211280
2
Joaquin Vanschoren
4291
Supervised Classification
predictive_accuracy
1183
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48(3)
2031
weka.classifiers.meta.AttributeSelectedClassifier -- -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W weka.classifiers.trees.J48 -- -C 0.25 -M 2
C
0.25
1068
M
2
1068
D
1
1097
N
5
1097
E
weka.attributeSelection.CfsSubsetEval
1183
S
weka.attributeSelection.BestFirst
1183
W
weka.classifiers.trees.J48
1183
P
1
1184
E
1
1184
weka
weka_3.7.12
720
abalone
https://www.openml.org/data/download/53254/abalone.arff
-1
702427
description
https://api.openml.org/data/download/702427/weka_generated_run1127582710698048155.xml
-1
702430
model_readable
https://api.openml.org/data/download/702430/WekaModel_weka.classifiers.meta.AttributeSelectedClassifier3297096833337206087.model
-1
702429
model_serialized
https://api.openml.org/data/download/702429/WekaSerialized_weka.classifiers.meta.AttributeSelectedClassifier1940373079592948993.model
-1
702428
predictions
https://api.openml.org/data/download/702428/weka_generated_predictions1179333747174961193.arff
area_under_roc_curve
0.812589 [0.812589,0.812589]
average_cost
0
f_measure
0.761727 [0.759038,0.764434]
kappa
0.523579
kb_relative_information_score
15778.198001
mean_absolute_error
0.328442
mean_prior_absolute_error
0.499994
number_of_instances
41770 [20960,20810]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.762025 [0.770664,0.753324]
predictive_accuracy
0.761767
prior_entropy
0.999991
recall
0.761767 [0.747758,0.775877]
relative_absolute_error
0.656893
root_mean_prior_squared_error
0.499997
root_mean_squared_error
0.412985
root_relative_squared_error
0.825975
scimark_benchmark
939.520536 [556.1991982197794, 1012.0561783624415, 484.10363182779514, 907.0726314340118, 1738.1710384960516]
total_cost
0
usercpu_time_millis
40
usercpu_time_millis_testing
0
usercpu_time_millis_training
40
area_under_roc_curve
0.833955 [0.833955,0.833955]
area_under_roc_curve
0.802862 [0.802862,0.802862]
area_under_roc_curve
0.790756 [0.790756,0.790756]
area_under_roc_curve
0.810119 [0.810119,0.810119]
area_under_roc_curve
0.819601 [0.819601,0.819601]
area_under_roc_curve
0.810696 [0.810696,0.810696]
area_under_roc_curve
0.807605 [0.807605,0.807605]
area_under_roc_curve
0.821772 [0.821772,0.821772]
area_under_roc_curve
0.825141 [0.825141,0.825141]
area_under_roc_curve
0.832799 [0.832799,0.832799]
area_under_roc_curve
0.775721 [0.775721,0.775721]
area_under_roc_curve
0.814812 [0.814812,0.814812]
area_under_roc_curve
0.778468 [0.778468,0.778468]
area_under_roc_curve
0.867468 [0.867468,0.867468]
area_under_roc_curve
0.78149 [0.78149,0.78149]
area_under_roc_curve
0.79707 [0.79707,0.79707]
area_under_roc_curve
0.798958 [0.798958,0.798958]
area_under_roc_curve
0.787821 [0.787821,0.787821]
area_under_roc_curve
0.800366 [0.800366,0.800366]
area_under_roc_curve
0.795066 [0.795066,0.795066]
area_under_roc_curve
0.876935 [0.876935,0.876935]
area_under_roc_curve
0.85823 [0.85823,0.85823]
area_under_roc_curve
0.828251 [0.828251,0.828251]
area_under_roc_curve
0.806834 [0.806834,0.806834]
area_under_roc_curve
0.78331 [0.78331,0.78331]
area_under_roc_curve
0.773672 [0.773672,0.773672]
area_under_roc_curve
0.85957 [0.85957,0.85957]
area_under_roc_curve
0.79138 [0.79138,0.79138]
area_under_roc_curve
0.824325 [0.824325,0.824325]
area_under_roc_curve
0.805838 [0.805838,0.805838]
area_under_roc_curve
0.777804 [0.777804,0.777804]
area_under_roc_curve
0.774748 [0.774748,0.774748]
area_under_roc_curve
0.805975 [0.805975,0.805975]
area_under_roc_curve
0.77579 [0.77579,0.77579]
area_under_roc_curve
0.823672 [0.823672,0.823672]
area_under_roc_curve
0.807658 [0.807658,0.807658]
area_under_roc_curve
0.773203 [0.773203,0.773203]
area_under_roc_curve
0.796772 [0.796772,0.796772]
area_under_roc_curve
0.782097 [0.782097,0.782097]
area_under_roc_curve
0.831342 [0.831342,0.831342]
area_under_roc_curve
0.783986 [0.783986,0.783986]
area_under_roc_curve
0.774599 [0.774599,0.774599]
area_under_roc_curve
0.800904 [0.800904,0.800904]
area_under_roc_curve
0.778606 [0.778606,0.778606]
area_under_roc_curve
0.804808 [0.804808,0.804808]
area_under_roc_curve
0.802541 [0.802541,0.802541]
area_under_roc_curve
0.820845 [0.820845,0.820845]
area_under_roc_curve
0.812477 [0.812477,0.812477]
area_under_roc_curve
0.828663 [0.828663,0.828663]
area_under_roc_curve
0.825561 [0.825561,0.825561]
area_under_roc_curve
0.805872 [0.805872,0.805872]
area_under_roc_curve
0.825435 [0.825435,0.825435]
area_under_roc_curve
0.816724 [0.816724,0.816724]
area_under_roc_curve
0.810668 [0.810668,0.810668]
area_under_roc_curve
0.802473 [0.802473,0.802473]
area_under_roc_curve
0.834398 [0.834398,0.834398]
area_under_roc_curve
0.80981 [0.80981,0.80981]
area_under_roc_curve
0.802484 [0.802484,0.802484]
area_under_roc_curve
0.77263 [0.77263,0.77263]
area_under_roc_curve
0.77888 [0.77888,0.77888]
area_under_roc_curve
0.812489 [0.812489,0.812489]
area_under_roc_curve
0.795231 [0.795231,0.795231]
area_under_roc_curve
0.85372 [0.85372,0.85372]
area_under_roc_curve
0.788501 [0.788501,0.788501]
area_under_roc_curve
0.834444 [0.834444,0.834444]
area_under_roc_curve
0.832131 [0.832131,0.832131]
area_under_roc_curve
0.766186 [0.766186,0.766186]
area_under_roc_curve
0.797212 [0.797212,0.797212]
area_under_roc_curve
0.842273 [0.842273,0.842273]
area_under_roc_curve
0.787901 [0.787901,0.787901]
area_under_roc_curve
0.818538 [0.818538,0.818538]
area_under_roc_curve
0.795052 [0.795052,0.795052]
area_under_roc_curve
0.849627 [0.849627,0.849627]
area_under_roc_curve
0.78125 [0.78125,0.78125]
area_under_roc_curve
0.804449 [0.804449,0.804449]
area_under_roc_curve
0.829212 [0.829212,0.829212]
area_under_roc_curve
0.8053 [0.8053,0.8053]
area_under_roc_curve
0.84084 [0.84084,0.84084]
area_under_roc_curve
0.80691 [0.80691,0.80691]
area_under_roc_curve
0.834664 [0.834664,0.834664]
area_under_roc_curve
0.848581 [0.848581,0.848581]
area_under_roc_curve
0.842715 [0.842715,0.842715]
area_under_roc_curve
0.792625 [0.792625,0.792625]
area_under_roc_curve
0.795466 [0.795466,0.795466]
area_under_roc_curve
0.811764 [0.811764,0.811764]
area_under_roc_curve
0.824899 [0.824899,0.824899]
area_under_roc_curve
0.786403 [0.786403,0.786403]
area_under_roc_curve
0.790497 [0.790497,0.790497]
area_under_roc_curve
0.79626 [0.79626,0.79626]
area_under_roc_curve
0.764124 [0.764124,0.764124]
area_under_roc_curve
0.785575 [0.785575,0.785575]
area_under_roc_curve
0.779214 [0.779214,0.779214]
area_under_roc_curve
0.792798 [0.792798,0.792798]
area_under_roc_curve
0.798664 [0.798664,0.798664]
area_under_roc_curve
0.807324 [0.807324,0.807324]
area_under_roc_curve
0.837298 [0.837298,0.837298]
area_under_roc_curve
0.834227 [0.834227,0.834227]
area_under_roc_curve
0.820701 [0.820701,0.820701]
area_under_roc_curve
0.811856 [0.811856,0.811856]
area_under_roc_curve
0.807037 [0.807037,0.807037]
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
0.777358 [0.771499,0.783217]
f_measure
0.749995 [0.733333,0.766816]
f_measure
0.746266 [0.740196,0.752336]
f_measure
0.748661 [0.755245,0.742015]
f_measure
0.772507 [0.765432,0.779582]
f_measure
0.770251 [0.765854,0.774648]
f_measure
0.765012 [0.753769,0.776256]
f_measure
0.77023 [0.775701,0.764706]
f_measure
0.772726 [0.772182,0.77327]
f_measure
0.784447 [0.777228,0.791667]
f_measure
0.72966 [0.731591,0.727711]
f_measure
0.777263 [0.77037,0.784223]
f_measure
0.72966 [0.729017,0.73031]
f_measure
0.801364 [0.798054,0.804706]
f_measure
0.758325 [0.762353,0.754258]
f_measure
0.748782 [0.746988,0.750594]
f_measure
0.758352 [0.756627,0.760095]
f_measure
0.72927 [0.719603,0.73903]
f_measure
0.755107 [0.741117,0.769231]
f_measure
0.741556 [0.737864,0.745283]
f_measure
0.818182 [0.818182,0.818182]
f_measure
0.808604 [0.810427,0.806763]
f_measure
0.791696 [0.798144,0.785185]
f_measure
0.77023 [0.765854,0.774648]
f_measure
0.755746 [0.748768,0.762791]
f_measure
0.71515 [0.709046,0.721311]
f_measure
0.815279 [0.806045,0.824601]
f_measure
0.743545 [0.733167,0.754023]
f_measure
0.758236 [0.753056,0.763466]
f_measure
0.75359 [0.754177,0.752998]
f_measure
0.738638 [0.726817,0.750572]
f_measure
0.746411 [0.747619,0.745192]
f_measure
0.775851 [0.75718,0.794702]
f_measure
0.717121 [0.705,0.729358]
f_measure
0.7771 [0.787185,0.766917]
f_measure
0.763138 [0.761446,0.764846]
f_measure
0.729642 [0.732861,0.726392]
f_measure
0.755914 [0.752427,0.759434]
f_measure
0.740701 [0.725888,0.755656]
f_measure
0.777432 [0.782201,0.772616]
f_measure
0.736842 [0.736842,0.736842]
f_measure
0.729611 [0.734118,0.725061]
f_measure
0.779844 [0.776699,0.783019]
f_measure
0.758175 [0.751843,0.764569]
f_measure
0.77004 [0.762376,0.777778]
f_measure
0.732045 [0.730769,0.733333]
f_measure
0.772682 [0.776471,0.768856]
f_measure
0.746086 [0.737624,0.75463]
f_measure
0.794249 [0.793269,0.795238]
f_measure
0.779874 [0.783019,0.776699]
f_measure
0.746411 [0.746411,0.746411]
f_measure
0.755947 [0.759434,0.752427]
f_measure
0.774655 [0.765,0.784404]
f_measure
0.770177 [0.776744,0.763547]
f_measure
0.77512 [0.77512,0.77512]
f_measure
0.78677 [0.779156,0.794457]
f_measure
0.753228 [0.744417,0.762125]
f_measure
0.774965 [0.769608,0.780374]
f_measure
0.746295 [0.741463,0.751174]
f_measure
0.758103 [0.750617,0.765661]
f_measure
0.746167 [0.738916,0.753488]
f_measure
0.743689 [0.752887,0.734491]
f_measure
0.789377 [0.785366,0.793427]
f_measure
0.770203 [0.764706,0.775701]
f_measure
0.772598 [0.767726,0.777518]
f_measure
0.784659 [0.787736,0.781553]
f_measure
0.734299 [0.728606,0.740047]
f_measure
0.763048 [0.757946,0.76815]
f_measure
0.770335 [0.770335,0.770335]
f_measure
0.760535 [0.768519,0.752475]
f_measure
0.776886 [0.772616,0.781176]
f_measure
0.762533 [0.759124,0.765957]
f_measure
0.774526 [0.778302,0.770732]
f_measure
0.738374 [0.730864,0.745921]
f_measure
0.757766 [0.755448,0.760095]
f_measure
0.773287 [0.756477,0.790179]
f_measure
0.784173 [0.784689,0.783654]
f_measure
0.796034 [0.791155,0.800937]
f_measure
0.781767 [0.780723,0.782816]
f_measure
0.779369 [0.780952,0.777778]
f_measure
0.781138 [0.76962,0.792711]
f_measure
0.793741 [0.796209,0.791262]
f_measure
0.738525 [0.743529,0.733496]
f_measure
0.740989 [0.73913,0.742857]
f_measure
0.764866 [0.759804,0.769953]
f_measure
0.768987 [0.782805,0.755102]
f_measure
0.745126 [0.732323,0.757991]
f_measure
0.70708 [0.717593,0.696517]
f_measure
0.76729 [0.762836,0.771765]
f_measure
0.724106 [0.718826,0.729412]
f_measure
0.76001 [0.753695,0.766355]
f_measure
0.742953 [0.754023,0.73183]
f_measure
0.740924 [0.736585,0.745283]
f_measure
0.76729 [0.762836,0.771765]
f_measure
0.7506 [0.751196,0.75]
f_measure
0.791235 [0.786241,0.796253]
f_measure
0.755396 [0.755981,0.754808]
f_measure
0.755012 [0.764977,0.745]
f_measure
0.760175 [0.758454,0.761905]
f_measure
0.76015 [0.757282,0.763033]
kappa
0.555024
kappa
0.502722
kappa
0.492823
kappa
0.497493
kappa
0.545455
kappa
0.54067
kappa
0.5311
kappa
0.540575
kappa
0.545455
kappa
0.569378
kappa
0.459305
kappa
0.555166
kappa
0.459355
kappa
0.602944
kappa
0.51668
kappa
0.497654
kappa
0.516791
kappa
0.459528
kappa
0.512241
kappa
0.483336
kappa
0.636372
kappa
0.617199
kappa
0.583618
kappa
0.540764
kappa
0.512107
kappa
0.430752
kappa
0.631764
kappa
0.488249
kappa
0.516857
kappa
0.507177
kappa
0.478708
kappa
0.492811
kappa
0.55539
kappa
0.435652
kappa
0.55484
kappa
0.526359
kappa
0.459281
kappa
0.51204
kappa
0.483549
kappa
0.554942
kappa
0.473696
kappa
0.459256
kappa
0.559879
kappa
0.516879
kappa
0.540828
kappa
0.464152
kappa
0.545392
kappa
0.492997
kappa
0.588545
kappa
0.559758
kappa
0.492835
kappa
0.511906
kappa
0.550435
kappa
0.540554
kappa
0.55025
kappa
0.574319
kappa
0.507357
kappa
0.550352
kappa
0.492927
kappa
0.516901
kappa
0.492974
kappa
0.488038
kappa
0.579034
kappa
0.54067
kappa
0.545559
kappa
0.569329
kappa
0.469021
kappa
0.526316
kappa
0.54068
kappa
0.521389
kappa
0.554
kappa
0.525215
kappa
0.549127
kappa
0.477293
kappa
0.515613
kappa
0.549324
kappa
0.568343
kappa
0.592375
kappa
0.563562
kappa
0.55874
kappa
0.563662
kappa
0.587509
kappa
0.477173
kappa
0.482035
kappa
0.530027
kappa
0.539439
kappa
0.491732
kappa
0.414771
kappa
0.534818
kappa
0.448495
kappa
0.520447
kappa
0.486707
kappa
0.482059
kappa
0.534818
kappa
0.501196
kappa
0.582784
kappa
0.510789
kappa
0.510699
kappa
0.520403
kappa
0.520414
kb_relative_information_score
174.248967
kb_relative_information_score
151.119615
kb_relative_information_score
145.781013
kb_relative_information_score
163.197471
kb_relative_information_score
162.058939
kb_relative_information_score
159.133461
kb_relative_information_score
161.669778
kb_relative_information_score
161.364736
kb_relative_information_score
168.672723
kb_relative_information_score
168.342444
kb_relative_information_score
139.728886
kb_relative_information_score
164.291882
kb_relative_information_score
139.858339
kb_relative_information_score
189.266681
kb_relative_information_score
143.815696
kb_relative_information_score
145.082962
kb_relative_information_score
153.975289
kb_relative_information_score
141.794598
kb_relative_information_score
154.94745
kb_relative_information_score
152.963813
kb_relative_information_score
192.667641
kb_relative_information_score
184.083671
kb_relative_information_score
165.879663
kb_relative_information_score
156.31057
kb_relative_information_score
142.954336
kb_relative_information_score
135.958685
kb_relative_information_score
189.370063
kb_relative_information_score
144.118063
kb_relative_information_score
166.303925
kb_relative_information_score
150.331313
kb_relative_information_score
141.109814
kb_relative_information_score
144.226209
kb_relative_information_score
165.453305
kb_relative_information_score
143.010736
kb_relative_information_score
171.1245
kb_relative_information_score
153.209079
kb_relative_information_score
140.077785
kb_relative_information_score
149.318481
kb_relative_information_score
146.731062
kb_relative_information_score
171.775878
kb_relative_information_score
145.140825
kb_relative_information_score
139.93776
kb_relative_information_score
158.533141
kb_relative_information_score
143.733183
kb_relative_information_score
159.747681
kb_relative_information_score
152.110993
kb_relative_information_score
162.034307
kb_relative_information_score
155.922026
kb_relative_information_score
167.598931
kb_relative_information_score
169.711981
kb_relative_information_score
152.326688
kb_relative_information_score
162.337787
kb_relative_information_score
170.273978
kb_relative_information_score
159.872967
kb_relative_information_score
163.753522
kb_relative_information_score
175.872346
kb_relative_information_score
157.337053
kb_relative_information_score
157.812934
kb_relative_information_score
139.861942
kb_relative_information_score
150.880419
kb_relative_information_score
160.802221
kb_relative_information_score
154.567494
kb_relative_information_score
178.511821
kb_relative_information_score
153.842035
kb_relative_information_score
170.611479
kb_relative_information_score
169.985348
kb_relative_information_score
133.118185
kb_relative_information_score
160.772453
kb_relative_information_score
177.540968
kb_relative_information_score
144.476983
kb_relative_information_score
167.450081
kb_relative_information_score
149.718942
kb_relative_information_score
170.327746
kb_relative_information_score
143.688093
kb_relative_information_score
159.812421
kb_relative_information_score
164.262509
kb_relative_information_score
152.914623
kb_relative_information_score
169.613867
kb_relative_information_score
155.45374
kb_relative_information_score
169.636737
kb_relative_information_score
172.466642
kb_relative_information_score
175.253789
kb_relative_information_score
143.804088
kb_relative_information_score
146.574449
kb_relative_information_score
158.159579
kb_relative_information_score
171.042461
kb_relative_information_score
143.041215
kb_relative_information_score
147.037
kb_relative_information_score
151.503608
kb_relative_information_score
136.509452
kb_relative_information_score
152.084018
kb_relative_information_score
140.644157
kb_relative_information_score
157.326751
kb_relative_information_score
152.573527
kb_relative_information_score
161.503316
kb_relative_information_score
180.465733
kb_relative_information_score
167.095659
kb_relative_information_score
163.101949
kb_relative_information_score
152.413366
kb_relative_information_score
158.359507
mean_absolute_error
0.309398
mean_absolute_error
0.336498
mean_absolute_error
0.340359
mean_absolute_error
0.320405
mean_absolute_error
0.325397
mean_absolute_error
0.328443
mean_absolute_error
0.322504
mean_absolute_error
0.325441
mean_absolute_error
0.314665
mean_absolute_error
0.315963
mean_absolute_error
0.348802
mean_absolute_error
0.32242
mean_absolute_error
0.346917
mean_absolute_error
0.290512
mean_absolute_error
0.347036
mean_absolute_error
0.343976
mean_absolute_error
0.333283
mean_absolute_error
0.34558
mean_absolute_error
0.331993
mean_absolute_error
0.33094
mean_absolute_error
0.289309
mean_absolute_error
0.299009
mean_absolute_error
0.322113
mean_absolute_error
0.33186
mean_absolute_error
0.346134
mean_absolute_error
0.350596
mean_absolute_error
0.295706
mean_absolute_error
0.344691
mean_absolute_error
0.31612
mean_absolute_error
0.337602
mean_absolute_error
0.347502
mean_absolute_error
0.342917
mean_absolute_error
0.321444
mean_absolute_error
0.343105
mean_absolute_error
0.313782
mean_absolute_error
0.332681
mean_absolute_error
0.347679
mean_absolute_error
0.339268
mean_absolute_error
0.342356
mean_absolute_error
0.311849
mean_absolute_error
0.341296
mean_absolute_error
0.348614
mean_absolute_error
0.331369
mean_absolute_error
0.347477
mean_absolute_error
0.325962
mean_absolute_error
0.331462
mean_absolute_error
0.325343
mean_absolute_error
0.328405
mean_absolute_error
0.317396
mean_absolute_error
0.316829
mean_absolute_error
0.334453
mean_absolute_error
0.321778
mean_absolute_error
0.314309
mean_absolute_error
0.326828
mean_absolute_error
0.322353
mean_absolute_error
0.307132
mean_absolute_error
0.327333
mean_absolute_error
0.331963
mean_absolute_error
0.351214
mean_absolute_error
0.33597
mean_absolute_error
0.32395
mean_absolute_error
0.331169
mean_absolute_error
0.304916
mean_absolute_error
0.336753
mean_absolute_error
0.313055
mean_absolute_error
0.316226
mean_absolute_error
0.358638
mean_absolute_error
0.326128
mean_absolute_error
0.30221
mean_absolute_error
0.347376
mean_absolute_error
0.318
mean_absolute_error
0.33811
mean_absolute_error
0.313688
mean_absolute_error
0.343848
mean_absolute_error
0.325906
mean_absolute_error
0.321418
mean_absolute_error
0.337707
mean_absolute_error
0.316726
mean_absolute_error
0.334677
mean_absolute_error
0.31512
mean_absolute_error
0.313011
mean_absolute_error
0.30809
mean_absolute_error
0.344176
mean_absolute_error
0.340784
mean_absolute_error
0.326482
mean_absolute_error
0.310716
mean_absolute_error
0.345575
mean_absolute_error
0.333362
mean_absolute_error
0.338449
mean_absolute_error
0.351802
mean_absolute_error
0.334301
mean_absolute_error
0.348262
mean_absolute_error
0.325097
mean_absolute_error
0.337803
mean_absolute_error
0.322115
mean_absolute_error
0.301177
mean_absolute_error
0.3136
mean_absolute_error
0.31953
mean_absolute_error
0.334217
mean_absolute_error
0.326295
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
number_of_instances
418 [209,209]
number_of_instances
418 [210,208]
number_of_instances
418 [209,209]
number_of_instances
418 [210,208]
number_of_instances
418 [209,209]
number_of_instances
418 [209,209]
number_of_instances
418 [209,209]
number_of_instances
418 [210,208]
number_of_instances
418 [209,209]
number_of_instances
418 [209,209]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [209,209]
number_of_instances
418 [210,208]
number_of_instances
418 [209,209]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [209,209]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
precision
0.778283 [0.792929,0.763636]
precision
0.756648 [0.794444,0.718487]
precision
0.746977 [0.758794,0.73516]
precision
0.749214 [0.739726,0.758794]
precision
0.773787 [0.790816,0.756757]
precision
0.770732 [0.781095,0.760369]
precision
0.768004 [0.793651,0.742358]
precision
0.77069 [0.761468,0.78]
precision
0.772734 [0.774038,0.771429]
precision
0.785972 [0.805128,0.766816]
precision
0.729664 [0.729858,0.729469]
precision
0.779025 [0.8,0.757848]
precision
0.729731 [0.7343,0.725118]
precision
0.802036 [0.81592,0.788018]
precision
0.758494 [0.753488,0.763547]
precision
0.748975 [0.756098,0.741784]
precision
0.758549 [0.765854,0.751174]
precision
0.731299 [0.751295,0.711111]
precision
0.760147 [0.793478,0.726496]
precision
0.742029 [0.752475,0.731481]
precision
0.818219 [0.822115,0.814286]
precision
0.808632 [0.806604,0.81068]
precision
0.792625 [0.778281,0.807107]
precision
0.771008 [0.785,0.756881]
precision
0.757212 [0.77551,0.738739]
precision
0.715981 [0.728643,0.703196]
precision
0.819755 [0.855615,0.78355]
precision
0.746163 [0.769634,0.722467]
precision
0.759152 [0.773869,0.744292]
precision
0.7536 [0.755981,0.751196]
precision
0.741799 [0.767196,0.716157]
precision
0.746411 [0.747619,0.745192]
precision
0.78667 [0.83815,0.734694]
precision
0.719844 [0.742105,0.697368]
precision
0.779275 [0.757709,0.801047]
precision
0.763336 [0.770732,0.755869]
precision
0.729694 [0.7277,0.731707]
precision
0.756401 [0.767327,0.74537]
precision
0.745576 [0.777174,0.713675]
precision
0.777788 [0.769585,0.78607]
precision
0.736876 [0.740385,0.733333]
precision
0.729766 [0.725581,0.73399]
precision
0.780355 [0.792079,0.768519]
precision
0.759448 [0.77665,0.742081]
precision
0.772012 [0.793814,0.75]
precision
0.732167 [0.737864,0.726415]
precision
0.772857 [0.767442,0.778325]
precision
0.747956 [0.768041,0.727679]
precision
0.794385 [0.800971,0.787736]
precision
0.779987 [0.775701,0.784314]
precision
0.746446 [0.75,0.742857]
precision
0.756052 [0.752336,0.759804]
precision
0.777764 [0.805263,0.75]
precision
0.770903 [0.759091,0.782828]
precision
0.775155 [0.778846,0.771429]
precision
0.789075 [0.813472,0.764444]
precision
0.755373 [0.777202,0.733333]
precision
0.776091 [0.792929,0.759091]
precision
0.747035 [0.76,0.733945]
precision
0.759793 [0.779487,0.73991]
precision
0.747603 [0.765306,0.72973]
precision
0.745283 [0.727679,0.762887]
precision
0.790186 [0.805,0.775229]
precision
0.770955 [0.78392,0.757991]
precision
0.773542 [0.788945,0.757991]
precision
0.784774 [0.780374,0.789216]
precision
0.735168 [0.748744,0.721461]
precision
0.763647 [0.775,0.752294]
precision
0.77037 [0.774038,0.766667]
precision
0.761563 [0.747748,0.77551]
precision
0.777518 [0.79,0.764977]
precision
0.762905 [0.772277,0.753488]
precision
0.774792 [0.767442,0.782178]
precision
0.739579 [0.755102,0.723982]
precision
0.757956 [0.764706,0.751174]
precision
0.781284 [0.824859,0.7375]
precision
0.784173 [0.784689,0.783654]
precision
0.797015 [0.813131,0.780822]
precision
0.78184 [0.786408,0.777251]
precision
0.779397 [0.777251,0.781553]
precision
0.785302 [0.817204,0.753247]
precision
0.793864 [0.788732,0.79902]
precision
0.738857 [0.731481,0.746269]
precision
0.741108 [0.746341,0.735849]
precision
0.765626 [0.778894,0.752294]
precision
0.773344 [0.742489,0.804348]
precision
0.748634 [0.775401,0.721739]
precision
0.708327 [0.695067,0.721649]
precision
0.767909 [0.78,0.75576]
precision
0.724668 [0.735,0.714286]
precision
0.76109 [0.77665,0.745455]
precision
0.744984 [0.725664,0.764398]
precision
0.741386 [0.751244,0.731481]
precision
0.767909 [0.78,0.75576]
precision
0.7506 [0.751196,0.75]
precision
0.792206 [0.808081,0.776256]
precision
0.755396 [0.755981,0.754808]
precision
0.756864 [0.737778,0.776042]
precision
0.760299 [0.765854,0.754717]
precision
0.760424 [0.768473,0.752336]
predictive_accuracy
0.777512
predictive_accuracy
0.751196
predictive_accuracy
0.746411
predictive_accuracy
0.748804
predictive_accuracy
0.772727
predictive_accuracy
0.770335
predictive_accuracy
0.76555
predictive_accuracy
0.770335
predictive_accuracy
0.772727
predictive_accuracy
0.784689
predictive_accuracy
0.729665
predictive_accuracy
0.777512
predictive_accuracy
0.729665
predictive_accuracy
0.801435
predictive_accuracy
0.758373
predictive_accuracy
0.748804
predictive_accuracy
0.758373
predictive_accuracy
0.729665
predictive_accuracy
0.755981
predictive_accuracy
0.741627
predictive_accuracy
0.818182
predictive_accuracy
0.808612
predictive_accuracy
0.791866
predictive_accuracy
0.770335
predictive_accuracy
0.755981
predictive_accuracy
0.715311
predictive_accuracy
0.815789
predictive_accuracy
0.744019
predictive_accuracy
0.758373
predictive_accuracy
0.753589
predictive_accuracy
0.739234
predictive_accuracy
0.746411
predictive_accuracy
0.777512
predictive_accuracy
0.717703
predictive_accuracy
0.777512
predictive_accuracy
0.763158
predictive_accuracy
0.729665
predictive_accuracy
0.755981
predictive_accuracy
0.741627
predictive_accuracy
0.777512
predictive_accuracy
0.736842
predictive_accuracy
0.729665
predictive_accuracy
0.779904
predictive_accuracy
0.758373
predictive_accuracy
0.770335
predictive_accuracy
0.732057
predictive_accuracy
0.772727
predictive_accuracy
0.746411
predictive_accuracy
0.794258
predictive_accuracy
0.779904
predictive_accuracy
0.746411
predictive_accuracy
0.755981
predictive_accuracy
0.77512
predictive_accuracy
0.770335
predictive_accuracy
0.77512
predictive_accuracy
0.787081
predictive_accuracy
0.753589
predictive_accuracy
0.77512
predictive_accuracy
0.746411
predictive_accuracy
0.758373
predictive_accuracy
0.746411
predictive_accuracy
0.744019
predictive_accuracy
0.789474
predictive_accuracy
0.770335
predictive_accuracy
0.772727
predictive_accuracy
0.784689
predictive_accuracy
0.73445
predictive_accuracy
0.763158
predictive_accuracy
0.770335
predictive_accuracy
0.760766
predictive_accuracy
0.776978
predictive_accuracy
0.76259
predictive_accuracy
0.77458
predictive_accuracy
0.738609
predictive_accuracy
0.757794
predictive_accuracy
0.77458
predictive_accuracy
0.784173
predictive_accuracy
0.796163
predictive_accuracy
0.781775
predictive_accuracy
0.779376
predictive_accuracy
0.781775
predictive_accuracy
0.793765
predictive_accuracy
0.738609
predictive_accuracy
0.741007
predictive_accuracy
0.764988
predictive_accuracy
0.769784
predictive_accuracy
0.745803
predictive_accuracy
0.707434
predictive_accuracy
0.767386
predictive_accuracy
0.724221
predictive_accuracy
0.760192
predictive_accuracy
0.743405
predictive_accuracy
0.741007
predictive_accuracy
0.767386
predictive_accuracy
0.7506
predictive_accuracy
0.791367
predictive_accuracy
0.755396
predictive_accuracy
0.755396
predictive_accuracy
0.760192
predictive_accuracy
0.760192
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
recall
0.777512 [0.751196,0.803828]
recall
0.751196 [0.680952,0.822115]
recall
0.746411 [0.722488,0.770335]
recall
0.748804 [0.771429,0.725962]
recall
0.772727 [0.741627,0.803828]
recall
0.770335 [0.751196,0.789474]
recall
0.76555 [0.717703,0.813397]
recall
0.770335 [0.790476,0.75]
recall
0.772727 [0.770335,0.77512]
recall
0.784689 [0.751196,0.818182]
recall
0.729665 [0.733333,0.725962]
recall
0.777512 [0.742857,0.8125]
recall
0.729665 [0.72381,0.735577]
recall
0.801435 [0.780952,0.822115]
recall
0.758373 [0.771429,0.745192]
recall
0.748804 [0.738095,0.759615]
recall
0.758373 [0.747619,0.769231]
recall
0.729665 [0.690476,0.769231]
recall
0.755981 [0.695238,0.817308]
recall
0.741627 [0.72381,0.759615]
recall
0.818182 [0.814286,0.822115]
recall
0.808612 [0.814286,0.802885]
recall
0.791866 [0.819048,0.764423]
recall
0.770335 [0.747619,0.793269]
recall
0.755981 [0.72381,0.788462]
recall
0.715311 [0.690476,0.740385]
recall
0.815789 [0.761905,0.870192]
recall
0.744019 [0.7,0.788462]
recall
0.758373 [0.733333,0.783654]
recall
0.753589 [0.752381,0.754808]
recall
0.739234 [0.690476,0.788462]
recall
0.746411 [0.747619,0.745192]
recall
0.777512 [0.690476,0.865385]
recall
0.717703 [0.671429,0.764423]
recall
0.777512 [0.819048,0.735577]
recall
0.763158 [0.752381,0.774038]
recall
0.729665 [0.738095,0.721154]
recall
0.755981 [0.738095,0.774038]
recall
0.741627 [0.680952,0.802885]
recall
0.777512 [0.795238,0.759615]
recall
0.736842 [0.733333,0.740385]
recall
0.729665 [0.742857,0.716346]
recall
0.779904 [0.761905,0.798077]
recall
0.758373 [0.728571,0.788462]
recall
0.770335 [0.733333,0.807692]
recall
0.732057 [0.72381,0.740385]
recall
0.772727 [0.785714,0.759615]
recall
0.746411 [0.709524,0.783654]
recall
0.794258 [0.785714,0.802885]
recall
0.779904 [0.790476,0.769231]
recall
0.746411 [0.742857,0.75]
recall
0.755981 [0.766667,0.745192]
recall
0.77512 [0.728571,0.822115]
recall
0.770335 [0.795238,0.745192]
recall
0.77512 [0.771429,0.778846]
recall
0.787081 [0.747619,0.826923]
recall
0.753589 [0.714286,0.793269]
recall
0.77512 [0.747619,0.802885]
recall
0.746411 [0.72381,0.769231]
recall
0.758373 [0.72381,0.793269]
recall
0.746411 [0.714286,0.778846]
recall
0.744019 [0.779904,0.708134]
recall
0.789474 [0.766667,0.8125]
recall
0.770335 [0.746411,0.794258]
recall
0.772727 [0.747619,0.798077]
recall
0.784689 [0.795238,0.774038]
recall
0.73445 [0.709524,0.759615]
recall
0.763158 [0.741627,0.784689]
recall
0.770335 [0.766667,0.774038]
recall
0.760766 [0.790476,0.730769]
recall
0.776978 [0.755981,0.798077]
recall
0.76259 [0.746411,0.778846]
recall
0.77458 [0.789474,0.759615]
recall
0.738609 [0.708134,0.769231]
recall
0.757794 [0.746411,0.769231]
recall
0.77458 [0.698565,0.850962]
recall
0.784173 [0.784689,0.783654]
recall
0.796163 [0.770335,0.822115]
recall
0.781775 [0.77512,0.788462]
recall
0.779376 [0.784689,0.774038]
recall
0.781775 [0.727273,0.836538]
recall
0.793765 [0.803828,0.783654]
recall
0.738609 [0.755981,0.721154]
recall
0.741007 [0.732057,0.75]
recall
0.764988 [0.741627,0.788462]
recall
0.769784 [0.827751,0.711538]
recall
0.745803 [0.69378,0.798077]
recall
0.707434 [0.741627,0.673077]
recall
0.767386 [0.746411,0.788462]
recall
0.724221 [0.703349,0.745192]
recall
0.760192 [0.732057,0.788462]
recall
0.743405 [0.784689,0.701923]
recall
0.741007 [0.722488,0.759615]
recall
0.767386 [0.746411,0.788462]
recall
0.7506 [0.751196,0.75]
recall
0.791367 [0.76555,0.817308]
recall
0.755396 [0.755981,0.754808]
recall
0.755396 [0.794258,0.716346]
recall
0.760192 [0.751196,0.769231]
recall
0.760192 [0.746411,0.774038]
relative_absolute_error
0.618795
relative_absolute_error
0.673007
relative_absolute_error
0.680719
relative_absolute_error
0.64082
relative_absolute_error
0.650794
relative_absolute_error
0.656885
relative_absolute_error
0.645009
relative_absolute_error
0.650894
relative_absolute_error
0.62933
relative_absolute_error
0.631926
relative_absolute_error
0.697615
relative_absolute_error
0.644851
relative_absolute_error
0.693846
relative_absolute_error
0.581035
relative_absolute_error
0.694084
relative_absolute_error
0.687963
relative_absolute_error
0.666578
relative_absolute_error
0.691171
relative_absolute_error
0.663998
relative_absolute_error
0.661892
relative_absolute_error
0.578628
relative_absolute_error
0.598029
relative_absolute_error
0.644237
relative_absolute_error
0.663732
relative_absolute_error
0.69228
relative_absolute_error
0.701205
relative_absolute_error
0.591423
relative_absolute_error
0.689395
relative_absolute_error
0.632251
relative_absolute_error
0.675216
relative_absolute_error
0.695015
relative_absolute_error
0.685845
relative_absolute_error
0.642898
relative_absolute_error
0.686223
relative_absolute_error
0.627575
relative_absolute_error
0.665373
relative_absolute_error
0.695369
relative_absolute_error
0.678548
relative_absolute_error
0.684724
relative_absolute_error
0.62371
relative_absolute_error
0.682604
relative_absolute_error
0.697239
relative_absolute_error
0.662749
relative_absolute_error
0.694966
relative_absolute_error
0.651936
relative_absolute_error
0.662936
relative_absolute_error
0.650698
relative_absolute_error
0.656822
relative_absolute_error
0.634802
relative_absolute_error
0.63367
relative_absolute_error
0.668918
relative_absolute_error
0.643568
relative_absolute_error
0.62863
relative_absolute_error
0.653667
relative_absolute_error
0.644718
relative_absolute_error
0.614275
relative_absolute_error
0.654678
relative_absolute_error
0.663938
relative_absolute_error
0.70244
relative_absolute_error
0.671952
relative_absolute_error
0.647911
relative_absolute_error
0.662337
relative_absolute_error
0.609842
relative_absolute_error
0.673505
relative_absolute_error
0.626122
relative_absolute_error
0.632462
relative_absolute_error
0.717288
relative_absolute_error
0.652256
relative_absolute_error
0.60443
relative_absolute_error
0.694764
relative_absolute_error
0.636006
relative_absolute_error
0.676225
relative_absolute_error
0.627382
relative_absolute_error
0.687702
relative_absolute_error
0.651818
relative_absolute_error
0.642842
relative_absolute_error
0.67542
relative_absolute_error
0.633457
relative_absolute_error
0.66936
relative_absolute_error
0.630245
relative_absolute_error
0.626028
relative_absolute_error
0.616186
relative_absolute_error
0.688358
relative_absolute_error
0.681575
relative_absolute_error
0.65297
relative_absolute_error
0.621437
relative_absolute_error
0.691156
relative_absolute_error
0.666731
relative_absolute_error
0.676905
relative_absolute_error
0.703611
relative_absolute_error
0.668608
relative_absolute_error
0.696531
relative_absolute_error
0.6502
relative_absolute_error
0.675612
relative_absolute_error
0.644235
relative_absolute_error
0.60236
relative_absolute_error
0.627205
relative_absolute_error
0.639066
relative_absolute_error
0.66844
relative_absolute_error
0.652596
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_squared_error
0.399472
root_mean_squared_error
0.414914
root_mean_squared_error
0.422487
root_mean_squared_error
0.415691
root_mean_squared_error
0.404564
root_mean_squared_error
0.41098
root_mean_squared_error
0.41151
root_mean_squared_error
0.402173
root_mean_squared_error
0.401455
root_mean_squared_error
0.395296
root_mean_squared_error
0.433435
root_mean_squared_error
0.404718
root_mean_squared_error
0.437017
root_mean_squared_error
0.379825
root_mean_squared_error
0.425707
root_mean_squared_error
0.419586
root_mean_squared_error
0.418289
root_mean_squared_error
0.425459
root_mean_squared_error
0.417304
root_mean_squared_error
0.421081
root_mean_squared_error
0.365422
root_mean_squared_error
0.378821
root_mean_squared_error
0.398722
root_mean_squared_error
0.414747
root_mean_squared_error
0.425864
root_mean_squared_error
0.436101
root_mean_squared_error
0.371872
root_mean_squared_error
0.428712
root_mean_squared_error
0.403506
root_mean_squared_error
0.415691
root_mean_squared_error
0.429209
root_mean_squared_error
0.430771
root_mean_squared_error
0.410772
root_mean_squared_error
0.432846
root_mean_squared_error
0.403656
root_mean_squared_error
0.41212
root_mean_squared_error
0.43861
root_mean_squared_error
0.420574
root_mean_squared_error
0.425387
root_mean_squared_error
0.40001
root_mean_squared_error
0.428902
root_mean_squared_error
0.434091
root_mean_squared_error
0.408502
root_mean_squared_error
0.42448
root_mean_squared_error
0.420498
root_mean_squared_error
0.424646
root_mean_squared_error
0.402676
root_mean_squared_error
0.420194
root_mean_squared_error
0.397089
root_mean_squared_error
0.395503
root_mean_squared_error
0.415257
root_mean_squared_error
0.405945
root_mean_squared_error
0.402893
root_mean_squared_error
0.40813
root_mean_squared_error
0.418132
root_mean_squared_error
0.39744
root_mean_squared_error
0.41202
root_mean_squared_error
0.408257
root_mean_squared_error
0.430973
root_mean_squared_error
0.428563
root_mean_squared_error
0.413158
root_mean_squared_error
0.424987
root_mean_squared_error
0.386229
root_mean_squared_error
0.41355
root_mean_squared_error
0.403366
root_mean_squared_error
0.394451
root_mean_squared_error
0.435696
root_mean_squared_error
0.410603
root_mean_squared_error
0.40088
root_mean_squared_error
0.420468
root_mean_squared_error
0.40624
root_mean_squared_error
0.417553
root_mean_squared_error
0.391039
root_mean_squared_error
0.429437
root_mean_squared_error
0.413066
root_mean_squared_error
0.400461
root_mean_squared_error
0.41044
root_mean_squared_error
0.389059
root_mean_squared_error
0.409908
root_mean_squared_error
0.398728
root_mean_squared_error
0.39083
root_mean_squared_error
0.3882
root_mean_squared_error
0.421704
root_mean_squared_error
0.419109
root_mean_squared_error
0.412331
root_mean_squared_error
0.408291
root_mean_squared_error
0.426496
root_mean_squared_error
0.434962
root_mean_squared_error
0.414923
root_mean_squared_error
0.43993
root_mean_squared_error
0.423419
root_mean_squared_error
0.430248
root_mean_squared_error
0.426035
root_mean_squared_error
0.412767
root_mean_squared_error
0.416244
root_mean_squared_error
0.393974
root_mean_squared_error
0.411171
root_mean_squared_error
0.4136
root_mean_squared_error
0.411231
root_mean_squared_error
0.418216
root_relative_squared_error
0.79894
root_relative_squared_error
0.829837
root_relative_squared_error
0.844969
root_relative_squared_error
0.83139
root_relative_squared_error
0.809124
root_relative_squared_error
0.821954
root_relative_squared_error
0.823015
root_relative_squared_error
0.804354
root_relative_squared_error
0.802906
root_relative_squared_error
0.790588
root_relative_squared_error
0.866879
root_relative_squared_error
0.809445
root_relative_squared_error
0.874042
root_relative_squared_error
0.759659
root_relative_squared_error
0.851423
root_relative_squared_error
0.839181
root_relative_squared_error
0.836587
root_relative_squared_error
0.850927
root_relative_squared_error
0.834617
root_relative_squared_error
0.842171
root_relative_squared_error
0.730852
root_relative_squared_error
0.75765
root_relative_squared_error
0.797453
root_relative_squared_error
0.829503
root_relative_squared_error
0.851738
root_relative_squared_error
0.872212
root_relative_squared_error
0.743752
root_relative_squared_error
0.857433
root_relative_squared_error
0.80702
root_relative_squared_error
0.831391
root_relative_squared_error
0.858428
root_relative_squared_error
0.861552
root_relative_squared_error
0.821552
root_relative_squared_error
0.865702
root_relative_squared_error
0.807321
root_relative_squared_error
0.824248
root_relative_squared_error
0.877229
root_relative_squared_error
0.841157
root_relative_squared_error
0.850782
root_relative_squared_error
0.800029
root_relative_squared_error
0.857813
root_relative_squared_error
0.868191
root_relative_squared_error
0.817012
root_relative_squared_error
0.848968
root_relative_squared_error
0.841004
root_relative_squared_error
0.849302
root_relative_squared_error
0.80536
root_relative_squared_error
0.840396
root_relative_squared_error
0.794187
root_relative_squared_error
0.791014
root_relative_squared_error
0.830522
root_relative_squared_error
0.811898
root_relative_squared_error
0.805794
root_relative_squared_error
0.816268
root_relative_squared_error
0.836272
root_relative_squared_error
0.794889
root_relative_squared_error
0.824049
root_relative_squared_error
0.816524
root_relative_squared_error
0.861955
root_relative_squared_error
0.857135
root_relative_squared_error
0.826324
root_relative_squared_error
0.849969
root_relative_squared_error
0.772466
root_relative_squared_error
0.827095
root_relative_squared_error
0.806741
root_relative_squared_error
0.78891
root_relative_squared_error
0.871402
root_relative_squared_error
0.8212
root_relative_squared_error
0.801768
root_relative_squared_error
0.840946
root_relative_squared_error
0.812481
root_relative_squared_error
0.835107
root_relative_squared_error
0.782079
root_relative_squared_error
0.858875
root_relative_squared_error
0.826135
root_relative_squared_error
0.800924
root_relative_squared_error
0.820882
root_relative_squared_error
0.77812
root_relative_squared_error
0.819817
root_relative_squared_error
0.797457
root_relative_squared_error
0.781662
root_relative_squared_error
0.776401
root_relative_squared_error
0.843409
root_relative_squared_error
0.838219
root_relative_squared_error
0.824664
root_relative_squared_error
0.816584
root_relative_squared_error
0.852993
root_relative_squared_error
0.869925
root_relative_squared_error
0.829848
root_relative_squared_error
0.879862
root_relative_squared_error
0.846841
root_relative_squared_error
0.860498
root_relative_squared_error
0.852073
root_relative_squared_error
0.825537
root_relative_squared_error
0.832489
root_relative_squared_error
0.78795
root_relative_squared_error
0.822344
root_relative_squared_error
0.827202
root_relative_squared_error
0.822463
root_relative_squared_error
0.836434
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
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
30
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
30
usercpu_time_millis
40
usercpu_time_millis
30
usercpu_time_millis
40
usercpu_time_millis
30
usercpu_time_millis
30
usercpu_time_millis
30
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
30
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
30
usercpu_time_millis
40
usercpu_time_millis
30
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
50
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
60
usercpu_time_millis
40
usercpu_time_millis
30
usercpu_time_millis
30
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
50
usercpu_time_millis
40
usercpu_time_millis
30
usercpu_time_millis
40
usercpu_time_millis
30
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
30
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
30
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
30
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
50
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
30
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
30
usercpu_time_millis
50
usercpu_time_millis
30
usercpu_time_millis
40
usercpu_time_millis
50
usercpu_time_millis
50
usercpu_time_millis
40
usercpu_time_millis
40
usercpu_time_millis
40
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
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
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
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
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
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
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_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
30
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
30
usercpu_time_millis_training
40
usercpu_time_millis_training
30
usercpu_time_millis_training
30
usercpu_time_millis_training
30
usercpu_time_millis_training
30
usercpu_time_millis_training
30
usercpu_time_millis_training
30
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
30
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
30
usercpu_time_millis_training
40
usercpu_time_millis_training
30
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
50
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
60
usercpu_time_millis_training
40
usercpu_time_millis_training
30
usercpu_time_millis_training
30
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
30
usercpu_time_millis_training
50
usercpu_time_millis_training
40
usercpu_time_millis_training
30
usercpu_time_millis_training
40
usercpu_time_millis_training
30
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
30
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
30
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
30
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
30
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
50
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
30
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
30
usercpu_time_millis_training
50
usercpu_time_millis_training
30
usercpu_time_millis_training
40
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
40
usercpu_time_millis_training
40
usercpu_time_millis_training
40