333989
2
Joaquin Vanschoren
4601
Supervised Classification
predictive_accuracy
1185
weka.Bagging_REPTree(8)
2032
weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 10 -W weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0
M
2
1077
V
0.001
1077
N
3
1077
S
1
1077
L
-1
1077
I
0.0
1077
P
100
1185
S
1
1185
num-slots
1
1185
I
10
1185
W
weka.classifiers.trees.REPTree
1185
weka
weka_3.7.12
1043
ada_agnostic
https://www.openml.org/data/download/53926/ada_agnostic.arff
-1
1143690
description
https://api.openml.org/data/download/1143690/weka_generated_run6513280029172694702.xml
-1
1143693
model_readable
https://api.openml.org/data/download/1143693/WekaModel_weka.classifiers.meta.Bagging2794926392474290648.model
-1
1143692
model_serialized
https://api.openml.org/data/download/1143692/WekaSerialized_weka.classifiers.meta.Bagging6268973489641484314.model
-1
1143691
predictions
https://api.openml.org/data/download/1143691/weka_generated_predictions6013661873986369217.arff
area_under_roc_curve
0.890861 [0.890861,0.890861]
average_cost
0
f_measure
0.84174 [0.902285,0.658288]
kappa
0.562253
kb_relative_information_score
19263.478465
mean_absolute_error
0.207247
mean_prior_absolute_error
0.373185
number_of_instances
45620 [34300,11320]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.841391 [0.873346,0.744565]
predictive_accuracy
0.848027
prior_entropy
0.808488
recall
0.848027 [0.933207,0.589929]
relative_absolute_error
0.555346
root_mean_prior_squared_error
0.431932
root_mean_squared_error
0.328318
root_relative_squared_error
0.760115
scimark_benchmark
1299.671908 [771.7878970620986, 949.706735503843, 518.9665640553163, 1003.2300360483792, 3254.6683076533686]
total_cost
0
usercpu_time_millis
2200
usercpu_time_millis_testing
10
usercpu_time_millis_training
2190
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0.881029 [0.881029,0.881029]
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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
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area_under_roc_curve
0.878493 [0.878493,0.878493]
area_under_roc_curve
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area_under_roc_curve
0.89765 [0.89765,0.89765]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.877461 [0.877461,0.877461]
area_under_roc_curve
0.893534 [0.893534,0.893534]
area_under_roc_curve
0.89654 [0.89654,0.89654]
area_under_roc_curve
0.877035 [0.877035,0.877035]
area_under_roc_curve
0.879705 [0.879705,0.879705]
area_under_roc_curve
0.904461 [0.904461,0.904461]
area_under_roc_curve
0.925798 [0.925798,0.925798]
area_under_roc_curve
0.900281 [0.900281,0.900281]
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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f_measure
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f_measure
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202.399534
kb_relative_information_score
192.044917
kb_relative_information_score
207.770761
kb_relative_information_score
195.802422
kb_relative_information_score
190.739936
kb_relative_information_score
194.414148
kb_relative_information_score
189.130653
kb_relative_information_score
180.433467
kb_relative_information_score
201.952302
kb_relative_information_score
199.613156
kb_relative_information_score
199.769084
kb_relative_information_score
204.538027
kb_relative_information_score
212.282292
kb_relative_information_score
178.746226
kb_relative_information_score
176.788182
kb_relative_information_score
187.951897
kb_relative_information_score
183.556138
kb_relative_information_score
174.619809
kb_relative_information_score
178.912265
kb_relative_information_score
199.359724
kb_relative_information_score
218.786365
kb_relative_information_score
210.912375
kb_relative_information_score
168.325847
kb_relative_information_score
193.602911
kb_relative_information_score
212.127829
kb_relative_information_score
197.992373
kb_relative_information_score
182.05176
kb_relative_information_score
192.581799
kb_relative_information_score
199.843921
kb_relative_information_score
195.763855
kb_relative_information_score
195.015369
kb_relative_information_score
200.634962
kb_relative_information_score
213.629987
kb_relative_information_score
174.073978
kb_relative_information_score
178.97915
kb_relative_information_score
166.479057
kb_relative_information_score
197.45074
kb_relative_information_score
199.108394
kb_relative_information_score
196.379165
kb_relative_information_score
179.47019
kb_relative_information_score
196.323386
kb_relative_information_score
202.183149
kb_relative_information_score
176.314665
kb_relative_information_score
195.244232
kb_relative_information_score
183.776245
kb_relative_information_score
199.986552
kb_relative_information_score
198.22113
kb_relative_information_score
185.054231
kb_relative_information_score
204.256944
kb_relative_information_score
175.225601
kb_relative_information_score
170.969263
kb_relative_information_score
202.360659
kb_relative_information_score
185.309768
kb_relative_information_score
200.931819
kb_relative_information_score
176.084488
kb_relative_information_score
199.492569
kb_relative_information_score
188.25631
kb_relative_information_score
189.853777
kb_relative_information_score
194.112566
kb_relative_information_score
188.93314
kb_relative_information_score
171.341015
kb_relative_information_score
166.633206
kb_relative_information_score
184.154548
kb_relative_information_score
175.791604
kb_relative_information_score
178.408594
kb_relative_information_score
184.20459
kb_relative_information_score
204.568894
kb_relative_information_score
199.262758
kb_relative_information_score
189.457964
kb_relative_information_score
209.734152
kb_relative_information_score
206.846743
kb_relative_information_score
166.901861
kb_relative_information_score
182.769248
kb_relative_information_score
208.812502
kb_relative_information_score
212.469054
kb_relative_information_score
202.481541
kb_relative_information_score
203.519159
kb_relative_information_score
205.475173
kb_relative_information_score
197.844613
kb_relative_information_score
190.857835
kb_relative_information_score
199.478291
mean_absolute_error
0.207757
mean_absolute_error
0.206066
mean_absolute_error
0.216518
mean_absolute_error
0.195706
mean_absolute_error
0.200759
mean_absolute_error
0.212661
mean_absolute_error
0.213212
mean_absolute_error
0.218388
mean_absolute_error
0.208814
mean_absolute_error
0.208052
mean_absolute_error
0.203989
mean_absolute_error
0.209493
mean_absolute_error
0.212634
mean_absolute_error
0.199704
mean_absolute_error
0.207406
mean_absolute_error
0.199458
mean_absolute_error
0.202943
mean_absolute_error
0.205215
mean_absolute_error
0.210191
mean_absolute_error
0.20385
mean_absolute_error
0.208674
mean_absolute_error
0.198625
mean_absolute_error
0.203483
mean_absolute_error
0.207915
mean_absolute_error
0.2051
mean_absolute_error
0.213126
mean_absolute_error
0.213651
mean_absolute_error
0.198609
mean_absolute_error
0.202713
mean_absolute_error
0.199789
mean_absolute_error
0.197946
mean_absolute_error
0.193273
mean_absolute_error
0.215429
mean_absolute_error
0.218096
mean_absolute_error
0.21
mean_absolute_error
0.217137
mean_absolute_error
0.221532
mean_absolute_error
0.216862
mean_absolute_error
0.201801
mean_absolute_error
0.188046
mean_absolute_error
0.195575
mean_absolute_error
0.220704
mean_absolute_error
0.207166
mean_absolute_error
0.193927
mean_absolute_error
0.202171
mean_absolute_error
0.215493
mean_absolute_error
0.204541
mean_absolute_error
0.201249
mean_absolute_error
0.20802
mean_absolute_error
0.207475
mean_absolute_error
0.200207
mean_absolute_error
0.194651
mean_absolute_error
0.218887
mean_absolute_error
0.216102
mean_absolute_error
0.223554
mean_absolute_error
0.205042
mean_absolute_error
0.203515
mean_absolute_error
0.203437
mean_absolute_error
0.212732
mean_absolute_error
0.203752
mean_absolute_error
0.201344
mean_absolute_error
0.218118
mean_absolute_error
0.206802
mean_absolute_error
0.213095
mean_absolute_error
0.201399
mean_absolute_error
0.202924
mean_absolute_error
0.212614
mean_absolute_error
0.200454
mean_absolute_error
0.218356
mean_absolute_error
0.220526
mean_absolute_error
0.201405
mean_absolute_error
0.210756
mean_absolute_error
0.198635
mean_absolute_error
0.219317
mean_absolute_error
0.202588
mean_absolute_error
0.207472
mean_absolute_error
0.209918
mean_absolute_error
0.205959
mean_absolute_error
0.209478
mean_absolute_error
0.219625
mean_absolute_error
0.222301
mean_absolute_error
0.208857
mean_absolute_error
0.215518
mean_absolute_error
0.220592
mean_absolute_error
0.213092
mean_absolute_error
0.200316
mean_absolute_error
0.204938
mean_absolute_error
0.20884
mean_absolute_error
0.198542
mean_absolute_error
0.197421
mean_absolute_error
0.2241
mean_absolute_error
0.214504
mean_absolute_error
0.197371
mean_absolute_error
0.190945
mean_absolute_error
0.201042
mean_absolute_error
0.198607
mean_absolute_error
0.198957
mean_absolute_error
0.204647
mean_absolute_error
0.20779
mean_absolute_error
0.202717
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
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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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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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mean_prior_absolute_error
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mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373019
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0.373019
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mean_prior_absolute_error
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0.373019
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0.373019
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mean_prior_absolute_error
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0.373019
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mean_prior_absolute_error
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number_of_instances
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456 [343,113]
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456 [343,113]
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number_of_instances
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number_of_instances
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precision
0.832784 [0.857143,0.759494]
precision
0.846241 [0.891429,0.71028]
precision
0.837544 [0.863636,0.759036]
precision
0.861849 [0.883152,0.797753]
precision
0.844949 [0.874659,0.755556]
precision
0.830993 [0.851175,0.77027]
precision
0.834175 [0.875,0.71134]
precision
0.84262 [0.874317,0.747253]
precision
0.828245 [0.86612,0.714286]
precision
0.857106 [0.878378,0.793103]
precision
0.840613 [0.876033,0.734043]
precision
0.837927 [0.859788,0.772152]
precision
0.835015 [0.863271,0.75]
precision
0.852211 [0.875676,0.781609]
precision
0.83749 [0.865591,0.752941]
precision
0.845334 [0.878788,0.744681]
precision
0.832538 [0.862903,0.741176]
precision
0.830267 [0.864499,0.727273]
precision
0.837544 [0.863636,0.759036]
precision
0.856863 [0.866142,0.828947]
precision
0.839457 [0.865952,0.759036]
precision
0.86447 [0.896359,0.767677]
precision
0.846942 [0.877049,0.755556]
precision
0.832078 [0.864865,0.732558]
precision
0.83712 [0.869565,0.738636]
precision
0.842667 [0.878453,0.734043]
precision
0.829716 [0.864499,0.724138]
precision
0.866164 [0.89011,0.793478]
precision
0.852095 [0.883978,0.755319]
precision
0.835807 [0.875346,0.715789]
precision
0.86628 [0.88587,0.806818]
precision
0.85656 [0.880435,0.784091]
precision
0.824357 [0.869444,0.6875]
precision
0.842134 [0.874317,0.744444]
precision
0.845191 [0.880886,0.736842]
precision
0.814446 [0.852547,0.698795]
precision
0.836947 [0.865591,0.75]
precision
0.83283 [0.878873,0.693069]
precision
0.851662 [0.892351,0.728155]
precision
0.869409 [0.901408,0.772277]
precision
0.852095 [0.883978,0.755319]
precision
0.811072 [0.863128,0.653061]
precision
0.849317 [0.873315,0.776471]
precision
0.847124 [0.879121,0.75]
precision
0.844464 [0.874659,0.752809]
precision
0.829545 [0.862534,0.729412]
precision
0.845191 [0.880886,0.736842]
precision
0.841919 [0.86828,0.761905]
precision
0.85415 [0.878049,0.781609]
precision
0.829696 [0.854881,0.753247]
precision
0.846822 [0.872973,0.767442]
precision
0.873698 [0.888889,0.827586]
precision
0.830279 [0.868493,0.714286]
precision
0.831954 [0.860963,0.743902]
precision
0.825928 [0.867769,0.698925]
precision
0.834655 [0.859416,0.759494]
precision
0.852087 [0.871658,0.792683]
precision
0.830665 [0.870523,0.709677]
precision
0.840658 [0.886364,0.701923]
precision
0.859268 [0.889197,0.768421]
precision
0.852413 [0.869681,0.8]
precision
0.839847 [0.873973,0.736264]
precision
0.856644 [0.884615,0.771739]
precision
0.853653 [0.899135,0.715596]
precision
0.844875 [0.878788,0.741935]
precision
0.83681 [0.879552,0.707071]
precision
0.833239 [0.872928,0.712766]
precision
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precision
0.812346 [0.861496,0.663158]
precision
0.814271 [0.843342,0.726027]
precision
0.85656 [0.880435,0.784091]
precision
0.851884 [0.881868,0.76087]
precision
0.822249 [0.859459,0.709302]
precision
0.818091 [0.860656,0.688889]
precision
0.850348 [0.894286,0.716981]
precision
0.854132 [0.880109,0.775281]
precision
0.844631 [0.876712,0.747253]
precision
0.844875 [0.878788,0.741935]
precision
0.832844 [0.870879,0.717391]
precision
0.812671 [0.867232,0.647059]
precision
0.824379 [0.856,0.728395]
precision
0.834509 [0.861333,0.753086]
precision
0.828257 [0.876056,0.683168]
precision
0.819259 [0.851459,0.721519]
precision
0.845605 [0.895652,0.693694]
precision
0.849298 [0.877384,0.764045]
precision
0.844374 [0.87062,0.764706]
precision
0.847054 [0.868984,0.780488]
precision
0.847124 [0.879121,0.75]
precision
0.866177 [0.887978,0.8]
precision
0.837604 [0.873626,0.728261]
precision
0.837119 [0.861702,0.7625]
precision
0.863767 [0.887671,0.791209]
precision
0.849612 [0.881543,0.752688]
precision
0.848159 [0.863158,0.802632]
precision
0.845577 [0.883008,0.731959]
precision
0.870027 [0.871728,0.864865]
precision
0.841907 [0.87027,0.755814]
precision
0.840499 [0.878116,0.726316]
precision
0.84198 [0.872283,0.75]
predictive_accuracy
0.840263
predictive_accuracy
0.849015
predictive_accuracy
0.844639
predictive_accuracy
0.866521
predictive_accuracy
0.851204
predictive_accuracy
0.838074
predictive_accuracy
0.840263
predictive_accuracy
0.849015
predictive_accuracy
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predictive_accuracy
0.862144
predictive_accuracy
0.846827
predictive_accuracy
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predictive_accuracy
0.842451
predictive_accuracy
0.857768
predictive_accuracy
0.844639
predictive_accuracy
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predictive_accuracy
0.840263
predictive_accuracy
0.838074
predictive_accuracy
0.844639
predictive_accuracy
0.859956
predictive_accuracy
0.846491
predictive_accuracy
0.868421
predictive_accuracy
0.85307
predictive_accuracy
0.839912
predictive_accuracy
0.844298
predictive_accuracy
0.848684
predictive_accuracy
0.837719
predictive_accuracy
0.870614
predictive_accuracy
0.857456
predictive_accuracy
0.842105
predictive_accuracy
0.870614
predictive_accuracy
0.861842
predictive_accuracy
0.83114
predictive_accuracy
0.848684
predictive_accuracy
0.850877
predictive_accuracy
0.824561
predictive_accuracy
0.844298
predictive_accuracy
0.837719
predictive_accuracy
0.855263
predictive_accuracy
0.872807
predictive_accuracy
0.857456
predictive_accuracy
0.817982
predictive_accuracy
0.855263
predictive_accuracy
0.85307
predictive_accuracy
0.850877
predictive_accuracy
0.837719
predictive_accuracy
0.850877
predictive_accuracy
0.848684
predictive_accuracy
0.859649
predictive_accuracy
0.837719
predictive_accuracy
0.85307
predictive_accuracy
0.877193
predictive_accuracy
0.837719
predictive_accuracy
0.839912
predictive_accuracy
0.833333
predictive_accuracy
0.842105
predictive_accuracy
0.857456
predictive_accuracy
0.837719
predictive_accuracy
0.844298
predictive_accuracy
0.864035
predictive_accuracy
0.857456
predictive_accuracy
0.846491
predictive_accuracy
0.861842
predictive_accuracy
0.855263
predictive_accuracy
0.850877
predictive_accuracy
0.842105
predictive_accuracy
0.839912
predictive_accuracy
0.846491
predictive_accuracy
0.820175
predictive_accuracy
0.824561
predictive_accuracy
0.861842
predictive_accuracy
0.857456
predictive_accuracy
0.83114
predictive_accuracy
0.826754
predictive_accuracy
0.85307
predictive_accuracy
0.859649
predictive_accuracy
0.850877
predictive_accuracy
0.850877
predictive_accuracy
0.839912
predictive_accuracy
0.817982
predictive_accuracy
0.833333
predictive_accuracy
0.842105
predictive_accuracy
0.833333
predictive_accuracy
0.828947
predictive_accuracy
0.846491
predictive_accuracy
0.855263
predictive_accuracy
0.850877
predictive_accuracy
0.85307
predictive_accuracy
0.85307
predictive_accuracy
0.870614
predictive_accuracy
0.844298
predictive_accuracy
0.844298
predictive_accuracy
0.868421
predictive_accuracy
0.855263
predictive_accuracy
0.85307
predictive_accuracy
0.850877
predictive_accuracy
0.870614
predictive_accuracy
0.848684
predictive_accuracy
0.846491
predictive_accuracy
0.848684
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
recall
0.840263 [0.944606,0.526316]
recall
0.849015 [0.909621,0.666667]
recall
0.844639 [0.941691,0.552632]
recall
0.866521 [0.947522,0.622807]
recall
0.851204 [0.93586,0.596491]
recall
0.838074 [0.950437,0.5]
recall
0.840263 [0.918367,0.605263]
recall
0.849015 [0.932945,0.596491]
recall
0.835886 [0.924198,0.570175]
recall
0.862144 [0.947522,0.605263]
recall
0.846827 [0.927114,0.605263]
recall
0.844639 [0.947522,0.535088]
recall
0.842451 [0.938776,0.552632]
recall
0.857768 [0.944606,0.596491]
recall
0.844639 [0.938776,0.561404]
recall
0.851204 [0.930029,0.614035]
recall
0.840263 [0.93586,0.552632]
recall
0.838074 [0.930029,0.561404]
recall
0.844639 [0.941691,0.552632]
recall
0.859956 [0.962099,0.552632]
recall
0.846491 [0.941691,0.557522]
recall
0.868421 [0.932945,0.672566]
recall
0.85307 [0.93586,0.60177]
recall
0.839912 [0.932945,0.557522]
recall
0.844298 [0.932945,0.575221]
recall
0.848684 [0.927114,0.610619]
recall
0.837719 [0.930029,0.557522]
recall
0.870614 [0.944606,0.646018]
recall
0.857456 [0.932945,0.628319]
recall
0.842105 [0.921283,0.60177]
recall
0.870614 [0.950437,0.628319]
recall
0.861842 [0.944606,0.610619]
recall
0.83114 [0.912536,0.584071]
recall
0.848684 [0.932945,0.59292]
recall
0.850877 [0.927114,0.619469]
recall
0.824561 [0.927114,0.513274]
recall
0.844298 [0.938776,0.557522]
recall
0.837719 [0.909621,0.619469]
recall
0.855263 [0.918367,0.663717]
recall
0.872807 [0.932945,0.690265]
recall
0.857456 [0.932945,0.628319]
recall
0.817982 [0.900875,0.566372]
recall
0.855263 [0.944606,0.584071]
recall
0.85307 [0.932945,0.610619]
recall
0.850877 [0.93586,0.59292]
recall
0.837719 [0.932945,0.548673]
recall
0.850877 [0.927114,0.619469]
recall
0.848684 [0.941691,0.566372]
recall
0.859649 [0.944606,0.60177]
recall
0.837719 [0.944606,0.513274]
recall
0.85307 [0.941691,0.584071]
recall
0.877193 [0.956268,0.637168]
recall
0.837719 [0.924198,0.575221]
recall
0.839912 [0.938776,0.539823]
recall
0.833333 [0.918367,0.575221]
recall
0.842105 [0.944606,0.530973]
recall
0.857456 [0.950437,0.575221]
recall
0.837719 [0.921283,0.584071]
recall
0.844298 [0.909621,0.646018]
recall
0.864035 [0.93586,0.646018]
recall
0.857456 [0.953353,0.566372]
recall
0.846491 [0.930029,0.59292]
recall
0.861842 [0.938776,0.628319]
recall
0.855263 [0.909621,0.690265]
recall
0.850877 [0.930029,0.610619]
recall
0.842105 [0.915452,0.619469]
recall
0.839912 [0.921283,0.59292]
recall
0.846491 [0.927114,0.60177]
recall
0.820175 [0.906706,0.557522]
recall
0.824561 [0.941691,0.469027]
recall
0.861842 [0.944606,0.610619]
recall
0.857456 [0.93586,0.619469]
recall
0.83114 [0.927114,0.539823]
recall
0.826754 [0.918367,0.548673]
recall
0.85307 [0.912536,0.672566]
recall
0.859649 [0.941691,0.610619]
recall
0.850877 [0.932945,0.60177]
recall
0.850877 [0.930029,0.610619]
recall
0.839912 [0.924198,0.584071]
recall
0.817982 [0.895044,0.584071]
recall
0.833333 [0.93586,0.522124]
recall
0.842105 [0.941691,0.539823]
recall
0.833333 [0.906706,0.610619]
recall
0.828947 [0.93586,0.504425]
recall
0.846491 [0.900875,0.681416]
recall
0.855263 [0.938776,0.60177]
recall
0.850877 [0.941691,0.575221]
recall
0.85307 [0.947522,0.566372]
recall
0.85307 [0.932945,0.610619]
recall
0.870614 [0.947522,0.637168]
recall
0.844298 [0.927114,0.59292]
recall
0.844298 [0.944606,0.539823]
recall
0.868421 [0.944606,0.637168]
recall
0.855263 [0.932945,0.619469]
recall
0.85307 [0.956268,0.539823]
recall
0.850877 [0.924198,0.628319]
recall
0.870614 [0.970845,0.566372]
recall
0.848684 [0.938776,0.575221]
recall
0.846491 [0.924198,0.610619]
recall
0.848684 [0.93586,0.584071]
relative_absolute_error
0.555726
relative_absolute_error
0.551201
relative_absolute_error
0.579161
relative_absolute_error
0.52349
relative_absolute_error
0.537007
relative_absolute_error
0.568844
relative_absolute_error
0.570318
relative_absolute_error
0.584163
relative_absolute_error
0.558554
relative_absolute_error
0.556514
relative_absolute_error
0.545646
relative_absolute_error
0.560369
relative_absolute_error
0.56877
relative_absolute_error
0.534186
relative_absolute_error
0.554788
relative_absolute_error
0.533528
relative_absolute_error
0.54285
relative_absolute_error
0.548925
relative_absolute_error
0.562237
relative_absolute_error
0.545275
relative_absolute_error
0.559418
relative_absolute_error
0.532478
relative_absolute_error
0.545503
relative_absolute_error
0.557385
relative_absolute_error
0.549836
relative_absolute_error
0.571352
relative_absolute_error
0.57276
relative_absolute_error
0.532435
relative_absolute_error
0.543438
relative_absolute_error
0.535598
relative_absolute_error
0.530658
relative_absolute_error
0.518133
relative_absolute_error
0.577529
relative_absolute_error
0.584678
relative_absolute_error
0.562974
relative_absolute_error
0.582105
relative_absolute_error
0.59389
relative_absolute_error
0.58137
relative_absolute_error
0.540995
relative_absolute_error
0.504119
relative_absolute_error
0.524303
relative_absolute_error
0.591668
relative_absolute_error
0.555377
relative_absolute_error
0.519884
relative_absolute_error
0.541985
relative_absolute_error
0.577699
relative_absolute_error
0.54834
relative_absolute_error
0.539513
relative_absolute_error
0.557665
relative_absolute_error
0.556205
relative_absolute_error
0.536719
relative_absolute_error
0.521826
relative_absolute_error
0.586798
relative_absolute_error
0.579331
relative_absolute_error
0.599309
relative_absolute_error
0.549681
relative_absolute_error
0.545588
relative_absolute_error
0.545378
relative_absolute_error
0.570299
relative_absolute_error
0.546225
relative_absolute_error
0.539768
relative_absolute_error
0.584737
relative_absolute_error
0.554399
relative_absolute_error
0.571271
relative_absolute_error
0.539915
relative_absolute_error
0.544004
relative_absolute_error
0.569981
relative_absolute_error
0.537381
relative_absolute_error
0.585374
relative_absolute_error
0.59119
relative_absolute_error
0.539931
relative_absolute_error
0.565
relative_absolute_error
0.532505
relative_absolute_error
0.58795
relative_absolute_error
0.543103
relative_absolute_error
0.556196
relative_absolute_error
0.562753
relative_absolute_error
0.55214
relative_absolute_error
0.561574
relative_absolute_error
0.588776
relative_absolute_error
0.595949
relative_absolute_error
0.559909
relative_absolute_error
0.577768
relative_absolute_error
0.591369
relative_absolute_error
0.571262
relative_absolute_error
0.537013
relative_absolute_error
0.549402
relative_absolute_error
0.559864
relative_absolute_error
0.532255
relative_absolute_error
0.52925
relative_absolute_error
0.600773
relative_absolute_error
0.575049
relative_absolute_error
0.529117
relative_absolute_error
0.51189
relative_absolute_error
0.538958
relative_absolute_error
0.53243
relative_absolute_error
0.533368
relative_absolute_error
0.548622
relative_absolute_error
0.557048
relative_absolute_error
0.543448
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_squared_error
0.33479
root_mean_squared_error
0.330703
root_mean_squared_error
0.334317
root_mean_squared_error
0.312728
root_mean_squared_error
0.326356
root_mean_squared_error
0.344951
root_mean_squared_error
0.340108
root_mean_squared_error
0.338436
root_mean_squared_error
0.326371
root_mean_squared_error
0.327223
root_mean_squared_error
0.322195
root_mean_squared_error
0.33059
root_mean_squared_error
0.324304
root_mean_squared_error
0.322728
root_mean_squared_error
0.33751
root_mean_squared_error
0.325951
root_mean_squared_error
0.327275
root_mean_squared_error
0.329444
root_mean_squared_error
0.332868
root_mean_squared_error
0.32751
root_mean_squared_error
0.329645
root_mean_squared_error
0.312813
root_mean_squared_error
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