414211
2
Joaquin Vanschoren
4601
Supervised Classification
predictive_accuracy
1188
weka.END_ND_J48(3)
2039
weka.classifiers.meta.END -- -S 1 -I 10 -W weka.classifiers.meta.nestedDichotomies.ND -- -S 1 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2
C
0.25
1068
M
2
1068
S
1
1188
I
10
1188
W
weka.classifiers.meta.nestedDichotomies.ND
1188
S
1
1189
W
weka.classifiers.trees.J48
1189
weka
weka_3.7.12
1043
ada_agnostic
https://www.openml.org/data/download/53926/ada_agnostic.arff
-1
1444296
description
https://api.openml.org/data/download/1444296/weka_generated_run4112287089975434792.xml
-1
1444299
model_readable
https://api.openml.org/data/download/1444299/WekaModel_weka.classifiers.meta.END3367125605864508354.model
-1
1444298
model_serialized
https://api.openml.org/data/download/1444298/WekaSerialized_weka.classifiers.meta.END5160759363682138276.model
-1
1444297
predictions
https://api.openml.org/data/download/1444297/weka_generated_predictions1853901829153329820.arff
area_under_roc_curve
0.829936 [0.829936,0.829936]
average_cost
0
f_measure
0.827136 [0.892092,0.630318]
kappa
0.523751
kb_relative_information_score
18887.645069
mean_absolute_error
0.210936
mean_prior_absolute_error
0.373185
number_of_instances
45620 [34300,11320]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.825478 [0.867226,0.698978]
predictive_accuracy
0.832946
prior_entropy
0.808488
recall
0.832946 [0.918426,0.57394]
relative_absolute_error
0.565231
root_mean_prior_squared_error
0.431932
root_mean_squared_error
0.36203
root_relative_squared_error
0.838165
scimark_benchmark
922.823156 [534.715120358964, 988.6890749395138, 473.43116282050204, 886.8200001693772, 1730.4604232226736]
total_cost
0
usercpu_time_millis
600
usercpu_time_millis_testing
50
usercpu_time_millis_training
550
area_under_roc_curve
0.821774 [0.821774,0.821774]
area_under_roc_curve
0.839394 [0.839394,0.839394]
area_under_roc_curve
0.858613 [0.858613,0.858613]
area_under_roc_curve
0.831287 [0.831287,0.831287]
area_under_roc_curve
0.808974 [0.808974,0.808974]
area_under_roc_curve
0.778375 [0.778375,0.778375]
area_under_roc_curve
0.813168 [0.813168,0.813168]
area_under_roc_curve
0.805867 [0.805867,0.805867]
area_under_roc_curve
0.831786 [0.831786,0.831786]
area_under_roc_curve
0.840238 [0.840238,0.840238]
area_under_roc_curve
0.858447 [0.858447,0.858447]
area_under_roc_curve
0.764168 [0.764168,0.764168]
area_under_roc_curve
0.809447 [0.809447,0.809447]
area_under_roc_curve
0.795279 [0.795279,0.795279]
area_under_roc_curve
0.782876 [0.782876,0.782876]
area_under_roc_curve
0.797478 [0.797478,0.797478]
area_under_roc_curve
0.828474 [0.828474,0.828474]
area_under_roc_curve
0.848307 [0.848307,0.848307]
area_under_roc_curve
0.844496 [0.844496,0.844496]
area_under_roc_curve
0.75945 [0.75945,0.75945]
area_under_roc_curve
0.798756 [0.798756,0.798756]
area_under_roc_curve
0.823473 [0.823473,0.823473]
area_under_roc_curve
0.838941 [0.838941,0.838941]
area_under_roc_curve
0.805748 [0.805748,0.805748]
area_under_roc_curve
0.814559 [0.814559,0.814559]
area_under_roc_curve
0.844462 [0.844462,0.844462]
area_under_roc_curve
0.820506 [0.820506,0.820506]
area_under_roc_curve
0.778103 [0.778103,0.778103]
area_under_roc_curve
0.817836 [0.817836,0.817836]
area_under_roc_curve
0.855685 [0.855685,0.855685]
area_under_roc_curve
0.862858 [0.862858,0.862858]
area_under_roc_curve
0.844514 [0.844514,0.844514]
area_under_roc_curve
0.827705 [0.827705,0.827705]
area_under_roc_curve
0.83845 [0.83845,0.83845]
area_under_roc_curve
0.821267 [0.821267,0.821267]
area_under_roc_curve
0.859323 [0.859323,0.859323]
area_under_roc_curve
0.822093 [0.822093,0.822093]
area_under_roc_curve
0.785792 [0.785792,0.785792]
area_under_roc_curve
0.859658 [0.859658,0.859658]
area_under_roc_curve
0.843933 [0.843933,0.843933]
area_under_roc_curve
0.827008 [0.827008,0.827008]
area_under_roc_curve
0.815282 [0.815282,0.815282]
area_under_roc_curve
0.857091 [0.857091,0.857091]
area_under_roc_curve
0.84432 [0.84432,0.84432]
area_under_roc_curve
0.86625 [0.86625,0.86625]
area_under_roc_curve
0.871694 [0.871694,0.871694]
area_under_roc_curve
0.843172 [0.843172,0.843172]
area_under_roc_curve
0.848771 [0.848771,0.848771]
area_under_roc_curve
0.787095 [0.787095,0.787095]
area_under_roc_curve
0.810818 [0.810818,0.810818]
area_under_roc_curve
0.848719 [0.848719,0.848719]
area_under_roc_curve
0.859349 [0.859349,0.859349]
area_under_roc_curve
0.821254 [0.821254,0.821254]
area_under_roc_curve
0.816623 [0.816623,0.816623]
area_under_roc_curve
0.785843 [0.785843,0.785843]
area_under_roc_curve
0.800343 [0.800343,0.800343]
area_under_roc_curve
0.850138 [0.850138,0.850138]
area_under_roc_curve
0.834477 [0.834477,0.834477]
area_under_roc_curve
0.811824 [0.811824,0.811824]
area_under_roc_curve
0.798705 [0.798705,0.798705]
area_under_roc_curve
0.843391 [0.843391,0.843391]
area_under_roc_curve
0.86923 [0.86923,0.86923]
area_under_roc_curve
0.848564 [0.848564,0.848564]
area_under_roc_curve
0.825318 [0.825318,0.825318]
area_under_roc_curve
0.822493 [0.822493,0.822493]
area_under_roc_curve
0.825537 [0.825537,0.825537]
area_under_roc_curve
0.869643 [0.869643,0.869643]
area_under_roc_curve
0.857272 [0.857272,0.857272]
area_under_roc_curve
0.802962 [0.802962,0.802962]
area_under_roc_curve
0.800975 [0.800975,0.800975]
area_under_roc_curve
0.798253 [0.798253,0.798253]
area_under_roc_curve
0.830504 [0.830504,0.830504]
area_under_roc_curve
0.842475 [0.842475,0.842475]
area_under_roc_curve
0.809902 [0.809902,0.809902]
area_under_roc_curve
0.877603 [0.877603,0.877603]
area_under_roc_curve
0.805658 [0.805658,0.805658]
area_under_roc_curve
0.834735 [0.834735,0.834735]
area_under_roc_curve
0.866999 [0.866999,0.866999]
area_under_roc_curve
0.831781 [0.831781,0.831781]
area_under_roc_curve
0.776916 [0.776916,0.776916]
area_under_roc_curve
0.802472 [0.802472,0.802472]
area_under_roc_curve
0.842785 [0.842785,0.842785]
area_under_roc_curve
0.831549 [0.831549,0.831549]
area_under_roc_curve
0.81016 [0.81016,0.81016]
area_under_roc_curve
0.818068 [0.818068,0.818068]
area_under_roc_curve
0.861993 [0.861993,0.861993]
area_under_roc_curve
0.845184 [0.845184,0.845184]
area_under_roc_curve
0.82119 [0.82119,0.82119]
area_under_roc_curve
0.814146 [0.814146,0.814146]
area_under_roc_curve
0.849042 [0.849042,0.849042]
area_under_roc_curve
0.832271 [0.832271,0.832271]
area_under_roc_curve
0.820519 [0.820519,0.820519]
area_under_roc_curve
0.827111 [0.827111,0.827111]
area_under_roc_curve
0.871475 [0.871475,0.871475]
area_under_roc_curve
0.852112 [0.852112,0.852112]
area_under_roc_curve
0.853363 [0.853363,0.853363]
area_under_roc_curve
0.825086 [0.825086,0.825086]
area_under_roc_curve
0.847364 [0.847364,0.847364]
area_under_roc_curve
0.879886 [0.879886,0.879886]
area_under_roc_curve
0.792126 [0.792126,0.792126]
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
0.824189 [0.889205,0.628571]
f_measure
0.842221 [0.900568,0.666667]
f_measure
0.820263 [0.883453,0.630137]
f_measure
0.838873 [0.897143,0.663551]
f_measure
0.826032 [0.893258,0.623762]
f_measure
0.817269 [0.889819,0.598985]
f_measure
0.807542 [0.877143,0.598131]
f_measure
0.82286 [0.889831,0.621359]
f_measure
0.82226 [0.887624,0.625592]
f_measure
0.846942 [0.905767,0.669951]
f_measure
0.853305 [0.905172,0.697248]
f_measure
0.805821 [0.88045,0.581281]
f_measure
0.8404 [0.903766,0.649746]
f_measure
0.816422 [0.880231,0.624434]
f_measure
0.808487 [0.88169,0.588235]
f_measure
0.824189 [0.889205,0.628571]
f_measure
0.83061 [0.896067,0.633663]
f_measure
0.826931 [0.897507,0.614583]
f_measure
0.828058 [0.892351,0.634615]
f_measure
0.814058 [0.893151,0.576087]
f_measure
0.814229 [0.890733,0.582011]
f_measure
0.83789 [0.897436,0.657143]
f_measure
0.832617 [0.892396,0.651163]
f_measure
0.813273 [0.884181,0.598039]
f_measure
0.821677 [0.890141,0.613861]
f_measure
0.835935 [0.895863,0.654028]
f_measure
0.805281 [0.88045,0.577114]
f_measure
0.812082 [0.88227,0.599034]
f_measure
0.826315 [0.890469,0.631579]
f_measure
0.848871 [0.904694,0.679426]
f_measure
0.836516 [0.895565,0.657277]
f_measure
0.835394 [0.898592,0.643564]
f_measure
0.821761 [0.885057,0.62963]
f_measure
0.808393 [0.876437,0.601852]
f_measure
0.817292 [0.88478,0.61244]
f_measure
0.848307 [0.904965,0.676329]
f_measure
0.83344 [0.897038,0.640394]
f_measure
0.799531 [0.867925,0.591928]
f_measure
0.837353 [0.900141,0.646766]
f_measure
0.842596 [0.897547,0.675799]
f_measure
0.829545 [0.893918,0.634146]
f_measure
0.810299 [0.878049,0.604651]
f_measure
0.826217 [0.887931,0.638889]
f_measure
0.842566 [0.90268,0.660099]
f_measure
0.843881 [0.906815,0.65285]
f_measure
0.825666 [0.89078,0.628019]
f_measure
0.842393 [0.900285,0.666667]
f_measure
0.826249 [0.892958,0.623762]
f_measure
0.809081 [0.88359,0.582915]
f_measure
0.830291 [0.900552,0.617021]
f_measure
0.828189 [0.894515,0.626866]
f_measure
0.871428 [0.918919,0.727273]
f_measure
0.821677 [0.890141,0.613861]
f_measure
0.808499 [0.886111,0.572917]
f_measure
0.807737 [0.876791,0.598131]
f_measure
0.827524 [0.89931,0.609626]
f_measure
0.835935 [0.895863,0.654028]
f_measure
0.844559 [0.899135,0.678899]
f_measure
0.801372 [0.87231,0.586047]
f_measure
0.839585 [0.896552,0.666667]
f_measure
0.835394 [0.898592,0.643564]
f_measure
0.815386 [0.880576,0.617512]
f_measure
0.845153 [0.903955,0.666667]
f_measure
0.815789 [0.877551,0.628319]
f_measure
0.820523 [0.885714,0.622642]
f_measure
0.829545 [0.893918,0.634146]
f_measure
0.830673 [0.890805,0.648148]
f_measure
0.833984 [0.894286,0.650943]
f_measure
0.817841 [0.891667,0.59375]
f_measure
0.805281 [0.88045,0.577114]
f_measure
0.823608 [0.891702,0.616915]
f_measure
0.827356 [0.887283,0.645455]
f_measure
0.831083 [0.900277,0.621053]
f_measure
0.807179 [0.882022,0.58]
f_measure
0.830826 [0.893314,0.641148]
f_measure
0.821138 [0.887943,0.618357]
f_measure
0.839848 [0.899004,0.660287]
f_measure
0.816729 [0.889819,0.594872]
f_measure
0.819877 [0.88604,0.619048]
f_measure
0.790064 [0.862518,0.570136]
f_measure
0.797758 [0.887381,0.525714]
f_measure
0.823733 [0.889205,0.625]
f_measure
0.822882 [0.892006,0.613065]
f_measure
0.810987 [0.885154,0.585859]
f_measure
0.836516 [0.895565,0.657277]
f_measure
0.827483 [0.894811,0.623116]
f_measure
0.83144 [0.89301,0.64455]
f_measure
0.837959 [0.902235,0.642857]
f_measure
0.840599 [0.90113,0.656863]
f_measure
0.856256 [0.911142,0.689655]
f_measure
0.814762 [0.880918,0.613953]
f_measure
0.817292 [0.88478,0.61244]
f_measure
0.812532 [0.884507,0.594059]
f_measure
0.849707 [0.90678,0.676471]
f_measure
0.83149 [0.89548,0.637255]
f_measure
0.850877 [0.900875,0.699115]
f_measure
0.835006 [0.903315,0.62766]
f_measure
0.862828 [0.915493,0.70297]
f_measure
0.828252 [0.892045,0.634615]
f_measure
0.832772 [0.894886,0.644231]
kappa
0.51883
kappa
0.568181
kappa
0.513849
kappa
0.561268
kappa
0.51928
kappa
0.492258
kappa
0.475959
kappa
0.512806
kappa
0.514163
kappa
0.577547
kappa
0.602682
kappa
0.464052
kappa
0.556529
kappa
0.504824
kappa
0.472025
kappa
0.51883
kappa
0.531931
kappa
0.516609
kappa
0.528252
kappa
0.476779
kappa
0.477974
kappa
0.555351
kappa
0.543927
kappa
0.483949
kappa
0.505986
kappa
0.550575
kappa
0.459926
kappa
0.482583
kappa
0.522987
kappa
0.584936
kappa
0.553349
kappa
0.543987
kappa
0.51501
kappa
0.478635
kappa
0.498207
kappa
0.582326
kappa
0.539126
kappa
0.459884
kappa
0.54888
kappa
0.573484
kappa
0.529496
kappa
0.483117
kappa
0.527134
kappa
0.564379
kappa
0.563093
kappa
0.519987
kappa
0.567702
kappa
0.518653
kappa
0.469232
kappa
0.522638
kappa
0.523464
kappa
0.646886
kappa
0.505986
kappa
0.463514
kappa
0.475427
kappa
0.514384
kappa
0.550575
kappa
0.578213
kappa
0.458793
kappa
0.563509
kappa
0.543987
kappa
0.498356
kappa
0.572056
kappa
0.50587
kappa
0.509004
kappa
0.529496
kappa
0.539259
kappa
0.545829
kappa
0.489684
kappa
0.459926
kappa
0.510757
kappa
0.532848
kappa
0.52581
kappa
0.464564
kappa
0.535377
kappa
0.507519
kappa
0.560157
kappa
0.488208
kappa
0.505945
kappa
0.432747
kappa
0.424698
kappa
0.515277
kappa
0.507601
kappa
0.47393
kappa
0.553349
kappa
0.52039
kappa
0.538262
kappa
0.547991
kappa
0.559469
kappa
0.60226
kappa
0.495279
kappa
0.498207
kappa
0.480652
kappa
0.584642
kappa
0.534296
kappa
0.59999
kappa
0.535898
kappa
0.619989
kappa
0.527706
kappa
0.540135
kb_relative_information_score
190.409985
kb_relative_information_score
209.363409
kb_relative_information_score
182.121466
kb_relative_information_score
203.208852
kb_relative_information_score
192.457244
kb_relative_information_score
183.77073
kb_relative_information_score
169.813772
kb_relative_information_score
183.115708
kb_relative_information_score
179.979038
kb_relative_information_score
202.608783
kb_relative_information_score
214.113459
kb_relative_information_score
174.12645
kb_relative_information_score
190.816759
kb_relative_information_score
181.327144
kb_relative_information_score
172.201421
kb_relative_information_score
184.846883
kb_relative_information_score
189.328683
kb_relative_information_score
188.978989
kb_relative_information_score
192.04474
kb_relative_information_score
178.155683
kb_relative_information_score
174.620544
kb_relative_information_score
202.441424
kb_relative_information_score
186.817236
kb_relative_information_score
184.035097
kb_relative_information_score
190.239589
kb_relative_information_score
190.133918
kb_relative_information_score
165.320293
kb_relative_information_score
175.189363
kb_relative_information_score
190.364263
kb_relative_information_score
211.6956
kb_relative_information_score
199.984023
kb_relative_information_score
196.565792
kb_relative_information_score
192.226928
kb_relative_information_score
168.337759
kb_relative_information_score
174.851026
kb_relative_information_score
206.948225
kb_relative_information_score
183.144238
kb_relative_information_score
148.145265
kb_relative_information_score
199.655229
kb_relative_information_score
204.335593
kb_relative_information_score
184.06579
kb_relative_information_score
168.482595
kb_relative_information_score
189.274122
kb_relative_information_score
214.943124
kb_relative_information_score
207.873531
kb_relative_information_score
197.586121
kb_relative_information_score
195.710453
kb_relative_information_score
202.516828
kb_relative_information_score
174.425465
kb_relative_information_score
199.05164
kb_relative_information_score
195.156759
kb_relative_information_score
223.848004
kb_relative_information_score
183.304348
kb_relative_information_score
180.99576
kb_relative_information_score
161.580639
kb_relative_information_score
179.910735
kb_relative_information_score
200.350801
kb_relative_information_score
202.366669
kb_relative_information_score
167.40619
kb_relative_information_score
197.700478
kb_relative_information_score
194.203088
kb_relative_information_score
174.185778
kb_relative_information_score
210.084945
kb_relative_information_score
166.450207
kb_relative_information_score
184.050801
kb_relative_information_score
192.446069
kb_relative_information_score
193.462792
kb_relative_information_score
196.997496
kb_relative_information_score
174.596072
kb_relative_information_score
165.079107
kb_relative_information_score
183.262033
kb_relative_information_score
192.511661
kb_relative_information_score
197.481304
kb_relative_information_score
164.703054
kb_relative_information_score
195.21953
kb_relative_information_score
184.10268
kb_relative_information_score
193.933067
kb_relative_information_score
181.434383
kb_relative_information_score
193.692853
kb_relative_information_score
146.002939
kb_relative_information_score
165.351829
kb_relative_information_score
193.235273
kb_relative_information_score
188.062235
kb_relative_information_score
171.045436
kb_relative_information_score
189.010299
kb_relative_information_score
199.571341
kb_relative_information_score
188.690194
kb_relative_information_score
198.830086
kb_relative_information_score
187.968569
kb_relative_information_score
220.643745
kb_relative_information_score
169.930296
kb_relative_information_score
178.92064
kb_relative_information_score
171.547192
kb_relative_information_score
221.263987
kb_relative_information_score
199.831204
kb_relative_information_score
224.98966
kb_relative_information_score
198.133247
kb_relative_information_score
220.284399
kb_relative_information_score
195.108233
kb_relative_information_score
186.936686
mean_absolute_error
0.207695
mean_absolute_error
0.197512
mean_absolute_error
0.215646
mean_absolute_error
0.201179
mean_absolute_error
0.210005
mean_absolute_error
0.217018
mean_absolute_error
0.221606
mean_absolute_error
0.216743
mean_absolute_error
0.218386
mean_absolute_error
0.205475
mean_absolute_error
0.195724
mean_absolute_error
0.219475
mean_absolute_error
0.216471
mean_absolute_error
0.215036
mean_absolute_error
0.223838
mean_absolute_error
0.215533
mean_absolute_error
0.214616
mean_absolute_error
0.21449
mean_absolute_error
0.208488
mean_absolute_error
0.220847
mean_absolute_error
0.22244
mean_absolute_error
0.20108
mean_absolute_error
0.211628
mean_absolute_error
0.211069
mean_absolute_error
0.210174
mean_absolute_error
0.212358
mean_absolute_error
0.227301
mean_absolute_error
0.219678
mean_absolute_error
0.209958
mean_absolute_error
0.19617
mean_absolute_error
0.201473
mean_absolute_error
0.204283
mean_absolute_error
0.203737
mean_absolute_error
0.222024
mean_absolute_error
0.21999
mean_absolute_error
0.196165
mean_absolute_error
0.217471
mean_absolute_error
0.237008
mean_absolute_error
0.20376
mean_absolute_error
0.199553
mean_absolute_error
0.21978
mean_absolute_error
0.224963
mean_absolute_error
0.2077
mean_absolute_error
0.189621
mean_absolute_error
0.200463
mean_absolute_error
0.200981
mean_absolute_error
0.205244
mean_absolute_error
0.197233
mean_absolute_error
0.221097
mean_absolute_error
0.205101
mean_absolute_error
0.206074
mean_absolute_error
0.192084
mean_absolute_error
0.213238
mean_absolute_error
0.212669
mean_absolute_error
0.229184
mean_absolute_error
0.223048
mean_absolute_error
0.201444
mean_absolute_error
0.202636
mean_absolute_error
0.222087
mean_absolute_error
0.203095
mean_absolute_error
0.207615
mean_absolute_error
0.220575
mean_absolute_error
0.196458
mean_absolute_error
0.226769
mean_absolute_error
0.212893
mean_absolute_error
0.210326
mean_absolute_error
0.206579
mean_absolute_error
0.204444
mean_absolute_error
0.223277
mean_absolute_error
0.225072
mean_absolute_error
0.218198
mean_absolute_error
0.202467
mean_absolute_error
0.20606
mean_absolute_error
0.228798
mean_absolute_error
0.206846
mean_absolute_error
0.211871
mean_absolute_error
0.208615
mean_absolute_error
0.215044
mean_absolute_error
0.203798
mean_absolute_error
0.238036
mean_absolute_error
0.22942
mean_absolute_error
0.20499
mean_absolute_error
0.211185
mean_absolute_error
0.222969
mean_absolute_error
0.213073
mean_absolute_error
0.202627
mean_absolute_error
0.212033
mean_absolute_error
0.206739
mean_absolute_error
0.216793
mean_absolute_error
0.191516
mean_absolute_error
0.224456
mean_absolute_error
0.217345
mean_absolute_error
0.222231
mean_absolute_error
0.187921
mean_absolute_error
0.200835
mean_absolute_error
0.179825
mean_absolute_error
0.206662
mean_absolute_error
0.189491
mean_absolute_error
0.205007
mean_absolute_error
0.21383
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
number_of_instances
457 [343,114]
number_of_instances
457 [343,114]
number_of_instances
457 [343,114]
number_of_instances
457 [343,114]
number_of_instances
457 [343,114]
number_of_instances
457 [343,114]
number_of_instances
457 [343,114]
number_of_instances
457 [343,114]
number_of_instances
457 [343,114]
number_of_instances
457 [343,114]
number_of_instances
457 [343,114]
number_of_instances
457 [343,114]
number_of_instances
457 [343,114]
number_of_instances
457 [343,114]
number_of_instances
457 [343,114]
number_of_instances
457 [343,114]
number_of_instances
457 [343,114]
number_of_instances
457 [343,114]
number_of_instances
457 [343,114]
number_of_instances
457 [343,114]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
precision
0.82225 [0.867036,0.6875]
precision
0.84096 [0.878116,0.729167]
precision
0.818523 [0.872159,0.657143]
precision
0.837257 [0.879552,0.71]
precision
0.825399 [0.861789,0.715909]
precision
0.817494 [0.852941,0.710843]
precision
0.805078 [0.859944,0.64]
precision
0.821265 [0.863014,0.695652]
precision
0.820205 [0.866667,0.680412]
precision
0.847322 [0.875,0.764045]
precision
0.852044 [0.892351,0.730769]
precision
0.803741 [0.850543,0.662921]
precision
0.842556 [0.86631,0.771084]
precision
0.81491 [0.871429,0.64486]
precision
0.806414 [0.852861,0.666667]
precision
0.82225 [0.867036,0.6875]
precision
0.830267 [0.864499,0.727273]
precision
0.830317 [0.854881,0.75641]
precision
0.826449 [0.867769,0.702128]
precision
0.821115 [0.842377,0.757143]
precision
0.816719 [0.847368,0.723684]
precision
0.836277 [0.877437,0.71134]
precision
0.830889 [0.878531,0.686275]
precision
0.811144 [0.857534,0.67033]
precision
0.820294 [0.861035,0.696629]
precision
0.834221 [0.877095,0.704082]
precision
0.8031 [0.850543,0.659091]
precision
0.809668 [0.859116,0.659574]
precision
0.824357 [0.869444,0.6875]
precision
0.847711 [0.883333,0.739583]
precision
0.834803 [0.879213,0.7]
precision
0.834796 [0.86921,0.730337]
precision
0.819905 [0.872521,0.660194]
precision
0.806295 [0.864023,0.631068]
precision
0.815016 [0.863889,0.666667]
precision
0.847381 [0.881215,0.744681]
precision
0.832516 [0.868852,0.722222]
precision
0.798701 [0.864162,0.6]
precision
0.83712 [0.869565,0.738636]
precision
0.841375 [0.888571,0.698113]
precision
0.828084 [0.868132,0.706522]
precision
0.808117 [0.864407,0.637255]
precision
0.824442 [0.875354,0.669903]
precision
0.842134 [0.874317,0.744444]
precision
0.847315 [0.867021,0.7875]
precision
0.823811 [0.867403,0.691489]
precision
0.840927 [0.880223,0.721649]
precision
0.825128 [0.86376,0.707865]
precision
0.807506 [0.851351,0.674419]
precision
0.835246 [0.855643,0.773333]
precision
0.8274 [0.86413,0.715909]
precision
0.871065 [0.897222,0.791667]
precision
0.820294 [0.861035,0.696629]
precision
0.808995 [0.846154,0.696203]
precision
0.805395 [0.861972,0.633663]
precision
0.832802 [0.853403,0.77027]
precision
0.834221 [0.877095,0.704082]
precision
0.843261 [0.888889,0.704762]
precision
0.799008 [0.858757,0.617647]
precision
0.838052 [0.883853,0.699029]
precision
0.834796 [0.86921,0.730337]
precision
0.81354 [0.869318,0.644231]
precision
0.844631 [0.876712,0.747253]
precision
0.815789 [0.877551,0.628319]
precision
0.818369 [0.868347,0.666667]
precision
0.828084 [0.868132,0.706522]
precision
0.828979 [0.878187,0.679612]
precision
0.8322 [0.876751,0.69697]
precision
0.819259 [0.851459,0.721519]
precision
0.8031 [0.850543,0.659091]
precision
0.82254 [0.861413,0.704545]
precision
0.826104 [0.879656,0.663551]
precision
0.834898 [0.85752,0.766234]
precision
0.805282 [0.850949,0.666667]
precision
0.829028 [0.872222,0.697917]
precision
0.819096 [0.864641,0.680851]
precision
0.83837 [0.877778,0.71875]
precision
0.816855 [0.852941,0.707317]
precision
0.817677 [0.866295,0.670103]
precision
0.788673 [0.856322,0.583333]
precision
0.808139 [0.829949,0.741935]
precision
0.821731 [0.867036,0.684211]
precision
0.822249 [0.859459,0.709302]
precision
0.809774 [0.851752,0.682353]
precision
0.834803 [0.879213,0.7]
precision
0.827164 [0.862162,0.72093]
precision
0.829591 [0.874302,0.693878]
precision
0.839457 [0.865952,0.759036]
precision
0.839847 [0.873973,0.736264]
precision
0.856559 [0.882514,0.777778]
precision
0.812671 [0.867232,0.647059]
precision
0.815016 [0.863889,0.666667]
precision
0.810627 [0.855586,0.674157]
precision
0.849415 [0.879452,0.758242]
precision
0.830279 [0.868493,0.714286]
precision
0.850877 [0.900875,0.699115]
precision
0.840524 [0.858268,0.786667]
precision
0.8638 [0.885559,0.797753]
precision
0.826423 [0.869806,0.694737]
precision
0.831115 [0.872576,0.705263]
predictive_accuracy
0.829322
predictive_accuracy
0.846827
predictive_accuracy
0.822757
predictive_accuracy
0.842451
predictive_accuracy
0.833698
predictive_accuracy
0.827133
predictive_accuracy
0.811816
predictive_accuracy
0.829322
predictive_accuracy
0.827133
predictive_accuracy
0.853392
predictive_accuracy
0.85558
predictive_accuracy
0.814004
predictive_accuracy
0.849015
predictive_accuracy
0.818381
predictive_accuracy
0.816193
predictive_accuracy
0.829322
predictive_accuracy
0.838074
predictive_accuracy
0.838074
predictive_accuracy
0.833698
predictive_accuracy
0.829322
predictive_accuracy
0.826754
predictive_accuracy
0.842105
predictive_accuracy
0.835526
predictive_accuracy
0.820175
predictive_accuracy
0.828947
predictive_accuracy
0.839912
predictive_accuracy
0.813596
predictive_accuracy
0.817982
predictive_accuracy
0.83114
predictive_accuracy
0.85307
predictive_accuracy
0.839912
predictive_accuracy
0.842105
predictive_accuracy
0.824561
predictive_accuracy
0.811404
predictive_accuracy
0.822368
predictive_accuracy
0.85307
predictive_accuracy
0.839912
predictive_accuracy
0.800439
predictive_accuracy
0.844298
predictive_accuracy
0.844298
predictive_accuracy
0.835526
predictive_accuracy
0.813596
predictive_accuracy
0.828947
predictive_accuracy
0.848684
predictive_accuracy
0.85307
predictive_accuracy
0.83114
predictive_accuracy
0.846491
predictive_accuracy
0.833333
predictive_accuracy
0.817982
predictive_accuracy
0.842105
predictive_accuracy
0.835526
predictive_accuracy
0.875
predictive_accuracy
0.828947
predictive_accuracy
0.820175
predictive_accuracy
0.811404
predictive_accuracy
0.839912
predictive_accuracy
0.839912
predictive_accuracy
0.846491
predictive_accuracy
0.804825
predictive_accuracy
0.842105
predictive_accuracy
0.842105
predictive_accuracy
0.817982
predictive_accuracy
0.850877
predictive_accuracy
0.815789
predictive_accuracy
0.824561
predictive_accuracy
0.835526
predictive_accuracy
0.833333
predictive_accuracy
0.837719
predictive_accuracy
0.828947
predictive_accuracy
0.813596
predictive_accuracy
0.83114
predictive_accuracy
0.828947
predictive_accuracy
0.842105
predictive_accuracy
0.815789
predictive_accuracy
0.835526
predictive_accuracy
0.826754
predictive_accuracy
0.844298
predictive_accuracy
0.826754
predictive_accuracy
0.824561
predictive_accuracy
0.791667
predictive_accuracy
0.817982
predictive_accuracy
0.828947
predictive_accuracy
0.83114
predictive_accuracy
0.820175
predictive_accuracy
0.839912
predictive_accuracy
0.835526
predictive_accuracy
0.835526
predictive_accuracy
0.846491
predictive_accuracy
0.846491
predictive_accuracy
0.861842
predictive_accuracy
0.817982
predictive_accuracy
0.822368
predictive_accuracy
0.820175
predictive_accuracy
0.855263
predictive_accuracy
0.837719
predictive_accuracy
0.850877
predictive_accuracy
0.846491
predictive_accuracy
0.868421
predictive_accuracy
0.833333
predictive_accuracy
0.837719
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
recall
0.829322 [0.912536,0.578947]
recall
0.846827 [0.924198,0.614035]
recall
0.822757 [0.895044,0.605263]
recall
0.842451 [0.915452,0.622807]
recall
0.833698 [0.927114,0.552632]
recall
0.827133 [0.930029,0.517544]
recall
0.811816 [0.895044,0.561404]
recall
0.829322 [0.918367,0.561404]
recall
0.827133 [0.909621,0.578947]
recall
0.853392 [0.938776,0.596491]
recall
0.85558 [0.918367,0.666667]
recall
0.814004 [0.912536,0.517544]
recall
0.849015 [0.944606,0.561404]
recall
0.818381 [0.889213,0.605263]
recall
0.816193 [0.912536,0.526316]
recall
0.829322 [0.912536,0.578947]
recall
0.838074 [0.930029,0.561404]
recall
0.838074 [0.944606,0.517544]
recall
0.833698 [0.918367,0.578947]
recall
0.829322 [0.950437,0.464912]
recall
0.826754 [0.938776,0.486726]
recall
0.842105 [0.918367,0.610619]
recall
0.835526 [0.906706,0.619469]
recall
0.820175 [0.912536,0.539823]
recall
0.828947 [0.921283,0.548673]
recall
0.839912 [0.915452,0.610619]
recall
0.813596 [0.912536,0.513274]
recall
0.817982 [0.906706,0.548673]
recall
0.83114 [0.912536,0.584071]
recall
0.85307 [0.927114,0.628319]
recall
0.839912 [0.912536,0.619469]
recall
0.842105 [0.930029,0.575221]
recall
0.824561 [0.897959,0.60177]
recall
0.811404 [0.889213,0.575221]
recall
0.822368 [0.906706,0.566372]
recall
0.85307 [0.930029,0.619469]
recall
0.839912 [0.927114,0.575221]
recall
0.800439 [0.87172,0.584071]
recall
0.844298 [0.932945,0.575221]
recall
0.844298 [0.906706,0.654867]
recall
0.835526 [0.921283,0.575221]
recall
0.813596 [0.892128,0.575221]
recall
0.828947 [0.900875,0.610619]
recall
0.848684 [0.932945,0.59292]
recall
0.85307 [0.950437,0.557522]
recall
0.83114 [0.915452,0.575221]
recall
0.846491 [0.921283,0.619469]
recall
0.833333 [0.924198,0.557522]
recall
0.817982 [0.918367,0.513274]
recall
0.842105 [0.950437,0.513274]
recall
0.835526 [0.927114,0.557522]
recall
0.875 [0.941691,0.672566]
recall
0.828947 [0.921283,0.548673]
recall
0.820175 [0.930029,0.486726]
recall
0.811404 [0.892128,0.566372]
recall
0.839912 [0.950437,0.504425]
recall
0.839912 [0.915452,0.610619]
recall
0.846491 [0.909621,0.654867]
recall
0.804825 [0.886297,0.557522]
recall
0.842105 [0.909621,0.637168]
recall
0.842105 [0.930029,0.575221]
recall
0.817982 [0.892128,0.59292]
recall
0.850877 [0.932945,0.60177]
recall
0.815789 [0.877551,0.628319]
recall
0.824561 [0.90379,0.584071]
recall
0.835526 [0.921283,0.575221]
recall
0.833333 [0.90379,0.619469]
recall
0.837719 [0.912536,0.610619]
recall
0.828947 [0.93586,0.504425]
recall
0.813596 [0.912536,0.513274]
recall
0.83114 [0.924198,0.548673]
recall
0.828947 [0.895044,0.628319]
recall
0.842105 [0.947522,0.522124]
recall
0.815789 [0.915452,0.513274]
recall
0.835526 [0.915452,0.59292]
recall
0.826754 [0.912536,0.566372]
recall
0.844298 [0.921283,0.610619]
recall
0.826754 [0.930029,0.513274]
recall
0.824561 [0.906706,0.575221]
recall
0.791667 [0.868805,0.557522]
recall
0.817982 [0.953353,0.40708]
recall
0.828947 [0.912536,0.575221]
recall
0.83114 [0.927114,0.539823]
recall
0.820175 [0.921283,0.513274]
recall
0.839912 [0.912536,0.619469]
recall
0.835526 [0.930029,0.548673]
recall
0.835526 [0.912536,0.60177]
recall
0.846491 [0.941691,0.557522]
recall
0.846491 [0.930029,0.59292]
recall
0.861842 [0.941691,0.619469]
recall
0.817982 [0.895044,0.584071]
recall
0.822368 [0.906706,0.566372]
recall
0.820175 [0.915452,0.530973]
recall
0.855263 [0.93586,0.610619]
recall
0.837719 [0.924198,0.575221]
recall
0.850877 [0.900875,0.699115]
recall
0.846491 [0.953353,0.522124]
recall
0.868421 [0.947522,0.628319]
recall
0.833333 [0.915452,0.584071]
recall
0.837719 [0.918367,0.59292]
relative_absolute_error
0.555561
relative_absolute_error
0.52832
relative_absolute_error
0.576828
relative_absolute_error
0.538131
relative_absolute_error
0.56174
relative_absolute_error
0.580498
relative_absolute_error
0.592771
relative_absolute_error
0.579761
relative_absolute_error
0.584157
relative_absolute_error
0.549622
relative_absolute_error
0.52354
relative_absolute_error
0.587071
relative_absolute_error
0.579036
relative_absolute_error
0.575195
relative_absolute_error
0.598741
relative_absolute_error
0.576526
relative_absolute_error
0.574074
relative_absolute_error
0.573737
relative_absolute_error
0.55768
relative_absolute_error
0.590739
relative_absolute_error
0.596323
relative_absolute_error
0.53906
relative_absolute_error
0.567337
relative_absolute_error
0.565838
relative_absolute_error
0.56344
relative_absolute_error
0.569294
relative_absolute_error
0.609353
relative_absolute_error
0.588917
relative_absolute_error
0.562862
relative_absolute_error
0.525898
relative_absolute_error
0.540114
relative_absolute_error
0.547648
relative_absolute_error
0.546183
relative_absolute_error
0.595209
relative_absolute_error
0.589755
relative_absolute_error
0.525884
relative_absolute_error
0.583001
relative_absolute_error
0.635377
relative_absolute_error
0.546245
relative_absolute_error
0.534967
relative_absolute_error
0.589191
relative_absolute_error
0.603088
relative_absolute_error
0.556807
relative_absolute_error
0.508342
relative_absolute_error
0.537407
relative_absolute_error
0.538794
relative_absolute_error
0.550222
relative_absolute_error
0.528747
relative_absolute_error
0.592723
relative_absolute_error
0.54984
relative_absolute_error
0.55245
relative_absolute_error
0.514944
relative_absolute_error
0.571654
relative_absolute_error
0.570129
relative_absolute_error
0.614403
relative_absolute_error
0.597953
relative_absolute_error
0.540037
relative_absolute_error
0.543233
relative_absolute_error
0.595376
relative_absolute_error
0.544462
relative_absolute_error
0.556579
relative_absolute_error
0.591323
relative_absolute_error
0.526668
relative_absolute_error
0.607927
relative_absolute_error
0.570728
relative_absolute_error
0.563847
relative_absolute_error
0.553801
relative_absolute_error
0.548077
relative_absolute_error
0.598566
relative_absolute_error
0.603379
relative_absolute_error
0.584951
relative_absolute_error
0.542779
relative_absolute_error
0.55241
relative_absolute_error
0.613368
relative_absolute_error
0.554517
relative_absolute_error
0.567989
relative_absolute_error
0.559262
relative_absolute_error
0.576495
relative_absolute_error
0.546348
relative_absolute_error
0.638134
relative_absolute_error
0.615034
relative_absolute_error
0.549542
relative_absolute_error
0.566151
relative_absolute_error
0.59774
relative_absolute_error
0.571212
relative_absolute_error
0.543208
relative_absolute_error
0.568423
relative_absolute_error
0.55423
relative_absolute_error
0.581184
relative_absolute_error
0.513421
relative_absolute_error
0.601728
relative_absolute_error
0.582665
relative_absolute_error
0.595761
relative_absolute_error
0.503785
relative_absolute_error
0.538403
relative_absolute_error
0.48208
relative_absolute_error
0.554025
relative_absolute_error
0.507991
relative_absolute_error
0.549588
relative_absolute_error
0.573241
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_squared_error
0.371063
root_mean_squared_error
0.349606
root_mean_squared_error
0.363859
root_mean_squared_error
0.35392
root_mean_squared_error
0.365957
root_mean_squared_error
0.372614
root_mean_squared_error
0.387763
root_mean_squared_error
0.37546
root_mean_squared_error
0.373213
root_mean_squared_error
0.34429
root_mean_squared_error
0.341678
root_mean_squared_error
0.383326
root_mean_squared_error
0.351135
root_mean_squared_error
0.372536
root_mean_squared_error
0.378927
root_mean_squared_error
0.37459
root_mean_squared_error
0.36001
root_mean_squared_error
0.357693
root_mean_squared_error
0.360299
root_mean_squared_error
0.376845
root_mean_squared_error
0.37484
root_mean_squared_error
0.356564
root_mean_squared_error
0.356134
root_mean_squared_error
0.378281
root_mean_squared_error
0.366192
root_mean_squared_error
0.356207
root_mean_squared_error
0.377918
root_mean_squared_error
0.381264
root_mean_squared_error
0.36548
root_mean_squared_error
0.341371
root_mean_squared_error
0.348945
root_mean_squared_error
0.34793
root_mean_squared_error
0.365336
root_mean_squared_error
0.377251
root_mean_squared_error
0.37226
root_mean_squared_error
0.343862
root_mean_squared_error
0.360922
root_mean_squared_error
0.397815
root_mean_squared_error
0.345882
root_mean_squared_error
0.351299
root_mean_squared_error
0.353662
root_mean_squared_error
0.373895
root_mean_squared_error
0.360957
root_mean_squared_error
0.342339
root_mean_squared_error
0.334508
root_mean_squared_error
0.352922
root_mean_squared_error
0.353558
root_mean_squared_error
0.351239
root_mean_squared_error
0.38036
root_mean_squared_error
0.35995
root_mean_squared_error
0.352742
root_mean_squared_error
0.326703
root_mean_squared_error
0.362543
root_mean_squared_error
0.3712
root_mean_squared_error
0.389728
root_mean_squared_error
0.358172
root_mean_squared_error
0.353205
root_mean_squared_error
0.350297
root_mean_squared_error
0.388282
root_mean_squared_error
0.363144
root_mean_squared_error
0.352815
root_mean_squared_error
0.364346
root_mean_squared_error
0.342835
root_mean_squared_error
0.384739
root_mean_squared_error
0.3681
root_mean_squared_error
0.361755
root_mean_squared_error
0.352595
root_mean_squared_error
0.355543
root_mean_squared_error
0.366885
root_mean_squared_error
0.381147
root_mean_squared_error
0.370716
root_mean_squared_error
0.36826
root_mean_squared_error
0.345416
root_mean_squared_error
0.372543
root_mean_squared_error
0.347666
root_mean_squared_error
0.371598
root_mean_squared_error
0.355123
root_mean_squared_error
0.358515
root_mean_squared_error
0.358187
root_mean_squared_error
0.399208
root_mean_squared_error
0.37181
root_mean_squared_error
0.365488
root_mean_squared_error
0.367462
root_mean_squared_error
0.37201
root_mean_squared_error
0.361087
root_mean_squared_error
0.35529
root_mean_squared_error
0.360996
root_mean_squared_error
0.352056
root_mean_squared_error
0.356282
root_mean_squared_error
0.327651
root_mean_squared_error
0.367783
root_mean_squared_error
0.372685
root_mean_squared_error
0.374758
root_mean_squared_error
0.339955
root_mean_squared_error
0.35168
root_mean_squared_error
0.332711
root_mean_squared_error
0.35136
root_mean_squared_error
0.339566
root_mean_squared_error
0.350154
root_mean_squared_error
0.365384
root_relative_squared_error
0.857557
root_relative_squared_error
0.807967
root_relative_squared_error
0.840908
root_relative_squared_error
0.817937
root_relative_squared_error
0.845756
root_relative_squared_error
0.861141
root_relative_squared_error
0.896152
root_relative_squared_error
0.867719
root_relative_squared_error
0.862525
root_relative_squared_error
0.795681
root_relative_squared_error
0.789645
root_relative_squared_error
0.885896
root_relative_squared_error
0.811502
root_relative_squared_error
0.86096
root_relative_squared_error
0.87573
root_relative_squared_error
0.865708
root_relative_squared_error
0.832012
root_relative_squared_error
0.826656
root_relative_squared_error
0.832681
root_relative_squared_error
0.870918
root_relative_squared_error
0.868208
root_relative_squared_error
0.825878
root_relative_squared_error
0.824881
root_relative_squared_error
0.87618
root_relative_squared_error
0.848178
root_relative_squared_error
0.825051
root_relative_squared_error
0.875338
root_relative_squared_error
0.883089
root_relative_squared_error
0.846529
root_relative_squared_error
0.790687
root_relative_squared_error
0.808231
root_relative_squared_error
0.805881
root_relative_squared_error
0.846195
root_relative_squared_error
0.873793
root_relative_squared_error
0.862233
root_relative_squared_error
0.796457
root_relative_squared_error
0.835971
root_relative_squared_error
0.921424
root_relative_squared_error
0.801136
root_relative_squared_error
0.813682
root_relative_squared_error
0.819156
root_relative_squared_error
0.86602
root_relative_squared_error
0.836054
root_relative_squared_error
0.79293
root_relative_squared_error
0.774792
root_relative_squared_error
0.817442
root_relative_squared_error
0.818914
root_relative_squared_error
0.813544
root_relative_squared_error
0.880994
root_relative_squared_error
0.833722
root_relative_squared_error
0.817024
root_relative_squared_error
0.756713
root_relative_squared_error
0.839726
root_relative_squared_error
0.859777
root_relative_squared_error
0.902694
root_relative_squared_error
0.829601
root_relative_squared_error
0.818098
root_relative_squared_error
0.811362
root_relative_squared_error
0.899343
root_relative_squared_error
0.84112
root_relative_squared_error
0.817195
root_relative_squared_error
0.843904
root_relative_squared_error
0.794078
root_relative_squared_error
0.891136
root_relative_squared_error
0.852599
root_relative_squared_error
0.837901
root_relative_squared_error
0.816685
root_relative_squared_error
0.823513
root_relative_squared_error
0.849783
root_relative_squared_error
0.882817
root_relative_squared_error
0.858658
root_relative_squared_error
0.852969
root_relative_squared_error
0.800056
root_relative_squared_error
0.86289
root_relative_squared_error
0.805268
root_relative_squared_error
0.860701
root_relative_squared_error
0.822539
root_relative_squared_error
0.830396
root_relative_squared_error
0.829636
root_relative_squared_error
0.924651
root_relative_squared_error
0.86119
root_relative_squared_error
0.846549
root_relative_squared_error
0.85112
root_relative_squared_error
0.861654
root_relative_squared_error
0.836355
root_relative_squared_error
0.822926
root_relative_squared_error
0.836144
root_relative_squared_error
0.815437
root_relative_squared_error
0.825226
root_relative_squared_error
0.758909
root_relative_squared_error
0.851863
root_relative_squared_error
0.863217
root_relative_squared_error
0.86802
root_relative_squared_error
0.787408
root_relative_squared_error
0.814565
root_relative_squared_error
0.770628
root_relative_squared_error
0.813824
root_relative_squared_error
0.786508
root_relative_squared_error
0.811031
root_relative_squared_error
0.846307
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
500
usercpu_time_millis
500
usercpu_time_millis
480
usercpu_time_millis
500
usercpu_time_millis
490
usercpu_time_millis
480
usercpu_time_millis
470
usercpu_time_millis
480
usercpu_time_millis
490
usercpu_time_millis
480
usercpu_time_millis
510
usercpu_time_millis
480
usercpu_time_millis
520
usercpu_time_millis
520
usercpu_time_millis
530
usercpu_time_millis
500
usercpu_time_millis
480
usercpu_time_millis
490
usercpu_time_millis
500
usercpu_time_millis
480
usercpu_time_millis
510
usercpu_time_millis
530
usercpu_time_millis
510
usercpu_time_millis
470
usercpu_time_millis
470
usercpu_time_millis
460
usercpu_time_millis
480
usercpu_time_millis
480
usercpu_time_millis
490
usercpu_time_millis
490
usercpu_time_millis
530
usercpu_time_millis
510
usercpu_time_millis
510
usercpu_time_millis
500
usercpu_time_millis
470
usercpu_time_millis
470
usercpu_time_millis
470
usercpu_time_millis
470
usercpu_time_millis
470
usercpu_time_millis
470
usercpu_time_millis
500
usercpu_time_millis
530
usercpu_time_millis
450
usercpu_time_millis
470
usercpu_time_millis
510
usercpu_time_millis
470
usercpu_time_millis
450
usercpu_time_millis
490
usercpu_time_millis
500
usercpu_time_millis
480
usercpu_time_millis
520
usercpu_time_millis
550
usercpu_time_millis
480
usercpu_time_millis
470
usercpu_time_millis
480
usercpu_time_millis
470
usercpu_time_millis
490
usercpu_time_millis
470
usercpu_time_millis
500
usercpu_time_millis
490
usercpu_time_millis
490
usercpu_time_millis
520
usercpu_time_millis
500
usercpu_time_millis
490
usercpu_time_millis
470
usercpu_time_millis
510
usercpu_time_millis
470
usercpu_time_millis
480
usercpu_time_millis
480
usercpu_time_millis
480
usercpu_time_millis
490
usercpu_time_millis
540
usercpu_time_millis
530
usercpu_time_millis
490
usercpu_time_millis
450
usercpu_time_millis
460
usercpu_time_millis
490
usercpu_time_millis
490
usercpu_time_millis
510
usercpu_time_millis
500
usercpu_time_millis
470
usercpu_time_millis
480
usercpu_time_millis
490
usercpu_time_millis
470
usercpu_time_millis
480
usercpu_time_millis
510
usercpu_time_millis
520
usercpu_time_millis
460
usercpu_time_millis
450
usercpu_time_millis
520
usercpu_time_millis
480
usercpu_time_millis
500
usercpu_time_millis
520
usercpu_time_millis
510
usercpu_time_millis
460
usercpu_time_millis
450
usercpu_time_millis
470
usercpu_time_millis
500
usercpu_time_millis
450
usercpu_time_millis
470
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
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
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
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
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_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
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
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
10
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
10
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
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
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
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_training
490
usercpu_time_millis_training
500
usercpu_time_millis_training
470
usercpu_time_millis_training
490
usercpu_time_millis_training
490
usercpu_time_millis_training
480
usercpu_time_millis_training
460
usercpu_time_millis_training
480
usercpu_time_millis_training
490
usercpu_time_millis_training
480
usercpu_time_millis_training
510
usercpu_time_millis_training
480
usercpu_time_millis_training
520
usercpu_time_millis_training
520
usercpu_time_millis_training
530
usercpu_time_millis_training
490
usercpu_time_millis_training
480
usercpu_time_millis_training
490
usercpu_time_millis_training
500
usercpu_time_millis_training
470
usercpu_time_millis_training
500
usercpu_time_millis_training
520
usercpu_time_millis_training
510
usercpu_time_millis_training
470
usercpu_time_millis_training
470
usercpu_time_millis_training
460
usercpu_time_millis_training
470
usercpu_time_millis_training
470
usercpu_time_millis_training
490
usercpu_time_millis_training
480
usercpu_time_millis_training
530
usercpu_time_millis_training
510
usercpu_time_millis_training
500
usercpu_time_millis_training
500
usercpu_time_millis_training
470
usercpu_time_millis_training
470
usercpu_time_millis_training
460
usercpu_time_millis_training
460
usercpu_time_millis_training
470
usercpu_time_millis_training
470
usercpu_time_millis_training
490
usercpu_time_millis_training
530
usercpu_time_millis_training
440
usercpu_time_millis_training
470
usercpu_time_millis_training
500
usercpu_time_millis_training
470
usercpu_time_millis_training
450
usercpu_time_millis_training
490
usercpu_time_millis_training
500
usercpu_time_millis_training
470
usercpu_time_millis_training
520
usercpu_time_millis_training
540
usercpu_time_millis_training
480
usercpu_time_millis_training
460
usercpu_time_millis_training
480
usercpu_time_millis_training
470
usercpu_time_millis_training
490
usercpu_time_millis_training
460
usercpu_time_millis_training
500
usercpu_time_millis_training
490
usercpu_time_millis_training
480
usercpu_time_millis_training
510
usercpu_time_millis_training
490
usercpu_time_millis_training
480
usercpu_time_millis_training
470
usercpu_time_millis_training
510
usercpu_time_millis_training
460
usercpu_time_millis_training
470
usercpu_time_millis_training
470
usercpu_time_millis_training
470
usercpu_time_millis_training
490
usercpu_time_millis_training
540
usercpu_time_millis_training
530
usercpu_time_millis_training
480
usercpu_time_millis_training
450
usercpu_time_millis_training
460
usercpu_time_millis_training
480
usercpu_time_millis_training
490
usercpu_time_millis_training
510
usercpu_time_millis_training
490
usercpu_time_millis_training
470
usercpu_time_millis_training
470
usercpu_time_millis_training
490
usercpu_time_millis_training
470
usercpu_time_millis_training
480
usercpu_time_millis_training
500
usercpu_time_millis_training
510
usercpu_time_millis_training
460
usercpu_time_millis_training
450
usercpu_time_millis_training
510
usercpu_time_millis_training
480
usercpu_time_millis_training
500
usercpu_time_millis_training
510
usercpu_time_millis_training
510
usercpu_time_millis_training
460
usercpu_time_millis_training
450
usercpu_time_millis_training
460
usercpu_time_millis_training
500
usercpu_time_millis_training
440
usercpu_time_millis_training
470