338153
2
Joaquin Vanschoren
4601
Supervised Classification
predictive_accuracy
1200
weka.LADTree(4)
2070
weka.classifiers.trees.LADTree -- -B 10
B
10
1200
weka
weka_3.7.12
1043
ada_agnostic
https://www.openml.org/data/download/53926/ada_agnostic.arff
-1
1160210
description
https://api.openml.org/data/download/1160210/weka_generated_run9189014539576112754.xml
-1
1160213
model_readable
https://api.openml.org/data/download/1160213/WekaModel_weka.classifiers.trees.LADTree3232671417951501413.model
-1
1160212
model_serialized
https://api.openml.org/data/download/1160212/WekaSerialized_weka.classifiers.trees.LADTree5896729094880943547.model
-1
1160211
predictions
https://api.openml.org/data/download/1160211/weka_generated_predictions1968782139149256388.arff
area_under_roc_curve
0.884077 [0.884077,0.884077]
average_cost
0
f_measure
0.833823 [0.897296,0.6415]
kappa
0.540515
kb_relative_information_score
17139.239127
mean_absolute_error
0.225061
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
0.832974 [0.868849,0.724272]
predictive_accuracy
0.840333
prior_entropy
0.808488
recall
0.840333 [0.927668,0.575707]
relative_absolute_error
0.603081
root_mean_prior_squared_error
0.431932
root_mean_squared_error
0.334678
root_relative_squared_error
0.774841
scimark_benchmark
1321.477063 [813.1658067645254, 995.0709712770484, 519.2175566671311, 1073.0413082631114, 3206.889673008628]
total_cost
0
usercpu_time_millis
3000
usercpu_time_millis_testing
10
usercpu_time_millis_training
2990
area_under_roc_curve
0.881975 [0.881975,0.881975]
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area_under_roc_curve
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area_under_roc_curve
0.903326 [0.903326,0.903326]
area_under_roc_curve
0.889845 [0.889845,0.889845]
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
0.876442 [0.876442,0.876442]
area_under_roc_curve
0.876945 [0.876945,0.876945]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.866754 [0.866754,0.866754]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.877164 [0.877164,0.877164]
area_under_roc_curve
0.889961 [0.889961,0.889961]
area_under_roc_curve
0.890193 [0.890193,0.890193]
area_under_roc_curve
0.876751 [0.876751,0.876751]
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
0.903738 [0.903738,0.903738]
area_under_roc_curve
0.88324 [0.88324,0.88324]
area_under_roc_curve
0.887123 [0.887123,0.887123]
area_under_roc_curve
0.894773 [0.894773,0.894773]
area_under_roc_curve
0.884091 [0.884091,0.884091]
area_under_roc_curve
0.874132 [0.874132,0.874132]
area_under_roc_curve
0.870043 [0.870043,0.870043]
area_under_roc_curve
0.874739 [0.874739,0.874739]
area_under_roc_curve
0.864044 [0.864044,0.864044]
area_under_roc_curve
0.870495 [0.870495,0.870495]
area_under_roc_curve
0.873991 [0.873991,0.873991]
area_under_roc_curve
0.905699 [0.905699,0.905699]
area_under_roc_curve
0.914949 [0.914949,0.914949]
area_under_roc_curve
0.881253 [0.881253,0.881253]
area_under_roc_curve
0.883253 [0.883253,0.883253]
area_under_roc_curve
0.908034 [0.908034,0.908034]
area_under_roc_curve
0.870469 [0.870469,0.870469]
area_under_roc_curve
0.88524 [0.88524,0.88524]
area_under_roc_curve
0.908731 [0.908731,0.908731]
area_under_roc_curve
0.920754 [0.920754,0.920754]
area_under_roc_curve
0.908137 [0.908137,0.908137]
area_under_roc_curve
0.894747 [0.894747,0.894747]
area_under_roc_curve
0.902565 [0.902565,0.902565]
area_under_roc_curve
0.870366 [0.870366,0.870366]
area_under_roc_curve
0.890193 [0.890193,0.890193]
area_under_roc_curve
0.868031 [0.868031,0.868031]
average_cost
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f_measure
0.839705 [0.904033,0.646154]
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
190.293571
kb_relative_information_score
171.429771
kb_relative_information_score
158.938775
kb_relative_information_score
168.434304
kb_relative_information_score
177.936822
kb_relative_information_score
156.683283
kb_relative_information_score
162.111496
kb_relative_information_score
172.548876
kb_relative_information_score
174.190877
kb_relative_information_score
177.381671
kb_relative_information_score
134.489747
kb_relative_information_score
176.728568
kb_relative_information_score
191.817403
kb_relative_information_score
172.937023
kb_relative_information_score
159.907257
kb_relative_information_score
183.203363
kb_relative_information_score
175.332373
kb_relative_information_score
178.605269
kb_relative_information_score
166.463383
kb_relative_information_score
184.971275
kb_relative_information_score
181.955641
kb_relative_information_score
159.050431
kb_relative_information_score
165.270111
kb_relative_information_score
146.357649
kb_relative_information_score
176.972313
kb_relative_information_score
174.46378
kb_relative_information_score
178.091951
kb_relative_information_score
179.894263
kb_relative_information_score
175.95664
kb_relative_information_score
174.499196
kb_relative_information_score
151.165886
kb_relative_information_score
176.44927
kb_relative_information_score
168.147663
kb_relative_information_score
169.864726
kb_relative_information_score
165.449569
kb_relative_information_score
162.637791
kb_relative_information_score
175.567453
kb_relative_information_score
155.855277
kb_relative_information_score
151.797817
kb_relative_information_score
171.621133
kb_relative_information_score
174.568181
kb_relative_information_score
179.935173
kb_relative_information_score
149.605822
kb_relative_information_score
184.810602
kb_relative_information_score
176.194426
kb_relative_information_score
178.613103
kb_relative_information_score
165.462831
kb_relative_information_score
174.453568
kb_relative_information_score
146.681608
kb_relative_information_score
160.193849
kb_relative_information_score
169.656448
kb_relative_information_score
151.49479
kb_relative_information_score
150.957325
kb_relative_information_score
142.118227
kb_relative_information_score
186.616597
kb_relative_information_score
189.527322
kb_relative_information_score
176.20116
kb_relative_information_score
174.688586
kb_relative_information_score
185.2499
kb_relative_information_score
147.912346
kb_relative_information_score
175.276478
kb_relative_information_score
189.17019
kb_relative_information_score
191.443461
kb_relative_information_score
189.983633
kb_relative_information_score
174.93841
kb_relative_information_score
191.801729
kb_relative_information_score
170.017728
kb_relative_information_score
162.340335
kb_relative_information_score
176.483405
mean_absolute_error
0.224263
mean_absolute_error
0.221629
mean_absolute_error
0.234721
mean_absolute_error
0.221435
mean_absolute_error
0.214501
mean_absolute_error
0.234498
mean_absolute_error
0.23265
mean_absolute_error
0.238169
mean_absolute_error
0.231507
mean_absolute_error
0.232271
mean_absolute_error
0.221995
mean_absolute_error
0.226566
mean_absolute_error
0.228987
mean_absolute_error
0.215763
mean_absolute_error
0.222294
mean_absolute_error
0.223419
mean_absolute_error
0.223918
mean_absolute_error
0.218435
mean_absolute_error
0.224899
mean_absolute_error
0.223265
mean_absolute_error
0.231053
mean_absolute_error
0.215233
mean_absolute_error
0.221196
mean_absolute_error
0.218065
mean_absolute_error
0.228599
mean_absolute_error
0.234922
mean_absolute_error
0.227402
mean_absolute_error
0.221346
mean_absolute_error
0.220866
mean_absolute_error
0.214085
mean_absolute_error
0.2168
mean_absolute_error
0.2107
mean_absolute_error
0.224862
mean_absolute_error
0.233816
mean_absolute_error
0.226686
mean_absolute_error
0.223645
mean_absolute_error
0.23715
mean_absolute_error
0.233691
mean_absolute_error
0.223173
mean_absolute_error
0.219258
mean_absolute_error
0.220899
mean_absolute_error
0.246896
mean_absolute_error
0.221066
mean_absolute_error
0.208525
mean_absolute_error
0.224685
mean_absolute_error
0.232911
mean_absolute_error
0.213286
mean_absolute_error
0.221511
mean_absolute_error
0.222175
mean_absolute_error
0.230125
mean_absolute_error
0.21666
mean_absolute_error
0.218144
mean_absolute_error
0.23072
mean_absolute_error
0.228427
mean_absolute_error
0.239585
mean_absolute_error
0.222581
mean_absolute_error
0.223206
mean_absolute_error
0.219301
mean_absolute_error
0.218564
mean_absolute_error
0.219033
mean_absolute_error
0.224267
mean_absolute_error
0.238942
mean_absolute_error
0.221597
mean_absolute_error
0.226749
mean_absolute_error
0.223973
mean_absolute_error
0.226799
mean_absolute_error
0.228639
mean_absolute_error
0.22418
mean_absolute_error
0.235244
mean_absolute_error
0.237559
mean_absolute_error
0.226096
mean_absolute_error
0.22174
mean_absolute_error
0.215877
mean_absolute_error
0.23816
mean_absolute_error
0.214222
mean_absolute_error
0.219897
mean_absolute_error
0.220942
mean_absolute_error
0.227706
mean_absolute_error
0.224768
mean_absolute_error
0.240117
mean_absolute_error
0.232051
mean_absolute_error
0.224489
mean_absolute_error
0.234167
mean_absolute_error
0.239416
mean_absolute_error
0.24571
mean_absolute_error
0.215402
mean_absolute_error
0.214449
mean_absolute_error
0.222058
mean_absolute_error
0.224797
mean_absolute_error
0.216546
mean_absolute_error
0.244225
mean_absolute_error
0.224209
mean_absolute_error
0.215905
mean_absolute_error
0.211688
mean_absolute_error
0.214553
mean_absolute_error
0.222241
mean_absolute_error
0.210796
mean_absolute_error
0.225252
mean_absolute_error
0.231826
mean_absolute_error
0.222786
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
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0.373019
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0.373019
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0.373019
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0.373019
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0.373019
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0.373019
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0.373019
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0.373019
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mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
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0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.373019
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0.373019
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0.373019
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0.373019
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mean_prior_absolute_error
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mean_prior_absolute_error
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0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
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number_of_instances
457 [343,114]
number_of_instances
457 [343,114]
number_of_instances
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456 [343,113]
number_of_instances
456 [343,113]
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456 [343,113]
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456 [343,113]
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number_of_instances
456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
number_of_instances
456 [343,113]
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456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
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456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
precision
0.842763 [0.864362,0.777778]
precision
0.860241 [0.893557,0.76]
precision
0.823861 [0.865385,0.698925]
precision
0.843488 [0.880556,0.731959]
precision
0.861815 [0.887363,0.784946]
precision
0.801925 [0.84127,0.683544]
precision
0.835315 [0.86921,0.733333]
precision
0.83117 [0.870523,0.712766]
precision
0.799777 [0.842667,0.670732]
precision
0.82903 [0.870166,0.705263]
precision
0.822243 [0.880814,0.646018]
precision
0.839958 [0.867925,0.755814]
precision
0.818149 [0.841969,0.746479]
precision
0.854729 [0.876011,0.790698]
precision
0.814846 [0.845144,0.723684]
precision
0.837544 [0.863636,0.759036]
precision
0.830317 [0.854881,0.75641]
precision
0.835249 [0.879213,0.70297]
precision
0.825139 [0.852243,0.74359]
precision
0.830993 [0.851175,0.77027]
precision
0.821847 [0.851852,0.730769]
precision
0.85737 [0.891061,0.755102]
precision
0.852382 [0.886111,0.75]
precision
0.849462 [0.871314,0.783133]
precision
0.80796 [0.853261,0.670455]
precision
0.832844 [0.870879,0.717391]
precision
0.812421 [0.854054,0.686047]
precision
0.83949 [0.869919,0.747126]
precision
0.842364 [0.876374,0.73913]
precision
0.844374 [0.87062,0.764706]
precision
0.846547 [0.887324,0.722772]
precision
0.842021 [0.86631,0.768293]
precision
0.837402 [0.88169,0.70297]
precision
0.809444 [0.849866,0.686747]
precision
0.834221 [0.877095,0.704082]
precision
0.840927 [0.880223,0.721649]
precision
0.827708 [0.86612,0.711111]
precision
0.83712 [0.869565,0.738636]
precision
0.842134 [0.874317,0.744444]
precision
0.84811 [0.885475,0.734694]
precision
0.850227 [0.885794,0.742268]
precision
0.785128 [0.846797,0.597938]
precision
0.827164 [0.862162,0.72093]
precision
0.830665 [0.870523,0.709677]
precision
0.836277 [0.877437,0.71134]
precision
0.818091 [0.860656,0.688889]
precision
0.83283 [0.878873,0.693069]
precision
0.829444 [0.858667,0.740741]
precision
0.844374 [0.87062,0.764706]
precision
0.824391 [0.854111,0.734177]
precision
0.842667 [0.878453,0.734043]
precision
0.849298 [0.877384,0.764045]
precision
0.81454 [0.867606,0.653465]
precision
0.819943 [0.859079,0.701149]
precision
0.810627 [0.855586,0.674157]
precision
0.836987 [0.863636,0.756098]
precision
0.834796 [0.86921,0.730337]
precision
0.830212 [0.876404,0.69]
precision
0.833239 [0.872928,0.712766]
precision
0.850227 [0.885794,0.742268]
precision
0.844919 [0.864721,0.78481]
precision
0.819687 [0.866667,0.677083]
precision
0.856835 [0.876344,0.797619]
precision
0.838052 [0.883853,0.699029]
precision
0.827014 [0.854497,0.74359]
precision
0.836993 [0.867568,0.744186]
precision
0.832401 [0.882857,0.679245]
precision
0.836947 [0.865591,0.75]
precision
0.814717 [0.854447,0.694118]
precision
0.798175 [0.833766,0.690141]
precision
0.835063 [0.871233,0.725275]
precision
0.849883 [0.883657,0.747368]
precision
0.827878 [0.848958,0.763889]
precision
0.815016 [0.863889,0.666667]
precision
0.838052 [0.883853,0.699029]
precision
0.848576 [0.88764,0.73]
precision
0.854259 [0.876011,0.788235]
precision
0.831115 [0.872576,0.705263]
precision
0.849264 [0.875339,0.770115]
precision
0.814716 [0.875362,0.630631]
precision
0.806788 [0.847594,0.682927]
precision
0.827878 [0.848958,0.763889]
precision
0.803748 [0.86533,0.616822]
precision
0.810627 [0.855586,0.674157]
precision
0.825623 [0.88563,0.643478]
precision
0.849612 [0.881543,0.752688]
precision
0.854575 [0.886427,0.757895]
precision
0.849317 [0.873315,0.776471]
precision
0.829545 [0.862534,0.729412]
precision
0.846822 [0.872973,0.767442]
precision
0.820746 [0.874644,0.657143]
precision
0.840138 [0.876033,0.731183]
precision
0.859202 [0.878706,0.8]
precision
0.852095 [0.883978,0.755319]
precision
0.838679 [0.854167,0.791667]
precision
0.842364 [0.876374,0.73913]
precision
0.859202 [0.878706,0.8]
precision
0.846822 [0.872973,0.767442]
precision
0.83226 [0.866848,0.727273]
precision
0.839847 [0.873973,0.736264]
predictive_accuracy
0.849015
predictive_accuracy
0.864333
predictive_accuracy
0.83151
predictive_accuracy
0.849015
predictive_accuracy
0.866521
predictive_accuracy
0.814004
predictive_accuracy
0.842451
predictive_accuracy
0.838074
predictive_accuracy
0.811816
predictive_accuracy
0.835886
predictive_accuracy
0.822757
predictive_accuracy
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predictive_accuracy
0.827133
predictive_accuracy
0.859956
predictive_accuracy
0.824945
predictive_accuracy
0.844639
predictive_accuracy
0.838074
predictive_accuracy
0.840263
predictive_accuracy
0.833698
predictive_accuracy
0.838074
predictive_accuracy
0.83114
predictive_accuracy
0.861842
predictive_accuracy
0.857456
predictive_accuracy
0.855263
predictive_accuracy
0.817982
predictive_accuracy
0.839912
predictive_accuracy
0.822368
predictive_accuracy
0.846491
predictive_accuracy
0.848684
predictive_accuracy
0.850877
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.842105
predictive_accuracy
0.820175
predictive_accuracy
0.839912
predictive_accuracy
0.846491
predictive_accuracy
0.835526
predictive_accuracy
0.844298
predictive_accuracy
0.848684
predictive_accuracy
0.85307
predictive_accuracy
0.855263
predictive_accuracy
0.79386
predictive_accuracy
0.835526
predictive_accuracy
0.837719
predictive_accuracy
0.842105
predictive_accuracy
0.826754
predictive_accuracy
0.837719
predictive_accuracy
0.837719
predictive_accuracy
0.850877
predictive_accuracy
0.833333
predictive_accuracy
0.848684
predictive_accuracy
0.855263
predictive_accuracy
0.820175
predictive_accuracy
0.828947
predictive_accuracy
0.820175
predictive_accuracy
0.844298
predictive_accuracy
0.842105
predictive_accuracy
0.835526
predictive_accuracy
0.839912
predictive_accuracy
0.855263
predictive_accuracy
0.850877
predictive_accuracy
0.826754
predictive_accuracy
0.861842
predictive_accuracy
0.842105
predictive_accuracy
0.835526
predictive_accuracy
0.844298
predictive_accuracy
0.835526
predictive_accuracy
0.844298
predictive_accuracy
0.824561
predictive_accuracy
0.811404
predictive_accuracy
0.842105
predictive_accuracy
0.855263
predictive_accuracy
0.835526
predictive_accuracy
0.822368
predictive_accuracy
0.842105
predictive_accuracy
0.85307
predictive_accuracy
0.859649
predictive_accuracy
0.837719
predictive_accuracy
0.855263
predictive_accuracy
0.815789
predictive_accuracy
0.817982
predictive_accuracy
0.835526
predictive_accuracy
0.807018
predictive_accuracy
0.820175
predictive_accuracy
0.824561
predictive_accuracy
0.855263
predictive_accuracy
0.859649
predictive_accuracy
0.855263
predictive_accuracy
0.837719
predictive_accuracy
0.85307
predictive_accuracy
0.824561
predictive_accuracy
0.846491
predictive_accuracy
0.864035
predictive_accuracy
0.857456
predictive_accuracy
0.844298
predictive_accuracy
0.848684
predictive_accuracy
0.864035
predictive_accuracy
0.85307
predictive_accuracy
0.839912
predictive_accuracy
0.846491
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
0.849015 [0.947522,0.552632]
recall
0.864333 [0.930029,0.666667]
recall
0.83151 [0.918367,0.570175]
recall
0.849015 [0.924198,0.622807]
recall
0.866521 [0.941691,0.640351]
recall
0.814004 [0.927114,0.473684]
recall
0.842451 [0.930029,0.578947]
recall
0.838074 [0.921283,0.587719]
recall
0.811816 [0.921283,0.482456]
recall
0.835886 [0.918367,0.587719]
recall
0.822757 [0.883382,0.640351]
recall
0.846827 [0.938776,0.570175]
recall
0.827133 [0.947522,0.464912]
recall
0.859956 [0.947522,0.596491]
recall
0.824945 [0.938776,0.482456]
recall
0.844639 [0.941691,0.552632]
recall
0.838074 [0.944606,0.517544]
recall
0.840263 [0.912536,0.622807]
recall
0.833698 [0.941691,0.508772]
recall
0.838074 [0.950437,0.5]
recall
0.83114 [0.938776,0.504425]
recall
0.861842 [0.930029,0.654867]
recall
0.857456 [0.930029,0.637168]
recall
0.855263 [0.947522,0.575221]
recall
0.817982 [0.915452,0.522124]
recall
0.839912 [0.924198,0.584071]
recall
0.822368 [0.921283,0.522124]
recall
0.846491 [0.93586,0.575221]
recall
0.848684 [0.930029,0.60177]
recall
0.850877 [0.941691,0.575221]
recall
0.850877 [0.918367,0.646018]
recall
0.848684 [0.944606,0.557522]
recall
0.842105 [0.912536,0.628319]
recall
0.820175 [0.924198,0.504425]
recall
0.839912 [0.915452,0.610619]
recall
0.846491 [0.921283,0.619469]
recall
0.835526 [0.924198,0.566372]
recall
0.844298 [0.932945,0.575221]
recall
0.848684 [0.932945,0.59292]
recall
0.85307 [0.924198,0.637168]
recall
0.855263 [0.927114,0.637168]
recall
0.79386 [0.886297,0.513274]
recall
0.835526 [0.930029,0.548673]
recall
0.837719 [0.921283,0.584071]
recall
0.842105 [0.918367,0.610619]
recall
0.826754 [0.918367,0.548673]
recall
0.837719 [0.909621,0.619469]
recall
0.837719 [0.938776,0.530973]
recall
0.850877 [0.941691,0.575221]
recall
0.833333 [0.938776,0.513274]
recall
0.848684 [0.927114,0.610619]
recall
0.855263 [0.938776,0.60177]
recall
0.820175 [0.897959,0.584071]
recall
0.828947 [0.924198,0.539823]
recall
0.820175 [0.915452,0.530973]
recall
0.844298 [0.941691,0.548673]
recall
0.842105 [0.930029,0.575221]
recall
0.835526 [0.909621,0.610619]
recall
0.839912 [0.921283,0.59292]
recall
0.855263 [0.927114,0.637168]
recall
0.850877 [0.950437,0.548673]
recall
0.826754 [0.909621,0.575221]
recall
0.861842 [0.950437,0.59292]
recall
0.842105 [0.909621,0.637168]
recall
0.835526 [0.941691,0.513274]
recall
0.844298 [0.93586,0.566372]
recall
0.835526 [0.900875,0.637168]
recall
0.844298 [0.938776,0.557522]
recall
0.824561 [0.924198,0.522124]
recall
0.811404 [0.93586,0.433628]
recall
0.842105 [0.927114,0.584071]
recall
0.855263 [0.930029,0.628319]
recall
0.835526 [0.950437,0.486726]
recall
0.822368 [0.906706,0.566372]
recall
0.842105 [0.909621,0.637168]
recall
0.85307 [0.921283,0.646018]
recall
0.859649 [0.947522,0.59292]
recall
0.837719 [0.918367,0.59292]
recall
0.855263 [0.941691,0.59292]
recall
0.815789 [0.880466,0.619469]
recall
0.817982 [0.924198,0.495575]
recall
0.835526 [0.950437,0.486726]
recall
0.807018 [0.880466,0.584071]
recall
0.820175 [0.915452,0.530973]
recall
0.824561 [0.880466,0.654867]
recall
0.855263 [0.932945,0.619469]
recall
0.859649 [0.932945,0.637168]
recall
0.855263 [0.944606,0.584071]
recall
0.837719 [0.932945,0.548673]
recall
0.85307 [0.941691,0.584071]
recall
0.824561 [0.895044,0.610619]
recall
0.846491 [0.927114,0.60177]
recall
0.864035 [0.950437,0.60177]
recall
0.857456 [0.932945,0.628319]
recall
0.844298 [0.956268,0.504425]
recall
0.848684 [0.930029,0.60177]
recall
0.864035 [0.950437,0.60177]
recall
0.85307 [0.941691,0.584071]
recall
0.839912 [0.930029,0.566372]
recall
0.846491 [0.930029,0.59292]
relative_absolute_error
0.599878
relative_absolute_error
0.592832
relative_absolute_error
0.627851
relative_absolute_error
0.592313
relative_absolute_error
0.573766
relative_absolute_error
0.627256
relative_absolute_error
0.622311
relative_absolute_error
0.637073
relative_absolute_error
0.619254
relative_absolute_error
0.621297
relative_absolute_error
0.593811
relative_absolute_error
0.606036
relative_absolute_error
0.612513
relative_absolute_error
0.57714
relative_absolute_error
0.59461
relative_absolute_error
0.597619
relative_absolute_error
0.598955
relative_absolute_error
0.584287
relative_absolute_error
0.60158
relative_absolute_error
0.597207
relative_absolute_error
0.619412
relative_absolute_error
0.577001
relative_absolute_error
0.592988
relative_absolute_error
0.584593
relative_absolute_error
0.612833
relative_absolute_error
0.629785
relative_absolute_error
0.609625
relative_absolute_error
0.593389
relative_absolute_error
0.592104
relative_absolute_error
0.573924
relative_absolute_error
0.581204
relative_absolute_error
0.56485
relative_absolute_error
0.602817
relative_absolute_error
0.62682
relative_absolute_error
0.607706
relative_absolute_error
0.599555
relative_absolute_error
0.635757
relative_absolute_error
0.626484
relative_absolute_error
0.598287
relative_absolute_error
0.587793
relative_absolute_error
0.592191
relative_absolute_error
0.661886
relative_absolute_error
0.592639
relative_absolute_error
0.559019
relative_absolute_error
0.602341
relative_absolute_error
0.624394
relative_absolute_error
0.571784
relative_absolute_error
0.593831
relative_absolute_error
0.595614
relative_absolute_error
0.616926
relative_absolute_error
0.580828
relative_absolute_error
0.584805
relative_absolute_error
0.61852
relative_absolute_error
0.612374
relative_absolute_error
0.642286
relative_absolute_error
0.596701
relative_absolute_error
0.598376
relative_absolute_error
0.587908
relative_absolute_error
0.585931
relative_absolute_error
0.58719
relative_absolute_error
0.601222
relative_absolute_error
0.640562
relative_absolute_error
0.594062
relative_absolute_error
0.607873
relative_absolute_error
0.600434
relative_absolute_error
0.608009
relative_absolute_error
0.612941
relative_absolute_error
0.600989
relative_absolute_error
0.630649
relative_absolute_error
0.636855
relative_absolute_error
0.606125
relative_absolute_error
0.594447
relative_absolute_error
0.578728
relative_absolute_error
0.638466
relative_absolute_error
0.574291
relative_absolute_error
0.589506
relative_absolute_error
0.592307
relative_absolute_error
0.610439
relative_absolute_error
0.602564
relative_absolute_error
0.643712
relative_absolute_error
0.622088
relative_absolute_error
0.601816
relative_absolute_error
0.627762
relative_absolute_error
0.641831
relative_absolute_error
0.658705
relative_absolute_error
0.577455
relative_absolute_error
0.574899
relative_absolute_error
0.595298
relative_absolute_error
0.602641
relative_absolute_error
0.580522
relative_absolute_error
0.654724
relative_absolute_error
0.601066
relative_absolute_error
0.578804
relative_absolute_error
0.567498
relative_absolute_error
0.575178
relative_absolute_error
0.595789
relative_absolute_error
0.565106
relative_absolute_error
0.60386
relative_absolute_error
0.621485
relative_absolute_error
0.59725
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
0.338398
root_mean_squared_error
0.328552
root_mean_squared_error
0.341808
root_mean_squared_error
0.3207
root_mean_squared_error
0.323486
root_mean_squared_error
0.359289
root_mean_squared_error
0.344529
root_mean_squared_error
0.343873
root_mean_squared_error
0.345789
root_mean_squared_error
0.338009
root_mean_squared_error
0.332181
root_mean_squared_error
0.335347
root_mean_squared_error
0.335296
root_mean_squared_error
0.327475
root_mean_squared_error
0.340611
root_mean_squared_error
0.333176
root_mean_squared_error
0.336509
root_mean_squared_error
0.33204
root_mean_squared_error
0.345032
root_mean_squared_error
0.337435
root_mean_squared_error
0.346127
root_mean_squared_error
0.320163
root_mean_squared_error
0.321118
root_mean_squared_error
0.329556
root_mean_squared_error
0.337748
root_mean_squared_error
0.338926
root_mean_squared_error
0.341412
root_mean_squared_error
0.332579
root_mean_squared_error
0.329495
root_mean_squared_error
0.328592
root_mean_squared_error
0.323281
root_mean_squared_error
0.324032
root_mean_squared_error
0.333586
root_mean_squared_error
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