330163
2
Joaquin Vanschoren
1887
Supervised Classification
predictive_accuracy
1244
weka.FilteredClassifier_Discretize_J48(4)
2166
weka.classifiers.meta.FilteredClassifier -- -F "weka.filters.supervised.attribute.Discretize -R first-last -precision 6" -W weka.classifiers.trees.J48 -- -C 0.25 -M 2
C
0.25
1068
M
2
1068
F
weka.filters.supervised.attribute.Discretize
1244
W
weka.classifiers.trees.J48
1244
R
first-last
1245
precision
6
1245
weka
weka_3.7.12
7
audiology
https://www.openml.org/data/download/7/dataset_7_audiology.arff
-1
1128971
description
https://api.openml.org/data/download/1128971/weka_generated_run5437375318336511492.xml
-1
1128974
model_readable
https://api.openml.org/data/download/1128974/WekaModel_weka.classifiers.meta.FilteredClassifier5138066690644775256.model
-1
1128973
model_serialized
https://api.openml.org/data/download/1128973/WekaSerialized_weka.classifiers.meta.FilteredClassifier4325666281990406597.model
-1
1128972
predictions
https://api.openml.org/data/download/1128972/weka_generated_predictions6985176637830053692.arff
area_under_roc_curve
0.927176 [0.448222,0.447556,0.98169,0.943383,0.386667,0.942779,0.971755,0.923139,0.991083,1,0.920748,0.871503,0.869196,0.991083,0.999278,0.999477,0.492,0.99192,0.872584,0.711019,0.469778,0.99558,0.867457,0.493304]
average_cost
0
f_measure
0.754786 [0,0,0.939948,0.852321,0,0,0.774892,0.759239,0.04878,1,0.125,0.707317,0,0,0.962567,0.698795,0,0.097561,0.735354,0,0,0.879121,0.810811,0]
kappa
0.73975
kb_relative_information_score
1586.687018
mean_absolute_error
0.022361
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
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.742696 [0,0,0.932642,0.795276,0,0,0.683206,0.820823,0.047619,1,0.166667,0.690476,0,0,0.927835,0.54717,0,0.095238,0.661818,0,0,0.784314,0.882353,0]
predictive_accuracy
0.776549
prior_entropy
3.634907
recall
0.776549 [0,0,0.947368,0.918182,0,0,0.895,0.70625,0.05,1,0.1,0.725,0,0,1,0.966667,0,0.1,0.827273,0,0,1,0.75,0]
relative_absolute_error
0.308881
root_mean_prior_squared_error
0.189308
root_mean_squared_error
0.121116
root_relative_squared_error
0.639784
scimark_benchmark
1344.049935 [813.5450543619434, 1018.475184352184, 548.6672532353103, 1086.8324233586136, 3252.729760685165]
total_cost
0
usercpu_time_millis
10
usercpu_time_millis_testing
10
usercpu_time_millis_training
0
area_under_roc_curve
0.958639 [0.0,0.0,1,1,0.0,1,1,0.933333,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,1,0.952381,0.477273,0.0,0.0,1,0.0]
area_under_roc_curve
0.937556 [0.0,0.0,0.970588,1,0.0,0.0,1,0.966667,1,1,0.0,0.0,1,0.0,1,0.0,0.0,0.0,0.97619,0.5,0.0,0.0,0.454545,0.0]
area_under_roc_curve
0.890022 [0.5,0.0,0.955882,0.97619,0.0,0.0,1,0.927778,0.0,0.0,0.0,0.5,0.0,0.0,1,0.0,0.0,1,0.833333,0.477273,0.0,1,0.0,0.0]
area_under_roc_curve
0.949245 [0.0,0.0,1,1,0.0,0.0,0.97619,0.901316,0.0,1,1,0.0,0.0,0.0,1,1,0.0,0.0,0.758333,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.914973 [0.0,0.0,1,0.738095,0.0,0.0,1,0.95,0.0,1,0.954545,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.431818,0.0,0.0,1,0.431818]
area_under_roc_curve
0.961197 [0.0,0.0,1,0.975,0.0,0.0,1,0.955556,0.0,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.952381,0.0,0.0,1,0.5,0.0]
area_under_roc_curve
0.988268 [0.0,0.0,1,1,0.0,0.0,0.97619,0.955556,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,1,0.0]
area_under_roc_curve
0.955813 [0.0,0.0,1,1,0.0,0.0,0.952381,0.894737,0.0,1,0.0,0.5,0.0,1,1,1,0.0,0.0,1,0.0,0.0,1,0.0,0.0]
area_under_roc_curve
0.961697 [0.0,0.0,0.990196,0.97619,0.0,0.0,1,0.977778,1,1,1,0.0,0.431818,0.0,1,0.0,0.0,0.0,0.952381,0.0,0.0,0.0,1,0.0]
area_under_roc_curve
0.986197 [0.0,0.0,1,1,0.0,0.0,1,0.955556,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,0.952381,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.923995 [0.0,0.0,0.955882,0.97619,0.0,0.954545,0.97619,0.977778,0.0,0.0,0.954545,0.0,1,0.0,1,0.0,0.0,0.0,0.952381,0.477273,0.0,0.0,0.431818,0.0]
area_under_roc_curve
0.904257 [0.0,0.0,0.970588,0.75,0.0,0.0,0.97619,0.927778,1,1,0.0,0.0,0.0,0.0,1,0.0,0.0,1,0.714286,0.0,0.0,0.0,1,0.454545]
area_under_roc_curve
0.923882 [0.0,0.0,1,1,0.0,0.0,0.952381,0.911111,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.0,1,0.678571,0.0,0.0,1,0.0,0.431818]
area_under_roc_curve
0.943939 [0.0,0.0,0.988889,0.8,0.0,0.0,1,0.877778,0.0,1,1,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,0.977273,1,0.0]
area_under_roc_curve
0.929512 [0.0,0.0,0.990196,0.97619,0.0,0.0,0.97619,0.911111,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,1,1,0.477273,0.0,0.0,1,0.5]
area_under_roc_curve
0.96554 [0.0,0.0,1,1,0.0,0.0,0.97619,0.955556,0.0,0.0,1,0.0,0.0,1,0.0,0.0,0.5,0.977273,1,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.995953 [0.0,0.0,1,1,0.0,0.954545,0.97619,1,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,1,0.0]
area_under_roc_curve
0.912804 [0.5,0.0,1,0.975,0.0,0.0,0.97619,0.960526,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,0.758333,0.0,0.0,0.0,0.5,0.0]
area_under_roc_curve
0.932976 [0.0,0.5,0.970588,1,0.0,0.0,1,0.955556,1,0.0,0.0,0.0,1,0.0,1,0.0,0.0,0.0,0.678571,1,0.0,0.0,1,0.0]
area_under_roc_curve
0.944272 [0.0,0.0,1,0.97619,0.0,0.0,1,0.972222,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.952381,0.0,0.5,1,0.5,0.0]
area_under_roc_curve
0.900245 [0.0,0.0,1,0.97619,0.0,0.0,0.97619,0.883333,0.0,0.0,1,0.0,0.431818,0.0,1,0.0,0.0,0.0,0.97619,1,0.5,0.0,0.5,0.0]
area_under_roc_curve
0.933754 [0.0,0.0,0.985294,0.952381,0.0,0.0,0.952381,0.955556,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0,0.0,0.0,0.5,0.477273]
area_under_roc_curve
0.914596 [0.0,0.0,1,0.666667,0.0,0.0,0.97619,0.916667,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,1,0.5]
area_under_roc_curve
0.915459 [0.5,0.5,1,0.75,0.0,0.0,1,0.911111,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0]
area_under_roc_curve
0.896496 [0.0,0.0,1,0.97619,0.0,0.0,0.952381,0.894444,0.0,1,0.0,0.977273,0.431818,0.0,1,1,0.0,1,0.690476,0.0,0.0,0.0,0.5,0.0]
area_under_roc_curve
0.973633 [0.0,0.0,0.990196,0.97619,0.0,0.0,1,1,0.0,0.0,0.0,0.5,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.940303 [0.0,0.0,0.990196,0.97619,0.0,0.931818,0.952381,0.922222,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,0.642857,0.0,0.0,0.0,1,0.0]
area_under_roc_curve
0.938 [0.0,0.5,1,0.75,0.0,0.0,1,0.938889,0.0,1,0.0,0.977273,0.0,0.0,1,0.0,0.0,0.977273,0.975,0.0,0.0,0.0,1,0.0]
area_under_roc_curve
0.87546 [0.0,0.0,0.970588,1,0.5,0.886364,0.904762,0.861111,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.666667,0.5,0.0,0.977273,1,0.0]
area_under_roc_curve
0.934278 [0.0,0.0,0.970588,1,0.0,0.0,0.97619,0.861111,1,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.97619,0.0,0.0,1,0.454545,0.0]
area_under_roc_curve
0.938609 [0.5,0.0,0.990196,0.97619,0.0,0.0,0.97619,0.972222,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.0,0.690476,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.858213 [0.0,0.0,0.970588,1,0.0,0.0,0.952381,0.816667,0.0,0.0,1,1,0.0,0.0,0.0,1,0.5,0.0,0.483333,0.0,0.0,0.977273,0.0,0.0]
area_under_roc_curve
0.965666 [0.0,0.0,1,1,0.0,0.0,0.97619,0.861111,1,1,1,0.0,0.0,0.0,1,0.0,0.0,0.0,0.97619,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.982496 [0.0,0.0,1,1,0.0,0.954545,0.97619,0.966667,0.0,1,0.0,0.0,1,1,1,0.0,0.0,1,0.928571,0.0,0.0,0.0,0.0,0.0]
area_under_roc_curve
0.967956 [0.0,0.0,1,1,0.0,0.0,0.97619,0.966667,1,1,0.0,0.5,0.977273,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,1,0.0]
area_under_roc_curve
1 [0.0,0.0,1,1,0.0,0.0,1,1,1,1,0.0,1,0.0,0.0,1,0.0,0.0,0.0,1,1,0.0,1,1,0.0]
area_under_roc_curve
0.941731 [0.0,0.0,1,0.833333,0.0,0.0,1,0.955556,1,0.0,0.0,0.5,0.977273,0.0,1,0.0,0.0,0.0,0.952381,0.0,0.0,1,0.0,0.0]
area_under_roc_curve
0.97205 [0.0,0.0,1,1,0.0,1,0.952381,1,0.0,1,0.0,1,0.0,0.0,1,0.0,0.0,1,0.97619,0.0,0.5,0.0,1,0.0]
area_under_roc_curve
0.95042 [0.0,0.0,1,1,0.0,0.931818,0.952381,0.927778,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.0,0.97619,0.431818,0.0,1,1,0.0]
area_under_roc_curve
0.942303 [0.5,0.0,0.995098,0.72619,0.0,0.0,1,0.95,1,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.90145 [0.0,0.0,0.970588,1,0.5,0.0,1,0.838889,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.0,0.619048,0.0,0.0,0.977273,1,0.0]
area_under_roc_curve
0.966105 [0.0,0.0,1,1,0.0,0.0,1,0.972222,0.0,0.0,0.954545,1,0.0,0.0,1,1,0.0,0.0,0.952381,0.0,0.5,1,0.0,0.0]
area_under_roc_curve
0.95571 [0.0,0.0,0.955882,0.97619,0.5,0.0,1,0.977778,1,1,1,0.0,0.0,0.0,1,0.0,0.0,0.0,0.952381,0.0,0.0,0.0,1,0.0]
area_under_roc_curve
0.908586 [0.0,0.0,0.970588,1,0.0,0.954545,0.97619,0.961111,0.0,1,0.0,0.0,0.454545,0.0,1,0.0,0.0,0.0,0.97619,0.0,0.0,0.0,0.454545,0.5]
area_under_roc_curve
0.935049 [0.0,0.0,0.972222,1,0.0,0.0,1,0.966667,0.977273,0.0,0.0,1,0.0,0.977273,1,1,0.5,0.0,0.678571,0.0,0.0,1,0.0,0.0]
area_under_roc_curve
0.958102 [0.0,0.0,1,1,0.0,0.0,0.97619,0.907895,1,1,0.0,1,1,0.0,1,0.0,0.0,0.0,0.97619,0.5,0.0,0.0,1,0.0]
area_under_roc_curve
0.940108 [0.0,0.0,0.985294,0.975,0.0,0.0,0.97619,0.866667,1,0.0,0.0,0.0,1,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.5]
area_under_roc_curve
0.897181 [0.0,0.0,0.941176,1,0.5,0.5,0.928571,0.983333,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.857143,1,0.0,0.0,1,0.5]
area_under_roc_curve
0.900811 [0.0,0.0,1,0.808333,0.0,0.0,0.97619,0.877778,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.0,0.97619,1,0.5,1,0.5,0.0]
area_under_roc_curve
0.889372 [0.0,0.0,0.970588,1,0.5,0.0,1,0.883333,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.0,0.619048,1,0.0,0.0,1,0.477273]
area_under_roc_curve
0.923835 [0.0,0.0,1,1,0.0,0.0,0.97619,0.877778,0.0,1,0.0,1,0.0,0.0,1,0.0,0.5,0.0,0.97619,0.0,0.0,1,1,0.454545]
area_under_roc_curve
0.916149 [0.0,0.0,0.972222,1,0.5,0.0,0.97619,0.861111,0.0,0.0,0.0,0.5,0.0,0.0,1,1,0.0,0.0,0.97619,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.906077 [0.0,0.0,0.970588,1,0.0,0.954545,0.97619,0.85,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.952381,0.0,0.5,0.0,0.454545,0.0]
area_under_roc_curve
0.898783 [0.0,0.0,0.970588,1,0.0,0.0,0.97619,0.916667,0.0,1,0.0,1,0.0,0.0,1,0.0,0.0,0.0,0.690476,0.0,0.5,0.0,1,0.431818]
area_under_roc_curve
0.938728 [0.0,0.0,0.985294,0.975,0.0,0.0,0.97619,0.888889,0.0,0.0,0.0,1,0.0,1,1,0.0,0.0,0.0,0.928571,0.0,0.5,1,0.0,0.0]
area_under_roc_curve
0.977979 [0.0,0.0,1,1,0.0,0.931818,0.952381,0.95,0.0,1,0.0,1,0.977273,0.0,1,0.0,0.0,0.0,0.97619,0.977273,0.0,0.0,1,0.0]
area_under_roc_curve
0.84803 [0.0,0.0,1,0.75,0.0,0.0,0.97619,0.894444,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.5,0.954545,0.630952,0.454545,0.0,1,0.954545,0.454545]
area_under_roc_curve
0.878332 [0.0,0.0,0.990196,0.97619,0.0,0.0,0.97619,0.855556,1,0.0,0.0,0.0,0.977273,0.0,0.0,0.0,0.5,0.0,0.607143,0.931818,0.0,0.0,1,0.454545]
area_under_roc_curve
0.96413 [0.5,0.0,0.983333,0.975,0.0,0.0,1,0.966667,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,1,0.0]
area_under_roc_curve
0.844026 [0.0,0.0,0.988889,0.808333,0.0,0.0,0.952381,0.872222,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.5,0.0,0.766667,0.477273,0.0,0.0,0.0,0.5]
area_under_roc_curve
0.923529 [0.0,0.0,0.970588,1,0.0,0.0,1,0.952941,0.0,1,0.0,0.5,0.0,0.0,1,1,0.0,0.0,0.85,0.0,0.0,1,0.0,0.5]
area_under_roc_curve
0.948663 [0.5,0.0,1,1,0.0,0.0,0.975,0.894118,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.0,0.0,0.975,0.0,0.0,1,1,0.0]
area_under_roc_curve
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area_under_roc_curve
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0.745756 [0,0,1,1,0,0,0.8,0.571429,0,1,0,0.666667,0,0,1,0,0,0,0.8,0,0,0,1,0]
f_measure
0.766347 [0,0,0.909091,0.857143,0,0,0.8,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
f_measure
0.649689 [0,0,0.857143,1,0,0,0.4,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
f_measure
0.723671 [0,0,1,0.666667,0,0,0.8,0.888889,0,0,0,0,0,0,1,0,0,0,0.8,0,0,1,0,0]
f_measure
0.661093 [0,0,0.923077,1,0,0,0.666667,0.666667,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
f_measure
0.805797 [0,0,1,1,0,0,0.8,0.666667,0,1,0,1,0,0,1,0,0,0,0.8,0,0,1,1,0]
f_measure
0.80415 [0,0,0.909091,1,0,0,0.8,0.75,0,0,0,0,0,0,1,1,0,0,0.8,0,0,1,1,0]
f_measure
0.748774 [0,0,0.923077,1,0,0,0.8,0.75,0,1,0,0,0,0,1,1,0,0,0.666667,0,0,0,0,0]
f_measure
0.788629 [0,0,0.923077,1,0,0,0.8,0.8,0,1,0,1,0,0,1,0,0,0,0.5,0,0,0,1,0]
f_measure
0.722868 [0,0,0.909091,0.857143,0,0,0.8,0.571429,0,0,0,1,0,0,1,0,0,0,0.571429,0,0,1,0,0]
f_measure
0.768841 [0,0,1,1,0,0,0.666667,0.75,0,1,0,1,0,0,1,0,0,0,0.8,0,0,0,1,0]
f_measure
0.663768 [0,0,1,0.666667,0,0,0.8,0.666667,0,0,0,0,0,0,1,0,0,0.5,0.5,0,0,1,0.5,0]
f_measure
0.551164 [0,0,0.909091,0.8,0,0,0.8,0.444444,0,0,0,0,0,0,0,0,0,0,0.4,0,0,0,1,0]
f_measure
0.893971 [0,0,0.888889,0.857143,0,0,1,0.909091,0,1,0,0,0,0,1,1,0,0,1,0,0,1,1,0]
f_measure
0.599034 [0,0,0.888889,0.666667,0,0,0.666667,0.6,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0]
f_measure
0.797521 [0,0,0.909091,1,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,0.5,0,0,1,0,0]
f_measure
0.842424 [0,0,1,1,0,0,0.8,0.666667,0,0,0,1,0,0,1,0,0,0,0.8,0,0,1,1,0]
f_measure
0.892929 [0,0,1,1,0,0,0.8,0.888889,0,1,0,0,0,0,1,1,0,0,0.8,0,0,0,1,0]
f_measure
0.675325 [0,0,0.833333,0.8,0,0,0.8,0.571429,0,0,0,1,0,0,1,0,0,0,0.4,0,0,0,1,0]
f_measure
0.798124 [0,0,0.857143,0.8,0,0,1,0.888889,0,0,0,0,0,0,0,0,0,0,0.857143,0,0,1,0,0]
f_measure
0.592562 [0,0,0.8,0.8,0,0,0.4,0.727273,0,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0]
f_measure
0.694697 [0,0,1,0.666667,0,0,0.8,0.75,0,0,0,0,0,0,1,0,0,0,0.8,0,0,1,0,0]
f_measure
0.749954 [0,0,0.909091,0.5,0,0,1,0.888889,0,0,0,0,0,0,1,0,0,0,0.8,0,0,0,1,0]
f_measure
0.911111 [0,0,1,1,0,0,1,0.888889,0,1,0,1,0,0,1,1,0,0,0.8,0,0,0,1,0]
f_measure
0.614358 [0,0,0.888889,0.857143,0,0,0.5,0.5,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
f_measure
0.865657 [0,0,1,0.666667,0,0,0.8,0.888889,0,1,0,1,0,0,0.666667,1,0,0,1,0,0,0,0,0]
f_measure
0.758333 [0,0,1,1,0,0,0.666667,0.75,0,1,0,0,0,0,1,0,0,0,0.8,0,0,0,1,0]
f_measure
0.680808 [0,0,0.888889,0.666667,0,0,0.8,0.666667,0,1,0,0,0,0,1,0.666667,0,0,0.8,0,0,0,0,0]
f_measure
0.777778 [0,0,1,1,0,0,0.666667,0.888889,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0]
f_measure
0.748737 [0,0,1,1,0,0,0.666667,0.444444,0,0,0,0,0,0,1,0,0,0,0.75,0,0,0.666667,1,0]
f_measure
0.71832 [0,0,0.833333,1,0,0,1,0.727273,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0]
f_measure
0.629545 [0,0,0.833333,0.8,0,0,1,0.75,0,1,0,0,0,0,0,0,0,0,0.666667,0,0,0,0,0]
f_measure
0.806845 [0,0,0.923077,1,0,0,1,0.909091,0,0,0,0,0,0,0.666667,0,0,0,1,0,0,1,0,0]
f_measure
0.783009 [0,0,1,0.666667,0,0,1,0.75,0,1,0,1,0,0,0,1,0,0,0.571429,0,0,0,0,0]
f_measure
0.747475 [0,0,1,1,0,0,0.5,0.888889,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
f_measure
0.810823 [0,0,1,0.666667,0,0,0.8,0.666667,0,1,0,1,0,0,0,1,0,0,0.857143,0,0,0,0.666667,0]
f_measure
0.801299 [0,0,1,1,0,0,0.8,0.857143,0,1,0,0,0,0,1,0,0,0,0.8,0,0,0,1,0]
f_measure
0.708874 [0,0,0.833333,1,0,0,1,0.857143,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0]
f_measure
0.60303 [0,0,0.833333,0.666667,0,0,0,0.666667,0,0,0,1,0,0,1,0,0,0,0.8,0,0,0,0,0]
f_measure
0.697203 [0,0,0.923077,1,0,0,0.8,0.8,0,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0]
f_measure
0.66157 [0,0,0.909091,0.8,0,0,0.666667,0.333333,0,1,0,0,0,0,1,1,0,0,0.5,0,0,0,0,0]
f_measure
0.666667 [0,0,0.833333,0.8,0,0,0.666667,0.6,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0]
f_measure
0.636364 [0,0,0.833333,0.666667,0,0,0.666667,0.333333,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0.666667,1,0]
f_measure
0.645455 [0,0,0.833333,0.8,0,0,0,0.8,0,1,0,0,0,0,1,0,0,0,0.8,0,0,0,0,0]
f_measure
0.754779 [0,0,0.923077,0.8,0,0,1,0.666667,0,1,0,1,0,0,1,0,0,0,0.4,0,0,0,1,0]
f_measure
0.704762 [0,0,0.833333,0.857143,0,0,0.8,0.75,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0]
f_measure
0.59697 [0,0,0.8,0.666667,0,0,0,0.6,0,1,0,0,0,0,1,0,0,0,0.8,0,0,0,1,0]
f_measure
0.758874 [0,0,1,1,0,0,0.8,0.857143,0,0,0,0.666667,0,0,0,0,0,0,1,0,0,0,1,0]
f_measure
0.702273 [0,0,1,1,0,0,0.8,0.4,0,0,0,0,0,0,0,0,0,0,0.75,0,0,1,1,0]
f_measure
0.696419 [0,0,0.909091,0.8,0,0,0.666667,0.666667,0,1,0,0,0,0,0.666667,0,0,0,0.8,0,0,0,1,0]
f_measure
0.792657 [0,0,0.923077,0.8,0,0,0.666667,0.833333,0,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0]
f_measure
0.744805 [0,0,1,1,0,0,0.8,0.571429,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
f_measure
0.911111 [0,0,1,1,0,0,1,0.888889,0,1,0,0,0,0,1,1,0,0,0.8,0,0,1,0,0]
f_measure
0.830303 [0,0,1,1,0,0,0.8,0.75,0,1,0,1,0,0,0.666667,0,0,0,1,0,0,0,0,0]
f_measure
0.798501 [0,0,0.923077,0.8,0,0,1,0.857143,0,1,0,1,0,0,1,0,0,0,0.5,0,0,0,1,0]
kappa
0.743304
kappa
0.742152
kappa
0.639821
kappa
0.849673
kappa
0.794643
kappa
0.794643
kappa
0.948775
kappa
0.8
kappa
0.751082
kappa
0.899123
kappa
0.596491
kappa
0.69265
kappa
0.793722
kappa
0.800866
kappa
0.744444
kappa
0.796909
kappa
0.948775
kappa
0.798687
kappa
0.643016
kappa
0.847007
kappa
0.746137
kappa
0.688488
kappa
0.795556
kappa
0.642222
kappa
0.75162
kappa
0.798687
kappa
0.796909
kappa
0.745575
kappa
0.642222
kappa
0.79646
kappa
0.796009
kappa
0.592018
kappa
0.798246
kappa
0.650759
kappa
0.802575
kappa
0.9
kappa
0.69869
kappa
0.746137
kappa
0.748359
kappa
0.744444
kappa
0.744444
kappa
0.847345
kappa
0.696703
kappa
0.740991
kappa
0.752155
kappa
0.75
kappa
0.744444
kappa
0.634091
kappa
0.700651
kappa
0.634091
kappa
0.801296
kappa
0.799564
kappa
0.745011
kappa
0.792793
kappa
0.69869
kappa
0.753747
kappa
0.653017
kappa
0.5
kappa
0.898678
kappa
0.547046
kappa
0.786925
kappa
0.84058
kappa
0.892157
kappa
0.630695
kappa
0.776081
kappa
0.572816
kappa
0.687204
kappa
0.684211
kappa
0.895238
kappa
0.576923
kappa
0.841727
kappa
0.739953
kappa
0.685714
kappa
0.73301
kappa
0.727047
kappa
0.725
kappa
0.628916
kappa
0.833753
kappa
0.7343
kappa
0.687204
kappa
0.787952
kappa
0.788969
kappa
0.684211
kappa
0.612091
kappa
0.728395
kappa
0.630695
kappa
0.625304
kappa
0.631579
kappa
0.622549
kappa
0.7343
kappa
0.678049
kappa
0.579952
kappa
0.741176
kappa
0.683453
kappa
0.687204
kappa
0.776081
kappa
0.730392
kappa
0.892683
kappa
0.838631
kappa
0.786408
kb_relative_information_score
16.592059
kb_relative_information_score
16.627562
kb_relative_information_score
13.59652
kb_relative_information_score
19.129607
kb_relative_information_score
15.150725
kb_relative_information_score
17.169093
kb_relative_information_score
19.08307
kb_relative_information_score
17.730933
kb_relative_information_score
16.972614
kb_relative_information_score
18.935829
kb_relative_information_score
13.789434
kb_relative_information_score
15.856784
kb_relative_information_score
16.612467
kb_relative_information_score
18.693907
kb_relative_information_score
15.883336
kb_relative_information_score
17.92036
kb_relative_information_score
19.262416
kb_relative_information_score
16.692869
kb_relative_information_score
16.238665
kb_relative_information_score
17.098411
kb_relative_information_score
15.158563
kb_relative_information_score
14.272631
kb_relative_information_score
15.457727
kb_relative_information_score
15.597695
kb_relative_information_score
16.772543
kb_relative_information_score
17.794989
kb_relative_information_score
17.026039
kb_relative_information_score
16.133288
kb_relative_information_score
13.601381
kb_relative_information_score
17.484583
kb_relative_information_score
17.026173
kb_relative_information_score
14.120838
kb_relative_information_score
18.647167
kb_relative_information_score
17.342773
kb_relative_information_score
18.396369
kb_relative_information_score
20.091932
kb_relative_information_score
15.878318
kb_relative_information_score
18.520501
kb_relative_information_score
16.247334
kb_relative_information_score
16.189079
kb_relative_information_score
16.56296
kb_relative_information_score
17.486664
kb_relative_information_score
16.815425
kb_relative_information_score
14.251391
kb_relative_information_score
17.943478
kb_relative_information_score
18.223295
kb_relative_information_score
17.001309
kb_relative_information_score
13.147668
kb_relative_information_score
15.061115
kb_relative_information_score
14.428276
kb_relative_information_score
16.756599
kb_relative_information_score
16.355596
kb_relative_information_score
15.254734
kb_relative_information_score
15.766784
kb_relative_information_score
15.594795
kb_relative_information_score
17.654578
kb_relative_information_score
13.838687
kb_relative_information_score
12.793147
kb_relative_information_score
18.495643
kb_relative_information_score
11.850406
kb_relative_information_score
15.391
kb_relative_information_score
16.227991
kb_relative_information_score
17.369092
kb_relative_information_score
14.725105
kb_relative_information_score
13.448962
kb_relative_information_score
12.53393
kb_relative_information_score
16.409408
kb_relative_information_score
14.938459
kb_relative_information_score
18.995685
kb_relative_information_score
12.714706
kb_relative_information_score
17.343718
kb_relative_information_score
16.673073
kb_relative_information_score
14.594164
kb_relative_information_score
14.034012
kb_relative_information_score
14.127172
kb_relative_information_score
13.225153
kb_relative_information_score
15.198728
kb_relative_information_score
14.067873
kb_relative_information_score
16.55494
kb_relative_information_score
13.336234
kb_relative_information_score
17.047327
kb_relative_information_score
16.453677
kb_relative_information_score
13.889115
kb_relative_information_score
12.431316
kb_relative_information_score
14.834676
kb_relative_information_score
12.94595
kb_relative_information_score
13.709903
kb_relative_information_score
14.69849
kb_relative_information_score
10.511996
kb_relative_information_score
17.37863
kb_relative_information_score
14.876531
kb_relative_information_score
14.206903
kb_relative_information_score
16.774504
kb_relative_information_score
14.988214
kb_relative_information_score
14.402227
kb_relative_information_score
13.959389
kb_relative_information_score
13.957832
kb_relative_information_score
18.141658
kb_relative_information_score
15.449352
kb_relative_information_score
18.040785
mean_absolute_error
0.020476
mean_absolute_error
0.020007
mean_absolute_error
0.029013
mean_absolute_error
0.016921
mean_absolute_error
0.022318
mean_absolute_error
0.018696
mean_absolute_error
0.010312
mean_absolute_error
0.019724
mean_absolute_error
0.020576
mean_absolute_error
0.014078
mean_absolute_error
0.030715
mean_absolute_error
0.023885
mean_absolute_error
0.019807
mean_absolute_error
0.016358
mean_absolute_error
0.02109
mean_absolute_error
0.021163
mean_absolute_error
0.011378
mean_absolute_error
0.019412
mean_absolute_error
0.023512
mean_absolute_error
0.015192
mean_absolute_error
0.022238
mean_absolute_error
0.026567
mean_absolute_error
0.021229
mean_absolute_error
0.027189
mean_absolute_error
0.02189
mean_absolute_error
0.018528
mean_absolute_error
0.02059
mean_absolute_error
0.023468
mean_absolute_error
0.028677
mean_absolute_error
0.019284
mean_absolute_error
0.018702
mean_absolute_error
0.030291
mean_absolute_error
0.017425
mean_absolute_error
0.023438
mean_absolute_error
0.019901
mean_absolute_error
0.013351
mean_absolute_error
0.023866
mean_absolute_error
0.017892
mean_absolute_error
0.02294
mean_absolute_error
0.022109
mean_absolute_error
0.01979
mean_absolute_error
0.01825
mean_absolute_error
0.021411
mean_absolute_error
0.023879
mean_absolute_error
0.022109
mean_absolute_error
0.019265
mean_absolute_error
0.020334
mean_absolute_error
0.027478
mean_absolute_error
0.027865
mean_absolute_error
0.026659
mean_absolute_error
0.020856
mean_absolute_error
0.020962
mean_absolute_error
0.023153
mean_absolute_error
0.01907
mean_absolute_error
0.025706
mean_absolute_error
0.022843
mean_absolute_error
0.029543
mean_absolute_error
0.03654
mean_absolute_error
0.014386
mean_absolute_error
0.034706
mean_absolute_error
0.020923
mean_absolute_error
0.01855
mean_absolute_error
0.01245
mean_absolute_error
0.027401
mean_absolute_error
0.021586
mean_absolute_error
0.031411
mean_absolute_error
0.024164
mean_absolute_error
0.024158
mean_absolute_error
0.012212
mean_absolute_error
0.034019
mean_absolute_error
0.018487
mean_absolute_error
0.021958
mean_absolute_error
0.026471
mean_absolute_error
0.023135
mean_absolute_error
0.02245
mean_absolute_error
0.023818
mean_absolute_error
0.026218
mean_absolute_error
0.021468
mean_absolute_error
0.019712
mean_absolute_error
0.027473
mean_absolute_error
0.018539
mean_absolute_error
0.018212
mean_absolute_error
0.025901
mean_absolute_error
0.027528
mean_absolute_error
0.02299
mean_absolute_error
0.028325
mean_absolute_error
0.027036
mean_absolute_error
0.026541
mean_absolute_error
0.035926
mean_absolute_error
0.01956
mean_absolute_error
0.02411
mean_absolute_error
0.02993
mean_absolute_error
0.023018
mean_absolute_error
0.026104
mean_absolute_error
0.026999
mean_absolute_error
0.019873
mean_absolute_error
0.022253
mean_absolute_error
0.013217
mean_absolute_error
0.018561
mean_absolute_error
0.015848
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
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precision
0.716356 [0,0,0.857143,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0]
precision
0.637681 [0,0,0.833333,0.666667,0,0,1,0.666667,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0]
precision
0.851449 [0,0,1,0.75,0,0,0.666667,0.75,0,1,0,0,0,0,1,1,0,0,1,0,0,1,1,0]
precision
0.789855 [0,0,1,1,0,0,1,0.833333,0,1,0,0,0,0,0.5,0,0,0,1,0,0,0,0.5,0]
precision
0.817391 [0,0,1,0.6,0,0,1,1,0,0,0,0,0,0,1,1,0,0,0.5,0,0,1,0,0]
precision
0.971014 [0,0,1,1,0,0,0.666667,1,0,1,0,1,0,0,1,1,0,0,1,0,0,0,1,0]
precision
0.869565 [0,0,1,1,0,0,0.5,1,0,1,0,0,0,0,1,1,0,0,1,0,0,1,0,0]
precision
0.84058 [0,0,1,0.666667,0,0,1,1,0,1,1,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
precision
0.956522 [0,0,1,1,0,0,1,1,0,1,0,1,0,0,1,1,0,0,0.5,0,0,1,1,0]
precision
0.615942 [0,0,0.833333,0.666667,0,0,0.666667,1,0,0,0,0,0,0,0.5,0,0,0,0.5,0,0,0,0,0]
precision
0.759834 [0,0,0.857143,1,0,0,0.666667,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
precision
0.826087 [0,0,1,1,0,0,0.5,0.8,0,0,0,1,0,0,1,0,0,0,1,0,0,1,0,0]
precision
0.847826 [0,0,1,0.5,0,0,1,1,0,1,0,0,0,0,1,1,0,0,1,0,0,0.5,0.5,0]
precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
0.84058 [0,0,1,0.666667,0,0,0.5,0.8,0,1,0,1,0,0,1,1,0,0,1,0,0,0,1,0]
precision
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precision
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precision
0.817805 [0,0,0.857143,1,0,0,0.666667,1,0,1,0,0,0,0,1,1,0,0,0.666667,0,0,1,0,0]
precision
0.818841 [0,0,1,0.666667,0,0,0.666667,0.833333,0,1,0,0,0,0,1,0,0,0,1,0,0,1,1,0]
precision
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precision
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precision
0.744928 [0,0,1,1,0,0,0.666667,1,0,1,0,0,0,0,1,0,0,0,0.4,0,0,0,0,0]
precision
0.84058 [0,0,1,1,0,0,0.666667,1,0,1,0,0,0,0,1,1,0,0,1,0,0,0,1,0]
precision
0.913043 [0,0,1,1,0,0,1,1,0,1,0,1,0,0,1,0,0,0,1,0,0,1,1,0]
precision
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]
precision
0.691511 [0,0,1,1,0,0,0,0.714286,0,1,0,1,0,0,1,0,0,0,0.666667,0,0,0,1,0]
precision
0.797101 [0,0,1,1,0,0,0.5,1,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,1,1,0]
precision
0.807453 [0,0,1,0.5,0,0,1,0.714286,0,1,0,0,0,0,1,0,0,0,1,0,0,1,1,0]
precision
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precision
0.847826 [0,0,1,1,0,0,1,1,0,0,0,1,0,0,0.5,1,0,0,0.5,0,0,1,0,0]
precision
0.73913 [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]
precision
0.687371 [0,0,0.857143,1,0,0,0.666667,0.8,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0]
precision
0.797101 [0,0,0.833333,1,0,0,1,1,0.5,0,0,1,0,0,1,1,0,0,0.333333,0,0,1,0,0]
precision
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precision
0.764493 [0,0,1,0.75,0,0,0.666667,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
precision
0.615942 [0,0,0.75,1,0,0,0.333333,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
precision
0.724638 [0,0,1,0.666667,0,0,0.666667,1,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,1,0,0]
precision
0.652174 [0,0,0.857143,1,0,0,1,0.571429,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
precision
0.800725 [0,0,1,1,0,0,0.666667,0.75,0,1,0,1,0,0,1,0,0,0,0.666667,0,0,1,1,0]
precision
0.818841 [0,0,0.833333,1,0,0,0.666667,1,0,0,0,0,0,0,1,1,0,0,0.666667,0,0,1,1,0]
precision
0.759834 [0,0,0.857143,1,0,0,0.666667,1,0,1,0,0,0,0,1,1,0,0,0.5,0,0,0,0,0]
precision
0.759834 [0,0,0.857143,1,0,0,0.666667,0.8,0,1,0,1,0,0,1,0,0,0,0.5,0,0,0,1,0]
precision
0.799275 [0,0,1,0.75,0,0,0.666667,1,0,0,0,1,0,0,1,0,0,0,0.4,0,0,1,0,0]
precision
0.797101 [0,0,1,1,0,0,0.5,1,0,1,0,1,0,0,1,0,0,0,0.666667,0,0,0,1,0]
precision
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precision
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precision
0.887681 [0,0,1,0.75,0,0,1,0.833333,0,1,0,0,0,0,1,1,0,0,1,0,0,1,1,0]
precision
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precision
0.780303 [0,0,0.833333,1,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,0.5,0,0,1,0,0]
precision
0.837121 [0,0,1,1,0,0,0.666667,0.75,0,0,0,1,0,0,1,0,0,0,0.666667,0,0,1,1,0]
precision
0.893939 [0,0,1,1,0,0,0.666667,1,0,1,0,0,0,0,1,1,0,0,0.666667,0,0,0,1,0]
precision
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precision
0.806818 [0,0,0.75,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0.75,0,0,1,0,0]
precision
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precision
0.712121 [0,0,1,0.5,0,0,0.666667,1,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,1,0,0]
precision
0.787879 [0,0,1,0.5,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0]
precision
0.924242 [0,0,1,1,0,0,1,1,0,1,0,1,0,0,1,1,0,0,0.666667,0,0,0,1,0]
precision
0.647727 [0,0,1,0.75,0,0,0.333333,0.666667,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
precision
0.901515 [0,0,1,1,0,0,0.666667,1,0,1,0,1,0,0,0.5,1,0,0,1,0,0,0,0,0]
precision
0.787879 [0,0,1,1,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0]
precision
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precision
0.818182 [0,0,1,1,0,0,0.5,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
precision
0.763636 [0,0,1,1,0,0,1,0.5,0,0,0,0,0,0,1,0,0,0,0.6,0,0,0.5,1,0]
precision
0.677489 [0,0,0.714286,1,0,0,1,0.666667,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0]
precision
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precision
0.764069 [0,0,0.857143,1,0,0,1,0.833333,0,0,0,0,0,0,0.5,0,0,0,1,0,0,1,0,0]
precision
0.854545 [0,0,1,1,0,0,1,1,0,1,0,1,0,0,0,1,0,0,0.4,0,0,0,0,0]
precision
0.772727 [0,0,1,1,0,0,0.5,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
precision
0.867424 [0,0,1,1,0,0,0.666667,1,0,1,0,1,0,0,0,1,0,0,0.75,0,0,0,0.5,0]
precision
0.80303 [0,0,1,1,0,0,0.666667,1,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0]
precision
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precision
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precision
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precision
0.79697 [0,0,1,0.666667,0,0,0.5,1,0,1,0,0,0,0,1,1,0,0,0.4,0,0,0,0,0]
precision
0.69697 [0,0,0.833333,0.666667,0,0,1,0.5,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
precision
0.75 [0,0,0.833333,0.5,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0.5,1,0]
precision
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precision
0.779221 [0,0,0.857143,0.666667,0,0,1,1,0,1,0,1,0,0,1,0,0,0,0.333333,0,0,0,1,0]
precision
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precision
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precision
0.765152 [0,0,1,1,0,0,0.666667,1,0,0,0,0.5,0,0,0,0,0,0,1,0,0,0,1,0]
precision
0.778788 [0,0,1,1,0,0,0.666667,1,0,0,0,0,0,0,0,0,0,0,0.6,0,0,1,1,0]
precision
0.734848 [0,0,1,0.666667,0,0,0.5,1,0,1,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,1,0]
precision
0.805195 [0,0,0.857143,1,0,0,1,0.714286,0,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0]
precision
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precision
0.924242 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,1,0,0,0.666667,0,0,1,0,0]
precision
0.810606 [0,0,1,1,0,0,0.666667,0.75,0,1,0,1,0,0,0.5,0,0,0,1,0,0,0,0,0]
precision
0.794372 [0,0,0.857143,0.666667,0,0,1,1,0,1,0,1,0,0,1,0,0,0,0.5,0,0,0,1,0]
predictive_accuracy
0.782609
predictive_accuracy
0.782609
predictive_accuracy
0.695652
predictive_accuracy
0.869565
predictive_accuracy
0.826087
predictive_accuracy
0.826087
predictive_accuracy
0.956522
predictive_accuracy
0.826087
predictive_accuracy
0.782609
predictive_accuracy
0.913043
predictive_accuracy
0.652174
predictive_accuracy
0.73913
predictive_accuracy
0.826087
predictive_accuracy
0.826087
predictive_accuracy
0.782609
predictive_accuracy
0.826087
predictive_accuracy
0.956522
predictive_accuracy
0.826087
predictive_accuracy
0.695652
predictive_accuracy
0.869565
predictive_accuracy
0.782609
predictive_accuracy
0.73913
predictive_accuracy
0.826087
predictive_accuracy
0.695652
predictive_accuracy
0.782609
predictive_accuracy
0.826087
predictive_accuracy
0.826087
predictive_accuracy
0.782609
predictive_accuracy
0.695652
predictive_accuracy
0.826087
predictive_accuracy
0.826087
predictive_accuracy
0.652174
predictive_accuracy
0.826087
predictive_accuracy
0.695652
predictive_accuracy
0.826087
predictive_accuracy
0.913043
predictive_accuracy
0.73913
predictive_accuracy
0.782609
predictive_accuracy
0.782609
predictive_accuracy
0.782609
predictive_accuracy
0.782609
predictive_accuracy
0.869565
predictive_accuracy
0.73913
predictive_accuracy
0.782609
predictive_accuracy
0.782609
predictive_accuracy
0.782609
predictive_accuracy
0.782609
predictive_accuracy
0.695652
predictive_accuracy
0.73913
predictive_accuracy
0.695652
predictive_accuracy
0.826087
predictive_accuracy
0.826087
predictive_accuracy
0.782609
predictive_accuracy
0.826087
predictive_accuracy
0.73913
predictive_accuracy
0.782609
predictive_accuracy
0.695652
predictive_accuracy
0.565217
predictive_accuracy
0.913043
predictive_accuracy
0.608696
predictive_accuracy
0.818182
predictive_accuracy
0.863636
predictive_accuracy
0.909091
predictive_accuracy
0.681818
predictive_accuracy
0.818182
predictive_accuracy
0.636364
predictive_accuracy
0.727273
predictive_accuracy
0.727273
predictive_accuracy
0.909091
predictive_accuracy
0.636364
predictive_accuracy
0.863636
predictive_accuracy
0.772727
predictive_accuracy
0.727273
predictive_accuracy
0.772727
predictive_accuracy
0.772727
predictive_accuracy
0.772727
predictive_accuracy
0.681818
predictive_accuracy
0.863636
predictive_accuracy
0.772727
predictive_accuracy
0.727273
predictive_accuracy
0.818182
predictive_accuracy
0.818182
predictive_accuracy
0.727273
predictive_accuracy
0.681818
predictive_accuracy
0.772727
predictive_accuracy
0.681818
predictive_accuracy
0.681818
predictive_accuracy
0.681818
predictive_accuracy
0.681818
predictive_accuracy
0.772727
predictive_accuracy
0.727273
predictive_accuracy
0.636364
predictive_accuracy
0.772727
predictive_accuracy
0.727273
predictive_accuracy
0.727273
predictive_accuracy
0.818182
predictive_accuracy
0.772727
predictive_accuracy
0.909091
predictive_accuracy
0.863636
predictive_accuracy
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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
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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
0.782609 [0,0,1,1,0,0,1,0.6,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.782609 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.695652 [0,0,0.833333,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0]
recall
0.869565 [0,0,1,1,0,0,1,0.75,0,1,0,0,0,0,1,1,0,0,0.666667,0,0,1,1,0]
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
0.826087 [0,0,1,1,0,0,1,0.6,0,0,0,0,0,0,1,1,0,0,1,0,0,1,0,0]
recall
0.956522 [0,0,1,1,0,0,1,0.8,0,1,0,1,0,0,1,1,0,0,1,0,0,0,1,0]
recall
0.826087 [0,0,1,1,0,0,1,0.5,0,1,0,0,0,0,1,1,0,0,1,0,0,1,0,0]
recall
0.782609 [0,0,0.833333,1,0,0,1,0.6,0,1,1,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.913043 [0,0,1,1,0,0,1,0.6,0,1,0,1,0,0,1,1,0,0,1,0,0,1,1,0]
recall
0.652174 [0,0,0.833333,1,0,0,1,0.6,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.73913 [0,0,1,0.5,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.826087 [0,0,1,1,0,0,1,0.8,0,0,0,1,0,0,1,0,0,0,0.5,0,0,1,0,0]
recall
0.826087 [0,0,0.8,0.666667,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,1,0,0,1,1,0]
recall
0.782609 [0,0,0.833333,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.826087 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,0,0,0,1,1,0,0,1,1,0]
recall
0.956522 [0,0,1,1,0,0,1,1,0,1,0,1,0,0,1,1,0,0,1,0,0,0,1,0]
recall
0.826087 [0,0,1,1,0,0,1,0.75,0,1,0,1,0,0,1,1,0,0,0.666667,0,0,0,0,0]
recall
0.695652 [0,0,1,1,0,0,1,0.6,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.869565 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,1,0,0,1,0,0]
recall
0.782609 [0,0,1,1,0,0,1,0.8,0,0,1,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.73913 [0,0,0.833333,1,0,0,0,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.826087 [0,0,1,0.333333,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,1,1,0]
recall
0.695652 [0,0,1,0.5,0,0,0,1,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
recall
0.782609 [0,0,1,1,0,0,1,0.8,0,1,0,1,0,0,1,1,0,0,0.5,0,0,0,0,0]
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
0.826087 [0,0,0.833333,1,0,0,1,0.8,0,1,0,1,0,0,1,1,0,0,0.5,0,0,0,1,0]
recall
0.782609 [0,0,1,0.5,0,0,0.5,0.8,0,1,0,1,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.695652 [0,0,1,1,0,0,1,0.4,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,1,0]
recall
0.826087 [0,0,1,1,0,0,1,0.6,0,1,0,0,0,0,1,1,0,0,1,0,0,1,0,0]
recall
0.826087 [0,0,0.833333,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,1,1,0]
recall
0.652174 [0,0,1,1,0,0,1,0.4,0,0,0,1,0,0,0,1,0,0,0,0,0,1,0,0]
recall
0.826087 [0,0,1,1,0,0,1,0.6,0,1,0,0,0,0,1,0,0,0,1,0,0,1,1,0]
recall
0.695652 [0,0,1,1,0,0,1,0.4,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.826087 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,1,0,0,0,1,0]
recall
0.913043 [0,0,1,1,0,0,1,1,0,1,0,1,0,0,1,0,0,0,1,0,0,1,1,0]
recall
0.73913 [0,0,1,0.666667,0,0,1,0.6,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
recall
0.782609 [0,0,1,1,0,0,0,1,0,1,0,1,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.782609 [0,0,1,1,0,0,1,0.6,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0]
recall
0.782609 [0,0,0.833333,0.5,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,1,0,0,1,1,0]
recall
0.782609 [0,0,1,1,0,0,1,0.6,0,1,0,0,0,0,1,0,0,0,0.5,0,0,1,1,0]
recall
0.869565 [0,0,1,1,0,0,1,0.8,0,0,0,1,0,0,1,1,0,0,1,0,0,1,0,0]
recall
0.73913 [0,0,0.833333,1,0,0,1,0.6,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
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
0.782609 [0,0,1,1,0,0,1,0.6,1,0,0,1,0,0,1,1,0,0,0.5,0,0,1,0,0]
recall
0.782609 [0,0,1,1,0,0,1,0.5,0,1,0,1,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.782609 [0,0,0.833333,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
recall
0.695652 [0,0,1,1,0,0,0.5,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.73913 [0,0,1,0.666667,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
recall
0.695652 [0,0,1,1,0,0,0.5,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.826087 [0,0,1,1,0,0,1,0.6,0,1,0,1,0,0,1,0,0,0,1,0,0,1,1,0]
recall
0.826087 [0,0,1,1,0,0,1,0.6,0,0,0,0,0,0,1,1,0,0,1,0,0,1,1,0]
recall
0.782609 [0,0,1,1,0,0,1,0.6,0,1,0,0,0,0,1,1,0,0,1,0,0,0,0,0]
recall
0.826087 [0,0,1,1,0,0,1,0.8,0,1,0,1,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.73913 [0,0,0.833333,1,0,0,1,0.4,0,0,0,1,0,0,1,0,0,0,1,0,0,1,0,0]
recall
0.782609 [0,0,1,1,0,0,1,0.6,0,1,0,1,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.695652 [0,0,1,0.5,0,0,1,0.6,0,0,0,0,0,0,1,0,0,1,0.5,0,0,1,1,0]
recall
0.565217 [0,0,0.833333,1,0,0,1,0.4,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,1,0]
recall
0.913043 [0,0,0.8,1,0,0,1,1,0,1,0,0,0,0,1,1,0,0,1,0,0,1,1,0]
recall
0.608696 [0,0,0.8,0.666667,0,0,1,0.6,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0]
recall
0.818182 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,0.5,0,0,1,0,0]
recall
0.863636 [0,0,1,1,0,0,1,0.6,0,0,0,1,0,0,1,0,0,0,1,0,0,1,1,0]
recall
0.909091 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,1,0,0,0,1,0]
recall
0.681818 [0,0,0.833333,1,0,0,1,0.4,0,0,0,1,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.818182 [0,0,1,0.666667,0,0,1,0.8,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0]
recall
0.636364 [0,0,0.8,1,0,0,0.5,0.8,0,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0]
recall
0.727273 [0,0,1,1,0,0,1,0.6,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0]
recall
0.727273 [0,0,0.833333,0.5,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.909091 [0,0,1,1,0,0,1,0.8,0,1,0,1,0,0,1,1,0,0,1,0,0,0,1,0]
recall
0.636364 [0,0,0.8,1,0,0,1,0.4,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.863636 [0,0,1,0.5,0,0,1,0.8,0,1,0,1,0,0,1,1,0,0,1,0,0,0,0,0]
recall
0.772727 [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
0.727273 [0,0,0.8,1,0,0,1,0.6,0,1,0,0,0,0,1,1,0,0,1,0,0,0,0,0]
recall
0.772727 [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
0.772727 [0,0,1,1,0,0,0.5,0.4,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0]
recall
0.772727 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0]
recall
0.681818 [0,0,1,1,0,0,1,0.6,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.863636 [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
0.772727 [0,0,1,0.5,0,0,1,0.6,0,1,0,1,0,0,0,1,0,0,1,0,0,0,0,0]
recall
0.727273 [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
0.818182 [0,0,1,0.5,0,0,1,0.5,0,1,0,1,0,0,0,1,0,0,1,0,0,0,1,0]
recall
0.818182 [0,0,1,1,0,0,1,0.75,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.727273 [0,0,1,1,0,0,1,0.75,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0]
recall
0.681818 [0,0,0.833333,1,0,0,0,0.8,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.772727 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0]
recall
0.681818 [0,0,0.833333,1,0,0,1,0.2,0,1,0,0,0,0,1,1,0,0,0.666667,0,0,0,0,0]
recall
0.681818 [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]
recall
0.681818 [0,0,0.833333,1,0,0,1,0.2,0,1,0,0,0,0,1,0,0,0,0.5,0,0,1,1,0]
recall
0.681818 [0,0,0.833333,1,0,0,0,1,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0]
recall
0.772727 [0,0,1,1,0,0,1,0.5,0,1,0,1,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.727273 [0,0,0.833333,1,0,0,1,0.75,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0]
recall
0.636364 [0,0,0.666667,1,0,0,0,0.75,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.772727 [0,0,1,1,0,0,1,0.75,0,0,0,1,0,0,0,0,0,0,1,0,0,0,1,0]
recall
0.727273 [0,0,1,1,0,0,1,0.25,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0]
recall
0.727273 [0,0,0.833333,1,0,0,1,0.5,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0]
recall
0.818182 [0,0,1,0.666667,0,0,0.5,1,0,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0]
recall
0.772727 [0,0,1,1,0,0,1,0.5,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0]
recall
0.909091 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,1,0,0,1,0,0]
recall
0.863636 [0,0,1,1,0,0,1,0.75,0,1,0,1,0,0,1,0,0,0,1,0,0,0,0,0]
recall
0.818182 [0,0,1,1,0,0,1,0.75,0,1,0,1,0,0,1,0,0,0,0.5,0,0,0,1,0]
relative_absolute_error
0.28428
relative_absolute_error
0.276874
relative_absolute_error
0.400938
relative_absolute_error
0.231377
relative_absolute_error
0.30886
relative_absolute_error
0.259614
relative_absolute_error
0.143313
relative_absolute_error
0.271383
relative_absolute_error
0.284627
relative_absolute_error
0.194939
relative_absolute_error
0.424711
relative_absolute_error
0.3304
relative_absolute_error
0.274765
relative_absolute_error
0.224837
relative_absolute_error
0.291855
relative_absolute_error
0.292164
relative_absolute_error
0.157491
relative_absolute_error
0.265385
relative_absolute_error
0.325048
relative_absolute_error
0.210238
relative_absolute_error
0.307438
relative_absolute_error
0.368989
relative_absolute_error
0.294969
relative_absolute_error
0.37157
relative_absolute_error
0.299688
relative_absolute_error
0.256296
relative_absolute_error
0.28499
relative_absolute_error
0.322433
relative_absolute_error
0.39662
relative_absolute_error
0.266914
relative_absolute_error
0.258759
relative_absolute_error
0.419605
relative_absolute_error
0.241136
relative_absolute_error
0.323828
relative_absolute_error
0.272456
relative_absolute_error
0.183225
relative_absolute_error
0.331075
relative_absolute_error
0.244849
relative_absolute_error
0.317328
relative_absolute_error
0.305899
relative_absolute_error
0.273809
relative_absolute_error
0.252147
relative_absolute_error
0.296119
relative_absolute_error
0.330323
relative_absolute_error
0.302137
relative_absolute_error
0.264278
relative_absolute_error
0.281964
relative_absolute_error
0.379887
relative_absolute_error
0.382702
relative_absolute_error
0.368562
relative_absolute_error
0.285531
relative_absolute_error
0.287945
relative_absolute_error
0.320279
relative_absolute_error
0.263848
relative_absolute_error
0.356527
relative_absolute_error
0.312799
relative_absolute_error
0.404137
relative_absolute_error
0.504454
relative_absolute_error
0.197695
relative_absolute_error
0.477801
relative_absolute_error
0.287876
relative_absolute_error
0.256289
relative_absolute_error
0.173354
relative_absolute_error
0.381452
relative_absolute_error
0.302414
relative_absolute_error
0.432444
relative_absolute_error
0.332527
relative_absolute_error
0.336161
relative_absolute_error
0.168161
relative_absolute_error
0.470512
relative_absolute_error
0.255307
relative_absolute_error
0.302302
relative_absolute_error
0.364431
relative_absolute_error
0.32207
relative_absolute_error
0.313653
relative_absolute_error
0.329071
relative_absolute_error
0.360342
relative_absolute_error
0.298865
relative_absolute_error
0.274178
relative_absolute_error
0.378075
relative_absolute_error
0.256465
relative_absolute_error
0.251205
relative_absolute_error
0.35452
relative_absolute_error
0.383146
relative_absolute_error
0.317032
relative_absolute_error
0.395489
relative_absolute_error
0.372829
relative_absolute_error
0.369636
relative_absolute_error
0.496877
relative_absolute_error
0.26979
relative_absolute_error
0.333603
relative_absolute_error
0.412739
relative_absolute_error
0.314535
relative_absolute_error
0.360882
relative_absolute_error
0.372403
relative_absolute_error
0.27718
relative_absolute_error
0.307974
relative_absolute_error
0.183873
relative_absolute_error
0.256762
relative_absolute_error
0.218596
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
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