000000000,1,2757,8.306413204614827350269479211420,0.037693820373461264794379133036,False,True
374,374_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,568.000000000000000000000000000000,1,2159,0.364210349836155966585238275002,0.050000000000000002775557561563,True,True
375,375_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,358.000000000000000000000000000000,1,3088,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
376,376_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,633.000000000000000000000000000000,1,2757,10.000000000000000000000000000000,0.039616130023272584648186267486,True,True
377,377_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.038086068469820946735815425654,True,False
378,378_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,421.000000000000000000000000000000,1,3382,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
379,379_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,928.000000000000000000000000000000,1,2152,1.156326010000397586097165003594,0.032181845905478720371029055514,True,True
380,380_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,887.000000000000000000000000000000,1,2257,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
381,381_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,910.000000000000000000000000000000,1,2475,2.936802021581483401746481831651,0.039596391256542913528182481286,False,True
382,382_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,930.000000000000000000000000000000,1,2625,0.001000000000000000020816681712,0.038926160547017231439159701267,True,True
383,383_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,608.000000000000000000000000000000,3254,4407,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
384,384_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,802.000000000000000000000000000000,1,2020,10.000000000000000000000000000000,0.031506948929971231865287961682,True,True
385,385_0,FAILED,BoTorch,BOTORCH_MODULAR,,,542,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
386,386_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1046.000000000000000000000000000000,1,2515,10.000000000000000000000000000000,0.034360950617511556992589305537,False,True
387,387_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1148.000000000000000000000000000000,2194,602,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
388,388_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,598.000000000000000000000000000000,1,2515,10.000000000000000000000000000000,0.035477105289116558917150712205,True,True
389,389_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,976.000000000000000000000000000000,1,2456,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
390,390_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,975.000000000000000000000000000000,1,2449,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
391,391_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,622.000000000000000000000000000000,1,3778,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
392,392_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,622.000000000000000000000000000000,1,5000,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
393,393_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1009.000000000000000000000000000000,1,2731,5.205248112514340164125314913690,0.050000000000000002775557561563,True,True
394,394_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,953.000000000000000000000000000000,1,2328,10.000000000000000000000000000000,0.025391716528562664062507181484,True,True
395,395_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,922.000000000000000000000000000000,1,2968,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
396,396_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1010.000000000000000000000000000000,1,2715,4.328654589318191803215540858218,0.050000000000000002775557561563,False,True
397,397_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,641.000000000000000000000000000000,1,2700,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
398,398_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.022067071930725604828049668527,True,False
399,399_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2670,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
400,400_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2336.000000000000000000000000000000,3375,280,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
401,401_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,335,9.721004011416342294182868499774,0.017825753421146985078227231725,False,False
402,402_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,288,9.986235672782004968439650838263,0.023666956481674210344134934303,False,False
403,403_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3547.000000000000000000000000000000,3375,280,10.000000000000000000000000000000,0.046597401613757950811223196297,False,True
404,404_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,169,1.639488705148509417597324500093,0.041646940054389278151880660062,False,False
405,405_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,179,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
406,406_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.830000000000000071054273576010,1257.000000000000000000000000000000,3468,215,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
407,407_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3026.000000000000000000000000000000,3483,335,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
408,408_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3064.000000000000000000000000000000,1,277,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
409,409_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,202,10.000000000000000000000000000000,0.036245308677333956670629788732,False,False
410,410_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,6.000000000000000000000000000000,1,202,10.000000000000000000000000000000,0.039573161553847387150728565075,True,False
411,411_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1480.000000000000000000000000000000,3502,227,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
412,412_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,173,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
413,413_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4139.000000000000000000000000000000,3375,280,10.000000000000000000000000000000,0.039098648265547111813056346818,True,True
414,414_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3384.000000000000000000000000000000,3476,371,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
415,415_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,948,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
416,416_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,594.000000000000000000000000000000,5000,3729,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
417,417_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,8.000000000000000000000000000000,1,156,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
418,418_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,950,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
419,419_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1064.000000000000000000000000000000,3690,259,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
420,420_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,564.000000000000000000000000000000,5000,3742,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
421,421_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.830000000000000071054273576010,2.000000000000000000000000000000,1,225,0.001000000000000000020816681712,0.030252446665455068330885524119,False,False
422,422_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.830000000000000071054273576010,1076.000000000000000000000000000000,3513,220,10.000000000000000000000000000000,0.044050876358458203319035106915,True,True
423,423_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1255.000000000000000000000000000000,5000,1466,10.000000000000000000000000000000,0.000500000000000000010408340856,True,True
424,424_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3702,4.976274131274357692689136456465,0.000500000000000000010408340856,True,False
425,425_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3511.000000000000000000000000000000,3355,293,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
426,426_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1659.000000000000000000000000000000,3690,259,10.000000000000000000000000000000,0.037778065988636588823368356316,False,True
427,427_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3548.000000000000000000000000000000,3483,335,10.000000000000000000000000000000,0.041427859362353242067555925132,True,True
428,428_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,791.000000000000000000000000000000,5000,1471,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
429,429_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,342.000000000000000000000000000000,4991,3578,9.999144367498306706920629949309,0.031360248122057163278064706446,False,True
430,430_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3604.000000000000000000000000000000,5000,301,10.000000000000000000000000000000,0.035966295312900423142288275358,True,True
431,431_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1259.000000000000000000000000000000,4272,588,10.000000000000000000000000000000,0.040715322931936935579866343460,True,True
432,432_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.830000000000000071054273576010,2.000000000000000000000000000000,1,258,0.001000000000000000020816681712,0.024634121534364207539713476081,True,False
433,433_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1629.000000000000000000000000000000,3993,351,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
434,434_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1504.000000000000000000000000000000,3834,428,10.000000000000000000000000000000,0.038461237131593481453073479770,False,True
435,435_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3772,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
436,436_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3336.000000000000000000000000000000,2226,272,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
437,437_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1624.000000000000000000000000000000,5000,745,0.001000000000000000020816681712,0.023325023077101953578038617820,True,True
438,438_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2390.000000000000000000000000000000,3611,285,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
439,439_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,496.000000000000000000000000000000,5000,3567,10.000000000000000000000000000000,0.000500000000000000010408340856,True,True
440,440_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3310.000000000000000000000000000000,3611,314,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
441,441_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,508.000000000000000000000000000000,5000,3585,0.001000000000000000020816681712,0.015754927733323601662940305346,False,True
442,442_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1284.000000000000000000000000000000,5000,1481,0.001000000000000000020816681712,0.024376955215588937825321735886,False,True
443,443_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,516.000000000000000000000000000000,5000,3343,0.001000000000000000020816681712,0.000500000000000000010408340856,False,True
444,444_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2631.000000000000000000000000000000,1,360,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
445,445_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,803.000000000000000000000000000000,4138,1464,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
446,446_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3977.000000000000000000000000000000,3281,245,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
447,447_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1120.000000000000000000000000000000,2244,1508,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
448,448_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2997.000000000000000000000000000000,1,280,10.000000000000000000000000000000,0.000500000000000000010408340856,True,True
449,449_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1417.000000000000000000000000000000,5000,608,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
450,450_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1330,458,10.000000000000000000000000000000,0.023033271451720335742940903856,False,False
451,451_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,4172,458,8.905916379255760517708040424623,0.016196635985520964340356186995,True,False
452,452_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,1330,462,10.000000000000000000000000000000,0.027038945264323537009953923871,True,False
453,453_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,2890,536,0.001000000000000000020816681712,0.015518662657147973965576781552,False,False
454,454_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1803,2,10.000000000000000000000000000000,0.012397484256365963461998802586,True,False
455,455_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.830000000000000071054273576010,3.000000000000000000000000000000,2890,512,0.001000000000000000020816681712,0.019269734912011837746348419387,True,False
456,456_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,625,2919,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
457,457_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,445,2540,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
458,458_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,8.000000000000000000000000000000,3258,397,4.515141525279654288738129253034,0.010809968507893582753687233833,True,False
459,459_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,3254,4409,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
460,460_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,450.000000000000000000000000000000,4365,4676,0.001001387238482507246670194512,0.005568327076684868176537079876,True,True
461,461_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,4761,2266,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
462,462_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,5.000000000000000000000000000000,5000,275,10.000000000000000000000000000000,0.009404164507571324826962211318,True,False
463,463_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1319,878,0.001000000000000000020816681712,0.037401110756632660603315798653,True,False
464,464_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,156,10.000000000000000000000000000000,0.007613312709292632991797677988,False,False
465,465_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,2369,3938,10.000000000000000000000000000000,0.043529662730555106209262561379,True,False
466,466_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,301.000000000000000000000000000000,3748,4660,10.000000000000000000000000000000,0.007786193178611962306678861978,True,True
467,467_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,2434,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
468,468_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,8.000000000000000000000000000000,1,156,10.000000000000000000000000000000,0.003794832527567047926464471885,True,False
469,469_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,2963,0.001000000000000000020816681712,0.003911773835624502218544229493,True,False
470,470_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1155,3235,10.000000000000000000000000000000,0.045848973455267227894438519797,False,False
471,471_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,2263,7.483319116705504647768520953832,0.000500000000000000010408340856,True,False
472,472_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3196,4352,1.605896075084302099256206020073,0.000500000000000000010408340856,False,False
473,473_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,420.000000000000000000000000000000,1,4555,10.000000000000000000000000000000,0.009141013593077295523725567250,False,True
474,474_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,301.000000000000000000000000000000,13,4761,10.000000000000000000000000000000,0.000866635060351390916835723210,True,True
475,475_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,379,4319,0.001000000000000000020816681712,0.028916789246036609523082816509,False,False
476,476_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1155,3291,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
477,477_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1330,462,10.000000000000000000000000000000,0.029661293020262134018105726341,False,False
478,478_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,1715,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
479,479_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,2860,1.467005029573109853302526062180,0.000500000000000000010408340856,False,False
480,480_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1319,878,0.001000000000000000020816681712,0.035838463786253098308787201631,False,False
481,481_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3382,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
482,482_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,458,2901,10.000000000000000000000000000000,0.015308004250950918087581520410,True,False
483,483_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.820000000000000062172489379009,1.000000000000000000000000000000,2890,512,0.001000000000000000020816681712,0.010235983689093399243152937572,False,False
484,484_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1906,4050,0.001014204758554889795191256141,0.019869241194021634855371161166,False,False
485,485_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,5.000000000000000000000000000000,4272,576,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
486,486_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3666,3430,10.000000000000000000000000000000,0.041872610683558700306328148599,False,False
487,487_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,950,10.000000000000000000000000000000,0.031505039573247663187149925079,False,False
488,488_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,185,10.000000000000000000000000000000,0.000725505237798963992061629380,False,False
489,489_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,616,2797,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
490,490_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4274,528,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
491,491_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,4743,3962,10.000000000000000000000000000000,0.048341398572769721242448071052,True,False
492,492_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,238,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
493,493_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,842,1205,0.001000000000000000020816681712,0.018546389176331126713570540687,True,False
494,494_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2293,3535,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
495,495_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,430.000000000000000000000000000000,3748,4680,9.170991775967934245272772386670,0.000842741572319541300956080576,False,True
496,496_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2499,2817,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
497,497_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1454,1305,10.000000000000000000000000000000,0.036357775600582606378985417450,False,False
498,498_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4761,2275,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
499,499_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1103.000000000000000000000000000000,1,1283,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
500,500_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,431.000000000000000000000000000000,509,5000,3.712690708097447611635288922116,0.000500000000000000010408340856,False,True
501,501_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4743,2,2.530636584414214684812804989633,0.000500000000000000010408340856,True,False
502,502_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2089,2,5.260601002616885679685765353497,0.050000000000000002775557561563,True,False
503,503_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,2.321362287838997229272308686632,0.000500000000000000010408340856,True,False
504,504_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,478.000000000000000000000000000000,5000,5000,5.940709753573239382262727303896,0.050000000000000002775557561563,False,True
505,505_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,2.227641464615276678529198761680,0.000500000000000000010408340856,True,False
506,506_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,4.421630249819298086322305607609,0.050000000000000002775557561563,True,False
507,507_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,11.000000000000000000000000000000,5000,2,6.215418889755293996302043524338,0.000500000000000000010408340856,False,False
508,508_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,2.244722225937755055724664998706,0.000500000000000000010408340856,True,False
509,509_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,10.000000000000000000000000000000,2301,2,2.441008353580165213259078882402,0.050000000000000002775557561563,False,False
510,510_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2301,2,2.359055700649297815374438869185,0.000500000000000000010408340856,True,False
511,511_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,418.000000000000000000000000000000,1,5000,6.770233623799364330864136718446,0.000500000000000000010408340856,False,True
512,512_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,2.286893481896159485700081859250,0.000500000000000000010408340856,True,False
513,513_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,2.614712605739925255221578481724,0.000500000000000000010408340856,True,False
514,514_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2301,2,2.257957826712969851001844290295,0.000500000000000000010408340856,True,False
515,515_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4343.000000000000000000000000000000,1,17,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
516,516_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1745.000000000000000000000000000000,23,602,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
517,517_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,736.000000000000000000000000000000,1,1872,0.001000000000000000020816681712,0.000500000000000000010408340856,False,True
518,518_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,529.000000000000000000000000000000,1677,1721,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
519,519_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2301,2,2.393263658550755845766389029450,0.000500000000000000010408340856,True,False
520,520_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2301,2,2.431178801140357670362845965428,0.000500000000000000010408340856,True,False
521,521_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,6.544673514387998380925637320615,0.000500000000000000010408340856,True,False
522,522_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,2.245445865774183591412338500959,0.000500000000000000010408340856,True,False
523,523_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,6.433341395913116045335300441366,0.050000000000000002775557561563,True,False
524,524_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2301,2,2.551116351792049652402738502133,0.000500000000000000010408340856,True,False
525,525_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,2449,6.441991608886563192015728418482,0.050000000000000002775557561563,True,False
526,526_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,2.401256193931909255212531206780,0.000500000000000000010408340856,True,False
527,527_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,7.000000000000000000000000000000,1,169,2.092944616573793048530660598772,0.000500000000000000010408340856,True,False
528,528_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1006,219,7.705200175762711545246474997839,0.000500000000000000010408340856,False,False
529,529_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,467.000000000000000000000000000000,5000,5000,2.402990548112747593023641456966,0.050000000000000002775557561563,False,True
530,530_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,4.317793709571692062354486552067,0.050000000000000002775557561563,True,False
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,461.000000000000000000000000000000,3702,4119,2.085143992273119195601793762762,0.000500000000000000010408340856,False,True
532,532_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,195,1568,7.236158646250607340277838375187,0.050000000000000002775557561563,False,False
533,533_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,5.648106927466539417537205736153,0.050000000000000002775557561563,True,False
534,534_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,7,4832,8.351738640490937726212905545253,0.050000000000000002775557561563,False,False
535,535_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4174,7.611446878265197391044694086304,0.000500000000000000010408340856,False,False
536,536_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,4.448066331619550339837587671354,0.050000000000000002775557561563,True,False
537,537_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,3.037165758722715658279867056990,0.000500000000000000010408340856,True,False
538,538_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,6.075784495629873660504927102011,0.050000000000000002775557561563,True,False
539,539_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,4.610449569075218079206024412997,0.050000000000000002775557561563,True,False
540,540_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,4.525615302434019326938141603023,0.050000000000000002775557561563,True,False
541,541_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,330.000000000000000000000000000000,1,3708,4.874976926073303573616612993646,0.000500000000000000010408340856,True,True
542,542_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1759,1552,1.728432891393710590932641935069,0.000500000000000000010408340856,True,False
543,543_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,409.000000000000000000000000000000,1,5000,0.001000000000000000020816681712,0.033676539802591262673381322656,True,True
544,544_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,5.885258314088795295049294509226,0.050000000000000002775557561563,True,False
545,545_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,2454,1.741615079339997373963910831662,0.000500000000000000010408340856,True,False
546,546_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,23.000000000000000000000000000000,1069,25,4.006676603179264439802409469848,0.050000000000000002775557561563,True,False
547,547_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,457.000000000000000000000000000000,3715,3848,6.941952412841918551578146434622,0.050000000000000002775557561563,False,True
548,548_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,7.000000000000000000000000000000,5000,2,6.135331193456098120009301055688,0.050000000000000002775557561563,False,False
549,549_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,556.000000000000000000000000000000,5000,5000,4.743294069941400792345120862592,0.050000000000000002775557561563,True,True
550,550_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,6.630876490183054805527262942633,0.019797495389640776264350563451,True,False
551,551_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4325,815,8.125679095199499712975921283942,0.050000000000000002775557561563,False,False
552,552_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,5000,7.680499198639446412073539249832,0.049890996029383918863864266768,True,False
553,553_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2301,2,2.662609917012292992666289137560,0.000500000000000000010408340856,True,False
554,554_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,318.000000000000000000000000000000,4921,4991,7.937645610413022190243736986304,0.046016247187669258311704112430,False,True
555,555_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,3.070921476407400874109043797944,0.000500000000000000010408340856,True,False
556,556_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1897,1739,1.944446114275963699569160780811,0.016654753451008964121315969464,False,False
557,557_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1069,27,2.765981399956371156179102399619,0.017064438862002973690268348150,False,False
558,558_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,460.000000000000000000000000000000,1602,5000,1.438025281296044566303748979408,0.000500000000000000010408340856,True,True
559,559_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.484432196121140634659241186455,0.000500000000000000010408340856,True,False
560,560_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,337.000000000000000000000000000000,4901,4335,5.155258212109782967047522106441,0.000500000000000000010408340856,True,True
561,561_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,432.000000000000000000000000000000,4931,3418,3.656384041410412066852586576715,0.050000000000000002775557561563,False,True
562,562_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,873.000000000000000000000000000000,1,1347,8.243215445900572646564796741586,0.050000000000000002775557561563,False,True
563,563_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,376.000000000000000000000000000000,1297,4197,10.000000000000000000000000000000,0.000500000000000000010408340856,True,True
564,564_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,986.000000000000000000000000000000,1,1283,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
565,565_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,757.000000000000000000000000000000,437,2922,6.872952390788471532800940622110,0.028537979299935352373029928685,True,True
566,566_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2457,2,1.769697117882147230361056244874,0.000500000000000000010408340856,True,False
567,567_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,784.000000000000000000000000000000,3163,1829,2.889134501275701261135964159621,0.000500000000000000010408340856,True,True
568,568_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,484.000000000000000000000000000000,465,4055,4.646281536678003476481535471976,0.050000000000000002775557561563,False,True
569,569_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4901,4335,5.051301789249976970097577577690,0.050000000000000002775557561563,True,False
570,570_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,668,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
571,571_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,627.000000000000000000000000000000,1283,4566,7.127932276997113625327529007336,0.000500000000000000010408340856,True,True
572,572_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2287.000000000000000000000000000000,1,339,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
573,573_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,6.000000000000000000000000000000,3622,261,3.375277559583159003864238911774,0.000500000000000000010408340856,True,False
574,574_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,5000,7.850010777611136525422352860915,0.000500000000000000010408340856,True,False
575,575_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1100.000000000000000000000000000000,617,2833,0.001000000000000000020816681712,0.000500000000000000010408340856,False,True
576,576_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,337.000000000000000000000000000000,5000,5000,0.001000000000000000020816681712,0.000500000000000000010408340856,False,True
577,577_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3760,6.419050969433046205381288018543,0.050000000000000002775557561563,False,False
578,578_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,678.000000000000000000000000000000,3598,1630,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
579,579_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,5000,0.001000000000000000020816681712,0.017291417839175333287515812231,False,False
580,580_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,5000,7.269024625154917984559688193258,0.000500000000000000010408340856,False,False
581,581_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,479.000000000000000000000000000000,1408,4936,7.448232089326173976928657793906,0.019117425271645872852932512842,True,True
582,582_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,478.000000000000000000000000000000,1,5000,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
583,583_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,7.015081996350557957953242294025,0.000500000000000000010408340856,True,False
584,584_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,5.307518123508031315793687099358,0.040936684011678201033923585328,True,False
585,585_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1759,1552,2.142559651608614501583360834047,0.050000000000000002775557561563,False,False
586,586_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,545.000000000000000000000000000000,1,5000,7.756247164258612158960204396863,0.050000000000000002775557561563,True,True
587,587_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,5.394584806770212459525737358490,0.000500000000000000010408340856,True,False
588,588_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,304,1511,7.276271465153464568231811426813,0.050000000000000002775557561563,True,False
589,589_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,6.171980742915164519502013718011,0.000500000000000000010408340856,True,False
590,590_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,5.487680765290568807301951892441,0.050000000000000002775557561563,True,False
591,591_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2301,2,2.530561616231596921977597958175,0.000500000000000000010408340856,True,False
592,592_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,3.736983303311396387158538345830,0.036235972043438313683338947158,True,False
593,593_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,7.207078424581411901783667417476,0.000500000000000000010408340856,True,False
594,594_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,418.000000000000000000000000000000,5000,5000,3.149000568662019272636598543613,0.000500000000000000010408340856,True,True
595,595_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,3398,3131,0.001000000000000000020816681712,0.037691383879267292833503688598,True,False
596,596_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,4.563116348358827956133154657437,0.029283116001281774692932557969,True,False
597,597_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,5.666578893166287045346507511567,0.000500000000000000010408340856,True,False
598,598_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,3.077956935074662059292904814356,0.000500000000000000010408340856,True,False
599,599_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,313.000000000000000000000000000000,1025,3264,3.401518571853499040003043774050,0.000500000000000000010408340856,False,True
600,600_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,6.274221385619877189299131714506,0.000500000000000000010408340856,True,False
601,601_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,460.000000000000000000000000000000,1,5000,1.210506343899413472797732538311,0.050000000000000002775557561563,True,True
602,602_0,FAILED,BoTorch,BOTORCH_MODULAR,,,712,2,3.089607090168384306849702625186,0.000500000000000000010408340856,True,False
603,603_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,3708,5.094430305791707525031597469933,0.045012962556531789515279484704,True,False
604,604_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,5.880100087510821360581303451909,0.000500000000000000010408340856,True,False
605,605_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,2.830740038818429393785436332109,0.050000000000000002775557561563,False,False
606,606_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,338.000000000000000000000000000000,1,5000,0.001000000000000000020816681712,0.030283978655644343963571074596,False,True
607,607_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,3.312750511441367340381702888408,0.000500000000000000010408340856,True,False
608,608_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,4.893155279080017017179216054501,0.028548055807287302243491211584,True,False
609,609_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,481.000000000000000000000000000000,593,4922,6.548486426654944736469587951433,0.036068554002911187850166641056,False,True
610,610_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,4808,1401,2.715179610275549659803573376848,0.000500000000000000010408340856,True,False
611,611_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,4.320337414478686355323588941246,0.029311138793364933247120873716,True,False
612,612_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,5.692672012315808771631964191329,0.050000000000000002775557561563,True,False
613,613_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,4.569823426589355364058064878918,0.030670283211597180322849354184,True,False
614,614_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,3.042259593177769172456237356528,0.000500000000000000010408340856,True,False
615,615_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,728.000000000000000000000000000000,304,1511,7.163593226268080371710311737843,0.000500000000000000010408340856,True,True
616,616_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,6.033862960635970829059715470066,0.050000000000000002775557561563,True,False
617,617_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,6.000000000000000000000000000000,1006,219,7.193615886138802650862089649308,0.000500000000000000010408340856,True,False
618,618_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,6.327168974376117915880968212150,0.050000000000000002775557561563,True,False
619,619_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,3.221972973706497267443182863644,0.000500000000000000010408340856,True,False
620,620_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,5000,9.324076958271415804802018101327,0.036643011813152354116951414653,True,False
621,621_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3778,0.001000000000000000020816681712,0.021428075040348524421540687968,True,False
622,622_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,2.200787453636993351580031230696,0.000500000000000000010408340856,True,False
623,623_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,4753,727,6.090980405976962330782953358721,0.000500000000000000010408340856,True,False
624,624_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3394,1833,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
625,625_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,423.000000000000000000000000000000,2550,3567,7.010929503011728236572253081249,0.050000000000000002775557561563,False,True
626,626_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,2.651140639055901360165989899542,0.000500000000000000010408340856,True,False
627,627_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,364.000000000000000000000000000000,5000,3101,0.001000000000000000020816681712,0.000500000000000000010408340856,False,True
628,628_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,626.000000000000000000000000000000,3533,2009,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
629,629_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,719.000000000000000000000000000000,406,1974,4.291734484786593029070900229272,0.000500000000000000010408340856,True,True
630,630_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1150.000000000000000000000000000000,204,688,4.987848043615697335440017923247,0.050000000000000002775557561563,True,True
631,631_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,402.000000000000000000000000000000,3821,4448,4.494811670665455949347233399749,0.050000000000000002775557561563,False,True
632,632_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,1265,6.322307439103911796962620428530,0.050000000000000002775557561563,False,False
633,633_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4496,8.223321959259825675303545722272,0.050000000000000002775557561563,False,False
634,634_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1037.000000000000000000000000000000,842,1188,0.001000000000000000020816681712,0.000500000000000000010408340856,False,True
635,635_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1122.000000000000000000000000000000,677,891,3.143977472567321740370971383527,0.050000000000000002775557561563,True,True
636,636_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,880.000000000000000000000000000000,5000,1135,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
637,637_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,487.000000000000000000000000000000,1,4894,0.333896147613101768047982886856,0.050000000000000002775557561563,True,True
638,638_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,3637,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
639,639_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,2651,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
640,640_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,381.000000000000000000000000000000,4976,4250,4.649428834779114616537754045567,0.000500000000000000010408340856,False,True
641,641_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,418.000000000000000000000000000000,1155,3221,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
642,642_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,3951,1690,6.108516845044984933110754354857,0.050000000000000002775557561563,True,False
643,643_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2309,2,2.592721943144155272165107817273,0.050000000000000002775557561563,True,False
644,644_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,441.000000000000000000000000000000,5000,4452,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
645,645_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,785,4818,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
646,646_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,746.000000000000000000000000000000,5000,1617,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
647,647_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,971.000000000000000000000000000000,734,1044,5.415013795959674247626480791951,0.050000000000000002775557561563,False,True
648,648_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,638.000000000000000000000000000000,2191,2420,6.920747569815920208213810838060,0.050000000000000002775557561563,True,True
649,649_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,700.000000000000000000000000000000,4995,1120,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
650,650_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,549.000000000000000000000000000000,3226,3453,10.000000000000000000000000000000,0.000500000000000000010408340856,True,True
651,651_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4904,1200,4.170822368958192249976946186507,0.050000000000000002775557561563,False,False
652,652_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,478.000000000000000000000000000000,403,3504,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
653,653_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,2.000000000000000000000000000000,891,1007,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
654,654_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,12.000000000000000000000000000000,3983,98,5.787881117182728019088244764134,0.000500000000000000010408340856,True,False
655,655_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,2.000000000000000000000000000000,891,1019,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
656,656_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,3.000000000000000000000000000000,839,1020,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
657,657_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,497,1.688176730986534535006171608984,0.050000000000000002775557561563,False,False
658,658_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1022,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
659,659_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,2.000000000000000000000000000000,5000,1018,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
660,660_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,3.000000000000000000000000000000,5000,1010,0.001000000000000000020816681712,0.023363444341260038161767198517,True,False
661,661_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,2.000000000000000000000000000000,891,1019,0.001000000000000000020816681712,0.026269565304066842814645355020,False,False
662,662_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,2.000000000000000000000000000000,1,1009,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
663,663_0,FAILED,BoTorch,BOTORCH_MODULAR,,,875,2,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
664,664_0,FAILED,BoTorch,BOTORCH_MODULAR,,,873,2,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
665,665_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,892,2040,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
666,666_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,893,2064,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
667,667_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,3.000000000000000000000000000000,5000,1007,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
668,668_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,870,993,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
669,669_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,864,992,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
670,670_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,3.000000000000000000000000000000,5000,1018,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
671,671_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,2.000000000000000000000000000000,5000,1010,0.001000000000000000020816681712,0.030554337965255591591517969619,False,False
672,672_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,3.000000000000000000000000000000,1,1013,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
673,673_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,2.000000000000000000000000000000,1,1011,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
674,674_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1024,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
675,675_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,3.000000000000000000000000000000,891,1007,0.001000000000000000020816681712,0.031502690206398405170507004414,True,False
676,676_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,2.000000000000000000000000000000,5000,939,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
677,677_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,2.000000000000000000000000000000,1,995,0.001000000000000000020816681712,0.026139027658628820327546549152,False,False
678,678_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,2.000000000000000000000000000000,5000,934,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
679,679_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,2.000000000000000000000000000000,5000,929,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
680,680_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1024,1084,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
681,681_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,3.000000000000000000000000000000,5000,941,0.001000000000000000020816681712,0.021382396698758743269763726857,True,False
682,682_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,5.000000000000000000000000000000,5000,985,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
683,683_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1319,896,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
684,684_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,5000,986,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
685,685_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,995,0.001000000000000000020816681712,0.017493569224256416000384817266,True,False
686,686_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,989,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
687,687_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,1012,3.017717123299449077933331864187,0.050000000000000002775557561563,False,False
688,688_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,2459,982,4.875010843781018010645311733242,0.047907129275637963528033935745,True,False
689,689_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1633,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
690,690_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,987,0.001000000000000000020816681712,0.017488170663437191398870140802,False,False
691,691_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4378,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
692,692_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,2.000000000000000000000000000000,5000,941,0.001000000000000000020816681712,0.027889016967531574803240701499,False,False
693,693_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3665,3454,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
694,694_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.819999999999999951150186916493,2.000000000000000000000000000000,1,52,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
695,695_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,2704,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
696,696_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3250,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
697,697_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3710,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
698,698_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3932,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
699,699_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1024,1107,0.001000000000000000020816681712,0.031455844470692335967942909747,False,False
700,700_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1318,866,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
701,701_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1646,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
702,702_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,1003,2.132657264410167119450534300995,0.000500000000000000010408340856,True,False
703,703_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4059,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
704,704_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4607,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
705,705_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3486,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
706,706_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,4061,2216,6.252092540627375072403992817272,0.050000000000000002775557561563,True,False
707,707_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,4820,2421,10.000000000000000000000000000000,0.040486152959829047048856409674,True,False
708,708_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,1299,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
709,709_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1121,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
710,710_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,35,1771,6.618014536126241686986304557649,0.000805025813236840185292686467,True,False
711,711_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4266,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
712,712_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,3797,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
713,713_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1571,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
714,714_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3167,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
715,715_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,4153,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
716,716_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,2555,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
717,717_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3220,4302,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
718,718_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,986,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
719,719_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,2989,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
720,720_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1119,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
721,721_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,5000,867,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
722,722_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4257,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
723,723_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,1010,1.915263139045742635246938334603,0.050000000000000002775557561563,False,False
724,724_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,389,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
725,725_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,2173,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
726,726_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3157,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
727,727_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,981,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
728,728_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,873,1.030632437916435550917526597914,0.000500000000000000010408340856,False,False
729,729_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,2015,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
730,730_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4433,4591,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
731,731_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,941,1.245256230862085811139650104451,0.020424988393488167220946039038,False,False
732,732_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,5.000000000000000000000000000000,5000,380,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
733,733_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1140,0.001000000000000000020816681712,0.025129722679286464054326799555,False,False
734,734_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,3011,4.990892568482629521042781561846,0.050000000000000002775557561563,True,False
735,735_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,183,2903,2.675690598788110996508748939959,0.000500000000000000010408340856,True,False
736,736_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1109,448,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
737,737_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,5000,853,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
738,738_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,2600,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
739,739_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,1075,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
740,740_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3785,4808,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
741,741_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1010,1.713226793245143930732865555910,0.050000000000000002775557561563,True,False
742,742_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,2177,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
743,743_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,3886,10.000000000000000000000000000000,0.033370600945504570733479710043,True,False
744,744_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4434,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
745,745_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4761,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
746,746_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,333,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
747,747_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1280,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
748,748_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4084,3455,4.634256367406284660148685361492,0.050000000000000002775557561563,False,False
749,749_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,4801,1352,5.739009154793450306897284463048,0.000500000000000000010408340856,True,False
750,750_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1765,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
751,751_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,5000,1487,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
752,752_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1972,10.000000000000000000000000000000,0.003401628259213437029812032719,True,False
753,753_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,891,992,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
754,754_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,4565,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
755,755_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,2.000000000000000000000000000000,1,995,0.001000000000000000020816681712,0.012390448500874106166347310420,False,False
756,756_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,2449,4.662176131049248439808252442162,0.043296825050215051455815284953,False,False
757,757_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3258,396,5.285492059732820102624373248545,0.050000000000000002775557561563,False,False
758,758_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4387,5.715657814827972416082957352046,0.000500000000000000010408340856,False,False
759,759_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,2925,5.630919808927955294564071664354,0.050000000000000002775557561563,True,False
760,760_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3357,3.825743252479762990247991183423,0.050000000000000002775557561563,True,False
761,761_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,365,4061,1.868587438246745335845844238065,0.039701070940996174840620369650,False,False
762,762_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,4.303028484452701363238702469971,0.021782442560658005215046273406,True,False
763,763_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,2308,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
764,764_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,5000,1140,0.001000000000000000020816681712,0.028139943383998399645262722402,True,False
765,765_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,994,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
766,766_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1319,899,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
767,767_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,2.000000000000000000000000000000,1,938,0.988969612805067677108183943346,0.000500000000000000010408340856,False,False
768,768_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3835,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
769,68_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
770,770_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,5.820792039238900095199369388865,0.000500000000000000010408340856,True,False
771,771_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,8.298500086745356441042531514540,0.050000000000000002775557561563,True,False
772,772_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4926,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
773,773_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,4944,3821,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
774,774_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,995,0.001000000000000000020816681712,0.033162843814919872043045501186,True,False
775,775_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,5000,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
776,776_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3354,6.608991318895873767758075700840,0.050000000000000002775557561563,False,False
777,777_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,4870,4.147265821608121072472386003938,0.050000000000000002775557561563,True,False
778,778_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,1825,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
779,779_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,2156,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
780,780_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,1,1584,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
781,781_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,1957,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
782,782_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3246,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
783,783_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,860,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
784,784_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3036,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
785,785_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,1407,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
786,786_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,4766,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
787,787_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,5.893428126568789338080023298971,0.050000000000000002775557561563,True,False
788,788_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3266,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
789,789_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3107,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
790,790_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,1101,10.000000000000000000000000000000,0.026067232419228199974403636929,False,False
791,791_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,2879,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
792,792_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4256,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
793,793_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,563,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
794,794_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,4574,4.700218618366636569305683224229,0.050000000000000002775557561563,True,False
795,795_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,4405,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
796,796_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,2994,6.478116772704632708723693212960,0.023638544466723195730528672698,False,False
797,88_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
798,798_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,5000,2475,0.566831467128920296616456653283,0.000500000000000000010408340856,True,False
799,799_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.625477470508530419834869462647,0.050000000000000002775557561563,True,False
800,800_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4842,2615,3.182741681103837816380064396071,0.050000000000000002775557561563,False,False
801,801_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,921,0.933300342876919986068173784588,0.050000000000000002775557561563,True,False
802,88_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
803,803_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1125,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
804,804_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.849999999999999977795539507497,3.000000000000000000000000000000,1,938,0.898565057646992793038975833042,0.000500000000000000010408340856,True,False
805,805_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4440,3.345152328008961450933611558867,0.000500000000000000010408340856,True,False
806,806_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,2241,5.629740057844363043670909974026,0.049055131839629957657411551963,False,False
807,807_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,1,1095,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
808,808_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,4675,4,3.423524192342332295169171629823,0.033076241896502545092317859599,False,False
809,809_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,5000,987,4.436268389763509567558230628492,0.000500000000000000010408340856,True,False
810,810_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,938,1.481314649871372512990319592063,0.030795781470745121205512262463,False,False
811,811_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,431,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
812,812_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,2732,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
813,813_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1752,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
814,814_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4902,4340,6.154948603254957184560680616414,0.050000000000000002775557561563,False,False
815,815_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3909,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
816,816_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,2010,9.499408119858323118478438118473,0.043639440247584190823992855712,True,False
817,75_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
818,818_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,28.000000000000000000000000000000,5000,44,10.000000000000000000000000000000,0.028576956256491765906435631450,True,False
819,819_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,5000,677,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
820,820_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3801,7.577804557998531365115013613831,0.050000000000000002775557561563,True,False
821,821_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,2776,5.122314707200072980697314051213,0.004185362336860024012885617140,True,False
822,822_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,897,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
823,823_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3629,312,4.672782598659622976811078842729,0.000500000000000000010408340856,False,False
824,824_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,980,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
825,825_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1010,1.194434358366602833001479666564,0.029895504648196152830408323098,True,False
826,826_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1259,2512,7.688837905808650674543969216757,0.000500000000000000010408340856,False,False
827,75_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
828,828_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,2.661181038148864974601792710018,0.000500000000000000010408340856,False,False
829,829_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3556,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
830,830_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4677,2,4.381008677369334414208879024955,0.050000000000000002775557561563,True,False
831,831_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,2601,9.481056676734961996544370776974,0.050000000000000002775557561563,False,False
832,832_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,3.371014110292412269132000801619,0.006604871407358379672980497332,True,False
833,833_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3991,3573,3.212085270659474467436211853055,0.000500000000000000010408340856,True,False
834,834_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1101,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
835,835_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4383,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
836,836_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,3076,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
837,837_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1327,3460,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
838,838_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,897,0.001000000000000000020816681712,0.023469681211564605294306318228,True,False
839,839_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,5000,679,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
840,840_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,4.263981677352968624461482249899,0.000500000000000000010408340856,True,False
841,841_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,3382,10.000000000000000000000000000000,0.002759878778870734298417355390,True,False
842,842_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,3376,2099,3.932986675049855662678055523429,0.050000000000000002775557561563,True,False
843,843_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,292,2055,3.659913563293518024011063971557,0.000500000000000000010408340856,True,False
844,844_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4480,1.257217510900511925342470931355,0.050000000000000002775557561563,False,False
845,845_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3539,8.305490370464072569234303955454,0.050000000000000002775557561563,False,False
846,846_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3383,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
847,847_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,893,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
848,848_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,5000,2771,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
849,849_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.941779838151367343357378558721,0.050000000000000002775557561563,True,False
850,850_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,2933,4.555811995464638997077599924523,0.000500000000000000010408340856,True,False
851,68_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
852,852_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1812,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
853,853_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1010,1.412621884085796475361007651372,0.000500000000000000010408340856,True,False
854,854_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,343,5.629768962546661370538458868396,0.050000000000000002775557561563,False,False
855,855_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,1595,1.484423613922267515263797577063,0.000500000000000000010408340856,False,False
856,856_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3619,0.001000000000000000020816681712,0.018602351154300998670176880978,False,False
857,857_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.482759216461978279966160698677,0.050000000000000002775557561563,True,False
858,858_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,1254,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
859,859_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3266,0.001000000000000000020816681712,0.040172210534177354990248431932,True,False
860,860_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,3935,4776,5.929395262908574437688002944924,0.000500000000000000010408340856,True,False
861,861_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,5.059481938491827257564636965981,0.000500000000000000010408340856,True,False
862,862_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,1685,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
863,863_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4359,3219,0.001000000000000000020816681712,0.015396794907522291795398672321,False,False
864,864_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,10,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
865,865_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4861,2259,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
866,866_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4852,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
867,88_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
868,868_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4675,4,2.309915118119461485690635527135,0.041634702736696831137930274735,True,False
869,869_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,4764,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
870,870_0,FAILED,BoTorch,BOTORCH_MODULAR,,,965,2,3.730134089067611569134896853939,0.000500000000000000010408340856,True,False
871,871_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4712,3.234803090457244234556810624781,0.050000000000000002775557561563,False,False
872,872_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4574,5.146165043052818077740084845573,0.000500000000000000010408340856,False,False
873,873_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,7.931176330213237868349551717984,0.050000000000000002775557561563,True,False
874,88_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
875,875_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4581,447,7.297426516238290972182767291088,0.000500000000000000010408340856,False,False
876,876_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,4364,7.787061543077332004259005771019,0.000500000000000000010408340856,True,False
877,877_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,2692,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
878,878_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,3670,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
879,879_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,6.556988900723726310104666481493,0.050000000000000002775557561563,True,False
880,880_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,3585,5.586488697974584916039475501748,0.050000000000000002775557561563,True,False
881,881_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,1,411,8.155486758500790855919149180409,0.050000000000000002775557561563,True,False
882,75_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
883,883_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,7.000000000000000000000000000000,1,2,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
884,884_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,2664,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
885,885_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3793,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
886,886_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
887,887_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,3154,992,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
888,888_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,1010,1.897394738651565049281089159194,0.000500000000000000010408340856,False,False
889,889_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1124,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
890,890_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2992,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
891,891_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,3154,988,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
892,892_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4792,2,3.502994008168910156086894858163,0.050000000000000002775557561563,True,False
893,893_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,4944,3822,0.001000000000000000020816681712,0.048012466234296773126555279987,True,False
894,894_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,4581,466,8.233967960587932566340896300972,0.050000000000000002775557561563,True,False
895,895_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,2266,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
896,896_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,2297,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
897,897_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,3154,985,0.001000000000000000020816681712,0.029599600756797135592268688242,True,False
898,898_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3920,3.066321541992478749705242080381,0.050000000000000002775557561563,True,False
899,899_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,9.000000000000000000000000000000,5000,2,3.218102484786426131790904037189,0.000500000000000000010408340856,False,False
900,900_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,884,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
901,901_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,2.973672515371883484647241857601,0.050000000000000002775557561563,True,False
902,902_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2580,3807,6.906941836409282942099707724992,0.000500000000000000010408340856,False,False
903,903_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,4.311061458932245571418206964154,0.050000000000000002775557561563,True,False
904,904_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,5000,0.001000000000000000020816681712,0.031456197874592972674179236492,True,False
905,905_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3700,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
906,906_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,3154,987,0.001000000000000000020816681712,0.026751736006168921194747767345,False,False
907,907_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4491,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
908,908_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,1098,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
909,909_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.547292603715722414392530481564,0.050000000000000002775557561563,True,False
910,910_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,2220,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
911,75_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
912,912_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,3154,980,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
913,913_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4473,8.393662008869508639463674626313,0.050000000000000002775557561563,False,False
914,914_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1648,0.001000000000000000020816681712,0.025095075115241536473087435866,False,False
915,915_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,4610,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
916,916_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,2973,3.964376147897045399304261081852,0.000500000000000000010408340856,False,False
917,917_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,780.000000000000000000000000000000,1,4628,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
918,918_0,FAILED,BoTorch,BOTORCH_MODULAR,,,959,2,3.368135559178438764860175069771,0.000500000000000000010408340856,True,False
919,919_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,5000,877,0.001000000000000000020816681712,0.026990205631589766349653913835,True,False
920,920_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1701,0.872213495227351032212936843280,0.000500000000000000010408340856,False,False
921,921_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,6.539278791063121154536474932684,0.050000000000000002775557561563,True,False
922,922_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1474,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
923,923_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.829999999999999960031971113494,2.000000000000000000000000000000,5000,530,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
924,924_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,2.919324115366902727686237994931,0.050000000000000002775557561563,True,False
925,925_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,5000,364,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
926,926_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,4844,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
927,88_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
928,928_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,2.740825604199522924631082787528,0.050000000000000002775557561563,True,False
929,929_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,2664,5.548363158296254482593212742358,0.050000000000000002775557561563,True,False
930,930_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,479,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
931,931_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,1,1125,0.001000000000000000020816681712,0.022471191135005938455115881425,True,False
932,932_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2267,2924,6.051656423335367129823225695873,0.000500000000000000010408340856,False,False
933,933_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,10.000000000000000000000000000000,1,2,3.345976718324853216302017244743,0.050000000000000002775557561563,False,False
934,934_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.051103501663030126422881949111,0.050000000000000002775557561563,True,False
935,935_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.194540468779810460375756520079,0.000500000000000000010408340856,True,False
936,936_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3441,2.857688642791397448661427915795,0.014807750067259501519645326084,False,False
937,937_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,13,1563,4.796443886270473022648275218671,0.000500000000000000010408340856,True,False
938,938_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,1285,9.737079957105963856633934483398,0.000500000000000000010408340856,True,False
939,68_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
940,940_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,5000,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
941,941_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.398740470316515160931203354266,0.008143542935461944159980518521,True,False
942,942_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,5000,1707,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
943,943_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.254810871858108800580566821736,0.050000000000000002775557561563,True,False
944,944_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4670,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
945,945_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3795,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
946,946_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,4.115301829232098640432013780810,0.050000000000000002775557561563,True,False
947,947_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,1238,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
948,948_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.222779959214982170578878140077,0.050000000000000002775557561563,True,False
949,949_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,15,2301,2.747069269092090149086970995995,0.024845600874796210100203808224,True,False
950,950_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.159087007677706004926676541800,0.033255336428453810548866442787,True,False
951,951_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,3153,998,0.001000000000000000020816681712,0.014689504795473946191508574088,True,False
952,952_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,2664,6.511962265811512828861395973945,0.022855267967416433710914347444,True,False
953,953_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.451757759311066653395982939401,0.000500000000000000010408340856,True,False
954,886_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
955,955_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,4.112327243775115270807418710319,0.000500000000000000010408340856,True,False
956,956_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,904,8.696893656357836732695432147011,0.000500000000000000010408340856,False,False
957,957_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,2475,1078,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
958,958_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,4473,4146,5.255002215032614110157282993896,0.000500000000000000010408340856,True,False
959,88_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
960,960_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,41.000000000000000000000000000000,1,28,9.437661482608545426842283632141,0.000500000000000000010408340856,True,False
961,961_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,3545,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
962,962_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,679,10.000000000000000000000000000000,0.005576849341301715230756474995,False,False
963,963_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,4120,6.873437663136771291760851454455,0.050000000000000002775557561563,True,False
964,964_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4902,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
965,965_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.767046382186538977521195192821,0.050000000000000002775557561563,True,False
966,966_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3854,10.000000000000000000000000000000,0.020850450307898359125768905642,False,False
967,967_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,5000,978,3.919575908194490754254957209923,0.050000000000000002775557561563,True,False
968,968_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,4.037339762039201751520067773527,0.050000000000000002775557561563,True,False
969,969_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,5000,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
970,970_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,3754,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
971,971_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,2088,2398,8.006345069451183960040907550137,0.000500000000000000010408340856,True,False
972,972_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,289,4150,4.670423590176067563106698798947,0.050000000000000002775557561563,False,False
973,88_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
974,974_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.639943292012069786522943104501,0.032221245649437652014412947210,True,False
975,975_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3560,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
976,976_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,1,2215,4.961632870523199123624635831220,0.050000000000000002775557561563,True,False
977,977_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,1595,6.608866349201179879457868082682,0.000500000000000000010408340856,False,False
978,978_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,3118,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
979,979_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,5.265707327554267180858005303890,0.050000000000000002775557561563,True,False
980,980_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.947777576945644462114159978228,0.050000000000000002775557561563,True,False
981,981_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4095,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
982,982_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,4.235289430536825605599915434141,0.012940867310016096122793349821,True,False
983,983_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1261,1984,10.000000000000000000000000000000,0.030527733227835897322766101070,True,False
984,984_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,2887,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
985,985_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3769,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
986,986_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,4848,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
987,987_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,4.635835302272978353244070603978,0.050000000000000002775557561563,True,False
988,988_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4368,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
989,989_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,48,2374,0.001000000000000000020816681712,0.035406743233175975993365369732,False,False
990,990_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,285,1995,8.154990893080359626310382736847,0.050000000000000002775557561563,True,False
991,991_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.999583315273069317186127591413,0.050000000000000002775557561563,True,False
992,992_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,5000,4955,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
993,993_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,10.000000000000000000000000000000,0.004460772760297030195553169563,True,False
994,994_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,3.878336273564185976425733315409,0.000500000000000000010408340856,True,False
995,995_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,5000,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
996,996_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,4.248954738551073972985250293277,0.050000000000000002775557561563,True,False
997,997_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2475,1013,1.747448924996749752835967228748,0.021375735860924845177510889016,False,False
998,998_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4874,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
999,999_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,3167,10.000000000000000000000000000000,0.019666815796449205883122957061,True,False
1000,1000_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,34,1771,6.451862844537036068004454136826,0.050000000000000002775557561563,False,False
1001,1001_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,3300,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
1002,1002_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,2285,3110,3.483920241071781109809535337263,0.050000000000000002775557561563,False,False
1003,1003_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,4562,2286,2.746930041669678690396949605201,0.000500000000000000010408340856,True,False
1004,1004_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.361999288356202875149847386638,0.000500000000000000010408340856,True,False
1005,1005_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,3.000000000000000000000000000000,5000,1446,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
1006,1006_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,2453,1127,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
1007,1007_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4750,3215,6.562280421449385059418091259431,0.050000000000000002775557561563,False,False
1008,1008_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,1,4918,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
1009,1009_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,2963,0.001000000000000000020816681712,0.030327518258871328377113130159,False,False
1010,1010_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,2.000000000000000000000000000000,1,2711,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
1011,1011_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,4373,4171,0.001000000000000000020816681712,0.012476900788050042725996213733,True,False
1012,1012_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.016845881762502123990543623222,0.050000000000000002775557561563,True,False
1013,1013_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,4.000000000000000000000000000000,5000,388,5.131986010327202585301620274549,0.050000000000000002775557561563,True,False
1014,1014_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.669092979995324022013392095687,0.042547873992041594648494395869,True,False
1015,1015_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,9.000000000000000000000000000000,5000,2,4.087348217369330960480056091910,0.050000000000000002775557561563,False,False
1016,1016_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,7.174988242894248635650455980795,0.050000000000000002775557561563,True,False
1017,1017_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.839999999999999968913755310496,1.000000000000000000000000000000,5000,1975,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
1018,1018_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,4724,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
</pre>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; as file</button>
			<script>
				createTable(tab_results_csv_json, tab_results_headers_json, 'tab_results_csv_table');</script>
			
			<h1>&nbsp;Errors</h1>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download &raquo;oo_errors.txt&laquo; as file</button>
<pre id='simple_pre_tab_tab_errors'><span style="background-color: black; color: white">
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4903361/4903361_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4903479/4903479_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4903572/4903572_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4903782/4903782_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4903883/4903883_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4904107/4904107_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4904311/4904311_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4904540/4904540_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4904754/4904754_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4905491/4905491_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4905903/4905903_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4906002/4906002_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4906105/4906105_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4906186/4906186_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4906279/4906279_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4906514/4906514_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4906998/4906998_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4907355/4907355_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4907692/4907692_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4907811/4907811_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4907933/4907933_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4908059/4908059_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4908287/4908287_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4908743/4908743_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4909463/4909463_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4909757/4909757_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4909935/4909935_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4910286/4910286_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4911218/4911218_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4913485/4913485_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4913615/4913615_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4913977/4913977_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4914223/4914223_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4914330/4914330_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4914432/4914432_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4914527/4914527_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4914647/4914647_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4914954/4914954_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4915096/4915096_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4915189/4915189_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4915463/4915463_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4915668/4915668_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4915931/4915931_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4916278/4916278_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4916389/4916389_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4916755/4916755_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4917386/4917386_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4917508/4917508_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4917636/4917636_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4917883/4917883_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4918162/4918162_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4918300/4918300_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4918901/4918901_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4919938/4919938_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4923534/4923534_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4927178/4927178_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4927292/4927292_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4944720/4944720_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4946171/4946171_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4946358/4946358_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4946592/4946592_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4949981/4949981_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4952114/4952114_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4952509/4952509_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4953172/4953172_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4957454/4957454_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4960006/4960006_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4960844/4960844_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4961260/4961260_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4963243/4963243_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4965557/4965557_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4966023/4966023_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4967572/4967572_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4968568/4968568_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4969270/4969270_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4970033/4970033_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4970321/4970321_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4970876/4970876_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4971610/4971610_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4971874/4971874_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4973388/4973388_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4974324/4974324_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4975452/4975452_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4976435/4976435_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4976909/4976909_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4979223/4979223_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4979747/4979747_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4981445/4981445_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4981990/4981990_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4983813/4983813_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4984637/4984637_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4985410/4985410_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4986180/4986180_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4986429/4986429_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4987992/4987992_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4988210/4988210_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4989207/4989207_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4991228/4991228_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4992895/4992895_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4993667/4993667_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4994126/4994126_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4994620/4994620_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4995356/4995356_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4995618/4995618_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4995807/4995807_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4996831/4996831_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4998512/4998512_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4999328/4999328_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5000622/5000622_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5000868/5000868_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5002442/5002442_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5002809/5002809_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5003259/5003259_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5004981/5004981_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5006513/5006513_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5007203/5007203_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5007571/5007571_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5008200/5008200_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5011004/5011004_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5013719/5013719_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5014436/5014436_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5015252/5015252_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>32                                                                                                                                 </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/HDDDM_TMDBalanced5s_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">1746192416.983809,20,0,0
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1746729655.6381931,20,1,5
1746729655.8809052,20,1,5
1746731934.8775475,20,1,5
1746731935.3570764,20,1,5
1746731937.0381415,20,2,10
1746731937.5834873,20,2,10
1746731957.244548,20,1,5
1746731957.4608476,20,1,5
1746733860.039011,20,1,5
1746733860.4209785,20,1,5
1746733862.4908414,20,2,10
1746733862.7903724,20,2,10
1746733883.4837177,20,1,5
1746733883.8688242,20,1,5
1746736442.8927436,20,1,5
1746736443.2379315,20,1,5
1746736444.8513432,20,2,10
1746736445.3598628,20,2,10
1746736465.045931,20,1,5
1746736465.2476137,20,1,5
1746738803.4773767,20,1,5
1746738803.9886117,20,1,5
1746738805.4705112,20,2,10
1746738805.7991424,20,2,10
1746738826.1626282,20,1,5
1746738826.3489702,20,1,5
1746740855.6162004,20,1,5
1746740856.0128787,20,1,5
1746740857.411073,20,2,10
1746740857.7103946,20,2,10
1746740876.33192,20,1,5
1746740876.7980208,20,1,5
1746743255.5898416,20,1,5
1746743255.9485655,20,1,5
1746743257.3416758,20,2,10
1746743257.954949,20,2,10
1746743278.0316603,20,1,5
1746743278.2363212,20,1,5
1746745850.5523276,20,1,5
1746745850.9979012,20,1,5
1746745852.6159163,20,2,10
1746745852.9782913,20,2,10
1746745872.3122158,20,1,5
1746745872.7585535,20,1,5
1746747931.9121842,20,1,5
1746747932.2202544,20,1,5
1746747934.0152063,20,2,10
1746747934.608482,20,2,10
1746747954.7314007,20,1,5
1746747954.9186583,20,1,5
1746750952.4092586,20,1,5
1746750952.7850487,20,1,5
1746750954.2316208,20,2,10
1746750954.7385967,20,2,10
1746750974.726916,20,1,5
1746750974.9742167,20,1,5
</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
1746192416,648.671875,31.6
1746192416,648.67578125,33.4
1746192417,648.734375,31.9
1746192417,648.734375,33.3
1746192417,648.734375,33.3
1746192417,648.734375,35.0
1746192417,648.734375,34.7
1746204336,893.015625,39.6
1746204336,893.015625,35.0
1746204336,893.015625,35.3
1746204336,893.015625,36.5
1746216189,983.4140625,30.5
1746216189,983.4140625,23.3
1746216190,983.4140625,22.9
1746216190,983.4140625,30.2
1746226015,1019.59765625,18.7
1746226016,1019.59765625,17.0
1746226016,1019.59765625,16.2
1746226016,1019.59765625,16.0
1746238466,1058.2109375,16.1
1746238466,1058.2109375,15.3
1746238466,1058.2109375,14.8
1746238466,1058.2109375,14.3
1746249664,1052.84375,15.5
1746249664,1052.84375,13.7
1746249664,1052.84375,13.8
1746249664,1052.84375,8.3
1746261520,1085.5,16.4
1746261520,1085.5,14.0
1746261520,1085.5,13.9
1746261520,1085.5,14.0
1746277350,1049.75,16.5
1746277350,1049.75,15.1
1746277351,1049.75,15.1
1746277351,1049.75,14.6
1746294698,1117.7109375,19.5
1746294698,1117.7109375,23.9
1746294698,1117.7109375,23.6
1746294698,1117.7109375,23.7
1746306983,1191.6796875,20.3
1746306983,1191.6796875,18.7
1746306983,1191.6796875,18.0
1746306983,1191.6796875,17.6
1746321242,1174.97265625,19.9
1746321242,1174.97265625,21.8
1746321242,1174.97265625,22.9
1746321242,1174.97265625,15.8
1746338035,1249.3984375,20.2
1746338035,1249.3984375,19.5
1746338035,1249.3984375,20.6
1746338035,1249.3984375,25.0
1746355680,1234.96484375,20.3
1746355680,1234.96484375,23.3
1746355680,1234.96484375,21.3
1746355680,1234.96484375,17.9
1746375893,1231.35546875,24.7
1746375893,1231.35546875,20.2
1746375893,1231.35546875,20.2
1746375893,1231.35546875,19.1
1746398455,1247.26171875,26.9
1746398455,1247.26171875,25.6
1746398455,1247.26171875,26.0
1746398455,1247.26171875,28.6
1746420789,1279.84375,21.9
1746420789,1279.84375,21.7
1746420789,1279.84375,21.1
1746420789,1279.84375,25.9
1746445241,1290.921875,20.7
1746445241,1290.921875,23.9
1746445241,1290.921875,23.9
1746445241,1290.921875,25.5
1746471943,1304.6953125,20.5
1746471943,1304.6953125,22.0
1746471943,1304.6953125,21.4
1746471943,1304.6953125,21.7
1746502131,1323.72265625,20.3
1746502131,1323.72265625,22.4
1746502131,1323.72265625,22.1
1746502131,1323.72265625,25.0
1746532554,1322.11328125,20.4
1746532554,1322.11328125,22.4
1746532554,1322.11328125,21.8
1746532554,1322.11328125,17.4
1746564759,1394.19140625,17.3
1746564759,1394.19140625,16.3
1746564759,1394.19140625,16.2
1746564759,1394.19140625,19.2
1746599114,1368.8125,16.1
1746599114,1368.8125,16.5
1746599114,1368.8125,15.9
1746599114,1368.8125,22.0
1746631637,1415.33203125,13.7
1746631637,1415.33203125,12.0
1746631637,1415.33203125,11.5
1746631637,1415.33203125,8.1
1746665691,1418.84765625,11.9
1746665691,1418.84765625,12.3
1746665692,1418.84765625,11.8
1746665692,1418.84765625,8.5
1746705161,1431.41796875,13.0
1746705161,1431.41796875,15.1
1746705161,1431.41796875,15.4
1746705161,1431.41796875,14.3
1746750987,1565.7265625,21.3
1746750987,1565.7265625,19.2
1746750987,1565.7265625,19.2
1746750987,1565.7265625,19.1
</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>
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