413890
2
Joaquin Vanschoren
4280
Supervised Classification
predictive_accuracy
1188
weka.END_ND_J48(3)
2039
weka.classifiers.meta.END -- -S 1 -I 10 -W weka.classifiers.meta.nestedDichotomies.ND -- -S 1 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2
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1068
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1068
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1
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10
1188
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weka.classifiers.meta.nestedDichotomies.ND
1188
S
1
1189
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weka.classifiers.trees.J48
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weka
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682
sleuth_ex2016
https://www.openml.org/data/download/52982/sleuth_ex2016.arff
-1
1443012
description
https://api.openml.org/data/download/1443012/weka_generated_run3132505494391879145.xml
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model_readable
https://api.openml.org/data/download/1443015/WekaModel_weka.classifiers.meta.END4954407578454071584.model
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model_serialized
https://api.openml.org/data/download/1443014/WekaSerialized_weka.classifiers.meta.END2416020828690003659.model
-1
1443013
predictions
https://api.openml.org/data/download/1443013/weka_generated_predictions5705958449443429766.arff
area_under_roc_curve
0.610961 [0.610961,0.610961]
average_cost
0
f_measure
0.656062 [0.701789,0.591281]
kappa
0.293258
kb_relative_information_score
199.659975
mean_absolute_error
0.3768
mean_prior_absolute_error
0.485471
number_of_instances
870 [510,360]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.657288 [0.711694,0.580214]
predictive_accuracy
0.655172
prior_entropy
0.979412
recall
0.655172 [0.692157,0.602778]
relative_absolute_error
0.776155
root_mean_prior_squared_error
0.492516
root_mean_squared_error
0.552415
root_relative_squared_error
1.121617
scimark_benchmark
922.823156 [534.715120358964, 988.6890749395138, 473.43116282050204, 886.8200001693772, 1730.4604232226736]
total_cost
0
usercpu_time_millis
10
usercpu_time_millis_testing
0
usercpu_time_millis_training
10
area_under_roc_curve
0.525 [0.525,0.525]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.583333 [0.583333,0.583333]
area_under_roc_curve
0.805556 [0.805556,0.805556]
area_under_roc_curve
0.722222 [0.722222,0.722222]
area_under_roc_curve
0.275 [0.275,0.275]
area_under_roc_curve
0.611111 [0.611111,0.611111]
area_under_roc_curve
0.325 [0.325,0.325]
area_under_roc_curve
0.527778 [0.527778,0.527778]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.575 [0.575,0.575]
area_under_roc_curve
0.4 [0.4,0.4]
area_under_roc_curve
0.775 [0.775,0.775]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.425 [0.425,0.425]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.325 [0.325,0.325]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.775 [0.775,0.775]
area_under_roc_curve
0.25 [0.25,0.25]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.325 [0.325,0.325]
area_under_roc_curve
0.425 [0.425,0.425]
area_under_roc_curve
0.85 [0.85,0.85]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.475 [0.475,0.475]
area_under_roc_curve
0.925 [0.925,0.925]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.675 [0.675,0.675]
area_under_roc_curve
0.425 [0.425,0.425]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.525 [0.525,0.525]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.925 [0.925,0.925]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.825 [0.825,0.825]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.925 [0.925,0.925]
area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.45 [0.45,0.45]
area_under_roc_curve
0.85 [0.85,0.85]
area_under_roc_curve
0.611111 [0.611111,0.611111]
area_under_roc_curve
0.45 [0.45,0.45]
area_under_roc_curve
0.333333 [0.333333,0.333333]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.825 [0.825,0.825]
area_under_roc_curve
0.416667 [0.416667,0.416667]
area_under_roc_curve
0.775 [0.775,0.775]
area_under_roc_curve
0.633333 [0.633333,0.633333]
area_under_roc_curve
0.533333 [0.533333,0.533333]
area_under_roc_curve
0.266667 [0.266667,0.266667]
area_under_roc_curve
0.3 [0.3,0.3]
area_under_roc_curve
0.433333 [0.433333,0.433333]
area_under_roc_curve
0.133333 [0.133333,0.133333]
area_under_roc_curve
0.966667 [0.966667,0.966667]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.766667 [0.766667,0.766667]
area_under_roc_curve
0.433333 [0.433333,0.433333]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.7 [0.7,0.7]
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0.6 [0.6,0.6]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.633333 [0.633333,0.633333]
area_under_roc_curve
0.733333 [0.733333,0.733333]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.266667 [0.266667,0.266667]
area_under_roc_curve
0.466667 [0.466667,0.466667]
area_under_roc_curve
0.466667 [0.466667,0.466667]
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0.666667 [0.666667,0.666667]
area_under_roc_curve
0.433333 [0.433333,0.433333]
area_under_roc_curve
0.633333 [0.633333,0.633333]
area_under_roc_curve
0.866667 [0.866667,0.866667]
area_under_roc_curve
0.433333 [0.433333,0.433333]
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f_measure
0.666667 [0.666667,0.666667]
f_measure
0.675325 [0.727273,0.571429]
f_measure
0.544444 [0.5,0.6]
f_measure
0.646154 [0.769231,0.4]
f_measure
0.777778 [0.833333,0.666667]
f_measure
0.566667 [0.6,0.5]
f_measure
0.316667 [0.25,0.4]
f_measure
0.566667 [0.6,0.5]
f_measure
0.333333 [0.4,0.25]
f_measure
0.675325 [0.727273,0.571429]
f_measure
0.555556 [0.6,0.5]
f_measure
0.658009 [0.727273,0.571429]
f_measure
0.481481 [0.333333,0.666667]
f_measure
0.777778 [0.8,0.75]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.518519 [0.666667,0.333333]
f_measure
0.544444 [0.5,0.6]
f_measure
0.886003 [0.909091,0.857143]
f_measure
0.518519 [0.666667,0.333333]
f_measure
0.518519 [0.666667,0.333333]
f_measure
0.658009 [0.727273,0.571429]
f_measure
0.772222 [0.75,0.8]
f_measure
0.777778 [0.8,0.75]
f_measure
0.605128 [0.769231,0.4]
f_measure
0.759259 [0.833333,0.666667]
f_measure
0.886003 [0.909091,0.857143]
f_measure
0.444444 [0.444444,0.444444]
f_measure
0.430014 [0.545455,0.285714]
f_measure
0.640693 [0.571429,0.727273]
f_measure
0.666667 [0.666667,0.666667]
f_measure
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f_measure
0.658009 [0.727273,0.571429]
f_measure
0.396825 [0.714286,0]
f_measure
0.772222 [0.75,0.8]
f_measure
0.605128 [0.769231,0.4]
f_measure
1 [1,1]
f_measure
0.886003 [0.909091,0.857143]
f_measure
0.555556 [0.6,0.5]
f_measure
0.777778 [0.8,0.75]
f_measure
0.401154 [0.285714,0.545455]
f_measure
0.658009 [0.727273,0.571429]
f_measure
0.759259 [0.833333,0.666667]
f_measure
0.555556 [0.6,0.5]
f_measure
0.759259 [0.833333,0.666667]
f_measure
0.555556 [0.6,0.5]
f_measure
0.555556 [0.6,0.5]
f_measure
0.759259 [0.833333,0.666667]
f_measure
0.888889 [0.888889,0.888889]
f_measure
0.658009 [0.727273,0.571429]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.777778 [0.8,0.75]
f_measure
0.518519 [0.666667,0.333333]
f_measure
0.886003 [0.909091,0.857143]
f_measure
0.544444 [0.5,0.6]
f_measure
0.777778 [0.8,0.75]
f_measure
0.658009 [0.727273,0.571429]
f_measure
0.658009 [0.727273,0.571429]
f_measure
0.658009 [0.727273,0.571429]
f_measure
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f_measure
0.759259 [0.833333,0.666667]
f_measure
0.675325 [0.727273,0.571429]
f_measure
0.444444 [0.444444,0.444444]
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
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kb_relative_information_score
4.865505
kb_relative_information_score
2.534056
kb_relative_information_score
3.826855
kb_relative_information_score
1.657649
kb_relative_information_score
6.34822
kb_relative_information_score
-0.295644
kb_relative_information_score
2.460457
kb_relative_information_score
1.583183
kb_relative_information_score
0.941614
kb_relative_information_score
-0.444747
kb_relative_information_score
-1.065463
kb_relative_information_score
-0.566785
kb_relative_information_score
-1.037611
kb_relative_information_score
5.162079
kb_relative_information_score
2.148834
kb_relative_information_score
3.17244
kb_relative_information_score
3.089059
kb_relative_information_score
1.046879
kb_relative_information_score
0.812406
kb_relative_information_score
1.583183
kb_relative_information_score
1.291176
kb_relative_information_score
2.595381
kb_relative_information_score
5.752163
kb_relative_information_score
1.236189
kb_relative_information_score
2.991984
kb_relative_information_score
3.290912
kb_relative_information_score
3.320679
kb_relative_information_score
3.197625
kb_relative_information_score
-0.727976
kb_relative_information_score
1.211737
kb_relative_information_score
0.758857
kb_relative_information_score
0.447847
kb_relative_information_score
1.76814
kb_relative_information_score
-0.633308
kb_relative_information_score
0.480947
kb_relative_information_score
3.667673
kb_relative_information_score
1.311048
mean_absolute_error
0.385965
mean_absolute_error
0.346914
mean_absolute_error
0.428679
mean_absolute_error
0.378378
mean_absolute_error
0.233333
mean_absolute_error
0.416667
mean_absolute_error
0.665692
mean_absolute_error
0.456456
mean_absolute_error
0.666667
mean_absolute_error
0.369157
mean_absolute_error
0.433333
mean_absolute_error
0.371429
mean_absolute_error
0.483463
mean_absolute_error
0.25731
mean_absolute_error
0.376543
mean_absolute_error
0.5
mean_absolute_error
0.468652
mean_absolute_error
0.126984
mean_absolute_error
0.453968
mean_absolute_error
0.48254
mean_absolute_error
0.333333
mean_absolute_error
0.314886
mean_absolute_error
0.250877
mean_absolute_error
0.449735
mean_absolute_error
0.301127
mean_absolute_error
0.173898
mean_absolute_error
0.577778
mean_absolute_error
0.555556
mean_absolute_error
0.32037
mean_absolute_error
0.389489
mean_absolute_error
0.373722
mean_absolute_error
0.383918
mean_absolute_error
0.456456
mean_absolute_error
0.276153
mean_absolute_error
0.388479
mean_absolute_error
0.104056
mean_absolute_error
0.19716
mean_absolute_error
0.45098
mean_absolute_error
0.329405
mean_absolute_error
0.555556
mean_absolute_error
0.376543
mean_absolute_error
0.28314
mean_absolute_error
0.444444
mean_absolute_error
0.285009
mean_absolute_error
0.456456
mean_absolute_error
0.436111
mean_absolute_error
0.277778
mean_absolute_error
0.184536
mean_absolute_error
0.35249
mean_absolute_error
0.403704
mean_absolute_error
0.279453
mean_absolute_error
0.433333
mean_absolute_error
0.185965
mean_absolute_error
0.458689
mean_absolute_error
0.258025
mean_absolute_error
0.343915
mean_absolute_error
0.393651
mean_absolute_error
0.390351
mean_absolute_error
0.478363
mean_absolute_error
0.260606
mean_absolute_error
0.377287
mean_absolute_error
0.54321
mean_absolute_error
0.603704
mean_absolute_error
0.229167
mean_absolute_error
0.357691
mean_absolute_error
0.301455
mean_absolute_error
0.383934
mean_absolute_error
0.160909
mean_absolute_error
0.485714
mean_absolute_error
0.362573
mean_absolute_error
0.375
mean_absolute_error
0.425676
mean_absolute_error
0.497059
mean_absolute_error
0.542614
mean_absolute_error
0.505435
mean_absolute_error
0.542857
mean_absolute_error
0.171875
mean_absolute_error
0.368421
mean_absolute_error
0.2875
mean_absolute_error
0.295745
mean_absolute_error
0.417857
mean_absolute_error
0.431694
mean_absolute_error
0.375
mean_absolute_error
0.398574
mean_absolute_error
0.334886
mean_absolute_error
0.125
mean_absolute_error
0.402778
mean_absolute_error
0.302778
mean_absolute_error
0.28125
mean_absolute_error
0.277778
mean_absolute_error
0.2875
mean_absolute_error
0.51875
mean_absolute_error
0.406015
mean_absolute_error
0.434524
mean_absolute_error
0.464286
mean_absolute_error
0.361905
mean_absolute_error
0.510714
mean_absolute_error
0.429072
mean_absolute_error
0.25
mean_absolute_error
0.397059
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.47191
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.47191
mean_prior_absolute_error
0.47191
mean_prior_absolute_error
0.47191
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.47191
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.47191
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.47191
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.47191
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.47191
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.47191
mean_prior_absolute_error
0.490637
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
0.478933
mean_prior_absolute_error
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number_of_instances
9 [5,4]
number_of_instances
9 [6,3]
number_of_instances
9 [5,4]
number_of_instances
9 [6,3]
number_of_instances
9 [6,3]
number_of_instances
9 [6,3]
number_of_instances
9 [5,4]
number_of_instances
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number_of_instances
9 [5,4]
number_of_instances
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number_of_instances
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number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
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number_of_instances
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number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
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number_of_instances
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number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
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number_of_instances
9 [5,4]
number_of_instances
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number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [6,3]
number_of_instances
9 [5,4]
number_of_instances
9 [6,3]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [5,4]
number_of_instances
9 [6,3]
number_of_instances
9 [5,4]
number_of_instances
9 [6,3]
number_of_instances
9 [5,4]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
number_of_instances
8 [5,3]
precision
0.683333 [0.75,0.6]
precision
0.7 [0.8,0.5]
precision
0.592593 [0.666667,0.5]
precision
0.642857 [0.714286,0.5]
precision
0.777778 [0.833333,0.666667]
precision
0.633333 [0.75,0.4]
precision
0.333333 [0.333333,0.333333]
precision
0.633333 [0.75,0.4]
precision
0.333333 [0.4,0.25]
precision
0.7 [0.8,0.5]
precision
0.555556 [0.6,0.5]
precision
0.666667 [0.666667,0.666667]
precision
0.777778 [1,0.5]
precision
0.777778 [0.8,0.75]
precision
0.683333 [0.75,0.6]
precision
0.539683 [0.571429,0.5]
precision
0.592593 [0.666667,0.5]
precision
0.907407 [0.833333,1]
precision
0.539683 [0.571429,0.5]
precision
0.539683 [0.571429,0.5]
precision
0.666667 [0.666667,0.666667]
precision
0.851852 [1,0.666667]
precision
0.777778 [0.8,0.75]
precision
0.791667 [0.625,1]
precision
0.84127 [0.714286,1]
precision
0.907407 [0.833333,1]
precision
0.455556 [0.5,0.4]
precision
0.425926 [0.5,0.333333]
precision
0.809524 [1,0.571429]
precision
0.683333 [0.75,0.6]
precision
0.809524 [1,0.571429]
precision
0.666667 [0.666667,0.666667]
precision
0.308642 [0.555556,0]
precision
0.851852 [1,0.666667]
precision
0.791667 [0.625,1]
precision
1 [1,1]
precision
0.907407 [0.833333,1]
precision
0.555556 [0.6,0.5]
precision
0.777778 [0.8,0.75]
precision
0.468254 [0.5,0.428571]
precision
0.666667 [0.666667,0.666667]
precision
0.84127 [0.714286,1]
precision
0.555556 [0.6,0.5]
precision
0.84127 [0.714286,1]
precision
0.555556 [0.6,0.5]
precision
0.555556 [0.6,0.5]
precision
0.84127 [0.714286,1]
precision
0.911111 [1,0.8]
precision
0.666667 [0.666667,0.666667]
precision
0.683333 [0.75,0.6]
precision
0.777778 [0.8,0.75]
precision
0.539683 [0.571429,0.5]
precision
0.907407 [0.833333,1]
precision
0.592593 [0.666667,0.5]
precision
0.777778 [0.8,0.75]
precision
0.666667 [0.666667,0.666667]
precision
0.666667 [0.666667,0.666667]
precision
0.666667 [0.666667,0.666667]
precision
0.555556 [0.6,0.5]
precision
0.84127 [0.714286,1]
precision
0.7 [0.8,0.5]
precision
0.455556 [0.5,0.4]
precision
0.266667 [0.4,0]
precision
0.777778 [0.8,0.75]
precision
0.683333 [0.75,0.6]
precision
0.851852 [1,0.666667]
precision
0.833333 [1,0.5]
precision
0.911111 [1,0.8]
precision
0.633333 [0.75,0.4]
precision
0.809524 [1,0.571429]
precision
0.65625 [0.75,0.5]
precision
0.65625 [0.75,0.5]
precision
0.357143 [0.571429,0]
precision
0.5 [0.6,0.333333]
precision
0.566667 [0.666667,0.4]
precision
0.357143 [0.571429,0]
precision
0.90625 [1,0.75]
precision
0.85 [1,0.6]
precision
0.75 [0.8,0.666667]
precision
0.75 [0.8,0.666667]
precision
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precision
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precision
0.8125 [1,0.5]
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precision
0.85 [1,0.6]
precision
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precision
0.65625 [0.75,0.5]
precision
0.75 [0.8,0.666667]
precision
0.85 [1,0.6]
precision
0.75 [0.8,0.666667]
precision
0.75 [0.8,0.666667]
precision
0.5 [0.6,0.333333]
precision
0.604167 [0.666667,0.5]
precision
0.604167 [0.666667,0.5]
precision
0.390625 [0.625,0]
precision
0.65625 [0.75,0.5]
precision
0.5 [0.6,0.333333]
precision
0.5 [0.6,0.333333]
precision
0.75 [0.8,0.666667]
precision
0.390625 [0.625,0]
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.5
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.75
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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0.625
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0.75
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.5
predictive_accuracy
0.625
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0.625
predictive_accuracy
0.625
predictive_accuracy
0.625
predictive_accuracy
0.5
predictive_accuracy
0.5
predictive_accuracy
0.75
predictive_accuracy
0.625
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
prior_entropy
0.979412
recall
0.666667 [0.6,0.75]
recall
0.666667 [0.666667,0.666667]
recall
0.555556 [0.4,0.75]
recall
0.666667 [0.833333,0.333333]
recall
0.777778 [0.833333,0.666667]
recall
0.555556 [0.5,0.666667]
recall
0.333333 [0.2,0.5]
recall
0.555556 [0.5,0.666667]
recall
0.333333 [0.4,0.25]
recall
0.666667 [0.666667,0.666667]
recall
0.555556 [0.6,0.5]
recall
0.666667 [0.8,0.5]
recall
0.555556 [0.2,1]
recall
0.777778 [0.8,0.75]
recall
0.666667 [0.6,0.75]
recall
0.555556 [0.8,0.25]
recall
0.555556 [0.4,0.75]
recall
0.888889 [1,0.75]
recall
0.555556 [0.8,0.25]
recall
0.555556 [0.8,0.25]
recall
0.666667 [0.8,0.5]
recall
0.777778 [0.6,1]
recall
0.777778 [0.8,0.75]
recall
0.666667 [1,0.25]
recall
0.777778 [1,0.5]
recall
0.888889 [1,0.75]
recall
0.444444 [0.4,0.5]
recall
0.444444 [0.6,0.25]
recall
0.666667 [0.4,1]
recall
0.666667 [0.6,0.75]
recall
0.666667 [0.4,1]
recall
0.666667 [0.8,0.5]
recall
0.555556 [1,0]
recall
0.777778 [0.6,1]
recall
0.666667 [1,0.25]
recall
1 [1,1]
recall
0.888889 [1,0.75]
recall
0.555556 [0.6,0.5]
recall
0.777778 [0.8,0.75]
recall
0.444444 [0.2,0.75]
recall
0.666667 [0.8,0.5]
recall
0.777778 [1,0.5]
recall
0.555556 [0.6,0.5]
recall
0.777778 [1,0.5]
recall
0.555556 [0.6,0.5]
recall
0.555556 [0.6,0.5]
recall
0.777778 [1,0.5]
recall
0.888889 [0.8,1]
recall
0.666667 [0.8,0.5]
recall
0.666667 [0.6,0.75]
recall
0.777778 [0.8,0.75]
recall
0.555556 [0.8,0.25]
recall
0.888889 [1,0.75]
recall
0.555556 [0.4,0.75]
recall
0.777778 [0.8,0.75]
recall
0.666667 [0.8,0.5]
recall
0.666667 [0.8,0.5]
recall
0.666667 [0.8,0.5]
recall
0.555556 [0.6,0.5]
recall
0.777778 [1,0.5]
recall
0.666667 [0.666667,0.666667]
recall
0.444444 [0.4,0.5]
recall
0.222222 [0.333333,0]
recall
0.777778 [0.8,0.75]
recall
0.666667 [0.6,0.75]
recall
0.777778 [0.6,1]
recall
0.666667 [0.5,1]
recall
0.888889 [0.8,1]
recall
0.555556 [0.5,0.666667]
recall
0.666667 [0.4,1]
recall
0.625 [0.6,0.666667]
recall
0.625 [0.6,0.666667]
recall
0.5 [0.8,0]
recall
0.5 [0.6,0.333333]
recall
0.5 [0.4,0.666667]
recall
0.5 [0.8,0]
recall
0.875 [0.8,1]
recall
0.75 [0.6,1]
recall
0.75 [0.8,0.666667]
recall
0.75 [0.8,0.666667]
recall
0.625 [0.8,0.333333]
recall
0.625 [0.6,0.666667]
recall
0.625 [0.4,1]
recall
0.625 [0.6,0.666667]
recall
0.75 [0.6,1]
recall
0.875 [1,0.666667]
recall
0.625 [0.6,0.666667]
recall
0.75 [0.8,0.666667]
recall
0.75 [0.6,1]
recall
0.75 [0.8,0.666667]
recall
0.75 [0.8,0.666667]
recall
0.5 [0.6,0.333333]
recall
0.625 [0.8,0.333333]
recall
0.625 [0.8,0.333333]
recall
0.625 [1,0]
recall
0.625 [0.6,0.666667]
recall
0.5 [0.6,0.333333]
recall
0.5 [0.6,0.333333]
recall
0.75 [0.8,0.666667]
recall
0.625 [1,0]
relative_absolute_error
0.786661
relative_absolute_error
0.735127
relative_absolute_error
0.873719
relative_absolute_error
0.801802
relative_absolute_error
0.494444
relative_absolute_error
0.882937
relative_absolute_error
1.356792
relative_absolute_error
0.967253
relative_absolute_error
1.358779
relative_absolute_error
0.782261
relative_absolute_error
0.883206
relative_absolute_error
0.757034
relative_absolute_error
0.985379
relative_absolute_error
0.524441
relative_absolute_error
0.767458
relative_absolute_error
1.019084
relative_absolute_error
0.955192
relative_absolute_error
0.258815
relative_absolute_error
0.925263
relative_absolute_error
0.983497
relative_absolute_error
0.679389
relative_absolute_error
0.641791
relative_absolute_error
0.51133
relative_absolute_error
0.916636
relative_absolute_error
0.613748
relative_absolute_error
0.354433
relative_absolute_error
1.177608
relative_absolute_error
1.132316
relative_absolute_error
0.652969
relative_absolute_error
0.793845
relative_absolute_error
0.761708
relative_absolute_error
0.78249
relative_absolute_error
0.930335
relative_absolute_error
0.562847
relative_absolute_error
0.791786
relative_absolute_error
0.212084
relative_absolute_error
0.401845
relative_absolute_error
0.919174
relative_absolute_error
0.671383
relative_absolute_error
1.132316
relative_absolute_error
0.767458
relative_absolute_error
0.577087
relative_absolute_error
0.905852
relative_absolute_error
0.580896
relative_absolute_error
0.930335
relative_absolute_error
0.888868
relative_absolute_error
0.566158
relative_absolute_error
0.376114
relative_absolute_error
0.718435
relative_absolute_error
0.822816
relative_absolute_error
0.569573
relative_absolute_error
0.883206
relative_absolute_error
0.379028
relative_absolute_error
0.934886
relative_absolute_error
0.525898
relative_absolute_error
0.700957
relative_absolute_error
0.802327
relative_absolute_error
0.795601
relative_absolute_error
0.974983
relative_absolute_error
0.531159
relative_absolute_error
0.79949
relative_absolute_error
1.107153
relative_absolute_error
1.279277
relative_absolute_error
0.46708
relative_absolute_error
0.729034
relative_absolute_error
0.614416
relative_absolute_error
0.813574
relative_absolute_error
0.327959
relative_absolute_error
1.029252
relative_absolute_error
0.738985
relative_absolute_error
0.782991
relative_absolute_error
0.888801
relative_absolute_error
1.037847
relative_absolute_error
1.132965
relative_absolute_error
1.055336
relative_absolute_error
1.133473
relative_absolute_error
0.358871
relative_absolute_error
0.769255
relative_absolute_error
0.600293
relative_absolute_error
0.617509
relative_absolute_error
0.872476
relative_absolute_error
0.901366
relative_absolute_error
0.782991
relative_absolute_error
0.832214
relative_absolute_error
0.699235
relative_absolute_error
0.260997
relative_absolute_error
0.84099
relative_absolute_error
0.632193
relative_absolute_error
0.587243
relative_absolute_error
0.579993
relative_absolute_error
0.600294
relative_absolute_error
1.083138
relative_absolute_error
0.84775
relative_absolute_error
0.907275
relative_absolute_error
0.969417
relative_absolute_error
0.755649
relative_absolute_error
1.066359
relative_absolute_error
0.895892
relative_absolute_error
0.521994
relative_absolute_error
0.829049
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.478551
root_mean_prior_squared_error
0.497733
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_prior_squared_error
0.485833
root_mean_squared_error
0.584503
root_mean_squared_error
0.509613
root_mean_squared_error
0.612948
root_mean_squared_error
0.506569
root_mean_squared_error
0.432692
root_mean_squared_error
0.56544
root_mean_squared_error
0.752398
root_mean_squared_error
0.60129
root_mean_squared_error
0.816497
root_mean_squared_error
0.552957
root_mean_squared_error
0.631449
root_mean_squared_error
0.543316
root_mean_squared_error
0.626145
root_mean_squared_error
0.445213
root_mean_squared_error
0.535118
root_mean_squared_error
0.677003
root_mean_squared_error
0.612047
root_mean_squared_error
0.336718
root_mean_squared_error
0.640649
root_mean_squared_error
0.63669
root_mean_squared_error
0.57735
root_mean_squared_error
0.404578
root_mean_squared_error
0.431832
root_mean_squared_error
0.597509
root_mean_squared_error
0.475101
root_mean_squared_error
0.313779
root_mean_squared_error
0.708715
root_mean_squared_error
0.702728
root_mean_squared_error
0.527778
root_mean_squared_error
0.548208
root_mean_squared_error
0.58158
root_mean_squared_error
0.506235
root_mean_squared_error
0.617627
root_mean_squared_error
0.413896
root_mean_squared_error
0.537024
root_mean_squared_error
0.12971
root_mean_squared_error
0.308077
root_mean_squared_error
0.657667
root_mean_squared_error
0.477764
root_mean_squared_error
0.684985
root_mean_squared_error
0.500795
root_mean_squared_error
0.42265
root_mean_squared_error
0.666667
root_mean_squared_error
0.457963
root_mean_squared_error
0.60819
root_mean_squared_error
0.596222
root_mean_squared_error
0.481318
root_mean_squared_error
0.330484
root_mean_squared_error
0.552203
root_mean_squared_error
0.590773
root_mean_squared_error
0.423618
root_mean_squared_error
0.625324
root_mean_squared_error
0.310894
root_mean_squared_error
0.668035
root_mean_squared_error
0.451806
root_mean_squared_error
0.577786
root_mean_squared_error
0.532993
root_mean_squared_error
0.513297
root_mean_squared_error
0.655126
root_mean_squared_error
0.456254
root_mean_squared_error
0.545282
root_mean_squared_error
0.683674
root_mean_squared_error
0.687903
root_mean_squared_error
0.45786
root_mean_squared_error
0.52027
root_mean_squared_error
0.419181
root_mean_squared_error
0.57371
root_mean_squared_error
0.340923
root_mean_squared_error
0.664887
root_mean_squared_error
0.526326
root_mean_squared_error
0.543139
root_mean_squared_error
0.578769
root_mean_squared_error
0.64554
root_mean_squared_error
0.678107
root_mean_squared_error
0.671456
root_mean_squared_error
0.692526
root_mean_squared_error
0.32918
root_mean_squared_error
0.518361
root_mean_squared_error
0.468449
root_mean_squared_error
0.445571
root_mean_squared_error
0.585879
root_mean_squared_error
0.560994
root_mean_squared_error
0.514769
root_mean_squared_error
0.598461
root_mean_squared_error
0.470316
root_mean_squared_error
0.353553
root_mean_squared_error
0.522872
root_mean_squared_error
0.459233
root_mean_squared_error
0.459959
root_mean_squared_error
0.491679
root_mean_squared_error
0.455143
root_mean_squared_error
0.707769
root_mean_squared_error
0.557653
root_mean_squared_error
0.625652
root_mean_squared_error
0.6227
root_mean_squared_error
0.555038
root_mean_squared_error
0.664745
root_mean_squared_error
0.597739
root_mean_squared_error
0.44372
root_mean_squared_error
0.580277
root_relative_squared_error
1.17433
root_relative_squared_error
1.064907
root_relative_squared_error
1.231479
root_relative_squared_error
1.058547
root_relative_squared_error
0.90417
root_relative_squared_error
1.181565
root_relative_squared_error
1.511651
root_relative_squared_error
1.25648
root_relative_squared_error
1.640431
root_relative_squared_error
1.155481
root_relative_squared_error
1.268649
root_relative_squared_error
1.091582
root_relative_squared_error
1.257994
root_relative_squared_error
0.894482
root_relative_squared_error
1.07511
root_relative_squared_error
1.360174
root_relative_squared_error
1.22967
root_relative_squared_error
0.676502
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