385199
2
Joaquin Vanschoren
4215
Supervised Classification
predictive_accuracy
1244
weka.FilteredClassifier_Discretize_J48(4)
2166
weka.classifiers.meta.FilteredClassifier -- -F "weka.filters.supervised.attribute.Discretize -R first-last -precision 6" -W weka.classifiers.trees.J48 -- -C 0.25 -M 2
C
0.25
1068
M
2
1068
F
weka.filters.supervised.attribute.Discretize
1244
W
weka.classifiers.trees.J48
1244
R
first-last
1245
precision
6
1245
weka
weka_3.7.12
375
JapaneseVowels
https://www.openml.org/data/download/52415/JapaneseVowels.arff
-1
1343188
description
https://api.openml.org/data/download/1343188/weka_generated_run40463553468640482.xml
-1
1343191
model_readable
https://api.openml.org/data/download/1343191/WekaModel_weka.classifiers.meta.FilteredClassifier4581360384146296026.model
-1
1343190
model_serialized
https://api.openml.org/data/download/1343190/WekaSerialized_weka.classifiers.meta.FilteredClassifier1172989711208420755.model
-1
1343189
predictions
https://api.openml.org/data/download/1343189/weka_generated_predictions7720878667627034504.arff
area_under_roc_curve
0.925332 [0.917684,0.938566,0.944124,0.943294,0.938452,0.970713,0.951353,0.836899,0.859688]
average_cost
0
f_measure
0.775483 [0.747585,0.811434,0.832872,0.815862,0.792359,0.89675,0.845618,0.571153,0.586615]
kappa
0.747046
kb_relative_information_score
75737.542163
mean_absolute_error
0.058498
mean_prior_absolute_error
0.196178
number_of_instances
99610 [10960,9910,16140,14730,7820,9630,11700,10110,8610]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.774477 [0.736562,0.809356,0.826921,0.813276,0.789093,0.888165,0.841113,0.586074,0.608154]
predictive_accuracy
0.776769
prior_entropy
3.132137
recall
0.776769 [0.758942,0.813522,0.83891,0.818466,0.795652,0.905504,0.850171,0.556973,0.566551]
relative_absolute_error
0.298188
root_mean_prior_squared_error
0.313191
root_mean_squared_error
0.200436
root_relative_squared_error
0.639981
scimark_benchmark
933.45983 [540.5146083145181, 1010.9942233373424, 489.1761913564198, 900.5290236951702, 1726.0851055856206]
total_cost
0
usercpu_time_millis
190
usercpu_time_millis_testing
20
usercpu_time_millis_training
170
area_under_roc_curve
0.928287 [0.938187,0.934495,0.951065,0.926157,0.952242,0.98504,0.955891,0.831526,0.861467]
area_under_roc_curve
0.924367 [0.916957,0.915159,0.927955,0.942525,0.94071,0.97397,0.961616,0.848828,0.875373]
area_under_roc_curve
0.916885 [0.906436,0.941115,0.908261,0.946291,0.915732,0.956732,0.959368,0.854573,0.841013]
area_under_roc_curve
0.914612 [0.926735,0.935243,0.937987,0.907009,0.935437,0.952558,0.940302,0.849671,0.825371]
area_under_roc_curve
0.921106 [0.934452,0.921031,0.949787,0.936993,0.944251,0.958744,0.956886,0.818445,0.831708]
area_under_roc_curve
0.925807 [0.948053,0.940541,0.937223,0.935023,0.958462,0.96416,0.959771,0.825169,0.843672]
area_under_roc_curve
0.935618 [0.933631,0.934293,0.945344,0.965686,0.951808,0.959433,0.955541,0.871952,0.876733]
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
0.918096 [0.936612,0.918105,0.928865,0.949037,0.921262,0.97463,0.949044,0.803429,0.847757]
area_under_roc_curve
0.915136 [0.904145,0.939017,0.915704,0.94902,0.934124,0.966696,0.920821,0.843913,0.843847]
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
0.921274 [0.91378,0.952293,0.955458,0.952882,0.90254,0.968362,0.939388,0.847829,0.802798]
area_under_roc_curve
0.919778 [0.903053,0.913449,0.94594,0.952677,0.900473,0.979589,0.949297,0.848233,0.838078]
area_under_roc_curve
0.914682 [0.89584,0.931066,0.919568,0.93771,0.93772,0.969398,0.949428,0.808341,0.866586]
area_under_roc_curve
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area_under_roc_curve
0.923557 [0.898928,0.947924,0.963918,0.917198,0.962893,0.985966,0.963289,0.805504,0.841094]
area_under_roc_curve
0.927116 [0.922337,0.944045,0.958529,0.922069,0.932148,0.977141,0.960576,0.82015,0.882884]
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
0.91732 [0.889495,0.937087,0.939841,0.938022,0.923615,0.963235,0.952223,0.80921,0.874336]
area_under_roc_curve
0.926618 [0.932613,0.95396,0.951434,0.922919,0.928607,0.957575,0.954256,0.859843,0.851846]
area_under_roc_curve
0.923147 [0.925503,0.929451,0.947595,0.923944,0.90478,0.97184,0.968136,0.855706,0.846262]
area_under_roc_curve
0.935696 [0.919428,0.949996,0.936506,0.93916,0.950848,0.96923,0.956672,0.895243,0.90039]
area_under_roc_curve
0.938009 [0.939483,0.940002,0.961242,0.951768,0.945101,0.974902,0.966415,0.849101,0.884698]
area_under_roc_curve
0.93054 [0.893105,0.936168,0.935296,0.932898,0.97901,0.958281,0.958198,0.896604,0.886257]
area_under_roc_curve
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area_under_roc_curve
0.92674 [0.890632,0.956375,0.937103,0.917282,0.985909,0.987245,0.952462,0.841562,0.879955]
area_under_roc_curve
0.924588 [0.90966,0.947001,0.945248,0.932862,0.959276,0.980729,0.936753,0.821201,0.875562]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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kb_relative_information_score
746.153108
kb_relative_information_score
747.921717
kb_relative_information_score
751.717815
kb_relative_information_score
758.247978
kb_relative_information_score
776.576501
kb_relative_information_score
777.596554
kb_relative_information_score
777.992539
kb_relative_information_score
771.96622
kb_relative_information_score
763.121734
kb_relative_information_score
770.223412
kb_relative_information_score
755.459756
kb_relative_information_score
763.939875
kb_relative_information_score
744.526176
kb_relative_information_score
760.919777
kb_relative_information_score
753.458371
kb_relative_information_score
748.118273
kb_relative_information_score
759.665801
kb_relative_information_score
738.384463
kb_relative_information_score
748.108645
kb_relative_information_score
736.452148
kb_relative_information_score
773.258533
kb_relative_information_score
782.368519
kb_relative_information_score
772.015397
kb_relative_information_score
737.261487
kb_relative_information_score
755.773918
kb_relative_information_score
752.205373
kb_relative_information_score
754.552323
kb_relative_information_score
755.42121
kb_relative_information_score
768.165624
kb_relative_information_score
769.0506
kb_relative_information_score
757.548217
kb_relative_information_score
749.429796
kb_relative_information_score
761.076015
kb_relative_information_score
777.278772
kb_relative_information_score
743.357992
kb_relative_information_score
764.774227
kb_relative_information_score
770.802972
kb_relative_information_score
760.175798
kb_relative_information_score
770.502659
kb_relative_information_score
748.202467
kb_relative_information_score
766.040383
kb_relative_information_score
756.713622
kb_relative_information_score
751.741155
kb_relative_information_score
783.434991
kb_relative_information_score
757.058939
kb_relative_information_score
779.317824
kb_relative_information_score
761.597323
kb_relative_information_score
757.859587
kb_relative_information_score
758.169424
kb_relative_information_score
740.440974
kb_relative_information_score
740.276724
kb_relative_information_score
749.370728
kb_relative_information_score
734.350975
kb_relative_information_score
774.224763
kb_relative_information_score
764.161339
kb_relative_information_score
774.701617
kb_relative_information_score
734.077887
kb_relative_information_score
765.136331
kb_relative_information_score
766.308582
kb_relative_information_score
757.349363
kb_relative_information_score
756.062512
kb_relative_information_score
748.967171
kb_relative_information_score
755.64336
kb_relative_information_score
758.936216
kb_relative_information_score
732.818757
kb_relative_information_score
747.412616
kb_relative_information_score
757.132789
kb_relative_information_score
761.784867
kb_relative_information_score
759.388823
kb_relative_information_score
736.009276
kb_relative_information_score
759.248256
kb_relative_information_score
775.64853
kb_relative_information_score
749.183928
kb_relative_information_score
752.994816
kb_relative_information_score
756.774317
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mean_absolute_error
0.055752
mean_absolute_error
0.060427
mean_absolute_error
0.061511
mean_absolute_error
0.059724
mean_absolute_error
0.058235
mean_absolute_error
0.052781
mean_absolute_error
0.056973
mean_absolute_error
0.06043
mean_absolute_error
0.055583
mean_absolute_error
0.060647
mean_absolute_error
0.059892
mean_absolute_error
0.062022
mean_absolute_error
0.059153
mean_absolute_error
0.059074
mean_absolute_error
0.062838
mean_absolute_error
0.054676
mean_absolute_error
0.063444
mean_absolute_error
0.063011
mean_absolute_error
0.058012
mean_absolute_error
0.060254
mean_absolute_error
0.05766
mean_absolute_error
0.057194
mean_absolute_error
0.05616
mean_absolute_error
0.056185
mean_absolute_error
0.060544
mean_absolute_error
0.06102
mean_absolute_error
0.060533
mean_absolute_error
0.057625
mean_absolute_error
0.054904
mean_absolute_error
0.054044
mean_absolute_error
0.05498
mean_absolute_error
0.055595
mean_absolute_error
0.058378
mean_absolute_error
0.055601
mean_absolute_error
0.059033
mean_absolute_error
0.057729
mean_absolute_error
0.06165
mean_absolute_error
0.058124
mean_absolute_error
0.059785
mean_absolute_error
0.060265
mean_absolute_error
0.057191
mean_absolute_error
0.06215
mean_absolute_error
0.060009
mean_absolute_error
0.062777
mean_absolute_error
0.056259
mean_absolute_error
0.054138
mean_absolute_error
0.054988
mean_absolute_error
0.061831
mean_absolute_error
0.058206
mean_absolute_error
0.059196
mean_absolute_error
0.059667
mean_absolute_error
0.05932
mean_absolute_error
0.057068
mean_absolute_error
0.055648
mean_absolute_error
0.0583
mean_absolute_error
0.060357
mean_absolute_error
0.058753
mean_absolute_error
0.054295
mean_absolute_error
0.060665
mean_absolute_error
0.056413
mean_absolute_error
0.056383
mean_absolute_error
0.056762
mean_absolute_error
0.055607
mean_absolute_error
0.060134
mean_absolute_error
0.057139
mean_absolute_error
0.058678
mean_absolute_error
0.060294
mean_absolute_error
0.052755
mean_absolute_error
0.058904
mean_absolute_error
0.054069
mean_absolute_error
0.057236
mean_absolute_error
0.05785
mean_absolute_error
0.057449
mean_absolute_error
0.062016
mean_absolute_error
0.061859
mean_absolute_error
0.060507
mean_absolute_error
0.062757
mean_absolute_error
0.055115
mean_absolute_error
0.057302
mean_absolute_error
0.054706
mean_absolute_error
0.063012
mean_absolute_error
0.057169
mean_absolute_error
0.056484
mean_absolute_error
0.058845
mean_absolute_error
0.058236
mean_absolute_error
0.060244
mean_absolute_error
0.058897
mean_absolute_error
0.057822
mean_absolute_error
0.063842
mean_absolute_error
0.061066
mean_absolute_error
0.05858
mean_absolute_error
0.057895
mean_absolute_error
0.057778
mean_absolute_error
0.063415
mean_absolute_error
0.058837
mean_absolute_error
0.054417
mean_absolute_error
0.059139
mean_absolute_error
0.060452
mean_absolute_error
0.05886
mean_prior_absolute_error
0.196184
mean_prior_absolute_error
0.196174
mean_prior_absolute_error
0.196174
mean_prior_absolute_error
0.196165
mean_prior_absolute_error
0.196182
mean_prior_absolute_error
0.19618
mean_prior_absolute_error
0.196195
mean_prior_absolute_error
0.19618
mean_prior_absolute_error
0.196166
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.19618
mean_prior_absolute_error
0.196173
mean_prior_absolute_error
0.196184
mean_prior_absolute_error
0.196176
mean_prior_absolute_error
0.196173
mean_prior_absolute_error
0.196189
mean_prior_absolute_error
0.196172
mean_prior_absolute_error
0.196173
mean_prior_absolute_error
0.19617
mean_prior_absolute_error
0.19617
mean_prior_absolute_error
0.196191
mean_prior_absolute_error
0.196173
mean_prior_absolute_error
0.196189
mean_prior_absolute_error
0.196176
mean_prior_absolute_error
0.196173
mean_prior_absolute_error
0.196189
mean_prior_absolute_error
0.19617
mean_prior_absolute_error
0.19617
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0.19617
mean_prior_absolute_error
0.196187
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mean_prior_absolute_error
0.196185
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0.19617
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0.19617
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0.196189
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0.196185
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0.196185
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0.19617
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0.196189
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0.196185
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0.196185
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0.19617
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0.196187
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0.196172
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0.19617
mean_prior_absolute_error
0.196173
mean_prior_absolute_error
0.196175
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0.196173
mean_prior_absolute_error
0.19619
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0.196187
mean_prior_absolute_error
0.196162
mean_prior_absolute_error
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mean_prior_absolute_error
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0.196175
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0.196189
mean_prior_absolute_error
0.196162
mean_prior_absolute_error
0.196192
mean_prior_absolute_error
0.196162
mean_prior_absolute_error
0.196192
mean_prior_absolute_error
0.19617
mean_prior_absolute_error
0.196162
mean_prior_absolute_error
0.19618
number_of_instances
997 [109,99,161,148,79,96,117,102,86]
number_of_instances
997 [110,99,162,147,78,96,117,102,86]
number_of_instances
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996 [110,99,161,148,78,96,117,101,86]
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996 [110,99,161,147,79,96,117,101,86]
number_of_instances
996 [110,99,162,147,78,96,117,101,86]
number_of_instances
996 [110,99,162,147,78,96,117,101,86]
number_of_instances
996 [110,99,162,147,78,96,117,101,86]
number_of_instances
996 [110,99,162,147,78,96,117,101,86]
number_of_instances
996 [110,99,161,147,78,96,117,101,87]
number_of_instances
996 [110,99,162,147,78,96,117,101,86]
number_of_instances
996 [110,99,161,147,79,96,117,101,86]
number_of_instances
996 [110,99,161,148,78,96,117,101,86]
number_of_instances
996 [110,99,161,147,79,96,117,101,86]
number_of_instances
996 [110,99,161,147,78,97,117,101,86]
number_of_instances
996 [110,99,162,147,78,96,117,101,86]
number_of_instances
996 [110,99,162,147,78,96,117,101,86]
number_of_instances
996 [110,99,161,147,79,96,117,101,86]
number_of_instances
996 [110,99,161,147,78,97,117,101,86]
number_of_instances
996 [110,99,161,147,78,97,117,101,86]
number_of_instances
996 [110,99,162,147,78,96,117,101,86]
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996 [110,99,161,147,78,97,117,101,86]
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996 [110,99,162,147,78,96,117,101,86]
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996 [110,99,161,147,79,96,117,101,86]
number_of_instances
996 [110,99,161,147,78,97,117,101,86]
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996 [110,99,161,147,78,97,117,101,86]
number_of_instances
996 [110,99,162,147,78,96,117,101,86]
number_of_instances
996 [110,99,161,147,79,96,117,101,86]
number_of_instances
996 [110,99,161,147,78,97,117,101,86]
number_of_instances
996 [110,99,161,147,78,97,117,101,86]
number_of_instances
996 [110,99,162,147,78,96,117,101,86]
number_of_instances
996 [110,99,161,147,78,97,117,101,86]
number_of_instances
996 [110,99,162,147,78,96,117,101,86]
number_of_instances
996 [109,100,161,147,78,97,117,101,86]
number_of_instances
996 [110,99,161,147,78,97,117,101,86]
number_of_instances
996 [110,99,161,147,78,97,117,101,86]
number_of_instances
996 [110,99,162,147,78,96,117,101,86]
number_of_instances
996 [109,99,161,148,78,97,117,101,86]
number_of_instances
996 [109,99,161,148,78,97,117,101,86]
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996 [110,99,161,147,78,97,117,101,86]
number_of_instances
996 [109,99,162,147,78,96,117,101,87]
number_of_instances
996 [109,99,162,147,78,97,117,101,86]
number_of_instances
996 [110,99,162,147,78,96,117,101,86]
number_of_instances
996 [109,99,162,147,78,97,117,101,86]
number_of_instances
996 [110,99,161,147,78,96,117,102,86]
number_of_instances
996 [110,99,161,147,78,97,117,101,86]
number_of_instances
996 [110,99,161,147,78,97,117,101,86]
number_of_instances
996 [109,99,161,148,78,97,117,101,86]
number_of_instances
996 [109,99,161,148,79,96,117,101,86]
number_of_instances
996 [110,99,162,147,78,96,117,101,86]
number_of_instances
996 [109,99,161,147,78,97,117,102,86]
number_of_instances
996 [109,99,162,147,78,96,117,102,86]
number_of_instances
996 [110,99,162,147,78,96,117,101,86]
number_of_instances
996 [109,99,162,147,78,97,117,101,86]
number_of_instances
996 [109,99,162,147,78,96,117,101,87]
number_of_instances
996 [110,99,161,148,78,96,117,101,86]
number_of_instances
996 [109,99,161,147,78,97,117,101,87]
number_of_instances
996 [109,99,161,148,78,97,117,101,86]
number_of_instances
996 [109,99,161,148,79,96,117,101,86]
number_of_instances
996 [110,99,162,147,78,96,117,101,86]
number_of_instances
996 [109,100,161,147,78,97,117,101,86]
number_of_instances
996 [109,99,162,148,78,96,117,101,86]
number_of_instances
996 [110,99,161,147,78,96,117,101,87]
number_of_instances
996 [109,99,162,147,78,96,117,102,86]
number_of_instances
996 [109,99,162,148,78,96,117,101,86]
number_of_instances
996 [109,99,161,148,78,96,117,102,86]
number_of_instances
996 [109,100,161,147,78,97,117,101,86]
number_of_instances
996 [109,100,161,147,78,96,117,101,87]
number_of_instances
996 [109,100,161,147,78,96,117,101,87]
number_of_instances
996 [109,99,162,148,78,96,117,101,86]
number_of_instances
996 [109,99,161,147,79,97,117,101,86]
number_of_instances
996 [109,99,162,148,78,96,117,101,86]
number_of_instances
996 [109,99,161,147,79,97,117,101,86]
number_of_instances
996 [110,99,162,147,78,96,117,101,86]
number_of_instances
996 [109,99,162,148,78,96,117,101,86]
number_of_instances
996 [109,99,161,148,79,96,117,101,86]
precision
0.783181 [0.706897,0.813187,0.837349,0.854167,0.851351,0.893617,0.783582,0.634409,0.611765]
precision
0.788623 [0.783784,0.842105,0.847134,0.818792,0.797468,0.907216,0.884956,0.544554,0.589474]
precision
0.768925 [0.775701,0.80198,0.760736,0.828767,0.752941,0.893617,0.831933,0.60177,0.623188]
precision
0.76482 [0.752137,0.766355,0.848101,0.748387,0.797297,0.893617,0.819672,0.554455,0.652174]
precision
0.767694 [0.709677,0.773196,0.792135,0.793333,0.876712,0.880435,0.841667,0.561224,0.661538]
precision
0.776693 [0.770492,0.840426,0.843373,0.767296,0.74026,0.933333,0.878261,0.569892,0.567901]
precision
0.795087 [0.783019,0.864583,0.841463,0.803797,0.804878,0.914894,0.830645,0.62,0.643836]
precision
0.777979 [0.730435,0.808081,0.871622,0.812081,0.8125,0.892157,0.841667,0.575758,0.564706]
precision
0.766459 [0.710526,0.777778,0.815951,0.806897,0.767442,0.875,0.895652,0.556818,0.609756]
precision
0.793806 [0.74359,0.794118,0.803468,0.813333,0.853333,0.876289,0.884956,0.647727,0.707317]
precision
0.760066 [0.752212,0.813725,0.815951,0.790123,0.794521,0.903226,0.834783,0.511628,0.550562]
precision
0.773924 [0.772727,0.835052,0.84106,0.782609,0.759036,0.93617,0.768595,0.625,0.578313]
precision
0.755152 [0.758929,0.88172,0.820988,0.745223,0.820513,0.843137,0.761905,0.5625,0.557143]
precision
0.764677 [0.739496,0.808511,0.798817,0.830986,0.704545,0.887755,0.8,0.606742,0.623377]
precision
0.778087 [0.725664,0.836538,0.820359,0.802632,0.84058,0.848485,0.85124,0.530612,0.712329]
precision
0.76257 [0.735294,0.76699,0.83432,0.851064,0.780488,0.852941,0.828829,0.568421,0.527473]
precision
0.803208 [0.747664,0.846154,0.837349,0.86,0.782051,0.84,0.90678,0.688172,0.634409]
precision
0.752886 [0.672,0.793814,0.817647,0.798701,0.683544,0.911111,0.808696,0.556604,0.65]
precision
0.746348 [0.716814,0.822222,0.810127,0.771084,0.740741,0.854369,0.777778,0.61039,0.536585]
precision
0.777001 [0.769231,0.81,0.814103,0.811688,0.857143,0.925532,0.78626,0.6,0.576087]
precision
0.761195 [0.675214,0.823529,0.782353,0.832168,0.75,0.89,0.798319,0.575472,0.671642]
precision
0.775143 [0.766355,0.817308,0.839286,0.830882,0.786667,0.90099,0.85124,0.517857,0.569444]
precision
0.777236 [0.691057,0.803922,0.878049,0.875969,0.805556,0.876289,0.816794,0.554348,0.569767]
precision
0.778867 [0.720721,0.875,0.822086,0.836879,0.835616,0.810811,0.829268,0.607477,0.605634]
precision
0.784933 [0.695652,0.842697,0.878205,0.819876,0.779221,0.875,0.9,0.574257,0.593407]
precision
0.762993 [0.733945,0.745455,0.798817,0.829932,0.746988,0.846154,0.86087,0.572917,0.650794]
precision
0.763961 [0.7,0.745614,0.819355,0.82069,0.772152,0.87,0.811475,0.62069,0.642857]
precision
0.773864 [0.725806,0.763636,0.858974,0.783439,0.863636,0.931034,0.826446,0.594059,0.554054]
precision
0.771216 [0.72,0.828283,0.858025,0.76129,0.794521,0.891089,0.85,0.595506,0.569444]
precision
0.794766 [0.738739,0.824176,0.85443,0.827586,0.790123,0.916667,0.852459,0.666667,0.604167]
precision
0.795866 [0.8125,0.814433,0.820988,0.821918,0.822785,0.89,0.880342,0.602151,0.644444]
precision
0.796966 [0.754717,0.873684,0.815476,0.816327,0.823529,0.86,0.915094,0.6,0.670886]
precision
0.791433 [0.732283,0.8,0.824561,0.801325,0.868421,0.883495,0.863636,0.675,0.643836]
precision
0.777007 [0.704762,0.769912,0.853503,0.842105,0.788235,0.926316,0.825,0.588235,0.604651]
precision
0.795805 [0.752294,0.838384,0.836364,0.843972,0.853333,0.91,0.848214,0.584906,0.640449]
precision
0.771283 [0.739496,0.826923,0.803681,0.832168,0.87013,0.813725,0.836066,0.552083,0.614286]
precision
0.7809 [0.772277,0.821782,0.836601,0.876812,0.759494,0.844037,0.842975,0.570175,0.5875]
precision
0.750402 [0.740741,0.804124,0.819355,0.742331,0.759494,0.934783,0.789916,0.542553,0.561798]
precision
0.785137 [0.822917,0.833333,0.822086,0.828947,0.732558,0.903846,0.813008,0.561905,0.675325]
precision
0.774041 [0.736364,0.85,0.844311,0.798658,0.768293,0.88785,0.814159,0.55,0.647059]
precision
0.769004 [0.724771,0.795918,0.803571,0.781457,0.77381,0.868687,0.876106,0.614583,0.628205]
precision
0.773173 [0.72,0.797872,0.819767,0.819444,0.78481,0.90099,0.809917,0.586957,0.661765]
precision
0.771895 [0.706897,0.827957,0.826087,0.842857,0.739726,0.89899,0.859813,0.560345,0.582418]
precision
0.77213 [0.695652,0.806122,0.82716,0.763975,0.763158,0.914894,0.926606,0.581633,0.60241]
precision
0.763078 [0.754545,0.8125,0.798883,0.832,0.766234,0.830189,0.883929,0.504762,0.593023]
precision
0.798406 [0.769912,0.833333,0.822785,0.833333,0.835821,0.932039,0.809524,0.631068,0.686047]
precision
0.807394 [0.752212,0.836538,0.825,0.861111,0.847222,0.919192,0.889908,0.603774,0.685393]
precision
0.801728 [0.720339,0.826531,0.870968,0.869565,0.859155,0.888889,0.846774,0.616162,0.638298]
precision
0.757698 [0.733333,0.761905,0.834395,0.823944,0.811594,0.882353,0.842105,0.521739,0.5]
precision
0.766016 [0.740741,0.831579,0.806061,0.798658,0.887324,0.90625,0.840336,0.477273,0.561905]
precision
0.766474 [0.765766,0.783019,0.837662,0.775641,0.775,0.888889,0.798319,0.59596,0.611111]
precision
0.775875 [0.75,0.860215,0.848485,0.786667,0.811594,0.83,0.810606,0.567308,0.661972]
precision
0.778186 [0.839623,0.764151,0.786982,0.809859,0.802326,0.91,0.888889,0.517241,0.630435]
precision
0.787153 [0.726496,0.895833,0.820359,0.794521,0.883117,0.865385,0.834783,0.619048,0.622222]
precision
0.797652 [0.761062,0.798165,0.813953,0.921875,0.728395,0.967391,0.853659,0.637363,0.586207]
precision
0.775695 [0.7,0.877778,0.829412,0.825503,0.733333,0.887755,0.85,0.575472,0.615385]
precision
0.763554 [0.71875,0.71028,0.815951,0.798658,0.721519,0.870968,0.857143,0.623377,0.679012]
precision
0.782806 [0.808081,0.708661,0.820809,0.814815,0.831169,0.866667,0.843478,0.659341,0.635135]
precision
0.787124 [0.741379,0.838095,0.843373,0.786164,0.835616,0.905263,0.828829,0.673913,0.582278]
precision
0.761002 [0.720339,0.8125,0.808989,0.798658,0.848101,0.841121,0.840708,0.548387,0.571429]
precision
0.773259 [0.669355,0.789474,0.863354,0.795031,0.734177,0.929293,0.868421,0.604651,0.61039]
precision
0.784604 [0.730435,0.756522,0.843537,0.816993,0.802469,0.894737,0.889908,0.621053,0.627907]
precision
0.780942 [0.735294,0.743119,0.883117,0.816327,0.732558,0.907216,0.857143,0.550459,0.69863]
precision
0.796524 [0.737288,0.906977,0.818713,0.885714,0.831169,0.89,0.885246,0.547368,0.586207]
precision
0.770594 [0.767857,0.793478,0.871951,0.788732,0.741176,0.891089,0.842975,0.564356,0.564103]
precision
0.783747 [0.727273,0.85567,0.829412,0.832168,0.77381,0.923077,0.862069,0.583333,0.584416]
precision
0.774973 [0.778761,0.826087,0.812121,0.754717,0.824324,0.920792,0.87069,0.577778,0.569767]
precision
0.767844 [0.775701,0.814433,0.806061,0.84106,0.792683,0.87,0.792,0.580247,0.556818]
precision
0.801108 [0.741379,0.815534,0.875,0.898438,0.728261,0.896907,0.866667,0.670213,0.581395]
precision
0.773549 [0.763636,0.838384,0.782123,0.806667,0.807692,0.879121,0.830357,0.653465,0.552632]
precision
0.79631 [0.743363,0.83,0.832335,0.82,0.767442,0.942529,0.909091,0.59434,0.662338]
precision
0.777951 [0.732759,0.8,0.843137,0.807947,0.794872,0.914894,0.848,0.571429,0.613636]
precision
0.775873 [0.719626,0.833333,0.817647,0.781818,0.802326,0.907216,0.816667,0.630952,0.636364]
precision
0.777391 [0.671875,0.776699,0.865385,0.794872,0.818182,0.901099,0.898305,0.569892,0.621622]
precision
0.759431 [0.717172,0.826531,0.838509,0.767296,0.764045,0.916667,0.820513,0.552083,0.555556]
precision
0.761735 [0.659259,0.760417,0.779762,0.870504,0.777778,0.92,0.888889,0.57732,0.527778]
precision
0.770496 [0.756757,0.764151,0.797753,0.813333,0.820513,0.897959,0.87037,0.585366,0.564706]
precision
0.742186 [0.716667,0.787234,0.8,0.786164,0.772152,0.834862,0.822581,0.505263,0.575758]
precision
0.786779 [0.708661,0.858696,0.809249,0.84,0.8375,0.913978,0.837607,0.597701,0.636364]
precision
0.787144 [0.669355,0.792453,0.86875,0.826087,0.72093,0.955556,0.81746,0.63,0.727273]
precision
0.784303 [0.745283,0.826531,0.808383,0.825175,0.728395,0.91,0.864407,0.62963,0.653333]
precision
0.750348 [0.736842,0.759615,0.793103,0.786207,0.7625,0.918605,0.818966,0.510638,0.60241]
precision
0.781666 [0.698276,0.875,0.849673,0.828025,0.732558,0.916667,0.810606,0.670732,0.55814]
precision
0.788896 [0.77551,0.835165,0.872611,0.784314,0.807229,0.903846,0.811024,0.63,0.614458]
precision
0.770251 [0.794118,0.787037,0.821656,0.841379,0.691489,0.884615,0.806452,0.583333,0.615385]
precision
0.785032 [0.70339,0.815534,0.847134,0.865772,0.766234,0.887755,0.867257,0.598039,0.607595]
precision
0.774298 [0.7,0.834951,0.807018,0.825503,0.805195,0.91954,0.823529,0.595745,0.605263]
precision
0.776437 [0.742268,0.798077,0.85,0.865772,0.764045,0.783784,0.85,0.515152,0.716418]
precision
0.777369 [0.788462,0.84375,0.779006,0.834532,0.802469,0.882979,0.811024,0.610526,0.594937]
precision
0.750645 [0.74,0.795918,0.841772,0.761006,0.785714,0.825243,0.858333,0.536082,0.516484]
precision
0.778738 [0.74359,0.806122,0.887417,0.797297,0.819444,0.907216,0.793388,0.621359,0.539326]
precision
0.768945 [0.720721,0.788991,0.817647,0.828571,0.791667,0.872549,0.883929,0.595506,0.527473]
precision
0.768981 [0.72807,0.789474,0.830303,0.831081,0.747253,0.817308,0.837398,0.632911,0.61039]
precision
0.770163 [0.811881,0.808511,0.792683,0.811321,0.818182,0.850467,0.830645,0.54023,0.614458]
precision
0.751417 [0.733945,0.747664,0.823529,0.75,0.741573,0.915789,0.783333,0.574074,0.633803]
precision
0.773168 [0.767857,0.836957,0.782857,0.775641,0.767442,0.945652,0.808333,0.604938,0.646341]
precision
0.791361 [0.745614,0.808081,0.824561,0.861111,0.807692,0.852941,0.893805,0.622222,0.623529]
precision
0.7655 [0.728972,0.796117,0.811765,0.781457,0.873239,0.914894,0.788136,0.584158,0.580247]
precision
0.781386 [0.741071,0.813725,0.836364,0.818182,0.846154,0.857143,0.892157,0.558824,0.595745]
precision
0.768575 [0.688,0.794118,0.847134,0.794702,0.775,0.864583,0.869565,0.568182,0.634146]
predictive_accuracy
0.78335
predictive_accuracy
0.786359
predictive_accuracy
0.769308
predictive_accuracy
0.766299
predictive_accuracy
0.769308
predictive_accuracy
0.778335
predictive_accuracy
0.797392
predictive_accuracy
0.778335
predictive_accuracy
0.769308
predictive_accuracy
0.795386
predictive_accuracy
0.763052
predictive_accuracy
0.774096
predictive_accuracy
0.759036
predictive_accuracy
0.767068
predictive_accuracy
0.78012
predictive_accuracy
0.763052
predictive_accuracy
0.803213
predictive_accuracy
0.753012
predictive_accuracy
0.751004
predictive_accuracy
0.776104
predictive_accuracy
0.762048
predictive_accuracy
0.776104
predictive_accuracy
0.777108
predictive_accuracy
0.78012
predictive_accuracy
0.782129
predictive_accuracy
0.767068
predictive_accuracy
0.766064
predictive_accuracy
0.773092
predictive_accuracy
0.776104
predictive_accuracy
0.793173
predictive_accuracy
0.797189
predictive_accuracy
0.795181
predictive_accuracy
0.795181
predictive_accuracy
0.776104
predictive_accuracy
0.794177
predictive_accuracy
0.7751
predictive_accuracy
0.779116
predictive_accuracy
0.75
predictive_accuracy
0.785141
predictive_accuracy
0.778112
predictive_accuracy
0.771084
predictive_accuracy
0.777108
predictive_accuracy
0.766064
predictive_accuracy
0.771084
predictive_accuracy
0.761044
predictive_accuracy
0.798193
predictive_accuracy
0.805221
predictive_accuracy
0.799197
predictive_accuracy
0.757028
predictive_accuracy
0.76506
predictive_accuracy
0.769076
predictive_accuracy
0.777108
predictive_accuracy
0.78012
predictive_accuracy
0.789157
predictive_accuracy
0.796185
predictive_accuracy
0.776104
predictive_accuracy
0.766064
predictive_accuracy
0.784137
predictive_accuracy
0.789157
predictive_accuracy
0.768072
predictive_accuracy
0.776104
predictive_accuracy
0.783133
predictive_accuracy
0.779116
predictive_accuracy
0.796185
predictive_accuracy
0.773092
predictive_accuracy
0.783133
predictive_accuracy
0.777108
predictive_accuracy
0.772088
predictive_accuracy
0.799197
predictive_accuracy
0.7751
predictive_accuracy
0.794177
predictive_accuracy
0.779116
predictive_accuracy
0.78012
predictive_accuracy
0.778112
predictive_accuracy
0.762048
predictive_accuracy
0.762048
predictive_accuracy
0.774096
predictive_accuracy
0.747992
predictive_accuracy
0.789157
predictive_accuracy
0.785141
predictive_accuracy
0.785141
predictive_accuracy
0.751004
predictive_accuracy
0.782129
predictive_accuracy
0.790161
predictive_accuracy
0.774096
predictive_accuracy
0.785141
predictive_accuracy
0.776104
predictive_accuracy
0.779116
predictive_accuracy
0.779116
predictive_accuracy
0.751004
predictive_accuracy
0.776104
predictive_accuracy
0.77008
predictive_accuracy
0.774096
predictive_accuracy
0.7751
predictive_accuracy
0.751004
predictive_accuracy
0.776104
predictive_accuracy
0.793173
predictive_accuracy
0.766064
predictive_accuracy
0.778112
predictive_accuracy
0.77008
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
recall
0.78335 [0.752294,0.747475,0.863354,0.831081,0.797468,0.875,0.897436,0.578431,0.604651]
recall
0.786359 [0.790909,0.808081,0.820988,0.829932,0.807692,0.916667,0.854701,0.539216,0.651163]
recall
0.769308 [0.754545,0.818182,0.765432,0.823129,0.820513,0.875,0.846154,0.666667,0.5]
recall
0.766299 [0.807339,0.828283,0.82716,0.783784,0.75641,0.875,0.854701,0.54902,0.523256]
recall
0.769308 [0.8,0.757576,0.875776,0.804054,0.810127,0.84375,0.863248,0.544554,0.5]
recall
0.778335 [0.854545,0.79798,0.869565,0.824324,0.730769,0.875,0.863248,0.524752,0.528736]
recall
0.797392 [0.761468,0.838384,0.857143,0.863946,0.835443,0.886598,0.880342,0.607843,0.546512]
recall
0.778335 [0.763636,0.808081,0.801242,0.817568,0.833333,0.947917,0.863248,0.564356,0.551724]
recall
0.769308 [0.743119,0.84,0.820988,0.790541,0.846154,0.875,0.880342,0.485149,0.581395]
recall
0.795386 [0.798165,0.818182,0.858025,0.829932,0.810127,0.885417,0.854701,0.564356,0.666667]
recall
0.763052 [0.779817,0.838384,0.826087,0.864865,0.734177,0.875,0.820513,0.435644,0.569767]
recall
0.774096 [0.772727,0.818182,0.783951,0.857143,0.807692,0.916667,0.794872,0.594059,0.55814]
recall
0.759036 [0.772727,0.828283,0.820988,0.795918,0.820513,0.895833,0.820513,0.534653,0.453488]
recall
0.767068 [0.807339,0.767677,0.838509,0.797297,0.78481,0.90625,0.820513,0.534653,0.55814]
recall
0.78012 [0.745455,0.878788,0.850932,0.824324,0.74359,0.875,0.880342,0.514851,0.604651]
recall
0.763052 [0.681818,0.79,0.875776,0.816327,0.820513,0.90625,0.786325,0.534653,0.55814]
recall
0.803213 [0.733945,0.777778,0.863354,0.871622,0.782051,0.865979,0.91453,0.633663,0.686047]
recall
0.753012 [0.763636,0.777778,0.863354,0.831081,0.692308,0.854167,0.794872,0.584158,0.453488]
recall
0.751004 [0.736364,0.747475,0.795031,0.870748,0.759494,0.916667,0.837607,0.465347,0.511628]
recall
0.776104 [0.733945,0.81,0.783951,0.85034,0.769231,0.90625,0.880342,0.564356,0.616279]
recall
0.762048 [0.718182,0.848485,0.826087,0.804054,0.692308,0.927083,0.811966,0.60396,0.523256]
recall
0.776104 [0.745455,0.858586,0.87037,0.768707,0.75641,0.947917,0.880342,0.574257,0.476744]
recall
0.777108 [0.772727,0.828283,0.888889,0.768707,0.74359,0.885417,0.91453,0.50495,0.569767]
recall
0.78012 [0.733945,0.84,0.832298,0.802721,0.772152,0.9375,0.871795,0.643564,0.5]
recall
0.782129 [0.727273,0.757576,0.850932,0.891892,0.769231,0.875,0.846154,0.574257,0.627907]
recall
0.767068 [0.727273,0.828283,0.838509,0.829932,0.78481,0.916667,0.846154,0.544554,0.476744]
recall
0.766064 [0.706422,0.85,0.78882,0.804054,0.782051,0.90625,0.846154,0.534653,0.627907]
recall
0.773092 [0.818182,0.848485,0.832298,0.831081,0.730769,0.84375,0.854701,0.594059,0.476744]
recall
0.776104 [0.818182,0.828283,0.863354,0.802721,0.734177,0.9375,0.871795,0.524752,0.476744]
recall
0.793173 [0.745455,0.757576,0.833333,0.816327,0.820513,0.916667,0.888889,0.633663,0.674419]
recall
0.797189 [0.827273,0.79798,0.820988,0.816327,0.833333,0.927083,0.880342,0.554455,0.674419]
recall
0.795181 [0.727273,0.838384,0.845679,0.816327,0.897436,0.895833,0.82906,0.653465,0.616279]
recall
0.795181 [0.845455,0.848485,0.87037,0.823129,0.846154,0.947917,0.811966,0.534653,0.546512]
recall
0.776104 [0.672727,0.878788,0.832298,0.761905,0.858974,0.916667,0.846154,0.594059,0.597701]
recall
0.794177 [0.745455,0.838384,0.851852,0.809524,0.820513,0.947917,0.811966,0.613861,0.662791]
recall
0.7751 [0.8,0.868687,0.813665,0.809524,0.848101,0.864583,0.871795,0.524752,0.5]
recall
0.779116 [0.709091,0.838384,0.795031,0.817568,0.769231,0.958333,0.871795,0.643564,0.546512]
recall
0.75 [0.727273,0.787879,0.78882,0.823129,0.759494,0.895833,0.803419,0.50495,0.581395]
recall
0.785141 [0.718182,0.757576,0.832298,0.857143,0.807692,0.969072,0.854701,0.584158,0.604651]
recall
0.778112 [0.736364,0.858586,0.87037,0.809524,0.807692,0.989583,0.786325,0.544554,0.511628]
recall
0.771084 [0.718182,0.787879,0.833333,0.802721,0.833333,0.895833,0.846154,0.584158,0.569767]
recall
0.777108 [0.818182,0.757576,0.875776,0.802721,0.78481,0.947917,0.837607,0.534653,0.523256]
recall
0.766064 [0.745455,0.777778,0.826087,0.802721,0.692308,0.917526,0.786325,0.643564,0.616279]
recall
0.771084 [0.727273,0.79798,0.832298,0.836735,0.74359,0.886598,0.863248,0.564356,0.581395]
recall
0.761044 [0.754545,0.787879,0.882716,0.707483,0.75641,0.916667,0.846154,0.524752,0.593023]
recall
0.798193 [0.790909,0.858586,0.807453,0.782313,0.717949,0.989691,0.871795,0.643564,0.686047]
recall
0.805221 [0.772727,0.878788,0.814815,0.843537,0.782051,0.947917,0.82906,0.633663,0.709302]
recall
0.799197 [0.772727,0.818182,0.838509,0.816327,0.772152,0.916667,0.897436,0.60396,0.697674]
recall
0.757028 [0.8,0.808081,0.813665,0.795918,0.717949,0.927835,0.820513,0.594059,0.418605]
recall
0.76506 [0.727273,0.79798,0.826087,0.809524,0.807692,0.896907,0.854701,0.415842,0.686047]
recall
0.769076 [0.772727,0.838384,0.796296,0.823129,0.794872,0.916667,0.811966,0.584158,0.511628]
recall
0.777108 [0.763636,0.808081,0.869565,0.802721,0.708861,0.864583,0.91453,0.584158,0.546512]
recall
0.78012 [0.809091,0.818182,0.826087,0.782313,0.884615,0.938144,0.820513,0.445545,0.674419]
recall
0.789157 [0.772727,0.868687,0.850932,0.789116,0.871795,0.927835,0.820513,0.514851,0.651163]
recall
0.796185 [0.781818,0.878788,0.864198,0.802721,0.75641,0.927083,0.897436,0.574257,0.593023]
recall
0.776104 [0.7,0.79798,0.875776,0.836735,0.705128,0.896907,0.871795,0.60396,0.55814]
recall
0.766064 [0.836364,0.767677,0.820988,0.809524,0.730769,0.84375,0.871795,0.475248,0.639535]
recall
0.784137 [0.733945,0.9,0.881988,0.748299,0.820513,0.938144,0.82906,0.594059,0.546512]
recall
0.789157 [0.781818,0.888889,0.869565,0.85034,0.782051,0.886598,0.786325,0.613861,0.534884]
recall
0.768072 [0.772727,0.787879,0.89441,0.809524,0.858974,0.927835,0.811966,0.50495,0.418605]
recall
0.776104 [0.754545,0.757576,0.858025,0.870748,0.74359,0.958333,0.846154,0.514851,0.546512]
recall
0.783133 [0.770642,0.878788,0.770186,0.844595,0.833333,0.876289,0.82906,0.584158,0.627907]
recall
0.779116 [0.688073,0.818182,0.84472,0.810811,0.807692,0.907216,0.871795,0.594059,0.593023]
recall
0.796185 [0.790909,0.787879,0.869565,0.843537,0.820513,0.917526,0.923077,0.514851,0.593023]
recall
0.773092 [0.788991,0.737374,0.882716,0.761905,0.807692,0.9375,0.871795,0.564356,0.505747]
recall
0.783133 [0.733945,0.838384,0.87037,0.809524,0.833333,0.865979,0.854701,0.623762,0.523256]
recall
0.777108 [0.8,0.767677,0.82716,0.816327,0.782051,0.96875,0.863248,0.514851,0.569767]
recall
0.772088 [0.761468,0.79798,0.820988,0.863946,0.833333,0.896907,0.846154,0.465347,0.569767]
recall
0.799197 [0.781818,0.848485,0.869565,0.782313,0.858974,0.90625,0.888889,0.617647,0.581395]
recall
0.7751 [0.763636,0.838384,0.869565,0.823129,0.807692,0.824742,0.794872,0.653465,0.488372]
recall
0.794177 [0.763636,0.838384,0.863354,0.836735,0.846154,0.845361,0.854701,0.623762,0.593023]
recall
0.779116 [0.779817,0.808081,0.801242,0.824324,0.794872,0.886598,0.905983,0.514851,0.627907]
recall
0.78012 [0.706422,0.757576,0.863354,0.871622,0.873418,0.916667,0.837607,0.524752,0.569767]
recall
0.778112 [0.781818,0.808081,0.833333,0.843537,0.807692,0.854167,0.905983,0.524752,0.534884]
recall
0.762048 [0.651376,0.818182,0.838509,0.829932,0.871795,0.907216,0.820513,0.519608,0.523256]
recall
0.762048 [0.816514,0.737374,0.808642,0.823129,0.807692,0.958333,0.820513,0.54902,0.44186]
recall
0.774096 [0.763636,0.818182,0.876543,0.829932,0.820513,0.916667,0.803419,0.475248,0.55814]
recall
0.747992 [0.788991,0.747475,0.740741,0.85034,0.782051,0.938144,0.871795,0.475248,0.44186]
recall
0.789157 [0.825688,0.79798,0.864198,0.857143,0.858974,0.885417,0.837607,0.514851,0.563218]
recall
0.785141 [0.754545,0.848485,0.863354,0.77027,0.794872,0.895833,0.880342,0.623762,0.55814]
recall
0.785141 [0.724771,0.818182,0.838509,0.802721,0.75641,0.938144,0.871795,0.673267,0.563218]
recall
0.751004 [0.770642,0.79798,0.857143,0.77027,0.782051,0.814433,0.811966,0.475248,0.581395]
recall
0.782129 [0.743119,0.777778,0.807453,0.878378,0.797468,0.916667,0.91453,0.544554,0.55814]
recall
0.790161 [0.690909,0.767677,0.845679,0.816327,0.858974,0.979167,0.880342,0.623762,0.593023]
recall
0.774096 [0.743119,0.85,0.801242,0.829932,0.833333,0.948454,0.854701,0.485149,0.55814]
recall
0.785141 [0.761468,0.848485,0.820988,0.871622,0.75641,0.90625,0.837607,0.60396,0.55814]
recall
0.776104 [0.763636,0.868687,0.857143,0.836735,0.794872,0.833333,0.837607,0.554455,0.528736]
recall
0.779116 [0.66055,0.838384,0.839506,0.877551,0.871795,0.90625,0.871795,0.5,0.55814]
recall
0.779116 [0.752294,0.818182,0.87037,0.783784,0.833333,0.864583,0.880342,0.574257,0.546512]
recall
0.751004 [0.678899,0.787879,0.826087,0.817568,0.705128,0.885417,0.880342,0.509804,0.546512]
recall
0.776104 [0.798165,0.79,0.832298,0.802721,0.75641,0.907216,0.820513,0.633663,0.55814]
recall
0.77008 [0.733945,0.86,0.863354,0.789116,0.730769,0.927083,0.846154,0.524752,0.551724]
recall
0.774096 [0.761468,0.75,0.850932,0.836735,0.871795,0.885417,0.880342,0.49505,0.54023]
recall
0.7751 [0.752294,0.767677,0.802469,0.871622,0.807692,0.947917,0.880342,0.465347,0.593023]
recall
0.751004 [0.733945,0.808081,0.782609,0.734694,0.835443,0.896907,0.803419,0.613861,0.523256]
recall
0.776104 [0.788991,0.777778,0.845679,0.817568,0.846154,0.90625,0.82906,0.485149,0.616279]
recall
0.793173 [0.779817,0.808081,0.875776,0.843537,0.797468,0.896907,0.863248,0.554455,0.616279]
recall
0.766064 [0.709091,0.828283,0.851852,0.802721,0.794872,0.895833,0.794872,0.584158,0.546512]
recall
0.778112 [0.761468,0.838384,0.851852,0.790541,0.846154,0.875,0.777778,0.564356,0.651163]
recall
0.77008 [0.788991,0.818182,0.826087,0.810811,0.78481,0.864583,0.854701,0.49505,0.604651]
relative_absolute_error
0.298708
relative_absolute_error
0.284196
relative_absolute_error
0.308031
relative_absolute_error
0.313569
relative_absolute_error
0.304431
relative_absolute_error
0.296844
relative_absolute_error
0.269025
relative_absolute_error
0.290409
relative_absolute_error
0.308058
relative_absolute_error
0.283323
relative_absolute_error
0.309138
relative_absolute_error
0.305306
relative_absolute_error
0.316166
relative_absolute_error
0.301522
relative_absolute_error
0.301134
relative_absolute_error
0.320302
relative_absolute_error
0.27871
relative_absolute_error
0.323407
relative_absolute_error
0.321175
relative_absolute_error
0.295722
relative_absolute_error
0.307145
relative_absolute_error
0.293929
relative_absolute_error
0.291552
relative_absolute_error
0.286252
relative_absolute_error
0.286407
relative_absolute_error
0.308599
relative_absolute_error
0.311047
relative_absolute_error
0.308568
relative_absolute_error
0.293722
relative_absolute_error
0.279879
relative_absolute_error
0.275496
relative_absolute_error
0.280265
relative_absolute_error
0.2834
relative_absolute_error
0.297562
relative_absolute_error
0.283434
relative_absolute_error
0.3009
relative_absolute_error
0.294275
relative_absolute_error
0.314236
relative_absolute_error
0.29627
relative_absolute_error
0.30476
relative_absolute_error
0.307207
relative_absolute_error
0.29151
relative_absolute_error
0.316795
relative_absolute_error
0.305882
relative_absolute_error
0.320013
relative_absolute_error
0.286764
relative_absolute_error
0.275974
relative_absolute_error
0.280281
relative_absolute_error
0.315167
relative_absolute_error
0.296688
relative_absolute_error
0.30176
relative_absolute_error
0.304131
relative_absolute_error
0.302369
relative_absolute_error
0.290891
relative_absolute_error
0.283672
relative_absolute_error
0.297172
relative_absolute_error
0.307675
relative_absolute_error
0.299475
relative_absolute_error
0.276753
relative_absolute_error
0.309222
relative_absolute_error
0.28757
relative_absolute_error
0.287409
relative_absolute_error
0.289341
relative_absolute_error
0.283442
relative_absolute_error
0.306533
relative_absolute_error
0.291267
relative_absolute_error
0.299115
relative_absolute_error
0.307351
relative_absolute_error
0.268905
relative_absolute_error
0.30025
relative_absolute_error
0.275603
relative_absolute_error
0.291761
relative_absolute_error
0.29488
relative_absolute_error
0.292854
relative_absolute_error
0.316109
relative_absolute_error
0.315331
relative_absolute_error
0.30844
relative_absolute_error
0.319906
relative_absolute_error
0.280947
relative_absolute_error
0.2921
relative_absolute_error
0.278843
relative_absolute_error
0.321199
relative_absolute_error
0.291411
relative_absolute_error
0.287935
relative_absolute_error
0.299945
relative_absolute_error
0.296878
relative_absolute_error
0.307076
relative_absolute_error
0.300234
relative_absolute_error
0.294768
relative_absolute_error
0.325434
relative_absolute_error
0.311265
relative_absolute_error
0.298587
relative_absolute_error
0.295096
relative_absolute_error
0.294543
relative_absolute_error
0.323231
relative_absolute_error
0.299943
relative_absolute_error
0.277366
relative_absolute_error
0.301466
relative_absolute_error
0.308174
relative_absolute_error
0.300029
root_mean_prior_squared_error
0.3132
root_mean_prior_squared_error
0.313184
root_mean_prior_squared_error
0.313184
root_mean_prior_squared_error
0.31317
root_mean_prior_squared_error
0.313197
root_mean_prior_squared_error
0.313194
root_mean_prior_squared_error
0.313218
root_mean_prior_squared_error
0.313194
root_mean_prior_squared_error
0.313171
root_mean_prior_squared_error
0.3132
root_mean_prior_squared_error
0.313194
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313194
root_mean_prior_squared_error
0.313183
root_mean_prior_squared_error
0.3132
root_mean_prior_squared_error
0.313188
root_mean_prior_squared_error
0.313183
root_mean_prior_squared_error
0.313208
root_mean_prior_squared_error
0.313182
root_mean_prior_squared_error
0.313183
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313212
root_mean_prior_squared_error
0.313183
root_mean_prior_squared_error
0.313208
root_mean_prior_squared_error
0.313187
root_mean_prior_squared_error
0.313183
root_mean_prior_squared_error
0.313208
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313205
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313208
root_mean_prior_squared_error
0.313183
root_mean_prior_squared_error
0.313208
root_mean_prior_squared_error
0.313201
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313208
root_mean_prior_squared_error
0.313201
root_mean_prior_squared_error
0.313201
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313201
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313208
root_mean_prior_squared_error
0.313201
root_mean_prior_squared_error
0.313201
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313208
root_mean_prior_squared_error
0.313201
root_mean_prior_squared_error
0.313201
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313201
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313205
root_mean_prior_squared_error
0.313201
root_mean_prior_squared_error
0.313201
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313188
root_mean_prior_squared_error
0.313188
root_mean_prior_squared_error
0.313201
root_mean_prior_squared_error
0.313186
root_mean_prior_squared_error
0.313183
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313183
root_mean_prior_squared_error
0.3132
root_mean_prior_squared_error
0.313201
root_mean_prior_squared_error
0.313201
root_mean_prior_squared_error
0.313188
root_mean_prior_squared_error
0.313194
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313204
root_mean_prior_squared_error
0.313181
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