432883
2
Joaquin Vanschoren
1911
Supervised Classification
predictive_accuracy
1196
weka.RotationForest_PrincipalComponents_J48(14)
2064
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 40 -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
40
1196
W
weka.classifiers.trees.J48
1196
weka
weka_3.7.12
31
credit-g
https://www.openml.org/data/download/31/dataset_31_credit-g.arff
-1
1512690
description
https://api.openml.org/data/download/1512690/weka_generated_run655849991982548972.xml
-1
1512693
model_readable
https://api.openml.org/data/download/1512693/WekaModel_weka.classifiers.meta.RotationForest4512804703967606982.model
-1
1512692
model_serialized
https://api.openml.org/data/download/1512692/WekaSerialized_weka.classifiers.meta.RotationForest1066426406259332412.model
-1
1512691
predictions
https://api.openml.org/data/download/1512691/weka_generated_predictions4535067559027563423.arff
area_under_roc_curve
0.786414 [0.786414,0.786414]
average_cost
0
f_measure
0.743725 [0.8382,0.523283]
kappa
0.368729
kb_relative_information_score
2162.049308
mean_absolute_error
0.324668
mean_prior_absolute_error
0.42016
number_of_instances
10000 [7000,3000]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.744629 [0.788956,0.641199]
predictive_accuracy
0.7584
prior_entropy
0.881778
recall
0.7584 [0.894,0.442]
relative_absolute_error
0.772725
root_mean_prior_squared_error
0.458258
root_mean_squared_error
0.404266
root_relative_squared_error
0.88218
scimark_benchmark
922.61303 [557.8000386497777, 1009.6698621593916, 451.72140588223806, 837.2532624935978, 1756.6205822745662]
total_cost
0
usercpu_time_millis
6160
usercpu_time_millis_testing
1570
usercpu_time_millis_training
4590
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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
0.767143 [0.767143,0.767143]
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
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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
0.73 [0.73,0.73]
area_under_roc_curve
0.761429 [0.761429,0.761429]
area_under_roc_curve
0.816667 [0.816667,0.816667]
area_under_roc_curve
0.85 [0.85,0.85]
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
0.84381 [0.84381,0.84381]
area_under_roc_curve
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area_under_roc_curve
0.71619 [0.71619,0.71619]
area_under_roc_curve
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area_under_roc_curve
0.832381 [0.832381,0.832381]
area_under_roc_curve
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area_under_roc_curve
0.80381 [0.80381,0.80381]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.722857 [0.722857,0.722857]
area_under_roc_curve
0.791429 [0.791429,0.791429]
area_under_roc_curve
0.761905 [0.761905,0.761905]
area_under_roc_curve
0.839048 [0.839048,0.839048]
area_under_roc_curve
0.808571 [0.808571,0.808571]
area_under_roc_curve
0.768571 [0.768571,0.768571]
area_under_roc_curve
0.758571 [0.758571,0.758571]
area_under_roc_curve
0.780476 [0.780476,0.780476]
area_under_roc_curve
0.828571 [0.828571,0.828571]
area_under_roc_curve
0.817143 [0.817143,0.817143]
area_under_roc_curve
0.778095 [0.778095,0.778095]
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
0.757143 [0.757143,0.757143]
area_under_roc_curve
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f_measure
0.763511 [0.841379,0.581818]
f_measure
0.777813 [0.85906,0.588235]
f_measure
0.739474 [0.842105,0.5]
f_measure
0.742947 [0.827586,0.545455]
f_measure
0.786676 [0.853147,0.631579]
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
0.747963 [0.849673,0.510638]
f_measure
0.744 [0.84,0.52]
f_measure
0.682214 [0.810458,0.382979]
f_measure
0.792998 [0.863014,0.62963]
f_measure
0.734387 [0.844156,0.478261]
f_measure
0.751598 [0.835616,0.555556]
f_measure
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f_measure
0.781132 [0.857143,0.603774]
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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24.05019
kb_relative_information_score
16.56492
kb_relative_information_score
16.716986
kb_relative_information_score
15.549633
kb_relative_information_score
18.050856
kb_relative_information_score
23.699124
kb_relative_information_score
27.263491
kb_relative_information_score
20.679346
kb_relative_information_score
18.365196
kb_relative_information_score
25.454695
kb_relative_information_score
24.096938
kb_relative_information_score
26.70524
kb_relative_information_score
21.845501
kb_relative_information_score
21.938612
kb_relative_information_score
27.936757
kb_relative_information_score
22.895552
kb_relative_information_score
20.201963
kb_relative_information_score
18.669882
kb_relative_information_score
20.602539
kb_relative_information_score
17.191259
kb_relative_information_score
19.07226
kb_relative_information_score
25.740029
kb_relative_information_score
19.957763
kb_relative_information_score
25.845773
kb_relative_information_score
21.465883
kb_relative_information_score
19.816088
kb_relative_information_score
19.609651
kb_relative_information_score
28.52498
kb_relative_information_score
18.76849
kb_relative_information_score
20.473164
kb_relative_information_score
21.755795
kb_relative_information_score
19.75721
kb_relative_information_score
22.453627
kb_relative_information_score
29.746299
kb_relative_information_score
18.912029
kb_relative_information_score
19.064139
kb_relative_information_score
24.053571
kb_relative_information_score
16.299888
kb_relative_information_score
15.121422
kb_relative_information_score
17.594374
kb_relative_information_score
20.495471
kb_relative_information_score
29.220429
kb_relative_information_score
12.844107
kb_relative_information_score
28.063063
kb_relative_information_score
19.523534
kb_relative_information_score
31.873299
kb_relative_information_score
14.876781
kb_relative_information_score
20.271111
kb_relative_information_score
16.66525
kb_relative_information_score
20.812209
kb_relative_information_score
33.001929
kb_relative_information_score
16.024467
kb_relative_information_score
30.933886
kb_relative_information_score
20.408931
kb_relative_information_score
11.979383
kb_relative_information_score
20.012697
kb_relative_information_score
27.699215
kb_relative_information_score
21.534494
kb_relative_information_score
26.325787
kb_relative_information_score
26.426376
kb_relative_information_score
19.845227
kb_relative_information_score
19.115896
kb_relative_information_score
19.185719
kb_relative_information_score
18.5454
kb_relative_information_score
25.259915
kb_relative_information_score
22.806172
kb_relative_information_score
20.326373
kb_relative_information_score
19.168358
kb_relative_information_score
22.754131
kb_relative_information_score
25.401795
kb_relative_information_score
24.069319
kb_relative_information_score
19.135707
kb_relative_information_score
15.652382
kb_relative_information_score
12.97889
kb_relative_information_score
28.03671
kb_relative_information_score
20.167389
kb_relative_information_score
24.56229
mean_absolute_error
0.314547
mean_absolute_error
0.313246
mean_absolute_error
0.335186
mean_absolute_error
0.339638
mean_absolute_error
0.301074
mean_absolute_error
0.323532
mean_absolute_error
0.307341
mean_absolute_error
0.31828
mean_absolute_error
0.363437
mean_absolute_error
0.339571
mean_absolute_error
0.328034
mean_absolute_error
0.301877
mean_absolute_error
0.312071
mean_absolute_error
0.342514
mean_absolute_error
0.321439
mean_absolute_error
0.316779
mean_absolute_error
0.328894
mean_absolute_error
0.3038
mean_absolute_error
0.310086
mean_absolute_error
0.342849
mean_absolute_error
0.326075
mean_absolute_error
0.330998
mean_absolute_error
0.325401
mean_absolute_error
0.316577
mean_absolute_error
0.339829
mean_absolute_error
0.340105
mean_absolute_error
0.344949
mean_absolute_error
0.331544
mean_absolute_error
0.317465
mean_absolute_error
0.30813
mean_absolute_error
0.327173
mean_absolute_error
0.338816
mean_absolute_error
0.313395
mean_absolute_error
0.315329
mean_absolute_error
0.304806
mean_absolute_error
0.323678
mean_absolute_error
0.325064
mean_absolute_error
0.304566
mean_absolute_error
0.319735
mean_absolute_error
0.327294
mean_absolute_error
0.337876
mean_absolute_error
0.334071
mean_absolute_error
0.339888
mean_absolute_error
0.330896
mean_absolute_error
0.313311
mean_absolute_error
0.334364
mean_absolute_error
0.310421
mean_absolute_error
0.327362
mean_absolute_error
0.335179
mean_absolute_error
0.333257
mean_absolute_error
0.296355
mean_absolute_error
0.335647
mean_absolute_error
0.329762
mean_absolute_error
0.324437
mean_absolute_error
0.329743
mean_absolute_error
0.323221
mean_absolute_error
0.294751
mean_absolute_error
0.330711
mean_absolute_error
0.329877
mean_absolute_error
0.312559
mean_absolute_error
0.33585
mean_absolute_error
0.344091
mean_absolute_error
0.335108
mean_absolute_error
0.328915
mean_absolute_error
0.303793
mean_absolute_error
0.350766
mean_absolute_error
0.304826
mean_absolute_error
0.333804
mean_absolute_error
0.288983
mean_absolute_error
0.352391
mean_absolute_error
0.331396
mean_absolute_error
0.3357
mean_absolute_error
0.328271
mean_absolute_error
0.28723
mean_absolute_error
0.344429
mean_absolute_error
0.292996
mean_absolute_error
0.333269
mean_absolute_error
0.358879
mean_absolute_error
0.32817
mean_absolute_error
0.301769
mean_absolute_error
0.327971
mean_absolute_error
0.310084
mean_absolute_error
0.312818
mean_absolute_error
0.32558
mean_absolute_error
0.328959
mean_absolute_error
0.334005
mean_absolute_error
0.333337
mean_absolute_error
0.310369
mean_absolute_error
0.32074
mean_absolute_error
0.330837
mean_absolute_error
0.333488
mean_absolute_error
0.317795
mean_absolute_error
0.318488
mean_absolute_error
0.315055
mean_absolute_error
0.336904
mean_absolute_error
0.344458
mean_absolute_error
0.354271
mean_absolute_error
0.301957
mean_absolute_error
0.329504
mean_absolute_error
0.310716
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
precision
0.761333 [0.813333,0.64]
precision
0.781374 [0.810127,0.714286]
precision
0.746341 [0.780488,0.666667]
precision
0.74 [0.8,0.6]
precision
0.784932 [0.835616,0.666667]
precision
0.749342 [0.802632,0.625]
precision
0.786038 [0.795181,0.764706]
precision
0.823864 [0.784091,0.916667]
precision
0.636192 [0.728395,0.421053]
precision
0.733877 [0.771084,0.647059]
precision
0.720833 [0.761905,0.625]
precision
0.759957 [0.783133,0.705882]
precision
0.74625 [0.7875,0.65]
precision
0.681715 [0.746988,0.529412]
precision
0.792763 [0.828947,0.708333]
precision
0.747917 [0.77381,0.6875]
precision
0.749342 [0.802632,0.625]
precision
0.802083 [0.797619,0.8125]
precision
0.781423 [0.818182,0.695652]
precision
0.71502 [0.779221,0.565217]
precision
0.74625 [0.7875,0.65]
precision
0.747319 [0.794872,0.636364]
precision
0.74 [0.8,0.6]
precision
0.781374 [0.810127,0.714286]
precision
0.707796 [0.759036,0.588235]
precision
0.697333 [0.773333,0.52]
precision
0.764231 [0.821918,0.62963]
precision
0.665642 [0.746835,0.47619]
precision
0.775 [0.785714,0.75]
precision
0.792763 [0.828947,0.708333]
precision
0.77619 [0.833333,0.642857]
precision
0.735081 [0.78481,0.619048]
precision
0.733918 [0.777778,0.631579]
precision
0.761333 [0.813333,0.64]
precision
0.796748 [0.804878,0.777778]
precision
0.711935 [0.772152,0.571429]
precision
0.743531 [0.808219,0.592593]
precision
0.792541 [0.820513,0.727273]
precision
0.771545 [0.792683,0.722222]
precision
0.75835 [0.790123,0.684211]
precision
0.75835 [0.790123,0.684211]
precision
0.781374 [0.810127,0.714286]
precision
0.75835 [0.790123,0.684211]
precision
0.781374 [0.810127,0.714286]
precision
0.77619 [0.833333,0.642857]
precision
0.74625 [0.7875,0.65]
precision
0.780286 [0.764045,0.818182]
precision
0.75835 [0.790123,0.684211]
precision
0.75835 [0.790123,0.684211]
precision
0.75835 [0.790123,0.684211]
precision
0.759957 [0.783133,0.705882]
precision
0.759289 [0.805195,0.652174]
precision
0.7225 [0.775,0.6]
precision
0.707059 [0.752941,0.6]
precision
0.711935 [0.772152,0.571429]
precision
0.7225 [0.775,0.6]
precision
0.802083 [0.797619,0.8125]
precision
0.7225 [0.775,0.6]
precision
0.702131 [0.780822,0.518519]
precision
0.733918 [0.777778,0.631579]
precision
0.727489 [0.802817,0.551724]
precision
0.692885 [0.766234,0.521739]
precision
0.695935 [0.756098,0.555556]
precision
0.735081 [0.78481,0.619048]
precision
0.786038 [0.795181,0.764706]
precision
0.727489 [0.802817,0.551724]
precision
0.807212 [0.814815,0.789474]
precision
0.711935 [0.772152,0.571429]
precision
0.784932 [0.835616,0.666667]
precision
0.735294 [0.764706,0.666667]
precision
0.721138 [0.768293,0.611111]
precision
0.735081 [0.78481,0.619048]
precision
0.724709 [0.782051,0.590909]
precision
0.814474 [0.842105,0.75]
precision
0.684211 [0.763158,0.5]
precision
0.782667 [0.826667,0.68]
precision
0.796627 [0.847222,0.678571]
precision
0.675 [0.75,0.5]
precision
0.697333 [0.773333,0.52]
precision
0.792541 [0.820513,0.727273]
precision
0.725 [0.75,0.666667]
precision
0.782781 [0.802469,0.736842]
precision
0.771545 [0.792683,0.722222]
precision
0.670732 [0.743902,0.5]
precision
0.735081 [0.78481,0.619048]
precision
0.75835 [0.790123,0.684211]
precision
0.7225 [0.775,0.6]
precision
0.773181 [0.824324,0.653846]
precision
0.781063 [0.77907,0.785714]
precision
0.767897 [0.830986,0.62069]
precision
0.75835 [0.790123,0.684211]
precision
0.731111 [0.744444,0.7]
precision
0.803557 [0.831169,0.73913]
precision
0.747917 [0.77381,0.6875]
precision
0.75835 [0.790123,0.684211]
precision
0.679487 [0.75641,0.5]
precision
0.656876 [0.74359,0.454545]
precision
0.804521 [0.822785,0.761905]
precision
0.69875 [0.7625,0.55]
precision
0.711935 [0.772152,0.571429]
predictive_accuracy
0.77
predictive_accuracy
0.79
predictive_accuracy
0.76
predictive_accuracy
0.75
predictive_accuracy
0.79
predictive_accuracy
0.76
predictive_accuracy
0.79
predictive_accuracy
0.8
predictive_accuracy
0.67
predictive_accuracy
0.75
predictive_accuracy
0.74
predictive_accuracy
0.77
predictive_accuracy
0.76
predictive_accuracy
0.71
predictive_accuracy
0.8
predictive_accuracy
0.76
predictive_accuracy
0.76
predictive_accuracy
0.8
predictive_accuracy
0.79
predictive_accuracy
0.73
predictive_accuracy
0.76
predictive_accuracy
0.76
predictive_accuracy
0.75
predictive_accuracy
0.79
predictive_accuracy
0.73
predictive_accuracy
0.71
predictive_accuracy
0.77
predictive_accuracy
0.69
predictive_accuracy
0.78
predictive_accuracy
0.8
predictive_accuracy
0.78
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.77
predictive_accuracy
0.8
predictive_accuracy
0.73
predictive_accuracy
0.75
predictive_accuracy
0.8
predictive_accuracy
0.78
predictive_accuracy
0.77
predictive_accuracy
0.77
predictive_accuracy
0.79
predictive_accuracy
0.77
predictive_accuracy
0.79
predictive_accuracy
0.78
predictive_accuracy
0.76
predictive_accuracy
0.77
predictive_accuracy
0.77
predictive_accuracy
0.77
predictive_accuracy
0.77
predictive_accuracy
0.77
predictive_accuracy
0.77
predictive_accuracy
0.74
predictive_accuracy
0.73
predictive_accuracy
0.73
predictive_accuracy
0.74
predictive_accuracy
0.8
predictive_accuracy
0.74
predictive_accuracy
0.71
predictive_accuracy
0.75
predictive_accuracy
0.73
predictive_accuracy
0.71
predictive_accuracy
0.72
predictive_accuracy
0.75
predictive_accuracy
0.79
predictive_accuracy
0.73
predictive_accuracy
0.81
predictive_accuracy
0.73
predictive_accuracy
0.79
predictive_accuracy
0.75
predictive_accuracy
0.74
predictive_accuracy
0.75
predictive_accuracy
0.74
predictive_accuracy
0.82
predictive_accuracy
0.7
predictive_accuracy
0.79
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.71
predictive_accuracy
0.8
predictive_accuracy
0.74
predictive_accuracy
0.79
predictive_accuracy
0.78
predictive_accuracy
0.7
predictive_accuracy
0.75
predictive_accuracy
0.77
predictive_accuracy
0.74
predictive_accuracy
0.78
predictive_accuracy
0.78
predictive_accuracy
0.77
predictive_accuracy
0.77
predictive_accuracy
0.74
predictive_accuracy
0.81
predictive_accuracy
0.76
predictive_accuracy
0.77
predictive_accuracy
0.7
predictive_accuracy
0.68
predictive_accuracy
0.81
predictive_accuracy
0.72
predictive_accuracy
0.73
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
recall
0.77 [0.871429,0.533333]
recall
0.79 [0.914286,0.5]
recall
0.76 [0.914286,0.4]
recall
0.75 [0.857143,0.5]
recall
0.79 [0.871429,0.6]
recall
0.76 [0.871429,0.5]
recall
0.79 [0.942857,0.433333]
recall
0.8 [0.985714,0.366667]
recall
0.67 [0.842857,0.266667]
recall
0.75 [0.914286,0.366667]
recall
0.74 [0.914286,0.333333]
recall
0.77 [0.928571,0.4]
recall
0.76 [0.9,0.433333]
recall
0.71 [0.885714,0.3]
recall
0.8 [0.9,0.566667]
recall
0.76 [0.928571,0.366667]
recall
0.76 [0.871429,0.5]
recall
0.8 [0.957143,0.433333]
recall
0.79 [0.9,0.533333]
recall
0.73 [0.857143,0.433333]
recall
0.76 [0.9,0.433333]
recall
0.76 [0.885714,0.466667]
recall
0.75 [0.857143,0.5]
recall
0.79 [0.914286,0.5]
recall
0.73 [0.9,0.333333]
recall
0.71 [0.828571,0.433333]
recall
0.77 [0.857143,0.566667]
recall
0.69 [0.842857,0.333333]
recall
0.78 [0.942857,0.4]
recall
0.8 [0.9,0.566667]
recall
0.78 [0.857143,0.6]
recall
0.75 [0.885714,0.433333]
recall
0.75 [0.9,0.4]
recall
0.77 [0.871429,0.533333]
recall
0.8 [0.942857,0.466667]
recall
0.73 [0.871429,0.4]
recall
0.75 [0.842857,0.533333]
recall
0.8 [0.914286,0.533333]
recall
0.78 [0.928571,0.433333]
recall
0.77 [0.914286,0.433333]
recall
0.77 [0.914286,0.433333]
recall
0.79 [0.914286,0.5]
recall
0.77 [0.914286,0.433333]
recall
0.79 [0.914286,0.5]
recall
0.78 [0.857143,0.6]
recall
0.76 [0.9,0.433333]
recall
0.77 [0.971429,0.3]
recall
0.77 [0.914286,0.433333]
recall
0.77 [0.914286,0.433333]
recall
0.77 [0.914286,0.433333]
recall
0.77 [0.928571,0.4]
recall
0.77 [0.885714,0.5]
recall
0.74 [0.885714,0.4]
recall
0.73 [0.914286,0.3]
recall
0.73 [0.871429,0.4]
recall
0.74 [0.885714,0.4]
recall
0.8 [0.957143,0.433333]
recall
0.74 [0.885714,0.4]
recall
0.71 [0.814286,0.466667]
recall
0.75 [0.9,0.4]
recall
0.73 [0.814286,0.533333]
recall
0.71 [0.842857,0.4]
recall
0.72 [0.885714,0.333333]
recall
0.75 [0.885714,0.433333]
recall
0.79 [0.942857,0.433333]
recall
0.73 [0.814286,0.533333]
recall
0.81 [0.942857,0.5]
recall
0.73 [0.871429,0.4]
recall
0.79 [0.871429,0.6]
recall
0.75 [0.928571,0.333333]
recall
0.74 [0.9,0.366667]
recall
0.75 [0.885714,0.433333]
recall
0.74 [0.871429,0.433333]
recall
0.82 [0.914286,0.6]
recall
0.7 [0.828571,0.4]
recall
0.79 [0.885714,0.566667]
recall
0.8 [0.871429,0.633333]
recall
0.7 [0.857143,0.333333]
recall
0.71 [0.828571,0.433333]
recall
0.8 [0.914286,0.533333]
recall
0.74 [0.942857,0.266667]
recall
0.79 [0.928571,0.466667]
recall
0.78 [0.928571,0.433333]
recall
0.7 [0.871429,0.3]
recall
0.75 [0.885714,0.433333]
recall
0.77 [0.914286,0.433333]
recall
0.74 [0.885714,0.4]
recall
0.78 [0.871429,0.566667]
recall
0.78 [0.957143,0.366667]
recall
0.77 [0.842857,0.6]
recall
0.77 [0.914286,0.433333]
recall
0.74 [0.957143,0.233333]
recall
0.81 [0.914286,0.566667]
recall
0.76 [0.928571,0.366667]
recall
0.77 [0.914286,0.433333]
recall
0.7 [0.842857,0.366667]
recall
0.68 [0.828571,0.333333]
recall
0.81 [0.928571,0.533333]
recall
0.72 [0.871429,0.366667]
recall
0.73 [0.871429,0.4]
relative_absolute_error
0.748637
relative_absolute_error
0.745541
relative_absolute_error
0.79776
relative_absolute_error
0.808355
relative_absolute_error
0.71657
relative_absolute_error
0.770022
relative_absolute_error
0.731486
relative_absolute_error
0.757522
relative_absolute_error
0.864997
relative_absolute_error
0.808195
relative_absolute_error
0.780737
relative_absolute_error
0.718482
relative_absolute_error
0.742745
relative_absolute_error
0.8152
relative_absolute_error
0.765041
relative_absolute_error
0.75395
relative_absolute_error
0.782782
relative_absolute_error
0.723058
relative_absolute_error
0.738018
relative_absolute_error
0.815997
relative_absolute_error
0.776074
relative_absolute_error
0.78779
relative_absolute_error
0.77447
relative_absolute_error
0.753469
relative_absolute_error
0.808809
relative_absolute_error
0.809467
relative_absolute_error
0.820995
relative_absolute_error
0.789091
relative_absolute_error
0.755582
relative_absolute_error
0.733364
relative_absolute_error
0.778687
relative_absolute_error
0.806399
relative_absolute_error
0.745896
relative_absolute_error
0.750498
relative_absolute_error
0.725453
relative_absolute_error
0.77037
relative_absolute_error
0.773668
relative_absolute_error
0.724882
relative_absolute_error
0.760985
relative_absolute_error
0.778974
relative_absolute_error
0.804162
relative_absolute_error
0.795105
relative_absolute_error
0.808949
relative_absolute_error
0.787548
relative_absolute_error
0.745694
relative_absolute_error
0.795802
relative_absolute_error
0.738816
relative_absolute_error
0.779138
relative_absolute_error
0.797741
relative_absolute_error
0.793167
relative_absolute_error
0.705338
relative_absolute_error
0.798855
relative_absolute_error
0.784848
relative_absolute_error
0.772175
relative_absolute_error
0.784804
relative_absolute_error
0.769281
relative_absolute_error
0.701522
relative_absolute_error
0.787107
relative_absolute_error
0.785122
relative_absolute_error
0.743905
relative_absolute_error
0.79934
relative_absolute_error
0.818953
relative_absolute_error
0.797574
relative_absolute_error
0.782834
relative_absolute_error
0.723042
relative_absolute_error
0.834839
relative_absolute_error
0.725501
relative_absolute_error
0.79447
relative_absolute_error
0.687792
relative_absolute_error
0.838707
relative_absolute_error
0.788737
relative_absolute_error
0.798981
relative_absolute_error
0.781301
relative_absolute_error
0.683622
relative_absolute_error
0.819756
relative_absolute_error
0.697345
relative_absolute_error
0.793197
relative_absolute_error
0.854148
relative_absolute_error
0.78106
relative_absolute_error
0.718224
relative_absolute_error
0.780585
relative_absolute_error
0.738015
relative_absolute_error
0.744523
relative_absolute_error
0.774895
relative_absolute_error
0.782938
relative_absolute_error
0.794948
relative_absolute_error
0.793358
relative_absolute_error
0.738694
relative_absolute_error
0.763376
relative_absolute_error
0.787407
relative_absolute_error
0.793717
relative_absolute_error
0.756366
relative_absolute_error
0.758016
relative_absolute_error
0.749845
relative_absolute_error
0.801846
relative_absolute_error
0.819825
relative_absolute_error
0.843182
relative_absolute_error
0.718672
relative_absolute_error
0.784234
relative_absolute_error
0.739519
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_squared_error
0.386521
root_mean_squared_error
0.396956
root_mean_squared_error
0.416697
root_mean_squared_error
0.413819
root_mean_squared_error
0.372275
root_mean_squared_error
0.395532
root_mean_squared_error
0.387976
root_mean_squared_error
0.377258
root_mean_squared_error
0.451458
root_mean_squared_error
0.407646
root_mean_squared_error
0.418976
root_mean_squared_error
0.381894
root_mean_squared_error
0.404967
root_mean_squared_error
0.42519
root_mean_squared_error
0.38366
root_mean_squared_error
0.397841
root_mean_squared_error
0.402891
root_mean_squared_error
0.380371
root_mean_squared_error
0.380171
root_mean_squared_error
0.425362
root_mean_squared_error
0.412849
root_mean_squared_error
0.412095
root_mean_squared_error
0.415246
root_mean_squared_error
0.395459
root_mean_squared_error
0.428082
root_mean_squared_error
0.421879
root_mean_squared_error
0.414704
root_mean_squared_error
0.418678
root_mean_squared_error
0.400268
root_mean_squared_error
0.387369
root_mean_squared_error
0.400117
root_mean_squared_error
0.410065
root_mean_squared_error
0.389225
root_mean_squared_error
0.390792
root_mean_squared_error
0.389661
root_mean_squared_error
0.401196
root_mean_squared_error
0.401514
root_mean_squared_error
0.377376
root_mean_squared_error
0.404811
root_mean_squared_error
0.410255
root_mean_squared_error
0.40547
root_mean_squared_error
0.403532
root_mean_squared_error
0.420381
root_mean_squared_error
0.420313
root_mean_squared_error
0.392827
root_mean_squared_error
0.411569
root_mean_squared_error
0.398796
root_mean_squared_error
0.394133
root_mean_squared_error
0.426562
root_mean_squared_error
0.406801
root_mean_squared_error
0.387005
root_mean_squared_error
0.408932
root_mean_squared_error
0.404937
root_mean_squared_error
0.401381
root_mean_squared_error
0.410058
root_mean_squared_error
0.406172
root_mean_squared_error
0.385855
root_mean_squared_error
0.422437
root_mean_squared_error
0.41956
root_mean_squared_error
0.402857
root_mean_squared_error
0.420027
root_mean_squared_error
0.427022
root_mean_squared_error
0.411889
root_mean_squared_error
0.400977
root_mean_squared_error
0.378219
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