302564
2
Joaquin Vanschoren
1887
Supervised Classification
predictive_accuracy
1165
weka.A1DE(4)
1918
weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE -- -F 1 -M 1.0
F
1
1165
M
1.0
1165
weka
weka_3.7.12
7
audiology
https://www.openml.org/data/download/7/dataset_7_audiology.arff
-1
1023878
description
https://api.openml.org/data/download/1023878/weka_generated_run8521399083465163005.xml
-1
1023881
model_readable
https://api.openml.org/data/download/1023881/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE2833986934846833892.model
-1
1023880
model_serialized
https://api.openml.org/data/download/1023880/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE8781446195018186122.model
-1
1023879
predictions
https://api.openml.org/data/download/1023879/weka_generated_predictions390391621414043113.arff
area_under_roc_curve
0.960511 [0.468444,0.468667,0.994164,0.989135,0.479778,0.907522,0.98466,0.959403,0.938348,0.998098,0.686306,0.959932,0.881094,0.988839,0.999514,0.997743,0.487556,0.995056,0.969661,0.884144,0.487556,0.996689,0.952675,0.710871]
average_cost
0
f_measure
0.71209 [0,0,0.925193,0.862302,0,0,0.8125,0.807217,0,0.731707,0,0,0,0,0.786026,0,0,0,0.666667,0,0,0.606061,0.70922,0]
kappa
0.707986
kb_relative_information_score
1416.747522
mean_absolute_error
0.022845
mean_prior_absolute_error
0.072392
number_of_instances
2260 [10,10,570,220,10,20,200,480,20,60,20,40,20,20,90,30,10,20,220,40,10,40,80,20]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.682923 [0,0,0.907251,0.856502,0,0,0.782407,0.74171,0,0.576923,0,0,0,0,0.647482,0,0,0,0.618677,0,0,0.769231,0.819672,0]
predictive_accuracy
0.753097
prior_entropy
3.634907
recall
0.753097 [0,0,0.94386,0.868182,0,0,0.845,0.885417,0,1,0,0,0,0,1,0,0,0,0.722727,0,0,0.5,0.625,0]
relative_absolute_error
0.315569
root_mean_prior_squared_error
0.189308
root_mean_squared_error
0.126574
root_relative_squared_error
0.668614
scimark_benchmark
933.116529 [547.4703642434524, 1005.4552756626294, 480.2065271424506, 903.6332970563399, 1728.8171800653784]
total_cost
0
usercpu_time_millis
60
usercpu_time_millis_testing
50
usercpu_time_millis_training
10
area_under_roc_curve
0.973916 [0.0,0.0,1,1,0.0,0.977273,0.952381,0.922222,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,1,0.97619,0.954545,0.0,0.0,1,0.0]
area_under_roc_curve
0.991562 [0.0,0.0,1,1,0.0,0.0,1,0.988889,1,1,0.0,0.0,1,0.0,1,0.0,0.0,0.0,0.97619,0.909091,0.0,0.0,1,0.0]
area_under_roc_curve
0.964552 [0.5,0.0,1,1,0.0,0.0,1,0.955556,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.0,1,0.97619,0.954545,0.0,1,0.0,0.0]
area_under_roc_curve
0.966897 [0.0,0.0,0.977778,1,0.0,0.0,0.97619,0.986842,0.0,1,0.5,0.0,0.0,0.0,1,1,0.0,0.0,0.983333,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.990024 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,1,0.954545,0.0,0.0,0.0,1,0.0,0.0,0.0,0.97619,0.863636,0.0,0.0,1,1]
area_under_roc_curve
0.931658 [0.0,0.0,1,0.966667,0.0,0.0,1,0.833333,0.0,0.0,0.5,0.0,0.0,0.0,1,1,0.0,0.0,0.97619,0.0,0.0,1,0.909091,0.0]
area_under_roc_curve
0.995859 [0.0,0.0,1,0.952381,0.0,0.0,1,1,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,1,0.0]
area_under_roc_curve
0.984636 [0.0,0.0,1,1,0.0,0.0,0.952381,0.947368,0.0,1,0.0,1,0.0,1,1,1,0.0,0.0,0.97619,0.0,0.0,1,0.0,0.0]
area_under_roc_curve
0.960067 [0.0,0.0,1,1,0.0,0.0,1,0.844444,1,1,1,0.0,0.954545,0.0,1,0.0,0.0,0.0,0.952381,0.0,0.0,0.0,1,0.0]
area_under_roc_curve
0.966874 [0.0,0.0,1,1,0.0,0.0,1,0.866667,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,0.952381,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.974982 [0.0,0.0,0.990196,1,0.0,0.931818,0.952381,0.988889,0.0,0.0,1,0.0,0.977273,0.0,1,0.0,0.0,0.0,0.97619,0.772727,0.0,0.0,1,0.0]
area_under_roc_curve
0.991813 [0.0,0.0,1,0.928571,0.0,0.0,1,1,0.954545,1,0.0,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0,0.0,0.0,1,1]
area_under_roc_curve
1 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.0,1,1,0.0,0.0,1,0.0,1]
area_under_roc_curve
0.988362 [0.0,0.0,0.988889,1,0.0,0.0,1,0.966667,0.0,1,1,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,0.954545,0.0]
area_under_roc_curve
0.97136 [0.0,0.0,1,1,0.0,0.0,1,0.977778,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,1,0.97619,1,0.0,0.0,1,0.5]
area_under_roc_curve
0.97343 [0.0,0.0,1,1,0.0,0.0,1,0.977778,0.0,0.0,1,0.0,0.0,1,0.0,0.0,0.5,1,1,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.994871 [0.0,0.0,1,1,0.0,0.977273,0.952381,1,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,1,0.0]
area_under_roc_curve
0.952933 [0.5,0.0,1,0.95,0.0,0.0,1,0.973684,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,0.966667,0.0,0.0,0.0,0.772727,0.0]
area_under_roc_curve
0.971893 [0.0,0.5,1,1,0.0,0.0,1,0.988889,1,0.0,0.0,0.0,0.954545,0.0,1,0.0,0.0,0.0,1,0.954545,0.0,0.0,1,0.0]
area_under_roc_curve
0.959957 [0.0,0.0,1,0.952381,0.0,0.0,1,0.966667,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.5,1,0.840909,0.0]
area_under_roc_curve
0.932757 [0.0,0.0,0.970588,0.928571,0.0,0.0,1,1,0.0,0.0,0.5,0.0,1,0.0,1,0.0,0.0,0.0,1,0.909091,0.5,0.0,0.863636,0.0]
area_under_roc_curve
0.968097 [0.0,0.0,1,0.952381,0.0,0.0,0.97619,1,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0,0.0,0.0,0.909091,0.5]
area_under_roc_curve
0.962671 [0.0,0.0,0.980392,0.95,0.0,0.0,1,1,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,0.909091,0.5]
area_under_roc_curve
0.94686 [0.5,0.5,1,1,0.0,0.0,1,0.955556,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0]
area_under_roc_curve
0.980065 [0.0,0.0,1,0.952381,0.0,0.0,1,0.977778,0.0,1,0.0,0.954545,0.954545,0.0,1,1,0.0,1,0.97619,0.0,0.0,0.0,0.886364,0.0]
area_under_roc_curve
1 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,0.0,1,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.992001 [0.0,0.0,1,1,0.0,1,0.97619,1,0.0,1,0.0,0.909091,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,0.954545,0.0]
area_under_roc_curve
0.975845 [0.0,0.5,1,1,0.0,0.0,1,0.988889,0.0,1,0.0,1,0.0,0.0,1,0.0,0.0,1,1,0.0,0.0,0.0,1,0.0]
area_under_roc_curve
0.956177 [0.0,0.0,1,0.97619,0.5,1,0.928571,0.955556,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.952381,1,0.0,1,1,0.0]
area_under_roc_curve
0.988613 [0.0,0.0,1,1,0.0,0.0,0.952381,0.966667,1,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.967219 [0.5,0.0,1,1,0.0,0.0,1,0.977778,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.0,0.928571,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.951932 [0.0,0.0,1,1,0.0,0.0,1,0.988889,0.0,0.0,0.5,1,0.0,0.0,0.0,1,0.5,0.0,0.983333,0.0,0.0,1,0.0,0.0]
area_under_roc_curve
0.988268 [0.0,0.0,1,1,0.0,0.0,0.97619,0.955556,1,1,1,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.977226 [0.0,0.0,1,1,0.0,1,1,0.933333,0.0,1,0.0,0.0,1,1,1,0.0,0.0,1,0.904762,0.0,0.0,0.0,0.0,0.0]
area_under_roc_curve
0.990024 [0.0,0.0,1,1,0.0,0.0,1,1,0.954545,1,0.0,0.954545,0.954545,0.0,1,1,0.0,0.0,0.97619,0.0,0.0,0.0,0.954545,0.0]
area_under_roc_curve
0.990024 [0.0,0.0,1,1,0.0,0.0,1,1,1,1,0.0,0.909091,0.0,0.0,1,0.0,0.0,0.0,0.97619,0.909091,0.0,1,1,0.0]
area_under_roc_curve
0.987813 [0.0,0.0,1,1,0.0,0.0,1,0.966667,1,0.0,0.0,0.954545,0.931818,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.0]
area_under_roc_curve
0.969634 [0.0,0.0,1,1,0.0,1,0.952381,0.988889,0.0,1,0.0,1,0.0,0.0,1,0.0,0.0,1,0.97619,0.0,0.5,0.0,1,0.0]
area_under_roc_curve
0.974591 [0.0,0.0,1,1,0.0,1,0.97619,0.966667,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.0,0.928571,0.772727,0.0,1,1,0.0]
area_under_roc_curve
0.956522 [0.5,0.0,1,1,0.0,0.0,0.880952,0.966667,1,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.952381,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.976285 [0.0,0.0,1,1,0.5,0.0,1,1,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.0,1,0.0,0.0,1,0.954545,0.0]
area_under_roc_curve
0.978261 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.5,1,0.0,0.0]
area_under_roc_curve
0.918422 [0.0,0.0,0.990196,1,0.5,0.0,1,0.855556,1,1,0.5,0.0,0.0,0.0,1,0.0,0.0,0.0,0.952381,0.0,0.0,0.0,1,0.0]
area_under_roc_curve
0.974214 [0.0,0.0,1,1,0.0,0.954545,0.97619,1,0.0,1,0.0,0.0,1,0.0,1,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.5]
area_under_roc_curve
0.966184 [0.0,0.0,0.988889,1,0.0,0.0,1,0.955556,1,0.0,0.0,1,0.0,1,1,1,0.5,0.0,1,0.0,0.0,1,0.0,0.0]
area_under_roc_curve
0.979425 [0.0,0.0,1,1,0.0,0.0,1,0.973684,0.954545,1,0.0,0.954545,1,0.0,1,0.0,0.0,0.0,0.952381,0.818182,0.0,0.0,1,0.0]
area_under_roc_curve
0.968698 [0.0,0.0,0.990196,0.983333,0.0,0.0,1,0.977778,1,0.0,0.0,0.0,1,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.5]
area_under_roc_curve
0.912102 [0.0,0.0,1,1,0.5,0.954545,0.952381,0.833333,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.97619,1,0.0,0.0,1,0.5]
area_under_roc_curve
0.95549 [0.0,0.0,1,0.95,0.0,0.0,1,0.988889,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.0,1,0.909091,0.5,1,0.772727,0.0]
area_under_roc_curve
0.964707 [0.0,0.0,0.980392,1,0.5,0.0,1,0.988889,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.0,0.97619,0.909091,0.0,0.0,1,1]
area_under_roc_curve
0.964552 [0.0,0.0,1,1,0.0,0.0,1,0.955556,0.0,1,0.0,0.954545,0.0,0.0,1,0.0,0.5,0.0,0.97619,0.0,0.0,1,1,1]
area_under_roc_curve
0.971014 [0.0,0.0,1,1,0.5,0.0,1,0.966667,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.969005 [0.0,0.0,0.980392,1,0.0,1,0.952381,1,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.5,0.0,1,0.0]
area_under_roc_curve
0.974308 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,1,0.0,1,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.5,0.0,0.909091,1]
area_under_roc_curve
0.939532 [0.0,0.0,0.970588,1,0.0,0.0,1,0.866667,0.0,0.0,0.0,1,0.0,1,1,0.0,0.0,0.0,0.97619,0.0,0.5,1,0.0,0.0]
area_under_roc_curve
0.98717 [0.0,0.0,0.988889,1,0.0,1,0.97619,0.988889,0.0,1,0.0,0.909091,1,0.0,1,0.0,0.0,0.0,1,0.954545,0.0,0.0,1,0.0]
area_under_roc_curve
0.946452 [0.0,0.0,1,1,0.0,0.0,0.904762,0.966667,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.5,1,0.880952,0.863636,0.0,1,1,1]
area_under_roc_curve
0.937071 [0.0,0.0,0.980392,0.97619,0.0,0.0,1,0.944444,0.954545,0.0,0.0,0.0,0.909091,0.0,0.0,0.0,0.5,0.0,0.952381,0.818182,0.0,0.0,0.909091,1]
area_under_roc_curve
0.961594 [0.5,0.0,0.966667,0.983333,0.0,0.0,1,0.966667,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.934212 [0.0,0.0,1,1,0.0,0.0,1,0.955556,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.5,0.0,0.933333,0.909091,0.0,0.0,0.0,0.5]
area_under_roc_curve
0.937968 [0.0,0.0,1,1,0.0,0.0,1,0.847059,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,0.95,0.0,0.0,1,0.0,0.5]
area_under_roc_curve
0.922326 [0.5,0.0,1,1,0.0,0.0,1,0.788235,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.0,0.0,0.925,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.987834 [0.0,0.0,1,0.975,0.0,1,0.975,0.976471,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.975,0.0,0.0,0.0,1,0.0]
area_under_roc_curve
0.931065 [0.0,0.0,0.989583,1,0.0,0.0,1,0.788235,1,0.0,0.0,0.952381,0.0,0.0,1,0.0,0.0,0.0,0.85,0.952381,0.0,0.0,1,0.0]
area_under_roc_curve
0.961005 [0.0,0.0,1,1,0.5,0.0,0.9,1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.947368,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.930297 [0.0,0.0,0.988235,0.975,0.0,1,0.95,0.894118,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.9,0.904762,0.0,0.0,1,0.5]
area_under_roc_curve
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area_under_roc_curve
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0.71267 [0,0,0.727273,0.75,0,0,1,0.888889,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,1,0,0]
f_measure
0.735793 [0,0,0.909091,1,0,0,0.8,0.888889,0,0.666667,0,0,0,0,0.666667,0,0,0,1,0,0,0,1,0]
f_measure
0.520497 [0,0,0.8,0.8,0,0,0,0.714286,0,0,0,0,0,0,1,0,0,0,0.4,0,0,0,1,0]
f_measure
0.62556 [0,0,0.909091,0.8,0,0,1,0.8,0,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,0,0]
f_measure
0.836 [0,0,0.888889,0.857143,0,0,1,0.909091,0,1,0,0,0,0,0.666667,0,0,0,1,0,0,1,1,0]
f_measure
0.619662 [0,0,0.888889,0.857143,0,0,0.8,0.727273,0,0,0,0,0,0,1,0,0,0,0.333333,0,0,0,0,0]
f_measure
0.65978 [0,0,0.909091,1,0,0,1,0.727273,0,0.666667,0,0,0,0,0.666667,0,0,0,0.5,0,0,0,0,0]
f_measure
0.738567 [0,0,0.909091,0.8,0,0,0.666667,0.727273,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,1,1,0]
f_measure
0.773511 [0,0,0.923077,0.666667,0,0,0.8,0.909091,0,1,0,0,0,0,0.666667,0,0,0,0.666667,0,0,0,1,0]
f_measure
0.612354 [0,0,0.923077,0.666667,0,0,0.8,0.6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0]
f_measure
0.723543 [0,0,0.923077,1,0,0,0.666667,0.769231,0,0,0,0,0,0,0,0,0,0,0.4,0,0,0,1,0]
f_measure
0.676309 [0,0,0.909091,0.666667,0,0,0.666667,0.666667,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0]
f_measure
0.67741 [0,0,1,0.8,0,0,1,0.727273,0,0,0,0,0,0,0.666667,0,0,0,0.5,0,0,1,0,0]
f_measure
0.76912 [0,0,1,1,0,0,0.666667,0.888889,0,0,0,0,0,0,1,0,0,0,0.571429,0,0,0,1,0]
f_measure
0.809642 [0,0,1,1,0,0,1,0.909091,0,1,0,0,0,0,0.666667,0,0,0,0.8,0,0,0,1,0]
f_measure
0.65873 [0,0,0.888889,0.857143,0,0,0.571429,0.666667,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
f_measure
0.716253 [0,0,0.909091,0.666667,0,0,1,0.909091,0,0.666667,0,0,0,0,0.666667,0,0,0,0.666667,0,0,0,0,0]
f_measure
0.709091 [0,0,1,1,0,0,0.8,0.8,0,0.666667,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0]
f_measure
0.626845 [0,0,0.888889,0.666667,0,0,0.666667,0.769231,0,0.5,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0]
f_measure
0.736915 [0,0,1,1,0,0,0.5,0.909091,0,0,0,0,0,0,0.666667,0,0,0,0.5,0,0,0,1,0]
f_measure
0.775758 [0,0,1,1,0,0,0.666667,0.666667,0,0,0,0,0,0,1,0,0,0,0.8,0,0,1,0,0]
f_measure
0.734848 [0,0,0.833333,0.666667,0,0,1,0.833333,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
f_measure
0.693362 [0,0,0.8,1,0,0,1,0.888889,0,0.666667,0,0,0,0,0,0,0,0,0.571429,0,0,0,1,0]
f_measure
0.731267 [0,0,0.909091,1,0,0,1,0.833333,0,0,0,0,0,0,0.666667,0,0,0,0.4,0,0,0,1,0]
f_measure
0.642857 [0,0,0.833333,1,0,0,0.666667,0.666667,0,0.666667,0,0,0,0,0,0,0,0,0.571429,0,0,0,0.666667,0]
f_measure
0.748485 [0,0,1,0.8,0,0,0.8,1,0,0,0,0,0,0,0.666667,0,0,0,0.8,0,0,0,1,0]
f_measure
0.694172 [0,0,0.923077,1,0,0,0.666667,0.8,0,1,0,0,0,0,0,0,0,0,0.4,0,0,0,1,0]
f_measure
0.694949 [0,0,0.833333,0.666667,0,0,0.8,0.888889,0,1,0,0,0,0,1,0,0,0,0.4,0,0,0,1,0]
f_measure
0.688574 [0,0,0.909091,1,0,0,0.666667,0.888889,0,0,0,0,0,0,1,0,0,0,0.571429,0,0,0,1,0]
f_measure
0.592075 [0,0,0.615385,0.333333,0,0,0.666667,1,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0]
f_measure
0.772222 [0,0,1,1,0,0,0.8,0.888889,0,1,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,1,0]
f_measure
0.681159 [0,0,0.909091,0.8,0,0,0.4,0.75,0,1,0,0,0,0,0.666667,0,0,0,0.571429,0,0,0,0,0]
f_measure
0.657025 [0,0,0.909091,0.8,0,0,1,0.6,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0]
f_measure
0.834091 [0,0,1,1,0,0,0.8,0.75,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
f_measure
0.618415 [0,0,0.923077,0.666667,0,0,0,0.666667,0,1,0,0,0,0,0.666667,0,0,0,0.8,0,0,0,0,0]
f_measure
0.715385 [0,0,0.923077,0.666667,0,0,1,0.8,0,1,0,0,0,0,0.666667,0,0,0,1,0,0,0,0,0]
f_measure
0.782999 [0,0,0.909091,0.857143,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
f_measure
0.61645 [0,0,0.8,0.666667,0,0,0.666667,0.857143,0,0.666667,0,0,0,0,0.666667,0,0,0,0.666667,0,0,0,0,0]
f_measure
0.630854 [0,0,0.909091,0.666667,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,0,0]
f_measure
0.759091 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,0,0,0,0,0.5,0,0,1,1,0]
f_measure
0.721212 [0,0,1,1,0,0,0.5,0.8,0,0.666667,0,0,0,0,0.666667,0,0,0,0.666667,0,0,0,1,0]
f_measure
0.641492 [0,0,0.833333,1,0,0,0,0.769231,0,0,0,0,0,0,0.666667,0,0,0,0.8,0,0,0,0,0]
f_measure
0.718182 [0,0,1,1,0,0,0.8,0.5,0,1,0,0,0,0,1,0,0,0,0.4,0,0,0,1,0]
f_measure
0.697954 [0,0,0.857143,0,0,0,1,0.909091,0,1,0,0,0,0,0.666667,0,0,0,1,0,0,0,0,0]
f_measure
0.742424 [0,0,1,1,0,0,0.8,0.666667,0,1,0,0,0,0,0.666667,0,0,0,0.8,0,0,0,0,0]
f_measure
0.722222 [0,0,0.833333,0.666667,0,0,1,0.888889,0,1,0,0,0,0,0.666667,0,0,0,0.666667,0,0,0,1,0]
kappa
0.683486
kappa
0.794183
kappa
0.631579
kappa
0.748908
kappa
0.738041
kappa
0.687783
kappa
0.790909
kappa
0.696703
kappa
0.599129
kappa
0.7951
kappa
0.608511
kappa
0.736239
kappa
0.790433
kappa
0.7
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0.843537
kappa
0.687783
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0.846667
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0.694013
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0.7951
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0.742729
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0.593819
kappa
0.788018
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0.738636
kappa
0.690583
kappa
0.65
kappa
0.7951
kappa
0.741573
kappa
0.792325
kappa
0.571096
kappa
0.688488
kappa
0.791855
kappa
0.58465
kappa
0.746696
kappa
0.743304
kappa
0.696703
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0.640625
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0.792793
kappa
0.639013
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0.740991
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0.738636
kappa
0.7951
kappa
0.795556
kappa
0.794643
kappa
0.845291
kappa
0.54902
kappa
0.69469
kappa
0.687075
kappa
0.686364
kappa
0.695364
kappa
0.738041
kappa
0.638202
kappa
0.69265
kappa
0.69469
kappa
0.793258
kappa
0.693333
kappa
0.75
kappa
0.534831
kappa
0.595604
kappa
0.848018
kappa
0.591111
kappa
0.676471
kappa
0.728395
kappa
0.778894
kappa
0.563275
kappa
0.713542
kappa
0.680387
kappa
0.679612
kappa
0.731707
kappa
0.839416
kappa
0.627119
kappa
0.728395
kappa
0.733656
kappa
0.622549
kappa
0.727047
kappa
0.723618
kappa
0.726368
kappa
0.684211
kappa
0.726368
kappa
0.622549
kappa
0.786925
kappa
0.673267
kappa
0.678049
kappa
0.679612
kappa
0.557789
kappa
0.785888
kappa
0.626214
kappa
0.626214
kappa
0.787952
kappa
0.614035
kappa
0.728395
kappa
0.784314
kappa
0.585882
kappa
0.628019
kappa
0.731707
kappa
0.731051
kappa
0.662404
kappa
0.680387
kappa
0.721519
kappa
0.731051
kappa
0.731707
kb_relative_information_score
13.613725
kb_relative_information_score
15.1904
kb_relative_information_score
13.564219
kb_relative_information_score
17.055368
kb_relative_information_score
14.604279
kb_relative_information_score
15.020077
kb_relative_information_score
16.63526
kb_relative_information_score
16.087529
kb_relative_information_score
12.512553
kb_relative_information_score
16.330861
kb_relative_information_score
12.459162
kb_relative_information_score
14.92851
kb_relative_information_score
15.094111
kb_relative_information_score
16.220982
kb_relative_information_score
15.500147
kb_relative_information_score
13.44994
kb_relative_information_score
16.741358
kb_relative_information_score
14.735995
kb_relative_information_score
14.474684
kb_relative_information_score
15.442952
kb_relative_information_score
11.23453
kb_relative_information_score
14.867338
kb_relative_information_score
15.193374
kb_relative_information_score
14.380108
kb_relative_information_score
13.714936
kb_relative_information_score
16.016975
kb_relative_information_score
14.880416
kb_relative_information_score
16.09784
kb_relative_information_score
12.423561
kb_relative_information_score
15.98144
kb_relative_information_score
15.812816
kb_relative_information_score
12.346542
kb_relative_information_score
15.615555
kb_relative_information_score
13.745718
kb_relative_information_score
14.615532
kb_relative_information_score
14.828428
kb_relative_information_score
14.661704
kb_relative_information_score
14.254906
kb_relative_information_score
14.602772
kb_relative_information_score
14.633938
kb_relative_information_score
15.976942
kb_relative_information_score
16.206906
kb_relative_information_score
14.95856
kb_relative_information_score
15.717468
kb_relative_information_score
11.870679
kb_relative_information_score
13.743412
kb_relative_information_score
14.057386
kb_relative_information_score
13.376289
kb_relative_information_score
13.988318
kb_relative_information_score
13.459853
kb_relative_information_score
14.922852
kb_relative_information_score
15.298979
kb_relative_information_score
14.543056
kb_relative_information_score
15.20628
kb_relative_information_score
14.351579
kb_relative_information_score
15.293069
kb_relative_information_score
12.688391
kb_relative_information_score
10.272402
kb_relative_information_score
17.837608
kb_relative_information_score
12.248414
kb_relative_information_score
14.676587
kb_relative_information_score
15.037955
kb_relative_information_score
14.368537
kb_relative_information_score
11.034831
kb_relative_information_score
14.228289
kb_relative_information_score
13.050784
kb_relative_information_score
12.675006
kb_relative_information_score
13.036296
kb_relative_information_score
16.572734
kb_relative_information_score
11.564802
kb_relative_information_score
13.742887
kb_relative_information_score
14.070971
kb_relative_information_score
13.142386
kb_relative_information_score
12.771202
kb_relative_information_score
14.690768
kb_relative_information_score
14.789022
kb_relative_information_score
12.850204
kb_relative_information_score
13.649884
kb_relative_information_score
12.57136
kb_relative_information_score
13.601217
kb_relative_information_score
13.779015
kb_relative_information_score
13.213872
kb_relative_information_score
12.68724
kb_relative_information_score
11.13134
kb_relative_information_score
14.695285
kb_relative_information_score
12.236394
kb_relative_information_score
11.990651
kb_relative_information_score
15.163501
kb_relative_information_score
12.290477
kb_relative_information_score
13.978427
kb_relative_information_score
14.164827
kb_relative_information_score
10.921265
kb_relative_information_score
11.948408
kb_relative_information_score
14.643882
kb_relative_information_score
14.093342
kb_relative_information_score
14.014804
kb_relative_information_score
14.457633
kb_relative_information_score
14.598581
kb_relative_information_score
14.874273
kb_relative_information_score
14.1496
mean_absolute_error
0.023781
mean_absolute_error
0.017654
mean_absolute_error
0.024779
mean_absolute_error
0.020697
mean_absolute_error
0.020574
mean_absolute_error
0.021027
mean_absolute_error
0.014699
mean_absolute_error
0.021098
mean_absolute_error
0.03085
mean_absolute_error
0.018891
mean_absolute_error
0.030458
mean_absolute_error
0.018422
mean_absolute_error
0.017685
mean_absolute_error
0.022294
mean_absolute_error
0.018101
mean_absolute_error
0.025162
mean_absolute_error
0.016321
mean_absolute_error
0.022295
mean_absolute_error
0.018881
mean_absolute_error
0.020298
mean_absolute_error
0.030028
mean_absolute_error
0.01847
mean_absolute_error
0.021849
mean_absolute_error
0.023577
mean_absolute_error
0.026469
mean_absolute_error
0.015028
mean_absolute_error
0.021888
mean_absolute_error
0.016265
mean_absolute_error
0.030821
mean_absolute_error
0.020706
mean_absolute_error
0.017925
mean_absolute_error
0.028239
mean_absolute_error
0.020039
mean_absolute_error
0.023167
mean_absolute_error
0.02279
mean_absolute_error
0.023476
mean_absolute_error
0.02069
mean_absolute_error
0.025197
mean_absolute_error
0.021457
mean_absolute_error
0.024011
mean_absolute_error
0.016461
mean_absolute_error
0.017551
mean_absolute_error
0.02039
mean_absolute_error
0.016978
mean_absolute_error
0.032521
mean_absolute_error
0.025171
mean_absolute_error
0.022075
mean_absolute_error
0.024495
mean_absolute_error
0.023672
mean_absolute_error
0.023269
mean_absolute_error
0.025072
mean_absolute_error
0.023714
mean_absolute_error
0.024044
mean_absolute_error
0.017383
mean_absolute_error
0.023995
mean_absolute_error
0.021625
mean_absolute_error
0.031085
mean_absolute_error
0.034548
mean_absolute_error
0.014151
mean_absolute_error
0.028194
mean_absolute_error
0.023337
mean_absolute_error
0.020191
mean_absolute_error
0.021236
mean_absolute_error
0.032729
mean_absolute_error
0.018694
mean_absolute_error
0.026795
mean_absolute_error
0.026651
mean_absolute_error
0.022455
mean_absolute_error
0.013393
mean_absolute_error
0.028365
mean_absolute_error
0.022973
mean_absolute_error
0.019508
mean_absolute_error
0.02723
mean_absolute_error
0.022262
mean_absolute_error
0.019162
mean_absolute_error
0.018239
mean_absolute_error
0.027132
mean_absolute_error
0.023232
mean_absolute_error
0.028994
mean_absolute_error
0.021965
mean_absolute_error
0.024288
mean_absolute_error
0.026194
mean_absolute_error
0.025917
mean_absolute_error
0.029157
mean_absolute_error
0.019771
mean_absolute_error
0.03093
mean_absolute_error
0.029283
mean_absolute_error
0.017997
mean_absolute_error
0.029181
mean_absolute_error
0.023887
mean_absolute_error
0.019259
mean_absolute_error
0.036497
mean_absolute_error
0.026815
mean_absolute_error
0.019001
mean_absolute_error
0.021096
mean_absolute_error
0.021544
mean_absolute_error
0.019694
mean_absolute_error
0.020063
mean_absolute_error
0.019197
mean_absolute_error
0.018994
mean_prior_absolute_error
0.072029
mean_prior_absolute_error
0.072261
mean_prior_absolute_error
0.072362
mean_prior_absolute_error
0.07313
mean_prior_absolute_error
0.072261
mean_prior_absolute_error
0.072014
mean_prior_absolute_error
0.071957
mean_prior_absolute_error
0.072681
mean_prior_absolute_error
0.07229
mean_prior_absolute_error
0.072217
mean_prior_absolute_error
0.072319
mean_prior_absolute_error
0.07229
mean_prior_absolute_error
0.072087
mean_prior_absolute_error
0.072754
mean_prior_absolute_error
0.072261
mean_prior_absolute_error
0.072435
mean_prior_absolute_error
0.072246
mean_prior_absolute_error
0.073145
mean_prior_absolute_error
0.072333
mean_prior_absolute_error
0.072261
mean_prior_absolute_error
0.072333
mean_prior_absolute_error
0.072
mean_prior_absolute_error
0.071971
mean_prior_absolute_error
0.073174
mean_prior_absolute_error
0.073043
mean_prior_absolute_error
0.07229
mean_prior_absolute_error
0.072246
mean_prior_absolute_error
0.072783
mean_prior_absolute_error
0.072304
mean_prior_absolute_error
0.072246
mean_prior_absolute_error
0.072275
mean_prior_absolute_error
0.072188
mean_prior_absolute_error
0.072261
mean_prior_absolute_error
0.072377
mean_prior_absolute_error
0.073043
mean_prior_absolute_error
0.07287
mean_prior_absolute_error
0.072087
mean_prior_absolute_error
0.073072
mean_prior_absolute_error
0.07229
mean_prior_absolute_error
0.072275
mean_prior_absolute_error
0.072275
mean_prior_absolute_error
0.072377
mean_prior_absolute_error
0.072304
mean_prior_absolute_error
0.07229
mean_prior_absolute_error
0.073174
mean_prior_absolute_error
0.072899
mean_prior_absolute_error
0.072116
mean_prior_absolute_error
0.072333
mean_prior_absolute_error
0.072812
mean_prior_absolute_error
0.072333
mean_prior_absolute_error
0.073043
mean_prior_absolute_error
0.072797
mean_prior_absolute_error
0.07229
mean_prior_absolute_error
0.072275
mean_prior_absolute_error
0.072101
mean_prior_absolute_error
0.073029
mean_prior_absolute_error
0.073101
mean_prior_absolute_error
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mean_prior_absolute_error
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0.759058 [0,0,1,0.666667,0,0,1,0.625,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
precision
0.763975 [0,0,0.833333,0.666667,0,0,1,0.714286,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
precision
0.664251 [0,0,1,1,0,0,1,0.555556,0,1,0,0,0,0,0.5,0,0,0,1,0,0,0,0,0]
precision
0.644928 [0,0,1,0.666667,0,0,0.5,0.8,0,1,0,0,0,0,0.5,0,0,0,1,0,0,0,0,0]
precision
0.753623 [0,0,1,0.666667,0,0,1,0.833333,0,0,0,0,0,0,0.5,0,0,0,0.666667,0,0,1,1,0]
precision
0.70911 [0,0,0.857143,1,0,0,0.666667,1,0,1,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,0,0]
precision
0.738613 [0,0,0.833333,1,0,0,1,0.714286,0,1,0,0,0,0,1,0,0,0,0.75,0,0,0,1,0]
precision
0.53442 [0,0,0.75,1,0,0,0.333333,0.625,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0]
precision
0.689441 [0,0,1,1,0,0,0.5,0.571429,0,0.5,0,0,0,0,0.5,0,0,0,1,0,0,0,1,0]
precision
0.73499 [0,0,1,1,0,0,0.666667,0.714286,0,1,0,0,0,0,1,0,0,0,0,0,0,1,1,0]
precision
0.644928 [0,0,0.75,1,0,0,0.666667,0.8,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
precision
0.757246 [0,0,1,1,0,0,0.666667,0.75,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0]
precision
0.710145 [0,0,1,1,0,0,0.666667,0.8,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0]
precision
0.677019 [0,0,1,1,0,0,1,0.714286,0,0.5,0,0,0,0,0.5,0,0,0,1,0,0,0,0,0]
precision
0.6294 [0,0,0.857143,1,0,0,1,0.666667,0,0.333333,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0]
precision
0.768116 [0,0,1,1,0,0,1,0.833333,0,0,0,0,0,0,0.5,0,0,0,1,0,0,0,0,0]
precision
0.599034 [0,0,1,1,0,0,0,0.555556,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
precision
0.681159 [0,0,1,1,0,0,0.666667,0.833333,0,0,0,0,0,0,0.5,0,0,0,0.333333,0,0,1,0,0]
precision
0.744565 [0,0,1,1,0,0,1,0.625,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
precision
0.803313 [0,0,0.857143,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,1,0,0]
precision
0.768116 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,0.333333,0,0,0,0.666667,0,0,1,0,0]
precision
0.759834 [0,0,0.857143,1,0,0,1,1,0,0.5,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,1,0]
precision
0.804348 [0,0,1,1,0,0,0.666667,0.833333,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
precision
0.572464 [0,0,0.8,1,0,0,1,0.8,0,0,0,0,0,0,0.5,0,0,0,0.333333,0,0,0,0,0]
precision
0.630435 [0,0,1,0.666667,0,0,1,0.666667,0,1,0,0,0,0,0.5,0,0,0,0.5,0,0,0,0,0]
precision
0.730849 [0,0,0.857143,1,0,0,0.666667,0.666667,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
precision
0.644928 [0,0,0.75,1,0,0,0.666667,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
precision
0.648551 [0,0,1,0.75,0,0,0.666667,0.8,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0]
precision
0.726708 [0,0,0.857143,1,0,0,1,0.714286,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
precision
0.630435 [0,0,1,1,0,0,1,0.5,0,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0]
precision
0.666667 [0,0,0.833333,1,0,0,0.666667,0.666667,0,0,0,0,0,0,0.5,0,0,0,1,0,0,0,1,0]
precision
0.710145 [0,0,0.833333,1,0,0,0.666667,1,0,1,0,0,0,0,0.5,0,0,0,0.5,0,0,0,0.5,0]
precision
0.746377 [0,0,1,1,0,0,1,0.833333,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0]
precision
0.721739 [0,0,0.8,0.6,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0]
precision
0.717391 [0,0,0.833333,1,0,0,0.666667,1,0,0.5,0,0,0,0,0.5,0,0,0,1,0,0,0,1,0]
precision
0.468599 [0,0,0.8,0.666667,0,0,0,0.555556,0,0,0,0,0,0,1,0,0,0,0.333333,0,0,0,1,0]
precision
0.623188 [0,0,1,0.666667,0,0,1,0.8,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0]
precision
0.822464 [0,0,1,0.75,0,0,1,0.833333,0,1,0,0,0,0,0.5,0,0,0,1,0,0,1,1,0]
precision
0.605072 [0,0,1,0.75,0,0,0.666667,0.666667,0,0,0,0,0,0,1,0,0,0,0.333333,0,0,0,0,0]
precision
0.613636 [0,0,0.833333,1,0,0,1,0.666667,0,0.5,0,0,0,0,0.5,0,0,0,0.5,0,0,0,0,0]
precision
0.75 [0,0,0.833333,1,0,0,1,0.666667,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,1,0]
precision
0.779221 [0,0,0.857143,1,0,0,0.666667,0.833333,0,1,0,0,0,0,0.5,0,0,0,1,0,0,0,1,0]
precision
0.612554 [0,0,0.857143,1,0,0,0.666667,0.6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0]
precision
0.716721 [0,0,0.857143,1,0,0,1,0.625,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,1,0]
precision
0.67803 [0,0,0.833333,1,0,0,0.5,0.75,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
precision
0.643939 [0,0,1,0.666667,0,0,1,0.666667,0,0,0,0,0,0,0.5,0,0,0,0.5,0,0,1,0,0]
precision
0.809091 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.4,0,0,0,1,0]
precision
0.772727 [0,0,1,1,0,0,1,0.833333,0,1,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,1,0]
precision
0.672727 [0,0,1,0.75,0,0,0.4,0.75,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
precision
0.69697 [0,0,0.833333,1,0,0,1,0.833333,0,0.5,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,0,0]
precision
0.674242 [0,0,1,1,0,0,0.666667,0.8,0,0.5,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0]
precision
0.657197 [0,0,1,0.5,0,0,1,0.625,0,0.333333,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
precision
0.712121 [0,0,1,1,0,0,0.5,0.833333,0,0,0,0,0,0,0.5,0,0,0,0.5,0,0,0,1,0]
precision
0.811688 [0,0,1,1,0,0,1,0.571429,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
precision
0.779221 [0,0,0.714286,1,0,0,1,0.714286,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
precision
0.695455 [0,0,0.8,1,0,0,1,1,0,0.5,0,0,0,0,0,0,0,0,0.4,0,0,0,1,0]
precision
0.715368 [0,0,1,1,0,0,1,0.714286,0,0,0,0,0,0,0.5,0,0,0,0.333333,0,0,0,1,0]
precision
0.661364 [0,0,0.833333,1,0,0,1,0.75,0,0.5,0,0,0,0,0,0,0,0,0.4,0,0,0,0.5,0]
precision
0.704545 [0,0,1,0.666667,0,0,0.666667,1,0,0,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,1,0]
precision
0.695887 [0,0,0.857143,1,0,0,1,0.666667,0,1,0,0,0,0,0,0,0,0,0.5,0,0,0,1,0]
precision
0.690909 [0,0,0.833333,1,0,0,0.666667,0.8,0,1,0,0,0,0,1,0,0,0,0.333333,0,0,0,1,0]
precision
0.675758 [0,0,0.833333,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
precision
0.587662 [0,0,0.571429,0.25,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0]
precision
0.766667 [0,0,1,1,0,0,0.666667,0.8,0,1,0,0,0,0,0.333333,0,0,0,1,0,0,0,1,0]
precision
0.727273 [0,0,1,0.666667,0,0,0.333333,1,0,1,0,0,0,0,0.5,0,0,0,0.5,0,0,0,0,0]
precision
0.651515 [0,0,1,0.666667,0,0,1,0.5,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0]
precision
0.878788 [0,0,1,1,0,0,0.666667,1,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
precision
0.62013 [0,0,0.857143,1,0,0,0,0.5,0,1,0,0,0,0,0.5,0,0,0,1,0,0,0,0,0]
precision
0.695887 [0,0,0.857143,1,0,0,1,0.666667,0,1,0,0,0,0,0.5,0,0,0,1,0,0,0,0,0]
precision
0.768939 [0,0,1,0.75,0,0,1,0.666667,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
precision
0.681818 [0,0,1,0.5,0,0,1,1,0,0.5,0,0,0,0,0.5,0,0,0,0.5,0,0,0,0,0]
precision
0.621212 [0,0,0.833333,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0]
precision
0.80303 [0,0,1,1,0,0,1,0.666667,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0]
precision
0.712121 [0,0,1,1,0,0,0.5,0.666667,0,0.5,0,0,0,0,0.5,0,0,0,1,0,0,0,1,0]
precision
0.589015 [0,0,0.833333,1,0,0,0,0.625,0,0,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,0,0]
precision
0.719697 [0,0,1,1,0,0,0.666667,0.5,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
precision
0.643939 [0,0,0.75,0,0,0,1,0.833333,0,1,0,0,0,0,0.5,0,0,0,1,0,0,0,0,0]
precision
0.737879 [0,0,1,1,0,0,0.666667,0.6,0,1,0,0,0,0,0.5,0,0,0,1,0,0,0,0,0]
precision
0.713636 [0,0,0.833333,1,0,0,1,0.8,0,1,0,0,0,0,0.5,0,0,0,0.5,0,0,0,1,0]
predictive_accuracy
0.73913
predictive_accuracy
0.826087
predictive_accuracy
0.695652
predictive_accuracy
0.782609
predictive_accuracy
0.782609
predictive_accuracy
0.73913
predictive_accuracy
0.826087
predictive_accuracy
0.73913
predictive_accuracy
0.652174
predictive_accuracy
0.826087
predictive_accuracy
0.652174
predictive_accuracy
0.782609
predictive_accuracy
0.826087
predictive_accuracy
0.73913
predictive_accuracy
0.869565
predictive_accuracy
0.73913
predictive_accuracy
0.869565
predictive_accuracy
0.73913
predictive_accuracy
0.826087
predictive_accuracy
0.782609
predictive_accuracy
0.652174
predictive_accuracy
0.826087
predictive_accuracy
0.782609
predictive_accuracy
0.73913
predictive_accuracy
0.695652
predictive_accuracy
0.826087
predictive_accuracy
0.782609
predictive_accuracy
0.826087
predictive_accuracy
0.652174
predictive_accuracy
0.73913
predictive_accuracy
0.826087
predictive_accuracy
0.652174
predictive_accuracy
0.782609
predictive_accuracy
0.782609
predictive_accuracy
0.73913
predictive_accuracy
0.695652
predictive_accuracy
0.826087
predictive_accuracy
0.695652
predictive_accuracy
0.782609
predictive_accuracy
0.782609
predictive_accuracy
0.826087
predictive_accuracy
0.826087
predictive_accuracy
0.826087
predictive_accuracy
0.869565
predictive_accuracy
0.608696
predictive_accuracy
0.73913
predictive_accuracy
0.73913
predictive_accuracy
0.73913
predictive_accuracy
0.73913
predictive_accuracy
0.782609
predictive_accuracy
0.695652
predictive_accuracy
0.73913
predictive_accuracy
0.73913
predictive_accuracy
0.826087
predictive_accuracy
0.73913
predictive_accuracy
0.782609
predictive_accuracy
0.608696
predictive_accuracy
0.652174
predictive_accuracy
0.869565
predictive_accuracy
0.652174
predictive_accuracy
0.727273
predictive_accuracy
0.772727
predictive_accuracy
0.818182
predictive_accuracy
0.636364
predictive_accuracy
0.772727
predictive_accuracy
0.727273
predictive_accuracy
0.727273
predictive_accuracy
0.772727
predictive_accuracy
0.863636
predictive_accuracy
0.681818
predictive_accuracy
0.772727
predictive_accuracy
0.772727
predictive_accuracy
0.681818
predictive_accuracy
0.772727
predictive_accuracy
0.772727
predictive_accuracy
0.772727
predictive_accuracy
0.727273
predictive_accuracy
0.772727
predictive_accuracy
0.681818
predictive_accuracy
0.818182
predictive_accuracy
0.727273
predictive_accuracy
0.727273
predictive_accuracy
0.727273
predictive_accuracy
0.636364
predictive_accuracy
0.818182
predictive_accuracy
0.681818
predictive_accuracy
0.681818
predictive_accuracy
0.818182
predictive_accuracy
0.681818
predictive_accuracy
0.772727
predictive_accuracy
0.818182
predictive_accuracy
0.636364
predictive_accuracy
0.681818
predictive_accuracy
0.772727
predictive_accuracy
0.772727
predictive_accuracy
0.727273
predictive_accuracy
0.727273
predictive_accuracy
0.772727
predictive_accuracy
0.772727
predictive_accuracy
0.772727
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
recall
0.73913 [0,0,1,0.666667,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.826087 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.695652 [0,0,0.833333,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0]
recall
0.782609 [0,0,0.8,0.666667,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,1,0,0,1,1,0]
recall
0.782609 [0,0,1,0.5,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.73913 [0,0,1,1,0,0,0.5,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0]
recall
0.826087 [0,0,1,0.5,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.73913 [0,0,1,1,0,0,1,0.5,0,1,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0]
recall
0.652174 [0,0,0.833333,1,0,0,0.5,0.6,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.826087 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
recall
0.652174 [0,0,0.666667,1,0,0,1,0.6,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.782609 [0,0,1,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.826087 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0]
recall
0.73913 [0,0,0.8,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.869565 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.73913 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,1,0]
recall
0.869565 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.73913 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.333333,0,0,0,0,0]
recall
0.826087 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.782609 [0,0,1,0.5,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
recall
0.652174 [0,0,0.833333,0.5,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.826087 [0,0,1,1,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.782609 [0,0,0.833333,0.666667,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0]
recall
0.73913 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0]
recall
0.695652 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0]
recall
0.826087 [0,0,0.833333,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0]
recall
0.782609 [0,0,1,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.826087 [0,0,1,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.652174 [0,0,1,0.5,0,0,0.5,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0]
recall
0.73913 [0,0,1,1,0,0,0.5,0.8,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.826087 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0,0,0,1,1,0]
recall
0.652174 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0,0,0]
recall
0.782609 [0,0,1,1,0,0,1,0.6,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.782609 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.73913 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0]
recall
0.695652 [0,0,1,0.5,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.826087 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.695652 [0,0,1,1,0,0,0,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.782609 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0]
recall
0.782609 [0,0,1,1,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.826087 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
recall
0.826087 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
recall
0.826087 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.869565 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.608696 [0,0,0.8,0.5,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.73913 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0]
recall
0.73913 [0,0,1,0.666667,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0]
recall
0.73913 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.73913 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.782609 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.695652 [0,0,1,1,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0]
recall
0.73913 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.73913 [0,0,0.833333,0.5,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.826087 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.73913 [0,0,0.666667,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
recall
0.782609 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.608696 [0,0,0.8,1,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.652174 [0,0,0.833333,1,0,0,1,0.8,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.869565 [0,0,0.8,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,1,1,0]
recall
0.652174 [0,0,0.8,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,0.333333,0,0,0,0,0]
recall
0.727273 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0]
recall
0.772727 [0,0,1,0.666667,0,0,0.5,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0]
recall
0.818182 [0,0,1,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.636364 [0,0,1,0.5,0,0,1,0.6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0]
recall
0.772727 [0,0,1,1,0,0,0.5,1,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0,1,0]
recall
0.727273 [0,0,1,0.5,0,0,1,0.6,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.727273 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0]
recall
0.772727 [0,0,1,1,0,0,0.5,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.863636 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.681818 [0,0,0.8,1,0,0,1,0.6,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.772727 [0,0,1,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0]
recall
0.772727 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.681818 [0,0,0.8,1,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0]
recall
0.772727 [0,0,1,1,0,0,0.5,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.772727 [0,0,1,1,0,0,0.5,0.8,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,1,0,0]
recall
0.772727 [0,0,1,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.333333,0,0,0,1,0]
recall
0.727273 [0,0,0.8,1,0,0,1,0.8,0,1,0,0,0,0,0,0,0,0,1,0,0,0,1,0]
recall
0.772727 [0,0,0.833333,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.681818 [0,0,0.833333,1,0,0,0.5,0.6,0,1,0,0,0,0,0,0,0,0,1,0,0,0,1,0]
recall
0.818182 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.727273 [0,0,1,1,0,0,0.5,1,0,1,0,0,0,0,0,0,0,0,0.333333,0,0,0,1,0]
recall
0.727273 [0,0,0.833333,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.727273 [0,0,1,1,0,0,0.5,1,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0]
recall
0.636364 [0,0,0.666667,0.5,0,0,0.5,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.818182 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.681818 [0,0,0.833333,1,0,0,0.5,0.6,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0]
recall
0.681818 [0,0,0.833333,1,0,0,1,0.75,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0]
recall
0.818182 [0,0,1,1,0,0,1,0.6,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
recall
0.681818 [0,0,1,0.5,0,0,0,1,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0]
recall
0.772727 [0,0,1,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.818182 [0,0,0.833333,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.636364 [0,0,0.666667,1,0,0,0.5,0.75,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.681818 [0,0,1,0.5,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.772727 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,1,1,0]
recall
0.772727 [0,0,1,1,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.727273 [0,0,0.833333,1,0,0,0,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.727273 [0,0,1,1,0,0,1,0.5,0,1,0,0,0,0,1,0,0,0,0.333333,0,0,0,1,0]
recall
0.772727 [0,0,1,0,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.772727 [0,0,1,1,0,0,1,0.75,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0]
recall
0.772727 [0,0,0.833333,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
relative_absolute_error
0.330158
relative_absolute_error
0.24431
relative_absolute_error
0.342426
relative_absolute_error
0.283011
relative_absolute_error
0.284712
relative_absolute_error
0.291981
relative_absolute_error
0.204272
relative_absolute_error
0.290288
relative_absolute_error
0.426749
relative_absolute_error
0.261588
relative_absolute_error
0.421165
relative_absolute_error
0.254831
relative_absolute_error
0.245322
relative_absolute_error
0.306437
relative_absolute_error
0.250498
relative_absolute_error
0.347371
relative_absolute_error
0.225904
relative_absolute_error
0.30481
relative_absolute_error
0.261032
relative_absolute_error
0.280895
relative_absolute_error
0.415139
relative_absolute_error
0.256525
relative_absolute_error
0.303586
relative_absolute_error
0.322205
relative_absolute_error
0.362373
relative_absolute_error
0.207884
relative_absolute_error
0.30296
relative_absolute_error
0.22347
relative_absolute_error
0.426274
relative_absolute_error
0.286598
relative_absolute_error
0.248013
relative_absolute_error
0.39118
relative_absolute_error
0.277312
relative_absolute_error
0.320091
relative_absolute_error
0.312008
relative_absolute_error
0.322171
relative_absolute_error
0.287016
relative_absolute_error
0.344828
relative_absolute_error
0.296815
relative_absolute_error
0.332215
relative_absolute_error
0.22776
relative_absolute_error
0.242502
relative_absolute_error
0.282001
relative_absolute_error
0.234858
relative_absolute_error
0.444431
relative_absolute_error
0.34529
relative_absolute_error
0.306103
relative_absolute_error
0.338641
relative_absolute_error
0.32511
relative_absolute_error
0.321696
relative_absolute_error
0.343243
relative_absolute_error
0.325749
relative_absolute_error
0.332603
relative_absolute_error
0.24051
relative_absolute_error
0.332801
relative_absolute_error
0.296117
relative_absolute_error
0.425233
relative_absolute_error
0.476957
relative_absolute_error
0.194464
relative_absolute_error
0.388152
relative_absolute_error
0.32108
relative_absolute_error
0.278958
relative_absolute_error
0.295689
relative_absolute_error
0.455619
relative_absolute_error
0.261901
relative_absolute_error
0.368898
relative_absolute_error
0.366751
relative_absolute_error
0.312461
relative_absolute_error
0.184418
relative_absolute_error
0.392302
relative_absolute_error
0.317263
relative_absolute_error
0.268566
relative_absolute_error
0.374883
relative_absolute_error
0.309906
relative_absolute_error
0.26771
relative_absolute_error
0.251991
relative_absolute_error
0.372912
relative_absolute_error
0.323416
relative_absolute_error
0.403285
relative_absolute_error
0.302273
relative_absolute_error
0.335997
relative_absolute_error
0.361291
relative_absolute_error
0.354727
relative_absolute_error
0.405812
relative_absolute_error
0.272646
relative_absolute_error
0.431856
relative_absolute_error
0.403821
relative_absolute_error
0.250642
relative_absolute_error
0.403594
relative_absolute_error
0.329481
relative_absolute_error
0.266471
relative_absolute_error
0.503299
relative_absolute_error
0.366418
relative_absolute_error
0.262693
relative_absolute_error
0.290974
relative_absolute_error
0.300492
relative_absolute_error
0.272555
relative_absolute_error
0.279118
relative_absolute_error
0.265567
relative_absolute_error
0.261992
root_mean_prior_squared_error
0.188346
root_mean_prior_squared_error
0.188961
root_mean_prior_squared_error
0.189229
root_mean_prior_squared_error
0.191248
root_mean_prior_squared_error
0.188961
root_mean_prior_squared_error
0.188308
root_mean_prior_squared_error
0.188154
root_mean_prior_squared_error
0.19007
root_mean_prior_squared_error
0.189038
root_mean_prior_squared_error
0.188846
root_mean_prior_squared_error
0.189114
root_mean_prior_squared_error
0.189038
root_mean_prior_squared_error
0.1885
root_mean_prior_squared_error
0.19026
root_mean_prior_squared_error
0.188961
root_mean_prior_squared_error
0.18942
root_mean_prior_squared_error
0.188922
root_mean_prior_squared_error
0.191286
root_mean_prior_squared_error
0.189152
root_mean_prior_squared_error
0.188961
root_mean_prior_squared_error
0.189152
root_mean_prior_squared_error
0.188269
root_mean_prior_squared_error
0.188192
root_mean_prior_squared_error
0.191362
root_mean_prior_squared_error
0.19102
root_mean_prior_squared_error
0.189038
root_mean_prior_squared_error
0.188922
root_mean_prior_squared_error
0.190336
root_mean_prior_squared_error
0.189076
root_mean_prior_squared_error
0.188922
root_mean_prior_squared_error
0.188999
root_mean_prior_squared_error
0.188769
root_mean_prior_squared_error
0.188961
root_mean_prior_squared_error
0.189267
root_mean_prior_squared_error
0.19102
root_mean_prior_squared_error
0.190565
root_mean_prior_squared_error
0.1885
root_mean_prior_squared_error
0.191096
root_mean_prior_squared_error
0.189038
root_mean_prior_squared_error
0.188999
root_mean_prior_squared_error
0.188999
root_mean_prior_squared_error
0.189267
root_mean_prior_squared_error
0.189076
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