420689
2
Joaquin Vanschoren
4549
Supervised Classification
predictive_accuracy
1192
weka.MultiBoostAB_DecisionStump(3)
2049
weka.classifiers.meta.MultiBoostAB -- -C 3 -P 100 -S 1 -I 80 -W weka.classifiers.trees.DecisionStump
C
3
1192
P
100
1192
S
1
1192
I
80
1192
W
weka.classifiers.trees.DecisionStump
1192
weka
weka_3.7.12
981
kdd_internet_usage
https://www.openml.org/data/download/53515/kdd_internet_usage.arff
-1
1470063
description
https://api.openml.org/data/download/1470063/weka_generated_run8019546137789812326.xml
-1
1470066
model_readable
https://api.openml.org/data/download/1470066/WekaModel_weka.classifiers.meta.MultiBoostAB2275487171327496142.model
-1
1470065
model_serialized
https://api.openml.org/data/download/1470065/WekaSerialized_weka.classifiers.meta.MultiBoostAB8387663952068291725.model
-1
1470064
predictions
https://api.openml.org/data/download/1470064/weka_generated_predictions819451559475999884.arff
area_under_roc_curve
0.939849 [0.939849,0.939849]
average_cost
0
f_measure
0.886405 [0.922609,0.787822]
kappa
0.710433
kb_relative_information_score
67073.126713
mean_absolute_error
0.12295
mean_prior_absolute_error
0.392928
number_of_instances
101080 [73930,27150]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.88624 [0.92093,0.791778]
predictive_accuracy
0.886585
prior_entropy
0.839513
recall
0.886585 [0.924293,0.783904]
relative_absolute_error
0.312906
root_mean_prior_squared_error
0.443231
root_mean_squared_error
0.31197
root_relative_squared_error
0.703855
scimark_benchmark
941.954922 [559.2307353210181, 1014.1868590421574, 482.14720472367435, 907.7008274280431, 1746.5089819330503]
total_cost
0
usercpu_time_millis
3160
usercpu_time_millis_testing
40
usercpu_time_millis_training
3120
area_under_roc_curve
0.938521 [0.938521,0.938521]
area_under_roc_curve
0.945171 [0.945171,0.945171]
area_under_roc_curve
0.94082 [0.94082,0.94082]
area_under_roc_curve
0.948282 [0.948282,0.948282]
area_under_roc_curve
0.943136 [0.943136,0.943136]
area_under_roc_curve
0.936085 [0.936085,0.936085]
area_under_roc_curve
0.944004 [0.944004,0.944004]
area_under_roc_curve
0.940503 [0.940503,0.940503]
area_under_roc_curve
0.934123 [0.934123,0.934123]
area_under_roc_curve
0.93164 [0.93164,0.93164]
area_under_roc_curve
0.947227 [0.947227,0.947227]
area_under_roc_curve
0.932505 [0.932505,0.932505]
area_under_roc_curve
0.934828 [0.934828,0.934828]
area_under_roc_curve
0.948529 [0.948529,0.948529]
area_under_roc_curve
0.926543 [0.926543,0.926543]
area_under_roc_curve
0.9464 [0.9464,0.9464]
area_under_roc_curve
0.937309 [0.937309,0.937309]
area_under_roc_curve
0.942899 [0.942899,0.942899]
area_under_roc_curve
0.93442 [0.93442,0.93442]
area_under_roc_curve
0.944039 [0.944039,0.944039]
area_under_roc_curve
0.944617 [0.944617,0.944617]
area_under_roc_curve
0.949342 [0.949342,0.949342]
area_under_roc_curve
0.934978 [0.934978,0.934978]
area_under_roc_curve
0.943712 [0.943712,0.943712]
area_under_roc_curve
0.952698 [0.952698,0.952698]
area_under_roc_curve
0.950681 [0.950681,0.950681]
area_under_roc_curve
0.936075 [0.936075,0.936075]
area_under_roc_curve
0.936823 [0.936823,0.936823]
area_under_roc_curve
0.937723 [0.937723,0.937723]
area_under_roc_curve
0.926803 [0.926803,0.926803]
area_under_roc_curve
0.938928 [0.938928,0.938928]
area_under_roc_curve
0.935891 [0.935891,0.935891]
area_under_roc_curve
0.934896 [0.934896,0.934896]
area_under_roc_curve
0.934532 [0.934532,0.934532]
area_under_roc_curve
0.930179 [0.930179,0.930179]
area_under_roc_curve
0.946323 [0.946323,0.946323]
area_under_roc_curve
0.92155 [0.92155,0.92155]
area_under_roc_curve
0.940458 [0.940458,0.940458]
area_under_roc_curve
0.931057 [0.931057,0.931057]
area_under_roc_curve
0.949079 [0.949079,0.949079]
area_under_roc_curve
0.937764 [0.937764,0.937764]
area_under_roc_curve
0.949853 [0.949853,0.949853]
area_under_roc_curve
0.944935 [0.944935,0.944935]
area_under_roc_curve
0.938512 [0.938512,0.938512]
area_under_roc_curve
0.935746 [0.935746,0.935746]
area_under_roc_curve
0.940211 [0.940211,0.940211]
area_under_roc_curve
0.941475 [0.941475,0.941475]
area_under_roc_curve
0.944821 [0.944821,0.944821]
area_under_roc_curve
0.935411 [0.935411,0.935411]
area_under_roc_curve
0.934037 [0.934037,0.934037]
area_under_roc_curve
0.938624 [0.938624,0.938624]
area_under_roc_curve
0.935159 [0.935159,0.935159]
area_under_roc_curve
0.939206 [0.939206,0.939206]
area_under_roc_curve
0.937157 [0.937157,0.937157]
area_under_roc_curve
0.938448 [0.938448,0.938448]
area_under_roc_curve
0.935164 [0.935164,0.935164]
area_under_roc_curve
0.944823 [0.944823,0.944823]
area_under_roc_curve
0.937391 [0.937391,0.937391]
area_under_roc_curve
0.956616 [0.956616,0.956616]
area_under_roc_curve
0.956457 [0.956457,0.956457]
area_under_roc_curve
0.938948 [0.938948,0.938948]
area_under_roc_curve
0.93642 [0.93642,0.93642]
area_under_roc_curve
0.944358 [0.944358,0.944358]
area_under_roc_curve
0.939276 [0.939276,0.939276]
area_under_roc_curve
0.943415 [0.943415,0.943415]
area_under_roc_curve
0.945654 [0.945654,0.945654]
area_under_roc_curve
0.951559 [0.951559,0.951559]
area_under_roc_curve
0.929095 [0.929095,0.929095]
area_under_roc_curve
0.950716 [0.950716,0.950716]
area_under_roc_curve
0.944189 [0.944189,0.944189]
area_under_roc_curve
0.93446 [0.93446,0.93446]
area_under_roc_curve
0.938761 [0.938761,0.938761]
area_under_roc_curve
0.946281 [0.946281,0.946281]
area_under_roc_curve
0.935259 [0.935259,0.935259]
area_under_roc_curve
0.94048 [0.94048,0.94048]
area_under_roc_curve
0.939142 [0.939142,0.939142]
area_under_roc_curve
0.936067 [0.936067,0.936067]
area_under_roc_curve
0.952243 [0.952243,0.952243]
area_under_roc_curve
0.925093 [0.925093,0.925093]
area_under_roc_curve
0.942166 [0.942166,0.942166]
area_under_roc_curve
0.945785 [0.945785,0.945785]
area_under_roc_curve
0.936648 [0.936648,0.936648]
area_under_roc_curve
0.925375 [0.925375,0.925375]
area_under_roc_curve
0.941596 [0.941596,0.941596]
area_under_roc_curve
0.946744 [0.946744,0.946744]
area_under_roc_curve
0.931979 [0.931979,0.931979]
area_under_roc_curve
0.946649 [0.946649,0.946649]
area_under_roc_curve
0.947286 [0.947286,0.947286]
area_under_roc_curve
0.947556 [0.947556,0.947556]
area_under_roc_curve
0.928953 [0.928953,0.928953]
area_under_roc_curve
0.94064 [0.94064,0.94064]
area_under_roc_curve
0.941294 [0.941294,0.941294]
area_under_roc_curve
0.95166 [0.95166,0.95166]
area_under_roc_curve
0.930638 [0.930638,0.930638]
area_under_roc_curve
0.942722 [0.942722,0.942722]
area_under_roc_curve
0.927877 [0.927877,0.927877]
area_under_roc_curve
0.939993 [0.939993,0.939993]
area_under_roc_curve
0.931068 [0.931068,0.931068]
area_under_roc_curve
0.940365 [0.940365,0.940365]
area_under_roc_curve
0.948337 [0.948337,0.948337]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.876477 [0.913934,0.774194]
f_measure
0.890398 [0.924848,0.79633]
f_measure
0.8896 [0.924016,0.79562]
f_measure
0.901904 [0.933243,0.816327]
f_measure
0.88605 [0.922454,0.786642]
f_measure
0.891995 [0.9265,0.797774]
f_measure
0.891197 [0.925676,0.797048]
f_measure
0.877205 [0.916329,0.77037]
f_measure
0.883981 [0.922563,0.778626]
f_measure
0.877829 [0.917283,0.770093]
f_measure
0.901088 [0.932432,0.815498]
f_measure
0.874733 [0.916722,0.760077]
f_measure
0.878598 [0.918121,0.770677]
f_measure
0.896558 [0.928717,0.808743]
f_measure
0.871062 [0.913828,0.754286]
f_measure
0.896441 [0.928814,0.808044]
f_measure
0.879606 [0.917344,0.776557]
f_measure
0.892617 [0.926001,0.801457]
f_measure
0.879093 [0.91627,0.777577]
f_measure
0.885127 [0.921727,0.785185]
f_measure
0.889476 [0.925553,0.79096]
f_measure
0.901667 [0.933423,0.814953]
f_measure
0.882363 [0.91954,0.780847]
f_measure
0.886274 [0.923695,0.784091]
f_measure
0.89465 [0.928763,0.801498]
f_measure
0.89503 [0.928475,0.803704]
f_measure
0.89701 [0.929825,0.807407]
f_measure
0.88434 [0.920892,0.78453]
f_measure
0.884852 [0.921938,0.783582]
f_measure
0.877527 [0.917505,0.768362]
f_measure
0.885915 [0.922454,0.786642]
f_measure
0.890777 [0.927285,0.791587]
f_measure
0.878956 [0.91627,0.777577]
f_measure
0.880247 [0.918188,0.777164]
f_measure
0.876913 [0.916442,0.769517]
f_measure
0.883791 [0.921212,0.782123]
f_measure
0.870197 [0.911546,0.757856]
f_measure
0.890544 [0.926075,0.794007]
f_measure
0.865002 [0.908356,0.747212]
f_measure
0.895394 [0.928087,0.806569]
f_measure
0.888415 [0.924832,0.789474]
f_measure
0.891926 [0.924966,0.802158]
f_measure
0.889473 [0.924016,0.79562]
f_measure
0.889884 [0.925152,0.794063]
f_measure
0.882727 [0.920592,0.779851]
f_measure
0.888294 [0.923494,0.792661]
f_measure
0.879963 [0.918409,0.77551]
f_measure
0.885395 [0.921409,0.787546]
f_measure
0.883147 [0.92027,0.782288]
f_measure
0.888275 [0.924933,0.788679]
f_measure
0.889342 [0.925553,0.79096]
f_measure
0.872329 [0.912779,0.762431]
f_measure
0.882101 [0.918145,0.784173]
f_measure
0.887109 [0.922973,0.789668]
f_measure
0.879327 [0.917456,0.775735]
f_measure
0.885525 [0.921303,0.788321]
f_measure
0.882363 [0.919431,0.781651]
f_measure
0.881523 [0.921438,0.773077]
f_measure
0.900616 [0.932705,0.813433]
f_measure
0.911183 [0.938942,0.835766]
f_measure
0.883791 [0.921212,0.782123]
f_measure
0.885395 [0.921409,0.787546]
f_measure
0.891996 [0.926401,0.798521]
f_measure
0.888164 [0.923597,0.791897]
f_measure
0.894653 [0.928668,0.802239]
f_measure
0.901088 [0.932341,0.816176]
f_measure
0.905154 [0.934959,0.824176]
f_measure
0.871716 [0.913248,0.758879]
f_measure
0.893978 [0.927752,0.802218]
f_measure
0.887062 [0.924415,0.785579]
f_measure
0.885395 [0.921409,0.787546]
f_measure
0.883284 [0.920162,0.783088]
f_measure
0.894922 [0.92986,0.8]
f_measure
0.874928 [0.915094,0.765799]
f_measure
0.885778 [0.922559,0.785847]
f_measure
0.886702 [0.923284,0.787313]
f_measure
0.883214 [0.921634,0.778828]
f_measure
0.903611 [0.933243,0.823105]
f_measure
0.865635 [0.907859,0.750916]
f_measure
0.888275 [0.924933,0.788679]
f_measure
0.887767 [0.922343,0.793478]
f_measure
0.884226 [0.920785,0.78453]
f_measure
0.872015 [0.911444,0.764493]
f_measure
0.894674 [0.928571,0.802239]
f_measure
0.888933 [0.922867,0.796396]
f_measure
0.871585 [0.913248,0.757974]
f_measure
0.890946 [0.92709,0.792381]
f_measure
0.897943 [0.928865,0.81362]
f_measure
0.898197 [0.930169,0.811009]
f_measure
0.863836 [0.90625,0.748175]
f_measure
0.888159 [0.924933,0.787879]
f_measure
0.889109 [0.924222,0.793358]
f_measure
0.89796 [0.930358,0.809612]
f_measure
0.870373 [0.911307,0.758748]
f_measure
0.891463 [0.925272,0.79927]
f_measure
0.872202 [0.912779,0.761553]
f_measure
0.885282 [0.921409,0.786765]
f_measure
0.876617 [0.917945,0.763916]
f_measure
0.894121 [0.927556,0.802947]
f_measure
0.896906 [0.92823,0.81149]
kappa
0.688226
kappa
0.721181
kappa
0.719649
kappa
0.749573
kappa
0.7091
kappa
0.724277
kappa
0.722724
kappa
0.686701
kappa
0.701313
kappa
0.687396
kappa
0.747931
kappa
0.676981
kappa
0.688837
kappa
0.737476
kappa
0.668235
kappa
0.736866
kappa
0.693907
kappa
0.727475
kappa
0.693892
kappa
0.706914
kappa
0.716557
kappa
0.748392
kappa
0.700388
kappa
0.707858
kappa
0.730283
kappa
0.73218
kappa
0.737233
kappa
0.705423
kappa
0.705533
kappa
0.685915
kappa
0.709106
kappa
0.71903
kappa
0.693877
kappa
0.695352
kappa
0.685973
kappa
0.703353
kappa
0.669406
kappa
0.720118
kappa
0.655583
kappa
0.734661
kappa
0.714358
kappa
0.727172
kappa
0.719642
kappa
0.719224
kappa
0.700467
kappa
0.716154
kappa
0.693928
kappa
0.708956
kappa
0.70256
kappa
0.713683
kappa
0.716574
kappa
0.67521
kappa
0.70237
kappa
0.712642
kappa
0.693191
kappa
0.709629
kappa
0.701083
kappa
0.69474
kappa
0.746158
kappa
0.774713
kappa
0.703353
kappa
0.708956
kappa
0.724925
kappa
0.715494
kappa
0.730928
kappa
0.748517
kappa
0.759136
kappa
0.67216
kappa
0.729973
kappa
0.7101
kappa
0.708956
kappa
0.703251
kappa
0.729984
kappa
0.680908
kappa
0.708424
kappa
0.710621
kappa
0.700548
kappa
0.756377
kappa
0.658777
kappa
0.713683
kappa
0.715857
kappa
0.705316
kappa
0.675977
kappa
0.730822
kappa
0.719322
kappa
0.671255
kappa
0.719575
kappa
0.742565
kappa
0.741182
kappa
0.654441
kappa
0.712883
kappa
0.71758
kappa
0.739971
kappa
0.670055
kappa
0.724554
kappa
0.674332
kappa
0.708175
kappa
0.68204
kappa
0.730503
kappa
0.739792
kb_relative_information_score
654.892481
kb_relative_information_score
680.334069
kb_relative_information_score
678.382623
kb_relative_information_score
707.677157
kb_relative_information_score
673.815603
kb_relative_information_score
674.47248
kb_relative_information_score
683.690084
kb_relative_information_score
655.84175
kb_relative_information_score
671.423013
kb_relative_information_score
646.175424
kb_relative_information_score
701.042719
kb_relative_information_score
642.028173
kb_relative_information_score
650.379734
kb_relative_information_score
692.259807
kb_relative_information_score
631.83819
kb_relative_information_score
697.682021
kb_relative_information_score
643.709271
kb_relative_information_score
686.258604
kb_relative_information_score
648.141901
kb_relative_information_score
671.555951
kb_relative_information_score
692.106592
kb_relative_information_score
703.65558
kb_relative_information_score
661.907542
kb_relative_information_score
678.384412
kb_relative_information_score
693.892925
kb_relative_information_score
698.865587
kb_relative_information_score
682.229209
kb_relative_information_score
664.093607
kb_relative_information_score
662.986132
kb_relative_information_score
650.199992
kb_relative_information_score
668.636648
kb_relative_information_score
688.45814
kb_relative_information_score
648.262914
kb_relative_information_score
655.241991
kb_relative_information_score
641.714425
kb_relative_information_score
668.376449
kb_relative_information_score
629.939932
kb_relative_information_score
678.855384
kb_relative_information_score
619.04313
kb_relative_information_score
701.909644
kb_relative_information_score
675.017556
kb_relative_information_score
686.31929
kb_relative_information_score
674.346149
kb_relative_information_score
660.964667
kb_relative_information_score
663.505696
kb_relative_information_score
674.554257
kb_relative_information_score
659.84324
kb_relative_information_score
674.53213
kb_relative_information_score
656.863582
kb_relative_information_score
669.702884
kb_relative_information_score
680.185137
kb_relative_information_score
642.786499
kb_relative_information_score
663.700748
kb_relative_information_score
665.244989
kb_relative_information_score
652.423947
kb_relative_information_score
655.805805
kb_relative_information_score
658.057422
kb_relative_information_score
664.959483
kb_relative_information_score
716.888363
kb_relative_information_score
733.091175
kb_relative_information_score
658.797109
kb_relative_information_score
666.581147
kb_relative_information_score
683.947897
kb_relative_information_score
675.41363
kb_relative_information_score
691.684084
kb_relative_information_score
700.127457
kb_relative_information_score
715.991908
kb_relative_information_score
634.957937
kb_relative_information_score
700.768339
kb_relative_information_score
683.96918
kb_relative_information_score
667.288056
kb_relative_information_score
661.095029
kb_relative_information_score
695.065115
kb_relative_information_score
639.551087
kb_relative_information_score
674.229882
kb_relative_information_score
671.33734
kb_relative_information_score
673.97292
kb_relative_information_score
711.64672
kb_relative_information_score
624.350508
kb_relative_information_score
670.600998
kb_relative_information_score
672.561576
kb_relative_information_score
656.273004
kb_relative_information_score
628.988954
kb_relative_information_score
691.282371
kb_relative_information_score
683.638031
kb_relative_information_score
641.758865
kb_relative_information_score
690.855264
kb_relative_information_score
693.508153
kb_relative_information_score
703.558798
kb_relative_information_score
617.230238
kb_relative_information_score
663.239444
kb_relative_information_score
672.490843
kb_relative_information_score
706.277127
kb_relative_information_score
622.984029
kb_relative_information_score
689.018228
kb_relative_information_score
632.18354
kb_relative_information_score
669.232452
kb_relative_information_score
645.132237
kb_relative_information_score
695.224031
kb_relative_information_score
687.158877
mean_absolute_error
0.127801
mean_absolute_error
0.119069
mean_absolute_error
0.120517
mean_absolute_error
0.109525
mean_absolute_error
0.121662
mean_absolute_error
0.121363
mean_absolute_error
0.118663
mean_absolute_error
0.127451
mean_absolute_error
0.121513
mean_absolute_error
0.131528
mean_absolute_error
0.112231
mean_absolute_error
0.132229
mean_absolute_error
0.129944
mean_absolute_error
0.115347
mean_absolute_error
0.135895
mean_absolute_error
0.112745
mean_absolute_error
0.132645
mean_absolute_error
0.116516
mean_absolute_error
0.130835
mean_absolute_error
0.121795
mean_absolute_error
0.116087
mean_absolute_error
0.111655
mean_absolute_error
0.126285
mean_absolute_error
0.119676
mean_absolute_error
0.114241
mean_absolute_error
0.112255
mean_absolute_error
0.118505
mean_absolute_error
0.124323
mean_absolute_error
0.125311
mean_absolute_error
0.12954
mean_absolute_error
0.124799
mean_absolute_error
0.11747
mean_absolute_error
0.130804
mean_absolute_error
0.128201
mean_absolute_error
0.133853
mean_absolute_error
0.124092
mean_absolute_error
0.137801
mean_absolute_error
0.119757
mean_absolute_error
0.14072
mean_absolute_error
0.112806
mean_absolute_error
0.123547
mean_absolute_error
0.116977
mean_absolute_error
0.12198
mean_absolute_error
0.127071
mean_absolute_error
0.125745
mean_absolute_error
0.122303
mean_absolute_error
0.12663
mean_absolute_error
0.121426
mean_absolute_error
0.128567
mean_absolute_error
0.125007
mean_absolute_error
0.119936
mean_absolute_error
0.13247
mean_absolute_error
0.125197
mean_absolute_error
0.125531
mean_absolute_error
0.129275
mean_absolute_error
0.129182
mean_absolute_error
0.127658
mean_absolute_error
0.124797
mean_absolute_error
0.107378
mean_absolute_error
0.100581
mean_absolute_error
0.127359
mean_absolute_error
0.125085
mean_absolute_error
0.118375
mean_absolute_error
0.122266
mean_absolute_error
0.115523
mean_absolute_error
0.114398
mean_absolute_error
0.109043
mean_absolute_error
0.136107
mean_absolute_error
0.112141
mean_absolute_error
0.117692
mean_absolute_error
0.124672
mean_absolute_error
0.126792
mean_absolute_error
0.115174
mean_absolute_error
0.133285
mean_absolute_error
0.122583
mean_absolute_error
0.123685
mean_absolute_error
0.121731
mean_absolute_error
0.109388
mean_absolute_error
0.139097
mean_absolute_error
0.123575
mean_absolute_error
0.12133
mean_absolute_error
0.127722
mean_absolute_error
0.137144
mean_absolute_error
0.115867
mean_absolute_error
0.116879
mean_absolute_error
0.132116
mean_absolute_error
0.115476
mean_absolute_error
0.114168
mean_absolute_error
0.111492
mean_absolute_error
0.140467
mean_absolute_error
0.125783
mean_absolute_error
0.12229
mean_absolute_error
0.110188
mean_absolute_error
0.138537
mean_absolute_error
0.116543
mean_absolute_error
0.135791
mean_absolute_error
0.122605
mean_absolute_error
0.131091
mean_absolute_error
0.115086
mean_absolute_error
0.117727
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
precision
0.878084 [0.924033,0.752613]
precision
0.890608 [0.92673,0.791971]
precision
0.890054 [0.927793,0.787004]
precision
0.901749 [0.931359,0.820896]
precision
0.885867 [0.920592,0.791045]
precision
0.891823 [0.92463,0.802239]
precision
0.891197 [0.925676,0.797048]
precision
0.877069 [0.915094,0.773234]
precision
0.883388 [0.911609,0.806324]
precision
0.87742 [0.912985,0.780303]
precision
0.901088 [0.932432,0.815498]
precision
0.874032 [0.904074,0.792]
precision
0.878076 [0.912,0.785441]
precision
0.897074 [0.933151,0.798561]
precision
0.870318 [0.903567,0.779528]
precision
0.896792 [0.931973,0.800725]
precision
0.879917 [0.919837,0.770909]
precision
0.893149 [0.930423,0.791367]
precision
0.880088 [0.923182,0.762411]
precision
0.885 [0.920485,0.788104]
precision
0.888999 [0.918775,0.807692]
precision
0.901362 [0.92905,0.825758]
precision
0.882434 [0.920162,0.779412]
precision
0.885722 [0.915119,0.805447]
precision
0.894282 [0.923797,0.813688]
precision
0.894915 [0.927224,0.806691]
precision
0.896898 [0.928571,0.810409]
precision
0.88441 [0.921516,0.783088]
precision
0.884516 [0.918231,0.792453]
precision
0.876966 [0.910786,0.784615]
precision
0.885631 [0.919355,0.794007]
precision
0.890321 [0.914474,0.824701]
precision
0.879734 [0.921918,0.765125]
precision
0.880179 [0.917568,0.778598]
precision
0.876551 [0.912752,0.778195]
precision
0.883411 [0.91689,0.792453]
precision
0.869987 [0.909704,0.762082]
precision
0.890102 [0.919893,0.80916]
precision
0.864595 [0.904698,0.755639]
precision
0.895667 [0.930612,0.800725]
precision
0.887916 [0.917443,0.807692]
precision
0.892946 [0.9326,0.785211]
precision
0.889759 [0.926531,0.789855]
precision
0.889612 [0.922043,0.801498]
precision
0.882303 [0.915663,0.791667]
precision
0.888361 [0.924119,0.791209]
precision
0.879661 [0.915323,0.782772]
precision
0.885535 [0.922659,0.784672]
precision
0.883019 [0.919028,0.785185]
precision
0.887747 [0.916335,0.810078]
precision
0.888835 [0.917553,0.810811]
precision
0.872257 [0.912162,0.763838]
precision
0.883182 [0.925722,0.767606]
precision
0.886985 [0.921727,0.792593]
precision
0.879327 [0.917456,0.775735]
precision
0.885821 [0.92381,0.782609]
precision
0.882433 [0.920054,0.78022]
precision
0.880994 [0.906946,0.810484]
precision
0.900281 [0.927711,0.825758]
precision
0.911422 [0.941497,0.82971]
precision
0.883411 [0.91689,0.792453]
precision
0.885535 [0.922659,0.784672]
precision
0.891825 [0.924528,0.802974]
precision
0.888101 [0.922973,0.793358]
precision
0.894288 [0.923695,0.814394]
precision
0.901088 [0.932341,0.816176]
precision
0.905272 [0.936228,0.821168]
precision
0.871194 [0.907754,0.771863]
precision
0.893811 [0.925876,0.806691]
precision
0.88651 [0.914021,0.811765]
precision
0.885535 [0.922659,0.784672]
precision
0.883284 [0.920162,0.783088]
precision
0.894486 [0.918206,0.83004]
precision
0.874558 [0.911409,0.774436]
precision
0.885406 [0.918231,0.796226]
precision
0.886298 [0.91834,0.799242]
precision
0.882627 [0.912467,0.801556]
precision
0.904363 [0.939643,0.808511]
precision
0.865798 [0.909091,0.748175]
precision
0.887747 [0.916335,0.810078]
precision
0.888607 [0.928669,0.779359]
precision
0.884295 [0.921409,0.783088]
precision
0.872939 [0.917695,0.75089]
precision
0.894375 [0.924832,0.811321]
precision
0.890088 [0.931129,0.778169]
precision
0.871059 [0.907754,0.770992]
precision
0.890434 [0.916667,0.818898]
precision
0.899377 [0.939142,0.790941]
precision
0.898393 [0.932065,0.806569]
precision
0.864376 [0.909959,0.740072]
precision
0.887626 [0.916335,0.809339]
precision
0.889109 [0.924222,0.793358]
precision
0.897902 [0.92973,0.811111]
precision
0.87045 [0.911924,0.757353]
precision
0.891912 [0.929059,0.790614]
precision
0.87213 [0.912162,0.762963]
precision
0.885423 [0.922659,0.783883]
precision
0.875946 [0.905263,0.796]
precision
0.894185 [0.928184,0.801471]
precision
0.898232 [0.937845,0.79021]
predictive_accuracy
0.875371
predictive_accuracy
0.890208
predictive_accuracy
0.889219
predictive_accuracy
0.902077
predictive_accuracy
0.886251
predictive_accuracy
0.892186
predictive_accuracy
0.891197
predictive_accuracy
0.877349
predictive_accuracy
0.885262
predictive_accuracy
0.878338
predictive_accuracy
0.901088
predictive_accuracy
0.87636
predictive_accuracy
0.879327
predictive_accuracy
0.896142
predictive_accuracy
0.872404
predictive_accuracy
0.896142
predictive_accuracy
0.879327
predictive_accuracy
0.892186
predictive_accuracy
0.878338
predictive_accuracy
0.885262
predictive_accuracy
0.890208
predictive_accuracy
0.902077
predictive_accuracy
0.882295
predictive_accuracy
0.88724
predictive_accuracy
0.895153
predictive_accuracy
0.895153
predictive_accuracy
0.897132
predictive_accuracy
0.884273
predictive_accuracy
0.885262
predictive_accuracy
0.878338
predictive_accuracy
0.886251
predictive_accuracy
0.892186
predictive_accuracy
0.878338
predictive_accuracy
0.880317
predictive_accuracy
0.877349
predictive_accuracy
0.884273
predictive_accuracy
0.870425
predictive_accuracy
0.891197
predictive_accuracy
0.86548
predictive_accuracy
0.895153
predictive_accuracy
0.889219
predictive_accuracy
0.891197
predictive_accuracy
0.889219
predictive_accuracy
0.890208
predictive_accuracy
0.883284
predictive_accuracy
0.888229
predictive_accuracy
0.880317
predictive_accuracy
0.885262
predictive_accuracy
0.883284
predictive_accuracy
0.889219
predictive_accuracy
0.890208
predictive_accuracy
0.872404
predictive_accuracy
0.881306
predictive_accuracy
0.88724
predictive_accuracy
0.879327
predictive_accuracy
0.885262
predictive_accuracy
0.882295
predictive_accuracy
0.883284
predictive_accuracy
0.901088
predictive_accuracy
0.910979
predictive_accuracy
0.884273
predictive_accuracy
0.885262
predictive_accuracy
0.892186
predictive_accuracy
0.888229
predictive_accuracy
0.895153
predictive_accuracy
0.901088
predictive_accuracy
0.905045
predictive_accuracy
0.872404
predictive_accuracy
0.894164
predictive_accuracy
0.888229
predictive_accuracy
0.885262
predictive_accuracy
0.883284
predictive_accuracy
0.896142
predictive_accuracy
0.875371
predictive_accuracy
0.886251
predictive_accuracy
0.88724
predictive_accuracy
0.884273
predictive_accuracy
0.903066
predictive_accuracy
0.86548
predictive_accuracy
0.889219
predictive_accuracy
0.887129
predictive_accuracy
0.884158
predictive_accuracy
0.871287
predictive_accuracy
0.89505
predictive_accuracy
0.888119
predictive_accuracy
0.872277
predictive_accuracy
0.892079
predictive_accuracy
0.89703
predictive_accuracy
0.89802
predictive_accuracy
0.863366
predictive_accuracy
0.889109
predictive_accuracy
0.889109
predictive_accuracy
0.89802
predictive_accuracy
0.870297
predictive_accuracy
0.891089
predictive_accuracy
0.872277
predictive_accuracy
0.885149
predictive_accuracy
0.878218
predictive_accuracy
0.894059
predictive_accuracy
0.89604
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
recall
0.875371 [0.904054,0.797048]
recall
0.890208 [0.922973,0.800738]
recall
0.889219 [0.92027,0.804428]
recall
0.902077 [0.935135,0.811808]
recall
0.886251 [0.924324,0.782288]
recall
0.892186 [0.928378,0.793358]
recall
0.891197 [0.925676,0.797048]
recall
0.877349 [0.917568,0.767528]
recall
0.885262 [0.933784,0.752768]
recall
0.878338 [0.921622,0.760148]
recall
0.901088 [0.932432,0.815498]
recall
0.87636 [0.92973,0.730627]
recall
0.879327 [0.924324,0.756458]
recall
0.896142 [0.924324,0.819188]
recall
0.872404 [0.924324,0.730627]
recall
0.896142 [0.925676,0.815498]
recall
0.879327 [0.914865,0.782288]
recall
0.892186 [0.921622,0.811808]
recall
0.878338 [0.909459,0.793358]
recall
0.885262 [0.922973,0.782288]
recall
0.890208 [0.932432,0.774908]
recall
0.902077 [0.937838,0.804428]
recall
0.882295 [0.918919,0.782288]
recall
0.88724 [0.932432,0.763838]
recall
0.895153 [0.933784,0.789668]
recall
0.895153 [0.92973,0.800738]
recall
0.897132 [0.931081,0.804428]
recall
0.884273 [0.92027,0.785978]
recall
0.885262 [0.925676,0.774908]
recall
0.878338 [0.924324,0.752768]
recall
0.886251 [0.925575,0.779412]
recall
0.892186 [0.94046,0.761029]
recall
0.878338 [0.91069,0.790441]
recall
0.880317 [0.918809,0.775735]
recall
0.877349 [0.920162,0.761029]
recall
0.884273 [0.925575,0.772059]
recall
0.870425 [0.913396,0.753676]
recall
0.891197 [0.932341,0.779412]
recall
0.86548 [0.912043,0.738971]
recall
0.895153 [0.925575,0.8125]
recall
0.889219 [0.932341,0.772059]
recall
0.891197 [0.917456,0.819853]
recall
0.889219 [0.921516,0.801471]
recall
0.890208 [0.928281,0.786765]
recall
0.883284 [0.925575,0.768382]
recall
0.888229 [0.922869,0.794118]
recall
0.880317 [0.921516,0.768382]
recall
0.885262 [0.920162,0.790441]
recall
0.883284 [0.921516,0.779412]
recall
0.889219 [0.933694,0.768382]
recall
0.890208 [0.933694,0.772059]
recall
0.872404 [0.913396,0.761029]
recall
0.881306 [0.91069,0.801471]
recall
0.88724 [0.924222,0.786765]
recall
0.879327 [0.917456,0.775735]
recall
0.885262 [0.918809,0.794118]
recall
0.882295 [0.918809,0.783088]
recall
0.883284 [0.936401,0.738971]
recall
0.901088 [0.937754,0.801471]
recall
0.910979 [0.936401,0.841912]
recall
0.884273 [0.925575,0.772059]
recall
0.885262 [0.920162,0.790441]
recall
0.892186 [0.928281,0.794118]
recall
0.888229 [0.924222,0.790441]
recall
0.895153 [0.933694,0.790441]
recall
0.901088 [0.932341,0.816176]
recall
0.905045 [0.933694,0.827206]
recall
0.872404 [0.918809,0.746324]
recall
0.894164 [0.929635,0.797794]
recall
0.888229 [0.935047,0.761029]
recall
0.885262 [0.920162,0.790441]
recall
0.883284 [0.920162,0.783088]
recall
0.896142 [0.941813,0.772059]
recall
0.875371 [0.918809,0.757353]
recall
0.886251 [0.926928,0.775735]
recall
0.88724 [0.928281,0.775735]
recall
0.884273 [0.930988,0.757353]
recall
0.903066 [0.926928,0.838235]
recall
0.86548 [0.906631,0.753676]
recall
0.889219 [0.933694,0.768382]
recall
0.887129 [0.916103,0.808118]
recall
0.884158 [0.920162,0.785978]
recall
0.871287 [0.905277,0.778598]
recall
0.89505 [0.932341,0.793358]
recall
0.888119 [0.91475,0.815498]
recall
0.872277 [0.918809,0.745387]
recall
0.892079 [0.937754,0.767528]
recall
0.89703 [0.918809,0.837638]
recall
0.89802 [0.928281,0.815498]
recall
0.863366 [0.902571,0.756458]
recall
0.889109 [0.933694,0.767528]
recall
0.889109 [0.924222,0.793358]
recall
0.89802 [0.930988,0.808118]
recall
0.870297 [0.91069,0.760148]
recall
0.891089 [0.921516,0.808118]
recall
0.872277 [0.913396,0.760148]
recall
0.885149 [0.920162,0.789668]
recall
0.878218 [0.930988,0.734317]
recall
0.894059 [0.926928,0.804428]
recall
0.89604 [0.918809,0.833948]
relative_absolute_error
0.325463
relative_absolute_error
0.303226
relative_absolute_error
0.306913
relative_absolute_error
0.27892
relative_absolute_error
0.309827
relative_absolute_error
0.309068
relative_absolute_error
0.302192
relative_absolute_error
0.324572
relative_absolute_error
0.309449
relative_absolute_error
0.334954
relative_absolute_error
0.285811
relative_absolute_error
0.33674
relative_absolute_error
0.330921
relative_absolute_error
0.293746
relative_absolute_error
0.346074
relative_absolute_error
0.287122
relative_absolute_error
0.337799
relative_absolute_error
0.296723
relative_absolute_error
0.333188
relative_absolute_error
0.310168
relative_absolute_error
0.295631
relative_absolute_error
0.284345
relative_absolute_error
0.321602
relative_absolute_error
0.304771
relative_absolute_error
0.290931
relative_absolute_error
0.285872
relative_absolute_error
0.301788
relative_absolute_error
0.316604
relative_absolute_error
0.319122
relative_absolute_error
0.32989
relative_absolute_error
0.317446
relative_absolute_error
0.298806
relative_absolute_error
0.332723
relative_absolute_error
0.326102
relative_absolute_error
0.340479
relative_absolute_error
0.31565
relative_absolute_error
0.350521
relative_absolute_error
0.304621
relative_absolute_error
0.357944
relative_absolute_error
0.286943
relative_absolute_error
0.314263
relative_absolute_error
0.297552
relative_absolute_error
0.310278
relative_absolute_error
0.323226
relative_absolute_error
0.319853
relative_absolute_error
0.311097
relative_absolute_error
0.322105
relative_absolute_error
0.308867
relative_absolute_error
0.327032
relative_absolute_error
0.317977
relative_absolute_error
0.305077
relative_absolute_error
0.33696
relative_absolute_error
0.31846
relative_absolute_error
0.319309
relative_absolute_error
0.328832
relative_absolute_error
0.328597
relative_absolute_error
0.32472
relative_absolute_error
0.317443
relative_absolute_error
0.273133
relative_absolute_error
0.255846
relative_absolute_error
0.32396
relative_absolute_error
0.318176
relative_absolute_error
0.301108
relative_absolute_error
0.311005
relative_absolute_error
0.293852
relative_absolute_error
0.290991
relative_absolute_error
0.277368
relative_absolute_error
0.346212
relative_absolute_error
0.285249
relative_absolute_error
0.29937
relative_absolute_error
0.317123
relative_absolute_error
0.322516
relative_absolute_error
0.292964
relative_absolute_error
0.339034
relative_absolute_error
0.311809
relative_absolute_error
0.314614
relative_absolute_error
0.309643
relative_absolute_error
0.278247
relative_absolute_error
0.353817
relative_absolute_error
0.314333
relative_absolute_error
0.308886
relative_absolute_error
0.32516
relative_absolute_error
0.349146
relative_absolute_error
0.294978
relative_absolute_error
0.297555
relative_absolute_error
0.336345
relative_absolute_error
0.293983
relative_absolute_error
0.290652
relative_absolute_error
0.283841
relative_absolute_error
0.357605
relative_absolute_error
0.320222
relative_absolute_error
0.31133
relative_absolute_error
0.28052
relative_absolute_error
0.352693
relative_absolute_error
0.2967
relative_absolute_error
0.345701
relative_absolute_error
0.312133
relative_absolute_error
0.333738
relative_absolute_error
0.29299
relative_absolute_error
0.299715
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_squared_error
0.316579
root_mean_squared_error
0.30256
root_mean_squared_error
0.310187
root_mean_squared_error
0.292498
root_mean_squared_error
0.3117
root_mean_squared_error
0.307782
root_mean_squared_error
0.305102
root_mean_squared_error
0.317307
root_mean_squared_error
0.316554
root_mean_squared_error
0.328382
root_mean_squared_error
0.291651
root_mean_squared_error
0.328447
root_mean_squared_error
0.319812
root_mean_squared_error
0.302514
root_mean_squared_error
0.332837
root_mean_squared_error
0.298946
root_mean_squared_error
0.325045
root_mean_squared_error
0.307785
root_mean_squared_error
0.324284
root_mean_squared_error
0.316789
root_mean_squared_error
0.299165
root_mean_squared_error
0.291583
root_mean_squared_error
0.313794
root_mean_squared_error
0.307648
root_mean_squared_error
0.295537
root_mean_squared_error
0.297862
root_mean_squared_error
0.305415
root_mean_squared_error
0.314503
root_mean_squared_error
0.317241
root_mean_squared_error
0.324415
root_mean_squared_error
0.31453
root_mean_squared_error
0.302883
root_mean_squared_error
0.320074
root_mean_squared_error
0.321707
root_mean_squared_error
0.328985
root_mean_squared_error
0.31438
root_mean_squared_error
0.335709
root_mean_squared_error
0.30699
root_mean_squared_error
0.337895
root_mean_squared_error
0.298753
root_mean_squared_error
0.307115
root_mean_squared_error
0.304117
root_mean_squared_error
0.306415
root_mean_squared_error
0.31004
root_mean_squared_error
0.315767
root_mean_squared_error
0.308754
root_mean_squared_error
0.319665
root_mean_squared_error
0.308347
root_mean_squared_error
0.315591
root_mean_squared_error
0.31739
root_mean_squared_error
0.311125
root_mean_squared_error
0.329572
root_mean_squared_error
0.313634
root_mean_squared_error
0.312635
root_mean_squared_error
0.318209
root_mean_squared_error
0.320358
root_mean_squared_error
0.309086
root_mean_squared_error
0.312653
root_mean_squared_error
0.289064
root_mean_squared_error
0.275895
root_mean_squared_error
0.317476
root_mean_squared_error
0.315784
root_mean_squared_error
0.304185
root_mean_squared_error
0.306712
root_mean_squared_error
0.299541
root_mean_squared_error
0.29699
root_mean_squared_error
0.289251
root_mean_squared_error
0.329371
root_mean_squared_error
0.293777
root_mean_squared_error
0.30811
root_mean_squared_error
0.320412
root_mean_squared_error
0.315943
root_mean_squared_error
0.29717
root_mean_squared_error
0.324494
root_mean_squared_error
0.311152
root_mean_squared_error
0.312896
root_mean_squared_error
0.313099
root_mean_squared_error
0.289131
root_mean_squared_error
0.333152
root_mean_squared_error
0.311819
root_mean_squared_error
0.313141
root_mean_squared_error
0.31646
root_mean_squared_error
0.339151
root_mean_squared_error
0.305772
root_mean_squared_error
0.303052
root_mean_squared_error
0.32955
root_mean_squared_error
0.299235
root_mean_squared_error
0.296346
root_mean_squared_error
0.295304
root_mean_squared_error
0.337929
root_mean_squared_error
0.318807
root_mean_squared_error
0.30802
root_mean_squared_error
0.291954
root_mean_squared_error
0.334068
root_mean_squared_error
0.301233
root_mean_squared_error
0.333324
root_mean_squared_error
0.317508
root_mean_squared_error
0.324567
root_mean_squared_error
0.303712
root_mean_squared_error
0.300466
root_relative_squared_error
0.714714
root_relative_squared_error
0.683064
root_relative_squared_error
0.700284
root_relative_squared_error
0.660349
root_relative_squared_error
0.703698
root_relative_squared_error
0.694855
root_relative_squared_error
0.688804
root_relative_squared_error
0.716359
root_relative_squared_error
0.714657
root_relative_squared_error
0.741361
root_relative_squared_error
0.658436
root_relative_squared_error
0.741506
root_relative_squared_error
0.722014
root_relative_squared_error
0.68296
root_relative_squared_error
0.751418
root_relative_squared_error
0.674905
root_relative_squared_error
0.733826
root_relative_squared_error
0.694861
root_relative_squared_error
0.732109
root_relative_squared_error
0.715189
root_relative_squared_error
0.675399
root_relative_squared_error
0.658282
root_relative_squared_error
0.708427
root_relative_squared_error
0.694551
root_relative_squared_error
0.667209
root_relative_squared_error
0.672459
root_relative_squared_error
0.68951
root_relative_squared_error
0.710027
root_relative_squared_error
0.71621
root_relative_squared_error
0.732406
root_relative_squared_error
0.709262
root_relative_squared_error
0.682998
root_relative_squared_error
0.721764
root_relative_squared_error
0.725446
root_relative_squared_error
0.741857
root_relative_squared_error
0.708924
root_relative_squared_error
0.757019
root_relative_squared_error
0.692259
root_relative_squared_error
0.761948
root_relative_squared_error
0.673684
root_relative_squared_error
0.69254
root_relative_squared_error
0.68578
root_relative_squared_error
0.690962
root_relative_squared_error
0.699136
root_relative_squared_error
0.71205
root_relative_squared_error
0.696238
root_relative_squared_error
0.720841
root_relative_squared_error
0.69532
root_relative_squared_error
0.711654
root_relative_squared_error
0.71571
root_relative_squared_error
0.701584
root_relative_squared_error
0.743181
root_relative_squared_error
0.707241
root_relative_squared_error
0.704988
root_relative_squared_error
0.717558
root_relative_squared_error
0.722402
root_relative_squared_error
0.696985
root_relative_squared_error
0.705029
root_relative_squared_error
0.651835
root_relative_squared_error
0.62214
root_relative_squared_error
0.715906
root_relative_squared_error
0.712089
root_relative_squared_error
0.685933
root_relative_squared_error
0.691632
root_relative_squared_error
0.675461
root_relative_squared_error
0.669708
root_relative_squared_error
0.652257
root_relative_squared_error
0.742728
root_relative_squared_error
0.662463
root_relative_squared_error
0.694784
root_relative_squared_error
0.722525
root_relative_squared_error
0.712448
root_relative_squared_error
0.670114
root_relative_squared_error
0.731729
root_relative_squared_error
0.701643
root_relative_squared_error
0.705577
root_relative_squared_error
0.706034
root_relative_squared_error
0.651988
root_relative_squared_error
0.751254
root_relative_squared_error
0.703148
root_relative_squared_error
0.706731
root_relative_squared_error
0.714222
root_relative_squared_error
0.765432
root_relative_squared_error
0.690099
root_relative_squared_error
0.683961
root_relative_squared_error
0.743765
root_relative_squared_error
0.675348
root_relative_squared_error
0.668827
root_relative_squared_error
0.666476
root_relative_squared_error
0.762675
root_relative_squared_error
0.719518
root_relative_squared_error
0.695173
root_relative_squared_error
0.658915
root_relative_squared_error
0.753962
root_relative_squared_error
0.679856
root_relative_squared_error
0.752282
root_relative_squared_error
0.716587
root_relative_squared_error
0.732518
root_relative_squared_error
0.685451
root_relative_squared_error
0.678125
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
2870
usercpu_time_millis
2970
usercpu_time_millis
3090
usercpu_time_millis
3070
usercpu_time_millis
2750
usercpu_time_millis
3040
usercpu_time_millis
3080
usercpu_time_millis
3020
usercpu_time_millis
3010
usercpu_time_millis
3070
usercpu_time_millis
2570
usercpu_time_millis
2750
usercpu_time_millis
3100
usercpu_time_millis
3080
usercpu_time_millis
2740
usercpu_time_millis
3040
usercpu_time_millis
3050
usercpu_time_millis
3060
usercpu_time_millis
3030
usercpu_time_millis
3080
usercpu_time_millis
2660
usercpu_time_millis
2590
usercpu_time_millis
3080
usercpu_time_millis
3090
usercpu_time_millis
2720
usercpu_time_millis
3050
usercpu_time_millis
3040
usercpu_time_millis
3040
usercpu_time_millis
3010
usercpu_time_millis
3090
usercpu_time_millis
2690
usercpu_time_millis
2730
usercpu_time_millis
3110
usercpu_time_millis
3000
usercpu_time_millis
2750
usercpu_time_millis
3040
usercpu_time_millis
3070
usercpu_time_millis
3050
usercpu_time_millis
3060
usercpu_time_millis
3070
usercpu_time_millis
2370
usercpu_time_millis
2840
usercpu_time_millis
3090
usercpu_time_millis
2740
usercpu_time_millis
2890
usercpu_time_millis
3040
usercpu_time_millis
3080
usercpu_time_millis
3040
usercpu_time_millis
3010
usercpu_time_millis
3100
usercpu_time_millis
2380
usercpu_time_millis
2870
usercpu_time_millis
3090
usercpu_time_millis
2720
usercpu_time_millis
3070
usercpu_time_millis
3060
usercpu_time_millis
3040
usercpu_time_millis
3050
usercpu_time_millis
3020
usercpu_time_millis
3080
usercpu_time_millis
2550
usercpu_time_millis
2790
usercpu_time_millis
3100
usercpu_time_millis
2730
usercpu_time_millis
3070
usercpu_time_millis
3030
usercpu_time_millis
3050
usercpu_time_millis
3060
usercpu_time_millis
3030
usercpu_time_millis
3160
usercpu_time_millis
2270
usercpu_time_millis
2500
usercpu_time_millis
3110
usercpu_time_millis
2720
usercpu_time_millis
3040
usercpu_time_millis
3040
usercpu_time_millis
3070
usercpu_time_millis
3030
usercpu_time_millis
3110
usercpu_time_millis
3100
usercpu_time_millis
2330
usercpu_time_millis
2530
usercpu_time_millis
3100
usercpu_time_millis
2740
usercpu_time_millis
3050
usercpu_time_millis
3030
usercpu_time_millis
3050
usercpu_time_millis
3050
usercpu_time_millis
3100
usercpu_time_millis
3100
usercpu_time_millis
2660
usercpu_time_millis
2570
usercpu_time_millis
3110
usercpu_time_millis
2720
usercpu_time_millis
3050
usercpu_time_millis
3040
usercpu_time_millis
3040
usercpu_time_millis
3050
usercpu_time_millis
3130
usercpu_time_millis
3110
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
2870
usercpu_time_millis_training
2970
usercpu_time_millis_training
3090
usercpu_time_millis_training
3070
usercpu_time_millis_training
2740
usercpu_time_millis_training
3040
usercpu_time_millis_training
3070
usercpu_time_millis_training
3020
usercpu_time_millis_training
3010
usercpu_time_millis_training
3060
usercpu_time_millis_training
2570
usercpu_time_millis_training
2740
usercpu_time_millis_training
3090
usercpu_time_millis_training
3080
usercpu_time_millis_training
2730
usercpu_time_millis_training
3040
usercpu_time_millis_training
3050
usercpu_time_millis_training
3060
usercpu_time_millis_training
3030
usercpu_time_millis_training
3070
usercpu_time_millis_training
2660
usercpu_time_millis_training
2580
usercpu_time_millis_training
3080
usercpu_time_millis_training
3090
usercpu_time_millis_training
2710
usercpu_time_millis_training
3050
usercpu_time_millis_training
3040
usercpu_time_millis_training
3030
usercpu_time_millis_training
3010
usercpu_time_millis_training
3090
usercpu_time_millis_training
2680
usercpu_time_millis_training
2720
usercpu_time_millis_training
3100
usercpu_time_millis_training
3000
usercpu_time_millis_training
2750
usercpu_time_millis_training
3040
usercpu_time_millis_training
3070
usercpu_time_millis_training
3050
usercpu_time_millis_training
3060
usercpu_time_millis_training
3070
usercpu_time_millis_training
2370
usercpu_time_millis_training
2840
usercpu_time_millis_training
3090
usercpu_time_millis_training
2740
usercpu_time_millis_training
2890
usercpu_time_millis_training
3040
usercpu_time_millis_training
3080
usercpu_time_millis_training
3040
usercpu_time_millis_training
3000
usercpu_time_millis_training
3100
usercpu_time_millis_training
2380
usercpu_time_millis_training
2860
usercpu_time_millis_training
3090
usercpu_time_millis_training
2720
usercpu_time_millis_training
3070
usercpu_time_millis_training
3050
usercpu_time_millis_training
3040
usercpu_time_millis_training
3050
usercpu_time_millis_training
3020
usercpu_time_millis_training
3070
usercpu_time_millis_training
2550
usercpu_time_millis_training
2780
usercpu_time_millis_training
3100
usercpu_time_millis_training
2730
usercpu_time_millis_training
3070
usercpu_time_millis_training
3030
usercpu_time_millis_training
3050
usercpu_time_millis_training
3060
usercpu_time_millis_training
3030
usercpu_time_millis_training
3150
usercpu_time_millis_training
2260
usercpu_time_millis_training
2500
usercpu_time_millis_training
3110
usercpu_time_millis_training
2710
usercpu_time_millis_training
3040
usercpu_time_millis_training
3040
usercpu_time_millis_training
3060
usercpu_time_millis_training
3030
usercpu_time_millis_training
3110
usercpu_time_millis_training
3100
usercpu_time_millis_training
2320
usercpu_time_millis_training
2530
usercpu_time_millis_training
3090
usercpu_time_millis_training
2740
usercpu_time_millis_training
3040
usercpu_time_millis_training
3030
usercpu_time_millis_training
3050
usercpu_time_millis_training
3050
usercpu_time_millis_training
3100
usercpu_time_millis_training
3090
usercpu_time_millis_training
2660
usercpu_time_millis_training
2560
usercpu_time_millis_training
3100
usercpu_time_millis_training
2720
usercpu_time_millis_training
3040
usercpu_time_millis_training
3040
usercpu_time_millis_training
3040
usercpu_time_millis_training
3040
usercpu_time_millis_training
3130
usercpu_time_millis_training
3110