212179
2
Joaquin Vanschoren
4291
Supervised Classification
predictive_accuracy
1185
weka.Bagging_REPTree(8)
2032
weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 10 -W weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0
M
2
1077
V
0.001
1077
N
3
1077
S
1
1077
L
-1
1077
I
0.0
1077
P
100
1185
S
1
1185
num-slots
1
1185
I
10
1185
W
weka.classifiers.trees.REPTree
1185
weka
weka_3.7.12
720
abalone
https://www.openml.org/data/download/53254/abalone.arff
-1
705994
description
https://api.openml.org/data/download/705994/weka_generated_run165230385742894420.xml
-1
705997
model_readable
https://api.openml.org/data/download/705997/WekaModel_weka.classifiers.meta.Bagging7947269012616393093.model
-1
705996
model_serialized
https://api.openml.org/data/download/705996/WekaSerialized_weka.classifiers.meta.Bagging3103789449246261723.model
-1
705995
predictions
https://api.openml.org/data/download/705995/weka_generated_predictions8677572119406443676.arff
area_under_roc_curve
0.868908 [0.868908,0.868908]
average_cost
0
f_measure
0.784542 [0.780575,0.788538]
kappa
0.569323
kb_relative_information_score
19401.260885
mean_absolute_error
0.279624
mean_prior_absolute_error
0.499994
number_of_instances
41770 [20960,20810]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.78522 [0.798533,0.771811]
predictive_accuracy
0.78463
prior_entropy
0.999991
recall
0.78463 [0.763406,0.806007]
relative_absolute_error
0.559256
root_mean_prior_squared_error
0.499997
root_mean_squared_error
0.383907
root_relative_squared_error
0.767818
scimark_benchmark
940.000843 [555.3137924208822, 1007.5581615570936, 482.36378704342826, 907.7008274280431, 1747.0676455404612]
total_cost
0
usercpu_time_millis
350
usercpu_time_millis_testing
20
usercpu_time_millis_training
330
area_under_roc_curve
0.888796 [0.888796,0.888796]
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0.865831 [0.865831,0.865831]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.85704 [0.85704,0.85704]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.875641 [0.875641,0.875641]
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
0.873947 [0.873947,0.873947]
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
0.863462 [0.863462,0.863462]
area_under_roc_curve
0.8538 [0.8538,0.8538]
area_under_roc_curve
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area_under_roc_curve
0.876946 [0.876946,0.876946]
area_under_roc_curve
0.873592 [0.873592,0.873592]
area_under_roc_curve
0.871852 [0.871852,0.871852]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.856376 [0.856376,0.856376]
area_under_roc_curve
0.859478 [0.859478,0.859478]
area_under_roc_curve
0.86416 [0.86416,0.86416]
area_under_roc_curve
0.877141 [0.877141,0.877141]
area_under_roc_curve
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area_under_roc_curve
0.884123 [0.884123,0.884123]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.864389 [0.864389,0.864389]
area_under_roc_curve
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area_under_roc_curve
0.859043 [0.859043,0.859043]
area_under_roc_curve
0.874934 [0.874934,0.874934]
area_under_roc_curve
0.890991 [0.890991,0.890991]
area_under_roc_curve
0.85868 [0.85868,0.85868]
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
0.870031 [0.870031,0.870031]
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
0.861014 [0.861014,0.861014]
area_under_roc_curve
0.858231 [0.858231,0.858231]
area_under_roc_curve
0.877277 [0.877277,0.877277]
area_under_roc_curve
0.853653 [0.853653,0.853653]
area_under_roc_curve
0.850191 [0.850191,0.850191]
area_under_roc_curve
0.887974 [0.887974,0.887974]
area_under_roc_curve
0.836136 [0.836136,0.836136]
area_under_roc_curve
0.845981 [0.845981,0.845981]
area_under_roc_curve
0.870802 [0.870802,0.870802]
area_under_roc_curve
0.836032 [0.836032,0.836032]
area_under_roc_curve
0.876254 [0.876254,0.876254]
area_under_roc_curve
0.887042 [0.887042,0.887042]
area_under_roc_curve
0.899061 [0.899061,0.899061]
area_under_roc_curve
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area_under_roc_curve
0.880958 [0.880958,0.880958]
area_under_roc_curve
0.864418 [0.864418,0.864418]
area_under_roc_curve
0.860002 [0.860002,0.860002]
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f_measure
0.803378 [0.79397,0.812785]
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
224.293648
kb_relative_information_score
192.131213
kb_relative_information_score
196.205511
kb_relative_information_score
196.936417
kb_relative_information_score
193.346685
kb_relative_information_score
167.347498
kb_relative_information_score
211.363066
kb_relative_information_score
183.558124
kb_relative_information_score
203.108811
kb_relative_information_score
192.083061
kb_relative_information_score
180.257441
kb_relative_information_score
181.575831
kb_relative_information_score
208.87071
kb_relative_information_score
171.705534
kb_relative_information_score
195.090607
kb_relative_information_score
187.427225
kb_relative_information_score
177.996703
kb_relative_information_score
184.910746
kb_relative_information_score
178.09058
kb_relative_information_score
200.488302
kb_relative_information_score
183.852825
kb_relative_information_score
187.100552
kb_relative_information_score
211.46852
kb_relative_information_score
188.018866
kb_relative_information_score
186.61385
kb_relative_information_score
188.307353
kb_relative_information_score
198.168219
kb_relative_information_score
191.597101
kb_relative_information_score
197.565854
kb_relative_information_score
215.223028
kb_relative_information_score
185.39039
kb_relative_information_score
188.148366
kb_relative_information_score
193.956357
kb_relative_information_score
203.731993
kb_relative_information_score
196.791863
kb_relative_information_score
203.003412
kb_relative_information_score
198.131703
kb_relative_information_score
201.948187
kb_relative_information_score
192.922005
kb_relative_information_score
189.636118
kb_relative_information_score
186.084111
kb_relative_information_score
191.675318
kb_relative_information_score
211.106885
kb_relative_information_score
191.493666
kb_relative_information_score
206.002765
kb_relative_information_score
203.848393
kb_relative_information_score
190.887657
kb_relative_information_score
192.661295
kb_relative_information_score
192.344485
kb_relative_information_score
193.054106
kb_relative_information_score
204.507409
kb_relative_information_score
183.128648
kb_relative_information_score
201.130684
kb_relative_information_score
189.208497
kb_relative_information_score
191.072082
kb_relative_information_score
189.581924
kb_relative_information_score
190.699981
kb_relative_information_score
203.174299
kb_relative_information_score
201.365907
kb_relative_information_score
198.806027
kb_relative_information_score
211.061287
kb_relative_information_score
207.560966
kb_relative_information_score
191.782918
kb_relative_information_score
185.017938
kb_relative_information_score
190.375363
kb_relative_information_score
194.890455
kb_relative_information_score
180.41122
kb_relative_information_score
182.236844
kb_relative_information_score
200.49545
kb_relative_information_score
173.239928
kb_relative_information_score
184.855445
kb_relative_information_score
195.740804
kb_relative_information_score
178.238189
kb_relative_information_score
198.335686
kb_relative_information_score
207.985426
kb_relative_information_score
218.549336
kb_relative_information_score
195.516192
kb_relative_information_score
198.88143
kb_relative_information_score
190.260371
kb_relative_information_score
192.002932
mean_absolute_error
0.268071
mean_absolute_error
0.27599
mean_absolute_error
0.290781
mean_absolute_error
0.278853
mean_absolute_error
0.281875
mean_absolute_error
0.281568
mean_absolute_error
0.273485
mean_absolute_error
0.274975
mean_absolute_error
0.274544
mean_absolute_error
0.268173
mean_absolute_error
0.288784
mean_absolute_error
0.268631
mean_absolute_error
0.304978
mean_absolute_error
0.253073
mean_absolute_error
0.292167
mean_absolute_error
0.283829
mean_absolute_error
0.269556
mean_absolute_error
0.291341
mean_absolute_error
0.286778
mean_absolute_error
0.287475
mean_absolute_error
0.245849
mean_absolute_error
0.282591
mean_absolute_error
0.277392
mean_absolute_error
0.275693
mean_absolute_error
0.281341
mean_absolute_error
0.309921
mean_absolute_error
0.258986
mean_absolute_error
0.292698
mean_absolute_error
0.2689
mean_absolute_error
0.280927
mean_absolute_error
0.294731
mean_absolute_error
0.293791
mean_absolute_error
0.263782
mean_absolute_error
0.302878
mean_absolute_error
0.278064
mean_absolute_error
0.287591
mean_absolute_error
0.296935
mean_absolute_error
0.288784
mean_absolute_error
0.298015
mean_absolute_error
0.272007
mean_absolute_error
0.292596
mean_absolute_error
0.286724
mean_absolute_error
0.25949
mean_absolute_error
0.287703
mean_absolute_error
0.287193
mean_absolute_error
0.284681
mean_absolute_error
0.275605
mean_absolute_error
0.284994
mean_absolute_error
0.276495
mean_absolute_error
0.254634
mean_absolute_error
0.287839
mean_absolute_error
0.287435
mean_absolute_error
0.280112
mean_absolute_error
0.268886
mean_absolute_error
0.275926
mean_absolute_error
0.269633
mean_absolute_error
0.276551
mean_absolute_error
0.270949
mean_absolute_error
0.280965
mean_absolute_error
0.286007
mean_absolute_error
0.288744
mean_absolute_error
0.282809
mean_absolute_error
0.261307
mean_absolute_error
0.283159
mean_absolute_error
0.265382
mean_absolute_error
0.268468
mean_absolute_error
0.283589
mean_absolute_error
0.280351
mean_absolute_error
0.281319
mean_absolute_error
0.280684
mean_absolute_error
0.265367
mean_absolute_error
0.291714
mean_absolute_error
0.272225
mean_absolute_error
0.285303
mean_absolute_error
0.284124
mean_absolute_error
0.286057
mean_absolute_error
0.284861
mean_absolute_error
0.26905
mean_absolute_error
0.271291
mean_absolute_error
0.272841
mean_absolute_error
0.259374
mean_absolute_error
0.263541
mean_absolute_error
0.281062
mean_absolute_error
0.2906
mean_absolute_error
0.282749
mean_absolute_error
0.278388
mean_absolute_error
0.294388
mean_absolute_error
0.291246
mean_absolute_error
0.271342
mean_absolute_error
0.302399
mean_absolute_error
0.289782
mean_absolute_error
0.277141
mean_absolute_error
0.295936
mean_absolute_error
0.274111
mean_absolute_error
0.2637
mean_absolute_error
0.250579
mean_absolute_error
0.276877
mean_absolute_error
0.274626
mean_absolute_error
0.283776
mean_absolute_error
0.281875
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499991
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
mean_prior_absolute_error
0.499996
number_of_instances
418 [209,209]
number_of_instances
418 [210,208]
number_of_instances
418 [209,209]
number_of_instances
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418 [210,208]
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number_of_instances
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number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
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418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [209,209]
number_of_instances
418 [210,208]
number_of_instances
418 [209,209]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
418 [209,209]
number_of_instances
418 [210,208]
number_of_instances
418 [210,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
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417 [209,208]
number_of_instances
417 [209,208]
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417 [209,208]
number_of_instances
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417 [209,208]
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417 [209,208]
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number_of_instances
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number_of_instances
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number_of_instances
417 [209,208]
precision
0.806636 [0.835979,0.777293]
precision
0.782483 [0.790244,0.774648]
precision
0.786816 [0.811518,0.762115]
precision
0.801631 [0.809756,0.793427]
precision
0.796978 [0.825397,0.768559]
precision
0.800391 [0.820513,0.780269]
precision
0.773034 [0.782178,0.763889]
precision
0.790489 [0.808081,0.772727]
precision
0.784793 [0.790244,0.779343]
precision
0.799123 [0.826316,0.77193]
precision
0.763336 [0.770732,0.755869]
precision
0.797863 [0.817259,0.778281]
precision
0.761013 [0.769608,0.752336]
precision
0.8495 [0.858537,0.840376]
precision
0.768745 [0.78392,0.753425]
precision
0.777696 [0.785366,0.769953]
precision
0.796698 [0.793427,0.8]
precision
0.76811 [0.794737,0.741228]
precision
0.793455 [0.827957,0.758621]
precision
0.771627 [0.790816,0.752252]
precision
0.82151 [0.839196,0.803653]
precision
0.787093 [0.789474,0.784689]
precision
0.784774 [0.780374,0.789216]
precision
0.787438 [0.79803,0.776744]
precision
0.784261 [0.80829,0.76]
precision
0.741862 [0.75,0.733645]
precision
0.797526 [0.81407,0.780822]
precision
0.775241 [0.781553,0.768868]
precision
0.801631 [0.809756,0.793427]
precision
0.780355 [0.792079,0.768519]
precision
0.773353 [0.812155,0.734177]
precision
0.759448 [0.77665,0.742081]
precision
0.812679 [0.835897,0.789238]
precision
0.73494 [0.746269,0.723502]
precision
0.777267 [0.802083,0.752212]
precision
0.774217 [0.794872,0.753363]
precision
0.75161 [0.762376,0.740741]
precision
0.759152 [0.773869,0.744292]
precision
0.774071 [0.806452,0.741379]
precision
0.780165 [0.789216,0.771028]
precision
0.782483 [0.790244,0.774648]
precision
0.763598 [0.753425,0.773869]
precision
0.820963 [0.832512,0.809302]
precision
0.787155 [0.792271,0.781991]
precision
0.758443 [0.763285,0.753555]
precision
0.758457 [0.784211,0.732456]
precision
0.799775 [0.815,0.784404]
precision
0.803828 [0.804762,0.802885]
precision
0.793448 [0.815385,0.7713]
precision
0.818682 [0.831683,0.805556]
precision
0.758903 [0.771144,0.746544]
precision
0.787438 [0.79803,0.776744]
precision
0.776091 [0.792929,0.759091]
precision
0.813677 [0.842932,0.784141]
precision
0.784261 [0.80829,0.76]
precision
0.788259 [0.807107,0.769231]
precision
0.806595 [0.817734,0.795349]
precision
0.793448 [0.815385,0.7713]
precision
0.789937 [0.80198,0.777778]
precision
0.79389 [0.818653,0.768889]
precision
0.775241 [0.781553,0.768868]
precision
0.791873 [0.793269,0.790476]
precision
0.818616 [0.807339,0.83]
precision
0.784177 [0.807292,0.761062]
precision
0.813397 [0.814286,0.8125]
precision
0.796951 [0.788018,0.80597]
precision
0.779025 [0.8,0.757848]
precision
0.770732 [0.781095,0.760369]
precision
0.785689 [0.80303,0.768182]
precision
0.772768 [0.769953,0.77561]
precision
0.7917 [0.820106,0.763158]
precision
0.782515 [0.822222,0.742616]
precision
0.798822 [0.807882,0.78972]
precision
0.772714 [0.785,0.760369]
precision
0.784611 [0.79602,0.773148]
precision
0.799945 [0.820513,0.779279]
precision
0.78658 [0.788462,0.784689]
precision
0.804718 [0.83871,0.770563]
precision
0.791371 [0.790476,0.792271]
precision
0.786637 [0.791262,0.781991]
precision
0.803595 [0.795349,0.811881]
precision
0.806633 [0.823232,0.789954]
precision
0.769894 [0.77561,0.764151]
precision
0.777273 [0.768519,0.78607]
precision
0.777518 [0.79,0.764977]
precision
0.789659 [0.80402,0.775229]
precision
0.773637 [0.793814,0.753363]
precision
0.758544 [0.772727,0.744292]
precision
0.793864 [0.788732,0.79902]
precision
0.753303 [0.762376,0.744186]
precision
0.773637 [0.793814,0.753363]
precision
0.789085 [0.795122,0.783019]
precision
0.744716 [0.762887,0.726457]
precision
0.78853 [0.8125,0.764444]
precision
0.803622 [0.812808,0.794393]
precision
0.811151 [0.825,0.797235]
precision
0.775006 [0.78607,0.763889]
precision
0.803478 [0.809756,0.79717]
precision
0.786748 [0.794118,0.779343]
precision
0.785494 [0.805128,0.765766]
predictive_accuracy
0.803828
predictive_accuracy
0.782297
predictive_accuracy
0.784689
predictive_accuracy
0.801435
predictive_accuracy
0.794258
predictive_accuracy
0.799043
predictive_accuracy
0.772727
predictive_accuracy
0.789474
predictive_accuracy
0.784689
predictive_accuracy
0.796651
predictive_accuracy
0.763158
predictive_accuracy
0.796651
predictive_accuracy
0.760766
predictive_accuracy
0.849282
predictive_accuracy
0.767943
predictive_accuracy
0.777512
predictive_accuracy
0.796651
predictive_accuracy
0.76555
predictive_accuracy
0.789474
predictive_accuracy
0.770335
predictive_accuracy
0.820574
predictive_accuracy
0.787081
predictive_accuracy
0.784689
predictive_accuracy
0.787081
predictive_accuracy
0.782297
predictive_accuracy
0.741627
predictive_accuracy
0.796651
predictive_accuracy
0.77512
predictive_accuracy
0.801435
predictive_accuracy
0.779904
predictive_accuracy
0.767943
predictive_accuracy
0.758373
predictive_accuracy
0.811005
predictive_accuracy
0.73445
predictive_accuracy
0.77512
predictive_accuracy
0.772727
predictive_accuracy
0.751196
predictive_accuracy
0.758373
predictive_accuracy
0.770335
predictive_accuracy
0.779904
predictive_accuracy
0.782297
predictive_accuracy
0.763158
predictive_accuracy
0.820574
predictive_accuracy
0.787081
predictive_accuracy
0.758373
predictive_accuracy
0.755981
predictive_accuracy
0.799043
predictive_accuracy
0.803828
predictive_accuracy
0.791866
predictive_accuracy
0.818182
predictive_accuracy
0.758373
predictive_accuracy
0.787081
predictive_accuracy
0.77512
predictive_accuracy
0.811005
predictive_accuracy
0.782297
predictive_accuracy
0.787081
predictive_accuracy
0.80622
predictive_accuracy
0.791866
predictive_accuracy
0.789474
predictive_accuracy
0.791866
predictive_accuracy
0.77512
predictive_accuracy
0.791866
predictive_accuracy
0.818182
predictive_accuracy
0.782297
predictive_accuracy
0.813397
predictive_accuracy
0.796651
predictive_accuracy
0.777512
predictive_accuracy
0.770335
predictive_accuracy
0.784689
predictive_accuracy
0.772727
predictive_accuracy
0.788969
predictive_accuracy
0.776978
predictive_accuracy
0.798561
predictive_accuracy
0.772182
predictive_accuracy
0.784173
predictive_accuracy
0.798561
predictive_accuracy
0.786571
predictive_accuracy
0.800959
predictive_accuracy
0.791367
predictive_accuracy
0.786571
predictive_accuracy
0.803357
predictive_accuracy
0.805755
predictive_accuracy
0.769784
predictive_accuracy
0.776978
predictive_accuracy
0.776978
predictive_accuracy
0.788969
predictive_accuracy
0.772182
predictive_accuracy
0.757794
predictive_accuracy
0.793765
predictive_accuracy
0.752998
predictive_accuracy
0.772182
predictive_accuracy
0.788969
predictive_accuracy
0.743405
predictive_accuracy
0.786571
predictive_accuracy
0.803357
predictive_accuracy
0.810552
predictive_accuracy
0.77458
predictive_accuracy
0.803357
predictive_accuracy
0.786571
predictive_accuracy
0.784173
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
prior_entropy
0.999991
recall
0.803828 [0.755981,0.851675]
recall
0.782297 [0.771429,0.793269]
recall
0.784689 [0.741627,0.827751]
recall
0.801435 [0.790476,0.8125]
recall
0.794258 [0.746411,0.842105]
recall
0.799043 [0.76555,0.832536]
recall
0.772727 [0.755981,0.789474]
recall
0.789474 [0.761905,0.817308]
recall
0.784689 [0.77512,0.794258]
recall
0.796651 [0.751196,0.842105]
recall
0.763158 [0.752381,0.774038]
recall
0.796651 [0.766667,0.826923]
recall
0.760766 [0.747619,0.774038]
recall
0.849282 [0.838095,0.860577]
recall
0.767943 [0.742857,0.793269]
recall
0.777512 [0.766667,0.788462]
recall
0.796651 [0.804762,0.788462]
recall
0.76555 [0.719048,0.8125]
recall
0.789474 [0.733333,0.846154]
recall
0.770335 [0.738095,0.802885]
recall
0.820574 [0.795238,0.846154]
recall
0.787081 [0.785714,0.788462]
recall
0.784689 [0.795238,0.774038]
recall
0.787081 [0.771429,0.802885]
recall
0.782297 [0.742857,0.822115]
recall
0.741627 [0.728571,0.754808]
recall
0.796651 [0.771429,0.822115]
recall
0.77512 [0.766667,0.783654]
recall
0.801435 [0.790476,0.8125]
recall
0.779904 [0.761905,0.798077]
recall
0.767943 [0.7,0.836538]
recall
0.758373 [0.728571,0.788462]
recall
0.811005 [0.77619,0.846154]
recall
0.73445 [0.714286,0.754808]
recall
0.77512 [0.733333,0.817308]
recall
0.772727 [0.738095,0.807692]
recall
0.751196 [0.733333,0.769231]
recall
0.758373 [0.733333,0.783654]
recall
0.770335 [0.714286,0.826923]
recall
0.779904 [0.766667,0.793269]
recall
0.782297 [0.771429,0.793269]
recall
0.763158 [0.785714,0.740385]
recall
0.820574 [0.804762,0.836538]
recall
0.787081 [0.780952,0.793269]
recall
0.758373 [0.752381,0.764423]
recall
0.755981 [0.709524,0.802885]
recall
0.799043 [0.77619,0.822115]
recall
0.803828 [0.804762,0.802885]
recall
0.791866 [0.757143,0.826923]
recall
0.818182 [0.8,0.836538]
recall
0.758373 [0.738095,0.778846]
recall
0.787081 [0.771429,0.802885]
recall
0.77512 [0.747619,0.802885]
recall
0.811005 [0.766667,0.855769]
recall
0.782297 [0.742857,0.822115]
recall
0.787081 [0.757143,0.817308]
recall
0.80622 [0.790476,0.822115]
recall
0.791866 [0.757143,0.826923]
recall
0.789474 [0.771429,0.807692]
recall
0.791866 [0.752381,0.831731]
recall
0.77512 [0.766667,0.783654]
recall
0.791866 [0.789474,0.794258]
recall
0.818182 [0.838095,0.798077]
recall
0.782297 [0.741627,0.822967]
recall
0.813397 [0.814286,0.8125]
recall
0.796651 [0.814286,0.778846]
recall
0.777512 [0.742857,0.8125]
recall
0.770335 [0.751196,0.789474]
recall
0.784689 [0.757143,0.8125]
recall
0.772727 [0.780952,0.764423]
recall
0.788969 [0.741627,0.836538]
recall
0.776978 [0.708134,0.846154]
recall
0.798561 [0.784689,0.8125]
recall
0.772182 [0.751196,0.793269]
recall
0.784173 [0.76555,0.802885]
recall
0.798561 [0.76555,0.831731]
recall
0.786571 [0.784689,0.788462]
recall
0.800959 [0.746411,0.855769]
recall
0.791367 [0.794258,0.788462]
recall
0.786571 [0.779904,0.793269]
recall
0.803357 [0.818182,0.788462]
recall
0.805755 [0.779904,0.831731]
recall
0.769784 [0.760766,0.778846]
recall
0.776978 [0.794258,0.759615]
recall
0.776978 [0.755981,0.798077]
recall
0.788969 [0.76555,0.8125]
recall
0.772182 [0.736842,0.807692]
recall
0.757794 [0.732057,0.783654]
recall
0.793765 [0.803828,0.783654]
recall
0.752998 [0.736842,0.769231]
recall
0.772182 [0.736842,0.807692]
recall
0.788969 [0.779904,0.798077]
recall
0.743405 [0.708134,0.778846]
recall
0.786571 [0.746411,0.826923]
recall
0.803357 [0.789474,0.817308]
recall
0.810552 [0.789474,0.831731]
recall
0.77458 [0.755981,0.793269]
recall
0.803357 [0.794258,0.8125]
recall
0.786571 [0.77512,0.798077]
recall
0.784173 [0.751196,0.817308]
relative_absolute_error
0.536142
relative_absolute_error
0.55199
relative_absolute_error
0.581562
relative_absolute_error
0.557716
relative_absolute_error
0.56375
relative_absolute_error
0.563136
relative_absolute_error
0.54697
relative_absolute_error
0.54996
relative_absolute_error
0.549088
relative_absolute_error
0.536346
relative_absolute_error
0.577577
relative_absolute_error
0.53727
relative_absolute_error
0.609966
relative_absolute_error
0.506155
relative_absolute_error
0.584344
relative_absolute_error
0.567667
relative_absolute_error
0.539122
relative_absolute_error
0.582693
relative_absolute_error
0.573566
relative_absolute_error
0.57496
relative_absolute_error
0.491707
relative_absolute_error
0.565191
relative_absolute_error
0.554793
relative_absolute_error
0.551396
relative_absolute_error
0.562691
relative_absolute_error
0.619852
relative_absolute_error
0.517981
relative_absolute_error
0.585405
relative_absolute_error
0.537809
relative_absolute_error
0.561864
relative_absolute_error
0.589472
relative_absolute_error
0.587592
relative_absolute_error
0.527573
relative_absolute_error
0.605766
relative_absolute_error
0.556137
relative_absolute_error
0.575193
relative_absolute_error
0.593881
relative_absolute_error
0.577579
relative_absolute_error
0.59604
relative_absolute_error
0.544024
relative_absolute_error
0.585203
relative_absolute_error
0.573458
relative_absolute_error
0.518989
relative_absolute_error
0.575416
relative_absolute_error
0.574396
relative_absolute_error
0.569372
relative_absolute_error
0.551219
relative_absolute_error
0.569998
relative_absolute_error
0.552999
relative_absolute_error
0.509277
relative_absolute_error
0.575689
relative_absolute_error
0.574879
relative_absolute_error
0.560234
relative_absolute_error
0.537782
relative_absolute_error
0.551861
relative_absolute_error
0.539275
relative_absolute_error
0.553111
relative_absolute_error
0.541908
relative_absolute_error
0.561939
relative_absolute_error
0.572025
relative_absolute_error
0.577498
relative_absolute_error
0.565618
relative_absolute_error
0.522624
relative_absolute_error
0.566317
relative_absolute_error
0.530774
relative_absolute_error
0.536945
relative_absolute_error
0.567187
relative_absolute_error
0.560703
relative_absolute_error
0.562648
relative_absolute_error
0.561378
relative_absolute_error
0.530738
relative_absolute_error
0.583433
relative_absolute_error
0.544456
relative_absolute_error
0.57061
relative_absolute_error
0.568253
relative_absolute_error
0.57212
relative_absolute_error
0.569728
relative_absolute_error
0.538105
relative_absolute_error
0.542587
relative_absolute_error
0.545688
relative_absolute_error
0.518753
relative_absolute_error
0.527086
relative_absolute_error
0.562129
relative_absolute_error
0.581204
relative_absolute_error
0.565503
relative_absolute_error
0.556781
relative_absolute_error
0.588781
relative_absolute_error
0.582498
relative_absolute_error
0.542688
relative_absolute_error
0.604803
relative_absolute_error
0.57957
relative_absolute_error
0.554286
relative_absolute_error
0.591877
relative_absolute_error
0.548226
relative_absolute_error
0.527404
relative_absolute_error
0.501163
relative_absolute_error
0.553759
relative_absolute_error
0.549258
relative_absolute_error
0.567556
relative_absolute_error
0.563754
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.500003
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499995
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_prior_squared_error
0.499999
root_mean_squared_error
0.370241
root_mean_squared_error
0.382123
root_mean_squared_error
0.391955
root_mean_squared_error
0.379032
root_mean_squared_error
0.381957
root_mean_squared_error
0.383107
root_mean_squared_error
0.382686
root_mean_squared_error
0.384808
root_mean_squared_error
0.377434
root_mean_squared_error
0.367063
root_mean_squared_error
0.394385
root_mean_squared_error
0.377073
root_mean_squared_error
0.40646
root_mean_squared_error
0.350221
root_mean_squared_error
0.398944
root_mean_squared_error
0.386612
root_mean_squared_error
0.375158
root_mean_squared_error
0.393965
root_mean_squared_error
0.393011
root_mean_squared_error
0.394464
root_mean_squared_error
0.348016
root_mean_squared_error
0.379758
root_mean_squared_error
0.377503
root_mean_squared_error
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