256597
2
Joaquin Vanschoren
4218
Supervised Classification
predictive_accuracy
1191
weka.LogitBoost_DecisionStump(3)
2043
weka.classifiers.meta.LogitBoost -- -P 100 -L -1.7976931348623157E308 -H 1.0 -Z 3.0 -O 1 -E 1 -S 1 -I 40 -W weka.classifiers.trees.DecisionStump
P
100
1191
L
-1.7976931348623157E308
1191
H
1.0
1191
Z
3.0
1191
O
1
1191
E
1
1191
S
1
1191
I
40
1191
W
weka.classifiers.trees.DecisionStump
1191
weka
weka_3.7.12
378
ipums_la_99-small
https://www.openml.org/data/download/52418/ipums_la_99-small.arff
-1
858028
description
https://api.openml.org/data/download/858028/weka_generated_run5019017130535676642.xml
-1
858031
model_readable
https://api.openml.org/data/download/858031/WekaModel_weka.classifiers.meta.LogitBoost6144930828004081742.model
-1
858030
model_serialized
https://api.openml.org/data/download/858030/WekaSerialized_weka.classifiers.meta.LogitBoost7024875957793337896.model
-1
858029
predictions
https://api.openml.org/data/download/858029/weka_generated_predictions3159959276585645790.arff
area_under_roc_curve
0.98136 [1,0.956907,0.936984,0.939843,0.939969,0.944793,0.976067]
average_cost
0
f_measure
0.815581 [1,0.532172,0.531515,0.378628,0.453258,0.201475,0.46929]
kappa
0.663977
kb_relative_information_score
59360.556128
mean_absolute_error
0.059894
mean_prior_absolute_error
0.155821
number_of_instances
88440 [58030,7100,9010,4030,5600,2700,1970]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.816632 [1,0.564633,0.530956,0.392439,0.39673,0.266789,0.44495]
predictive_accuracy
0.816893
prior_entropy
1.759357
recall
0.816893 [1,0.503239,0.532075,0.365757,0.528571,0.161852,0.496447]
relative_absolute_error
0.384373
root_mean_prior_squared_error
0.279062
root_mean_squared_error
0.179012
root_relative_squared_error
0.641478
scimark_benchmark
1350.470181 [801.2129551324673, 1000.4958509626932, 539.297736642617, 1101.4453251889015, 3309.899037725743]
total_cost
0
usercpu_time_millis
3320
usercpu_time_millis_testing
20
usercpu_time_millis_training
3300
area_under_roc_curve
0.983208 [1,0.967592,0.946136,0.942426,0.94141,0.932185,0.985145]
area_under_roc_curve
0.981059 [1,0.944588,0.944773,0.922119,0.951189,0.949085,0.970676]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.981778 [1,0.956726,0.934829,0.943343,0.944824,0.95025,0.975549]
area_under_roc_curve
0.980565 [1,0.952435,0.940426,0.922944,0.94463,0.944855,0.96052]
area_under_roc_curve
0.983002 [1,0.956985,0.940335,0.953166,0.952772,0.937128,0.979827]
area_under_roc_curve
0.982162 [1,0.959892,0.93522,0.951583,0.940085,0.94943,0.977428]
area_under_roc_curve
0.982373 [1,0.963327,0.938218,0.942988,0.948044,0.938077,0.971301]
area_under_roc_curve
0.981145 [1,0.956362,0.94689,0.933432,0.932319,0.933739,0.971676]
area_under_roc_curve
0.98162 [1,0.955142,0.939301,0.948387,0.933752,0.945847,0.982588]
area_under_roc_curve
0.980035 [1,0.958508,0.92601,0.941076,0.934161,0.941898,0.979367]
area_under_roc_curve
0.980656 [1,0.95901,0.9316,0.947853,0.938943,0.925559,0.974414]
area_under_roc_curve
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area_under_roc_curve
0.98175 [1,0.959148,0.947212,0.927041,0.938265,0.943797,0.969653]
area_under_roc_curve
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area_under_roc_curve
0.983604 [1,0.964763,0.943606,0.942544,0.947796,0.948718,0.983642]
area_under_roc_curve
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f_measure
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f_measure
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f_measure
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f_measure
0.813481 [1,0.539683,0.568306,0.30137,0.421769,0.190476,0.432432]
f_measure
0.830491 [1,0.601504,0.617021,0.371429,0.461538,0.297872,0.35]
f_measure
0.810423 [1,0.534351,0.538462,0.342105,0.463768,0.136364,0.324324]
f_measure
0.823692 [1,0.58209,0.542373,0.358974,0.481752,0.181818,0.578947]
f_measure
0.826479 [1,0.548148,0.530387,0.470588,0.441176,0.408163,0.461538]
f_measure
0.805651 [1,0.48,0.550265,0.288889,0.428571,0.105263,0.5]
f_measure
0.828749 [1,0.573427,0.563218,0.366197,0.507246,0.341463,0.465116]
f_measure
0.807411 [1,0.517986,0.48,0.315789,0.441176,0.291667,0.444444]
f_measure
0.816775 [1,0.590909,0.562162,0.337662,0.442748,0.136364,0.390244]
f_measure
0.803048 [1,0.418605,0.510638,0.432432,0.406504,0.170213,0.468085]
f_measure
0.815257 [1,0.554745,0.515789,0.365854,0.433333,0.297872,0.411765]
f_measure
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f_measure
0.810837 [1,0.49635,0.511111,0.372093,0.504065,0.097561,0.511628]
f_measure
0.815789 [1,0.542857,0.511628,0.452381,0.517483,0.111111,0.342857]
f_measure
0.817867 [1,0.611111,0.54321,0.329412,0.372093,0.266667,0.488889]
f_measure
0.809016 [1,0.484848,0.434783,0.453333,0.484848,0.136364,0.651163]
f_measure
0.809502 [1,0.551181,0.515789,0.465116,0.273504,0.173913,0.571429]
f_measure
0.827602 [1,0.586466,0.593407,0.441176,0.402985,0.28,0.439024]
f_measure
0.817285 [1,0.503937,0.52459,0.4,0.420168,0.297872,0.595745]
f_measure
0.819359 [1,0.615385,0.574713,0.285714,0.394161,0.255319,0.432432]
f_measure
0.819353 [1,0.569343,0.520231,0.384615,0.478261,0.162162,0.533333]
f_measure
0.828434 [1,0.514286,0.540541,0.426667,0.465517,0.44898,0.604651]
f_measure
0.820606 [1,0.553191,0.5,0.493506,0.466165,0.266667,0.4]
f_measure
0.809901 [1,0.510067,0.45122,0.45,0.511628,0.114286,0.470588]
f_measure
0.820321 [1,0.537313,0.576087,0.342105,0.416,0.232558,0.608696]
f_measure
0.799134 [1,0.473282,0.468571,0.337079,0.411765,0.117647,0.55814]
f_measure
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f_measure
0.817683 [1,0.541353,0.544444,0.447368,0.466165,0.1,0.434783]
f_measure
0.831513 [1,0.545455,0.530387,0.453333,0.5625,0.355556,0.468085]
f_measure
0.816948 [1,0.517986,0.530387,0.383562,0.48062,0.243902,0.444444]
f_measure
0.822256 [1,0.546875,0.535519,0.487805,0.440945,0.186047,0.533333]
f_measure
0.796152 [1,0.372093,0.443243,0.341463,0.488189,0.238095,0.511628]
f_measure
0.806402 [1,0.455285,0.494845,0.384615,0.4,0.227273,0.615385]
f_measure
0.825152 [1,0.512397,0.614583,0.432432,0.440945,0.297872,0.382979]
f_measure
0.808702 [1,0.532374,0.516854,0.345679,0.459259,0.114286,0.4]
f_measure
0.816585 [1,0.484848,0.538462,0.487805,0.465116,0.232558,0.35]
f_measure
0.814756 [1,0.471545,0.565657,0.328358,0.507692,0.204082,0.439024]
f_measure
0.812222 [1,0.496,0.531915,0.376471,0.484375,0.146341,0.439024]
f_measure
0.814407 [1,0.569343,0.597826,0.323529,0.402985,0.044444,0.45]
f_measure
0.823266 [1,0.571429,0.537634,0.53012,0.46875,0.235294,0.235294]
f_measure
0.811293 [1,0.48062,0.52356,0.328767,0.479452,0.27027,0.4375]
f_measure
0.822853 [1,0.538462,0.569832,0.432432,0.496454,0.097561,0.511628]
f_measure
0.810011 [1,0.530612,0.531792,0.219178,0.462687,0.216216,0.5]
f_measure
0.804759 [1,0.461538,0.494845,0.275,0.46875,0.243902,0.514286]
f_measure
0.830204 [1,0.553846,0.551351,0.481013,0.479339,0.269231,0.585366]
f_measure
0.803898 [1,0.511278,0.502732,0.384615,0.394161,0.095238,0.457143]
f_measure
0.806598 [1,0.542636,0.519337,0.298851,0.422764,0.045455,0.545455]
f_measure
0.822829 [1,0.565217,0.547368,0.506667,0.380165,0.195122,0.55814]
f_measure
0.803126 [1,0.478873,0.5,0.4,0.476923,0.1,0.277778]
f_measure
0.803237 [1,0.517986,0.511628,0.35443,0.359375,0.081633,0.536585]
f_measure
0.805701 [1,0.467742,0.530387,0.282051,0.405797,0.32,0.432432]
f_measure
0.804064 [1,0.611111,0.470588,0.309524,0.37594,0.15,0.378378]
f_measure
0.801035 [1,0.553846,0.436782,0.409091,0.394161,0.162162,0.333333]
f_measure
0.808953 [1,0.496,0.562162,0.285714,0.412698,0.227273,0.431373]
f_measure
0.809019 [1,0.525547,0.522727,0.338028,0.452555,0.139535,0.409091]
f_measure
0.816352 [1,0.571429,0.557377,0.388889,0.448,0.12766,0.341463]
f_measure
0.813742 [1,0.510949,0.513966,0.285714,0.510638,0.304348,0.428571]
f_measure
0.823983 [1,0.569343,0.552941,0.363636,0.515152,0.15,0.538462]
f_measure
0.809336 [1,0.503704,0.48913,0.388889,0.496241,0.146341,0.418605]
f_measure
0.819347 [1,0.542636,0.580645,0.357143,0.481752,0.105263,0.470588]
f_measure
0.790954 [1,0.439394,0.467391,0.296296,0.45,0,0.444444]
f_measure
0.815605 [1,0.508197,0.55914,0.4,0.432836,0.146341,0.52]
f_measure
0.822987 [1,0.605634,0.594286,0.25,0.459259,0.205128,0.488889]
f_measure
0.805868 [1,0.550725,0.502924,0.358974,0.396694,0.115385,0.416667]
f_measure
0.814706 [1,0.524138,0.5,0.282051,0.515152,0.3,0.487805]
f_measure
0.821873 [1,0.586466,0.543353,0.361446,0.484375,0.27451,0.35]
f_measure
0.817208 [1,0.529412,0.494253,0.358974,0.551181,0.227273,0.44898]
f_measure
0.82386 [1,0.528,0.554348,0.361446,0.518519,0.367347,0.375]
f_measure
0.810633 [1,0.532374,0.541176,0.35443,0.439394,0.177778,0.325581]
f_measure
0.817824 [1,0.60274,0.518987,0.423529,0.485714,0.090909,0.342857]
f_measure
0.807516 [1,0.484848,0.505263,0.394737,0.416,0.146341,0.545455]
f_measure
0.823069 [1,0.550725,0.505747,0.472222,0.514286,0.142857,0.571429]
f_measure
0.821339 [1,0.552239,0.582857,0.37037,0.409449,0.212766,0.545455]
f_measure
0.801801 [1,0.519084,0.505376,0.382022,0.307692,0.227273,0.390244]
f_measure
0.805943 [1,0.53125,0.554974,0.305882,0.347107,0.181818,0.410256]
f_measure
0.83287 [1,0.58209,0.576271,0.414634,0.472441,0.285714,0.615385]
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0.663464
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0.673766
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0.620278
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0.672427
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0.678194
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0.651022
kappa
0.680364
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kappa
0.63677
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kappa
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kb_relative_information_score
606.243213
kb_relative_information_score
589.266067
kb_relative_information_score
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kb_relative_information_score
599.454293
kb_relative_information_score
599.191357
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
592.158481
kb_relative_information_score
599.012893
kb_relative_information_score
612.003822
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
585.306085
kb_relative_information_score
596.943232
kb_relative_information_score
583.261665
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
621.303697
kb_relative_information_score
580.674948
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
602.693981
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
600.09527
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
594.356106
kb_relative_information_score
585.637051
kb_relative_information_score
603.537282
kb_relative_information_score
593.618439
kb_relative_information_score
584.780055
kb_relative_information_score
600.513979
kb_relative_information_score
601.735457
kb_relative_information_score
587.965249
kb_relative_information_score
593.050239
kb_relative_information_score
575.97717
kb_relative_information_score
576.785053
kb_relative_information_score
605.9484
kb_relative_information_score
584.633587
kb_relative_information_score
592.46629
kb_relative_information_score
587.835341
kb_relative_information_score
591.286535
kb_relative_information_score
593.807174
kb_relative_information_score
596.537059
kb_relative_information_score
589.013779
kb_relative_information_score
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kb_relative_information_score
593.27709
kb_relative_information_score
578.919715
kb_relative_information_score
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kb_relative_information_score
584.501589
kb_relative_information_score
584.344257
kb_relative_information_score
599.11033
kb_relative_information_score
584.315799
kb_relative_information_score
577.95819
kb_relative_information_score
592.990588
kb_relative_information_score
583.117199
kb_relative_information_score
581.253177
kb_relative_information_score
600.556398
kb_relative_information_score
589.493627
kb_relative_information_score
594.130766
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
607.8999
kb_relative_information_score
583.137545
kb_relative_information_score
596.209832
kb_relative_information_score
607.586447
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
596.460113
kb_relative_information_score
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kb_relative_information_score
587.134553
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
587.663297
kb_relative_information_score
588.84653
kb_relative_information_score
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
0.060859
mean_absolute_error
0.058364
mean_absolute_error
0.059783
mean_absolute_error
0.058377
mean_absolute_error
0.059925
mean_absolute_error
0.059216
mean_absolute_error
0.060911
mean_absolute_error
0.060452
mean_absolute_error
0.062187
mean_absolute_error
0.059336
mean_absolute_error
0.058238
mean_absolute_error
0.057426
mean_absolute_error
0.058914
mean_absolute_error
0.059088
mean_absolute_error
0.059113
mean_absolute_error
0.061139
mean_absolute_error
0.059918
mean_absolute_error
0.060772
mean_absolute_error
0.060759
mean_absolute_error
0.0596
mean_absolute_error
0.056868
mean_absolute_error
0.061059
mean_absolute_error
0.059147
mean_absolute_error
0.058823
mean_absolute_error
0.06251
mean_absolute_error
0.058232
mean_absolute_error
0.061503
mean_absolute_error
0.059047
mean_absolute_error
0.059968
mean_absolute_error
0.059667
mean_absolute_error
0.060291
mean_absolute_error
0.059348
mean_absolute_error
0.059875
mean_absolute_error
0.06038
mean_absolute_error
0.060976
mean_absolute_error
0.060933
mean_absolute_error
0.058458
mean_absolute_error
0.059597
mean_absolute_error
0.05929
mean_absolute_error
0.058567
mean_absolute_error
0.059921
mean_absolute_error
0.060369
mean_absolute_error
0.061453
mean_absolute_error
0.059022
mean_absolute_error
0.060226
mean_absolute_error
0.060649
mean_absolute_error
0.059859
mean_absolute_error
0.058522
mean_absolute_error
0.060533
mean_absolute_error
0.059843
mean_absolute_error
0.061641
mean_absolute_error
0.061594
mean_absolute_error
0.058253
mean_absolute_error
0.061252
mean_absolute_error
0.060315
mean_absolute_error
0.059797
mean_absolute_error
0.060358
mean_absolute_error
0.059556
mean_absolute_error
0.059238
mean_absolute_error
0.060372
mean_absolute_error
0.058501
mean_absolute_error
0.059117
mean_absolute_error
0.061056
mean_absolute_error
0.058112
mean_absolute_error
0.061356
mean_absolute_error
0.06105
mean_absolute_error
0.059329
mean_absolute_error
0.060769
mean_absolute_error
0.061299
mean_absolute_error
0.061053
mean_absolute_error
0.060942
mean_absolute_error
0.061001
mean_absolute_error
0.059643
mean_absolute_error
0.060083
mean_absolute_error
0.059983
mean_absolute_error
0.060318
mean_absolute_error
0.057853
mean_absolute_error
0.059026
mean_absolute_error
0.058188
mean_absolute_error
0.061731
mean_absolute_error
0.059608
mean_absolute_error
0.058819
mean_absolute_error
0.061807
mean_absolute_error
0.060057
mean_absolute_error
0.058939
mean_absolute_error
0.060108
mean_absolute_error
0.060167
mean_absolute_error
0.060167
mean_absolute_error
0.060031
mean_absolute_error
0.060574
mean_absolute_error
0.060114
mean_absolute_error
0.059232
mean_absolute_error
0.060752
mean_absolute_error
0.061022
mean_absolute_error
0.059214
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155759
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155946
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155759
mean_prior_absolute_error
0.155759
mean_prior_absolute_error
0.155759
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155759
mean_prior_absolute_error
0.155759
mean_prior_absolute_error
0.155759
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155767
mean_prior_absolute_error
0.155938
mean_prior_absolute_error
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0.155824
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0.155824
mean_prior_absolute_error
0.155832
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0.155832
mean_prior_absolute_error
0.155832
mean_prior_absolute_error
0.155824
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0.155824
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0.155824
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0.155824
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0.155824
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0.155824
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0.155832
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0.155806
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mean_prior_absolute_error
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884 [580,71,90,41,56,27,19]
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884 [580,71,90,40,56,27,20]
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884 [580,71,91,40,56,27,19]
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884 [580,71,90,41,56,27,19]
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884 [580,71,90,41,56,27,19]
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884 [580,71,90,40,56,27,20]
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884 [580,71,90,40,56,27,20]
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884 [580,71,90,40,56,27,20]
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884 [580,71,90,40,56,27,20]
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884 [580,71,90,40,56,27,20]
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884 [580,71,90,40,56,27,20]
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884 [580,71,90,40,56,27,20]
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884 [580,71,90,40,56,27,20]
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884 [580,71,90,40,56,27,20]
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884 [580,71,90,40,56,27,20]
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884 [580,71,90,40,56,27,20]
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884 [580,71,90,40,56,27,20]
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884 [580,71,90,40,56,27,20]
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884 [580,71,90,40,56,27,20]
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884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
number_of_instances
884 [580,71,90,40,56,27,20]
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0.825864 [1,0.619718,0.574713,0.368421,0.375,0.238095,0.6]
precision
0.806683 [1,0.462687,0.516129,0.333333,0.445946,0.266667,0.409091]
precision
0.813819 [1,0.52381,0.511628,0.432432,0.424658,0.210526,0.461538]
precision
0.829451 [1,0.611111,0.564356,0.432432,0.402597,0.333333,0.52381]
precision
0.828447 [1,0.558824,0.529412,0.526316,0.492537,0.294118,0.413793]
precision
0.814025 [1,0.528571,0.569767,0.368421,0.426471,0.1875,0.346154]
precision
0.819607 [1,0.507463,0.5,0.484848,0.464789,0.277778,0.52]
precision
0.819292 [1,0.566038,0.524272,0.380952,0.407895,0.384615,0.411765]
precision
0.821309 [1,0.590164,0.542553,0.5,0.474359,0.142857,0.235294]
precision
0.816387 [1,0.580645,0.553191,0.424242,0.368421,0.1875,0.391304]
precision
0.819373 [1,0.529412,0.545455,0.461538,0.373333,0.333333,0.454545]
precision
0.817342 [1,0.571429,0.516854,0.428571,0.405797,0.272727,0.4]
precision
0.824973 [1,0.629032,0.573034,0.365854,0.410256,0.25,0.428571]
precision
0.803477 [1,0.52381,0.453608,0.366667,0.362319,0.263158,0.5]
precision
0.823075 [1,0.596774,0.576087,0.354839,0.418919,0.25,0.44]
precision
0.828375 [1,0.583333,0.524272,0.551724,0.447368,0.277778,0.444444]
precision
0.838017 [1,0.591549,0.564706,0.464286,0.48,0.444444,0.518519]
precision
0.81601 [1,0.537313,0.534091,0.333333,0.378378,0.333333,0.571429]
precision
0.820735 [1,0.584615,0.564706,0.4,0.407895,0.166667,0.483871]
precision
0.823098 [1,0.573529,0.554217,0.424242,0.384615,0.333333,0.466667]
precision
0.811012 [1,0.584615,0.586667,0.357143,0.311111,0.071429,0.444444]
precision
0.80692 [1,0.553846,0.467391,0.333333,0.368421,0.3125,0.473684]
precision
0.812843 [1,0.492063,0.488372,0.395833,0.39726,0.333333,0.631579]
precision
0.802872 [1,0.512195,0.531646,0.30303,0.373333,0.1,0.48]
precision
0.818345 [1,0.618182,0.55914,0.333333,0.340659,0.266667,0.470588]
precision
0.832269 [1,0.645161,0.591837,0.433333,0.405405,0.35,0.35]
precision
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precision
0.825689 [1,0.619048,0.551724,0.368421,0.407407,0.235294,0.611111]
precision
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precision
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precision
0.833039 [1,0.569444,0.590361,0.433333,0.426829,0.5,0.416667]
precision
0.809516 [1,0.529412,0.5,0.333333,0.375,0.333333,0.5]
precision
0.817928 [1,0.639344,0.553191,0.361111,0.386667,0.176471,0.363636]
precision
0.803842 [1,0.465517,0.489796,0.470588,0.373134,0.2,0.407407]
precision
0.816277 [1,0.575758,0.494949,0.357143,0.40625,0.35,0.5]
precision
0.827718 [1,0.649123,0.556818,0.446809,0.4,0.277778,0.4]
precision
0.809789 [1,0.515152,0.516854,0.355556,0.462687,0.142857,0.458333]
precision
0.817318 [1,0.550725,0.536585,0.44186,0.425287,0.222222,0.4]
precision
0.822423 [1,0.60274,0.619718,0.311111,0.328767,0.333333,0.44]
precision
0.809414 [1,0.52459,0.430108,0.485714,0.421053,0.176471,0.608696]
precision
0.811254 [1,0.625,0.49,0.434783,0.262295,0.210526,0.545455]
precision
0.831549 [1,0.629032,0.586957,0.535714,0.346154,0.304348,0.428571]
precision
0.819204 [1,0.571429,0.516129,0.377778,0.396825,0.35,0.518519]
precision
0.821617 [1,0.611111,0.595238,0.344828,0.333333,0.3,0.444444]
precision
0.822146 [1,0.590909,0.542169,0.405405,0.402439,0.3,0.461538]
precision
0.828844 [1,0.521739,0.526316,0.470588,0.45,0.5,0.541667]
precision
0.822596 [1,0.557143,0.52439,0.527778,0.402597,0.333333,0.380952]
precision
0.811881 [1,0.487179,0.5,0.461538,0.452055,0.25,0.375]
precision
0.821194 [1,0.571429,0.56383,0.371429,0.376812,0.3125,0.518519]
precision
0.802853 [1,0.516667,0.482353,0.3125,0.35,0.285714,0.5]
precision
0.811351 [1,0.559322,0.535354,0.292683,0.352941,0.388889,0.368421]
precision
0.818446 [1,0.580645,0.544444,0.472222,0.402597,0.153846,0.384615]
precision
0.833655 [1,0.590164,0.527473,0.485714,0.5,0.444444,0.407407]
precision
0.818699 [1,0.529412,0.527473,0.4375,0.424658,0.357143,0.384615]
precision
0.82423 [1,0.614035,0.526882,0.487805,0.394366,0.25,0.461538]
precision
0.79681 [1,0.413793,0.431579,0.341463,0.43662,0.333333,0.458333]
precision
0.809285 [1,0.538462,0.461538,0.405405,0.351351,0.294118,0.6]
precision
0.829863 [1,0.62,0.578431,0.484848,0.394366,0.35,0.321429]
precision
0.809944 [1,0.544118,0.522727,0.35,0.392405,0.25,0.380952]
precision
0.817834 [1,0.52459,0.532609,0.487805,0.410959,0.3125,0.333333]
precision
0.817013 [1,0.557692,0.518519,0.407407,0.445946,0.227273,0.428571]
precision
0.813765 [1,0.574074,0.510204,0.355556,0.430556,0.214286,0.428571]
precision
0.814721 [1,0.590909,0.585106,0.392857,0.346154,0.055556,0.45]
precision
0.825762 [1,0.654545,0.520833,0.52381,0.416667,0.25,0.266667]
precision
0.81831 [1,0.534483,0.49505,0.375,0.388889,0.5,0.538462]
precision
0.824881 [1,0.59322,0.573034,0.484848,0.411765,0.142857,0.458333]
precision
0.812482 [1,0.513158,0.554217,0.242424,0.397436,0.4,0.458333]
precision
0.806757 [1,0.508475,0.466019,0.275,0.416667,0.357143,0.5625]
precision
0.8315 [1,0.610169,0.536842,0.5,0.446154,0.28,0.545455]
precision
0.805249 [1,0.548387,0.494624,0.405405,0.333333,0.133333,0.5]
precision
0.807366 [1,0.603448,0.516484,0.276596,0.38806,0.058824,0.5]
precision
0.823311 [1,0.58209,0.52,0.542857,0.353846,0.285714,0.521739]
precision
0.801882 [1,0.478873,0.5,0.4,0.418919,0.153846,0.3125]
precision
0.804366 [1,0.529412,0.536585,0.358974,0.319444,0.090909,0.52381]
precision
0.809757 [1,0.54717,0.527473,0.289474,0.341463,0.347826,0.470588]
precision
0.805725 [1,0.60274,0.5,0.295455,0.324675,0.230769,0.411765]
precision
0.805618 [1,0.610169,0.452381,0.375,0.333333,0.3,0.318182]
precision
0.811937 [1,0.574074,0.547368,0.297297,0.371429,0.294118,0.354839]
precision
0.810345 [1,0.545455,0.534884,0.387097,0.382716,0.1875,0.375]
precision
0.816126 [1,0.57971,0.548387,0.4375,0.405797,0.15,0.333333]
precision
0.816366 [1,0.530303,0.516854,0.391304,0.423529,0.368421,0.409091]
precision
0.82579 [1,0.590909,0.5875,0.378378,0.447368,0.230769,0.4375]
precision
0.809859 [1,0.53125,0.478723,0.4375,0.428571,0.214286,0.391304]
precision
0.82156 [1,0.603448,0.5625,0.340909,0.407407,0.181818,0.571429]
precision
0.789883 [1,0.47541,0.457447,0.292683,0.421875,0,0.4]
precision
0.819369 [1,0.607843,0.541667,0.428571,0.371795,0.214286,0.433333]
precision
0.824755 [1,0.605634,0.611765,0.28125,0.392405,0.333333,0.44]
precision
0.807515 [1,0.567164,0.530864,0.368421,0.369231,0.12,0.357143]
precision
0.817049 [1,0.513514,0.52439,0.289474,0.447368,0.461538,0.47619]
precision
0.824168 [1,0.629032,0.566265,0.348837,0.430556,0.291667,0.35]
precision
0.818172 [1,0.553846,0.511905,0.368421,0.492958,0.294118,0.37931]
precision
0.828086 [1,0.611111,0.542553,0.348837,0.443038,0.409091,0.5]
precision
0.81244 [1,0.544118,0.575,0.358974,0.381579,0.222222,0.304348]
precision
0.820997 [1,0.586667,0.602941,0.4,0.404762,0.117647,0.4]
precision
0.807692 [1,0.52459,0.48,0.416667,0.376812,0.214286,0.5]
precision
0.824627 [1,0.567164,0.52381,0.53125,0.428571,0.2,0.545455]
precision
0.823065 [1,0.587302,0.6,0.365854,0.366197,0.25,0.5]
precision
0.80346 [1,0.566667,0.489583,0.346939,0.295082,0.294118,0.380952]
precision
0.807693 [1,0.596491,0.524752,0.288889,0.323077,0.235294,0.421053]
precision
0.834599 [1,0.619048,0.586207,0.404762,0.422535,0.318182,0.631579]
predictive_accuracy
0.824859
predictive_accuracy
0.810169
predictive_accuracy
0.814689
predictive_accuracy
0.828249
predictive_accuracy
0.829379
predictive_accuracy
0.815819
predictive_accuracy
0.821469
predictive_accuracy
0.818079
predictive_accuracy
0.825989
predictive_accuracy
0.816949
predictive_accuracy
0.819209
predictive_accuracy
0.818079
predictive_accuracy
0.823729
predictive_accuracy
0.80452
predictive_accuracy
0.823729
predictive_accuracy
0.828249
predictive_accuracy
0.838418
predictive_accuracy
0.815819
predictive_accuracy
0.823729
predictive_accuracy
0.822599
predictive_accuracy
0.80791
predictive_accuracy
0.80678
predictive_accuracy
0.812429
predictive_accuracy
0.80904
predictive_accuracy
0.814689
predictive_accuracy
0.831638
predictive_accuracy
0.812429
predictive_accuracy
0.824859
predictive_accuracy
0.825989
predictive_accuracy
0.80791
predictive_accuracy
0.830508
predictive_accuracy
0.80791
predictive_accuracy
0.818079
predictive_accuracy
0.80452
predictive_accuracy
0.815819
predictive_accuracy
0.824859
predictive_accuracy
0.813559
predictive_accuracy
0.820339
predictive_accuracy
0.816949
predictive_accuracy
0.811299
predictive_accuracy
0.809955
predictive_accuracy
0.826923
predictive_accuracy
0.817873
predictive_accuracy
0.820136
predictive_accuracy
0.822398
predictive_accuracy
0.829186
predictive_accuracy
0.821267
predictive_accuracy
0.81448
predictive_accuracy
0.822398
predictive_accuracy
0.802036
predictive_accuracy
0.809955
predictive_accuracy
0.820136
predictive_accuracy
0.832579
predictive_accuracy
0.819005
predictive_accuracy
0.823529
predictive_accuracy
0.798643
predictive_accuracy
0.807692
predictive_accuracy
0.825792
predictive_accuracy
0.812217
predictive_accuracy
0.817873
predictive_accuracy
0.817873
predictive_accuracy
0.81448
predictive_accuracy
0.816742
predictive_accuracy
0.823529
predictive_accuracy
0.81448
predictive_accuracy
0.825792
predictive_accuracy
0.813348
predictive_accuracy
0.806561
predictive_accuracy
0.830317
predictive_accuracy
0.80543
predictive_accuracy
0.807692
predictive_accuracy
0.824661
predictive_accuracy
0.806561
predictive_accuracy
0.803167
predictive_accuracy
0.80543
predictive_accuracy
0.80543
predictive_accuracy
0.802036
predictive_accuracy
0.809955
predictive_accuracy
0.811086
predictive_accuracy
0.817873
predictive_accuracy
0.816742
predictive_accuracy
0.826923
predictive_accuracy
0.812217
predictive_accuracy
0.822398
predictive_accuracy
0.792986
predictive_accuracy
0.817873
predictive_accuracy
0.825792
predictive_accuracy
0.80543
predictive_accuracy
0.816742
predictive_accuracy
0.821267
predictive_accuracy
0.819005
predictive_accuracy
0.824661
predictive_accuracy
0.811086
predictive_accuracy
0.820136
predictive_accuracy
0.809955
predictive_accuracy
0.825792
predictive_accuracy
0.821267
predictive_accuracy
0.802036
predictive_accuracy
0.806561
predictive_accuracy
0.832579
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
prior_entropy
1.759357
recall
0.824859 [1,0.619718,0.555556,0.35,0.482143,0.185185,0.45]
recall
0.810169 [1,0.43662,0.533333,0.268293,0.589286,0.148148,0.473684]
recall
0.814689 [1,0.464789,0.488889,0.4,0.553571,0.148148,0.6]
recall
0.828249 [1,0.464789,0.626374,0.4,0.553571,0.185185,0.55]
recall
0.829379 [1,0.535211,0.5,0.5,0.589286,0.185185,0.6]
recall
0.815819 [1,0.521127,0.544444,0.35,0.517857,0.111111,0.45]
recall
0.821469 [1,0.478873,0.5,0.4,0.589286,0.185185,0.65]
recall
0.818079 [1,0.422535,0.6,0.4,0.553571,0.185185,0.35]
recall
0.825989 [1,0.507042,0.566667,0.5,0.660714,0.074074,0.2]
recall
0.816949 [1,0.507042,0.577778,0.35,0.5,0.111111,0.45]
recall
0.819209 [1,0.507042,0.533333,0.439024,0.5,0.148148,0.526316]
recall
0.818079 [1,0.507042,0.511111,0.439024,0.5,0.111111,0.631579]
recall
0.823729 [1,0.549296,0.566667,0.365854,0.571429,0.185185,0.315789]
recall
0.80452 [1,0.464789,0.488889,0.275,0.446429,0.185185,0.65]
recall
0.823729 [1,0.521127,0.588889,0.275,0.553571,0.185185,0.55]
recall
0.828249 [1,0.492958,0.6,0.4,0.607143,0.185185,0.4]
recall
0.838418 [1,0.591549,0.533333,0.325,0.642857,0.296296,0.7]
recall
0.815819 [1,0.507042,0.522222,0.325,0.5,0.185185,0.6]
recall
0.823729 [1,0.535211,0.533333,0.35,0.553571,0.074074,0.75]
recall
0.822599 [1,0.549296,0.511111,0.35,0.535714,0.148148,0.7]
recall
0.80791 [1,0.535211,0.488889,0.365854,0.5,0.037037,0.421053]
recall
0.80678 [1,0.507042,0.477778,0.292683,0.5,0.185185,0.473684]
recall
0.812429 [1,0.43662,0.466667,0.463415,0.517857,0.185185,0.631579]
recall
0.80904 [1,0.591549,0.466667,0.25,0.5,0.037037,0.6]
recall
0.814689 [1,0.478873,0.577778,0.275,0.553571,0.148148,0.4]
recall
0.831638 [1,0.56338,0.644444,0.325,0.535714,0.259259,0.35]
recall
0.812429 [1,0.492958,0.544444,0.325,0.571429,0.111111,0.3]
recall
0.824859 [1,0.549296,0.533333,0.35,0.589286,0.148148,0.55]
recall
0.825989 [1,0.521127,0.533333,0.4,0.535714,0.37037,0.45]
recall
0.80791 [1,0.422535,0.577778,0.325,0.482143,0.074074,0.5]
recall
0.830508 [1,0.577465,0.538462,0.317073,0.625,0.259259,0.526316]
recall
0.80791 [1,0.507042,0.461538,0.3,0.535714,0.259259,0.4]
recall
0.818079 [1,0.549296,0.571429,0.317073,0.517857,0.111111,0.421053]
recall
0.80452 [1,0.380282,0.533333,0.4,0.446429,0.148148,0.55]
recall
0.815819 [1,0.535211,0.538462,0.375,0.464286,0.259259,0.35]
recall
0.824859 [1,0.521127,0.538462,0.525,0.571429,0.185185,0.3]
recall
0.813559 [1,0.478873,0.505495,0.390244,0.553571,0.074074,0.578947]
recall
0.820339 [1,0.535211,0.488889,0.463415,0.660714,0.074074,0.3]
recall
0.816949 [1,0.619718,0.483516,0.35,0.428571,0.222222,0.55]
recall
0.811299 [1,0.450704,0.43956,0.425,0.571429,0.111111,0.7]
recall
0.809955 [1,0.492958,0.544444,0.5,0.285714,0.148148,0.6]
recall
0.826923 [1,0.549296,0.6,0.375,0.482143,0.259259,0.45]
recall
0.817873 [1,0.450704,0.533333,0.425,0.446429,0.259259,0.7]
recall
0.820136 [1,0.619718,0.555556,0.243902,0.482143,0.222222,0.421053]
recall
0.822398 [1,0.549296,0.5,0.365854,0.589286,0.111111,0.631579]
recall
0.829186 [1,0.507042,0.555556,0.390244,0.482143,0.407407,0.684211]
recall
0.821267 [1,0.549296,0.477778,0.463415,0.553571,0.222222,0.421053]
recall
0.81448 [1,0.535211,0.411111,0.439024,0.589286,0.074074,0.631579]
recall
0.822398 [1,0.507042,0.588889,0.317073,0.464286,0.185185,0.736842]
recall
0.802036 [1,0.43662,0.455556,0.365854,0.5,0.074074,0.631579]
recall
0.809955 [1,0.464789,0.588889,0.3,0.428571,0.259259,0.35]
recall
0.820136 [1,0.507042,0.544444,0.425,0.553571,0.074074,0.5]
recall
0.832579 [1,0.507042,0.533333,0.425,0.642857,0.296296,0.55]
recall
0.819005 [1,0.507042,0.533333,0.341463,0.553571,0.185185,0.526316]
recall
0.823529 [1,0.492958,0.544444,0.487805,0.5,0.148148,0.631579]
recall
0.798643 [1,0.338028,0.455556,0.341463,0.553571,0.185185,0.578947]
recall
0.807692 [1,0.394366,0.533333,0.365854,0.464286,0.185185,0.631579]
recall
0.825792 [1,0.43662,0.655556,0.390244,0.5,0.259259,0.473684]
recall
0.812217 [1,0.521127,0.511111,0.341463,0.553571,0.074074,0.421053]
recall
0.817873 [1,0.450704,0.544444,0.487805,0.535714,0.185185,0.368421]
recall
0.817873 [1,0.408451,0.622222,0.275,0.589286,0.185185,0.45]
recall
0.81448 [1,0.43662,0.555556,0.4,0.553571,0.111111,0.45]
recall
0.816742 [1,0.549296,0.611111,0.275,0.482143,0.037037,0.45]
recall
0.823529 [1,0.507042,0.555556,0.536585,0.535714,0.222222,0.210526]
recall
0.81448 [1,0.43662,0.555556,0.292683,0.625,0.185185,0.368421]
recall
0.825792 [1,0.492958,0.566667,0.390244,0.625,0.074074,0.578947]
recall
0.813348 [1,0.549296,0.511111,0.2,0.553571,0.148148,0.55]
recall
0.806561 [1,0.422535,0.527473,0.275,0.535714,0.185185,0.473684]
recall
0.830317 [1,0.507042,0.566667,0.463415,0.517857,0.259259,0.631579]
recall
0.80543 [1,0.478873,0.511111,0.365854,0.482143,0.074074,0.421053]
recall
0.807692 [1,0.492958,0.522222,0.325,0.464286,0.037037,0.6]
recall
0.824661 [1,0.549296,0.577778,0.475,0.410714,0.148148,0.6]
recall
0.806561 [1,0.478873,0.5,0.4,0.553571,0.074074,0.25]
recall
0.803167 [1,0.507042,0.488889,0.35,0.410714,0.074074,0.55]
recall
0.80543 [1,0.408451,0.533333,0.275,0.5,0.296296,0.4]
recall
0.80543 [1,0.619718,0.444444,0.325,0.446429,0.111111,0.35]
recall
0.802036 [1,0.507042,0.422222,0.45,0.482143,0.111111,0.35]
recall
0.809955 [1,0.43662,0.577778,0.275,0.464286,0.185185,0.55]
recall
0.811086 [1,0.507042,0.511111,0.3,0.553571,0.111111,0.45]
recall
0.817873 [1,0.56338,0.566667,0.35,0.5,0.111111,0.35]
recall
0.816742 [1,0.492958,0.511111,0.225,0.642857,0.259259,0.45]
recall
0.826923 [1,0.549296,0.522222,0.35,0.607143,0.111111,0.7]
recall
0.812217 [1,0.478873,0.5,0.35,0.589286,0.111111,0.45]
recall
0.822398 [1,0.492958,0.6,0.375,0.589286,0.074074,0.4]
recall
0.792986 [1,0.408451,0.477778,0.3,0.482143,0,0.5]
recall
0.817873 [1,0.43662,0.577778,0.375,0.517857,0.111111,0.65]
recall
0.825792 [1,0.605634,0.577778,0.225,0.553571,0.148148,0.55]
recall
0.80543 [1,0.535211,0.477778,0.35,0.428571,0.111111,0.5]
recall
0.816742 [1,0.535211,0.477778,0.275,0.607143,0.222222,0.5]
recall
0.821267 [1,0.549296,0.522222,0.375,0.553571,0.259259,0.35]
recall
0.819005 [1,0.507042,0.477778,0.35,0.625,0.185185,0.55]
recall
0.824661 [1,0.464789,0.566667,0.375,0.625,0.333333,0.3]
recall
0.811086 [1,0.521127,0.511111,0.35,0.517857,0.148148,0.35]
recall
0.820136 [1,0.619718,0.455556,0.45,0.607143,0.074074,0.3]
recall
0.809955 [1,0.450704,0.533333,0.375,0.464286,0.111111,0.6]
recall
0.825792 [1,0.535211,0.488889,0.425,0.642857,0.111111,0.6]
recall
0.821267 [1,0.521127,0.566667,0.375,0.464286,0.185185,0.6]
recall
0.802036 [1,0.478873,0.522222,0.425,0.321429,0.185185,0.4]
recall
0.806561 [1,0.478873,0.588889,0.325,0.375,0.148148,0.4]
recall
0.832579 [1,0.549296,0.566667,0.425,0.535714,0.259259,0.6]
relative_absolute_error
0.373116
relative_absolute_error
0.388751
relative_absolute_error
0.388175
relative_absolute_error
0.377899
relative_absolute_error
0.376119
relative_absolute_error
0.390706
relative_absolute_error
0.374688
relative_absolute_error
0.383795
relative_absolute_error
0.374774
relative_absolute_error
0.384711
relative_absolute_error
0.380174
relative_absolute_error
0.391057
relative_absolute_error
0.388112
relative_absolute_error
0.399229
relative_absolute_error
0.380928
relative_absolute_error
0.373882
relative_absolute_error
0.368668
relative_absolute_error
0.378221
relative_absolute_error
0.379338
relative_absolute_error
0.379496
relative_absolute_error
0.392523
relative_absolute_error
0.384681
relative_absolute_error
0.390164
relative_absolute_error
0.390061
relative_absolute_error
0.382626
relative_absolute_error
0.365084
relative_absolute_error
0.391992
relative_absolute_error
0.379714
relative_absolute_error
0.377633
relative_absolute_error
0.401303
relative_absolute_error
0.373433
relative_absolute_error
0.394391
relative_absolute_error
0.378655
relative_absolute_error
0.384983
relative_absolute_error
0.382616
relative_absolute_error
0.386614
relative_absolute_error
0.380586
relative_absolute_error
0.383905
relative_absolute_error
0.387185
relative_absolute_error
0.391007
relative_absolute_error
0.391018
relative_absolute_error
0.375137
relative_absolute_error
0.382447
relative_absolute_error
0.380494
relative_absolute_error
0.375853
relative_absolute_error
0.38454
relative_absolute_error
0.38742
relative_absolute_error
0.394377
relative_absolute_error
0.378771
relative_absolute_error
0.386501
relative_absolute_error
0.389194
relative_absolute_error
0.384128
relative_absolute_error
0.375549
relative_absolute_error
0.388472
relative_absolute_error
0.384044
relative_absolute_error
0.395582
relative_absolute_error
0.395277
relative_absolute_error
0.37384
relative_absolute_error
0.393081
relative_absolute_error
0.387072
relative_absolute_error
0.383726
relative_absolute_error
0.387327
relative_absolute_error
0.382185
relative_absolute_error
0.38016
relative_absolute_error
0.387439
relative_absolute_error
0.375428
relative_absolute_error
0.379362
relative_absolute_error
0.391872
relative_absolute_error
0.372934
relative_absolute_error
0.393753
relative_absolute_error
0.391767
relative_absolute_error
0.380722
relative_absolute_error
0.389967
relative_absolute_error
0.393367
relative_absolute_error
0.39179
relative_absolute_error
0.391074
relative_absolute_error
0.391453
relative_absolute_error
0.382738
relative_absolute_error
0.385562
relative_absolute_error
0.384919
relative_absolute_error
0.387071
relative_absolute_error
0.371253
relative_absolute_error
0.378781
relative_absolute_error
0.373403
relative_absolute_error
0.396137
relative_absolute_error
0.382517
relative_absolute_error
0.377452
relative_absolute_error
0.396626
relative_absolute_error
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usercpu_time_millis
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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