437195
2
Joaquin Vanschoren
4350
Supervised Classification
predictive_accuracy
1196
weka.RotationForest_PrincipalComponents_J48(14)
2065
weka.classifiers.meta.RotationForest -- -G 3 -H 3 -P 50 -F "weka.filters.unsupervised.attribute.PrincipalComponents -R 1.0 -A 5 -M -1" -S 1 -num-slots 1 -I 80 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2
C
0.25
1068
M
2
1068
R
1.0
1164
A
5
1164
M
-1
1164
G
3
1196
H
3
1196
P
50
1196
F
weka.filters.unsupervised.attribute.PrincipalComponents
1196
S
1
1196
num-slots
1
1196
I
80
1196
W
weka.classifiers.trees.J48
1196
weka
weka_3.7.12
779
fri_c1_500_25
https://www.openml.org/data/download/53313/fri_c1_500_25.arff
-1
1528989
description
https://api.openml.org/data/download/1528989/weka_generated_run2262477562217443147.xml
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1528992
model_readable
https://api.openml.org/data/download/1528992/WekaModel_weka.classifiers.meta.RotationForest3362420209092429088.model
-1
1528991
model_serialized
https://api.openml.org/data/download/1528991/WekaSerialized_weka.classifiers.meta.RotationForest5910016794092590726.model
-1
1528990
predictions
https://api.openml.org/data/download/1528990/weka_generated_predictions6146252322787832188.arff
area_under_roc_curve
0.893781 [0.893781,0.893781]
average_cost
0
f_measure
0.817802 [0.809762,0.824818]
kappa
0.634842
kb_relative_information_score
1761.376533
mean_absolute_error
0.344729
mean_prior_absolute_error
0.497697
number_of_instances
5000 [2330,2670]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.819178 [0.787744,0.846609]
predictive_accuracy
0.8176
prior_entropy
0.996688
recall
0.8176 [0.833047,0.80412]
relative_absolute_error
0.692649
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0.498843
root_mean_squared_error
0.383169
root_relative_squared_error
0.768115
scimark_benchmark
933.345534 [557.0873895316777, 1011.5249537742577, 441.869051235415, 905.8189936379142, 1750.4272808716194]
total_cost
0
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3410
usercpu_time_millis_testing
1260
usercpu_time_millis_training
2150
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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
0.938808 [0.938808,0.938808]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.906602 [0.906602,0.906602]
area_under_roc_curve
0.801282 [0.801282,0.801282]
area_under_roc_curve
0.846154 [0.846154,0.846154]
area_under_roc_curve
0.926282 [0.926282,0.926282]
area_under_roc_curve
0.865385 [0.865385,0.865385]
area_under_roc_curve
0.900641 [0.900641,0.900641]
area_under_roc_curve
0.889423 [0.889423,0.889423]
area_under_roc_curve
0.917874 [0.917874,0.917874]
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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f_measure
0.860168 [0.857143,0.862745]
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
0.818483 [0.830189,0.808511]
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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f_measure
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f_measure
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f_measure
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17.908913
kb_relative_information_score
22.048922
kb_relative_information_score
21.062646
kb_relative_information_score
18.306343
kb_relative_information_score
16.786046
kb_relative_information_score
13.456561
kb_relative_information_score
18.183458
kb_relative_information_score
16.10547
kb_relative_information_score
15.683024
kb_relative_information_score
20.934502
kb_relative_information_score
18.147158
kb_relative_information_score
16.400506
kb_relative_information_score
15.632107
kb_relative_information_score
20.086215
kb_relative_information_score
16.261909
kb_relative_information_score
20.059026
kb_relative_information_score
19.026853
kb_relative_information_score
18.285894
kb_relative_information_score
14.47364
kb_relative_information_score
18.462621
kb_relative_information_score
14.276909
kb_relative_information_score
19.803292
kb_relative_information_score
11.067328
kb_relative_information_score
17.284656
kb_relative_information_score
19.731097
kb_relative_information_score
18.318628
kb_relative_information_score
14.45843
kb_relative_information_score
21.836147
kb_relative_information_score
16.819188
kb_relative_information_score
15.754823
kb_relative_information_score
15.984995
kb_relative_information_score
18.197737
kb_relative_information_score
18.556888
kb_relative_information_score
18.823127
kb_relative_information_score
20.669537
kb_relative_information_score
17.797307
kb_relative_information_score
19.555573
kb_relative_information_score
22.71665
kb_relative_information_score
14.481491
kb_relative_information_score
22.066186
kb_relative_information_score
19.895487
kb_relative_information_score
20.266271
kb_relative_information_score
16.40803
kb_relative_information_score
19.326887
kb_relative_information_score
18.803303
kb_relative_information_score
17.92543
kb_relative_information_score
14.903587
kb_relative_information_score
13.996029
kb_relative_information_score
20.166312
kb_relative_information_score
20.269299
kb_relative_information_score
18.962739
kb_relative_information_score
13.725853
kb_relative_information_score
16.898957
kb_relative_information_score
10.833319
kb_relative_information_score
14.141131
kb_relative_information_score
18.164005
kb_relative_information_score
17.536864
kb_relative_information_score
18.602575
kb_relative_information_score
16.097627
kb_relative_information_score
15.864466
kb_relative_information_score
13.756967
kb_relative_information_score
16.566613
kb_relative_information_score
17.551878
kb_relative_information_score
15.907231
kb_relative_information_score
15.442166
kb_relative_information_score
19.509477
kb_relative_information_score
18.396743
kb_relative_information_score
18.57596
kb_relative_information_score
19.278741
kb_relative_information_score
13.378155
kb_relative_information_score
14.01976
kb_relative_information_score
18.771954
kb_relative_information_score
17.533224
kb_relative_information_score
18.041756
kb_relative_information_score
15.261789
kb_relative_information_score
19.802663
kb_relative_information_score
16.915938
kb_relative_information_score
15.297264
kb_relative_information_score
20.882565
kb_relative_information_score
17.6721
kb_relative_information_score
19.038674
mean_absolute_error
0.343242
mean_absolute_error
0.293034
mean_absolute_error
0.346893
mean_absolute_error
0.339763
mean_absolute_error
0.345249
mean_absolute_error
0.32457
mean_absolute_error
0.330628
mean_absolute_error
0.353036
mean_absolute_error
0.372262
mean_absolute_error
0.327724
mean_absolute_error
0.347216
mean_absolute_error
0.31229
mean_absolute_error
0.325225
mean_absolute_error
0.308819
mean_absolute_error
0.366745
mean_absolute_error
0.367118
mean_absolute_error
0.373852
mean_absolute_error
0.362468
mean_absolute_error
0.346322
mean_absolute_error
0.340575
mean_absolute_error
0.302895
mean_absolute_error
0.316349
mean_absolute_error
0.338749
mean_absolute_error
0.351047
mean_absolute_error
0.384495
mean_absolute_error
0.339518
mean_absolute_error
0.361859
mean_absolute_error
0.362553
mean_absolute_error
0.316138
mean_absolute_error
0.341202
mean_absolute_error
0.35335
mean_absolute_error
0.36257
mean_absolute_error
0.323162
mean_absolute_error
0.352132
mean_absolute_error
0.321367
mean_absolute_error
0.336031
mean_absolute_error
0.336614
mean_absolute_error
0.371679
mean_absolute_error
0.339939
mean_absolute_error
0.373278
mean_absolute_error
0.326348
mean_absolute_error
0.401419
mean_absolute_error
0.347122
mean_absolute_error
0.322464
mean_absolute_error
0.343571
mean_absolute_error
0.373295
mean_absolute_error
0.308457
mean_absolute_error
0.34871
mean_absolute_error
0.36207
mean_absolute_error
0.359297
mean_absolute_error
0.337797
mean_absolute_error
0.337049
mean_absolute_error
0.332217
mean_absolute_error
0.317435
mean_absolute_error
0.34371
mean_absolute_error
0.326987
mean_absolute_error
0.301501
mean_absolute_error
0.369733
mean_absolute_error
0.30967
mean_absolute_error
0.324318
mean_absolute_error
0.322498
mean_absolute_error
0.351116
mean_absolute_error
0.331082
mean_absolute_error
0.336222
mean_absolute_error
0.345767
mean_absolute_error
0.3671
mean_absolute_error
0.37102
mean_absolute_error
0.322241
mean_absolute_error
0.31971
mean_absolute_error
0.332049
mean_absolute_error
0.379333
mean_absolute_error
0.349971
mean_absolute_error
0.405777
mean_absolute_error
0.379242
mean_absolute_error
0.338174
mean_absolute_error
0.343883
mean_absolute_error
0.338924
mean_absolute_error
0.35809
mean_absolute_error
0.359705
mean_absolute_error
0.376154
mean_absolute_error
0.353582
mean_absolute_error
0.346344
mean_absolute_error
0.357998
mean_absolute_error
0.361849
mean_absolute_error
0.331155
mean_absolute_error
0.343855
mean_absolute_error
0.336426
mean_absolute_error
0.327521
mean_absolute_error
0.380845
mean_absolute_error
0.377464
mean_absolute_error
0.336812
mean_absolute_error
0.342163
mean_absolute_error
0.341798
mean_absolute_error
0.36743
mean_absolute_error
0.324304
mean_absolute_error
0.351333
mean_absolute_error
0.366877
mean_absolute_error
0.3158
mean_absolute_error
0.34265
mean_absolute_error
0.33355
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
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0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.497291
mean_prior_absolute_error
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mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.497291
mean_prior_absolute_error
0.498645
mean_prior_absolute_error
0.498645
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [24,26]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [24,26]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [24,26]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [24,26]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [24,26]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [24,26]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [23,27]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [23,27]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [23,27]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [23,27]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [23,27]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [23,27]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
number_of_instances
50 [23,27]
number_of_instances
50 [24,26]
number_of_instances
50 [24,26]
precision
0.861026 [0.833333,0.884615]
precision
0.900962 [0.875,0.923077]
precision
0.866538 [0.807692,0.916667]
precision
0.866538 [0.807692,0.916667]
precision
0.805908 [0.709677,0.894737]
precision
0.841182 [0.857143,0.827586]
precision
0.876883 [0.785714,0.954545]
precision
0.8 [0.791667,0.807692]
precision
0.760131 [0.761905,0.758621]
precision
0.891337 [0.814815,0.956522]
precision
0.850333 [0.733333,0.95]
precision
0.881708 [0.904762,0.862069]
precision
0.8832 [0.84,0.92]
precision
0.800657 [0.809524,0.793103]
precision
0.68013 [0.681818,0.678571]
precision
0.850333 [0.733333,0.95]
precision
0.7232 [0.68,0.76]
precision
0.8208 [0.8,0.84]
precision
0.904828 [0.793103,1]
precision
0.8 [0.782609,0.814815]
precision
0.866538 [0.807692,0.916667]
precision
0.900325 [0.909091,0.892857]
precision
0.861026 [0.833333,0.884615]
precision
0.835909 [0.75,0.909091]
precision
0.820225 [0.826087,0.814815]
precision
0.84 [0.826087,0.851852]
precision
0.850821 [0.777778,0.913043]
precision
0.802564 [0.769231,0.833333]
precision
0.900962 [0.875,0.923077]
precision
0.82109 [0.791667,0.846154]
precision
0.76 [0.73913,0.777778]
precision
0.8 [0.782609,0.814815]
precision
0.866538 [0.807692,0.916667]
precision
0.745962 [0.692308,0.791667]
precision
0.850821 [0.777778,0.913043]
precision
0.900962 [0.875,0.923077]
precision
0.826346 [0.769231,0.875]
precision
0.722173 [0.736842,0.709677]
precision
0.900962 [0.875,0.923077]
precision
0.729275 [0.666667,0.782609]
precision
0.866538 [0.807692,0.916667]
precision
0.729275 [0.666667,0.782609]
precision
0.819935 [0.818182,0.821429]
precision
0.835909 [0.75,0.909091]
precision
0.881708 [0.904762,0.862069]
precision
0.810306 [0.740741,0.869565]
precision
0.922233 [0.952381,0.896552]
precision
0.77974 [0.772727,0.785714]
precision
0.8032 [0.76,0.84]
precision
0.821675 [0.724138,0.904762]
precision
0.800657 [0.809524,0.793103]
precision
0.841182 [0.857143,0.827586]
precision
0.861026 [0.833333,0.884615]
precision
0.881708 [0.904762,0.862069]
precision
0.8432 [0.8,0.88]
precision
0.8432 [0.8,0.88]
precision
0.92 [0.913043,0.925926]
precision
0.753961 [0.678571,0.818182]
precision
0.92 [0.913043,0.925926]
precision
0.86013 [0.863636,0.857143]
precision
0.841182 [0.857143,0.827586]
precision
0.780099 [0.689655,0.857143]
precision
0.8832 [0.84,0.92]
precision
0.904828 [0.793103,1]
precision
0.891337 [0.814815,0.956522]
precision
0.739545 [0.727273,0.75]
precision
0.699351 [0.681818,0.714286]
precision
0.88 [0.869565,0.888889]
precision
0.826346 [0.769231,0.875]
precision
0.8432 [0.8,0.88]
precision
0.710673 [0.655172,0.761905]
precision
0.742266 [0.761905,0.724138]
precision
0.739048 [0.611111,0.857143]
precision
0.801299 [0.818182,0.785714]
precision
0.781154 [0.75,0.807692]
precision
0.7408 [0.72,0.76]
precision
0.8608 [0.84,0.88]
precision
0.835909 [0.75,0.909091]
precision
0.802564 [0.769231,0.833333]
precision
0.724 [0.75,0.7]
precision
0.806667 [0.85,0.766667]
precision
0.825507 [0.777778,0.869565]
precision
0.705942 [0.736842,0.677419]
precision
0.74798 [0.789474,0.709677]
precision
0.940519 [0.954545,0.928571]
precision
0.882078 [0.909091,0.857143]
precision
0.84987 [0.785714,0.909091]
precision
0.86013 [0.863636,0.857143]
precision
0.742266 [0.761905,0.724138]
precision
0.7933 [0.724138,0.857143]
precision
0.88 [0.875,0.884615]
precision
0.762436 [0.730769,0.791667]
precision
0.785121 [0.740741,0.826087]
precision
0.751987 [0.689655,0.809524]
precision
0.82109 [0.791667,0.846154]
precision
0.802564 [0.769231,0.833333]
precision
0.7808 [0.76,0.8]
precision
0.8432 [0.8,0.88]
precision
0.820225 [0.826087,0.814815]
precision
0.8608 [0.84,0.88]
predictive_accuracy
0.86
predictive_accuracy
0.9
predictive_accuracy
0.86
predictive_accuracy
0.86
predictive_accuracy
0.78
predictive_accuracy
0.84
predictive_accuracy
0.86
predictive_accuracy
0.8
predictive_accuracy
0.76
predictive_accuracy
0.88
predictive_accuracy
0.82
predictive_accuracy
0.88
predictive_accuracy
0.88
predictive_accuracy
0.8
predictive_accuracy
0.68
predictive_accuracy
0.82
predictive_accuracy
0.72
predictive_accuracy
0.82
predictive_accuracy
0.88
predictive_accuracy
0.8
predictive_accuracy
0.86
predictive_accuracy
0.9
predictive_accuracy
0.86
predictive_accuracy
0.82
predictive_accuracy
0.82
predictive_accuracy
0.84
predictive_accuracy
0.84
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
0.82
predictive_accuracy
0.76
predictive_accuracy
0.8
predictive_accuracy
0.86
predictive_accuracy
0.74
predictive_accuracy
0.84
predictive_accuracy
0.9
predictive_accuracy
0.82
predictive_accuracy
0.72
predictive_accuracy
0.9
predictive_accuracy
0.72
predictive_accuracy
0.86
predictive_accuracy
0.72
predictive_accuracy
0.82
predictive_accuracy
0.82
predictive_accuracy
0.88
predictive_accuracy
0.8
predictive_accuracy
0.92
predictive_accuracy
0.78
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.84
predictive_accuracy
0.86
predictive_accuracy
0.88
predictive_accuracy
0.84
predictive_accuracy
0.84
predictive_accuracy
0.92
predictive_accuracy
0.74
predictive_accuracy
0.92
predictive_accuracy
0.86
predictive_accuracy
0.84
predictive_accuracy
0.76
predictive_accuracy
0.88
predictive_accuracy
0.88
predictive_accuracy
0.88
predictive_accuracy
0.74
predictive_accuracy
0.7
predictive_accuracy
0.88
predictive_accuracy
0.82
predictive_accuracy
0.84
predictive_accuracy
0.7
predictive_accuracy
0.74
predictive_accuracy
0.68
predictive_accuracy
0.8
predictive_accuracy
0.78
predictive_accuracy
0.74
predictive_accuracy
0.86
predictive_accuracy
0.82
predictive_accuracy
0.8
predictive_accuracy
0.72
predictive_accuracy
0.8
predictive_accuracy
0.82
predictive_accuracy
0.7
predictive_accuracy
0.74
predictive_accuracy
0.94
predictive_accuracy
0.88
predictive_accuracy
0.84
predictive_accuracy
0.86
predictive_accuracy
0.74
predictive_accuracy
0.78
predictive_accuracy
0.88
predictive_accuracy
0.76
predictive_accuracy
0.78
predictive_accuracy
0.74
predictive_accuracy
0.82
predictive_accuracy
0.8
predictive_accuracy
0.78
predictive_accuracy
0.84
predictive_accuracy
0.82
predictive_accuracy
0.86
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
prior_entropy
0.996688
recall
0.86 [0.869565,0.851852]
recall
0.9 [0.913043,0.888889]
recall
0.86 [0.913043,0.814815]
recall
0.86 [0.913043,0.814815]
recall
0.78 [0.916667,0.653846]
recall
0.84 [0.782609,0.888889]
recall
0.86 [0.956522,0.777778]
recall
0.8 [0.791667,0.807692]
recall
0.76 [0.695652,0.814815]
recall
0.88 [0.956522,0.814815]
recall
0.82 [0.956522,0.703704]
recall
0.88 [0.826087,0.925926]
recall
0.88 [0.913043,0.851852]
recall
0.8 [0.73913,0.851852]
recall
0.68 [0.625,0.730769]
recall
0.82 [0.956522,0.703704]
recall
0.72 [0.73913,0.703704]
recall
0.82 [0.833333,0.807692]
recall
0.88 [1,0.777778]
recall
0.8 [0.782609,0.814815]
recall
0.86 [0.913043,0.814815]
recall
0.9 [0.869565,0.925926]
recall
0.86 [0.869565,0.851852]
recall
0.82 [0.913043,0.740741]
recall
0.82 [0.791667,0.846154]
recall
0.84 [0.826087,0.851852]
recall
0.84 [0.913043,0.777778]
recall
0.8 [0.833333,0.769231]
recall
0.9 [0.913043,0.888889]
recall
0.82 [0.826087,0.814815]
recall
0.76 [0.73913,0.777778]
recall
0.8 [0.782609,0.814815]
recall
0.86 [0.913043,0.814815]
recall
0.74 [0.782609,0.703704]
recall
0.84 [0.913043,0.777778]
recall
0.9 [0.913043,0.888889]
recall
0.82 [0.869565,0.777778]
recall
0.72 [0.608696,0.814815]
recall
0.9 [0.913043,0.888889]
recall
0.72 [0.782609,0.666667]
recall
0.86 [0.913043,0.814815]
recall
0.72 [0.782609,0.666667]
recall
0.82 [0.782609,0.851852]
recall
0.82 [0.913043,0.740741]
recall
0.88 [0.826087,0.925926]
recall
0.8 [0.869565,0.740741]
recall
0.92 [0.869565,0.962963]
recall
0.78 [0.73913,0.814815]
recall
0.8 [0.826087,0.777778]
recall
0.8 [0.913043,0.703704]
recall
0.8 [0.73913,0.851852]
recall
0.84 [0.782609,0.888889]
recall
0.86 [0.869565,0.851852]
recall
0.88 [0.826087,0.925926]
recall
0.84 [0.869565,0.814815]
recall
0.84 [0.869565,0.814815]
recall
0.92 [0.913043,0.925926]
recall
0.74 [0.826087,0.666667]
recall
0.92 [0.913043,0.925926]
recall
0.86 [0.826087,0.888889]
recall
0.84 [0.782609,0.888889]
recall
0.76 [0.869565,0.666667]
recall
0.88 [0.913043,0.851852]
recall
0.88 [1,0.777778]
recall
0.88 [0.956522,0.814815]
recall
0.74 [0.695652,0.777778]
recall
0.7 [0.652174,0.740741]
recall
0.88 [0.869565,0.888889]
recall
0.82 [0.869565,0.777778]
recall
0.84 [0.869565,0.814815]
recall
0.7 [0.791667,0.615385]
recall
0.74 [0.666667,0.807692]
recall
0.68 [0.916667,0.461538]
recall
0.8 [0.75,0.846154]
recall
0.78 [0.782609,0.777778]
recall
0.74 [0.75,0.730769]
recall
0.86 [0.875,0.846154]
recall
0.82 [0.913043,0.740741]
recall
0.8 [0.833333,0.769231]
recall
0.72 [0.625,0.807692]
recall
0.8 [0.708333,0.884615]
recall
0.82 [0.875,0.769231]
recall
0.7 [0.583333,0.807692]
recall
0.74 [0.625,0.846154]
recall
0.94 [0.913043,0.962963]
recall
0.88 [0.833333,0.923077]
recall
0.84 [0.916667,0.769231]
recall
0.86 [0.826087,0.888889]
recall
0.74 [0.666667,0.807692]
recall
0.78 [0.875,0.692308]
recall
0.88 [0.875,0.884615]
recall
0.76 [0.791667,0.730769]
recall
0.78 [0.833333,0.730769]
recall
0.74 [0.833333,0.653846]
recall
0.82 [0.826087,0.814815]
recall
0.8 [0.833333,0.769231]
recall
0.78 [0.791667,0.769231]
recall
0.84 [0.869565,0.814815]
recall
0.82 [0.791667,0.846154]
recall
0.86 [0.875,0.846154]
relative_absolute_error
0.690224
relative_absolute_error
0.58926
relative_absolute_error
0.697565
relative_absolute_error
0.683228
relative_absolute_error
0.692375
relative_absolute_error
0.652675
relative_absolute_error
0.664858
relative_absolute_error
0.707989
relative_absolute_error
0.748581
relative_absolute_error
0.659018
relative_absolute_error
0.698216
relative_absolute_error
0.627982
relative_absolute_error
0.653994
relative_absolute_error
0.621003
relative_absolute_error
0.735482
relative_absolute_error
0.738236
relative_absolute_error
0.751777
relative_absolute_error
0.726906
relative_absolute_error
0.696417
relative_absolute_error
0.684861
relative_absolute_error
0.609089
relative_absolute_error
0.636145
relative_absolute_error
0.681188
relative_absolute_error
0.705919
relative_absolute_error
0.771079
relative_absolute_error
0.682734
relative_absolute_error
0.727661
relative_absolute_error
0.727076
relative_absolute_error
0.63572
relative_absolute_error
0.686121
relative_absolute_error
0.71055
relative_absolute_error
0.72909
relative_absolute_error
0.649844
relative_absolute_error
0.7081
relative_absolute_error
0.646235
relative_absolute_error
0.675723
relative_absolute_error
0.676896
relative_absolute_error
0.747407
relative_absolute_error
0.683582
relative_absolute_error
0.750624
relative_absolute_error
0.656251
relative_absolute_error
0.807212
relative_absolute_error
0.698026
relative_absolute_error
0.648441
relative_absolute_error
0.690886
relative_absolute_error
0.750657
relative_absolute_error
0.620274
relative_absolute_error
0.70122
relative_absolute_error
0.728084
relative_absolute_error
0.722508
relative_absolute_error
0.679275
relative_absolute_error
0.677769
relative_absolute_error
0.668054
relative_absolute_error
0.638329
relative_absolute_error
0.691164
relative_absolute_error
0.657537
relative_absolute_error
0.606288
relative_absolute_error
0.743494
relative_absolute_error
0.622714
relative_absolute_error
0.65217
relative_absolute_error
0.64851
relative_absolute_error
0.706058
relative_absolute_error
0.665771
relative_absolute_error
0.676108
relative_absolute_error
0.695301
relative_absolute_error
0.738199
relative_absolute_error
0.746083
relative_absolute_error
0.647993
relative_absolute_error
0.642903
relative_absolute_error
0.667716
relative_absolute_error
0.760727
relative_absolute_error
0.701844
relative_absolute_error
0.813758
relative_absolute_error
0.760544
relative_absolute_error
0.680033
relative_absolute_error
0.689635
relative_absolute_error
0.679689
relative_absolute_error
0.720081
relative_absolute_error
0.721363
relative_absolute_error
0.754353
relative_absolute_error
0.709085
relative_absolute_error
0.69457
relative_absolute_error
0.717941
relative_absolute_error
0.725665
relative_absolute_error
0.665919
relative_absolute_error
0.689579
relative_absolute_error
0.67468
relative_absolute_error
0.658611
relative_absolute_error
0.763758
relative_absolute_error
0.756978
relative_absolute_error
0.675455
relative_absolute_error
0.686185
relative_absolute_error
0.685453
relative_absolute_error
0.736857
relative_absolute_error
0.652142
relative_absolute_error
0.704575
relative_absolute_error
0.735746
relative_absolute_error
0.635042
relative_absolute_error
0.687161
relative_absolute_error
0.668911
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.498435
root_mean_prior_squared_error
0.499792
root_mean_prior_squared_error
0.499792
root_mean_squared_error
0.379452
root_mean_squared_error
0.323686
root_mean_squared_error
0.383337
root_mean_squared_error
0.370098
root_mean_squared_error
0.38635
root_mean_squared_error
0.377671
root_mean_squared_error
0.364031
root_mean_squared_error
0.385014
root_mean_squared_error
0.414018
root_mean_squared_error
0.359859
root_mean_squared_error
0.391194
root_mean_squared_error
0.349353
root_mean_squared_error
0.357337
root_mean_squared_error
0.351074
root_mean_squared_error
0.418134
root_mean_squared_error
0.398092
root_mean_squared_error
0.407349
root_mean_squared_error
0.405447
root_mean_squared_error
0.380147
root_mean_squared_error
0.378671
root_mean_squared_error
0.342775
root_mean_squared_error
0.342677
root_mean_squared_error
0.382566
root_mean_squared_error
0.384171
root_mean_squared_error
0.412579
root_mean_squared_error
0.371081
root_mean_squared_error
0.388261
root_mean_squared_error
0.404883
root_mean_squared_error
0.345472
root_mean_squared_error
0.386886
root_mean_squared_error
0.399188
root_mean_squared_error
0.399
root_mean_squared_error
0.361652
root_mean_squared_error
0.402068
root_mean_squared_error
0.360171
root_mean_squared_error
0.35819
root_mean_squared_error
0.376516
root_mean_squared_error
0.403558
root_mean_squared_error
0.36979
root_mean_squared_error
0.410269
root_mean_squared_error
0.360137
root_mean_squared_error
0.439841
root_mean_squared_error
0.38172
root_mean_squared_error
0.363399
root_mean_squared_error
0.379855
root_mean_squared_error
0.407967
root_mean_squared_error
0.33814
root_mean_squared_error
0.389833
root_mean_squared_error
0.397351
root_mean_squared_error
0.39635
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