448944
2
Joaquin Vanschoren
4549
Supervised Classification
predictive_accuracy
1168
weka.BayesNet_K2(6)
1921
weka.classifiers.bayes.BayesNet -- -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.SimpleEstimator -- -A 0.5
D
true
1168
Q
weka.classifiers.bayes.net.search.local.K2
1168
P
1
1169
S
BAYES
1169
weka
weka_3.7.12
981
kdd_internet_usage
https://www.openml.org/data/download/53515/kdd_internet_usage.arff
-1
1574300
description
https://api.openml.org/data/download/1574300/weka_generated_run7757357472122432877.xml
-1
1574303
model_readable
https://api.openml.org/data/download/1574303/WekaModel_weka.classifiers.bayes.BayesNet340551694465759369.model
-1
1574302
model_serialized
https://api.openml.org/data/download/1574302/WekaSerialized_weka.classifiers.bayes.BayesNet941970351779371746.model
-1
1574301
predictions
https://api.openml.org/data/download/1574301/weka_generated_predictions6933199869454822214.arff
area_under_roc_curve
0.919865 [0.919865,0.919865]
average_cost
0
f_measure
0.857752 [0.896919,0.751098]
kappa
0.649015
kb_relative_information_score
57631.403046
mean_absolute_error
0.155658
mean_prior_absolute_error
0.392928
number_of_instances
101080 [73930,27150]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.865622 [0.92878,0.693642]
predictive_accuracy
0.854214
prior_entropy
0.839513
recall
0.854214 [0.867172,0.818932]
relative_absolute_error
0.396149
root_mean_prior_squared_error
0.443231
root_mean_squared_error
0.345224
root_relative_squared_error
0.77888
scimark_benchmark
930.404046 [552.1496309692806, 999.7172495283804, 467.86139427096174, 904.5686674515777, 1727.7232870185824]
total_cost
0
usercpu_time_millis
130
usercpu_time_millis_testing
80
usercpu_time_millis_training
50
area_under_roc_curve
0.918946 [0.918946,0.918946]
area_under_roc_curve
0.926887 [0.926887,0.926887]
area_under_roc_curve
0.929052 [0.929052,0.929052]
area_under_roc_curve
0.919495 [0.919495,0.919495]
area_under_roc_curve
0.934173 [0.934173,0.934173]
area_under_roc_curve
0.914596 [0.914596,0.914596]
area_under_roc_curve
0.93138 [0.93138,0.93138]
area_under_roc_curve
0.90724 [0.90724,0.90724]
area_under_roc_curve
0.912516 [0.912516,0.912516]
area_under_roc_curve
0.912616 [0.912616,0.912616]
area_under_roc_curve
0.925252 [0.925252,0.925252]
area_under_roc_curve
0.909143 [0.909143,0.909143]
area_under_roc_curve
0.915765 [0.915765,0.915765]
area_under_roc_curve
0.928366 [0.928366,0.928366]
area_under_roc_curve
0.915895 [0.915895,0.915895]
area_under_roc_curve
0.931742 [0.931742,0.931742]
area_under_roc_curve
0.907781 [0.907781,0.907781]
area_under_roc_curve
0.922771 [0.922771,0.922771]
area_under_roc_curve
0.902214 [0.902214,0.902214]
area_under_roc_curve
0.92683 [0.92683,0.92683]
area_under_roc_curve
0.925262 [0.925262,0.925262]
area_under_roc_curve
0.917303 [0.917303,0.917303]
area_under_roc_curve
0.919502 [0.919502,0.919502]
area_under_roc_curve
0.933754 [0.933754,0.933754]
area_under_roc_curve
0.913643 [0.913643,0.913643]
area_under_roc_curve
0.928603 [0.928603,0.928603]
area_under_roc_curve
0.920205 [0.920205,0.920205]
area_under_roc_curve
0.914025 [0.914025,0.914025]
area_under_roc_curve
0.927054 [0.927054,0.927054]
area_under_roc_curve
0.912544 [0.912544,0.912544]
area_under_roc_curve
0.917565 [0.917565,0.917565]
area_under_roc_curve
0.928431 [0.928431,0.928431]
area_under_roc_curve
0.911324 [0.911324,0.911324]
area_under_roc_curve
0.914777 [0.914777,0.914777]
area_under_roc_curve
0.909489 [0.909489,0.909489]
area_under_roc_curve
0.924553 [0.924553,0.924553]
area_under_roc_curve
0.905947 [0.905947,0.905947]
area_under_roc_curve
0.922511 [0.922511,0.922511]
area_under_roc_curve
0.917008 [0.917008,0.917008]
area_under_roc_curve
0.926279 [0.926279,0.926279]
area_under_roc_curve
0.914469 [0.914469,0.914469]
area_under_roc_curve
0.931739 [0.931739,0.931739]
area_under_roc_curve
0.921003 [0.921003,0.921003]
area_under_roc_curve
0.917672 [0.917672,0.917672]
area_under_roc_curve
0.919675 [0.919675,0.919675]
area_under_roc_curve
0.919943 [0.919943,0.919943]
area_under_roc_curve
0.922605 [0.922605,0.922605]
area_under_roc_curve
0.927461 [0.927461,0.927461]
area_under_roc_curve
0.911262 [0.911262,0.911262]
area_under_roc_curve
0.929913 [0.929913,0.929913]
area_under_roc_curve
0.917113 [0.917113,0.917113]
area_under_roc_curve
0.914969 [0.914969,0.914969]
area_under_roc_curve
0.918531 [0.918531,0.918531]
area_under_roc_curve
0.931344 [0.931344,0.931344]
area_under_roc_curve
0.924473 [0.924473,0.924473]
area_under_roc_curve
0.926859 [0.926859,0.926859]
area_under_roc_curve
0.910469 [0.910469,0.910469]
area_under_roc_curve
0.920665 [0.920665,0.920665]
area_under_roc_curve
0.934562 [0.934562,0.934562]
area_under_roc_curve
0.930403 [0.930403,0.930403]
area_under_roc_curve
0.91409 [0.91409,0.91409]
area_under_roc_curve
0.914033 [0.914033,0.914033]
area_under_roc_curve
0.916807 [0.916807,0.916807]
area_under_roc_curve
0.907004 [0.907004,0.907004]
area_under_roc_curve
0.917083 [0.917083,0.917083]
area_under_roc_curve
0.919075 [0.919075,0.919075]
area_under_roc_curve
0.937764 [0.937764,0.937764]
area_under_roc_curve
0.913593 [0.913593,0.913593]
area_under_roc_curve
0.927127 [0.927127,0.927127]
area_under_roc_curve
0.912086 [0.912086,0.912086]
area_under_roc_curve
0.929222 [0.929222,0.929222]
area_under_roc_curve
0.924819 [0.924819,0.924819]
area_under_roc_curve
0.913874 [0.913874,0.913874]
area_under_roc_curve
0.918909 [0.918909,0.918909]
area_under_roc_curve
0.914901 [0.914901,0.914901]
area_under_roc_curve
0.92519 [0.92519,0.92519]
area_under_roc_curve
0.914332 [0.914332,0.914332]
area_under_roc_curve
0.935092 [0.935092,0.935092]
area_under_roc_curve
0.90723 [0.90723,0.90723]
area_under_roc_curve
0.911971 [0.911971,0.911971]
area_under_roc_curve
0.921126 [0.921126,0.921126]
area_under_roc_curve
0.9146 [0.9146,0.9146]
area_under_roc_curve
0.921403 [0.921403,0.921403]
area_under_roc_curve
0.920772 [0.920772,0.920772]
area_under_roc_curve
0.921675 [0.921675,0.921675]
area_under_roc_curve
0.908683 [0.908683,0.908683]
area_under_roc_curve
0.92598 [0.92598,0.92598]
area_under_roc_curve
0.927902 [0.927902,0.927902]
area_under_roc_curve
0.9272 [0.9272,0.9272]
area_under_roc_curve
0.910852 [0.910852,0.910852]
area_under_roc_curve
0.916318 [0.916318,0.916318]
area_under_roc_curve
0.917855 [0.917855,0.917855]
area_under_roc_curve
0.929764 [0.929764,0.929764]
area_under_roc_curve
0.904221 [0.904221,0.904221]
area_under_roc_curve
0.928696 [0.928696,0.928696]
area_under_roc_curve
0.89969 [0.89969,0.89969]
area_under_roc_curve
0.92019 [0.92019,0.92019]
area_under_roc_curve
0.907859 [0.907859,0.907859]
area_under_roc_curve
0.93118 [0.93118,0.93118]
area_under_roc_curve
0.926389 [0.926389,0.926389]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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
0.86267 [0.899225,0.762852]
f_measure
0.860416 [0.898246,0.757119]
f_measure
0.861656 [0.898592,0.760797]
f_measure
0.857768 [0.897704,0.748718]
f_measure
0.866766 [0.903631,0.766102]
f_measure
0.843988 [0.886396,0.728188]
f_measure
0.85928 [0.897759,0.754209]
f_measure
0.835116 [0.880336,0.711636]
f_measure
0.847999 [0.892562,0.726316]
f_measure
0.848286 [0.893908,0.723708]
f_measure
0.852834 [0.892481,0.744574]
f_measure
0.849757 [0.892436,0.733219]
f_measure
0.854641 [0.894035,0.747069]
f_measure
0.868697 [0.905028,0.769492]
f_measure
0.859043 [0.898045,0.752542]
f_measure
0.864835 [0.902235,0.762712]
f_measure
0.84219 [0.884831,0.725753]
f_measure
0.872173 [0.906404,0.778702]
f_measure
0.846686 [0.888733,0.731872]
f_measure
0.874597 [0.909091,0.780405]
f_measure
0.864235 [0.902913,0.758621]
f_measure
0.869379 [0.906054,0.769231]
f_measure
0.865266 [0.903539,0.760757]
f_measure
0.878455 [0.911888,0.787162]
f_measure
0.853897 [0.89492,0.74188]
f_measure
0.873698 [0.910097,0.774306]
f_measure
0.860302 [0.898388,0.756303]
f_measure
0.854277 [0.894479,0.744501]
f_measure
0.870738 [0.906294,0.773649]
f_measure
0.856477 [0.897365,0.744828]
f_measure
0.859431 [0.899236,0.751286]
f_measure
0.866967 [0.903226,0.768456]
f_measure
0.851294 [0.892308,0.739865]
f_measure
0.842098 [0.882729,0.731707]
f_measure
0.848462 [0.890133,0.735245]
f_measure
0.858002 [0.895332,0.756579]
f_measure
0.842441 [0.887967,0.71875]
f_measure
0.860337 [0.9,0.752577]
f_measure
0.848292 [0.888418,0.739274]
f_measure
0.854253 [0.894332,0.745363]
f_measure
0.845368 [0.888268,0.728814]
f_measure
0.872047 [0.906404,0.778702]
f_measure
0.84739 [0.887633,0.738056]
f_measure
0.856588 [0.897079,0.746575]
f_measure
0.863553 [0.901742,0.759796]
f_measure
0.864697 [0.902235,0.762712]
f_measure
0.855937 [0.896022,0.747029]
f_measure
0.863432 [0.901879,0.758974]
f_measure
0.846604 [0.886686,0.737705]
f_measure
0.867654 [0.904263,0.76819]
f_measure
0.855811 [0.896167,0.746167]
f_measure
0.8531 [0.893855,0.742373]
f_measure
0.850213 [0.889831,0.742574]
f_measure
0.860951 [0.899301,0.756757]
f_measure
0.859682 [0.898955,0.752981]
f_measure
0.869709 [0.903546,0.777778]
f_measure
0.853037 [0.892025,0.747107]
f_measure
0.862997 [0.90056,0.760943]
f_measure
0.868676 [0.904895,0.77027]
f_measure
0.869515 [0.903819,0.776316]
f_measure
0.850517 [0.891381,0.739496]
f_measure
0.848056 [0.888732,0.737542]
f_measure
0.859173 [0.899515,0.749568]
f_measure
0.850005 [0.891986,0.735945]
f_measure
0.858899 [0.898045,0.752542]
f_measure
0.851541 [0.893824,0.736661]
f_measure
0.881573 [0.913563,0.794658]
f_measure
0.839464 [0.882311,0.723051]
f_measure
0.868096 [0.905556,0.766323]
f_measure
0.852323 [0.892932,0.74199]
f_measure
0.862204 [0.899649,0.760469]
f_measure
0.858002 [0.899032,0.746528]
f_measure
0.860307 [0.901718,0.747795]
f_measure
0.851785 [0.891702,0.743333]
f_measure
0.844452 [0.885593,0.732673]
f_measure
0.858526 [0.89847,0.75]
f_measure
0.862524 [0.901114,0.757679]
f_measure
0.876461 [0.908446,0.78956]
f_measure
0.851903 [0.891549,0.744186]
f_measure
0.842537 [0.886094,0.724196]
f_measure
0.861514 [0.898449,0.760797]
f_measure
0.853588 [0.893108,0.745819]
f_measure
0.854839 [0.893437,0.749585]
f_measure
0.871255 [0.908966,0.768421]
f_measure
0.848285 [0.88826,0.739274]
f_measure
0.847037 [0.889819,0.730375]
f_measure
0.861365 [0.902204,0.75]
f_measure
0.869475 [0.90566,0.770798]
f_measure
0.85642 [0.895292,0.750419]
f_measure
0.854373 [0.894035,0.746218]
f_measure
0.853619 [0.89492,0.740995]
f_measure
0.848333 [0.890133,0.734349]
f_measure
0.876774 [0.911744,0.781411]
f_measure
0.848711 [0.88967,0.737018]
f_measure
0.869804 [0.905263,0.773109]
f_measure
0.840231 [0.883099,0.723333]
f_measure
0.860017 [0.896454,0.760656]
f_measure
0.844097 [0.889503,0.72028]
f_measure
0.874946 [0.91023,0.778731]
f_measure
0.855484 [0.892527,0.754472]
kappa
0.66354
kappa
0.656586
kappa
0.660817
kappa
0.647197
kappa
0.670631
kappa
0.615901
kappa
0.653074
kappa
0.59322
kappa
0.619238
kappa
0.617784
kappa
0.638433
kappa
0.626333
kappa
0.642375
kappa
0.675405
kappa
0.651537
kappa
0.665858
kappa
0.612013
kappa
0.686384
kappa
0.621766
kappa
0.690411
kappa
0.662117
kappa
0.675998
kappa
0.664905
kappa
0.699936
kappa
0.637597
kappa
0.68484
kappa
0.655829
kappa
0.640002
kappa
0.680885
kappa
0.642809
kappa
0.651154
kappa
0.672723
kappa
0.633171
kappa
0.61667
kappa
0.626436
kappa
0.653562
kappa
0.6072
kappa
0.653175
kappa
0.629352
kappa
0.640712
kappa
0.618038
kappa
0.6863
kappa
0.62741
kappa
0.644332
kappa
0.662279
kappa
0.665784
kappa
0.643906
kappa
0.66153
kappa
0.626281
kappa
0.673306
kappa
0.643118
kappa
0.637136
kappa
0.634044
kappa
0.656991
kappa
0.652698
kappa
0.683022
kappa
0.640692
kappa
0.662498
kappa
0.676047
kappa
0.681651
kappa
0.632004
kappa
0.627739
kappa
0.649597
kappa
0.628746
kappa
0.65146
kappa
0.631088
kappa
0.709252
kappa
0.606962
kappa
0.672443
kappa
0.635953
kappa
0.661237
kappa
0.645995
kappa
0.649738
kappa
0.636372
kappa
0.619969
kappa
0.649139
kappa
0.659507
kappa
0.699661
kappa
0.637163
kappa
0.611305
kappa
0.660677
kappa
0.640254
kappa
0.64457
kappa
0.677692
kappa
0.629306
kappa
0.621067
kappa
0.652489
kappa
0.677304
kappa
0.646967
kappa
0.641441
kappa
0.636644
kappa
0.625546
kappa
0.693713
kappa
0.628013
kappa
0.679434
kappa
0.60798
kappa
0.658943
kappa
0.610206
kappa
0.689583
kappa
0.649162
kb_relative_information_score
576.655099
kb_relative_information_score
581.049693
kb_relative_information_score
585.699039
kb_relative_information_score
571.623215
kb_relative_information_score
616.372255
kb_relative_information_score
546.93291
kb_relative_information_score
587.545481
kb_relative_information_score
519.92801
kb_relative_information_score
555.51622
kb_relative_information_score
556.937935
kb_relative_information_score
561.828076
kb_relative_information_score
551.327785
kb_relative_information_score
551.408056
kb_relative_information_score
595.790015
kb_relative_information_score
567.545512
kb_relative_information_score
606.559414
kb_relative_information_score
521.113119
kb_relative_information_score
612.632111
kb_relative_information_score
536.493352
kb_relative_information_score
624.538752
kb_relative_information_score
600.359461
kb_relative_information_score
588.008157
kb_relative_information_score
595.736492
kb_relative_information_score
631.546427
kb_relative_information_score
559.693592
kb_relative_information_score
624.380776
kb_relative_information_score
569.625233
kb_relative_information_score
554.276903
kb_relative_information_score
606.160443
kb_relative_information_score
570.304997
kb_relative_information_score
586.158005
kb_relative_information_score
604.088661
kb_relative_information_score
566.44809
kb_relative_information_score
533.284423
kb_relative_information_score
563.704654
kb_relative_information_score
578.069679
kb_relative_information_score
545.047618
kb_relative_information_score
588.52281
kb_relative_information_score
545.879301
kb_relative_information_score
571.865241
kb_relative_information_score
560.081633
kb_relative_information_score
620.196185
kb_relative_information_score
548.585169
kb_relative_information_score
576.458127
kb_relative_information_score
593.053261
kb_relative_information_score
597.275183
kb_relative_information_score
577.209804
kb_relative_information_score
594.70437
kb_relative_information_score
549.93495
kb_relative_information_score
611.634047
kb_relative_information_score
570.962043
kb_relative_information_score
562.050374
kb_relative_information_score
555.511476
kb_relative_information_score
586.851163
kb_relative_information_score
577.411407
kb_relative_information_score
599.13834
kb_relative_information_score
553.746224
kb_relative_information_score
588.676979
kb_relative_information_score
621.123516
kb_relative_information_score
612.477636
kb_relative_information_score
557.002024
kb_relative_information_score
563.169526
kb_relative_information_score
585.102403
kb_relative_information_score
547.878186
kb_relative_information_score
573.812035
kb_relative_information_score
559.499562
kb_relative_information_score
634.287269
kb_relative_information_score
541.116681
kb_relative_information_score
596.826592
kb_relative_information_score
559.351014
kb_relative_information_score
604.611228
kb_relative_information_score
575.798766
kb_relative_information_score
587.038354
kb_relative_information_score
563.741908
kb_relative_information_score
536.942493
kb_relative_information_score
586.11116
kb_relative_information_score
585.487601
kb_relative_information_score
619.090293
kb_relative_information_score
540.425735
kb_relative_information_score
537.016542
kb_relative_information_score
569.112534
kb_relative_information_score
568.928697
kb_relative_information_score
569.360803
kb_relative_information_score
605.561294
kb_relative_information_score
563.629151
kb_relative_information_score
540.150429
kb_relative_information_score
603.298265
kb_relative_information_score
604.895475
kb_relative_information_score
585.060445
kb_relative_information_score
547.305021
kb_relative_information_score
572.553807
kb_relative_information_score
556.776912
kb_relative_information_score
624.51882
kb_relative_information_score
545.191798
kb_relative_information_score
601.985094
kb_relative_information_score
519.817114
kb_relative_information_score
584.254845
kb_relative_information_score
541.463772
kb_relative_information_score
632.853455
kb_relative_information_score
572.637043
mean_absolute_error
0.155726
mean_absolute_error
0.153121
mean_absolute_error
0.151784
mean_absolute_error
0.156872
mean_absolute_error
0.142108
mean_absolute_error
0.164574
mean_absolute_error
0.151042
mean_absolute_error
0.173628
mean_absolute_error
0.162637
mean_absolute_error
0.161158
mean_absolute_error
0.15995
mean_absolute_error
0.165036
mean_absolute_error
0.164459
mean_absolute_error
0.147798
mean_absolute_error
0.157886
mean_absolute_error
0.145168
mean_absolute_error
0.175797
mean_absolute_error
0.144081
mean_absolute_error
0.169751
mean_absolute_error
0.139503
mean_absolute_error
0.146479
mean_absolute_error
0.152407
mean_absolute_error
0.148257
mean_absolute_error
0.137348
mean_absolute_error
0.161514
mean_absolute_error
0.138882
mean_absolute_error
0.156301
mean_absolute_error
0.16272
mean_absolute_error
0.146337
mean_absolute_error
0.15787
mean_absolute_error
0.152426
mean_absolute_error
0.146523
mean_absolute_error
0.159449
mean_absolute_error
0.170185
mean_absolute_error
0.161257
mean_absolute_error
0.155593
mean_absolute_error
0.166956
mean_absolute_error
0.151406
mean_absolute_error
0.166182
mean_absolute_error
0.157057
mean_absolute_error
0.16215
mean_absolute_error
0.140989
mean_absolute_error
0.164674
mean_absolute_error
0.155788
mean_absolute_error
0.150213
mean_absolute_error
0.149598
mean_absolute_error
0.154503
mean_absolute_error
0.150008
mean_absolute_error
0.164702
mean_absolute_error
0.143506
mean_absolute_error
0.157484
mean_absolute_error
0.16044
mean_absolute_error
0.163158
mean_absolute_error
0.151782
mean_absolute_error
0.155272
mean_absolute_error
0.14855
mean_absolute_error
0.165138
mean_absolute_error
0.151903
mean_absolute_error
0.139858
mean_absolute_error
0.144005
mean_absolute_error
0.1627
mean_absolute_error
0.159336
mean_absolute_error
0.154014
mean_absolute_error
0.166116
mean_absolute_error
0.156767
mean_absolute_error
0.161439
mean_absolute_error
0.136105
mean_absolute_error
0.167484
mean_absolute_error
0.149463
mean_absolute_error
0.16133
mean_absolute_error
0.145448
mean_absolute_error
0.1568
mean_absolute_error
0.152352
mean_absolute_error
0.160319
mean_absolute_error
0.168644
mean_absolute_error
0.152397
mean_absolute_error
0.15167
mean_absolute_error
0.141563
mean_absolute_error
0.169119
mean_absolute_error
0.169307
mean_absolute_error
0.158077
mean_absolute_error
0.158199
mean_absolute_error
0.157046
mean_absolute_error
0.145722
mean_absolute_error
0.158871
mean_absolute_error
0.167154
mean_absolute_error
0.145194
mean_absolute_error
0.146015
mean_absolute_error
0.151389
mean_absolute_error
0.16619
mean_absolute_error
0.156816
mean_absolute_error
0.161588
mean_absolute_error
0.139724
mean_absolute_error
0.165873
mean_absolute_error
0.146936
mean_absolute_error
0.174579
mean_absolute_error
0.153955
mean_absolute_error
0.166703
mean_absolute_error
0.136121
mean_absolute_error
0.156364
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.392675
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.393133
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
mean_prior_absolute_error
0.392798
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [740,271]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1011 [739,272]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
number_of_instances
1010 [739,271]
precision
0.87345 [0.939617,0.692771]
precision
0.869691 [0.934307,0.693252]
precision
0.872189 [0.938235,0.691843]
precision
0.864294 [0.925395,0.697452]
precision
0.874256 [0.934971,0.708464]
precision
0.853308 [0.921283,0.667692]
precision
0.86784 [0.931686,0.693498]
precision
0.843857 [0.912917,0.65528]
precision
0.85173 [0.910112,0.692308]
precision
0.850552 [0.905687,0.7]
precision
0.862751 [0.929722,0.679878]
precision
0.855565 [0.917261,0.687097]
precision
0.864019 [0.929927,0.684049]
precision
0.876154 [0.936416,0.711599]
precision
0.866663 [0.929191,0.695925]
precision
0.872358 [0.933526,0.705329]
precision
0.852044 [0.921053,0.663609]
precision
0.882253 [0.945668,0.709091]
precision
0.855226 [0.921626,0.673913]
precision
0.882414 [0.942029,0.719626]
precision
0.869618 [0.92735,0.711974]
precision
0.875717 [0.934003,0.716561]
precision
0.870836 [0.928673,0.712903]
precision
0.886205 [0.944928,0.725857]
precision
0.860487 [0.922525,0.691083]
precision
0.87817 [0.932011,0.731148]
precision
0.869086 [0.933042,0.694444]
precision
0.862212 [0.926194,0.6875]
precision
0.878622 [0.93913,0.713396]
precision
0.861978 [0.921652,0.699029]
precision
0.865068 [0.924286,0.70418]
precision
0.875363 [0.937409,0.70679]
precision
0.859019 [0.9233,0.684375]
precision
0.856014 [0.929641,0.655977]
precision
0.856467 [0.921739,0.679128]
precision
0.869642 [0.937778,0.684524]
precision
0.846952 [0.908062,0.680921]
precision
0.865758 [0.924394,0.706452]
precision
0.859568 [0.929099,0.670659]
precision
0.862159 [0.926087,0.688474]
precision
0.852736 [0.917749,0.676101]
precision
0.881586 [0.944282,0.711246]
precision
0.858953 [0.928994,0.668657]
precision
0.862474 [0.922747,0.698718]
precision
0.869962 [0.929598,0.707937]
precision
0.871744 [0.932179,0.707547]
precision
0.862906 [0.925072,0.694006]
precision
0.86942 [0.928367,0.709265]
precision
0.859007 [0.930163,0.66568]
precision
0.874875 [0.934971,0.711599]
precision
0.862345 [0.923851,0.695238]
precision
0.860339 [0.923521,0.688679]
precision
0.861453 [0.930576,0.673653]
precision
0.868512 [0.930535,0.7]
precision
0.866153 [0.926724,0.701587]
precision
0.88225 [0.949329,0.7]
precision
0.863958 [0.932153,0.678679]
precision
0.870988 [0.933237,0.701863]
precision
0.876106 [0.936324,0.7125]
precision
0.880944 [0.946667,0.702381]
precision
0.85896 [0.924419,0.681115]
precision
0.858282 [0.926579,0.672727]
precision
0.864022 [0.921875,0.70684]
precision
0.856632 [0.91954,0.685714]
precision
0.866041 [0.92785,0.698113]
precision
0.856893 [0.917379,0.692557]
precision
0.890441 [0.950292,0.727829]
precision
0.850106 [0.920588,0.65861]
precision
0.873401 [0.9301,0.719355]
precision
0.860262 [0.924638,0.685358]
precision
0.870925 [0.934402,0.698462]
precision
0.862303 [0.919378,0.707237]
precision
0.86305 [0.916201,0.718644]
precision
0.861433 [0.928258,0.679878]
precision
0.855798 [0.926145,0.664671]
precision
0.864382 [0.924177,0.701923]
precision
0.868737 [0.928264,0.707006]
precision
0.889162 [0.955224,0.709677]
precision
0.86206 [0.929515,0.678788]
precision
0.850179 [0.916185,0.670846]
precision
0.872058 [0.938144,0.691843]
precision
0.863242 [0.929722,0.681957]
precision
0.86577 [0.933628,0.680723]
precision
0.874697 [0.926864,0.732441]
precision
0.860148 [0.93037,0.668657]
precision
0.85396 [0.917986,0.679365]
precision
0.864593 [0.918654,0.717172]
precision
0.876694 [0.936416,0.713836]
precision
0.865772 [0.931287,0.687117]
precision
0.863267 [0.928571,0.685185]
precision
0.859787 [0.921203,0.692308]
precision
0.856373 [0.921739,0.678125]
precision
0.882169 [0.937143,0.732258]
precision
0.858201 [0.925439,0.674847]
precision
0.878425 [0.940233,0.709877]
precision
0.850639 [0.920705,0.659574]
precision
0.872783 [0.941878,0.684366]
precision
0.848236 [0.908322,0.684385]
precision
0.880778 [0.936963,0.727564]
precision
0.869795 [0.941441,0.674419]
predictive_accuracy
0.858556
predictive_accuracy
0.856578
predictive_accuracy
0.857567
predictive_accuracy
0.854599
predictive_accuracy
0.863501
predictive_accuracy
0.839763
predictive_accuracy
0.855589
predictive_accuracy
0.830861
predictive_accuracy
0.845697
predictive_accuracy
0.846686
predictive_accuracy
0.848665
predictive_accuracy
0.846686
predictive_accuracy
0.850643
predictive_accuracy
0.86548
predictive_accuracy
0.855589
predictive_accuracy
0.861523
predictive_accuracy
0.837784
predictive_accuracy
0.868447
predictive_accuracy
0.84273
predictive_accuracy
0.871414
predictive_accuracy
0.861523
predictive_accuracy
0.866469
predictive_accuracy
0.862512
predictive_accuracy
0.875371
predictive_accuracy
0.850643
predictive_accuracy
0.871414
predictive_accuracy
0.856578
predictive_accuracy
0.850643
predictive_accuracy
0.867458
predictive_accuracy
0.85361
predictive_accuracy
0.856578
predictive_accuracy
0.863501
predictive_accuracy
0.847676
predictive_accuracy
0.836795
predictive_accuracy
0.844708
predictive_accuracy
0.85361
predictive_accuracy
0.839763
predictive_accuracy
0.857567
predictive_accuracy
0.843719
predictive_accuracy
0.850643
predictive_accuracy
0.841741
predictive_accuracy
0.868447
predictive_accuracy
0.84273
predictive_accuracy
0.85361
predictive_accuracy
0.860534
predictive_accuracy
0.861523
predictive_accuracy
0.852621
predictive_accuracy
0.860534
predictive_accuracy
0.841741
predictive_accuracy
0.864491
predictive_accuracy
0.852621
predictive_accuracy
0.849654
predictive_accuracy
0.845697
predictive_accuracy
0.857567
predictive_accuracy
0.856578
predictive_accuracy
0.86548
predictive_accuracy
0.848665
predictive_accuracy
0.859545
predictive_accuracy
0.86548
predictive_accuracy
0.86548
predictive_accuracy
0.846686
predictive_accuracy
0.843719
predictive_accuracy
0.856578
predictive_accuracy
0.846686
predictive_accuracy
0.855589
predictive_accuracy
0.848665
predictive_accuracy
0.878338
predictive_accuracy
0.834817
predictive_accuracy
0.86548
predictive_accuracy
0.848665
predictive_accuracy
0.858556
predictive_accuracy
0.855589
predictive_accuracy
0.858556
predictive_accuracy
0.847676
predictive_accuracy
0.839763
predictive_accuracy
0.855589
predictive_accuracy
0.859545
predictive_accuracy
0.872404
predictive_accuracy
0.847676
predictive_accuracy
0.838773
predictive_accuracy
0.857426
predictive_accuracy
0.849505
predictive_accuracy
0.850495
predictive_accuracy
0.869307
predictive_accuracy
0.843564
predictive_accuracy
0.843564
predictive_accuracy
0.859406
predictive_accuracy
0.866337
predictive_accuracy
0.852475
predictive_accuracy
0.850495
predictive_accuracy
0.850495
predictive_accuracy
0.844554
predictive_accuracy
0.874257
predictive_accuracy
0.844554
predictive_accuracy
0.866337
predictive_accuracy
0.835644
predictive_accuracy
0.855446
predictive_accuracy
0.841584
predictive_accuracy
0.872277
predictive_accuracy
0.850495
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
prior_entropy
0.839513
recall
0.858556 [0.862162,0.848708]
recall
0.856578 [0.864865,0.833948]
recall
0.857567 [0.862162,0.845018]
recall
0.854599 [0.871622,0.808118]
recall
0.863501 [0.874324,0.833948]
recall
0.839763 [0.854054,0.800738]
recall
0.855589 [0.866216,0.826568]
recall
0.830861 [0.85,0.778598]
recall
0.845697 [0.875676,0.763838]
recall
0.846686 [0.882432,0.749077]
recall
0.848665 [0.858108,0.822878]
recall
0.846686 [0.868919,0.785978]
recall
0.850643 [0.860811,0.822878]
recall
0.86548 [0.875676,0.837638]
recall
0.855589 [0.868919,0.819188]
recall
0.861523 [0.872973,0.830258]
recall
0.837784 [0.851351,0.800738]
recall
0.868447 [0.87027,0.863469]
recall
0.84273 [0.858108,0.800738]
recall
0.871414 [0.878378,0.852399]
recall
0.861523 [0.87973,0.811808]
recall
0.866469 [0.87973,0.830258]
recall
0.862512 [0.87973,0.815498]
recall
0.875371 [0.881081,0.859779]
recall
0.850643 [0.868919,0.800738]
recall
0.871414 [0.889189,0.822878]
recall
0.856578 [0.866216,0.830258]
recall
0.850643 [0.864865,0.811808]
recall
0.867458 [0.875676,0.845018]
recall
0.85361 [0.874324,0.797048]
recall
0.856578 [0.875507,0.805147]
recall
0.863501 [0.871448,0.841912]
recall
0.847676 [0.863329,0.805147]
recall
0.836795 [0.840325,0.827206]
recall
0.844708 [0.860622,0.801471]
recall
0.85361 [0.856563,0.845588]
recall
0.839763 [0.868742,0.761029]
recall
0.857567 [0.876861,0.805147]
recall
0.843719 [0.85115,0.823529]
recall
0.850643 [0.864682,0.8125]
recall
0.841741 [0.860622,0.790441]
recall
0.868447 [0.871448,0.860294]
recall
0.84273 [0.849797,0.823529]
recall
0.85361 [0.872801,0.801471]
recall
0.860534 [0.875507,0.819853]
recall
0.861523 [0.874154,0.827206]
recall
0.852621 [0.868742,0.808824]
recall
0.860534 [0.876861,0.816176]
recall
0.841741 [0.847091,0.827206]
recall
0.864491 [0.875507,0.834559]
recall
0.852621 [0.870095,0.805147]
recall
0.849654 [0.866035,0.805147]
recall
0.845697 [0.852503,0.827206]
recall
0.857567 [0.870095,0.823529]
recall
0.856578 [0.872801,0.8125]
recall
0.86548 [0.861976,0.875]
recall
0.848665 [0.85521,0.830882]
recall
0.859545 [0.870095,0.830882]
recall
0.86548 [0.875507,0.838235]
recall
0.86548 [0.864682,0.867647]
recall
0.846686 [0.860622,0.808824]
recall
0.843719 [0.853857,0.816176]
recall
0.856578 [0.878214,0.797794]
recall
0.846686 [0.866035,0.794118]
recall
0.855589 [0.870095,0.816176]
recall
0.848665 [0.871448,0.786765]
recall
0.878338 [0.879567,0.875]
recall
0.834817 [0.847091,0.801471]
recall
0.86548 [0.882273,0.819853]
recall
0.848665 [0.863329,0.808824]
recall
0.858556 [0.867388,0.834559]
recall
0.855589 [0.879567,0.790441]
recall
0.858556 [0.887686,0.779412]
recall
0.847676 [0.857916,0.819853]
recall
0.839763 [0.848444,0.816176]
recall
0.855589 [0.874154,0.805147]
recall
0.859545 [0.875507,0.816176]
recall
0.872404 [0.866035,0.889706]
recall
0.847676 [0.856563,0.823529]
recall
0.838773 [0.857916,0.786765]
recall
0.857426 [0.861976,0.845018]
recall
0.849505 [0.859269,0.822878]
recall
0.850495 [0.856563,0.833948]
recall
0.869307 [0.891746,0.808118]
recall
0.843564 [0.849797,0.826568]
recall
0.843564 [0.863329,0.789668]
recall
0.859406 [0.886333,0.785978]
recall
0.866337 [0.876861,0.837638]
recall
0.852475 [0.861976,0.826568]
recall
0.850495 [0.861976,0.819188]
recall
0.850495 [0.870095,0.797048]
recall
0.844554 [0.860622,0.800738]
recall
0.874257 [0.887686,0.837638]
recall
0.844554 [0.856563,0.811808]
recall
0.866337 [0.872801,0.848708]
recall
0.835644 [0.848444,0.800738]
recall
0.855446 [0.85521,0.856089]
recall
0.841584 [0.871448,0.760148]
recall
0.872277 [0.88498,0.837638]
recall
0.850495 [0.848444,0.856089]
relative_absolute_error
0.396577
relative_absolute_error
0.389945
relative_absolute_error
0.38654
relative_absolute_error
0.399495
relative_absolute_error
0.361898
relative_absolute_error
0.41911
relative_absolute_error
0.384648
relative_absolute_error
0.442168
relative_absolute_error
0.414177
relative_absolute_error
0.410411
relative_absolute_error
0.407334
relative_absolute_error
0.420286
relative_absolute_error
0.418817
relative_absolute_error
0.376388
relative_absolute_error
0.402079
relative_absolute_error
0.369691
relative_absolute_error
0.44769
relative_absolute_error
0.366921
relative_absolute_error
0.432295
relative_absolute_error
0.355263
relative_absolute_error
0.373029
relative_absolute_error
0.388124
relative_absolute_error
0.377557
relative_absolute_error
0.349774
relative_absolute_error
0.411318
relative_absolute_error
0.353683
relative_absolute_error
0.39804
relative_absolute_error
0.414389
relative_absolute_error
0.372667
relative_absolute_error
0.402036
relative_absolute_error
0.387721
relative_absolute_error
0.372706
relative_absolute_error
0.405586
relative_absolute_error
0.432893
relative_absolute_error
0.410184
relative_absolute_error
0.395777
relative_absolute_error
0.42468
relative_absolute_error
0.385127
relative_absolute_error
0.422711
relative_absolute_error
0.3995
relative_absolute_error
0.412456
relative_absolute_error
0.35863
relative_absolute_error
0.418875
relative_absolute_error
0.396274
relative_absolute_error
0.382092
relative_absolute_error
0.380528
relative_absolute_error
0.393003
relative_absolute_error
0.381572
relative_absolute_error
0.418947
relative_absolute_error
0.365031
relative_absolute_error
0.400588
relative_absolute_error
0.408106
relative_absolute_error
0.41502
relative_absolute_error
0.386084
relative_absolute_error
0.394961
relative_absolute_error
0.377861
relative_absolute_error
0.420057
relative_absolute_error
0.386392
relative_absolute_error
0.355752
relative_absolute_error
0.366302
relative_absolute_error
0.413856
relative_absolute_error
0.405297
relative_absolute_error
0.391761
relative_absolute_error
0.422545
relative_absolute_error
0.398763
relative_absolute_error
0.410647
relative_absolute_error
0.346205
relative_absolute_error
0.426024
relative_absolute_error
0.380185
relative_absolute_error
0.410371
relative_absolute_error
0.369973
relative_absolute_error
0.398848
relative_absolute_error
0.387533
relative_absolute_error
0.4078
relative_absolute_error
0.428974
relative_absolute_error
0.387647
relative_absolute_error
0.385799
relative_absolute_error
0.360089
relative_absolute_error
0.430183
relative_absolute_error
0.430661
relative_absolute_error
0.402437
relative_absolute_error
0.402749
relative_absolute_error
0.399814
relative_absolute_error
0.370984
relative_absolute_error
0.404461
relative_absolute_error
0.425546
relative_absolute_error
0.369642
relative_absolute_error
0.37173
relative_absolute_error
0.385412
relative_absolute_error
0.423094
relative_absolute_error
0.399228
relative_absolute_error
0.411378
relative_absolute_error
0.355714
relative_absolute_error
0.422285
relative_absolute_error
0.374076
relative_absolute_error
0.444449
relative_absolute_error
0.391945
relative_absolute_error
0.424399
relative_absolute_error
0.346541
relative_absolute_error
0.398078
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.442945
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443461
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_prior_squared_error
0.443084
root_mean_squared_error
0.343897
root_mean_squared_error
0.341777
root_mean_squared_error
0.34003
root_mean_squared_error
0.3462
root_mean_squared_error
0.324313
root_mean_squared_error
0.357275
root_mean_squared_error
0.339033
root_mean_squared_error
0.368318
root_mean_squared_error
0.355306
root_mean_squared_error
0.353725
root_mean_squared_error
0.349376
root_mean_squared_error
0.351384
root_mean_squared_error
0.353535
root_mean_squared_error
0.33586
root_mean_squared_error
0.344352
root_mean_squared_error
0.329455
root_mean_squared_error
0.368139
root_mean_squared_error
0.333454
root_mean_squared_error
0.363125
root_mean_squared_error
0.328159
root_mean_squared_error
0.333551
root_mean_squared_error
0.34113
root_mean_squared_error
0.338836
root_mean_squared_error
0.314111
root_mean_squared_error
0.357462
root_mean_squared_error
0.323723
root_mean_squared_error
0.34432
root_mean_squared_error
0.349625
root_mean_squared_error
0.333279
root_mean_squared_error
0.348512
root_mean_squared_error
0.346234
root_mean_squared_error
0.331858
root_mean_squared_error
0.348462
root_mean_squared_error
0.366399
root_mean_squared_error
0.354611
root_mean_squared_error
0.340409
root_mean_squared_error
0.360525
root_mean_squared_error
0.344452
root_mean_squared_error
0.358035
root_mean_squared_error
0.344432
root_mean_squared_error
0.35306
root_mean_squared_error
0.324968
root_mean_squared_error
0.353759
root_mean_squared_error
0.345314
root_mean_squared_error
0.341434
root_mean_squared_error
0.335688
root_mean_squared_error
0.346954
root_mean_squared_error
0.338971
root_mean_squared_error
0.355267
root_mean_squared_error
0.331012
root_mean_squared_error
0.347037
root_mean_squared_error
0.355908
root_mean_squared_error
0.357261
root_mean_squared_error
0.340567
root_mean_squared_error
0.345268
root_mean_squared_error
0.338453
root_mean_squared_error
0.356586
root_mean_squared_error
0.339177
root_mean_squared_error
0.324601
root_mean_squared_error
0.323596
root_mean_squared_error
0.353407
root_mean_squared_error
0.356667
root_mean_squared_error
0.34077
root_mean_squared_error
0.356413
root_mean_squared_error
0.346409
root_mean_squared_error
0.35243
root_mean_squared_error
0.316571
root_mean_squared_error
0.361663
root_mean_squared_error
0.335088
root_mean_squared_error
0.353189
root_mean_squared_error
0.333233
root_mean_squared_error
0.34168
root_mean_squared_error
0.342106
root_mean_squared_error
0.353445
root_mean_squared_error
0.357208
root_mean_squared_error
0.34264
root_mean_squared_error
0.341623
root_mean_squared_error
0.328975
root_mean_squared_error
0.361214
root_mean_squared_error
0.360236
root_mean_squared_error
0.347361
root_mean_squared_error
0.349655
root_mean_squared_error
0.350189
root_mean_squared_error
0.330442
root_mean_squared_error
0.347492
root_mean_squared_error
0.361557
root_mean_squared_error
0.332336
root_mean_squared_error
0.329556
root_mean_squared_error
0.339381
root_mean_squared_error
0.360181
root_mean_squared_error
0.345549
root_mean_squared_error
0.352178
root_mean_squared_error
0.324062
root_mean_squared_error
0.361559
root_mean_squared_error
0.336685
root_mean_squared_error
0.371189
root_mean_squared_error
0.34317
root_mean_squared_error
0.353279
root_mean_squared_error
0.321488
root_mean_squared_error
0.347192
root_relative_squared_error
0.776389
root_relative_squared_error
0.771602
root_relative_squared_error
0.767657
root_relative_squared_error
0.781586
root_relative_squared_error
0.732174
root_relative_squared_error
0.806589
root_relative_squared_error
0.765406
root_relative_squared_error
0.831521
root_relative_squared_error
0.802144
root_relative_squared_error
0.798575
root_relative_squared_error
0.788756
root_relative_squared_error
0.793291
root_relative_squared_error
0.798146
root_relative_squared_error
0.758243
root_relative_squared_error
0.777416
root_relative_squared_error
0.743784
root_relative_squared_error
0.831116
root_relative_squared_error
0.752812
root_relative_squared_error
0.819798
root_relative_squared_error
0.740857
root_relative_squared_error
0.75303
root_relative_squared_error
0.770141
root_relative_squared_error
0.764961
root_relative_squared_error
0.709143
root_relative_squared_error
0.807013
root_relative_squared_error
0.730844
root_relative_squared_error
0.777342
root_relative_squared_error
0.78932
root_relative_squared_error
0.752417
root_relative_squared_error
0.786807
root_relative_squared_error
0.780754
root_relative_squared_error
0.748336
root_relative_squared_error
0.785777
root_relative_squared_error
0.826227
root_relative_squared_error
0.799644
root_relative_squared_error
0.767618
root_relative_squared_error
0.812979
root_relative_squared_error
0.776735
root_relative_squared_error
0.807365
root_relative_squared_error
0.776691
root_relative_squared_error
0.796147
root_relative_squared_error
0.7328
root_relative_squared_error
0.797722
root_relative_squared_error
0.77868
root_relative_squared_error
0.76993
root_relative_squared_error
0.756973
root_relative_squared_error
0.782377
root_relative_squared_error
0.764377
root_relative_squared_error
0.801123
root_relative_squared_error
0.746428
root_relative_squared_error
0.782564
root_relative_squared_error
0.802569
root_relative_squared_error
0.805619
root_relative_squared_error
0.767975
root_relative_squared_error
0.778576
root_relative_squared_error
0.763208
root_relative_squared_error
0.804098
root_relative_squared_error
0.764841
root_relative_squared_error
0.731971
root_relative_squared_error
0.729705
root_relative_squared_error
0.796928
root_relative_squared_error
0.804281
root_relative_squared_error
0.768433
root_relative_squared_error
0.803708
root_relative_squared_error
0.781148
root_relative_squared_error
0.794726
root_relative_squared_error
0.713864
root_relative_squared_error
0.815545
root_relative_squared_error
0.755619
root_relative_squared_error
0.796437
root_relative_squared_error
0.751437
root_relative_squared_error
0.770485
root_relative_squared_error
0.771445
root_relative_squared_error
0.797013
root_relative_squared_error
0.8055
root_relative_squared_error
0.772649
root_relative_squared_error
0.770355
root_relative_squared_error
0.741835
root_relative_squared_error
0.814534
root_relative_squared_error
0.812328
root_relative_squared_error
0.783962
root_relative_squared_error
0.789141
root_relative_squared_error
0.790345
root_relative_squared_error
0.745779
root_relative_squared_error
0.784259
root_relative_squared_error
0.816002
root_relative_squared_error
0.750052
root_relative_squared_error
0.74378
root_relative_squared_error
0.765953
root_relative_squared_error
0.812896
root_relative_squared_error
0.779874
root_relative_squared_error
0.794835
root_relative_squared_error
0.731379
root_relative_squared_error
0.816006
root_relative_squared_error
0.759869
root_relative_squared_error
0.83774
root_relative_squared_error
0.774503
root_relative_squared_error
0.79732
root_relative_squared_error
0.725571
root_relative_squared_error
0.783582
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
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
60
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
40
usercpu_time_millis
70
usercpu_time_millis
50
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
80
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
50
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
50
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
50
usercpu_time_millis
60
usercpu_time_millis
80
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
50
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
50
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
50
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
50
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
40
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
50
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
50
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
70
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
80
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
90
usercpu_time_millis
50
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
usercpu_time_millis
60
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
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
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
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
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
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
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
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
10
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
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
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
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
10
usercpu_time_millis_testing
10
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
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_training
50
usercpu_time_millis_training
60
usercpu_time_millis_training
60
usercpu_time_millis_training
50
usercpu_time_millis_training
40
usercpu_time_millis_training
60
usercpu_time_millis_training
40
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
70
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
40
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
60
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
40
usercpu_time_millis_training
60
usercpu_time_millis_training
60
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
60
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
60
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
60
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
70
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
60
usercpu_time_millis_training
50
usercpu_time_millis_training
40
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
40
usercpu_time_millis_training
60
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
60
usercpu_time_millis_training
50
usercpu_time_millis_training
60
usercpu_time_millis_training
40
usercpu_time_millis_training
60
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
40
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
40
usercpu_time_millis_training
50
usercpu_time_millis_training
60
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
60
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
70
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
80
usercpu_time_millis_training
40
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50
usercpu_time_millis_training
50