289530
2
Joaquin Vanschoren
4291
Supervised Classification
predictive_accuracy
1106
weka.KStar(3)
1875
weka.classifiers.lazy.KStar -- -B 20 -M a
B
20
1106
M
a
1106
weka
weka_3.7.12
720
abalone
https://www.openml.org/data/download/53254/abalone.arff
-1
975457
description
https://api.openml.org/data/download/975457/weka_generated_run3445856181647112722.xml
-1
975460
model_readable
https://api.openml.org/data/download/975460/WekaModel_weka.classifiers.lazy.KStar7954235243885055944.model
-1
975459
model_serialized
https://api.openml.org/data/download/975459/WekaSerialized_weka.classifiers.lazy.KStar7467077723743059791.model
-1
975458
predictions
https://api.openml.org/data/download/975458/weka_generated_predictions8586006240071842421.arff
area_under_roc_curve
0.869654 [0.869654,0.869654]
average_cost
0
f_measure
0.787925 [0.786914,0.788944]
kappa
0.575888
kb_relative_information_score
18763.070274
mean_absolute_error
0.288534
mean_prior_absolute_error
0.499994
number_of_instances
41770 [20960,20810]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.788028 [0.793595,0.78242]
predictive_accuracy
0.787934
prior_entropy
0.999991
recall
0.787934 [0.780344,0.795579]
relative_absolute_error
0.577075
root_mean_prior_squared_error
0.499997
root_mean_squared_error
0.382948
root_relative_squared_error
0.765902
scimark_benchmark
1318.562694 [804.9102886377058, 977.1577105498627, 518.9665640553163, 1072.6022888144519, 3219.1766169821944]
total_cost
0
usercpu_time_millis
100320
usercpu_time_millis_testing
100310
usercpu_time_millis_training
10
area_under_roc_curve
0.88835 [0.88835,0.88835]
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.885371 [0.885371,0.885371]
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
0.87832 [0.87832,0.87832]
area_under_roc_curve
0.8788 [0.8788,0.8788]
area_under_roc_curve
0.902816 [0.902816,0.902816]
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
0.880495 [0.880495,0.880495]
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
0.884844 [0.884844,0.884844]
area_under_roc_curve
0.862068 [0.862068,0.862068]
area_under_roc_curve
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area_under_roc_curve
0.893636 [0.893636,0.893636]
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
0.871642 [0.871642,0.871642]
area_under_roc_curve
0.868007 [0.868007,0.868007]
area_under_roc_curve
0.876403 [0.876403,0.876403]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.873321 [0.873321,0.873321]
area_under_roc_curve
0.889331 [0.889331,0.889331]
area_under_roc_curve
0.888135 [0.888135,0.888135]
area_under_roc_curve
0.863383 [0.863383,0.863383]
area_under_roc_curve
0.854734 [0.854734,0.854734]
area_under_roc_curve
0.849328 [0.849328,0.849328]
area_under_roc_curve
0.879555 [0.879555,0.879555]
area_under_roc_curve
0.851468 [0.851468,0.851468]
area_under_roc_curve
0.835342 [0.835342,0.835342]
area_under_roc_curve
0.876265 [0.876265,0.876265]
area_under_roc_curve
0.851905 [0.851905,0.851905]
area_under_roc_curve
0.857034 [0.857034,0.857034]
area_under_roc_curve
0.873551 [0.873551,0.873551]
area_under_roc_curve
0.855332 [0.855332,0.855332]
area_under_roc_curve
0.875253 [0.875253,0.875253]
area_under_roc_curve
0.879026 [0.879026,0.879026]
area_under_roc_curve
0.900511 [0.900511,0.900511]
area_under_roc_curve
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area_under_roc_curve
0.895381 [0.895381,0.895381]
area_under_roc_curve
0.885282 [0.885282,0.885282]
area_under_roc_curve
0.866236 [0.866236,0.866236]
average_cost
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f_measure
0.803607 [0.79703,0.810185]
f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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kb_relative_information_score
177.866327
kb_relative_information_score
202.613819
kb_relative_information_score
171.768459
kb_relative_information_score
189.651728
kb_relative_information_score
185.812625
kb_relative_information_score
165.975036
kb_relative_information_score
179.272588
kb_relative_information_score
171.661726
kb_relative_information_score
197.971577
kb_relative_information_score
173.996791
kb_relative_information_score
185.243508
kb_relative_information_score
192.777327
kb_relative_information_score
179.103245
kb_relative_information_score
180.922553
kb_relative_information_score
179.832981
kb_relative_information_score
188.16832
kb_relative_information_score
187.993675
kb_relative_information_score
196.407715
kb_relative_information_score
207.271413
kb_relative_information_score
179.263672
kb_relative_information_score
179.069105
kb_relative_information_score
184.410333
kb_relative_information_score
197.469454
kb_relative_information_score
191.017399
kb_relative_information_score
199.469467
kb_relative_information_score
181.353433
kb_relative_information_score
188.522141
kb_relative_information_score
180.693881
kb_relative_information_score
173.948522
kb_relative_information_score
184.278894
kb_relative_information_score
173.58829
kb_relative_information_score
197.560092
kb_relative_information_score
185.141268
kb_relative_information_score
203.10152
kb_relative_information_score
202.158509
kb_relative_information_score
191.548863
kb_relative_information_score
190.47465
kb_relative_information_score
186.387967
kb_relative_information_score
185.79109
kb_relative_information_score
195.17028
kb_relative_information_score
184.95678
kb_relative_information_score
186.741643
kb_relative_information_score
186.849518
kb_relative_information_score
187.462907
kb_relative_information_score
180.953786
kb_relative_information_score
186.336627
kb_relative_information_score
201.086514
kb_relative_information_score
194.033052
kb_relative_information_score
187.163514
kb_relative_information_score
196.366386
kb_relative_information_score
201.095356
kb_relative_information_score
181.478706
kb_relative_information_score
177.207714
kb_relative_information_score
175.470336
kb_relative_information_score
188.525817
kb_relative_information_score
174.813868
kb_relative_information_score
168.731148
kb_relative_information_score
186.992803
kb_relative_information_score
176.959026
kb_relative_information_score
181.115387
kb_relative_information_score
190.324153
kb_relative_information_score
181.365777
kb_relative_information_score
188.032505
kb_relative_information_score
198.077427
kb_relative_information_score
207.477658
kb_relative_information_score
193.894908
kb_relative_information_score
204.185285
kb_relative_information_score
194.780991
kb_relative_information_score
187.626509
mean_absolute_error
0.277989
mean_absolute_error
0.285454
mean_absolute_error
0.295035
mean_absolute_error
0.281629
mean_absolute_error
0.282726
mean_absolute_error
0.28996
mean_absolute_error
0.279903
mean_absolute_error
0.28306
mean_absolute_error
0.286217
mean_absolute_error
0.275013
mean_absolute_error
0.293961
mean_absolute_error
0.277049
mean_absolute_error
0.307662
mean_absolute_error
0.257431
mean_absolute_error
0.296775
mean_absolute_error
0.291999
mean_absolute_error
0.284608
mean_absolute_error
0.299634
mean_absolute_error
0.292417
mean_absolute_error
0.30233
mean_absolute_error
0.258829
mean_absolute_error
0.285796
mean_absolute_error
0.280491
mean_absolute_error
0.28825
mean_absolute_error
0.293549
mean_absolute_error
0.316697
mean_absolute_error
0.268189
mean_absolute_error
0.29852
mean_absolute_error
0.27919
mean_absolute_error
0.294774
mean_absolute_error
0.308723
mean_absolute_error
0.299776
mean_absolute_error
0.272809
mean_absolute_error
0.306542
mean_absolute_error
0.286768
mean_absolute_error
0.291356
mean_absolute_error
0.311608
mean_absolute_error
0.297148
mean_absolute_error
0.307466
mean_absolute_error
0.277272
mean_absolute_error
0.304911
mean_absolute_error
0.290245
mean_absolute_error
0.28219
mean_absolute_error
0.298175
mean_absolute_error
0.295796
mean_absolute_error
0.296467
mean_absolute_error
0.289569
mean_absolute_error
0.289816
mean_absolute_error
0.27976
mean_absolute_error
0.266718
mean_absolute_error
0.296848
mean_absolute_error
0.298328
mean_absolute_error
0.291888
mean_absolute_error
0.276189
mean_absolute_error
0.28409
mean_absolute_error
0.275478
mean_absolute_error
0.295714
mean_absolute_error
0.287181
mean_absolute_error
0.29659
mean_absolute_error
0.304771
mean_absolute_error
0.293235
mean_absolute_error
0.304566
mean_absolute_error
0.277329
mean_absolute_error
0.291879
mean_absolute_error
0.27089
mean_absolute_error
0.27205
mean_absolute_error
0.28516
mean_absolute_error
0.28473
mean_absolute_error
0.291092
mean_absolute_error
0.290722
mean_absolute_error
0.27867
mean_absolute_error
0.291355
mean_absolute_error
0.289246
mean_absolute_error
0.290249
mean_absolute_error
0.289837
mean_absolute_error
0.296649
mean_absolute_error
0.29077
mean_absolute_error
0.272856
mean_absolute_error
0.281333
mean_absolute_error
0.288796
mean_absolute_error
0.277983
mean_absolute_error
0.274385
mean_absolute_error
0.295036
mean_absolute_error
0.301093
mean_absolute_error
0.301624
mean_absolute_error
0.287607
mean_absolute_error
0.30192
mean_absolute_error
0.307097
mean_absolute_error
0.287423
mean_absolute_error
0.299906
mean_absolute_error
0.296716
mean_absolute_error
0.284288
mean_absolute_error
0.295379
mean_absolute_error
0.287428
mean_absolute_error
0.275784
mean_absolute_error
0.26468
mean_absolute_error
0.280762
mean_absolute_error
0.269828
mean_absolute_error
0.280397
mean_absolute_error
0.287218
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]
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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]
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]
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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 [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]
number_of_instances
417 [209,208]
number_of_instances
417 [209,208]
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417 [209,208]
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417 [209,208]
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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]
precision
0.805197 [0.825641,0.784753]
precision
0.789937 [0.80198,0.777778]
precision
0.773034 [0.782178,0.763889]
precision
0.799519 [0.811881,0.787037]
precision
0.797475 [0.813131,0.781818]
precision
0.785107 [0.79602,0.774194]
precision
0.809633 [0.827411,0.791855]
precision
0.803957 [0.81068,0.79717]
precision
0.778028 [0.766055,0.79]
precision
0.816667 [0.833333,0.8]
precision
0.772739 [0.77512,0.770335]
precision
0.802665 [0.822335,0.782805]
precision
0.753658 [0.758454,0.748815]
precision
0.832833 [0.843137,0.82243]
precision
0.780496 [0.768182,0.792929]
precision
0.779987 [0.775701,0.784314]
precision
0.772997 [0.764977,0.781095]
precision
0.768014 [0.772947,0.763033]
precision
0.785279 [0.814815,0.755459]
precision
0.765954 [0.793651,0.737991]
precision
0.856485 [0.853774,0.859223]
precision
0.799134 [0.794393,0.803922]
precision
0.807022 [0.791855,0.822335]
precision
0.77992 [0.778302,0.781553]
precision
0.793448 [0.815385,0.7713]
precision
0.753762 [0.760976,0.746479]
precision
0.813529 [0.820388,0.806604]
precision
0.803828 [0.804762,0.802885]
precision
0.789474 [0.790476,0.788462]
precision
0.792057 [0.8,0.784038]
precision
0.747956 [0.768041,0.727679]
precision
0.770774 [0.782178,0.759259]
precision
0.825451 [0.854167,0.79646]
precision
0.763695 [0.776119,0.751152]
precision
0.794728 [0.806931,0.782407]
precision
0.782433 [0.776744,0.788177]
precision
0.744633 [0.733032,0.756345]
precision
0.772012 [0.793814,0.75]
precision
0.773542 [0.788945,0.757991]
precision
0.80448 [0.790909,0.818182]
precision
0.770526 [0.763889,0.777228]
precision
0.774456 [0.753304,0.795812]
precision
0.799061 [0.79717,0.800971]
precision
0.782298 [0.781991,0.782609]
precision
0.784813 [0.791262,0.778302]
precision
0.773281 [0.78607,0.760369]
precision
0.799171 [0.805825,0.792453]
precision
0.79194 [0.797101,0.78673]
precision
0.797526 [0.81407,0.780822]
precision
0.815792 [0.815166,0.816425]
precision
0.777859 [0.788177,0.767442]
precision
0.772739 [0.77512,0.770335]
precision
0.780597 [0.795,0.766055]
precision
0.794258 [0.795238,0.793269]
precision
0.794295 [0.798077,0.790476]
precision
0.801631 [0.809756,0.793427]
precision
0.770526 [0.763889,0.777228]
precision
0.780027 [0.786408,0.773585]
precision
0.780027 [0.786408,0.773585]
precision
0.773542 [0.788945,0.757991]
precision
0.787438 [0.79803,0.776744]
precision
0.772734 [0.774038,0.771429]
precision
0.799134 [0.794393,0.803922]
precision
0.782458 [0.789216,0.775701]
precision
0.796726 [0.801932,0.791469]
precision
0.801955 [0.789954,0.81407]
precision
0.800879 [0.824742,0.776786]
precision
0.787141 [0.791262,0.783019]
precision
0.790489 [0.808081,0.772727]
precision
0.770903 [0.759091,0.782828]
precision
0.804079 [0.819095,0.788991]
precision
0.786351 [0.811518,0.761062]
precision
0.796168 [0.795238,0.797101]
precision
0.795128 [0.815385,0.774775]
precision
0.806633 [0.823232,0.789954]
precision
0.780677 [0.8,0.761261]
precision
0.803478 [0.809756,0.79717]
precision
0.793852 [0.821053,0.76652]
precision
0.811735 [0.792793,0.830769]
precision
0.786877 [0.777778,0.79602]
precision
0.794713 [0.778281,0.811224]
precision
0.82845 [0.847716,0.809091]
precision
0.779397 [0.777251,0.781553]
precision
0.784194 [0.781991,0.786408]
precision
0.767433 [0.764151,0.770732]
precision
0.784173 [0.784689,0.783654]
precision
0.777043 [0.781553,0.772512]
precision
0.743659 [0.736111,0.751244]
precision
0.779397 [0.777251,0.781553]
precision
0.769784 [0.770335,0.769231]
precision
0.789659 [0.80402,0.775229]
precision
0.789066 [0.784038,0.794118]
precision
0.78853 [0.8125,0.764444]
precision
0.793797 [0.797101,0.790476]
precision
0.791547 [0.79902,0.784038]
precision
0.804763 [0.825641,0.783784]
precision
0.793787 [0.791469,0.796117]
precision
0.811112 [0.798165,0.824121]
precision
0.793864 [0.788732,0.79902]
precision
0.775006 [0.78607,0.763889]
predictive_accuracy
0.803828
predictive_accuracy
0.789474
predictive_accuracy
0.772727
predictive_accuracy
0.799043
predictive_accuracy
0.796651
predictive_accuracy
0.784689
predictive_accuracy
0.808612
predictive_accuracy
0.803828
predictive_accuracy
0.777512
predictive_accuracy
0.815789
predictive_accuracy
0.772727
predictive_accuracy
0.801435
predictive_accuracy
0.753589
predictive_accuracy
0.832536
predictive_accuracy
0.779904
predictive_accuracy
0.779904
predictive_accuracy
0.772727
predictive_accuracy
0.767943
predictive_accuracy
0.782297
predictive_accuracy
0.763158
predictive_accuracy
0.856459
predictive_accuracy
0.799043
predictive_accuracy
0.80622
predictive_accuracy
0.779904
predictive_accuracy
0.791866
predictive_accuracy
0.753589
predictive_accuracy
0.813397
predictive_accuracy
0.803828
predictive_accuracy
0.789474
predictive_accuracy
0.791866
predictive_accuracy
0.746411
predictive_accuracy
0.770335
predictive_accuracy
0.822967
predictive_accuracy
0.763158
predictive_accuracy
0.794258
predictive_accuracy
0.782297
predictive_accuracy
0.744019
predictive_accuracy
0.770335
predictive_accuracy
0.772727
predictive_accuracy
0.803828
predictive_accuracy
0.770335
predictive_accuracy
0.772727
predictive_accuracy
0.799043
predictive_accuracy
0.782297
predictive_accuracy
0.784689
predictive_accuracy
0.772727
predictive_accuracy
0.799043
predictive_accuracy
0.791866
predictive_accuracy
0.796651
predictive_accuracy
0.815789
predictive_accuracy
0.777512
predictive_accuracy
0.772727
predictive_accuracy
0.779904
predictive_accuracy
0.794258
predictive_accuracy
0.794258
predictive_accuracy
0.801435
predictive_accuracy
0.770335
predictive_accuracy
0.779904
predictive_accuracy
0.779904
predictive_accuracy
0.772727
predictive_accuracy
0.787081
predictive_accuracy
0.772727
predictive_accuracy
0.799043
predictive_accuracy
0.782297
predictive_accuracy
0.796651
predictive_accuracy
0.801435
predictive_accuracy
0.799043
predictive_accuracy
0.787081
predictive_accuracy
0.789474
predictive_accuracy
0.770335
predictive_accuracy
0.803357
predictive_accuracy
0.784173
predictive_accuracy
0.796163
predictive_accuracy
0.793765
predictive_accuracy
0.805755
predictive_accuracy
0.779376
predictive_accuracy
0.803357
predictive_accuracy
0.791367
predictive_accuracy
0.810552
predictive_accuracy
0.786571
predictive_accuracy
0.793765
predictive_accuracy
0.827338
predictive_accuracy
0.779376
predictive_accuracy
0.784173
predictive_accuracy
0.767386
predictive_accuracy
0.784173
predictive_accuracy
0.776978
predictive_accuracy
0.743405
predictive_accuracy
0.779376
predictive_accuracy
0.769784
predictive_accuracy
0.788969
predictive_accuracy
0.788969
predictive_accuracy
0.786571
predictive_accuracy
0.793765
predictive_accuracy
0.791367
predictive_accuracy
0.803357
predictive_accuracy
0.793765
predictive_accuracy
0.810552
predictive_accuracy
0.793765
predictive_accuracy
0.77458
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 [0.770335,0.837321]
recall
0.789474 [0.771429,0.807692]
recall
0.772727 [0.755981,0.789474]
recall
0.799043 [0.780952,0.817308]
recall
0.796651 [0.770335,0.822967]
recall
0.784689 [0.76555,0.803828]
recall
0.808612 [0.779904,0.837321]
recall
0.803828 [0.795238,0.8125]
recall
0.777512 [0.799043,0.755981]
recall
0.815789 [0.789474,0.842105]
recall
0.772727 [0.771429,0.774038]
recall
0.801435 [0.771429,0.831731]
recall
0.753589 [0.747619,0.759615]
recall
0.832536 [0.819048,0.846154]
recall
0.779904 [0.804762,0.754808]
recall
0.779904 [0.790476,0.769231]
recall
0.772727 [0.790476,0.754808]
recall
0.767943 [0.761905,0.774038]
recall
0.782297 [0.733333,0.831731]
recall
0.763158 [0.714286,0.8125]
recall
0.856459 [0.861905,0.850962]
recall
0.799043 [0.809524,0.788462]
recall
0.80622 [0.833333,0.778846]
recall
0.779904 [0.785714,0.774038]
recall
0.791866 [0.757143,0.826923]
recall
0.753589 [0.742857,0.764423]
recall
0.813397 [0.804762,0.822115]
recall
0.803828 [0.804762,0.802885]
recall
0.789474 [0.790476,0.788462]
recall
0.791866 [0.780952,0.802885]
recall
0.746411 [0.709524,0.783654]
recall
0.770335 [0.752381,0.788462]
recall
0.822967 [0.780952,0.865385]
recall
0.763158 [0.742857,0.783654]
recall
0.794258 [0.77619,0.8125]
recall
0.782297 [0.795238,0.769231]
recall
0.744019 [0.771429,0.716346]
recall
0.770335 [0.733333,0.807692]
recall
0.772727 [0.747619,0.798077]
recall
0.803828 [0.828571,0.778846]
recall
0.770335 [0.785714,0.754808]
recall
0.772727 [0.814286,0.730769]
recall
0.799043 [0.804762,0.793269]
recall
0.782297 [0.785714,0.778846]
recall
0.784689 [0.77619,0.793269]
recall
0.772727 [0.752381,0.793269]
recall
0.799043 [0.790476,0.807692]
recall
0.791866 [0.785714,0.798077]
recall
0.796651 [0.771429,0.822115]
recall
0.815789 [0.819048,0.8125]
recall
0.777512 [0.761905,0.793269]
recall
0.772727 [0.771429,0.774038]
recall
0.779904 [0.757143,0.802885]
recall
0.794258 [0.795238,0.793269]
recall
0.794258 [0.790476,0.798077]
recall
0.801435 [0.790476,0.8125]
recall
0.770335 [0.785714,0.754808]
recall
0.779904 [0.771429,0.788462]
recall
0.779904 [0.771429,0.788462]
recall
0.772727 [0.747619,0.798077]
recall
0.787081 [0.771429,0.802885]
recall
0.772727 [0.770335,0.77512]
recall
0.799043 [0.809524,0.788462]
recall
0.782297 [0.770335,0.794258]
recall
0.796651 [0.790476,0.802885]
recall
0.801435 [0.82381,0.778846]
recall
0.799043 [0.761905,0.836538]
recall
0.787081 [0.779904,0.794258]
recall
0.789474 [0.761905,0.817308]
recall
0.770335 [0.795238,0.745192]
recall
0.803357 [0.779904,0.826923]
recall
0.784173 [0.741627,0.826923]
recall
0.796163 [0.799043,0.793269]
recall
0.793765 [0.760766,0.826923]
recall
0.805755 [0.779904,0.831731]
recall
0.779376 [0.746411,0.8125]
recall
0.803357 [0.794258,0.8125]
recall
0.791367 [0.746411,0.836538]
recall
0.810552 [0.842105,0.778846]
recall
0.786571 [0.803828,0.769231]
recall
0.793765 [0.822967,0.764423]
recall
0.827338 [0.799043,0.855769]
recall
0.779376 [0.784689,0.774038]
recall
0.784173 [0.789474,0.778846]
recall
0.767386 [0.77512,0.759615]
recall
0.784173 [0.784689,0.783654]
recall
0.776978 [0.770335,0.783654]
recall
0.743405 [0.760766,0.725962]
recall
0.779376 [0.784689,0.774038]
recall
0.769784 [0.770335,0.769231]
recall
0.788969 [0.76555,0.8125]
recall
0.788969 [0.799043,0.778846]
recall
0.786571 [0.746411,0.826923]
recall
0.793765 [0.789474,0.798077]
recall
0.791367 [0.779904,0.802885]
recall
0.803357 [0.770335,0.836538]
recall
0.793765 [0.799043,0.788462]
recall
0.810552 [0.832536,0.788462]
recall
0.793765 [0.803828,0.783654]
recall
0.77458 [0.755981,0.793269]
relative_absolute_error
0.555979
relative_absolute_error
0.570917
relative_absolute_error
0.59007
relative_absolute_error
0.563267
relative_absolute_error
0.565451
relative_absolute_error
0.57992
relative_absolute_error
0.559806
relative_absolute_error
0.566131
relative_absolute_error
0.572434
relative_absolute_error
0.550025
relative_absolute_error
0.587932
relative_absolute_error
0.554108
relative_absolute_error
0.615334
relative_absolute_error
0.51487
relative_absolute_error
0.59356
relative_absolute_error
0.584007
relative_absolute_error
0.569226
relative_absolute_error
0.599278
relative_absolute_error
0.584844
relative_absolute_error
0.604671
relative_absolute_error
0.517667
relative_absolute_error
0.571603
relative_absolute_error
0.560992
relative_absolute_error
0.57651
relative_absolute_error
0.587108
relative_absolute_error
0.633405
relative_absolute_error
0.536388
relative_absolute_error
0.597051
relative_absolute_error
0.55839
relative_absolute_error
0.589558
relative_absolute_error
0.617456
relative_absolute_error
0.599563
relative_absolute_error
0.545628
relative_absolute_error
0.613095
relative_absolute_error
0.573546
relative_absolute_error
0.582723
relative_absolute_error
0.623226
relative_absolute_error
0.594307
relative_absolute_error
0.614943
relative_absolute_error
0.554554
relative_absolute_error
0.609832
relative_absolute_error
0.580499
relative_absolute_error
0.564389
relative_absolute_error
0.59636
relative_absolute_error
0.591601
relative_absolute_error
0.592944
relative_absolute_error
0.579149
relative_absolute_error
0.579642
relative_absolute_error
0.55953
relative_absolute_error
0.533445
relative_absolute_error
0.593707
relative_absolute_error
0.596666
relative_absolute_error
0.583785
relative_absolute_error
0.552387
relative_absolute_error
0.56819
relative_absolute_error
0.550966
relative_absolute_error
0.591437
relative_absolute_error
0.574371
relative_absolute_error
0.593189
relative_absolute_error
0.609552
relative_absolute_error
0.586479
relative_absolute_error
0.609132
relative_absolute_error
0.554668
relative_absolute_error
0.583757
relative_absolute_error
0.541789
relative_absolute_error
0.544109
relative_absolute_error
0.570329
relative_absolute_error
0.56946
relative_absolute_error
0.582195
relative_absolute_error
0.581455
relative_absolute_error
0.557346
relative_absolute_error
0.582714
relative_absolute_error
0.578496
relative_absolute_error
0.580504
relative_absolute_error
0.579679
relative_absolute_error
0.593304
relative_absolute_error
0.581545
relative_absolute_error
0.545717
relative_absolute_error
0.56267
relative_absolute_error
0.577597
relative_absolute_error
0.555971
relative_absolute_error
0.548775
relative_absolute_error
0.590076
relative_absolute_error
0.602192
relative_absolute_error
0.603253
relative_absolute_error
0.575219
relative_absolute_error
0.603846
relative_absolute_error
0.6142
relative_absolute_error
0.57485
relative_absolute_error
0.599818
relative_absolute_error
0.593438
relative_absolute_error
0.568582
relative_absolute_error
0.590764
relative_absolute_error
0.574861
relative_absolute_error
0.551572
relative_absolute_error
0.529365
relative_absolute_error
0.56153
relative_absolute_error
0.539661
relative_absolute_error
0.560799
relative_absolute_error
0.574442
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
0.36978
root_mean_squared_error
0.384771
root_mean_squared_error
0.39179
root_mean_squared_error
0.374651
root_mean_squared_error
0.373733
root_mean_squared_error
0.389485
root_mean_squared_error
0.377362
root_mean_squared_error
0.384549
root_mean_squared_error
0.379935
root_mean_squared_error
0.357953
root_mean_squared_error
0.391025
root_mean_squared_error
0.377527
root_mean_squared_error
0.405116
root_mean_squared_error
0.345156
root_mean_squared_error
0.392846
root_mean_squared_error
0.386062
root_mean_squared_error
0.380816
root_mean_squared_error
0.388787
root_mean_squared_error
0.391428
root_mean_squared_error
0.402866
root_mean_squared_error
0.343233
root_mean_squared_error
0.373177
root_mean_squared_error
0.369716
root_mean_squared_error
0.388313
root_mean_squared_error
0.385531
root_mean_squared_error
0.412119
root_mean_squared_error
0.36552
root_mean_squared_error
0.388256
root_mean_squared_error
0.379764
root_mean_squared_error
0.391357
root_mean_squared_error
0.404565
root_mean_squared_error
0.395382
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