248206
2
Joaquin Vanschoren
4291
Supervised Classification
predictive_accuracy
1154
weka.NaiveBayes(10)
1913
weka.classifiers.bayes.NaiveBayes
weka
weka_3.7.12
720
abalone
https://www.openml.org/data/download/53254/abalone.arff
-1
825114
description
https://api.openml.org/data/download/825114/weka_generated_run8244464178608066985.xml
-1
825120
model_readable
https://api.openml.org/data/download/825120/WekaModel_weka.classifiers.bayes.NaiveBayes6391158162855844011.model
-1
825118
model_serialized
https://api.openml.org/data/download/825118/WekaSerialized_weka.classifiers.bayes.NaiveBayes383888134355837846.model
-1
825116
predictions
https://api.openml.org/data/download/825116/weka_generated_predictions3006092846942950500.arff
area_under_roc_curve
0.820577 [0.820577,0.820577]
average_cost
0
f_measure
0.73354 [0.728938,0.738175]
kappa
0.467346
kb_relative_information_score
19436.023989
mean_absolute_error
0.267701
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
0.734086 [0.744797,0.723298]
predictive_accuracy
0.733637
prior_entropy
0.999991
recall
0.733637 [0.71374,0.753676]
relative_absolute_error
0.535408
root_mean_prior_squared_error
0.499997
root_mean_squared_error
0.483812
root_relative_squared_error
0.96763
scimark_benchmark
922.141925 [554.0789831458634, 945.7447781357974, 477.2185884444444, 899.9107119392947, 1733.7565612664832]
total_cost
0
usercpu_time_millis
20
usercpu_time_millis_testing
10
usercpu_time_millis_training
10
area_under_roc_curve
0.839324 [0.839324,0.839324]
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area_under_roc_curve
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area_under_roc_curve
0.83244 [0.83244,0.83244]
area_under_roc_curve
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area_under_roc_curve
0.841899 [0.841899,0.841899]
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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
0.830792 [0.830792,0.830792]
area_under_roc_curve
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area_under_roc_curve
0.853217 [0.853217,0.853217]
area_under_roc_curve
0.85111 [0.85111,0.85111]
area_under_roc_curve
0.844906 [0.844906,0.844906]
area_under_roc_curve
0.834638 [0.834638,0.834638]
area_under_roc_curve
0.805288 [0.805288,0.805288]
area_under_roc_curve
0.766552 [0.766552,0.766552]
area_under_roc_curve
0.873157 [0.873157,0.873157]
area_under_roc_curve
0.82025 [0.82025,0.82025]
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
0.819952 [0.819952,0.819952]
area_under_roc_curve
0.780655 [0.780655,0.780655]
area_under_roc_curve
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area_under_roc_curve
0.803468 [0.803468,0.803468]
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
0.835657 [0.835657,0.835657]
area_under_roc_curve
0.803674 [0.803674,0.803674]
area_under_roc_curve
0.811195 [0.811195,0.811195]
area_under_roc_curve
0.814927 [0.814927,0.814927]
area_under_roc_curve
0.852988 [0.852988,0.852988]
area_under_roc_curve
0.833425 [0.833425,0.833425]
area_under_roc_curve
0.835943 [0.835943,0.835943]
area_under_roc_curve
0.841552 [0.841552,0.841552]
area_under_roc_curve
0.825572 [0.825572,0.825572]
area_under_roc_curve
0.819883 [0.819883,0.819883]
area_under_roc_curve
0.807383 [0.807383,0.807383]
area_under_roc_curve
0.827701 [0.827701,0.827701]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.800378 [0.800378,0.800378]
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
0.805545 [0.805545,0.805545]
area_under_roc_curve
0.836973 [0.836973,0.836973]
area_under_roc_curve
0.8336 [0.8336,0.8336]
area_under_roc_curve
0.849737 [0.849737,0.849737]
area_under_roc_curve
0.849691 [0.849691,0.849691]
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
0.821448 [0.821448,0.821448]
area_under_roc_curve
0.827521 [0.827521,0.827521]
area_under_roc_curve
0.819838 [0.819838,0.819838]
area_under_roc_curve
0.818906 [0.818906,0.818906]
area_under_roc_curve
0.850662 [0.850662,0.850662]
area_under_roc_curve
0.836124 [0.836124,0.836124]
area_under_roc_curve
0.845452 [0.845452,0.845452]
area_under_roc_curve
0.860692 [0.860692,0.860692]
area_under_roc_curve
0.844141 [0.844141,0.844141]
area_under_roc_curve
0.809498 [0.809498,0.809498]
area_under_roc_curve
0.809372 [0.809372,0.809372]
area_under_roc_curve
0.798364 [0.798364,0.798364]
area_under_roc_curve
0.805588 [0.805588,0.805588]
area_under_roc_curve
0.800906 [0.800906,0.800906]
area_under_roc_curve
0.786909 [0.786909,0.786909]
area_under_roc_curve
0.813133 [0.813133,0.813133]
area_under_roc_curve
0.809452 [0.809452,0.809452]
area_under_roc_curve
0.811798 [0.811798,0.811798]
area_under_roc_curve
0.810372 [0.810372,0.810372]
area_under_roc_curve
0.806554 [0.806554,0.806554]
area_under_roc_curve
0.827291 [0.827291,0.827291]
area_under_roc_curve
0.834986 [0.834986,0.834986]
area_under_roc_curve
0.84222 [0.84222,0.84222]
area_under_roc_curve
0.830592 [0.830592,0.830592]
area_under_roc_curve
0.835446 [0.835446,0.835446]
area_under_roc_curve
0.83027 [0.83027,0.83027]
area_under_roc_curve
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average_cost
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f_measure
0.75578 [0.748768,0.762791]
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
186.581511
kb_relative_information_score
220.75038
kb_relative_information_score
185.857526
kb_relative_information_score
194.352731
kb_relative_information_score
193.586057
kb_relative_information_score
166.861444
kb_relative_information_score
203.434328
kb_relative_information_score
192.64314
kb_relative_information_score
193.459875
kb_relative_information_score
157.029998
kb_relative_information_score
171.690015
kb_relative_information_score
209.044393
kb_relative_information_score
172.104722
kb_relative_information_score
195.282065
kb_relative_information_score
183.135809
kb_relative_information_score
222.231674
kb_relative_information_score
202.224166
kb_relative_information_score
208.69697
kb_relative_information_score
207.334393
kb_relative_information_score
199.645287
kb_relative_information_score
194.440588
kb_relative_information_score
180.425396
kb_relative_information_score
196.953851
kb_relative_information_score
187.983922
kb_relative_information_score
211.795139
kb_relative_information_score
177.078086
kb_relative_information_score
185.795573
kb_relative_information_score
170.714629
kb_relative_information_score
196.644818
kb_relative_information_score
194.427617
kb_relative_information_score
184.02858
kb_relative_information_score
214.613501
kb_relative_information_score
206.323561
kb_relative_information_score
208.712668
kb_relative_information_score
217.405688
kb_relative_information_score
175.417938
kb_relative_information_score
198.046731
kb_relative_information_score
186.825973
kb_relative_information_score
186.278178
kb_relative_information_score
201.668948
kb_relative_information_score
194.841329
kb_relative_information_score
209.893759
kb_relative_information_score
197.904432
kb_relative_information_score
192.832109
kb_relative_information_score
207.704902
kb_relative_information_score
181.323866
kb_relative_information_score
224.044854
kb_relative_information_score
202.491488
kb_relative_information_score
217.291274
kb_relative_information_score
221.907111
kb_relative_information_score
200.422004
kb_relative_information_score
180.181816
kb_relative_information_score
188.491943
kb_relative_information_score
173.874075
kb_relative_information_score
182.517231
kb_relative_information_score
192.120089
kb_relative_information_score
168.213189
kb_relative_information_score
183.665136
kb_relative_information_score
194.037809
kb_relative_information_score
195.598463
kb_relative_information_score
188.876289
kb_relative_information_score
182.907579
kb_relative_information_score
200.307686
kb_relative_information_score
205.259545
kb_relative_information_score
207.14573
kb_relative_information_score
195.35359
kb_relative_information_score
194.529058
kb_relative_information_score
203.542724
kb_relative_information_score
186.76046
mean_absolute_error
0.248736
mean_absolute_error
0.277073
mean_absolute_error
0.282902
mean_absolute_error
0.289116
mean_absolute_error
0.248335
mean_absolute_error
0.269526
mean_absolute_error
0.266532
mean_absolute_error
0.255761
mean_absolute_error
0.271807
mean_absolute_error
0.240465
mean_absolute_error
0.283265
mean_absolute_error
0.245796
mean_absolute_error
0.316425
mean_absolute_error
0.248349
mean_absolute_error
0.272031
mean_absolute_error
0.271386
mean_absolute_error
0.268193
mean_absolute_error
0.30352
mean_absolute_error
0.249098
mean_absolute_error
0.29651
mean_absolute_error
0.248878
mean_absolute_error
0.232769
mean_absolute_error
0.249889
mean_absolute_error
0.253834
mean_absolute_error
0.279342
mean_absolute_error
0.313878
mean_absolute_error
0.20712
mean_absolute_error
0.261758
mean_absolute_error
0.269063
mean_absolute_error
0.292583
mean_absolute_error
0.296342
mean_absolute_error
0.278295
mean_absolute_error
0.23623
mean_absolute_error
0.279493
mean_absolute_error
0.267706
mean_absolute_error
0.26833
mean_absolute_error
0.300025
mean_absolute_error
0.257454
mean_absolute_error
0.270543
mean_absolute_error
0.268015
mean_absolute_error
0.313368
mean_absolute_error
0.293865
mean_absolute_error
0.250338
mean_absolute_error
0.293537
mean_absolute_error
0.266565
mean_absolute_error
0.281257
mean_absolute_error
0.235093
mean_absolute_error
0.258839
mean_absolute_error
0.251803
mean_absolute_error
0.251666
mean_absolute_error
0.261394
mean_absolute_error
0.268216
mean_absolute_error
0.284622
mean_absolute_error
0.263383
mean_absolute_error
0.275211
mean_absolute_error
0.24644
mean_absolute_error
0.288611
mean_absolute_error
0.277582
mean_absolute_error
0.295161
mean_absolute_error
0.266199
mean_absolute_error
0.266943
mean_absolute_error
0.280037
mean_absolute_error
0.243512
mean_absolute_error
0.253423
mean_absolute_error
0.250002
mean_absolute_error
0.241011
mean_absolute_error
0.289973
mean_absolute_error
0.264111
mean_absolute_error
0.275981
mean_absolute_error
0.276729
mean_absolute_error
0.25858
mean_absolute_error
0.26661
mean_absolute_error
0.249468
mean_absolute_error
0.262655
mean_absolute_error
0.270092
mean_absolute_error
0.253025
mean_absolute_error
0.282781
mean_absolute_error
0.232353
mean_absolute_error
0.258041
mean_absolute_error
0.24001
mean_absolute_error
0.234259
mean_absolute_error
0.258616
mean_absolute_error
0.284149
mean_absolute_error
0.274963
mean_absolute_error
0.291641
mean_absolute_error
0.281751
mean_absolute_error
0.271055
mean_absolute_error
0.298389
mean_absolute_error
0.279723
mean_absolute_error
0.268102
mean_absolute_error
0.265564
mean_absolute_error
0.274504
mean_absolute_error
0.280406
mean_absolute_error
0.260533
mean_absolute_error
0.253569
mean_absolute_error
0.252349
mean_absolute_error
0.265404
mean_absolute_error
0.267156
mean_absolute_error
0.255953
mean_absolute_error
0.276967
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
418 [210,208]
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418 [209,209]
number_of_instances
418 [209,209]
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418 [209,209]
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418 [209,209]
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418 [209,209]
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418 [210,208]
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418 [210,208]
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418 [210,208]
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418 [210,208]
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418 [210,208]
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418 [210,208]
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418 [210,208]
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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 [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]
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]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
precision
0.756828 [0.771574,0.742081]
precision
0.720766 [0.747312,0.693966]
precision
0.720343 [0.727723,0.712963]
precision
0.715375 [0.719807,0.7109]
precision
0.752027 [0.766497,0.737557]
precision
0.732249 [0.738916,0.725581]
precision
0.742426 [0.756345,0.728507]
precision
0.742497 [0.757576,0.727273]
precision
0.729797 [0.735294,0.724299]
precision
0.76452 [0.783505,0.745536]
precision
0.712951 [0.716346,0.709524]
precision
0.763695 [0.776119,0.751152]
precision
0.686614 [0.688995,0.684211]
precision
0.748804 [0.748815,0.748792]
precision
0.741637 [0.740566,0.742718]
precision
0.722488 [0.72381,0.721154]
precision
0.734449 [0.734597,0.7343]
precision
0.696441 [0.704433,0.688372]
precision
0.765004 [0.798913,0.730769]
precision
0.716232 [0.730964,0.701357]
precision
0.755981 [0.757143,0.754808]
precision
0.778073 [0.791045,0.764977]
precision
0.753762 [0.760976,0.746479]
precision
0.751438 [0.759804,0.742991]
precision
0.71909 [0.737113,0.700893]
precision
0.688294 [0.706806,0.669604]
precision
0.797244 [0.810945,0.78341]
precision
0.744996 [0.774194,0.715517]
precision
0.72271 [0.730392,0.714953]
precision
0.71059 [0.714976,0.706161]
precision
0.716992 [0.747253,0.686441]
precision
0.734614 [0.741463,0.7277]
precision
0.766507 [0.796791,0.735931]
precision
0.731299 [0.751295,0.711111]
precision
0.732286 [0.740196,0.724299]
precision
0.727656 [0.737624,0.717593]
precision
0.69481 [0.681416,0.708333]
precision
0.747956 [0.768041,0.727679]
precision
0.732286 [0.740196,0.724299]
precision
0.725041 [0.731707,0.71831]
precision
0.690223 [0.706186,0.674107]
precision
0.69625 [0.693023,0.699507]
precision
0.753589 [0.753555,0.753623]
precision
0.703702 [0.712871,0.694444]
precision
0.73494 [0.746269,0.723502]
precision
0.722488 [0.72381,0.721154]
precision
0.772012 [0.793814,0.75]
precision
0.739401 [0.746341,0.732394]
precision
0.756401 [0.767327,0.74537]
precision
0.744031 [0.746411,0.741627]
precision
0.742497 [0.757576,0.727273]
precision
0.736852 [0.735849,0.737864]
precision
0.717922 [0.72549,0.71028]
precision
0.727857 [0.74,0.715596]
precision
0.729497 [0.752632,0.70614]
precision
0.753658 [0.758454,0.748815]
precision
0.713702 [0.727273,0.7]
precision
0.718267 [0.73,0.706422]
precision
0.698597 [0.701923,0.695238]
precision
0.750986 [0.774869,0.726872]
precision
0.732066 [0.731132,0.73301]
precision
0.720951 [0.734694,0.707207]
precision
0.757579 [0.778351,0.736607]
precision
0.747864 [0.766839,0.728889]
precision
0.746919 [0.736364,0.757576]
precision
0.763491 [0.773399,0.753488]
precision
0.707584 [0.727749,0.687225]
precision
0.741627 [0.741627,0.741627]
precision
0.723449 [0.751351,0.695279]
precision
0.713134 [0.720588,0.705607]
precision
0.746957 [0.764103,0.72973]
precision
0.740257 [0.760417,0.72]
precision
0.760597 [0.771144,0.75]
precision
0.73631 [0.741463,0.731132]
precision
0.741386 [0.751244,0.731481]
precision
0.762264 [0.796703,0.72766]
precision
0.719541 [0.743316,0.695652]
precision
0.773278 [0.790816,0.755656]
precision
0.746655 [0.761421,0.731818]
precision
0.75559 [0.748837,0.762376]
precision
0.766151 [0.748879,0.783505]
precision
0.732221 [0.746193,0.718182]
precision
0.71223 [0.712919,0.711538]
precision
0.731979 [0.743719,0.720183]
precision
0.706153 [0.721649,0.690583]
precision
0.721741 [0.744681,0.69869]
precision
0.731625 [0.738916,0.724299]
precision
0.710092 [0.717822,0.702326]
precision
0.71948 [0.723301,0.71564]
precision
0.732835 [0.751295,0.714286]
precision
0.732835 [0.751295,0.714286]
precision
0.724496 [0.732673,0.716279]
precision
0.716896 [0.739362,0.694323]
precision
0.739895 [0.757732,0.721973]
precision
0.744117 [0.757576,0.730594]
precision
0.753001 [0.752381,0.753623]
precision
0.729297 [0.737624,0.72093]
precision
0.733852 [0.731132,0.736585]
precision
0.741189 [0.734884,0.747525]
precision
0.732835 [0.751295,0.714286]
predictive_accuracy
0.755981
predictive_accuracy
0.717703
predictive_accuracy
0.720096
predictive_accuracy
0.715311
predictive_accuracy
0.751196
predictive_accuracy
0.732057
predictive_accuracy
0.741627
predictive_accuracy
0.741627
predictive_accuracy
0.729665
predictive_accuracy
0.763158
predictive_accuracy
0.712919
predictive_accuracy
0.763158
predictive_accuracy
0.686603
predictive_accuracy
0.748804
predictive_accuracy
0.741627
predictive_accuracy
0.722488
predictive_accuracy
0.73445
predictive_accuracy
0.696172
predictive_accuracy
0.760766
predictive_accuracy
0.715311
predictive_accuracy
0.755981
predictive_accuracy
0.777512
predictive_accuracy
0.753589
predictive_accuracy
0.751196
predictive_accuracy
0.717703
predictive_accuracy
0.686603
predictive_accuracy
0.796651
predictive_accuracy
0.741627
predictive_accuracy
0.722488
predictive_accuracy
0.710526
predictive_accuracy
0.712919
predictive_accuracy
0.73445
predictive_accuracy
0.763158
predictive_accuracy
0.729665
predictive_accuracy
0.732057
predictive_accuracy
0.727273
predictive_accuracy
0.69378
predictive_accuracy
0.746411
predictive_accuracy
0.732057
predictive_accuracy
0.72488
predictive_accuracy
0.688995
predictive_accuracy
0.696172
predictive_accuracy
0.753589
predictive_accuracy
0.703349
predictive_accuracy
0.73445
predictive_accuracy
0.722488
predictive_accuracy
0.770335
predictive_accuracy
0.739234
predictive_accuracy
0.755981
predictive_accuracy
0.744019
predictive_accuracy
0.741627
predictive_accuracy
0.736842
predictive_accuracy
0.717703
predictive_accuracy
0.727273
predictive_accuracy
0.727273
predictive_accuracy
0.753589
predictive_accuracy
0.712919
predictive_accuracy
0.717703
predictive_accuracy
0.698565
predictive_accuracy
0.748804
predictive_accuracy
0.732057
predictive_accuracy
0.720096
predictive_accuracy
0.755981
predictive_accuracy
0.746411
predictive_accuracy
0.746411
predictive_accuracy
0.763158
predictive_accuracy
0.705742
predictive_accuracy
0.741627
predictive_accuracy
0.720096
predictive_accuracy
0.712919
predictive_accuracy
0.745803
predictive_accuracy
0.738609
predictive_accuracy
0.760192
predictive_accuracy
0.736211
predictive_accuracy
0.741007
predictive_accuracy
0.757794
predictive_accuracy
0.717026
predictive_accuracy
0.772182
predictive_accuracy
0.745803
predictive_accuracy
0.755396
predictive_accuracy
0.764988
predictive_accuracy
0.731415
predictive_accuracy
0.71223
predictive_accuracy
0.731415
predictive_accuracy
0.705036
predictive_accuracy
0.719424
predictive_accuracy
0.731415
predictive_accuracy
0.709832
predictive_accuracy
0.719424
predictive_accuracy
0.731415
predictive_accuracy
0.731415
predictive_accuracy
0.724221
predictive_accuracy
0.714628
predictive_accuracy
0.738609
predictive_accuracy
0.743405
predictive_accuracy
0.752998
predictive_accuracy
0.729017
predictive_accuracy
0.733813
predictive_accuracy
0.741007
predictive_accuracy
0.731415
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
0.755981 [0.727273,0.784689]
recall
0.717703 [0.661905,0.774038]
recall
0.720096 [0.703349,0.736842]
recall
0.715311 [0.709524,0.721154]
recall
0.751196 [0.722488,0.779904]
recall
0.732057 [0.717703,0.746411]
recall
0.741627 [0.712919,0.770335]
recall
0.741627 [0.714286,0.769231]
recall
0.729665 [0.717703,0.741627]
recall
0.763158 [0.727273,0.799043]
recall
0.712919 [0.709524,0.716346]
recall
0.763158 [0.742857,0.783654]
recall
0.686603 [0.685714,0.6875]
recall
0.748804 [0.752381,0.745192]
recall
0.741627 [0.747619,0.735577]
recall
0.722488 [0.72381,0.721154]
recall
0.73445 [0.738095,0.730769]
recall
0.696172 [0.680952,0.711538]
recall
0.760766 [0.7,0.822115]
recall
0.715311 [0.685714,0.745192]
recall
0.755981 [0.757143,0.754808]
recall
0.777512 [0.757143,0.798077]
recall
0.753589 [0.742857,0.764423]
recall
0.751196 [0.738095,0.764423]
recall
0.717703 [0.680952,0.754808]
recall
0.686603 [0.642857,0.730769]
recall
0.796651 [0.77619,0.817308]
recall
0.741627 [0.685714,0.798077]
recall
0.722488 [0.709524,0.735577]
recall
0.710526 [0.704762,0.716346]
recall
0.712919 [0.647619,0.778846]
recall
0.73445 [0.72381,0.745192]
recall
0.763158 [0.709524,0.817308]
recall
0.729665 [0.690476,0.769231]
recall
0.732057 [0.719048,0.745192]
recall
0.727273 [0.709524,0.745192]
recall
0.69378 [0.733333,0.653846]
recall
0.746411 [0.709524,0.783654]
recall
0.732057 [0.719048,0.745192]
recall
0.72488 [0.714286,0.735577]
recall
0.688995 [0.652381,0.725962]
recall
0.696172 [0.709524,0.682692]
recall
0.753589 [0.757143,0.75]
recall
0.703349 [0.685714,0.721154]
recall
0.73445 [0.714286,0.754808]
recall
0.722488 [0.72381,0.721154]
recall
0.770335 [0.733333,0.807692]
recall
0.739234 [0.728571,0.75]
recall
0.755981 [0.738095,0.774038]
recall
0.744019 [0.742857,0.745192]
recall
0.741627 [0.714286,0.769231]
recall
0.736842 [0.742857,0.730769]
recall
0.717703 [0.704762,0.730769]
recall
0.727273 [0.704762,0.75]
recall
0.727273 [0.680952,0.774038]
recall
0.753589 [0.747619,0.759615]
recall
0.712919 [0.685714,0.740385]
recall
0.717703 [0.695238,0.740385]
recall
0.698565 [0.695238,0.701923]
recall
0.748804 [0.704762,0.793269]
recall
0.732057 [0.738095,0.725962]
recall
0.720096 [0.688995,0.751196]
recall
0.755981 [0.719048,0.793269]
recall
0.746411 [0.708134,0.784689]
recall
0.746411 [0.771429,0.721154]
recall
0.763158 [0.747619,0.778846]
recall
0.705742 [0.661905,0.75]
recall
0.741627 [0.741627,0.741627]
recall
0.720096 [0.661905,0.778846]
recall
0.712919 [0.7,0.725962]
recall
0.745803 [0.712919,0.778846]
recall
0.738609 [0.698565,0.778846]
recall
0.760192 [0.741627,0.778846]
recall
0.736211 [0.727273,0.745192]
recall
0.741007 [0.722488,0.759615]
recall
0.757794 [0.69378,0.822115]
recall
0.717026 [0.665072,0.769231]
recall
0.772182 [0.741627,0.802885]
recall
0.745803 [0.717703,0.774038]
recall
0.755396 [0.770335,0.740385]
recall
0.764988 [0.799043,0.730769]
recall
0.731415 [0.703349,0.759615]
recall
0.71223 [0.712919,0.711538]
recall
0.731415 [0.708134,0.754808]
recall
0.705036 [0.669856,0.740385]
recall
0.719424 [0.669856,0.769231]
recall
0.731415 [0.717703,0.745192]
recall
0.709832 [0.69378,0.725962]
recall
0.719424 [0.712919,0.725962]
recall
0.731415 [0.69378,0.769231]
recall
0.731415 [0.69378,0.769231]
recall
0.724221 [0.708134,0.740385]
recall
0.714628 [0.665072,0.764423]
recall
0.738609 [0.703349,0.774038]
recall
0.743405 [0.717703,0.769231]
recall
0.752998 [0.755981,0.75]
recall
0.729017 [0.712919,0.745192]
recall
0.733813 [0.741627,0.725962]
recall
0.741007 [0.755981,0.725962]
recall
0.731415 [0.69378,0.769231]
relative_absolute_error
0.497472
relative_absolute_error
0.554155
relative_absolute_error
0.565805
relative_absolute_error
0.578243
relative_absolute_error
0.49667
relative_absolute_error
0.539052
relative_absolute_error
0.533064
relative_absolute_error
0.51153
relative_absolute_error
0.543614
relative_absolute_error
0.48093
relative_absolute_error
0.56654
relative_absolute_error
0.4916
relative_absolute_error
0.632862
relative_absolute_error
0.496707
relative_absolute_error
0.544071
relative_absolute_error
0.542782
relative_absolute_error
0.536395
relative_absolute_error
0.607051
relative_absolute_error
0.498204
relative_absolute_error
0.59303
relative_absolute_error
0.497764
relative_absolute_error
0.465547
relative_absolute_error
0.499786
relative_absolute_error
0.507677
relative_absolute_error
0.558694
relative_absolute_error
0.627766
relative_absolute_error
0.414247
relative_absolute_error
0.523524
relative_absolute_error
0.538136
relative_absolute_error
0.585176
relative_absolute_error
0.592694
relative_absolute_error
0.5566
relative_absolute_error
0.472467
relative_absolute_error
0.558995
relative_absolute_error
0.53542
relative_absolute_error
0.536668
relative_absolute_error
0.600059
relative_absolute_error
0.514918
relative_absolute_error
0.541095
relative_absolute_error
0.536039
relative_absolute_error
0.626747
relative_absolute_error
0.587741
relative_absolute_error
0.500685
relative_absolute_error
0.587085
relative_absolute_error
0.533139
relative_absolute_error
0.562525
relative_absolute_error
0.470194
relative_absolute_error
0.517688
relative_absolute_error
0.503615
relative_absolute_error
0.50334
relative_absolute_error
0.522798
relative_absolute_error
0.536442
relative_absolute_error
0.569254
relative_absolute_error
0.526775
relative_absolute_error
0.550432
relative_absolute_error
0.492888
relative_absolute_error
0.577232
relative_absolute_error
0.555173
relative_absolute_error
0.590332
relative_absolute_error
0.532407
relative_absolute_error
0.533894
relative_absolute_error
0.560075
relative_absolute_error
0.487033
relative_absolute_error
0.506846
relative_absolute_error
0.500012
relative_absolute_error
0.48203
relative_absolute_error
0.579956
relative_absolute_error
0.528223
relative_absolute_error
0.551972
relative_absolute_error
0.553467
relative_absolute_error
0.517164
relative_absolute_error
0.533225
relative_absolute_error
0.498941
relative_absolute_error
0.525314
relative_absolute_error
0.540189
relative_absolute_error
0.506054
relative_absolute_error
0.565567
relative_absolute_error
0.46471
relative_absolute_error
0.516086
relative_absolute_error
0.480023
relative_absolute_error
0.468522
relative_absolute_error
0.517237
relative_absolute_error
0.568303
relative_absolute_error
0.54993
relative_absolute_error
0.583287
relative_absolute_error
0.563506
relative_absolute_error
0.542115
relative_absolute_error
0.596784
relative_absolute_error
0.559452
relative_absolute_error
0.536208
relative_absolute_error
0.531133
relative_absolute_error
0.549013
relative_absolute_error
0.560817
relative_absolute_error
0.52107
relative_absolute_error
0.507143
relative_absolute_error
0.504702
relative_absolute_error
0.530813
relative_absolute_error
0.534317
relative_absolute_error
0.51191
relative_absolute_error
0.553939
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
0.461373
root_mean_squared_error
0.4921
root_mean_squared_error
0.499201
root_mean_squared_error
0.510359
root_mean_squared_error
0.468018
root_mean_squared_error
0.486371
root_mean_squared_error
0.48304
root_mean_squared_error
0.472465
root_mean_squared_error
0.49092
root_mean_squared_error
0.452509
root_mean_squared_error
0.504323
root_mean_squared_error
0.462112
root_mean_squared_error
0.530195
root_mean_squared_error
0.462725
root_mean_squared_error
0.488856
root_mean_squared_error
0.485405
root_mean_squared_error
0.48967
root_mean_squared_error
0.518758
root_mean_squared_error
0.465789
root_mean_squared_error
0.510577
root_mean_squared_error
0.463842
root_mean_squared_error
0.447299
root_mean_squared_error
0.457865
root_mean_squared_error
0.474074
root_mean_squared_error
0.495528
root_mean_squared_error
0.530239
root_mean_squared_error
0.421808
root_mean_squared_error
0.479429
root_mean_squared_error
0.485221
root_mean_squared_error
0.509185
root_mean_squared_error
0.510237
root_mean_squared_error
0.493767
root_mean_squared_error
0.451459
root_mean_squared_error
0.496743
root_mean_squared_error
0.484973
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