211554
2
Joaquin Vanschoren
4562
Supervised Classification
predictive_accuracy
1183
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48(3)
2031
weka.classifiers.meta.AttributeSelectedClassifier -- -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W weka.classifiers.trees.J48 -- -C 0.25 -M 2
C
0.25
1068
M
2
1068
D
1
1097
N
5
1097
E
weka.attributeSelection.CfsSubsetEval
1183
S
weka.attributeSelection.BestFirst
1183
W
weka.classifiers.trees.J48
1183
P
1
1184
E
1
1184
weka
weka_3.7.12
994
vehicle
https://www.openml.org/data/download/53528/vehicle.arff
-1
703523
description
https://api.openml.org/data/download/703523/weka_generated_run426949464091084654.xml
-1
703526
model_readable
https://api.openml.org/data/download/703526/WekaModel_weka.classifiers.meta.AttributeSelectedClassifier6483261646817183484.model
-1
703525
model_serialized
https://api.openml.org/data/download/703525/WekaSerialized_weka.classifiers.meta.AttributeSelectedClassifier8027900763118025730.model
-1
703524
predictions
https://api.openml.org/data/download/703524/weka_generated_predictions7103500190409806365.arff
area_under_roc_curve
0.942354 [0.942354,0.942354]
average_cost
0
f_measure
0.93484 [0.874887,0.955652]
kappa
0.830553
kb_relative_information_score
6650.560534
mean_absolute_error
0.078219
mean_prior_absolute_error
0.382842
number_of_instances
8460 [2180,6280]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.935313 [0.861655,0.960882]
predictive_accuracy
0.934515
prior_entropy
0.824101
recall
0.934515 [0.888532,0.950478]
relative_absolute_error
0.204311
root_mean_prior_squared_error
0.437359
root_mean_squared_error
0.243549
root_relative_squared_error
0.556862
scimark_benchmark
924.129641 [492.3061384281668, 1001.2756661255861, 474.0582283856962, 901.4580491325925, 1751.5501218345944]
total_cost
0
usercpu_time_millis
20
usercpu_time_millis_testing
0
usercpu_time_millis_training
20
area_under_roc_curve
0.961039 [0.961039,0.961039]
area_under_roc_curve
0.94228 [0.94228,0.94228]
area_under_roc_curve
0.904762 [0.904762,0.904762]
area_under_roc_curve
0.913781 [0.913781,0.913781]
area_under_roc_curve
0.940115 [0.940115,0.940115]
area_under_roc_curve
0.866522 [0.866522,0.866522]
area_under_roc_curve
0.930736 [0.930736,0.930736]
area_under_roc_curve
0.859307 [0.859307,0.859307]
area_under_roc_curve
0.941919 [0.941919,0.941919]
area_under_roc_curve
0.943001 [0.943001,0.943001]
area_under_roc_curve
0.938312 [0.938312,0.938312]
area_under_roc_curve
0.92316 [0.92316,0.92316]
area_under_roc_curve
0.981241 [0.981241,0.981241]
area_under_roc_curve
0.979798 [0.979798,0.979798]
area_under_roc_curve
0.922078 [0.922078,0.922078]
area_under_roc_curve
0.988095 [0.988095,0.988095]
area_under_roc_curve
0.948413 [0.948413,0.948413]
area_under_roc_curve
0.952381 [0.952381,0.952381]
area_under_roc_curve
0.950938 [0.950938,0.950938]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.941558 [0.941558,0.941558]
area_under_roc_curve
0.985209 [0.985209,0.985209]
area_under_roc_curve
0.911616 [0.911616,0.911616]
area_under_roc_curve
0.926046 [0.926046,0.926046]
area_under_roc_curve
0.953102 [0.953102,0.953102]
area_under_roc_curve
0.914141 [0.914141,0.914141]
area_under_roc_curve
0.89899 [0.89899,0.89899]
area_under_roc_curve
0.966811 [0.966811,0.966811]
area_under_roc_curve
0.904401 [0.904401,0.904401]
area_under_roc_curve
0.893579 [0.893579,0.893579]
area_under_roc_curve
0.979437 [0.979437,0.979437]
area_under_roc_curve
0.941198 [0.941198,0.941198]
area_under_roc_curve
0.968254 [0.968254,0.968254]
area_under_roc_curve
0.902958 [0.902958,0.902958]
area_under_roc_curve
0.873737 [0.873737,0.873737]
area_under_roc_curve
0.939394 [0.939394,0.939394]
area_under_roc_curve
0.970779 [0.970779,0.970779]
area_under_roc_curve
0.953463 [0.953463,0.953463]
area_under_roc_curve
0.971501 [0.971501,0.971501]
area_under_roc_curve
0.941919 [0.941919,0.941919]
area_under_roc_curve
0.97619 [0.97619,0.97619]
area_under_roc_curve
0.924603 [0.924603,0.924603]
area_under_roc_curve
0.987374 [0.987374,0.987374]
area_under_roc_curve
0.970418 [0.970418,0.970418]
area_under_roc_curve
0.941919 [0.941919,0.941919]
area_under_roc_curve
0.914502 [0.914502,0.914502]
area_under_roc_curve
0.947691 [0.947691,0.947691]
area_under_roc_curve
0.91847 [0.91847,0.91847]
area_under_roc_curve
0.994949 [0.994949,0.994949]
area_under_roc_curve
0.910173 [0.910173,0.910173]
area_under_roc_curve
0.967893 [0.967893,0.967893]
area_under_roc_curve
0.946609 [0.946609,0.946609]
area_under_roc_curve
0.924242 [0.924242,0.924242]
area_under_roc_curve
0.891775 [0.891775,0.891775]
area_under_roc_curve
0.9329 [0.9329,0.9329]
area_under_roc_curve
0.939394 [0.939394,0.939394]
area_under_roc_curve
0.930736 [0.930736,0.930736]
area_under_roc_curve
0.966811 [0.966811,0.966811]
area_under_roc_curve
0.9614 [0.9614,0.9614]
area_under_roc_curve
0.905844 [0.905844,0.905844]
area_under_roc_curve
0.967876 [0.967876,0.967876]
area_under_roc_curve
0.928571 [0.928571,0.928571]
area_under_roc_curve
0.952713 [0.952713,0.952713]
area_under_roc_curve
0.976946 [0.976946,0.976946]
area_under_roc_curve
0.905792 [0.905792,0.905792]
area_under_roc_curve
0.877551 [0.877551,0.877551]
area_under_roc_curve
0.992063 [0.992063,0.992063]
area_under_roc_curve
0.910053 [0.910053,0.910053]
area_under_roc_curve
0.950113 [0.950113,0.950113]
area_under_roc_curve
0.844293 [0.844293,0.844293]
area_under_roc_curve
0.984883 [0.984883,0.984883]
area_under_roc_curve
0.957672 [0.957672,0.957672]
area_under_roc_curve
0.890029 [0.890029,0.890029]
area_under_roc_curve
0.986395 [0.986395,0.986395]
area_under_roc_curve
0.971774 [0.971774,0.971774]
area_under_roc_curve
0.903628 [0.903628,0.903628]
area_under_roc_curve
0.976568 [0.976568,0.976568]
area_under_roc_curve
0.944067 [0.944067,0.944067]
area_under_roc_curve
0.955404 [0.955404,0.955404]
area_under_roc_curve
0.901738 [0.901738,0.901738]
area_under_roc_curve
0.913856 [0.913856,0.913856]
area_under_roc_curve
0.977273 [0.977273,0.977273]
area_under_roc_curve
0.87226 [0.87226,0.87226]
area_under_roc_curve
0.969941 [0.969941,0.969941]
area_under_roc_curve
0.957672 [0.957672,0.957672]
area_under_roc_curve
0.985337 [0.985337,0.985337]
area_under_roc_curve
0.918255 [0.918255,0.918255]
area_under_roc_curve
0.928152 [0.928152,0.928152]
area_under_roc_curve
0.994868 [0.994868,0.994868]
area_under_roc_curve
0.983138 [0.983138,0.983138]
area_under_roc_curve
0.916422 [0.916422,0.916422]
area_under_roc_curve
0.96151 [0.96151,0.96151]
area_under_roc_curve
0.982615 [0.982615,0.982615]
area_under_roc_curve
0.920455 [0.920455,0.920455]
area_under_roc_curve
0.94709 [0.94709,0.94709]
area_under_roc_curve
0.947947 [0.947947,0.947947]
area_under_roc_curve
0.936584 [0.936584,0.936584]
area_under_roc_curve
0.86217 [0.86217,0.86217]
area_under_roc_curve
0.883798 [0.883798,0.883798]
area_under_roc_curve
0.971774 [0.971774,0.971774]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
average_cost
0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.917014 [0.837209,0.944882]
f_measure
0.952188 [0.904762,0.96875]
f_measure
0.918233 [0.844444,0.944]
f_measure
0.893303 [0.790698,0.929134]
f_measure
0.918233 [0.844444,0.944]
f_measure
0.883962 [0.782609,0.919355]
f_measure
0.952188 [0.904762,0.96875]
f_measure
0.885326 [0.791667,0.918033]
f_measure
0.952188 [0.904762,0.96875]
f_measure
0.931196 [0.875,0.95082]
f_measure
0.940724 [0.883721,0.96063]
f_measure
0.905882 [0.818182,0.936508]
f_measure
0.976094 [0.952381,0.984375]
f_measure
0.988145 [0.976744,0.992126]
f_measure
0.941595 [0.888889,0.96]
f_measure
0.988319 [0.977778,0.992]
f_measure
0.939708 [0.878049,0.96124]
f_measure
0.953585 [0.913043,0.967742]
f_measure
0.954131 [0.916667,0.967213]
f_measure
1 [1,1]
f_measure
0.896206 [0.808511,0.926829]
f_measure
0.964434 [0.930233,0.976378]
f_measure
0.919271 [0.851064,0.943089]
f_measure
0.919271 [0.851064,0.943089]
f_measure
0.963825 [0.926829,0.976744]
f_measure
0.874517 [0.77551,0.909091]
f_measure
0.886471 [0.8,0.916667]
f_measure
0.919271 [0.851064,0.943089]
f_measure
0.897332 [0.816327,0.92562]
f_measure
0.926968 [0.85,0.953846]
f_measure
0.931882 [0.88,0.95]
f_measure
0.894871 [0.8,0.928]
f_measure
0.964957 [0.933333,0.976]
f_measure
0.917014 [0.837209,0.944882]
f_measure
0.926968 [0.85,0.953846]
f_measure
0.931196 [0.875,0.95082]
f_measure
0.953585 [0.913043,0.967742]
f_measure
0.928283 [0.857143,0.953125]
f_measure
0.963825 [0.926829,0.976744]
f_measure
0.908261 [0.833333,0.934426]
f_measure
0.952941 [0.909091,0.968254]
f_measure
0.908261 [0.833333,0.934426]
f_measure
0.965402 [0.93617,0.97561]
f_measure
0.953585 [0.913043,0.967742]
f_measure
0.976094 [0.952381,0.984375]
f_measure
0.926968 [0.85,0.953846]
f_measure
0.942336 [0.893617,0.95935]
f_measure
0.952941 [0.909091,0.968254]
f_measure
0.988145 [0.976744,0.992126]
f_measure
0.894871 [0.8,0.928]
f_measure
0.942336 [0.893617,0.95935]
f_measure
0.976471 [0.954545,0.984127]
f_measure
0.897332 [0.816327,0.92562]
f_measure
0.952188 [0.904762,0.96875]
f_measure
0.928283 [0.857143,0.953125]
f_measure
0.952941 [0.909091,0.968254]
f_measure
0.917014 [0.837209,0.944882]
f_measure
0.952188 [0.904762,0.96875]
f_measure
0.964434 [0.930233,0.976378]
f_measure
0.915592 [0.829268,0.945736]
f_measure
0.975781 [0.95,0.984375]
f_measure
0.94093 [0.883721,0.96]
f_measure
0.964013 [0.930233,0.976]
f_measure
0.94093 [0.883721,0.96]
f_measure
0.883929 [0.791667,0.916667]
f_measure
0.884177 [0.782609,0.918033]
f_measure
0.963991 [0.926829,0.976378]
f_measure
0.952381 [0.904762,0.968254]
f_measure
0.97619 [0.952381,0.984127]
f_measure
0.893674 [0.790698,0.928]
f_measure
0.941734 [0.888889,0.95935]
f_measure
0.906158 [0.818182,0.935484]
f_measure
0.904762 [0.818182,0.935484]
f_measure
0.953079 [0.909091,0.967742]
f_measure
0.964537 [0.933333,0.97561]
f_measure
0.928571 [0.857143,0.952381]
f_measure
0.965041 [0.933333,0.97561]
f_measure
0.950607 [0.894737,0.969231]
f_measure
0.930506 [0.869565,0.95082]
f_measure
0.925911 [0.842105,0.953846]
f_measure
0.90325 [0.809524,0.936508]
f_measure
0.907143 [0.833333,0.933333]
f_measure
0.878906 [0.75,0.921875]
f_measure
0.914602 [0.829268,0.944882]
f_measure
0.906158 [0.818182,0.935484]
f_measure
0.964013 [0.930233,0.976]
f_measure
0.893612 [0.8,0.926829]
f_measure
0.918293 [0.851064,0.942149]
f_measure
0.97619 [0.954545,0.983871]
f_measure
0.952381 [0.909091,0.967742]
f_measure
0.919168 [0.857143,0.941176]
f_measure
0.964537 [0.933333,0.97561]
f_measure
0.97654 [0.954545,0.983871]
f_measure
0.919168 [0.857143,0.941176]
f_measure
0.950607 [0.894737,0.969231]
f_measure
0.942263 [0.897959,0.957983]
f_measure
0.964013 [0.930233,0.976]
f_measure
0.89204 [0.790698,0.928]
f_measure
0.883929 [0.791667,0.916667]
f_measure
0.97619 [0.954545,0.983871]
kappa
0.782131
kappa
0.873606
kappa
0.788482
kappa
0.719883
kappa
0.788482
kappa
0.702172
kappa
0.873606
kappa
0.71049
kappa
0.873606
kappa
0.826294
kappa
0.844379
kappa
0.75469
kappa
0.936803
kappa
0.968876
kappa
0.848916
kappa
0.969783
kappa
0.839562
kappa
0.880869
kappa
0.884196
kappa
1
kappa
0.735751
kappa
0.906628
kappa
0.794473
kappa
0.794473
kappa
0.903737
kappa
0.685925
kappa
0.718357
kappa
0.794473
kappa
0.74303
kappa
0.804448
kappa
0.831014
kappa
0.728048
kappa
0.909349
kappa
0.782131
kappa
0.804448
kappa
0.826294
kappa
0.880869
kappa
0.810409
kappa
0.903737
kappa
0.768392
kappa
0.877345
kappa
0.768392
kappa
0.911917
kappa
0.880869
kappa
0.936803
kappa
0.804448
kappa
0.853195
kappa
0.877345
kappa
0.968876
kappa
0.728048
kappa
0.853195
kappa
0.938672
kappa
0.74303
kappa
0.873606
kappa
0.810409
kappa
0.877345
kappa
0.782131
kappa
0.873606
kappa
0.906628
kappa
0.775387
kappa
0.934426
kappa
0.84375
kappa
0.90625
kappa
0.84375
kappa
0.709141
kappa
0.701493
kappa
0.903226
kappa
0.873016
kappa
0.936508
kappa
0.71875
kappa
0.848485
kappa
0.753846
kappa
0.753666
kappa
0.876923
kappa
0.90896
kappa
0.809524
kappa
0.909091
kappa
0.864407
kappa
0.820896
kappa
0.79661
kappa
0.746224
kappa
0.767313
kappa
0.672131
kappa
0.77454
kappa
0.753846
kappa
0.90625
kappa
0.726879
kappa
0.793539
kappa
0.938416
kappa
0.876833
kappa
0.79918
kappa
0.90896
kappa
0.938462
kappa
0.79918
kappa
0.864407
kappa
0.856557
kappa
0.90625
kappa
0.71875
kappa
0.709141
kappa
0.938416
kb_relative_information_score
62.033542
kb_relative_information_score
68.890258
kb_relative_information_score
62.328733
kb_relative_information_score
58.550453
kb_relative_information_score
63.646714
kb_relative_information_score
55.81169
kb_relative_information_score
71.34328
kb_relative_information_score
53.683616
kb_relative_information_score
69.366858
kb_relative_information_score
65.553777
kb_relative_information_score
66.739334
kb_relative_information_score
63.268936
kb_relative_information_score
76.489911
kb_relative_information_score
79.692026
kb_relative_information_score
69.897344
kb_relative_information_score
80.695383
kb_relative_information_score
69.980903
kb_relative_information_score
71.930749
kb_relative_information_score
70.626231
kb_relative_information_score
82.988977
kb_relative_information_score
57.264512
kb_relative_information_score
74.096715
kb_relative_information_score
61.810402
kb_relative_information_score
64.133215
kb_relative_information_score
75.842968
kb_relative_information_score
52.424773
kb_relative_information_score
52.242033
kb_relative_information_score
63.805416
kb_relative_information_score
57.98587
kb_relative_information_score
66.26481
kb_relative_information_score
67.121171
kb_relative_information_score
58.799854
kb_relative_information_score
73.740856
kb_relative_information_score
63.664019
kb_relative_information_score
64.90521
kb_relative_information_score
65.524128
kb_relative_information_score
71.864087
kb_relative_information_score
65.612129
kb_relative_information_score
74.240534
kb_relative_information_score
58.882365
kb_relative_information_score
71.311027
kb_relative_information_score
59.368148
kb_relative_information_score
72.893995
kb_relative_information_score
71.912132
kb_relative_information_score
77.49483
kb_relative_information_score
67.354955
kb_relative_information_score
68.112174
kb_relative_information_score
72.003216
kb_relative_information_score
79.795426
kb_relative_information_score
56.491416
kb_relative_information_score
66.565175
kb_relative_information_score
76.197894
kb_relative_information_score
57.331349
kb_relative_information_score
69.874957
kb_relative_information_score
67.596845
kb_relative_information_score
71.646039
kb_relative_information_score
64.268565
kb_relative_information_score
72.296821
kb_relative_information_score
75.054391
kb_relative_information_score
62.746135
kb_relative_information_score
75.078091
kb_relative_information_score
63.969051
kb_relative_information_score
72.559847
kb_relative_information_score
66.907349
kb_relative_information_score
53.912252
kb_relative_information_score
51.923671
kb_relative_information_score
72.27012
kb_relative_information_score
68.355016
kb_relative_information_score
74.224319
kb_relative_information_score
56.29056
kb_relative_information_score
67.545221
kb_relative_information_score
58.606923
kb_relative_information_score
58.350448
kb_relative_information_score
69.082479
kb_relative_information_score
72.23638
kb_relative_information_score
62.520287
kb_relative_information_score
71.305731
kb_relative_information_score
69.386744
kb_relative_information_score
63.409413
kb_relative_information_score
61.913516
kb_relative_information_score
60.316547
kb_relative_information_score
59.857587
kb_relative_information_score
53.248616
kb_relative_information_score
62.357631
kb_relative_information_score
58.703659
kb_relative_information_score
74.596743
kb_relative_information_score
57.624257
kb_relative_information_score
62.912915
kb_relative_information_score
76.370175
kb_relative_information_score
70.904001
kb_relative_information_score
60.720336
kb_relative_information_score
73.193359
kb_relative_information_score
74.352803
kb_relative_information_score
60.281685
kb_relative_information_score
70.532439
kb_relative_information_score
68.347541
kb_relative_information_score
73.213901
kb_relative_information_score
57.960641
kb_relative_information_score
53.496195
kb_relative_information_score
77.662812
mean_absolute_error
0.100203
mean_absolute_error
0.073532
mean_absolute_error
0.098318
mean_absolute_error
0.109679
mean_absolute_error
0.090434
mean_absolute_error
0.120522
mean_absolute_error
0.061251
mean_absolute_error
0.133436
mean_absolute_error
0.073277
mean_absolute_error
0.084803
mean_absolute_error
0.083518
mean_absolute_error
0.087233
mean_absolute_error
0.041093
mean_absolute_error
0.027642
mean_absolute_error
0.063684
mean_absolute_error
0.021531
mean_absolute_error
0.062823
mean_absolute_error
0.057371
mean_absolute_error
0.065432
mean_absolute_error
0.011336
mean_absolute_error
0.1177
mean_absolute_error
0.05051
mean_absolute_error
0.101979
mean_absolute_error
0.086981
mean_absolute_error
0.039403
mean_absolute_error
0.13779
mean_absolute_error
0.141288
mean_absolute_error
0.089044
mean_absolute_error
0.114326
mean_absolute_error
0.080091
mean_absolute_error
0.075147
mean_absolute_error
0.108515
mean_absolute_error
0.052101
mean_absolute_error
0.090022
mean_absolute_error
0.088727
mean_absolute_error
0.084903
mean_absolute_error
0.058212
mean_absolute_error
0.084381
mean_absolute_error
0.046629
mean_absolute_error
0.11327
mean_absolute_error
0.061267
mean_absolute_error
0.110632
mean_absolute_error
0.057566
mean_absolute_error
0.057228
mean_absolute_error
0.0353
mean_absolute_error
0.073535
mean_absolute_error
0.074818
mean_absolute_error
0.056966
mean_absolute_error
0.027281
mean_absolute_error
0.122442
mean_absolute_error
0.084524
mean_absolute_error
0.04391
mean_absolute_error
0.11698
mean_absolute_error
0.070688
mean_absolute_error
0.071588
mean_absolute_error
0.057103
mean_absolute_error
0.086188
mean_absolute_error
0.055006
mean_absolute_error
0.043997
mean_absolute_error
0.09363
mean_absolute_error
0.033572
mean_absolute_error
0.084424
mean_absolute_error
0.057618
mean_absolute_error
0.067983
mean_absolute_error
0.130426
mean_absolute_error
0.131121
mean_absolute_error
0.045036
mean_absolute_error
0.065711
mean_absolute_error
0.04188
mean_absolute_error
0.109788
mean_absolute_error
0.06465
mean_absolute_error
0.103367
mean_absolute_error
0.115151
mean_absolute_error
0.06087
mean_absolute_error
0.058929
mean_absolute_error
0.089451
mean_absolute_error
0.053916
mean_absolute_error
0.061115
mean_absolute_error
0.084587
mean_absolute_error
0.093983
mean_absolute_error
0.102429
mean_absolute_error
0.105995
mean_absolute_error
0.123173
mean_absolute_error
0.096196
mean_absolute_error
0.102536
mean_absolute_error
0.044523
mean_absolute_error
0.113151
mean_absolute_error
0.092262
mean_absolute_error
0.039611
mean_absolute_error
0.06168
mean_absolute_error
0.104429
mean_absolute_error
0.05313
mean_absolute_error
0.040707
mean_absolute_error
0.109024
mean_absolute_error
0.051339
mean_absolute_error
0.070959
mean_absolute_error
0.053155
mean_absolute_error
0.110974
mean_absolute_error
0.133233
mean_absolute_error
0.031799
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.383393
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.379127
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.384883
mean_prior_absolute_error
0.384883
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
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85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
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number_of_instances
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85 [22,63]
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85 [22,63]
number_of_instances
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number_of_instances
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number_of_instances
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85 [22,63]
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85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
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number_of_instances
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85 [22,63]
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85 [22,63]
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number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
85 [22,63]
number_of_instances
84 [21,63]
number_of_instances
84 [21,63]
number_of_instances
84 [22,62]
number_of_instances
84 [21,63]
number_of_instances
84 [22,62]
number_of_instances
84 [21,63]
number_of_instances
84 [21,63]
number_of_instances
84 [21,63]
number_of_instances
84 [21,63]
number_of_instances
84 [21,63]
number_of_instances
84 [21,63]
number_of_instances
84 [21,63]
number_of_instances
84 [22,62]
number_of_instances
84 [21,63]
number_of_instances
84 [22,62]
number_of_instances
84 [21,63]
number_of_instances
84 [21,63]
number_of_instances
84 [21,63]
number_of_instances
84 [21,63]
number_of_instances
84 [21,63]
number_of_instances
84 [22,62]
number_of_instances
84 [22,62]
number_of_instances
84 [21,63]
number_of_instances
84 [22,62]
number_of_instances
84 [21,63]
number_of_instances
84 [22,62]
number_of_instances
84 [22,62]
number_of_instances
84 [22,62]
number_of_instances
84 [22,62]
number_of_instances
84 [22,62]
number_of_instances
84 [22,62]
number_of_instances
84 [22,62]
number_of_instances
84 [21,63]
number_of_instances
84 [22,62]
number_of_instances
84 [21,63]
number_of_instances
84 [22,62]
number_of_instances
84 [22,62]
number_of_instances
84 [22,62]
number_of_instances
84 [22,62]
number_of_instances
84 [22,62]
precision
0.916702 [0.857143,0.9375]
precision
0.952851 [0.95,0.953846]
precision
0.919124 [0.826087,0.951613]
precision
0.892796 [0.809524,0.921875]
precision
0.919124 [0.826087,0.951613]
precision
0.886692 [0.75,0.934426]
precision
0.952851 [0.95,0.953846]
precision
0.89263 [0.730769,0.949153]
precision
0.952851 [0.95,0.953846]
precision
0.937664 [0.807692,0.983051]
precision
0.940607 [0.904762,0.953125]
precision
0.905882 [0.818182,0.936508]
precision
0.977195 [1,0.969231]
precision
0.988419 [1,0.984375]
precision
0.942331 [0.869565,0.967742]
precision
0.988747 [0.956522,1]
precision
0.941458 [0.947368,0.939394]
precision
0.955497 [0.875,0.983607]
precision
0.960181 [0.846154,1]
precision
1 [1,1]
precision
0.900824 [0.76,0.95]
precision
0.964513 [0.952381,0.96875]
precision
0.923529 [0.8,0.966667]
precision
0.923529 [0.8,0.966667]
precision
0.96631 [1,0.954545]
precision
0.884975 [0.703704,0.948276]
precision
0.900044 [0.714286,0.964912]
precision
0.923529 [0.8,0.966667]
precision
0.90734 [0.740741,0.965517]
precision
0.930309 [0.944444,0.925373]
precision
0.944538 [0.785714,1]
precision
0.895916 [0.782609,0.935484]
precision
0.965539 [0.913043,0.983871]
precision
0.916702 [0.857143,0.9375]
precision
0.930309 [0.944444,0.925373]
precision
0.937664 [0.807692,0.983051]
precision
0.955497 [0.875,0.983607]
precision
0.928507 [0.9,0.938462]
precision
0.96631 [1,0.954545]
precision
0.915147 [0.769231,0.966102]
precision
0.952941 [0.909091,0.968254]
precision
0.915147 [0.769231,0.966102]
precision
0.968941 [0.88,1]
precision
0.955497 [0.875,0.983607]
precision
0.977195 [1,0.969231]
precision
0.930309 [0.944444,0.925373]
precision
0.946235 [0.84,0.983333]
precision
0.952941 [0.909091,0.968254]
precision
0.988419 [1,0.984375]
precision
0.895916 [0.782609,0.935484]
precision
0.946235 [0.84,0.983333]
precision
0.976471 [0.954545,0.984127]
precision
0.90734 [0.740741,0.965517]
precision
0.952851 [0.95,0.953846]
precision
0.928507 [0.9,0.938462]
precision
0.952941 [0.909091,0.968254]
precision
0.916702 [0.857143,0.9375]
precision
0.952851 [0.95,0.953846]
precision
0.964513 [0.952381,0.96875]
precision
0.916606 [0.894737,0.924242]
precision
0.976923 [1,0.969231]
precision
0.941716 [0.863636,0.967742]
precision
0.964097 [0.952381,0.968254]
precision
0.941716 [0.863636,0.967742]
precision
0.89131 [0.730769,0.948276]
precision
0.891864 [0.72,0.949153]
precision
0.964063 [0.95,0.96875]
precision
0.952381 [0.904762,0.968254]
precision
0.97619 [0.952381,0.984127]
precision
0.894795 [0.772727,0.935484]
precision
0.945833 [0.833333,0.983333]
precision
0.908767 [0.782609,0.95082]
precision
0.904762 [0.818182,0.935484]
precision
0.955096 [0.869565,0.983607]
precision
0.965126 [0.913043,0.983607]
precision
0.928571 [0.857143,0.952381]
precision
0.96875 [0.875,1]
precision
0.955224 [1,0.940299]
precision
0.937288 [0.8,0.983051]
precision
0.929324 [0.941176,0.925373]
precision
0.903051 [0.85,0.921875]
precision
0.914109 [0.769231,0.965517]
precision
0.878138 [0.789474,0.907692]
precision
0.915655 [0.894737,0.923077]
precision
0.908767 [0.782609,0.95082]
precision
0.964097 [0.952381,0.968254]
precision
0.894664 [0.782609,0.934426]
precision
0.922599 [0.8,0.966102]
precision
0.97619 [0.954545,0.983871]
precision
0.952381 [0.909091,0.967742]
precision
0.92885 [0.777778,0.982456]
precision
0.965126 [0.913043,0.983607]
precision
0.978261 [0.913043,1]
precision
0.92885 [0.777778,0.982456]
precision
0.955224 [1,0.940299]
precision
0.951499 [0.814815,1]
precision
0.964097 [0.952381,0.968254]
precision
0.891534 [0.809524,0.920635]
precision
0.89131 [0.730769,0.948276]
precision
0.97619 [0.954545,0.983871]
predictive_accuracy
0.917647
predictive_accuracy
0.952941
predictive_accuracy
0.917647
predictive_accuracy
0.894118
predictive_accuracy
0.917647
predictive_accuracy
0.882353
predictive_accuracy
0.952941
predictive_accuracy
0.882353
predictive_accuracy
0.952941
predictive_accuracy
0.929412
predictive_accuracy
0.941176
predictive_accuracy
0.905882
predictive_accuracy
0.976471
predictive_accuracy
0.988235
predictive_accuracy
0.941176
predictive_accuracy
0.988235
predictive_accuracy
0.941176
predictive_accuracy
0.952941
predictive_accuracy
0.952941
predictive_accuracy
1
predictive_accuracy
0.894118
predictive_accuracy
0.964706
predictive_accuracy
0.917647
predictive_accuracy
0.917647
predictive_accuracy
0.964706
predictive_accuracy
0.870588
predictive_accuracy
0.882353
predictive_accuracy
0.917647
predictive_accuracy
0.894118
predictive_accuracy
0.929412
predictive_accuracy
0.929412
predictive_accuracy
0.894118
predictive_accuracy
0.964706
predictive_accuracy
0.917647
predictive_accuracy
0.929412
predictive_accuracy
0.929412
predictive_accuracy
0.952941
predictive_accuracy
0.929412
predictive_accuracy
0.964706
predictive_accuracy
0.905882
predictive_accuracy
0.952941
predictive_accuracy
0.905882
predictive_accuracy
0.964706
predictive_accuracy
0.952941
predictive_accuracy
0.976471
predictive_accuracy
0.929412
predictive_accuracy
0.941176
predictive_accuracy
0.952941
predictive_accuracy
0.988235
predictive_accuracy
0.894118
predictive_accuracy
0.941176
predictive_accuracy
0.976471
predictive_accuracy
0.894118
predictive_accuracy
0.952941
predictive_accuracy
0.929412
predictive_accuracy
0.952941
predictive_accuracy
0.917647
predictive_accuracy
0.952941
predictive_accuracy
0.964706
predictive_accuracy
0.917647
predictive_accuracy
0.97619
predictive_accuracy
0.940476
predictive_accuracy
0.964286
predictive_accuracy
0.940476
predictive_accuracy
0.880952
predictive_accuracy
0.880952
predictive_accuracy
0.964286
predictive_accuracy
0.952381
predictive_accuracy
0.97619
predictive_accuracy
0.892857
predictive_accuracy
0.940476
predictive_accuracy
0.904762
predictive_accuracy
0.904762
predictive_accuracy
0.952381
predictive_accuracy
0.964286
predictive_accuracy
0.928571
predictive_accuracy
0.964286
predictive_accuracy
0.952381
predictive_accuracy
0.928571
predictive_accuracy
0.928571
predictive_accuracy
0.904762
predictive_accuracy
0.904762
predictive_accuracy
0.880952
predictive_accuracy
0.916667
predictive_accuracy
0.904762
predictive_accuracy
0.964286
predictive_accuracy
0.892857
predictive_accuracy
0.916667
predictive_accuracy
0.97619
predictive_accuracy
0.952381
predictive_accuracy
0.916667
predictive_accuracy
0.964286
predictive_accuracy
0.97619
predictive_accuracy
0.916667
predictive_accuracy
0.952381
predictive_accuracy
0.940476
predictive_accuracy
0.964286
predictive_accuracy
0.892857
predictive_accuracy
0.880952
predictive_accuracy
0.97619
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
prior_entropy
0.824101
recall
0.917647 [0.818182,0.952381]
recall
0.952941 [0.863636,0.984127]
recall
0.917647 [0.863636,0.936508]
recall
0.894118 [0.772727,0.936508]
recall
0.917647 [0.863636,0.936508]
recall
0.882353 [0.818182,0.904762]
recall
0.952941 [0.863636,0.984127]
recall
0.882353 [0.863636,0.888889]
recall
0.952941 [0.863636,0.984127]
recall
0.929412 [0.954545,0.920635]
recall
0.941176 [0.863636,0.968254]
recall
0.905882 [0.818182,0.936508]
recall
0.976471 [0.909091,1]
recall
0.988235 [0.954545,1]
recall
0.941176 [0.909091,0.952381]
recall
0.988235 [1,0.984127]
recall
0.941176 [0.818182,0.984127]
recall
0.952941 [0.954545,0.952381]
recall
0.952941 [1,0.936508]
recall
1 [1,1]
recall
0.894118 [0.863636,0.904762]
recall
0.964706 [0.909091,0.984127]
recall
0.917647 [0.909091,0.920635]
recall
0.917647 [0.909091,0.920635]
recall
0.964706 [0.863636,1]
recall
0.870588 [0.863636,0.873016]
recall
0.882353 [0.909091,0.873016]
recall
0.917647 [0.909091,0.920635]
recall
0.894118 [0.909091,0.888889]
recall
0.929412 [0.772727,0.984127]
recall
0.929412 [1,0.904762]
recall
0.894118 [0.818182,0.920635]
recall
0.964706 [0.954545,0.968254]
recall
0.917647 [0.818182,0.952381]
recall
0.929412 [0.772727,0.984127]
recall
0.929412 [0.954545,0.920635]
recall
0.952941 [0.954545,0.952381]
recall
0.929412 [0.818182,0.968254]
recall
0.964706 [0.863636,1]
recall
0.905882 [0.909091,0.904762]
recall
0.952941 [0.909091,0.968254]
recall
0.905882 [0.909091,0.904762]
recall
0.964706 [1,0.952381]
recall
0.952941 [0.954545,0.952381]
recall
0.976471 [0.909091,1]
recall
0.929412 [0.772727,0.984127]
recall
0.941176 [0.954545,0.936508]
recall
0.952941 [0.909091,0.968254]
recall
0.988235 [0.954545,1]
recall
0.894118 [0.818182,0.920635]
recall
0.941176 [0.954545,0.936508]
recall
0.976471 [0.954545,0.984127]
recall
0.894118 [0.909091,0.888889]
recall
0.952941 [0.863636,0.984127]
recall
0.929412 [0.818182,0.968254]
recall
0.952941 [0.909091,0.968254]
recall
0.917647 [0.818182,0.952381]
recall
0.952941 [0.863636,0.984127]
recall
0.964706 [0.909091,0.984127]
recall
0.917647 [0.772727,0.968254]
recall
0.97619 [0.904762,1]
recall
0.940476 [0.904762,0.952381]
recall
0.964286 [0.909091,0.983871]
recall
0.940476 [0.904762,0.952381]
recall
0.880952 [0.863636,0.887097]
recall
0.880952 [0.857143,0.888889]
recall
0.964286 [0.904762,0.984127]
recall
0.952381 [0.904762,0.968254]
recall
0.97619 [0.952381,0.984127]
recall
0.892857 [0.809524,0.920635]
recall
0.940476 [0.952381,0.936508]
recall
0.904762 [0.857143,0.920635]
recall
0.904762 [0.818182,0.935484]
recall
0.952381 [0.952381,0.952381]
recall
0.964286 [0.954545,0.967742]
recall
0.928571 [0.857143,0.952381]
recall
0.964286 [1,0.952381]
recall
0.952381 [0.809524,1]
recall
0.928571 [0.952381,0.920635]
recall
0.928571 [0.761905,0.984127]
recall
0.904762 [0.772727,0.951613]
recall
0.904762 [0.909091,0.903226]
recall
0.880952 [0.714286,0.936508]
recall
0.916667 [0.772727,0.967742]
recall
0.904762 [0.857143,0.920635]
recall
0.964286 [0.909091,0.983871]
recall
0.892857 [0.818182,0.919355]
recall
0.916667 [0.909091,0.919355]
recall
0.97619 [0.954545,0.983871]
recall
0.952381 [0.909091,0.967742]
recall
0.916667 [0.954545,0.903226]
recall
0.964286 [0.954545,0.967742]
recall
0.97619 [1,0.968254]
recall
0.916667 [0.954545,0.903226]
recall
0.952381 [0.809524,1]
recall
0.940476 [1,0.919355]
recall
0.964286 [0.909091,0.983871]
recall
0.892857 [0.772727,0.935484]
recall
0.880952 [0.863636,0.887097]
recall
0.97619 [0.954545,0.983871]
relative_absolute_error
0.261358
relative_absolute_error
0.191792
relative_absolute_error
0.256441
relative_absolute_error
0.286074
relative_absolute_error
0.235879
relative_absolute_error
0.314357
relative_absolute_error
0.15976
relative_absolute_error
0.348038
relative_absolute_error
0.191127
relative_absolute_error
0.22119
relative_absolute_error
0.21784
relative_absolute_error
0.227528
relative_absolute_error
0.107183
relative_absolute_error
0.072097
relative_absolute_error
0.166105
relative_absolute_error
0.056159
relative_absolute_error
0.16386
relative_absolute_error
0.149639
relative_absolute_error
0.170666
relative_absolute_error
0.029569
relative_absolute_error
0.306996
relative_absolute_error
0.131746
relative_absolute_error
0.265989
relative_absolute_error
0.226871
relative_absolute_error
0.102774
relative_absolute_error
0.359395
relative_absolute_error
0.368518
relative_absolute_error
0.232252
relative_absolute_error
0.298195
relative_absolute_error
0.208901
relative_absolute_error
0.196006
relative_absolute_error
0.283037
relative_absolute_error
0.135895
relative_absolute_error
0.234803
relative_absolute_error
0.231425
relative_absolute_error
0.221451
relative_absolute_error
0.151834
relative_absolute_error
0.220091
relative_absolute_error
0.121621
relative_absolute_error
0.295441
relative_absolute_error
0.159802
relative_absolute_error
0.288561
relative_absolute_error
0.150148
relative_absolute_error
0.149267
relative_absolute_error
0.092073
relative_absolute_error
0.1918
relative_absolute_error
0.195147
relative_absolute_error
0.148585
relative_absolute_error
0.071157
relative_absolute_error
0.319364
relative_absolute_error
0.220463
relative_absolute_error
0.11453
relative_absolute_error
0.305119
relative_absolute_error
0.184375
relative_absolute_error
0.186723
relative_absolute_error
0.14894
relative_absolute_error
0.224803
relative_absolute_error
0.14347
relative_absolute_error
0.114756
relative_absolute_error
0.244213
relative_absolute_error
0.08855
relative_absolute_error
0.222679
relative_absolute_error
0.149702
relative_absolute_error
0.179314
relative_absolute_error
0.338872
relative_absolute_error
0.34585
relative_absolute_error
0.118787
relative_absolute_error
0.173321
relative_absolute_error
0.110465
relative_absolute_error
0.289582
relative_absolute_error
0.170522
relative_absolute_error
0.272645
relative_absolute_error
0.299185
relative_absolute_error
0.160553
relative_absolute_error
0.153108
relative_absolute_error
0.235938
relative_absolute_error
0.142211
relative_absolute_error
0.1612
relative_absolute_error
0.22311
relative_absolute_error
0.247892
relative_absolute_error
0.266131
relative_absolute_error
0.275395
relative_absolute_error
0.324887
relative_absolute_error
0.249935
relative_absolute_error
0.270453
relative_absolute_error
0.115678
relative_absolute_error
0.293987
relative_absolute_error
0.239714
relative_absolute_error
0.102917
relative_absolute_error
0.160255
relative_absolute_error
0.271326
relative_absolute_error
0.138041
relative_absolute_error
0.10737
relative_absolute_error
0.283265
relative_absolute_error
0.135414
relative_absolute_error
0.184366
relative_absolute_error
0.138107
relative_absolute_error
0.288333
relative_absolute_error
0.346165
relative_absolute_error
0.082621
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.437989
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.433091
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.439686
root_mean_prior_squared_error
0.439686
root_mean_squared_error
0.268311
root_mean_squared_error
0.223831
root_mean_squared_error
0.281363
root_mean_squared_error
0.299835
root_mean_squared_error
0.273608
root_mean_squared_error
0.328187
root_mean_squared_error
0.212417
root_mean_squared_error
0.336696
root_mean_squared_error
0.213634
root_mean_squared_error
0.259872
root_mean_squared_error
0.229899
root_mean_squared_error
0.261016
root_mean_squared_error
0.158019
root_mean_squared_error
0.114213
root_mean_squared_error
0.242152
root_mean_squared_error
0.111187
root_mean_squared_error
0.229297
root_mean_squared_error
0.217678
root_mean_squared_error
0.221276
root_mean_squared_error
0.04073
root_mean_squared_error
0.301526
root_mean_squared_error
0.172222
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