453578
2
Joaquin Vanschoren
4549
Supervised Classification
predictive_accuracy
1199
weka.ADTree(4)
2069
weka.classifiers.trees.ADTree -- -B 10 -E -3 -S 1
B
10
1199
E
-3
1199
S
1
1199
weka
weka_3.7.12
981
kdd_internet_usage
https://www.openml.org/data/download/53515/kdd_internet_usage.arff
-1
1591616
description
https://api.openml.org/data/download/1591616/weka_generated_run6071865057435192623.xml
-1
1591618
model_readable
https://api.openml.org/data/download/1591618/WekaModel_weka.classifiers.trees.ADTree868005096730701884.model
-1
1591617
model_serialized
https://api.openml.org/data/download/1591617/WekaSerialized_weka.classifiers.trees.ADTree8231677191367892461.model
-1
1591619
predictions
https://api.openml.org/data/download/1591619/weka_generated_predictions4415693890011142437.arff
area_under_roc_curve
0.947466 [0.947466,0.947466]
average_cost
0
f_measure
0.896012 [0.928913,0.806424]
kappa
0.735337
kb_relative_information_score
51038.702434
mean_absolute_error
0.194133
mean_prior_absolute_error
0.392928
number_of_instances
101080 [73930,27150]
os_information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
precision
0.896012 [0.928907,0.806439]
predictive_accuracy
0.896013
prior_entropy
0.839513
recall
0.896013 [0.928919,0.806409]
relative_absolute_error
0.494068
root_mean_prior_squared_error
0.443231
root_mean_squared_error
0.282607
root_relative_squared_error
0.637606
scimark_benchmark
908.95685 [482.3674420247276, 1027.7093376, 337.4424419825379, 645.6748859472447, 2051.5901448167365]
total_cost
0
usercpu_time_millis
1390
usercpu_time_millis_testing
10
usercpu_time_millis_training
1380
area_under_roc_curve
0.93877 [0.93877,0.93877]
area_under_roc_curve
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area_under_roc_curve
0.947482 [0.947482,0.947482]
area_under_roc_curve
0.950449 [0.950449,0.950449]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.951272 [0.951272,0.951272]
area_under_roc_curve
0.954795 [0.954795,0.954795]
area_under_roc_curve
0.958741 [0.958741,0.958741]
area_under_roc_curve
0.947265 [0.947265,0.947265]
area_under_roc_curve
0.945612 [0.945612,0.945612]
area_under_roc_curve
0.960484 [0.960484,0.960484]
area_under_roc_curve
0.952092 [0.952092,0.952092]
area_under_roc_curve
0.951538 [0.951538,0.951538]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.944219 [0.944219,0.944219]
area_under_roc_curve
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area_under_roc_curve
0.945186 [0.945186,0.945186]
area_under_roc_curve
0.951885 [0.951885,0.951885]
area_under_roc_curve
0.946136 [0.946136,0.946136]
area_under_roc_curve
0.949251 [0.949251,0.949251]
area_under_roc_curve
0.951631 [0.951631,0.951631]
area_under_roc_curve
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area_under_roc_curve
0.944137 [0.944137,0.944137]
area_under_roc_curve
0.943714 [0.943714,0.943714]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.945751 [0.945751,0.945751]
area_under_roc_curve
0.950539 [0.950539,0.950539]
area_under_roc_curve
0.947146 [0.947146,0.947146]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.949042 [0.949042,0.949042]
area_under_roc_curve
0.953768 [0.953768,0.953768]
area_under_roc_curve
0.945186 [0.945186,0.945186]
area_under_roc_curve
0.951706 [0.951706,0.951706]
area_under_roc_curve
0.953805 [0.953805,0.953805]
area_under_roc_curve
0.943719 [0.943719,0.943719]
area_under_roc_curve
0.955089 [0.955089,0.955089]
area_under_roc_curve
0.94206 [0.94206,0.94206]
area_under_roc_curve
0.941883 [0.941883,0.941883]
area_under_roc_curve
0.945324 [0.945324,0.945324]
area_under_roc_curve
0.946624 [0.946624,0.946624]
area_under_roc_curve
0.941252 [0.941252,0.941252]
area_under_roc_curve
0.951628 [0.951628,0.951628]
area_under_roc_curve
0.946445 [0.946445,0.946445]
area_under_roc_curve
0.946195 [0.946195,0.946195]
area_under_roc_curve
0.954391 [0.954391,0.954391]
area_under_roc_curve
0.957277 [0.957277,0.957277]
area_under_roc_curve
0.951218 [0.951218,0.951218]
area_under_roc_curve
0.94027 [0.94027,0.94027]
area_under_roc_curve
0.95331 [0.95331,0.95331]
area_under_roc_curve
0.943087 [0.943087,0.943087]
area_under_roc_curve
0.949763 [0.949763,0.949763]
area_under_roc_curve
0.938982 [0.938982,0.938982]
area_under_roc_curve
0.949248 [0.949248,0.949248]
area_under_roc_curve
0.940515 [0.940515,0.940515]
area_under_roc_curve
0.948107 [0.948107,0.948107]
area_under_roc_curve
0.944108 [0.944108,0.944108]
area_under_roc_curve
0.947139 [0.947139,0.947139]
area_under_roc_curve
0.956171 [0.956171,0.956171]
average_cost
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0
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f_measure
0.88158 [0.918699,0.78022]
f_measure
0.89911 [0.931081,0.811808]
f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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kb_relative_information_score
507.650614
kb_relative_information_score
490.592129
kb_relative_information_score
534.836083
kb_relative_information_score
542.274506
kb_relative_information_score
534.450071
kb_relative_information_score
469.811269
kb_relative_information_score
504.848028
kb_relative_information_score
528.848861
kb_relative_information_score
493.524687
kb_relative_information_score
491.405138
kb_relative_information_score
529.314278
kb_relative_information_score
484.988203
kb_relative_information_score
489.19602
kb_relative_information_score
515.324508
kb_relative_information_score
481.966892
kb_relative_information_score
533.957704
kb_relative_information_score
491.923323
kb_relative_information_score
529.688187
kb_relative_information_score
498.225124
kb_relative_information_score
525.4127
kb_relative_information_score
504.949443
kb_relative_information_score
511.079286
kb_relative_information_score
484.329203
kb_relative_information_score
512.188947
kb_relative_information_score
530.261444
kb_relative_information_score
527.25112
kb_relative_information_score
507.011225
kb_relative_information_score
513.606651
kb_relative_information_score
505.458273
kb_relative_information_score
489.248162
kb_relative_information_score
499.729875
kb_relative_information_score
524.908414
kb_relative_information_score
497.785297
kb_relative_information_score
474.490265
kb_relative_information_score
489.760726
kb_relative_information_score
532.627366
kb_relative_information_score
569.208647
kb_relative_information_score
505.499232
kb_relative_information_score
530.19235
kb_relative_information_score
523.330776
kb_relative_information_score
490.407749
kb_relative_information_score
496.552112
kb_relative_information_score
539.350698
kb_relative_information_score
535.986402
kb_relative_information_score
506.10299
kb_relative_information_score
502.778107
kb_relative_information_score
542.095287
kb_relative_information_score
514.044675
kb_relative_information_score
487.972532
kb_relative_information_score
504.055873
kb_relative_information_score
549.00397
kb_relative_information_score
477.289558
kb_relative_information_score
508.944374
kb_relative_information_score
518.554183
kb_relative_information_score
507.936488
kb_relative_information_score
510.16108
kb_relative_information_score
489.577791
kb_relative_information_score
479.418241
kb_relative_information_score
510.785033
kb_relative_information_score
513.498593
kb_relative_information_score
482.785823
kb_relative_information_score
518.457137
kb_relative_information_score
474.043871
kb_relative_information_score
486.719302
kb_relative_information_score
543.826689
kb_relative_information_score
539.963884
kb_relative_information_score
517.652601
kb_relative_information_score
496.135314
kb_relative_information_score
508.979901
kb_relative_information_score
503.608287
kb_relative_information_score
520.105886
kb_relative_information_score
503.07868
kb_relative_information_score
506.815107
kb_relative_information_score
501.045988
kb_relative_information_score
507.460301
kb_relative_information_score
492.421104
kb_relative_information_score
524.178887
kb_relative_information_score
515.376227
mean_absolute_error
0.201072
mean_absolute_error
0.203723
mean_absolute_error
0.199509
mean_absolute_error
0.182674
mean_absolute_error
0.190391
mean_absolute_error
0.191725
mean_absolute_error
0.191185
mean_absolute_error
0.194092
mean_absolute_error
0.18686
mean_absolute_error
0.187848
mean_absolute_error
0.183664
mean_absolute_error
0.20133
mean_absolute_error
0.196976
mean_absolute_error
0.187675
mean_absolute_error
0.194678
mean_absolute_error
0.188499
mean_absolute_error
0.193315
mean_absolute_error
0.205415
mean_absolute_error
0.19988
mean_absolute_error
0.190021
mean_absolute_error
0.178722
mean_absolute_error
0.190453
mean_absolute_error
0.194051
mean_absolute_error
0.202401
mean_absolute_error
0.185863
mean_absolute_error
0.181025
mean_absolute_error
0.184502
mean_absolute_error
0.208622
mean_absolute_error
0.195031
mean_absolute_error
0.18583
mean_absolute_error
0.2024
mean_absolute_error
0.2026
mean_absolute_error
0.187284
mean_absolute_error
0.202128
mean_absolute_error
0.203148
mean_absolute_error
0.194454
mean_absolute_error
0.204946
mean_absolute_error
0.186137
mean_absolute_error
0.19882
mean_absolute_error
0.186235
mean_absolute_error
0.198525
mean_absolute_error
0.190621
mean_absolute_error
0.196489
mean_absolute_error
0.192186
mean_absolute_error
0.203663
mean_absolute_error
0.191989
mean_absolute_error
0.186952
mean_absolute_error
0.185661
mean_absolute_error
0.193884
mean_absolute_error
0.194501
mean_absolute_error
0.199402
mean_absolute_error
0.202766
mean_absolute_error
0.196765
mean_absolute_error
0.190051
mean_absolute_error
0.198131
mean_absolute_error
0.209403
mean_absolute_error
0.202591
mean_absolute_error
0.1853
mean_absolute_error
0.174978
mean_absolute_error
0.197018
mean_absolute_error
0.186609
mean_absolute_error
0.187491
mean_absolute_error
0.203243
mean_absolute_error
0.201814
mean_absolute_error
0.184272
mean_absolute_error
0.184233
mean_absolute_error
0.198036
mean_absolute_error
0.195896
mean_absolute_error
0.18313
mean_absolute_error
0.19492
mean_absolute_error
0.204382
mean_absolute_error
0.197738
mean_absolute_error
0.181118
mean_absolute_error
0.207129
mean_absolute_error
0.195852
mean_absolute_error
0.192155
mean_absolute_error
0.195848
mean_absolute_error
0.195379
mean_absolute_error
0.20093
mean_absolute_error
0.205117
mean_absolute_error
0.190633
mean_absolute_error
0.190344
mean_absolute_error
0.199579
mean_absolute_error
0.191757
mean_absolute_error
0.208831
mean_absolute_error
0.204164
mean_absolute_error
0.181194
mean_absolute_error
0.183305
mean_absolute_error
0.190941
mean_absolute_error
0.196968
mean_absolute_error
0.19583
mean_absolute_error
0.195806
mean_absolute_error
0.192725
mean_absolute_error
0.193461
mean_absolute_error
0.194384
mean_absolute_error
0.195092
mean_absolute_error
0.193088
mean_absolute_error
0.200469
mean_absolute_error
0.19
mean_absolute_error
0.193408
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
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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0.392675
mean_prior_absolute_error
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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
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0.392675
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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
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0.393133
mean_prior_absolute_error
0.392798
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mean_prior_absolute_error
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0.392798
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mean_prior_absolute_error
0.392798
mean_prior_absolute_error
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number_of_instances
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number_of_instances
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number_of_instances
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precision
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precision
0.89911 [0.931081,0.811808]
precision
0.901844 [0.935967,0.808664]
precision
0.911668 [0.942779,0.826715]
precision
0.898201 [0.934426,0.799283]
precision
0.907535 [0.924084,0.862348]
precision
0.89764 [0.932065,0.803636]
precision
0.896266 [0.929635,0.805147]
precision
0.894471 [0.918314,0.829365]
precision
0.892314 [0.926928,0.797794]
precision
0.912957 [0.940541,0.837638]
precision
0.893189 [0.922563,0.812977]
precision
0.890093 [0.92,0.808429]
precision
0.9033 [0.934959,0.81685]
precision
0.897385 [0.918635,0.839357]
precision
0.90466 [0.937415,0.815217]
precision
0.886124 [0.925068,0.779783]
precision
0.90451 [0.943292,0.798611]
precision
0.888362 [0.924222,0.790441]
precision
0.898879 [0.924303,0.829457]
precision
0.910561 [0.941497,0.826087]
precision
0.904408 [0.936228,0.817518]
precision
0.900162 [0.935792,0.802867]
precision
0.896472 [0.926273,0.815094]
precision
0.909221 [0.939024,0.827839]
precision
0.897132 [0.92973,0.808118]
precision
0.909001 [0.937838,0.830258]
precision
0.898493 [0.932157,0.806569]
precision
0.891732 [0.927989,0.792727]
precision
0.894479 [0.924933,0.811321]
precision
0.891456 [0.92673,0.79562]
precision
0.896741 [0.921751,0.828794]
precision
0.892491 [0.92349,0.808271]
precision
0.883284 [0.920162,0.783088]
precision
0.890718 [0.923284,0.802239]
precision
0.895669 [0.92053,0.828125]
precision
0.880611 [0.911141,0.797665]
precision
0.897956 [0.924101,0.826923]
precision
0.874329 [0.91678,0.758993]
precision
0.898004 [0.92973,0.811808]
precision
0.894548 [0.929348,0.8]
precision
0.897132 [0.929635,0.808824]
precision
0.897363 [0.934247,0.797153]
precision
0.897636 [0.931973,0.804348]
precision
0.871736 [0.900524,0.793522]
precision
0.894273 [0.931601,0.792857]
precision
0.897069 [0.93306,0.799283]
precision
0.885941 [0.927198,0.773852]
precision
0.896788 [0.93188,0.801444]
precision
0.901752 [0.931267,0.821561]
precision
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precision
0.886662 [0.923913,0.785455]
precision
0.886952 [0.925068,0.783394]
precision
0.905926 [0.935135,0.826568]
precision
0.887896 [0.928571,0.777385]
precision
0.895231 [0.935172,0.786713]
precision
0.886514 [0.919463,0.796992]
precision
0.898889 [0.924202,0.830116]
precision
0.914048 [0.941734,0.838828]
precision
0.907157 [0.941096,0.814947]
precision
0.893592 [0.924731,0.808989]
precision
0.891806 [0.931319,0.784452]
precision
0.903544 [0.936054,0.815217]
precision
0.893979 [0.930423,0.794964]
precision
0.900217 [0.932249,0.813187]
precision
0.911074 [0.943836,0.822064]
precision
0.903544 [0.936054,0.815217]
precision
0.883884 [0.919137,0.788104]
precision
0.905722 [0.933962,0.828996]
precision
0.898882 [0.929825,0.814815]
precision
0.897636 [0.931973,0.804348]
precision
0.895404 [0.929444,0.80292]
precision
0.910773 [0.929894,0.858824]
precision
0.889482 [0.925373,0.791971]
precision
0.900281 [0.927711,0.825758]
precision
0.898004 [0.92973,0.811808]
precision
0.897377 [0.926273,0.818868]
precision
0.904975 [0.942069,0.804196]
precision
0.886662 [0.923913,0.785455]
precision
0.880611 [0.911141,0.797665]
precision
0.888854 [0.932133,0.770833]
precision
0.89505 [0.928281,0.804428]
precision
0.878353 [0.925104,0.750865]
precision
0.900793 [0.925532,0.833333]
precision
0.897898 [0.936639,0.792254]
precision
0.884875 [0.916,0.8]
precision
0.903262 [0.930295,0.829545]
precision
0.908486 [0.943604,0.812721]
precision
0.904831 [0.938525,0.81295]
precision
0.885384 [0.928276,0.768421]
precision
0.891513 [0.917881,0.819608]
precision
0.894185 [0.928184,0.801471]
precision
0.902096 [0.933604,0.816176]
precision
0.881472 [0.919946,0.776557]
precision
0.900668 [0.938102,0.798587]
precision
0.878362 [0.917344,0.772059]
precision
0.896441 [0.934156,0.793594]
precision
0.891084 [0.913499,0.82996]
precision
0.907815 [0.936486,0.82963]
precision
0.902025 [0.937073,0.806452]
predictive_accuracy
0.881306
predictive_accuracy
0.89911
predictive_accuracy
0.901088
predictive_accuracy
0.910979
predictive_accuracy
0.897132
predictive_accuracy
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predictive_accuracy
0.897132
predictive_accuracy
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predictive_accuracy
0.896142
predictive_accuracy
0.892186
predictive_accuracy
0.912957
predictive_accuracy
0.894164
predictive_accuracy
0.891197
predictive_accuracy
0.903066
predictive_accuracy
0.89911
predictive_accuracy
0.904055
predictive_accuracy
0.885262
predictive_accuracy
0.902077
predictive_accuracy
0.888229
predictive_accuracy
0.900099
predictive_accuracy
0.90999
predictive_accuracy
0.904055
predictive_accuracy
0.89911
predictive_accuracy
0.897132
predictive_accuracy
0.909001
predictive_accuracy
0.897132
predictive_accuracy
0.909001
predictive_accuracy
0.898121
predictive_accuracy
0.891197
predictive_accuracy
0.895153
predictive_accuracy
0.891197
predictive_accuracy
0.898121
predictive_accuracy
0.893175
predictive_accuracy
0.883284
predictive_accuracy
0.891197
predictive_accuracy
0.897132
predictive_accuracy
0.882295
predictive_accuracy
0.89911
predictive_accuracy
0.873393
predictive_accuracy
0.898121
predictive_accuracy
0.894164
predictive_accuracy
0.897132
predictive_accuracy
0.896142
predictive_accuracy
0.897132
predictive_accuracy
0.874382
predictive_accuracy
0.893175
predictive_accuracy
0.896142
predictive_accuracy
0.884273
predictive_accuracy
0.896142
predictive_accuracy
0.902077
predictive_accuracy
0.89911
predictive_accuracy
0.886251
predictive_accuracy
0.886251
predictive_accuracy
0.906034
predictive_accuracy
0.886251
predictive_accuracy
0.893175
predictive_accuracy
0.88724
predictive_accuracy
0.900099
predictive_accuracy
0.913947
predictive_accuracy
0.906034
predictive_accuracy
0.894164
predictive_accuracy
0.890208
predictive_accuracy
0.903066
predictive_accuracy
0.893175
predictive_accuracy
0.900099
predictive_accuracy
0.90999
predictive_accuracy
0.903066
predictive_accuracy
0.884273
predictive_accuracy
0.906034
predictive_accuracy
0.89911
predictive_accuracy
0.897132
predictive_accuracy
0.895153
predictive_accuracy
0.911968
predictive_accuracy
0.889219
predictive_accuracy
0.901088
predictive_accuracy
0.898121
predictive_accuracy
0.898121
predictive_accuracy
0.903066
predictive_accuracy
0.886251
predictive_accuracy
0.882295
predictive_accuracy
0.886139
predictive_accuracy
0.89505
predictive_accuracy
0.875248
predictive_accuracy
0.90198
predictive_accuracy
0.89604
predictive_accuracy
0.886139
predictive_accuracy
0.90396
predictive_accuracy
0.906931
predictive_accuracy
0.90396
predictive_accuracy
0.883168
predictive_accuracy
0.893069
predictive_accuracy
0.894059
predictive_accuracy
0.90198
predictive_accuracy
0.881188
predictive_accuracy
0.89901
predictive_accuracy
0.878218
predictive_accuracy
0.89505
predictive_accuracy
0.893069
predictive_accuracy
0.907921
predictive_accuracy
0.90099
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
0.881306 [0.916216,0.785978]
recall
0.89911 [0.931081,0.811808]
recall
0.901088 [0.928378,0.826568]
recall
0.910979 [0.935135,0.845018]
recall
0.897132 [0.924324,0.822878]
recall
0.909001 [0.954054,0.785978]
recall
0.897132 [0.927027,0.815498]
recall
0.896142 [0.928378,0.808118]
recall
0.896142 [0.941892,0.771218]
recall
0.892186 [0.925676,0.800738]
recall
0.912957 [0.940541,0.837638]
recall
0.894164 [0.933784,0.785978]
recall
0.891197 [0.932432,0.778598]
recall
0.903066 [0.932432,0.822878]
recall
0.89911 [0.945946,0.771218]
recall
0.904055 [0.931081,0.830258]
recall
0.885262 [0.917568,0.797048]
recall
0.902077 [0.921622,0.848708]
recall
0.888229 [0.922973,0.793358]
recall
0.900099 [0.940541,0.789668]
recall
0.90999 [0.935135,0.841328]
recall
0.904055 [0.932432,0.826568]
recall
0.89911 [0.925676,0.826568]
recall
0.897132 [0.933784,0.797048]
recall
0.909001 [0.936486,0.833948]
recall
0.897132 [0.92973,0.808118]
recall
0.909001 [0.937838,0.830258]
recall
0.898121 [0.928378,0.815498]
recall
0.891197 [0.922973,0.804428]
recall
0.895153 [0.932432,0.793358]
recall
0.891197 [0.924222,0.801471]
recall
0.898121 [0.94046,0.783088]
recall
0.893175 [0.930988,0.790441]
recall
0.883284 [0.920162,0.783088]
recall
0.891197 [0.928281,0.790441]
recall
0.897132 [0.94046,0.779412]
recall
0.882295 [0.929635,0.753676]
recall
0.89911 [0.939107,0.790441]
recall
0.873393 [0.909337,0.775735]
recall
0.898121 [0.930988,0.808824]
recall
0.894164 [0.925575,0.808824]
recall
0.897132 [0.929635,0.808824]
recall
0.896142 [0.922869,0.823529]
recall
0.897132 [0.926928,0.816176]
recall
0.874382 [0.930988,0.720588]
recall
0.893175 [0.921516,0.816176]
recall
0.896142 [0.924222,0.819853]
recall
0.884273 [0.913396,0.805147]
recall
0.896142 [0.925575,0.816176]
recall
0.902077 [0.935047,0.8125]
recall
0.89911 [0.932341,0.808824]
recall
0.886251 [0.920162,0.794118]
recall
0.886251 [0.918809,0.797794]
recall
0.906034 [0.936401,0.823529]
recall
0.886251 [0.91475,0.808824]
recall
0.893175 [0.917456,0.827206]
recall
0.88724 [0.926928,0.779412]
recall
0.900099 [0.94046,0.790441]
recall
0.913947 [0.94046,0.841912]
recall
0.906034 [0.929635,0.841912]
recall
0.894164 [0.930988,0.794118]
recall
0.890208 [0.917456,0.816176]
recall
0.903066 [0.930988,0.827206]
recall
0.893175 [0.922869,0.8125]
recall
0.900099 [0.930988,0.816176]
recall
0.90999 [0.932341,0.849265]
recall
0.903066 [0.930988,0.827206]
recall
0.884273 [0.922869,0.779412]
recall
0.906034 [0.937754,0.819853]
recall
0.89911 [0.932341,0.808824]
recall
0.897132 [0.926928,0.816176]
recall
0.895153 [0.926928,0.808824]
recall
0.911968 [0.951286,0.805147]
recall
0.889219 [0.922869,0.797794]
recall
0.901088 [0.937754,0.801471]
recall
0.898121 [0.930988,0.808824]
recall
0.898121 [0.935047,0.797794]
recall
0.903066 [0.924222,0.845588]
recall
0.886251 [0.920162,0.794118]
recall
0.882295 [0.929635,0.753676]
recall
0.886139 [0.91069,0.819188]
recall
0.89505 [0.928281,0.804428]
recall
0.875248 [0.902571,0.800738]
recall
0.90198 [0.941813,0.793358]
recall
0.89604 [0.920162,0.830258]
recall
0.886139 [0.929635,0.767528]
recall
0.90396 [0.939107,0.808118]
recall
0.906931 [0.928281,0.848708]
recall
0.90396 [0.929635,0.833948]
recall
0.883168 [0.91069,0.808118]
recall
0.893069 [0.937754,0.771218]
recall
0.894059 [0.926928,0.804428]
recall
0.90198 [0.932341,0.819188]
recall
0.881188 [0.917456,0.782288]
recall
0.89901 [0.922869,0.833948]
recall
0.878218 [0.916103,0.774908]
recall
0.89505 [0.921516,0.822878]
recall
0.893069 [0.943166,0.756458]
recall
0.907921 [0.937754,0.826568]
recall
0.90099 [0.926928,0.830258]
relative_absolute_error
0.512058
relative_absolute_error
0.518807
relative_absolute_error
0.508078
relative_absolute_error
0.465204
relative_absolute_error
0.484856
relative_absolute_error
0.488253
relative_absolute_error
0.48688
relative_absolute_error
0.494281
relative_absolute_error
0.475863
relative_absolute_error
0.478381
relative_absolute_error
0.467725
relative_absolute_error
0.512714
relative_absolute_error
0.501625
relative_absolute_error
0.477939
relative_absolute_error
0.495773
relative_absolute_error
0.480039
relative_absolute_error
0.492302
relative_absolute_error
0.523116
relative_absolute_error
0.509022
relative_absolute_error
0.483914
relative_absolute_error
0.45514
relative_absolute_error
0.485015
relative_absolute_error
0.494177
relative_absolute_error
0.515442
relative_absolute_error
0.473325
relative_absolute_error
0.461006
relative_absolute_error
0.46986
relative_absolute_error
0.531283
relative_absolute_error
0.496673
relative_absolute_error
0.473242
relative_absolute_error
0.51484
relative_absolute_error
0.515348
relative_absolute_error
0.476389
relative_absolute_error
0.514147
relative_absolute_error
0.516742
relative_absolute_error
0.494627
relative_absolute_error
0.521316
relative_absolute_error
0.473471
relative_absolute_error
0.505731
relative_absolute_error
0.473722
relative_absolute_error
0.504983
relative_absolute_error
0.484876
relative_absolute_error
0.499803
relative_absolute_error
0.488857
relative_absolute_error
0.518051
relative_absolute_error
0.488358
relative_absolute_error
0.475543
relative_absolute_error
0.47226
relative_absolute_error
0.493176
relative_absolute_error
0.494745
relative_absolute_error
0.507214
relative_absolute_error
0.51577
relative_absolute_error
0.500505
relative_absolute_error
0.483427
relative_absolute_error
0.503981
relative_absolute_error
0.532653
relative_absolute_error
0.515324
relative_absolute_error
0.471342
relative_absolute_error
0.445088
relative_absolute_error
0.501148
relative_absolute_error
0.474671
relative_absolute_error
0.476916
relative_absolute_error
0.516984
relative_absolute_error
0.513349
relative_absolute_error
0.468728
relative_absolute_error
0.468629
relative_absolute_error
0.503739
relative_absolute_error
0.498294
relative_absolute_error
0.465823
relative_absolute_error
0.495813
relative_absolute_error
0.519882
relative_absolute_error
0.50298
relative_absolute_error
0.460706
relative_absolute_error
0.526867
relative_absolute_error
0.498183
relative_absolute_error
0.488778
relative_absolute_error
0.498172
relative_absolute_error
0.49698
relative_absolute_error
0.5111
relative_absolute_error
0.52175
relative_absolute_error
0.485321
relative_absolute_error
0.484585
relative_absolute_error
0.508097
relative_absolute_error
0.488183
relative_absolute_error
0.531651
relative_absolute_error
0.519769
relative_absolute_error
0.461292
relative_absolute_error
0.466666
relative_absolute_error
0.486105
relative_absolute_error
0.501448
relative_absolute_error
0.49855
relative_absolute_error
0.49849
relative_absolute_error
0.490648
relative_absolute_error
0.492522
relative_absolute_error
0.49487
relative_absolute_error
0.496673
relative_absolute_error
0.49157
relative_absolute_error
0.510361
relative_absolute_error
0.483708
relative_absolute_error
0.492385
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
0.293313
root_mean_squared_error
0.286285
root_mean_squared_error
0.28061
root_mean_squared_error
0.270812
root_mean_squared_error
0.282396
root_mean_squared_error
0.280315
root_mean_squared_error
0.280407
root_mean_squared_error
0.280029
root_mean_squared_error
0.28356
root_mean_squared_error
0.282186
root_mean_squared_error
0.272192
root_mean_squared_error
0.286925
root_mean_squared_error
0.288292
root_mean_squared_error
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