363077
2
Joaquin Vanschoren
1889
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
9
autos
https://www.openml.org/data/download/9/dataset_9_autos.arff
-1
1256551
description
https://www.openml.org/data/download/1256551/weka_generated_run2575074071371536197.xml
-1
1256554
model_readable
https://www.openml.org/data/download/1256554/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE8889168810309655706.model
-1
1256553
model_serialized
https://www.openml.org/data/download/1256553/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE8822250634233310805.model
-1
1256552
predictions
https://www.openml.org/data/download/1256552/weka_generated_predictions5440637973764625746.arff
area_under_roc_curve
0.942334 [0.0,0.999554,0.95314,0.941344,0.919626,0.933866,0.98508]
average_cost
0
f_measure
0.821817 [0,0.949153,0.83945,0.849478,0.784572,0.790698,0.836036]
kappa
0.769094
kb_relative_information_score
1576.427315
mean_absolute_error
0.057932
mean_prior_absolute_error
0.220919
number_of_instances
2050 [0,30,220,670,540,320,270]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.82199 [0,0.965517,0.847222,0.848214,0.797323,0.784615,0.814035]
predictive_accuracy
0.821951
prior_entropy
2.326811
recall
0.821951 [0,0.933333,0.831818,0.850746,0.772222,0.796875,0.859259]
relative_absolute_error
0.262231
root_mean_prior_squared_error
0.331758
root_mean_squared_error
0.208361
root_relative_squared_error
0.62805
scimark_benchmark
1324.840815 [811.6522555978787, 965.6501745305683, 529.7196467559722, 1043.9824120742528, 3273.199585340755]
total_cost
0
usercpu_time_millis
10
usercpu_time_millis_testing
0
usercpu_time_millis_training
10
area_under_roc_curve
0.964616 [0.0,0.0,1,1,0.8625,1,0.981481]
area_under_roc_curve
0.968027 [0.0,1,1,0.989796,0.9,1,1]
area_under_roc_curve
0.925826 [0.0,0.0,0.947368,0.959184,0.833333,0.981481,0.962963]
area_under_roc_curve
0.977844 [0.0,0.0,1,1,0.9625,0.907407,1]
area_under_roc_curve
0.964172 [0.0,0.0,1,0.959184,0.922222,1,1]
area_under_roc_curve
0.990249 [0.0,0.0,1,0.989796,0.977778,1,1]
area_under_roc_curve
0.976859 [0.0,0.0,1,1,0.955556,0.944444,0.973684]
area_under_roc_curve
0.942512 [0.0,0.0,1,0.979592,0.9,0.897059,0.973684]
area_under_roc_curve
0.976644 [0.0,0.0,1,0.94898,0.977778,1,1]
area_under_roc_curve
0.851663 [0.0,0.0,1,0.836735,0.833333,0.675926,1]
area_under_roc_curve
0.960091 [0.0,0.0,1,0.989796,0.9,0.981481,0.962963]
area_under_roc_curve
0.944444 [0.0,1,1,0.955556,0.877778,0.981481,0.962963]
area_under_roc_curve
0.93424 [0.0,0.0,1,0.897959,0.888889,1,1]
area_under_roc_curve
0.962396 [0.0,0.0,0.962963,0.938776,0.95,1,1]
area_under_roc_curve
0.906407 [0.0,0.0,1,0.969388,0.825,0.794118,0.973684]
area_under_roc_curve
0.914286 [0.0,0.0,1,1,0.866667,0.666667,1]
area_under_roc_curve
0.932052 [0.0,0.0,0.962963,0.966667,0.866667,1,0.842105]
area_under_roc_curve
0.927833 [0.0,0.0,0.684211,0.989796,0.8375,1,1]
area_under_roc_curve
0.964146 [0.0,0.0,1,0.966667,0.966667,0.911765,1]
area_under_roc_curve
0.954497 [0.0,0.0,1,1,0.933333,0.814815,1]
area_under_roc_curve
0.981859 [0.0,1,1,0.969388,1,0.944444,1]
area_under_roc_curve
0.960317 [0.0,1,1,0.988889,0.9,1,0.944444]
area_under_roc_curve
0.966881 [0.0,1,0.973684,0.908163,1,1,1]
area_under_roc_curve
0.960979 [0.0,1,1,1,0.925,0.851852,1]
area_under_roc_curve
0.910289 [0.0,1,0.75,0.846939,0.9875,1,1]
area_under_roc_curve
0.95688 [0.0,1,1,0.969388,0.911111,1,0.921053]
area_under_roc_curve
0.934921 [0.0,1,1,0.827778,0.944444,1,1]
area_under_roc_curve
0.955688 [0.0,1,1,1,0.925,0.833333,0.981481]
area_under_roc_curve
1 [0.0,1,1,1,1,1,1]
area_under_roc_curve
0.943955 [0.0,1,0.947368,0.959184,0.877778,1,0.973684]
area_under_roc_curve
0.947671 [0.0,1,0.947368,0.918367,0.966667,0.925926,1]
area_under_roc_curve
0.908279 [0.0,0.0,1,0.944444,0.822222,0.882353,0.981481]
area_under_roc_curve
0.941893 [0.0,1,1,0.938776,0.875,0.944444,1]
area_under_roc_curve
0.967923 [0.0,1,1,1,0.8875,1,0.962963]
area_under_roc_curve
0.930414 [0.0,1,1,0.94898,0.9125,0.777778,1]
area_under_roc_curve
0.929516 [0.0,1,0.962963,0.887755,0.95,0.888889,1]
area_under_roc_curve
0.959259 [0.0,1,1,1,0.866667,1,0.981481]
area_under_roc_curve
0.912875 [0.0,1,0.868421,0.908163,0.8375,1,0.962963]
area_under_roc_curve
0.845642 [0.0,1,0.973684,0.844444,0.661111,0.925926,1]
area_under_roc_curve
1 [0.0,1,1,1,1,1,1]
area_under_roc_curve
0.918117 [0.0,1,1,0.969388,0.766667,1,0.947368]
area_under_roc_curve
0.957103 [0.0,0.0,0.973684,0.959184,0.8875,1,1]
area_under_roc_curve
0.947279 [0.0,1,1,0.94898,0.95,0.833333,1]
area_under_roc_curve
0.980952 [0.0,1,1,0.994444,0.938889,1,1]
area_under_roc_curve
0.955026 [0.0,1,1,1,0.9,0.925926,0.925926]
area_under_roc_curve
0.935847 [0.0,1,0.759259,1,0.875,1,1]
area_under_roc_curve
0.96348 [0.0,1,0.973684,0.897959,1,1,1]
area_under_roc_curve
0.948271 [0.0,1,1,0.94898,0.9875,0.777778,1]
area_under_roc_curve
0.96721 [0.0,1,0.947368,1,0.95,0.888889,1]
area_under_roc_curve
0.902901 [0.0,1,0.947368,0.785714,0.925,0.985294,1]
area_under_roc_curve
0.948291 [0.0,0.0,0.944444,0.868132,1,1,1]
area_under_roc_curve
0.980769 [0.0,0.0,1,0.945055,1,1,1]
area_under_roc_curve
0.93911 [0.0,0.0,1,0.901099,0.906667,0.980392,1]
area_under_roc_curve
0.900537 [0.0,0.0,0.944444,0.77381,0.952381,0.941176,0.980392]
area_under_roc_curve
0.987059 [0.0,0.0,1,1,0.96,1,0.980392]
area_under_roc_curve
0.976923 [0.0,0.0,1,0.934066,1,1,1]
area_under_roc_curve
0.976546 [0.0,0.0,1,0.989011,0.933333,0.980392,1]
area_under_roc_curve
0.984615 [0.0,0.0,1,0.956044,1,1,1]
area_under_roc_curve
0.895666 [0.0,0.0,0.944444,0.879121,0.88,0.941176,0.882353]
area_under_roc_curve
0.934321 [0.0,0.0,0.708333,0.988095,0.88,1,0.980392]
area_under_roc_curve
0.88997 [0.0,0.0,1,0.89011,0.866667,0.745098,1]
area_under_roc_curve
0.972353 [0.0,0.0,1,1,0.96,0.941176,0.941176]
area_under_roc_curve
0.962564 [0.0,0.0,1,0.912088,0.973333,1,1]
area_under_roc_curve
0.957049 [0.0,0.0,0.944444,0.97619,0.928571,0.960784,0.980392]
area_under_roc_curve
0.94 [0.0,0.0,1,0.857143,0.96,1,1]
area_under_roc_curve
0.916305 [0.0,0.0,1,0.967033,0.946667,0.607843,1]
area_under_roc_curve
0.912481 [0.0,0.0,1,0.967033,0.866667,0.735294,0.980392]
area_under_roc_curve
0.917117 [0.0,0.0,0.972222,0.901099,0.853333,0.980392,0.960784]
area_under_roc_curve
0.996667 [0.0,0.0,1,1,0.986667,1,1]
area_under_roc_curve
0.939244 [0.0,0.0,1,0.952381,0.92,0.843137,0.980392]
area_under_roc_curve
0.966706 [0.0,0.0,0.736111,0.988095,0.986667,1,1]
area_under_roc_curve
0.938846 [0.0,0.0,0.916667,0.868132,0.973333,1,1]
area_under_roc_curve
1 [0.0,0.0,1,1,1,1,1]
area_under_roc_curve
0.837934 [0.0,0.0,1,0.758242,0.916667,0.705882,0.916667]
area_under_roc_curve
0.897269 [0.0,0.0,1,0.845238,0.880952,0.862745,1]
area_under_roc_curve
0.93128 [0.0,0.0,0.972222,0.97619,0.813333,0.96875,0.960784]
area_under_roc_curve
0.854047 [0.0,0.0,0.638889,0.862637,0.8,0.941176,0.980392]
area_under_roc_curve
0.982773 [0.0,0.0,1,1,0.952381,0.980392,1]
area_under_roc_curve
0.916276 [0.0,0.0,0.680556,0.945055,0.893333,0.960784,1]
area_under_roc_curve
0.935518 [0.0,0.0,1,0.952381,0.893333,0.843137,1]
area_under_roc_curve
0.962113 [0.0,0.0,1,0.928571,0.946667,0.984375,1]
area_under_roc_curve
0.939713 [0.0,0.0,1,0.956044,0.973333,0.745098,1]
area_under_roc_curve
0.922887 [0.0,0.0,0.680556,0.964286,0.904762,1,0.960784]
area_under_roc_curve
0.936538 [0.0,0.0,0.944444,0.89011,0.933333,1,0.972222]
area_under_roc_curve
0.990546 [0.0,0.0,1,1,0.988095,0.960784,1]
area_under_roc_curve
0.946151 [0.0,0.0,0.972222,0.863095,0.96,1,1]
area_under_roc_curve
0.957014 [0.0,0.0,1,0.978022,1,0.764706,1]
area_under_roc_curve
0.953571 [0.0,0.0,1,0.916667,0.928571,1,1]
area_under_roc_curve
0.964887 [0.0,0.0,0.960784,0.945055,0.96,1,1]
area_under_roc_curve
0.99 [0.0,0.0,1,1,0.96,1,1]
area_under_roc_curve
0.893922 [0.0,0.0,1,0.833333,0.893333,0.803922,1]
area_under_roc_curve
0.939887 [0.0,0.0,0.813725,0.945055,0.96,0.980392,1]
area_under_roc_curve
0.951471 [0.0,0.0,1,1,0.916667,0.843137,1]
area_under_roc_curve
0.942473 [0.0,0.0,0.694444,0.989011,0.92,0.984375,1]
area_under_roc_curve
0.91634 [0.0,0.0,0.972222,0.940476,0.809524,1,0.960784]
area_under_roc_curve
0.92381 [0.0,0.0,0.916667,0.892857,0.880952,1,1]
area_under_roc_curve
0.986154 [0.0,0.0,1,0.989011,0.96,1,1]
area_under_roc_curve
0.979832 [0.0,0.0,0.960784,0.952381,1,1,1]
area_under_roc_curve
0.983333 [0.0,0.0,1,1,0.933333,1,1]
area_under_roc_curve
0.990392 [0.0,0.0,1,1,0.973333,1,0.980392]
average_cost
0
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f_measure
0.902343 [0,0,0.8,0.933333,0.888889,1,0.857143]
f_measure
0.905999 [0,1,1,0.857143,0.909091,0.857143,1]
f_measure
0.712925 [0,0,0.4,0.857143,0.6,0.857143,0.666667]
f_measure
0.901587 [0,0,1,0.933333,0.8,0.8,1]
f_measure
0.856246 [0,0,0.666667,0.823529,0.909091,0.857143,1]
f_measure
0.902058 [0,0,1,0.833333,0.923077,0.857143,1]
f_measure
0.74881 [0,0,1,0.875,0.6,0.666667,0.5]
f_measure
0.757195 [0,0,1,0.857143,0.769231,0.571429,0.5]
f_measure
0.898657 [0,0,0.666667,0.857143,0.923077,1,1]
f_measure
0.675479 [0,0,1,0.75,0.727273,0,0.857143]
f_measure
0.803175 [0,0,0.666667,0.933333,0.833333,0.666667,0.666667]
f_measure
0.810173 [0,1,1,0.833333,0.727273,0.8,0.75]
f_measure
0.862454 [0,0,1,0.923077,0.833333,0.75,0.8]
f_measure
0.86321 [0,0,0.75,0.923077,0.888889,0.857143,0.8]
f_measure
0.71446 [0,0,0.8,0.769231,0.666667,0.571429,0.8]
f_measure
0.8 [0,0,1,1,0.8,0,1]
f_measure
0.74359 [0,0,0.666667,0.833333,0.769231,1,0]
f_measure
0.898413 [0,0,0.666667,0.933333,0.8,1,1]
f_measure
0.751753 [0,0,0.8,0.769231,0.666667,0.75,0.857143]
f_measure
0.789225 [0,0,0.666667,0.875,0.769231,0.5,1]
f_measure
0.809524 [0,1,1,0.8,0.8,0.666667,0.8]
f_measure
0.85838 [0,1,1,0.909091,0.833333,0.857143,0.666667]
f_measure
0.903752 [0,1,0.8,0.833333,0.909091,1,1]
f_measure
0.838322 [0,1,1,0.933333,0.8,0.5,0.857143]
f_measure
0.758761 [0,1,0.571429,0.727273,0.909091,0.75,0.666667]
f_measure
0.764286 [0,1,1,0.857143,0.666667,0.75,0.4]
f_measure
0.804082 [0,1,1,0.6,0.714286,1,1]
f_measure
0.8557 [0,1,1,0.933333,0.727273,0.8,0.8]
f_measure
1 [0,1,1,1,1,1,1]
f_measure
0.85873 [0,1,0.8,0.833333,0.833333,1,0.8]
f_measure
0.811565 [0,1,0.666667,0.833333,0.857143,0.8,0.666667]
f_measure
0.7114 [0,0,1,0.833333,0.545455,0.666667,0.666667]
f_measure
0.850397 [0,1,1,0.875,0.666667,0.8,1]
f_measure
0.905518 [0,1,1,1,0.888889,0.857143,0.666667]
f_measure
0.753968 [0,1,1,0.8,0.666667,0.5,0.8]
f_measure
0.716728 [0,1,0.666667,0.769231,0.666667,0.666667,0.666667]
f_measure
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f_measure
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f_measure
0.586116 [0,0,0.5,0.714286,0.545455,0.5,0.75]
f_measure
0.951804 [0,1,1,0.933333,0.909091,1,1]
f_measure
0.754762 [0,1,1,0.857143,0.6,0.75,0.5]
f_measure
0.906878 [0,0,0.8,0.857143,0.888889,1,1]
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0.812585 [0,1,1,0.857143,0.75,0.571429,0.8]
f_measure
0.952048 [0,1,1,0.923077,0.909091,1,1]
f_measure
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f_measure
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f_measure
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f_measure
0.80873 [0,1,0.666667,0.75,0.8,0.8,1]
f_measure
0.883117 [0,0,0.8,1,0.909091,0.8,1]
f_measure
0.803944 [0,1,0.8,0.727273,0.727273,0.888889,1]
f_measure
0.953077 [0,0,0.8,0.923077,1,1,1]
f_measure
0.95035 [0,0,1,0.923077,0.909091,1,1]
f_measure
0.689916 [0,0,0.8,0.705882,0.571429,0.666667,0.8]
f_measure
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f_measure
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f_measure
0.792802 [0,0,0.666667,0.769231,0.833333,0.857143,0.8]
f_measure
0.900794 [0,0,1,0.857143,0.888889,0.857143,1]
f_measure
0.904167 [0,0,1,0.833333,1,0.75,1]
f_measure
0.744895 [0,0,0.8,0.923077,0.727273,0.666667,0.4]
f_measure
0.801905 [0,0,0.666667,0.8,0.666667,1,0.857143]
f_measure
0.682738 [0,0,0.666667,0.75,0.6,0.5,0.857143]
f_measure
0.795714 [0,0,1,1,0.8,0.4,0.571429]
f_measure
0.95035 [0,0,1,0.923077,0.909091,1,1]
f_measure
0.731777 [0,0,0.666667,0.769231,0.769231,0.5,0.857143]
f_measure
0.9 [0,0,1,0.833333,0.833333,1,1]
f_measure
0.783333 [0,0,0.8,0.857143,0.833333,0.5,0.8]
f_measure
0.851648 [0,0,1,0.923077,0.8,0.666667,0.857143]
f_measure
0.804167 [0,0,0.8,0.833333,0.8,0.8,0.75]
f_measure
0.898921 [0,0,1,0.923077,0.909091,0.857143,0.8]
f_measure
0.643864 [0,0,0.857143,0.769231,0.666667,0.285714,0.5]
f_measure
0.849394 [0,0,0.666667,0.909091,0.8,0.8,1]
f_measure
0.66 [0,0,0.4,0.666667,0.666667,0.666667,0.8]
f_measure
1 [0,0,1,1,1,1,1]
f_measure
0.705769 [0,0,1,0.666667,0.769231,0.5,0.666667]
f_measure
0.744286 [0,0,1,0.714286,0.6,0.666667,1]
f_measure
0.84359 [0,0,0.666667,0.923077,0.8,0.857143,0.857143]
f_measure
0.646364 [0,0,0.5,0.857143,0.545455,0.4,0.666667]
f_measure
0.834066 [0,0,1,0.923077,0.666667,0.857143,0.857143]
f_measure
0.684167 [0,0,0.666667,0.8,0.6,0.75,0.5]
f_measure
0.797143 [0,0,0.8,0.857143,0.8,0.666667,0.8]
f_measure
0.852198 [0,0,1,0.769231,0.8,0.857143,1]
f_measure
0.83125 [0,0,1,0.875,0.8,0.5,1]
f_measure
0.749853 [0,0,0.666667,0.833333,0.615385,0.857143,0.8]
f_measure
0.846667 [0,0,0.666667,0.857143,0.8,1,0.8]
f_measure
0.901299 [0,0,1,1,0.909091,0.666667,0.857143]
f_measure
0.838333 [0,0,0.8,0.666667,0.833333,1,1]
f_measure
0.775189 [0,0,0.666667,0.875,0.909091,0.666667,0.5]
f_measure
0.795227 [0,0,1,0.909091,0.6,0.75,0.8]
f_measure
0.79962 [0,0,0.857143,0.769231,0.727273,0.8,1]
f_measure
0.902442 [0,0,1,0.923077,0.888889,0.857143,0.857143]
f_measure
0.698247 [0,0,0.5,0.571429,0.727273,0.8,1]
f_measure
0.855577 [0,0,0.8,0.923077,0.8,0.75,1]
f_measure
0.898571 [0,0,1,1,0.833333,0.8,0.857143]
f_measure
0.849744 [0,0,0.666667,0.923077,0.8,0.8,1]
f_measure
0.739341 [0,0,0.5,0.769231,0.6,1,0.857143]
f_measure
0.796007 [0,0,0.666667,0.769231,0.833333,0.8,0.857143]
f_measure
0.842321 [0,0,1,0.875,0.75,0.8,0.857143]
f_measure
0.793799 [0,0,0.857143,0.6,0.909091,0.75,1]
f_measure
0.952222 [0,0,1,1,0.888889,1,0.8]
f_measure
0.896667 [0,0,1,0.933333,0.8,1,0.8]
kappa
0.87574
kappa
0.876833
kappa
0.630499
kappa
0.875
kappa
0.804954
kappa
0.876106
kappa
0.683735
kappa
0.681818
kappa
0.871951
kappa
0.617021
kappa
0.744681
kappa
0.759312
kappa
0.813609
kappa
0.817919
kappa
0.629412
kappa
0.806154
kappa
0.6875
kappa
0.873874
kappa
0.697406
kappa
0.73913
kappa
0.753666
kappa
0.819484
kappa
0.880342
kappa
0.814706
kappa
0.70255
kappa
0.698276
kappa
0.755814
kappa
0.813609
kappa
1
kappa
0.818966
kappa
0.753666
kappa
0.631579
kappa
0.813609
kappa
0.878613
kappa
0.6875
kappa
0.642045
kappa
0.766667
kappa
0.636888
kappa
0.507331
kappa
0.937685
kappa
0.694767
kappa
0.876833
kappa
0.759312
kappa
0.939306
kappa
0.698276
kappa
0.813609
kappa
0.817919
kappa
0.749254
kappa
0.876833
kappa
0.761364
kappa
0.935275
kappa
0.934641
kappa
0.598662
kappa
0.546926
kappa
0.934641
kappa
0.735974
kappa
0.869281
kappa
0.871795
kappa
0.674267
kappa
0.742765
kappa
0.59322
kappa
0.736842
kappa
0.934211
kappa
0.665552
kappa
0.87013
kappa
0.734219
kappa
0.805195
kappa
0.744409
kappa
0.869281
kappa
0.549839
kappa
0.806452
kappa
0.555556
kappa
1
kappa
0.602649
kappa
0.673203
kappa
0.80456
kappa
0.536424
kappa
0.807692
kappa
0.598662
kappa
0.738562
kappa
0.805195
kappa
0.797297
kappa
0.668874
kappa
0.801325
kappa
0.87055
kappa
0.810127
kappa
0.726962
kappa
0.746835
kappa
0.738562
kappa
0.870968
kappa
0.605263
kappa
0.805195
kappa
0.869281
kappa
0.80198
kappa
0.676375
kappa
0.735099
kappa
0.8
kappa
0.746032
kappa
0.934853
kappa
0.866667
kb_relative_information_score
17.880581
kb_relative_information_score
18.639375
kb_relative_information_score
13.340339
kb_relative_information_score
17.56548
kb_relative_information_score
16.225514
kb_relative_information_score
17.541948
kb_relative_information_score
15.130867
kb_relative_information_score
14.341169
kb_relative_information_score
17.879916
kb_relative_information_score
13.232688
kb_relative_information_score
15.471241
kb_relative_information_score
15.46796
kb_relative_information_score
15.377445
kb_relative_information_score
16.912887
kb_relative_information_score
13.479512
kb_relative_information_score
14.793449
kb_relative_information_score
13.29953
kb_relative_information_score
17.517954
kb_relative_information_score
15.637974
kb_relative_information_score
15.350844
kb_relative_information_score
17.049344
kb_relative_information_score
17.58975
kb_relative_information_score
19.10044
kb_relative_information_score
17.823979
kb_relative_information_score
16.306244
kb_relative_information_score
15.769205
kb_relative_information_score
17.185365
kb_relative_information_score
17.450494
kb_relative_information_score
21.464035
kb_relative_information_score
17.637223
kb_relative_information_score
16.283482
kb_relative_information_score
14.162687
kb_relative_information_score
18.047657
kb_relative_information_score
18.883468
kb_relative_information_score
15.654262
kb_relative_information_score
15.428149
kb_relative_information_score
17.264505
kb_relative_information_score
15.095993
kb_relative_information_score
13.191796
kb_relative_information_score
19.894925
kb_relative_information_score
15.362345
kb_relative_information_score
17.474587
kb_relative_information_score
17.291197
kb_relative_information_score
20.063179
kb_relative_information_score
14.902085
kb_relative_information_score
17.693757
kb_relative_information_score
18.399677
kb_relative_information_score
17.34423
kb_relative_information_score
16.80293
kb_relative_information_score
16.777821
kb_relative_information_score
17.368249
kb_relative_information_score
17.681071
kb_relative_information_score
13.044164
kb_relative_information_score
11.213986
kb_relative_information_score
17.673916
kb_relative_information_score
15.353965
kb_relative_information_score
16.518845
kb_relative_information_score
16.737475
kb_relative_information_score
12.446109
kb_relative_information_score
14.890002
kb_relative_information_score
13.060815
kb_relative_information_score
15.293527
kb_relative_information_score
17.09803
kb_relative_information_score
13.171925
kb_relative_information_score
16.457257
kb_relative_information_score
14.276841
kb_relative_information_score
14.838812
kb_relative_information_score
14.45333
kb_relative_information_score
15.832463
kb_relative_information_score
12.941342
kb_relative_information_score
15.856509
kb_relative_information_score
11.851354
kb_relative_information_score
18.887376
kb_relative_information_score
11.709925
kb_relative_information_score
13.950321
kb_relative_information_score
15.241571
kb_relative_information_score
11.345763
kb_relative_information_score
15.956393
kb_relative_information_score
12.537102
kb_relative_information_score
13.636148
kb_relative_information_score
16.127023
kb_relative_information_score
15.223439
kb_relative_information_score
13.531715
kb_relative_information_score
15.193357
kb_relative_information_score
16.641996
kb_relative_information_score
16.096147
kb_relative_information_score
14.551303
kb_relative_information_score
15.76284
kb_relative_information_score
15.094176
kb_relative_information_score
15.986154
kb_relative_information_score
12.741196
kb_relative_information_score
15.354193
kb_relative_information_score
16.613427
kb_relative_information_score
15.041297
kb_relative_information_score
13.562573
kb_relative_information_score
14.40229
kb_relative_information_score
15.841625
kb_relative_information_score
15.936288
kb_relative_information_score
16.908401
kb_relative_information_score
16.011804
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0.031928
mean_absolute_error
0.038896
mean_absolute_error
0.088645
mean_absolute_error
0.039258
mean_absolute_error
0.043774
mean_absolute_error
0.036492
mean_absolute_error
0.059332
mean_absolute_error
0.071344
mean_absolute_error
0.028202
mean_absolute_error
0.080496
mean_absolute_error
0.051321
mean_absolute_error
0.087181
mean_absolute_error
0.062509
mean_absolute_error
0.046311
mean_absolute_error
0.088724
mean_absolute_error
0.065425
mean_absolute_error
0.085819
mean_absolute_error
0.032495
mean_absolute_error
0.060623
mean_absolute_error
0.052065
mean_absolute_error
0.052366
mean_absolute_error
0.054879
mean_absolute_error
0.037992
mean_absolute_error
0.044757
mean_absolute_error
0.06561
mean_absolute_error
0.072283
mean_absolute_error
0.064023
mean_absolute_error
0.049459
mean_absolute_error
0.0046
mean_absolute_error
0.052361
mean_absolute_error
0.068309
mean_absolute_error
0.081774
mean_absolute_error
0.047533
mean_absolute_error
0.033116
mean_absolute_error
0.070121
mean_absolute_error
0.083605
mean_absolute_error
0.063794
mean_absolute_error
0.086332
mean_absolute_error
0.107045
mean_absolute_error
0.018267
mean_absolute_error
0.075485
mean_absolute_error
0.04143
mean_absolute_error
0.057651
mean_absolute_error
0.023899
mean_absolute_error
0.085552
mean_absolute_error
0.049621
mean_absolute_error
0.044552
mean_absolute_error
0.057023
mean_absolute_error
0.058523
mean_absolute_error
0.069565
mean_absolute_error
0.029318
mean_absolute_error
0.02458
mean_absolute_error
0.078503
mean_absolute_error
0.11165
mean_absolute_error
0.022747
mean_absolute_error
0.05172
mean_absolute_error
0.040753
mean_absolute_error
0.038874
mean_absolute_error
0.082984
mean_absolute_error
0.065565
mean_absolute_error
0.080242
mean_absolute_error
0.0498
mean_absolute_error
0.031671
mean_absolute_error
0.073754
mean_absolute_error
0.043499
mean_absolute_error
0.058302
mean_absolute_error
0.062576
mean_absolute_error
0.065736
mean_absolute_error
0.046679
mean_absolute_error
0.095781
mean_absolute_error
0.047301
mean_absolute_error
0.093635
mean_absolute_error
0.012376
mean_absolute_error
0.096257
mean_absolute_error
0.078449
mean_absolute_error
0.053886
mean_absolute_error
0.097437
mean_absolute_error
0.04735
mean_absolute_error
0.087602
mean_absolute_error
0.076486
mean_absolute_error
0.049288
mean_absolute_error
0.051531
mean_absolute_error
0.073287
mean_absolute_error
0.050883
mean_absolute_error
0.034269
mean_absolute_error
0.054539
mean_absolute_error
0.053523
mean_absolute_error
0.056925
mean_absolute_error
0.06461
mean_absolute_error
0.048577
mean_absolute_error
0.087104
mean_absolute_error
0.051209
mean_absolute_error
0.035778
mean_absolute_error
0.053733
mean_absolute_error
0.075575
mean_absolute_error
0.060574
mean_absolute_error
0.041835
mean_absolute_error
0.052816
mean_absolute_error
0.037983
mean_absolute_error
0.04247
mean_prior_absolute_error
0.221345
mean_prior_absolute_error
0.220832
mean_prior_absolute_error
0.219291
mean_prior_absolute_error
0.221345
mean_prior_absolute_error
0.218971
mean_prior_absolute_error
0.219291
mean_prior_absolute_error
0.219612
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.219291
mean_prior_absolute_error
0.219291
mean_prior_absolute_error
0.223399
mean_prior_absolute_error
0.219291
mean_prior_absolute_error
0.221345
mean_prior_absolute_error
0.221024
mean_prior_absolute_error
0.219291
mean_prior_absolute_error
0.221859
mean_prior_absolute_error
0.220703
mean_prior_absolute_error
0.221538
mean_prior_absolute_error
0.219291
mean_prior_absolute_error
0.220832
mean_prior_absolute_error
0.223399
mean_prior_absolute_error
0.222564
mean_prior_absolute_error
0.222564
mean_prior_absolute_error
0.222885
mean_prior_absolute_error
0.220832
mean_prior_absolute_error
0.223078
mean_prior_absolute_error
0.222564
mean_prior_absolute_error
0.223399
mean_prior_absolute_error
0.220832
mean_prior_absolute_error
0.220832
mean_prior_absolute_error
0.221538
mean_prior_absolute_error
0.222564
mean_prior_absolute_error
0.222564
mean_prior_absolute_error
0.222564
mean_prior_absolute_error
0.222885
mean_prior_absolute_error
0.223399
mean_prior_absolute_error
0.222564
mean_prior_absolute_error
0.223399
mean_prior_absolute_error
0.220832
mean_prior_absolute_error
0.220832
mean_prior_absolute_error
0.220703
mean_prior_absolute_error
0.222885
mean_prior_absolute_error
0.223399
mean_prior_absolute_error
0.222564
mean_prior_absolute_error
0.222885
mean_prior_absolute_error
0.222564
mean_prior_absolute_error
0.222564
mean_prior_absolute_error
0.222564
mean_prior_absolute_error
0.222244
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.220013
mean_prior_absolute_error
0.220553
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
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mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.222035
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
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mean_prior_absolute_error
0.21934
mean_prior_absolute_error
0.220553
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0.219677
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0.219677
mean_prior_absolute_error
0.219677
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0.219677
mean_prior_absolute_error
0.222709
mean_prior_absolute_error
0.222035
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.222035
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0.217857
mean_prior_absolute_error
0.220553
mean_prior_absolute_error
0.222035
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.220553
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.222709
mean_prior_absolute_error
0.222035
mean_prior_absolute_error
0.220013
mean_prior_absolute_error
0.220553
mean_prior_absolute_error
0.21934
mean_prior_absolute_error
0.220553
mean_prior_absolute_error
0.222035
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.220889
mean_prior_absolute_error
0.220013
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.222709
mean_prior_absolute_error
0.220013
mean_prior_absolute_error
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mean_prior_absolute_error
0.21934
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mean_prior_absolute_error
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mean_prior_absolute_error
0.220889
mean_prior_absolute_error
0.220013
mean_prior_absolute_error
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number_of_instances
21 [0,0,3,7,5,3,3]
number_of_instances
21 [0,1,2,7,6,3,2]
number_of_instances
21 [0,0,2,7,6,3,3]
number_of_instances
21 [0,0,3,7,5,3,3]
number_of_instances
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number_of_instances
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number_of_instances
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21 [0,0,2,7,5,4,3]
number_of_instances
21 [0,1,3,7,5,3,2]
number_of_instances
21 [0,1,2,6,6,3,3]
number_of_instances
21 [0,1,2,7,5,3,3]
number_of_instances
21 [0,1,3,7,5,3,2]
number_of_instances
21 [0,1,2,7,5,3,3]
number_of_instances
21 [0,1,2,7,5,3,3]
number_of_instances
21 [0,1,2,7,5,3,3]
number_of_instances
21 [0,1,2,7,5,4,2]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,3,7,5,3,2]
number_of_instances
20 [0,0,2,6,6,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,6,5,4,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,7,5,4,2]
number_of_instances
20 [0,0,2,6,6,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,3,6,5,3,3]
number_of_instances
20 [0,0,2,6,5,4,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,6,5,4,3]
number_of_instances
20 [0,0,2,7,6,3,2]
number_of_instances
20 [0,0,2,6,6,3,3]
number_of_instances
20 [0,0,2,6,5,4,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,6,6,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,3,6,5,3,3]
number_of_instances
20 [0,0,2,6,5,4,3]
number_of_instances
20 [0,0,3,7,5,3,2]
number_of_instances
20 [0,0,2,6,6,3,3]
number_of_instances
20 [0,0,2,7,5,4,2]
number_of_instances
20 [0,0,2,6,6,3,3]
number_of_instances
20 [0,0,2,6,5,4,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,3,6,6,3,2]
number_of_instances
20 [0,0,3,7,5,3,2]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,3,6,5,3,3]
number_of_instances
20 [0,0,3,7,5,3,2]
number_of_instances
20 [0,0,2,6,6,3,3]
number_of_instances
20 [0,0,2,7,5,4,2]
number_of_instances
20 [0,0,2,6,6,3,3]
number_of_instances
20 [0,0,2,6,6,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,3,6,6,3,2]
number_of_instances
20 [0,0,3,7,5,3,2]
number_of_instances
20 [0,0,2,7,5,3,3]
precision
0.922619 [0,0,1,0.875,1,1,0.75]
precision
0.916667 [0,1,1,0.857143,1,0.75,1]
precision
0.734127 [0,0,0.333333,0.857143,0.75,0.75,0.666667]
precision
0.910714 [0,0,1,0.875,0.8,1,1]
precision
0.9 [0,0,1,0.7,1,1,1]
precision
0.923469 [0,0,1,1,0.857143,0.75,1]
precision
0.759259 [0,0,1,0.777778,0.75,0.666667,0.5]
precision
0.759637 [0,0,1,0.857143,0.714286,0.666667,0.5]
precision
0.911565 [0,0,1,0.857143,0.857143,1,1]
precision
0.653175 [0,0,1,0.666667,0.8,0,0.75]
precision
0.815476 [0,0,1,0.875,0.833333,0.666667,0.666667]
precision
0.838095 [0,1,1,0.833333,0.8,1,0.6]
precision
0.895238 [0,0,1,1,0.833333,0.6,1]
precision
0.907143 [0,0,0.6,1,1,0.75,1]
precision
0.747166 [0,0,1,0.833333,0.571429,0.666667,0.666667]
precision
0.761905 [0,0,1,1,0.666667,0,1]
precision
0.727891 [0,0,0.666667,0.833333,0.714286,1,0]
precision
0.910714 [0,0,1,0.875,0.8,1,1]
precision
0.803288 [0,0,0.666667,0.714286,1,0.75,0.75]
precision
0.844293 [0,0,1,0.777778,0.714286,1,1]
precision
0.837302 [0,1,1,0.75,1,0.666667,0.666667]
precision
0.869048 [0,1,1,1,0.833333,0.75,0.666667]
precision
0.928571 [0,1,0.666667,1,0.833333,1,1]
precision
0.875 [0,1,1,0.875,0.8,1,0.75]
precision
0.831746 [0,1,0.5,1,0.833333,0.6,1]
precision
0.831746 [0,1,1,0.857143,1,0.6,0.333333]
precision
0.821429 [0,1,1,0.75,0.625,1,1]
precision
0.878968 [0,1,1,0.875,0.666667,1,1]
precision
1 [0,1,1,1,1,1,1]
precision
0.888889 [0,1,0.666667,1,0.833333,1,0.666667]
precision
0.880952 [0,1,0.5,1,0.75,1,1]
precision
0.714286 [0,0,1,0.833333,0.6,0.6,0.666667]
precision
0.866402 [0,1,1,0.777778,0.75,1,1]
precision
0.916667 [0,1,1,1,1,0.75,0.666667]
precision
0.814626 [0,1,1,0.75,0.571429,1,1]
precision
0.742063 [0,1,0.666667,0.833333,0.75,0.666667,0.5]
precision
0.880952 [0,1,0.5,1,1,0.75,0.75]
precision
0.738095 [0,0.5,1,0.714286,0.75,0.75,0.666667]
precision
0.62619 [0,0,0.5,0.625,0.6,1,0.6]
precision
0.958333 [0,1,1,0.875,1,1,1]
precision
0.77619 [0,1,1,0.857143,0.75,0.6,0.5]
precision
0.920635 [0,0,0.666667,0.857143,1,1,1]
precision
0.849206 [0,1,1,0.857143,1,0.5,0.666667]
precision
0.959184 [0,1,1,0.857143,1,1,1]
precision
0.785714 [0,1,1,1,0.8,0.5,0.333333]
precision
0.866402 [0,1,1,0.777778,0.75,1,1]
precision
0.857143 [0,1,0.5,0.833333,0.833333,1,1]
precision
0.84127 [0,1,1,0.666667,0.8,1,1]
precision
0.880952 [0,0,0.666667,1,0.833333,1,1]
precision
0.850794 [0,1,0.666667,1,0.666667,0.8,1]
precision
0.966667 [0,0,0.666667,1,1,1,1]
precision
0.958333 [0,0,1,1,0.833333,1,1]
precision
0.776667 [0,0,1,0.6,1,0.666667,0.666667]
precision
0.7125 [0,0,0.5,0.5,1,0.666667,0.75]
precision
0.9625 [0,0,1,1,1,1,0.75]
precision
0.832738 [0,0,1,0.833333,0.714286,0.75,1]
precision
0.9125 [0,0,1,0.857143,1,0.75,1]
precision
0.94 [0,0,1,1,1,0.6,1]
precision
0.758333 [0,0,0.666667,1,0.666667,0.666667,0.5]
precision
0.855357 [0,0,1,1,0.571429,1,0.75]
precision
0.745833 [0,0,1,0.666667,0.6,1,0.75]
precision
0.8 [0,0,1,1,0.8,0.5,0.5]
precision
0.958333 [0,0,1,1,0.833333,1,1]
precision
0.791071 [0,0,1,0.714286,0.714286,1,0.75]
precision
0.928571 [0,0,1,1,0.714286,1,1]
precision
0.845238 [0,0,0.666667,0.857143,0.714286,1,1]
precision
0.8625 [0,0,1,1,0.8,0.666667,0.75]
precision
0.856667 [0,0,0.666667,1,0.8,1,0.6]
precision
0.920833 [0,0,1,1,0.833333,0.75,1]
precision
0.701786 [0,0,0.75,0.714286,0.75,0.25,1]
precision
0.883333 [0,0,1,1,0.8,0.666667,1]
precision
0.725833 [0,0,0.333333,0.8,0.75,0.5,1]
precision
1 [0,0,1,1,1,1,1]
precision
0.754286 [0,0,1,0.8,0.714286,0.4,1]
precision
0.7625 [0,0,1,0.625,0.75,0.666667,1]
precision
0.869643 [0,0,1,0.857143,0.8,1,0.75]
precision
0.65 [0,0,0.5,0.857143,0.5,0.5,0.666667]
precision
0.882143 [0,0,1,0.857143,1,0.75,0.75]
precision
0.7525 [0,0,1,0.75,0.6,0.6,1]
precision
0.825 [0,0,1,0.75,0.8,0.666667,1]
precision
0.864286 [0,0,1,0.714286,0.8,1,1]
precision
0.872222 [0,0,1,0.777778,0.8,1,1]
precision
0.783929 [0,0,1,0.833333,0.571429,0.75,1]
precision
0.866667 [0,0,1,0.857143,0.8,1,0.666667]
precision
0.9125 [0,0,1,1,1,0.666667,0.75]
precision
0.895238 [0,0,0.666667,1,0.714286,1,1]
precision
0.830556 [0,0,1,0.777778,0.833333,0.666667,1]
precision
0.831667 [0,0,1,1,0.75,0.6,0.666667]
precision
0.820833 [0,0,0.75,0.833333,0.666667,1,1]
precision
0.925 [0,0,1,1,1,0.75,0.75]
precision
0.766667 [0,0,1,0.5,0.666667,1,1]
precision
0.89 [0,0,1,1,0.8,0.6,1]
precision
0.9125 [0,0,1,1,0.833333,1,0.75]
precision
0.883333 [0,0,1,1,0.8,0.666667,1]
precision
0.751786 [0,0,0.5,0.714286,0.75,1,0.75]
precision
0.826786 [0,0,1,0.714286,0.833333,1,0.75]
precision
0.884722 [0,0,1,0.777778,1,1,0.75]
precision
0.8275 [0,0,0.75,0.75,1,0.6,1]
precision
0.966667 [0,0,1,1,1,1,0.666667]
precision
0.90625 [0,0,1,0.875,0.8,1,1]
predictive_accuracy
0.904762
predictive_accuracy
0.904762
predictive_accuracy
0.714286
predictive_accuracy
0.904762
predictive_accuracy
0.857143
predictive_accuracy
0.904762
predictive_accuracy
0.761905
predictive_accuracy
0.761905
predictive_accuracy
0.904762
predictive_accuracy
0.714286
predictive_accuracy
0.809524
predictive_accuracy
0.809524
predictive_accuracy
0.857143
predictive_accuracy
0.857143
predictive_accuracy
0.714286
predictive_accuracy
0.857143
predictive_accuracy
0.761905
predictive_accuracy
0.904762
predictive_accuracy
0.761905
predictive_accuracy
0.809524
predictive_accuracy
0.809524
predictive_accuracy
0.857143
predictive_accuracy
0.904762
predictive_accuracy
0.857143
predictive_accuracy
0.761905
predictive_accuracy
0.761905
predictive_accuracy
0.809524
predictive_accuracy
0.857143
predictive_accuracy
1
predictive_accuracy
0.857143
predictive_accuracy
0.809524
predictive_accuracy
0.714286
predictive_accuracy
0.857143
predictive_accuracy
0.904762
predictive_accuracy
0.761905
predictive_accuracy
0.714286
predictive_accuracy
0.809524
predictive_accuracy
0.714286
predictive_accuracy
0.619048
predictive_accuracy
0.952381
predictive_accuracy
0.761905
predictive_accuracy
0.904762
predictive_accuracy
0.809524
predictive_accuracy
0.952381
predictive_accuracy
0.761905
predictive_accuracy
0.857143
predictive_accuracy
0.857143
predictive_accuracy
0.809524
predictive_accuracy
0.904762
predictive_accuracy
0.809524
predictive_accuracy
0.95
predictive_accuracy
0.95
predictive_accuracy
0.7
predictive_accuracy
0.65
predictive_accuracy
0.95
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.75
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.95
predictive_accuracy
0.75
predictive_accuracy
0.9
predictive_accuracy
0.8
predictive_accuracy
0.85
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
0.65
predictive_accuracy
0.85
predictive_accuracy
0.65
predictive_accuracy
1
predictive_accuracy
0.7
predictive_accuracy
0.75
predictive_accuracy
0.85
predictive_accuracy
0.65
predictive_accuracy
0.85
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.85
predictive_accuracy
0.85
predictive_accuracy
0.75
predictive_accuracy
0.85
predictive_accuracy
0.9
predictive_accuracy
0.85
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
0.7
predictive_accuracy
0.85
predictive_accuracy
0.9
predictive_accuracy
0.85
predictive_accuracy
0.75
predictive_accuracy
0.8
predictive_accuracy
0.85
predictive_accuracy
0.8
predictive_accuracy
0.95
predictive_accuracy
0.9
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
prior_entropy
2.326811
recall
0.904762 [0,0,0.666667,1,0.8,1,1]
recall
0.904762 [0,1,1,0.857143,0.833333,1,1]
recall
0.714286 [0,0,0.5,0.857143,0.5,1,0.666667]
recall
0.904762 [0,0,1,1,0.8,0.666667,1]
recall
0.857143 [0,0,0.5,1,0.833333,0.75,1]
recall
0.904762 [0,0,1,0.714286,1,1,1]
recall
0.761905 [0,0,1,1,0.5,0.666667,0.5]
recall
0.761905 [0,0,1,0.857143,0.833333,0.5,0.5]
recall
0.904762 [0,0,0.5,0.857143,1,1,1]
recall
0.714286 [0,0,1,0.857143,0.666667,0,1]
recall
0.809524 [0,0,0.5,1,0.833333,0.666667,0.666667]
recall
0.809524 [0,1,1,0.833333,0.666667,0.666667,1]
recall
0.857143 [0,0,1,0.857143,0.833333,1,0.666667]
recall
0.857143 [0,0,1,0.857143,0.8,1,0.666667]
recall
0.714286 [0,0,0.666667,0.714286,0.8,0.5,1]
recall
0.857143 [0,0,1,1,1,0,1]
recall
0.761905 [0,0,0.666667,0.833333,0.833333,1,0]
recall
0.904762 [0,0,0.5,1,0.8,1,1]
recall
0.761905 [0,0,1,0.833333,0.5,0.75,1]
recall
0.809524 [0,0,0.5,1,0.833333,0.333333,1]
recall
0.809524 [0,1,1,0.857143,0.666667,0.666667,1]
recall
0.857143 [0,1,1,0.833333,0.833333,1,0.666667]
recall
0.904762 [0,1,1,0.714286,1,1,1]
recall
0.857143 [0,1,1,1,0.8,0.333333,1]
recall
0.761905 [0,1,0.666667,0.571429,1,1,0.5]
recall
0.761905 [0,1,1,0.857143,0.5,1,0.5]
recall
0.809524 [0,1,1,0.5,0.833333,1,1]
recall
0.857143 [0,1,1,1,0.8,0.666667,0.666667]
recall
1 [0,1,1,1,1,1,1]
recall
0.857143 [0,1,1,0.714286,0.833333,1,1]
recall
0.809524 [0,1,1,0.714286,1,0.666667,0.5]
recall
0.714286 [0,0,1,0.833333,0.5,0.75,0.666667]
recall
0.857143 [0,1,1,1,0.6,0.666667,1]
recall
0.904762 [0,1,1,1,0.8,1,0.666667]
recall
0.761905 [0,1,1,0.857143,0.8,0.333333,0.666667]
recall
0.714286 [0,1,0.666667,0.714286,0.6,0.666667,1]
recall
0.809524 [0,1,1,0.833333,0.5,1,1]
recall
0.714286 [0,1,0.5,0.714286,0.6,1,0.666667]
recall
0.619048 [0,0,0.5,0.833333,0.5,0.333333,1]
recall
0.952381 [0,1,1,1,0.833333,1,1]
recall
0.761905 [0,1,1,0.857143,0.5,1,0.5]
recall
0.904762 [0,0,1,0.857143,0.8,1,1]
recall
0.809524 [0,1,1,0.857143,0.6,0.666667,1]
recall
0.952381 [0,1,1,1,0.833333,1,1]
recall
0.761905 [0,1,1,0.857143,0.8,0.666667,0.333333]
recall
0.857143 [0,1,0.666667,1,0.6,1,1]
recall
0.857143 [0,1,0.5,0.714286,1,1,1]
recall
0.809524 [0,1,0.5,0.857143,0.8,0.666667,1]
recall
0.904762 [0,0,1,1,1,0.666667,1]
recall
0.809524 [0,1,1,0.571429,0.8,1,1]
recall
0.95 [0,0,1,0.857143,1,1,1]
recall
0.95 [0,0,1,0.857143,1,1,1]
recall
0.7 [0,0,0.666667,0.857143,0.4,0.666667,1]
recall
0.65 [0,0,0.5,0.666667,0.5,0.666667,1]
recall
0.95 [0,0,1,1,0.8,1,1]
recall
0.8 [0,0,0.5,0.714286,1,1,0.666667]
recall
0.9 [0,0,1,0.857143,0.8,1,1]
recall
0.9 [0,0,1,0.714286,1,1,1]
recall
0.75 [0,0,1,0.857143,0.8,0.666667,0.333333]
recall
0.8 [0,0,0.5,0.666667,0.8,1,1]
recall
0.7 [0,0,0.5,0.857143,0.6,0.333333,1]
recall
0.8 [0,0,1,1,0.8,0.333333,0.666667]
recall
0.95 [0,0,1,0.857143,1,1,1]
recall
0.75 [0,0,0.5,0.833333,0.833333,0.333333,1]
recall
0.9 [0,0,1,0.714286,1,1,1]
recall
0.8 [0,0,1,0.857143,1,0.333333,0.666667]
recall
0.85 [0,0,1,0.857143,0.8,0.666667,1]
recall
0.8 [0,0,1,0.714286,0.8,0.666667,1]
recall
0.9 [0,0,1,0.857143,1,1,0.666667]
recall
0.65 [0,0,1,0.833333,0.6,0.333333,0.333333]
recall
0.85 [0,0,0.5,0.833333,0.8,1,1]
recall
0.65 [0,0,0.5,0.571429,0.6,1,0.666667]
recall
1 [0,0,1,1,1,1,1]
recall
0.7 [0,0,1,0.571429,0.833333,0.666667,0.5]
recall
0.75 [0,0,1,0.833333,0.5,0.666667,1]
recall
0.85 [0,0,0.5,1,0.8,0.75,1]
recall
0.65 [0,0,0.5,0.857143,0.6,0.333333,0.666667]
recall
0.85 [0,0,1,1,0.5,1,1]
recall
0.7 [0,0,0.5,0.857143,0.6,1,0.333333]
recall
0.8 [0,0,0.666667,1,0.8,0.666667,0.666667]
recall
0.85 [0,0,1,0.833333,0.8,0.75,1]
recall
0.85 [0,0,1,1,0.8,0.333333,1]
recall
0.75 [0,0,0.5,0.833333,0.666667,1,0.666667]
recall
0.85 [0,0,0.5,0.857143,0.8,1,1]
recall
0.9 [0,0,1,1,0.833333,0.666667,1]
recall
0.85 [0,0,1,0.5,1,1,1]
recall
0.8 [0,0,0.5,1,1,0.666667,0.333333]
recall
0.8 [0,0,1,0.833333,0.5,1,1]
recall
0.8 [0,0,1,0.714286,0.8,0.666667,1]
recall
0.9 [0,0,1,0.857143,0.8,1,1]
recall
0.7 [0,0,0.333333,0.666667,0.8,0.666667,1]
recall
0.85 [0,0,0.666667,0.857143,0.8,1,1]
recall
0.9 [0,0,1,1,0.833333,0.666667,1]
recall
0.85 [0,0,0.5,0.857143,0.8,1,1]
recall
0.75 [0,0,0.5,0.833333,0.5,1,1]
recall
0.8 [0,0,0.5,0.833333,0.833333,0.666667,1]
recall
0.85 [0,0,1,1,0.6,0.666667,1]
recall
0.8 [0,0,1,0.5,0.833333,1,1]
recall
0.95 [0,0,1,1,0.8,1,1]
recall
0.9 [0,0,1,1,0.8,1,0.666667]
relative_absolute_error
0.144247
relative_absolute_error
0.176135
relative_absolute_error
0.404232
relative_absolute_error
0.177361
relative_absolute_error
0.199907
relative_absolute_error
0.166406
relative_absolute_error
0.270166
relative_absolute_error
0.325816
relative_absolute_error
0.128793
relative_absolute_error
0.367073
relative_absolute_error
0.234029
relative_absolute_error
0.390248
relative_absolute_error
0.285049
relative_absolute_error
0.209225
relative_absolute_error
0.401421
relative_absolute_error
0.298348
relative_absolute_error
0.38682
relative_absolute_error
0.147236
relative_absolute_error
0.273646
relative_absolute_error
0.237426
relative_absolute_error
0.237131
relative_absolute_error
0.245653
relative_absolute_error
0.1707
relative_absolute_error
0.201098
relative_absolute_error
0.294367
relative_absolute_error
0.327324
relative_absolute_error
0.286999
relative_absolute_error
0.222222
relative_absolute_error
0.020591
relative_absolute_error
0.237106
relative_absolute_error
0.309328
relative_absolute_error
0.369121
relative_absolute_error
0.213568
relative_absolute_error
0.148794
relative_absolute_error
0.31506
relative_absolute_error
0.375104
relative_absolute_error
0.28556
relative_absolute_error
0.387896
relative_absolute_error
0.479164
relative_absolute_error
0.082717
relative_absolute_error
0.341821
relative_absolute_error
0.187718
relative_absolute_error
0.258656
relative_absolute_error
0.10698
relative_absolute_error
0.384393
relative_absolute_error
0.222632
relative_absolute_error
0.200175
relative_absolute_error
0.256208
relative_absolute_error
0.262951
relative_absolute_error
0.313012
relative_absolute_error
0.13346
relative_absolute_error
0.111894
relative_absolute_error
0.356812
relative_absolute_error
0.506229
relative_absolute_error
0.103548
relative_absolute_error
0.235437
relative_absolute_error
0.185515
relative_absolute_error
0.176959
relative_absolute_error
0.377755
relative_absolute_error
0.29529
relative_absolute_error
0.365272
relative_absolute_error
0.226697
relative_absolute_error
0.144395
relative_absolute_error
0.334405
relative_absolute_error
0.198012
relative_absolute_error
0.265398
relative_absolute_error
0.284855
relative_absolute_error
0.299238
relative_absolute_error
0.212488
relative_absolute_error
0.430074
relative_absolute_error
0.213032
relative_absolute_error
0.426242
relative_absolute_error
0.055741
relative_absolute_error
0.441836
relative_absolute_error
0.355691
relative_absolute_error
0.24269
relative_absolute_error
0.443547
relative_absolute_error
0.214687
relative_absolute_error
0.398778
relative_absolute_error
0.343437
relative_absolute_error
0.221983
relative_absolute_error
0.234216
relative_absolute_error
0.332287
relative_absolute_error
0.231983
relative_absolute_error
0.155377
relative_absolute_error
0.24563
relative_absolute_error
0.243643
relative_absolute_error
0.257707
relative_absolute_error
0.293665
relative_absolute_error
0.221128
relative_absolute_error
0.391112
relative_absolute_error
0.232755
relative_absolute_error
0.16222
relative_absolute_error
0.244974
relative_absolute_error
0.342662
relative_absolute_error
0.274645
relative_absolute_error
0.190437
relative_absolute_error
0.239106
relative_absolute_error
0.172637
relative_absolute_error
0.193329
root_mean_prior_squared_error
0.3324
root_mean_prior_squared_error
0.331627
root_mean_prior_squared_error
0.329296
root_mean_prior_squared_error
0.3324
root_mean_prior_squared_error
0.328809
root_mean_prior_squared_error
0.329296
root_mean_prior_squared_error
0.329783
root_mean_prior_squared_error
0.328809
root_mean_prior_squared_error
0.328809
root_mean_prior_squared_error
0.329296
root_mean_prior_squared_error
0.329296
root_mean_prior_squared_error
0.335475
root_mean_prior_squared_error
0.329296
root_mean_prior_squared_error
0.3324
root_mean_prior_squared_error
0.331917
root_mean_prior_squared_error
0.329296
root_mean_prior_squared_error
0.333171
root_mean_prior_squared_error
0.331433
root_mean_prior_squared_error
0.332689
root_mean_prior_squared_error
0.329296
root_mean_prior_squared_error
0.331627
root_mean_prior_squared_error
0.335475
root_mean_prior_squared_error
0.334229
root_mean_prior_squared_error
0.334229
root_mean_prior_squared_error
0.334709
root_mean_prior_squared_error
0.331627
root_mean_prior_squared_error
0.334996
root_mean_prior_squared_error
0.334229
root_mean_prior_squared_error
0.335475
root_mean_prior_squared_error
0.331627
root_mean_prior_squared_error
0.331627
root_mean_prior_squared_error
0.332689
root_mean_prior_squared_error
0.334229
root_mean_prior_squared_error
0.334229
root_mean_prior_squared_error
0.334229
root_mean_prior_squared_error
0.334709
root_mean_prior_squared_error
0.335475
root_mean_prior_squared_error
0.334229
root_mean_prior_squared_error
0.335475
root_mean_prior_squared_error
0.331627
root_mean_prior_squared_error
0.331627
root_mean_prior_squared_error
0.331433
root_mean_prior_squared_error
0.334709
root_mean_prior_squared_error
0.335475
root_mean_prior_squared_error
0.334229
root_mean_prior_squared_error
0.334709
root_mean_prior_squared_error
0.334229
root_mean_prior_squared_error
0.334229
root_mean_prior_squared_error
0.334229
root_mean_prior_squared_error
0.333749
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.330391
root_mean_prior_squared_error
0.331206
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.333436
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.329369
root_mean_prior_squared_error
0.331206
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.334445
root_mean_prior_squared_error
0.333436
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.333436
root_mean_prior_squared_error
0.327111
root_mean_prior_squared_error
0.331206
root_mean_prior_squared_error
0.333436
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.331206
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.334445
root_mean_prior_squared_error
0.333436
root_mean_prior_squared_error
0.330391
root_mean_prior_squared_error
0.331206
root_mean_prior_squared_error
0.329369
root_mean_prior_squared_error
0.331206
root_mean_prior_squared_error
0.333436
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.331714
root_mean_prior_squared_error
0.330391
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.334445
root_mean_prior_squared_error
0.330391
root_mean_prior_squared_error
0.331206
root_mean_prior_squared_error
0.329369
root_mean_prior_squared_error
0.331206
root_mean_prior_squared_error
0.331206
root_mean_prior_squared_error
0.32988
root_mean_prior_squared_error
0.331714
root_mean_prior_squared_error
0.330391
root_mean_prior_squared_error
0.32988
root_mean_squared_error
0.155915
root_mean_squared_error
0.137243
root_mean_squared_error
0.25606
root_mean_squared_error
0.157493
root_mean_squared_error
0.184569
root_mean_squared_error
0.138368
root_mean_squared_error
0.211955
root_mean_squared_error
0.227619
root_mean_squared_error
0.14348
root_mean_squared_error
0.266261
root_mean_squared_error
0.202471
root_mean_squared_error
0.233733
root_mean_squared_error
0.20788
root_mean_squared_error
0.185638
root_mean_squared_error
0.261568
root_mean_squared_error
0.220249
root_mean_squared_error
0.256024
root_mean_squared_error
0.165212
root_mean_squared_error
0.215596
root_mean_squared_error
0.216152
root_mean_squared_error
0.191288
root_mean_squared_error
0.206833
root_mean_squared_error
0.153403
root_mean_squared_error
0.18291
root_mean_squared_error
0.236538
root_mean_squared_error
0.219778
root_mean_squared_error
0.234089
root_mean_squared_error
0.191506
root_mean_squared_error
0.025478
root_mean_squared_error
0.199119
root_mean_squared_error
0.213474
root_mean_squared_error
0.260482
root_mean_squared_error
0.186413
root_mean_squared_error
0.163822
root_mean_squared_error
0.24265
root_mean_squared_error
0.260716
root_mean_squared_error
0.21247
root_mean_squared_error
0.242822
root_mean_squared_error
0.303684
root_mean_squared_error
0.098107
root_mean_squared_error
0.244037
root_mean_squared_error
0.178725
root_mean_squared_error
0.220019
root_mean_squared_error
0.121883
root_mean_squared_error
0.22417
root_mean_squared_error
0.199798
root_mean_squared_error
0.181357
root_mean_squared_error
0.216966
root_mean_squared_error
0.184776
root_mean_squared_error
0.227291
root_mean_squared_error
0.136493
root_mean_squared_error
0.123349
root_mean_squared_error
0.257381
root_mean_squared_error
0.295638
root_mean_squared_error
0.119526
root_mean_squared_error
0.191233
root_mean_squared_error
0.159815
root_mean_squared_error
0.143281
root_mean_squared_error
0.268478
root_mean_squared_error
0.217097
root_mean_squared_error
0.251329
root_mean_squared_error
0.192252
root_mean_squared_error
0.142682
root_mean_squared_error
0.241836
root_mean_squared_error
0.174148
root_mean_squared_error
0.218944
root_mean_squared_error
0.220306
root_mean_squared_error
0.221494
root_mean_squared_error
0.164779
root_mean_squared_error
0.260771
root_mean_squared_error
0.178137
root_mean_squared_error
0.285401
root_mean_squared_error
0.056779
root_mean_squared_error
0.276108
root_mean_squared_error
0.237102
root_mean_squared_error
0.211658
root_mean_squared_error
0.287679
root_mean_squared_error
0.183913
root_mean_squared_error
0.261369
root_mean_squared_error
0.240089
root_mean_squared_error
0.194128
root_mean_squared_error
0.197343
root_mean_squared_error
0.240034
root_mean_squared_error
0.208695
root_mean_squared_error
0.153097
root_mean_squared_error
0.200365
root_mean_squared_error
0.204242
root_mean_squared_error
0.196161
root_mean_squared_error
0.194993
root_mean_squared_error
0.185643
root_mean_squared_error
0.269114
root_mean_squared_error
0.200552
root_mean_squared_error
0.170772
root_mean_squared_error
0.18056
root_mean_squared_error
0.252131
root_mean_squared_error
0.22619
root_mean_squared_error
0.188765
root_mean_squared_error
0.212664
root_mean_squared_error
0.148155
root_mean_squared_error
0.157842
root_relative_squared_error
0.46906
root_relative_squared_error
0.413847
root_relative_squared_error
0.777597
root_relative_squared_error
0.473804
root_relative_squared_error
0.561325
root_relative_squared_error
0.420192
root_relative_squared_error
0.642711
root_relative_squared_error
0.692252
root_relative_squared_error
0.436364
root_relative_squared_error
0.808575
root_relative_squared_error
0.614861
root_relative_squared_error
0.696722
root_relative_squared_error
0.631285
root_relative_squared_error
0.558479
root_relative_squared_error
0.788054
root_relative_squared_error
0.668848
root_relative_squared_error
0.768447
root_relative_squared_error
0.498478
root_relative_squared_error
0.648039
root_relative_squared_error
0.656405
root_relative_squared_error
0.576818
root_relative_squared_error
0.616537
root_relative_squared_error
0.458976
root_relative_squared_error
0.54726
root_relative_squared_error
0.706697
root_relative_squared_error
0.662726
root_relative_squared_error
0.69878
root_relative_squared_error
0.572979
root_relative_squared_error
0.075947
root_relative_squared_error
0.600432
root_relative_squared_error
0.643718
root_relative_squared_error
0.782957
root_relative_squared_error
0.557741
root_relative_squared_error
0.490149
root_relative_squared_error
0.725999
root_relative_squared_error
0.778935
root_relative_squared_error
0.633341
root_relative_squared_error
0.726513
root_relative_squared_error
0.905238
root_relative_squared_error
0.295835
root_relative_squared_error
0.735879
root_relative_squared_error
0.53925
root_relative_squared_error
0.657344
root_relative_squared_error
0.363316
root_relative_squared_error
0.670706
root_relative_squared_error
0.596931
root_relative_squared_error
0.542613
root_relative_squared_error
0.649152
root_relative_squared_error
0.552841
root_relative_squared_error
0.681023
root_relative_squared_error
0.413766
root_relative_squared_error
0.373922
root_relative_squared_error
0.779019
root_relative_squared_error
0.892611
root_relative_squared_error
0.362333
root_relative_squared_error
0.579704
root_relative_squared_error
0.484462
root_relative_squared_error
0.434343
root_relative_squared_error
0.813863
root_relative_squared_error
0.65109
root_relative_squared_error
0.76188
root_relative_squared_error
0.582794
root_relative_squared_error
0.433196
root_relative_squared_error
0.730169
root_relative_squared_error
0.527914
root_relative_squared_error
0.663707
root_relative_squared_error
0.667836
root_relative_squared_error
0.671437
root_relative_squared_error
0.499511
root_relative_squared_error
0.779711
root_relative_squared_error
0.534245
root_relative_squared_error
0.865164
root_relative_squared_error
0.170286
root_relative_squared_error
0.844079
root_relative_squared_error
0.715875
root_relative_squared_error
0.63478
root_relative_squared_error
0.87207
root_relative_squared_error
0.555284
root_relative_squared_error
0.792313
root_relative_squared_error
0.717872
root_relative_squared_error
0.582203
root_relative_squared_error
0.597303
root_relative_squared_error
0.724727
root_relative_squared_error
0.633619
root_relative_squared_error
0.462241
root_relative_squared_error
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