430773
2
Joaquin Vanschoren
4350
Supervised Classification
predictive_accuracy
1196
weka.RotationForest_PrincipalComponents_J48(14)
2062
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 10 -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
10
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
1504986
description
https://api.openml.org/data/download/1504986/weka_generated_run2633178194158228551.xml
-1
1504989
model_readable
https://api.openml.org/data/download/1504989/WekaModel_weka.classifiers.meta.RotationForest1629217140846470194.model
-1
1504988
model_serialized
https://api.openml.org/data/download/1504988/WekaSerialized_weka.classifiers.meta.RotationForest7245916749749513991.model
-1
1504987
predictions
https://api.openml.org/data/download/1504987/weka_generated_predictions2665497352577156238.arff
area_under_roc_curve
0.858749 [0.858749,0.858749]
average_cost
0
f_measure
0.779954 [0.766885,0.791359]
kappa
0.558315
kb_relative_information_score
1723.28669
mean_absolute_error
0.344129
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
0.780356 [0.756791,0.800921]
predictive_accuracy
0.7798
prior_entropy
0.996688
recall
0.7798 [0.777253,0.782022]
relative_absolute_error
0.691442
root_mean_prior_squared_error
0.498843
root_mean_squared_error
0.396684
root_relative_squared_error
0.795209
scimark_benchmark
935.321191 [553.0249257258525, 1009.6699252256896, 481.0671011934597, 906.7588967825698, 1726.0851055856206]
total_cost
0
usercpu_time_millis
400
usercpu_time_millis_testing
100
usercpu_time_millis_training
300
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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
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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
0.860577 [0.860577,0.860577]
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
0.825321 [0.825321,0.825321]
area_under_roc_curve
0.930757 [0.930757,0.930757]
area_under_roc_curve
0.894231 [0.894231,0.894231]
area_under_roc_curve
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area_under_roc_curve
0.84219 [0.84219,0.84219]
area_under_roc_curve
0.809295 [0.809295,0.809295]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.852564 [0.852564,0.852564]
area_under_roc_curve
0.831731 [0.831731,0.831731]
area_under_roc_curve
0.908654 [0.908654,0.908654]
area_under_roc_curve
0.836538 [0.836538,0.836538]
area_under_roc_curve
0.855072 [0.855072,0.855072]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.922705 [0.922705,0.922705]
area_under_roc_curve
0.916667 [0.916667,0.916667]
area_under_roc_curve
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f_measure
0.819636 [0.8,0.836364]
f_measure
0.839221 [0.818182,0.857143]
f_measure
0.720449 [0.708333,0.730769]
f_measure
0.860169 [0.851064,0.867925]
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
0.713182 [0.75,0.681818]
f_measure
0.839221 [0.818182,0.857143]
f_measure
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f_measure
0.899143 [0.883721,0.912281]
f_measure
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f_measure
0.68 [0.68,0.68]
f_measure
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f_measure
0.798052 [0.772727,0.821429]
f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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kb_relative_information_score
19.712345
kb_relative_information_score
20.525606
kb_relative_information_score
22.667952
kb_relative_information_score
11.931087
kb_relative_information_score
14.01864
kb_relative_information_score
16.575813
kb_relative_information_score
15.763553
kb_relative_information_score
21.381151
kb_relative_information_score
19.417515
kb_relative_information_score
18.607467
kb_relative_information_score
12.458014
kb_relative_information_score
19.977204
kb_relative_information_score
17.961944
kb_relative_information_score
17.135698
kb_relative_information_score
16.872349
kb_relative_information_score
20.414621
kb_relative_information_score
16.561495
kb_relative_information_score
19.036258
kb_relative_information_score
17.398611
kb_relative_information_score
17.696846
kb_relative_information_score
11.26434
kb_relative_information_score
16.673981
kb_relative_information_score
24.617487
kb_relative_information_score
16.425373
kb_relative_information_score
8.582797
kb_relative_information_score
20.54181
kb_relative_information_score
17.86739
kb_relative_information_score
15.525054
kb_relative_information_score
16.443169
kb_relative_information_score
12.75304
kb_relative_information_score
16.783842
kb_relative_information_score
21.717053
kb_relative_information_score
25.240353
kb_relative_information_score
21.094944
kb_relative_information_score
20.094625
kb_relative_information_score
20.239083
kb_relative_information_score
14.527212
kb_relative_information_score
20.301099
kb_relative_information_score
21.635715
kb_relative_information_score
20.370827
kb_relative_information_score
16.712301
kb_relative_information_score
17.222302
kb_relative_information_score
16.962103
kb_relative_information_score
19.972721
kb_relative_information_score
14.148132
kb_relative_information_score
13.27693
kb_relative_information_score
17.145359
kb_relative_information_score
18.764418
kb_relative_information_score
16.62647
kb_relative_information_score
9.931575
kb_relative_information_score
16.731062
kb_relative_information_score
8.979447
kb_relative_information_score
15.730058
kb_relative_information_score
20.456438
kb_relative_information_score
18.546616
kb_relative_information_score
18.810678
kb_relative_information_score
15.563071
kb_relative_information_score
14.179941
kb_relative_information_score
11.109008
kb_relative_information_score
16.608211
kb_relative_information_score
15.660533
kb_relative_information_score
20.733555
kb_relative_information_score
15.571209
kb_relative_information_score
22.205538
kb_relative_information_score
18.759547
kb_relative_information_score
15.301234
kb_relative_information_score
16.050201
kb_relative_information_score
14.322864
kb_relative_information_score
14.412686
kb_relative_information_score
16.193757
kb_relative_information_score
17.818138
kb_relative_information_score
21.507804
kb_relative_information_score
15.669158
kb_relative_information_score
16.162251
kb_relative_information_score
14.737075
kb_relative_information_score
15.864288
kb_relative_information_score
21.938637
kb_relative_information_score
20.938326
kb_relative_information_score
12.535418
mean_absolute_error
0.342304
mean_absolute_error
0.311039
mean_absolute_error
0.358671
mean_absolute_error
0.307454
mean_absolute_error
0.356593
mean_absolute_error
0.346085
mean_absolute_error
0.326258
mean_absolute_error
0.349525
mean_absolute_error
0.378054
mean_absolute_error
0.351402
mean_absolute_error
0.357387
mean_absolute_error
0.319287
mean_absolute_error
0.315079
mean_absolute_error
0.2792
mean_absolute_error
0.386064
mean_absolute_error
0.402476
mean_absolute_error
0.378107
mean_absolute_error
0.371353
mean_absolute_error
0.326423
mean_absolute_error
0.339855
mean_absolute_error
0.332899
mean_absolute_error
0.319782
mean_absolute_error
0.31458
mean_absolute_error
0.298835
mean_absolute_error
0.391648
mean_absolute_error
0.369224
mean_absolute_error
0.353383
mean_absolute_error
0.362256
mean_absolute_error
0.305769
mean_absolute_error
0.325843
mean_absolute_error
0.331473
mean_absolute_error
0.389303
mean_absolute_error
0.318566
mean_absolute_error
0.337182
mean_absolute_error
0.346627
mean_absolute_error
0.3464
mean_absolute_error
0.312816
mean_absolute_error
0.350414
mean_absolute_error
0.3259
mean_absolute_error
0.342643
mean_absolute_error
0.339671
mean_absolute_error
0.399287
mean_absolute_error
0.349264
mean_absolute_error
0.272215
mean_absolute_error
0.352922
mean_absolute_error
0.417962
mean_absolute_error
0.310122
mean_absolute_error
0.334881
mean_absolute_error
0.3566
mean_absolute_error
0.348492
mean_absolute_error
0.386896
mean_absolute_error
0.348847
mean_absolute_error
0.30079
mean_absolute_error
0.272549
mean_absolute_error
0.304259
mean_absolute_error
0.323561
mean_absolute_error
0.320776
mean_absolute_error
0.36963
mean_absolute_error
0.319113
mean_absolute_error
0.299728
mean_absolute_error
0.320392
mean_absolute_error
0.344995
mean_absolute_error
0.340045
mean_absolute_error
0.347821
mean_absolute_error
0.321536
mean_absolute_error
0.367808
mean_absolute_error
0.375198
mean_absolute_error
0.345754
mean_absolute_error
0.330863
mean_absolute_error
0.350295
mean_absolute_error
0.407963
mean_absolute_error
0.351502
mean_absolute_error
0.418078
mean_absolute_error
0.359999
mean_absolute_error
0.31529
mean_absolute_error
0.335073
mean_absolute_error
0.333218
mean_absolute_error
0.359273
mean_absolute_error
0.374018
mean_absolute_error
0.394842
mean_absolute_error
0.34935
mean_absolute_error
0.358207
mean_absolute_error
0.313144
mean_absolute_error
0.358284
mean_absolute_error
0.303953
mean_absolute_error
0.332211
mean_absolute_error
0.364488
mean_absolute_error
0.354712
mean_absolute_error
0.371738
mean_absolute_error
0.372459
mean_absolute_error
0.353699
mean_absolute_error
0.33718
mean_absolute_error
0.305175
mean_absolute_error
0.357218
mean_absolute_error
0.353039
mean_absolute_error
0.369886
mean_absolute_error
0.359633
mean_absolute_error
0.301565
mean_absolute_error
0.314733
mean_absolute_error
0.382512
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
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
0.498645
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
0.819935 [0.818182,0.821429]
precision
0.841182 [0.857143,0.827586]
precision
0.7232 [0.68,0.76]
precision
0.861026 [0.833333,0.884615]
precision
0.727532 [0.678571,0.772727]
precision
0.728128 [0.764706,0.69697]
precision
0.82109 [0.791667,0.846154]
precision
0.8 [0.791667,0.807692]
precision
0.77974 [0.772727,0.785714]
precision
0.769791 [0.703704,0.826087]
precision
0.769198 [0.636364,0.882353]
precision
0.841182 [0.857143,0.827586]
precision
0.82109 [0.791667,0.846154]
precision
0.905 [0.95,0.866667]
precision
0.727532 [0.678571,0.772727]
precision
0.68876 [0.62963,0.73913]
precision
0.699351 [0.681818,0.714286]
precision
0.806667 [0.85,0.766667]
precision
0.781154 [0.75,0.807692]
precision
0.7232 [0.68,0.76]
precision
0.861026 [0.833333,0.884615]
precision
0.8432 [0.8,0.88]
precision
0.841182 [0.857143,0.827586]
precision
0.900325 [0.909091,0.892857]
precision
0.619901 [0.619048,0.62069]
precision
0.745903 [0.777778,0.71875]
precision
0.821675 [0.724138,0.904762]
precision
0.820225 [0.826087,0.814815]
precision
0.830764 [0.888889,0.78125]
precision
0.881708 [0.904762,0.862069]
precision
0.781154 [0.75,0.807692]
precision
0.741 [0.75,0.733333]
precision
0.8032 [0.76,0.84]
precision
0.810306 [0.740741,0.869565]
precision
0.794935 [0.714286,0.863636]
precision
0.741218 [0.708333,0.769231]
precision
0.826346 [0.769231,0.875]
precision
0.77974 [0.772727,0.785714]
precision
0.800657 [0.809524,0.793103]
precision
0.76 [0.73913,0.777778]
precision
0.794935 [0.714286,0.863636]
precision
0.7232 [0.68,0.76]
precision
0.77974 [0.772727,0.785714]
precision
0.850821 [0.777778,0.913043]
precision
0.82109 [0.791667,0.846154]
precision
0.665577 [0.615385,0.708333]
precision
0.800657 [0.809524,0.793103]
precision
0.760131 [0.761905,0.758621]
precision
0.665577 [0.615385,0.708333]
precision
0.753961 [0.678571,0.818182]
precision
0.741 [0.75,0.733333]
precision
0.800657 [0.809524,0.793103]
precision
0.8432 [0.8,0.88]
precision
0.930323 [1,0.870968]
precision
0.8032 [0.76,0.84]
precision
0.8832 [0.84,0.92]
precision
0.86013 [0.863636,0.857143]
precision
0.786154 [0.730769,0.833333]
precision
0.88 [0.869565,0.888889]
precision
0.800657 [0.809524,0.793103]
precision
0.881708 [0.904762,0.862069]
precision
0.729275 [0.666667,0.782609]
precision
0.741 [0.75,0.733333]
precision
0.863251 [0.758621,0.952381]
precision
0.8832 [0.84,0.92]
precision
0.7232 [0.68,0.76]
precision
0.661042 [0.666667,0.65625]
precision
0.8032 [0.76,0.84]
precision
0.8 [0.782609,0.814815]
precision
0.769791 [0.703704,0.826087]
precision
0.601923 [0.576923,0.625]
precision
0.742266 [0.761905,0.724138]
precision
0.677351 [0.612903,0.736842]
precision
0.762436 [0.730769,0.791667]
precision
0.82109 [0.791667,0.846154]
precision
0.8 [0.791667,0.807692]
precision
0.84 [0.833333,0.846154]
precision
0.794935 [0.714286,0.863636]
precision
0.7408 [0.72,0.76]
precision
0.619581 [0.608696,0.62963]
precision
0.72 [0.708333,0.730769]
precision
0.7933 [0.724138,0.857143]
precision
0.848 [0.9,0.8]
precision
0.77375 [0.833333,0.71875]
precision
0.922233 [0.952381,0.896552]
precision
0.783054 [0.809524,0.758621]
precision
0.785121 [0.740741,0.826087]
precision
0.771551 [0.823529,0.727273]
precision
0.7408 [0.72,0.76]
precision
0.7408 [0.72,0.76]
precision
0.739968 [0.73913,0.740741]
precision
0.762436 [0.730769,0.791667]
precision
0.768312 [0.714286,0.818182]
precision
0.7408 [0.72,0.76]
precision
0.781154 [0.75,0.807692]
precision
0.763056 [0.677419,0.842105]
precision
0.7808 [0.76,0.8]
precision
0.891337 [0.814815,0.956522]
precision
0.860354 [0.869565,0.851852]
precision
0.663961 [0.62963,0.695652]
predictive_accuracy
0.82
predictive_accuracy
0.84
predictive_accuracy
0.72
predictive_accuracy
0.86
predictive_accuracy
0.72
predictive_accuracy
0.72
predictive_accuracy
0.82
predictive_accuracy
0.8
predictive_accuracy
0.78
predictive_accuracy
0.76
predictive_accuracy
0.72
predictive_accuracy
0.84
predictive_accuracy
0.82
predictive_accuracy
0.9
predictive_accuracy
0.72
predictive_accuracy
0.68
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.78
predictive_accuracy
0.72
predictive_accuracy
0.86
predictive_accuracy
0.84
predictive_accuracy
0.84
predictive_accuracy
0.9
predictive_accuracy
0.62
predictive_accuracy
0.74
predictive_accuracy
0.8
predictive_accuracy
0.82
predictive_accuracy
0.82
predictive_accuracy
0.88
predictive_accuracy
0.78
predictive_accuracy
0.74
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.78
predictive_accuracy
0.74
predictive_accuracy
0.82
predictive_accuracy
0.78
predictive_accuracy
0.8
predictive_accuracy
0.76
predictive_accuracy
0.78
predictive_accuracy
0.72
predictive_accuracy
0.78
predictive_accuracy
0.84
predictive_accuracy
0.82
predictive_accuracy
0.66
predictive_accuracy
0.8
predictive_accuracy
0.76
predictive_accuracy
0.66
predictive_accuracy
0.74
predictive_accuracy
0.74
predictive_accuracy
0.8
predictive_accuracy
0.84
predictive_accuracy
0.92
predictive_accuracy
0.8
predictive_accuracy
0.88
predictive_accuracy
0.86
predictive_accuracy
0.78
predictive_accuracy
0.88
predictive_accuracy
0.8
predictive_accuracy
0.88
predictive_accuracy
0.72
predictive_accuracy
0.74
predictive_accuracy
0.84
predictive_accuracy
0.88
predictive_accuracy
0.72
predictive_accuracy
0.66
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.76
predictive_accuracy
0.6
predictive_accuracy
0.74
predictive_accuracy
0.66
predictive_accuracy
0.76
predictive_accuracy
0.82
predictive_accuracy
0.8
predictive_accuracy
0.84
predictive_accuracy
0.78
predictive_accuracy
0.74
predictive_accuracy
0.62
predictive_accuracy
0.72
predictive_accuracy
0.78
predictive_accuracy
0.84
predictive_accuracy
0.76
predictive_accuracy
0.92
predictive_accuracy
0.78
predictive_accuracy
0.78
predictive_accuracy
0.76
predictive_accuracy
0.74
predictive_accuracy
0.74
predictive_accuracy
0.74
predictive_accuracy
0.76
predictive_accuracy
0.76
predictive_accuracy
0.74
predictive_accuracy
0.78
predictive_accuracy
0.74
predictive_accuracy
0.78
predictive_accuracy
0.88
predictive_accuracy
0.86
predictive_accuracy
0.66
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
0.82 [0.782609,0.851852]
recall
0.84 [0.782609,0.888889]
recall
0.72 [0.73913,0.703704]
recall
0.86 [0.869565,0.851852]
recall
0.72 [0.791667,0.653846]
recall
0.72 [0.565217,0.851852]
recall
0.82 [0.826087,0.814815]
recall
0.8 [0.791667,0.807692]
recall
0.78 [0.73913,0.814815]
recall
0.76 [0.826087,0.703704]
recall
0.72 [0.913043,0.555556]
recall
0.84 [0.782609,0.888889]
recall
0.82 [0.826087,0.814815]
recall
0.9 [0.826087,0.962963]
recall
0.72 [0.791667,0.653846]
recall
0.68 [0.73913,0.62963]
recall
0.7 [0.652174,0.740741]
recall
0.8 [0.708333,0.884615]
recall
0.78 [0.782609,0.777778]
recall
0.72 [0.73913,0.703704]
recall
0.86 [0.869565,0.851852]
recall
0.84 [0.869565,0.814815]
recall
0.84 [0.782609,0.888889]
recall
0.9 [0.869565,0.925926]
recall
0.62 [0.541667,0.692308]
recall
0.74 [0.608696,0.851852]
recall
0.8 [0.913043,0.703704]
recall
0.82 [0.791667,0.846154]
recall
0.82 [0.695652,0.925926]
recall
0.88 [0.826087,0.925926]
recall
0.78 [0.782609,0.777778]
recall
0.74 [0.652174,0.814815]
recall
0.8 [0.826087,0.777778]
recall
0.8 [0.869565,0.740741]
recall
0.78 [0.869565,0.703704]
recall
0.74 [0.73913,0.740741]
recall
0.82 [0.869565,0.777778]
recall
0.78 [0.73913,0.814815]
recall
0.8 [0.73913,0.851852]
recall
0.76 [0.73913,0.777778]
recall
0.78 [0.869565,0.703704]
recall
0.72 [0.73913,0.703704]
recall
0.78 [0.73913,0.814815]
recall
0.84 [0.913043,0.777778]
recall
0.82 [0.826087,0.814815]
recall
0.66 [0.695652,0.62963]
recall
0.8 [0.73913,0.851852]
recall
0.76 [0.695652,0.814815]
recall
0.66 [0.695652,0.62963]
recall
0.74 [0.826087,0.666667]
recall
0.74 [0.652174,0.814815]
recall
0.8 [0.73913,0.851852]
recall
0.84 [0.869565,0.814815]
recall
0.92 [0.826087,1]
recall
0.8 [0.826087,0.777778]
recall
0.88 [0.913043,0.851852]
recall
0.86 [0.826087,0.888889]
recall
0.78 [0.826087,0.740741]
recall
0.88 [0.869565,0.888889]
recall
0.8 [0.73913,0.851852]
recall
0.88 [0.826087,0.925926]
recall
0.72 [0.782609,0.666667]
recall
0.74 [0.652174,0.814815]
recall
0.84 [0.956522,0.740741]
recall
0.88 [0.913043,0.851852]
recall
0.72 [0.73913,0.703704]
recall
0.66 [0.521739,0.777778]
recall
0.8 [0.826087,0.777778]
recall
0.8 [0.782609,0.814815]
recall
0.76 [0.826087,0.703704]
recall
0.6 [0.625,0.576923]
recall
0.74 [0.666667,0.807692]
recall
0.66 [0.791667,0.538462]
recall
0.76 [0.791667,0.730769]
recall
0.82 [0.826087,0.814815]
recall
0.8 [0.791667,0.807692]
recall
0.84 [0.833333,0.846154]
recall
0.78 [0.869565,0.703704]
recall
0.74 [0.75,0.730769]
recall
0.62 [0.583333,0.653846]
recall
0.72 [0.708333,0.730769]
recall
0.78 [0.875,0.692308]
recall
0.84 [0.75,0.923077]
recall
0.76 [0.625,0.884615]
recall
0.92 [0.869565,0.962963]
recall
0.78 [0.708333,0.846154]
recall
0.78 [0.833333,0.730769]
recall
0.76 [0.608696,0.888889]
recall
0.74 [0.75,0.730769]
recall
0.74 [0.75,0.730769]
recall
0.74 [0.708333,0.769231]
recall
0.76 [0.791667,0.730769]
recall
0.76 [0.833333,0.692308]
recall
0.74 [0.75,0.730769]
recall
0.78 [0.782609,0.777778]
recall
0.74 [0.875,0.615385]
recall
0.78 [0.791667,0.769231]
recall
0.88 [0.956522,0.814815]
recall
0.86 [0.833333,0.884615]
recall
0.66 [0.708333,0.615385]
relative_absolute_error
0.688337
relative_absolute_error
0.625467
relative_absolute_error
0.721251
relative_absolute_error
0.618259
relative_absolute_error
0.715124
relative_absolute_error
0.695941
relative_absolute_error
0.65607
relative_absolute_error
0.70095
relative_absolute_error
0.760227
relative_absolute_error
0.706634
relative_absolute_error
0.718668
relative_absolute_error
0.642054
relative_absolute_error
0.633592
relative_absolute_error
0.561442
relative_absolute_error
0.774225
relative_absolute_error
0.809338
relative_absolute_error
0.760333
relative_absolute_error
0.744724
relative_absolute_error
0.656402
relative_absolute_error
0.683413
relative_absolute_error
0.669426
relative_absolute_error
0.643047
relative_absolute_error
0.632587
relative_absolute_error
0.600926
relative_absolute_error
0.785423
relative_absolute_error
0.742471
relative_absolute_error
0.710616
relative_absolute_error
0.72648
relative_absolute_error
0.614869
relative_absolute_error
0.655237
relative_absolute_error
0.666559
relative_absolute_error
0.782848
relative_absolute_error
0.640602
relative_absolute_error
0.678038
relative_absolute_error
0.697031
relative_absolute_error
0.696574
relative_absolute_error
0.629039
relative_absolute_error
0.704646
relative_absolute_error
0.655351
relative_absolute_error
0.689019
relative_absolute_error
0.683042
relative_absolute_error
0.802924
relative_absolute_error
0.702333
relative_absolute_error
0.547396
relative_absolute_error
0.709688
relative_absolute_error
0.840479
relative_absolute_error
0.623623
relative_absolute_error
0.67341
relative_absolute_error
0.717085
relative_absolute_error
0.700782
relative_absolute_error
0.778007
relative_absolute_error
0.701495
relative_absolute_error
0.604858
relative_absolute_error
0.548067
relative_absolute_error
0.611833
relative_absolute_error
0.650648
relative_absolute_error
0.645046
relative_absolute_error
0.743287
relative_absolute_error
0.641703
relative_absolute_error
0.602721
relative_absolute_error
0.644274
relative_absolute_error
0.69375
relative_absolute_error
0.683796
relative_absolute_error
0.699431
relative_absolute_error
0.646575
relative_absolute_error
0.739624
relative_absolute_error
0.754484
relative_absolute_error
0.695275
relative_absolute_error
0.665331
relative_absolute_error
0.704407
relative_absolute_error
0.818142
relative_absolute_error
0.704913
relative_absolute_error
0.838427
relative_absolute_error
0.721953
relative_absolute_error
0.634015
relative_absolute_error
0.671967
relative_absolute_error
0.668246
relative_absolute_error
0.72246
relative_absolute_error
0.750067
relative_absolute_error
0.79183
relative_absolute_error
0.700597
relative_absolute_error
0.71836
relative_absolute_error
0.627988
relative_absolute_error
0.718515
relative_absolute_error
0.611218
relative_absolute_error
0.666226
relative_absolute_error
0.730956
relative_absolute_error
0.713288
relative_absolute_error
0.745495
relative_absolute_error
0.746941
relative_absolute_error
0.70932
relative_absolute_error
0.676192
relative_absolute_error
0.612009
relative_absolute_error
0.716377
relative_absolute_error
0.709924
relative_absolute_error
0.741782
relative_absolute_error
0.72122
relative_absolute_error
0.606416
relative_absolute_error
0.631175
relative_absolute_error
0.767101
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
0.38723
root_mean_squared_error
0.349047
root_mean_squared_error
0.401599
root_mean_squared_error
0.352296
root_mean_squared_error
0.408526
root_mean_squared_error
0.417114
root_mean_squared_error
0.377875
root_mean_squared_error
0.388755
root_mean_squared_error
0.438115
root_mean_squared_error
0.401763
root_mean_squared_error
0.420313
root_mean_squared_error
0.363472
root_mean_squared_error
0.362374
root_mean_squared_error
0.323002
root_mean_squared_error
0.436314
root_mean_squared_error
0.452021
root_mean_squared_error
0.42593
root_mean_squared_error
0.425471
root_mean_squared_error
0.380527
root_mean_squared_error
0.394044
root_mean_squared_error
0.376759
root_mean_squared_error
0.370673
root_mean_squared_error
0.369051
root_mean_squared_error
0.33167
root_mean_squared_error
0.438162
root_mean_squared_error
0.428147
root_mean_squared_error
0.39332
root_mean_squared_error
0.404387
root_mean_squared_error
0.351577
root_mean_squared_error
0.3707
root_mean_squared_error
0.38897
root_mean_squared_error
0.442339
root_mean_squared_error
0.382597
root_mean_squared_error
0.388394
root_mean_squared_error
0.397242
root_mean_squared_error
0.389567
root_mean_squared_error
0.37784
root_mean_squared_error
0.395816
root_mean_squared_error
0.379874
root_mean_squared_error
0.397356
root_mean_squared_error
0.385134
root_mean_squared_error
0.438661
root_mean_squared_error
0.3939
root_mean_squared_error
0.334359
root_mean_squared_error
0.398504
root_mean_squared_error
0.461441
root_mean_squared_error
0.36738
root_mean_squared_error
0.387382
root_mean_squared_error
0.40935
root_mean_squared_error
0.406658
root_mean_squared_error
0.443724
root_mean_squared_error
0.394429
root_mean_squared_error
0.380456
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