331413
2
Joaquin Vanschoren
1889
Supervised Classification
predictive_accuracy
1080
weka.NBTree(3)
1850
weka.classifiers.trees.NBTree
weka
weka_3.7.12
9
autos
https://www.openml.org/data/download/9/dataset_9_autos.arff
-1
1133926
description
https://api.openml.org/data/download/1133926/weka_generated_run7912848722593722484.xml
-1
1133929
model_readable
https://api.openml.org/data/download/1133929/WekaModel_weka.classifiers.trees.NBTree4001190635441663001.model
-1
1133928
model_serialized
https://api.openml.org/data/download/1133928/WekaSerialized_weka.classifiers.trees.NBTree5690825977215159162.model
-1
1133927
predictions
https://api.openml.org/data/download/1133927/weka_generated_predictions6396797302748314877.arff
area_under_roc_curve
0.92277 [0.0,0.972492,0.924642,0.94072,0.883725,0.916068,0.957213]
average_cost
0
f_measure
0.753282 [0,0.064516,0.747863,0.832263,0.710988,0.72093,0.761165]
kappa
0.685012
kb_relative_information_score
1411.327648
mean_absolute_error
0.072903
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
0.763271 [0,1,0.705645,0.797538,0.709024,0.769504,0.8]
predictive_accuracy
0.759512
prior_entropy
2.326811
recall
0.759512 [0,0.033333,0.795455,0.870149,0.712963,0.678125,0.725926]
relative_absolute_error
0.329999
root_mean_prior_squared_error
0.331758
root_mean_squared_error
0.243528
root_relative_squared_error
0.734054
scimark_benchmark
1330.385206 [813.9246558745155, 942.7373251037432, 538.6214331989047, 1116.4565351932417, 3240.186079004089]
total_cost
0
usercpu_time_millis
460
usercpu_time_millis_testing
30
usercpu_time_millis_training
430
area_under_roc_curve
0.908825 [0.0,0.0,0.833333,0.938776,0.825,1,0.962963]
area_under_roc_curve
0.964351 [0.0,1,0.973684,0.989796,0.922222,1,0.921053]
area_under_roc_curve
0.88501 [0.0,0.0,0.947368,0.908163,0.833333,0.944444,0.833333]
area_under_roc_curve
0.980489 [0.0,0.0,1,1,0.9625,0.925926,1]
area_under_roc_curve
0.97535 [0.0,0.0,1,1,0.933333,0.970588,1]
area_under_roc_curve
0.966667 [0.0,0.0,1,0.928571,0.966667,1,1]
area_under_roc_curve
0.935728 [0.0,0.0,1,1,0.811111,0.962963,0.947368]
area_under_roc_curve
0.890135 [0.0,0.0,0.947368,0.969388,0.833333,0.779412,0.947368]
area_under_roc_curve
0.974544 [0.0,0.0,0.868421,0.989796,0.966667,1,1]
area_under_roc_curve
0.839519 [0.0,0.0,0.973684,0.938776,0.777778,0.481481,1]
area_under_roc_curve
0.926835 [0.0,0.0,0.921053,0.938776,0.938889,0.916667,0.888889]
area_under_roc_curve
0.890086 [0.0,1,0.973684,0.922222,0.766667,0.962963,0.907407]
area_under_roc_curve
0.93356 [0.0,0.0,1,0.938776,0.866667,0.981481,0.962963]
area_under_roc_curve
0.958451 [0.0,0.0,0.962963,0.959184,0.94375,0.990741,0.944444]
area_under_roc_curve
0.882881 [0.0,0.0,0.907407,0.989796,0.825,0.691176,1]
area_under_roc_curve
0.877778 [0.0,0.0,1,1,0.822222,0.611111,0.888889]
area_under_roc_curve
0.919103 [0.0,0.0,0.962963,0.955556,0.85,1,0.789474]
area_under_roc_curve
0.895677 [0.0,0.0,0.592105,0.928571,0.825,1,1]
area_under_roc_curve
0.904637 [0.0,0.0,1,0.911111,0.872222,0.838235,0.981481]
area_under_roc_curve
0.867152 [0.0,0.0,0.736842,0.959184,0.911111,0.518519,1]
area_under_roc_curve
0.95548 [0.0,1,1,0.94898,0.922222,0.962963,1]
area_under_roc_curve
0.97633 [0.0,1,0.973684,1,0.944444,1,0.962963]
area_under_roc_curve
0.97444 [0.0,1,0.973684,0.938776,1,0.981481,1]
area_under_roc_curve
0.945342 [0.0,1,1,0.989796,0.8625,0.87037,1]
area_under_roc_curve
0.936642 [0.0,1,0.740741,0.969388,0.975,0.981481,0.921053]
area_under_roc_curve
0.877635 [0.0,1,0.842105,0.918367,0.8,0.944444,0.842105]
area_under_roc_curve
0.974603 [0.0,1,1,0.933333,0.977778,1,1]
area_under_roc_curve
0.909672 [0.0,1,0.973684,0.979592,0.8875,0.657407,0.962963]
area_under_roc_curve
0.997354 [0.0,1,1,1,1,1,0.981481]
area_under_roc_curve
0.929419 [0.0,1,1,0.959184,0.844444,1,0.868421]
area_under_roc_curve
0.879075 [0.0,0.95,0.973684,0.969388,0.922222,0.712963,0.552632]
area_under_roc_curve
0.845218 [0.0,0.0,0.842105,0.966667,0.7,0.794118,0.962963]
area_under_roc_curve
0.922304 [0.0,0.95,0.868421,0.969388,0.8125,0.944444,1]
area_under_roc_curve
0.946263 [0.0,1,1,1,0.81875,1,0.925926]
area_under_roc_curve
0.911848 [0.0,1,1,0.979592,0.875,0.638889,1]
area_under_roc_curve
0.846829 [0.0,0.9,0.925926,0.857143,0.7375,0.981481,0.736842]
area_under_roc_curve
0.939696 [0.0,0.95,0.947368,1,0.833333,1,0.962963]
area_under_roc_curve
0.903747 [0.0,1,0.763158,0.897959,0.9,0.907407,0.981481]
area_under_roc_curve
0.850571 [0.0,1,0.842105,0.822222,0.8,0.814815,1]
area_under_roc_curve
1 [0.0,1,1,1,1,1,1]
area_under_roc_curve
0.88612 [0.0,1,1,0.897959,0.755556,1,0.894737]
area_under_roc_curve
0.937831 [0.0,0.0,1,0.928571,0.85,1,0.981481]
area_under_roc_curve
0.9375 [0.0,1,0.962963,0.928571,0.9875,0.787037,1]
area_under_roc_curve
0.96721 [0.0,0.95,0.947368,0.983333,0.927778,1,1]
area_under_roc_curve
0.982738 [0.0,0.95,1,1,0.9375,1,1]
area_under_roc_curve
0.925501 [0.0,1,0.731481,0.989796,0.8625,1,1]
area_under_roc_curve
0.954345 [0.0,1,0.789474,0.94898,0.975,0.981481,1]
area_under_roc_curve
0.947644 [0.0,1,0.868421,0.94898,0.9375,0.944444,1]
area_under_roc_curve
0.951058 [0.0,1,1,1,0.95,0.740741,1]
area_under_roc_curve
0.840915 [0.0,0.9,0.894737,0.790816,0.9125,0.757353,0.921053]
area_under_roc_curve
0.918577 [0.0,0.0,0.777778,0.912088,0.933333,0.960784,0.960784]
area_under_roc_curve
0.977949 [0.0,0.0,1,0.956044,0.973333,1,1]
area_under_roc_curve
0.947436 [0.0,0.0,1,0.945055,0.866667,1,1]
area_under_roc_curve
0.827521 [0.0,0.0,0.75,0.797619,0.75,0.941176,0.980392]
area_under_roc_curve
0.904477 [0.0,0.0,0.972222,1,0.746667,0.803922,1]
area_under_roc_curve
0.940543 [0.0,0.0,1,0.978022,0.94,0.911765,0.843137]
area_under_roc_curve
0.986667 [0.0,0.0,1,1,0.946667,1,1]
area_under_roc_curve
0.932368 [0.0,0.0,1,0.912088,0.946667,0.960784,0.882353]
area_under_roc_curve
0.891724 [0.0,0.0,0.972222,0.901099,0.94,0.921569,0.705882]
area_under_roc_curve
0.886287 [0.0,0.0,0.5,1,0.84,0.984375,0.862745]
area_under_roc_curve
0.878673 [0.0,0.0,1,0.879121,0.813333,0.862745,0.921569]
area_under_roc_curve
0.990784 [0.0,0.0,1,1,0.986667,1,0.960784]
area_under_roc_curve
0.971699 [0.0,0.0,1,0.956044,0.973333,0.96875,1]
area_under_roc_curve
0.950584 [0.0,0.0,0.972222,0.97619,0.97619,0.784314,1]
area_under_roc_curve
0.959276 [0.0,0.0,1,0.934066,1,1,0.882353]
area_under_roc_curve
0.941403 [0.0,0.0,1,0.967033,1,0.686275,1]
area_under_roc_curve
0.87322 [0.0,0.0,1,0.945055,0.793333,0.72549,0.901961]
area_under_roc_curve
0.9581 [0.0,0.0,1,0.934066,0.96,0.941176,1]
area_under_roc_curve
0.966111 [0.0,0.0,0.861111,1,0.92,1,1]
area_under_roc_curve
0.949832 [0.0,0.0,1,0.952381,0.88,1,0.960784]
area_under_roc_curve
0.991667 [0.0,0.0,0.916667,1,1,1,1]
area_under_roc_curve
0.863947 [0.0,0.0,0.944444,0.758242,0.84,0.980392,0.980392]
area_under_roc_curve
0.977024 [0.0,0.0,1,0.97619,0.986667,0.9375,1]
area_under_roc_curve
0.855805 [0.0,0.0,1,0.824176,0.821429,0.843137,0.944444]
area_under_roc_curve
0.816176 [0.0,0.0,1,0.75,0.666667,0.941176,1]
area_under_roc_curve
0.935993 [0.0,0.0,1,1,0.78,0.984375,0.960784]
area_under_roc_curve
0.84456 [0.0,0.0,0.722222,0.945055,0.813333,0.607843,0.980392]
area_under_roc_curve
0.878571 [0.0,0.0,1,0.880952,0.714286,1,1]
area_under_roc_curve
0.879839 [0.0,0.0,0.555556,0.89011,0.933333,0.882353,0.980392]
area_under_roc_curve
0.93584 [0.0,0.0,1,0.988095,0.84,0.960784,0.901961]
area_under_roc_curve
0.931161 [0.0,0.0,1,0.964286,0.88,0.859375,1]
area_under_roc_curve
0.981569 [0.0,0.0,1,1,0.973333,0.921569,1]
area_under_roc_curve
0.881781 [0.0,0.0,0.597222,1,0.833333,1,0.813725]
area_under_roc_curve
0.961923 [0.0,0.0,1,0.934066,0.94,1,1]
area_under_roc_curve
0.985458 [0.0,0.0,0.972222,1,1,0.960784,0.960784]
area_under_roc_curve
0.905944 [0.0,0.0,1,0.833333,0.933333,0.921875,0.921569]
area_under_roc_curve
0.961086 [0.0,0.0,1,0.956044,1,0.843137,1]
area_under_roc_curve
0.973319 [0.0,0.0,0.941176,1,0.940476,1,1]
area_under_roc_curve
0.912051 [0.0,0.0,1,0.901099,0.786667,1,1]
area_under_roc_curve
0.982821 [0.0,0.0,1,0.989011,0.946667,1,1]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.933929 [0.0,0.0,1,0.892857,0.886905,1,1]
area_under_roc_curve
0.968341 [0.0,0.0,1,0.956044,0.946667,0.980392,1]
area_under_roc_curve
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area_under_roc_curve
0.993725 [0.0,0.0,1,1,0.986667,0.980392,1]
area_under_roc_curve
0.92817 [0.0,0.0,0.777778,1,0.813333,1,0.980392]
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f_measure
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f_measure
0.759744 [0,0,0.5,0.923077,0.666667,0.666667,0.8]
f_measure
0.853974 [0,0,1,0.833333,0.769231,1,0.8]
f_measure
0.668333 [0,0,0.8,0.7,0.333333,0.8,1]
f_measure
0.611429 [0,0,0.4,0.571429,0.6,0.666667,0.8]
f_measure
0.724524 [0,0,0.8,0.933333,0.571429,0.5,0.666667]
f_measure
0.752567 [0,0,1,0.727273,0.769231,0.571429,0.8]
f_measure
0.892738 [0,0,1,0.933333,0.75,1,0.857143]
f_measure
0.643549 [0,0,0.8,0.769231,0.727273,0.75,0]
f_measure
0.608485 [0,0,0.666667,0.857143,0.727273,0.4,0]
f_measure
0.664141 [0,0,0,1,0.545455,0.888889,0.333333]
f_measure
0.662857 [0,0,1,0.666667,0.666667,0.285714,0.8]
f_measure
0.855714 [0,0,1,1,0.8,0.8,0.571429]
f_measure
0.841667 [0,0,1,0.857143,0.833333,0.666667,1]
f_measure
0.793497 [0,0,0.8,0.769231,0.909091,0.4,1]
f_measure
0.853974 [0,0,1,0.833333,0.769231,1,0.8]
f_measure
0.833333 [0,0,1,0.857143,0.833333,0.5,1]
f_measure
0.74303 [0,0,1,0.933333,0.545455,0.8,0.4]
f_measure
0.851648 [0,0,0.8,0.923077,0.8,0.8,0.857143]
f_measure
0.895238 [0,0,0.666667,1,0.8,0.857143,1]
f_measure
0.84359 [0,0,1,0.923077,0.666667,1,0.666667]
f_measure
0.943939 [0,0,0.666667,1,0.909091,1,1]
f_measure
0.53515 [0,0,0.5,0.461538,0.444444,0.75,0.666667]
f_measure
0.843651 [0,0,1,0.857143,0.888889,0.571429,1]
f_measure
0.693725 [0,0,1,0.705882,0.6,0.666667,0.666667]
f_measure
0.545974 [0,0,1,0.571429,0.181818,0.666667,0.8]
f_measure
0.790476 [0,0,0.666667,0.857143,0.666667,0.857143,0.857143]
f_measure
0.606667 [0,0,0.4,0.857143,0.666667,0,0.666667]
f_measure
0.793269 [0,0,1,0.769231,0.666667,1,0.75]
f_measure
0.666667 [0,0,0.666667,0.833333,0.666667,0.444444,0.5]
f_measure
0.631111 [0,0,0.8,0.75,0.444444,0.666667,0.5]
f_measure
0.588095 [0,0,0.666667,0.714286,0.4,0.285714,1]
f_measure
0.83125 [0,0,1,0.875,0.8,0.5,1]
f_measure
0.746667 [0,0,0.666667,1,0.666667,0.8,0.4]
f_measure
0.903077 [0,0,1,0.923077,0.8,1,0.8]
f_measure
0.828846 [0,0,0.8,0.923077,0.923077,0.8,0.5]
f_measure
0.7 [0,0,0.8,0.666667,0.666667,0.666667,0.8]
f_measure
0.896667 [0,0,1,0.933333,1,0.666667,0.8]
f_measure
0.9 [0,0,0.8,1,0.833333,1,0.8]
f_measure
0.846071 [0,0,0.857143,0.8,0.75,1,1]
f_measure
0.902442 [0,0,1,0.923077,0.888889,0.857143,0.857143]
f_measure
0.688187 [0,0,0.857143,0.615385,0.6,0.5,1]
f_measure
0.78539 [0,0,0.5,0.857143,0.727273,0.857143,1]
f_measure
0.617965 [0,0,0.666667,0.909091,0.5,0,0.857143]
f_measure
0.699697 [0,0,0.666667,0.8,0.545455,0.75,0.666667]
f_measure
0.791991 [0,0,0.666667,0.833333,0.727273,0.857143,0.857143]
f_measure
0.850769 [0,0,1,0.769231,0.833333,0.8,1]
f_measure
0.784722 [0,0,1,0.777778,0.75,0.5,1]
f_measure
0.793799 [0,0,0.857143,0.6,0.909091,0.75,1]
f_measure
0.9 [0,0,1,1,0.8,0.8,0.8]
f_measure
0.679902 [0,0,0.666667,0.823529,0.6,0.5,0.666667]
kappa
0.615854
kappa
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kappa
0.452174
kappa
0.815789
kappa
0.673913
kappa
0.6875
kappa
0.619335
kappa
0.550459
kappa
0.87156
kappa
0.680851
kappa
0.557229
kappa
0.517241
kappa
0.679878
kappa
0.751479
kappa
0.686567
kappa
0.608696
kappa
0.692082
kappa
0.747748
kappa
0.692082
kappa
0.669811
kappa
0.686567
kappa
0.756522
kappa
0.76204
kappa
0.628319
kappa
0.578797
kappa
0.46
kappa
0.877551
kappa
0.686567
kappa
0.816327
kappa
0.750742
kappa
0.620482
kappa
0.685629
kappa
0.685629
kappa
0.757925
kappa
0.622754
kappa
0.355828
kappa
0.447368
kappa
0.495495
kappa
0.447368
kappa
0.937685
kappa
0.686567
kappa
0.753666
kappa
0.756522
kappa
0.878261
kappa
0.684685
kappa
0.75
kappa
0.759312
kappa
0.6875
kappa
0.758621
kappa
0.51585
kappa
0.671053
kappa
0.803922
kappa
0.583333
kappa
0.478827
kappa
0.674267
kappa
0.677419
kappa
0.868421
kappa
0.609121
kappa
0.539474
kappa
0.606557
kappa
0.536424
kappa
0.802632
kappa
0.8
kappa
0.739414
kappa
0.803922
kappa
0.8
kappa
0.66443
kappa
0.805825
kappa
0.867987
kappa
0.807074
kappa
0.934853
kappa
0.419355
kappa
0.80456
kappa
0.587629
kappa
0.405941
kappa
0.738562
kappa
0.534884
kappa
0.74359
kappa
0.543974
kappa
0.536424
kappa
0.473684
kappa
0.797297
kappa
0.662162
kappa
0.869707
kappa
0.800664
kappa
0.615385
kappa
0.866667
kappa
0.869707
kappa
0.802632
kappa
0.870968
kappa
0.61165
kappa
0.735099
kappa
0.549839
kappa
0.591837
kappa
0.74026
kappa
0.80198
kappa
0.726027
kappa
0.746032
kappa
0.868852
kappa
0.587629
kb_relative_information_score
12.784091
kb_relative_information_score
14.247786
kb_relative_information_score
11.206206
kb_relative_information_score
17.210227
kb_relative_information_score
13.699611
kb_relative_information_score
14.728715
kb_relative_information_score
13.090581
kb_relative_information_score
11.704095
kb_relative_information_score
17.333407
kb_relative_information_score
13.693166
kb_relative_information_score
11.878659
kb_relative_information_score
12.802747
kb_relative_information_score
14.056023
kb_relative_information_score
15.181523
kb_relative_information_score
13.90584
kb_relative_information_score
11.864355
kb_relative_information_score
13.731973
kb_relative_information_score
14.765305
kb_relative_information_score
13.995293
kb_relative_information_score
13.447057
kb_relative_information_score
15.237049
kb_relative_information_score
15.671707
kb_relative_information_score
17.547188
kb_relative_information_score
14.851589
kb_relative_information_score
13.647592
kb_relative_information_score
11.168394
kb_relative_information_score
18.385796
kb_relative_information_score
13.76256
kb_relative_information_score
17.458149
kb_relative_information_score
16.65873
kb_relative_information_score
12.879907
kb_relative_information_score
13.491769
kb_relative_information_score
13.715439
kb_relative_information_score
16.987701
kb_relative_information_score
14.238168
kb_relative_information_score
9.547314
kb_relative_information_score
11.9988
kb_relative_information_score
11.156898
kb_relative_information_score
11.353044
kb_relative_information_score
18.210758
kb_relative_information_score
14.815435
kb_relative_information_score
15.323711
kb_relative_information_score
16.887679
kb_relative_information_score
18.080464
kb_relative_information_score
15.79331
kb_relative_information_score
16.355524
kb_relative_information_score
16.715664
kb_relative_information_score
15.414176
kb_relative_information_score
16.623869
kb_relative_information_score
10.761648
kb_relative_information_score
12.892623
kb_relative_information_score
15.78188
kb_relative_information_score
12.391454
kb_relative_information_score
10.035708
kb_relative_information_score
12.65669
kb_relative_information_score
13.606608
kb_relative_information_score
16.83355
kb_relative_information_score
11.829488
kb_relative_information_score
10.541719
kb_relative_information_score
11.800592
kb_relative_information_score
10.788244
kb_relative_information_score
16.155985
kb_relative_information_score
14.948985
kb_relative_information_score
14.32877
kb_relative_information_score
15.141904
kb_relative_information_score
14.806116
kb_relative_information_score
12.801036
kb_relative_information_score
15.56045
kb_relative_information_score
16.097322
kb_relative_information_score
15.654688
kb_relative_information_score
17.913928
kb_relative_information_score
9.82493
kb_relative_information_score
15.600502
kb_relative_information_score
11.429733
kb_relative_information_score
10.25275
kb_relative_information_score
14.740824
kb_relative_information_score
11.287206
kb_relative_information_score
14.92651
kb_relative_information_score
11.473127
kb_relative_information_score
11.71238
kb_relative_information_score
11.306431
kb_relative_information_score
15.214062
kb_relative_information_score
12.097652
kb_relative_information_score
16.845344
kb_relative_information_score
15.190247
kb_relative_information_score
12.352417
kb_relative_information_score
16.300681
kb_relative_information_score
15.717345
kb_relative_information_score
15.660878
kb_relative_information_score
16.608087
kb_relative_information_score
13.765101
kb_relative_information_score
14.294741
kb_relative_information_score
11.214985
kb_relative_information_score
11.871553
kb_relative_information_score
13.92627
kb_relative_information_score
15.708074
kb_relative_information_score
15.017518
kb_relative_information_score
15.375265
kb_relative_information_score
17.237474
kb_relative_information_score
11.741125
mean_absolute_error
0.084644
mean_absolute_error
0.083797
mean_absolute_error
0.111876
mean_absolute_error
0.043536
mean_absolute_error
0.070405
mean_absolute_error
0.0668
mean_absolute_error
0.085788
mean_absolute_error
0.094634
mean_absolute_error
0.030146
mean_absolute_error
0.077165
mean_absolute_error
0.091931
mean_absolute_error
0.107264
mean_absolute_error
0.072606
mean_absolute_error
0.067152
mean_absolute_error
0.075962
mean_absolute_error
0.091896
mean_absolute_error
0.080126
mean_absolute_error
0.068945
mean_absolute_error
0.084167
mean_absolute_error
0.073048
mean_absolute_error
0.071937
mean_absolute_error
0.057842
mean_absolute_error
0.051147
mean_absolute_error
0.07846
mean_absolute_error
0.09406
mean_absolute_error
0.121409
mean_absolute_error
0.040732
mean_absolute_error
0.075609
mean_absolute_error
0.044441
mean_absolute_error
0.056841
mean_absolute_error
0.082487
mean_absolute_error
0.081635
mean_absolute_error
0.074773
mean_absolute_error
0.060824
mean_absolute_error
0.083109
mean_absolute_error
0.135116
mean_absolute_error
0.10575
mean_absolute_error
0.113639
mean_absolute_error
0.126109
mean_absolute_error
0.022707
mean_absolute_error
0.076408
mean_absolute_error
0.061466
mean_absolute_error
0.055807
mean_absolute_error
0.029621
mean_absolute_error
0.062281
mean_absolute_error
0.066031
mean_absolute_error
0.055842
mean_absolute_error
0.069783
mean_absolute_error
0.057226
mean_absolute_error
0.110556
mean_absolute_error
0.075488
mean_absolute_error
0.05001
mean_absolute_error
0.086346
mean_absolute_error
0.118145
mean_absolute_error
0.088203
mean_absolute_error
0.072696
mean_absolute_error
0.03342
mean_absolute_error
0.091786
mean_absolute_error
0.10095
mean_absolute_error
0.088314
mean_absolute_error
0.109733
mean_absolute_error
0.038029
mean_absolute_error
0.054461
mean_absolute_error
0.065861
mean_absolute_error
0.056887
mean_absolute_error
0.057948
mean_absolute_error
0.077574
mean_absolute_error
0.048415
mean_absolute_error
0.038624
mean_absolute_error
0.056779
mean_absolute_error
0.018404
mean_absolute_error
0.123852
mean_absolute_error
0.050083
mean_absolute_error
0.096954
mean_absolute_error
0.122337
mean_absolute_error
0.058341
mean_absolute_error
0.095667
mean_absolute_error
0.065627
mean_absolute_error
0.096072
mean_absolute_error
0.095081
mean_absolute_error
0.103208
mean_absolute_error
0.051157
mean_absolute_error
0.084252
mean_absolute_error
0.032639
mean_absolute_error
0.04582
mean_absolute_error
0.094596
mean_absolute_error
0.032654
mean_absolute_error
0.049524
mean_absolute_error
0.055011
mean_absolute_error
0.038382
mean_absolute_error
0.080439
mean_absolute_error
0.058507
mean_absolute_error
0.103955
mean_absolute_error
0.08728
mean_absolute_error
0.074008
mean_absolute_error
0.049281
mean_absolute_error
0.054458
mean_absolute_error
0.059807
mean_absolute_error
0.024918
mean_absolute_error
0.085766
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
0.218971
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
0.219677
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.222035
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.21934
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
0.219677
mean_prior_absolute_error
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
mean_prior_absolute_error
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
0.220553
mean_prior_absolute_error
0.21934
mean_prior_absolute_error
0.220553
mean_prior_absolute_error
0.220553
mean_prior_absolute_error
0.219677
mean_prior_absolute_error
0.220889
mean_prior_absolute_error
0.220013
mean_prior_absolute_error
0.219677
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
21 [0,0,2,7,6,4,2]
number_of_instances
21 [0,0,2,7,6,3,3]
number_of_instances
21 [0,0,3,7,6,3,2]
number_of_instances
21 [0,0,2,7,6,4,2]
number_of_instances
21 [0,0,2,7,6,4,2]
number_of_instances
21 [0,0,2,7,6,3,3]
number_of_instances
21 [0,0,2,7,6,3,3]
number_of_instances
21 [0,1,2,6,6,3,3]
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
21 [0,0,3,7,5,4,2]
number_of_instances
21 [0,0,2,7,6,3,3]
number_of_instances
21 [0,0,3,6,6,4,2]
number_of_instances
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number_of_instances
21 [0,0,2,6,6,4,3]
number_of_instances
21 [0,0,2,7,6,3,3]
number_of_instances
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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 [0,1,2,7,5,3,3]
number_of_instances
21 [0,1,3,7,5,3,2]
number_of_instances
21 [0,1,2,7,6,3,2]
number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
21 [0,1,2,7,6,3,2]
number_of_instances
21 [0,1,2,7,6,3,2]
number_of_instances
21 [0,0,2,6,6,4,3]
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 [0,1,2,7,5,3,3]
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 [0,1,2,6,6,3,3]
number_of_instances
21 [0,1,2,7,6,3,2]
number_of_instances
21 [0,1,2,7,6,3,2]
number_of_instances
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
0.757143 [0,0,1,0.7,0.6,1,0.666667]
precision
0.689683 [0,0,0.666667,0.7,0.666667,0.75,1]
precision
0.620635 [0,0,0.333333,0.666667,0.75,0.4,0.666667]
precision
0.869048 [0,0,1,1,0.75,0.5,1]
precision
0.815296 [0,0,1,0.636364,1,0.666667,1]
precision
0.795351 [0,0,0.666667,0.833333,0.714286,0.75,1]
precision
0.709524 [0,0,1,0.7,0.666667,0.666667,0.5]
precision
0.706349 [0,0,0.5,0.833333,0.555556,0.666667,1]
precision
0.910714 [0,0,1,0.875,0.833333,1,1]
precision
0.670635 [0,0,0.666667,0.857143,0.625,0,1]
precision
0.670635 [0,0,0.5,0.833333,0.625,0.5,0.666667]
precision
0.687302 [0,0,0.666667,0.6,1,0.666667,0.5]
precision
0.797619 [0,0,1,0.857143,0.625,0.666667,1]
precision
0.837302 [0,0,0.75,0.857143,0.666667,1,1]
precision
0.80754 [0,0,1,0.875,0.5,1,0.666667]
precision
0.714286 [0,0,1,1,0.5,0,1]
precision
0.747619 [0,0,0.5,0.833333,1,0.8,0]
precision
0.85034 [0,0,1,0.857143,0.571429,1,1]
precision
0.793651 [0,0,1,0.625,1,0.666667,0.75]
precision
0.67551 [0,0,1,0.7,0.714286,0,1]
precision
0.761905 [0,0,0.666667,0.666667,1,0.666667,1]
precision
0.775057 [0,0,0.666667,0.857143,0.8,1,0.666667]
precision
0.859524 [0,0,0.4,1,1,0.75,1]
precision
0.592404 [0,0,0.666667,0.857143,0.571429,0,0.75]
precision
0.695238 [0,0,0.4,0.8,0.8,0.6,1]
precision
0.608844 [0,0,0.5,0.833333,0.666667,0.428571,0.333333]
precision
0.879819 [0,0,0.666667,1,0.857143,1,1]
precision
0.776927 [0,0,0.666667,0.875,0.571429,1,1]
precision
0.863946 [0,0,0.5,1,0.857143,1,1]
precision
0.809524 [0,0,0.5,0.857143,0.833333,1,1]
precision
0.714286 [0,0,0.5,1,0.666667,1,0]
precision
0.789116 [0,0,1,0.857143,0.571429,1,0.666667]
precision
0.761054 [0,0,0.5,0.875,0.571429,1,1]
precision
0.815873 [0,0,0.666667,1,1,0.6,0.666667]
precision
0.751323 [0,0,0.5,0.777778,0.666667,1,1]
precision
0.563492 [0,0,0.333333,0.5,0.666667,1,0.5]
precision
0.568543 [0,0,0.333333,0.545455,0.5,1,0.666667]
precision
0.55873 [0,0,0,0.7,0.666667,0.5,0.666667]
precision
0.556122 [0,1,1,0.571429,0.5,0,0.75]
precision
0.920635 [0,0,0.666667,1,1,1,1]
precision
0.727513 [0,0,0.666667,0.777778,0.75,1,0.5]
precision
0.857143 [0,0,0.5,0.857143,0.8,1,1]
precision
0.815873 [0,0,0.6,0.857143,1,1,0.666667]
precision
0.879819 [0,0,0.666667,0.857143,1,1,1]
precision
0.767196 [0,0,0.666667,0.777778,0.666667,1,1]
precision
0.771164 [0,0,0.666667,0.777778,0.75,1,1]
precision
0.813492 [0,0,0.333333,1,0.833333,0.75,1]
precision
0.742063 [0,0,0.5,0.75,0.666667,1,1]
precision
0.836735 [0,0,0.5,1,0.714286,1,1]
precision
0.627211 [0,0,0.333333,0.8,0.714286,0.666667,0.333333]
precision
0.792857 [0,0,0.5,1,0.571429,0.666667,1]
precision
0.90625 [0,0,1,1,0.625,1,1]
precision
0.838462 [0,0,1,0.538462,1,1,1]
precision
0.658333 [0,0,0.333333,0.5,0.75,0.666667,1]
precision
0.847917 [0,0,0.666667,0.875,1,1,0.5]
precision
0.83125 [0,0,1,1,0.625,0.5,1]
precision
0.91875 [0,0,1,0.875,1,1,0.75]
precision
0.615 [0,0,0.666667,0.833333,0.666667,0.6,0]
precision
0.591667 [0,0,0.5,0.857143,0.666667,0.5,0]
precision
0.635 [0,0,0,1,0.5,0.8,0.333333]
precision
0.69375 [0,0,1,0.625,0.75,0.25,1]
precision
0.875 [0,0,1,1,0.8,1,0.5]
precision
0.878571 [0,0,1,0.857143,0.714286,1,1]
precision
0.805952 [0,0,0.666667,0.714286,1,0.5,1]
precision
0.90625 [0,0,1,1,0.625,1,1]
precision
0.878571 [0,0,1,0.857143,0.714286,1,1]
precision
0.75625 [0,0,1,0.875,0.5,1,0.5]
precision
0.879167 [0,0,0.666667,1,0.8,1,0.75]
precision
0.9125 [0,0,1,1,0.8,0.75,1]
precision
0.844643 [0,0,1,0.857143,0.75,1,0.666667]
precision
0.958333 [0,0,1,1,0.833333,1,1]
precision
0.54 [0,0,0.5,0.5,0.5,0.6,0.666667]
precision
0.858333 [0,0,1,0.75,1,0.666667,1]
precision
0.735 [0,0,1,0.6,0.75,0.666667,1]
precision
0.56 [0,0,1,0.5,0.2,0.666667,1]
precision
0.825 [0,0,1,0.75,0.75,1,0.75]
precision
0.57619 [0,0,0.333333,0.857143,0.571429,0,0.666667]
precision
0.854286 [0,0,1,0.714286,1,1,0.6]
precision
0.792857 [0,0,1,1,0.571429,0.333333,1]
precision
0.705 [0,0,1,0.6,0.5,0.666667,1]
precision
0.604167 [0,0,1,0.625,0.4,0.333333,1]
precision
0.872222 [0,0,1,0.777778,0.8,1,1]
precision
0.791667 [0,0,1,1,0.555556,1,0.5]
precision
0.916667 [0,0,1,1,0.8,1,0.666667]
precision
0.880952 [0,0,0.666667,0.857143,0.857143,1,1]
precision
0.841667 [0,0,0.666667,1,0.5,1,1]
precision
0.90625 [0,0,1,0.875,1,0.666667,1]
precision
0.916667 [0,0,1,1,0.833333,1,0.666667]
precision
0.875 [0,0,0.75,0.75,1,1,1]
precision
0.925 [0,0,1,1,1,0.75,0.75]
precision
0.733929 [0,0,0.75,0.571429,0.6,1,1]
precision
0.829167 [0,0,1,0.857143,0.666667,0.75,1]
precision
0.6125 [0,0,0.5,1,0.5,0,0.75]
precision
0.7375 [0,0,1,0.75,0.5,0.75,1]
precision
0.815 [0,0,1,0.833333,0.8,0.75,0.75]
precision
0.864286 [0,0,1,0.714286,0.833333,1,1]
precision
0.872727 [0,0,1,0.636364,1,1,1]
precision
0.8275 [0,0,0.75,0.75,1,0.6,1]
precision
0.916667 [0,0,1,1,0.8,1,0.666667]
precision
0.745 [0,0,1,0.7,0.6,1,0.666667]
predictive_accuracy
0.714286
predictive_accuracy
0.714286
predictive_accuracy
0.571429
predictive_accuracy
0.857143
predictive_accuracy
0.761905
predictive_accuracy
0.761905
predictive_accuracy
0.714286
predictive_accuracy
0.666667
predictive_accuracy
0.904762
predictive_accuracy
0.761905
predictive_accuracy
0.666667
predictive_accuracy
0.619048
predictive_accuracy
0.761905
predictive_accuracy
0.809524
predictive_accuracy
0.761905
predictive_accuracy
0.714286
predictive_accuracy
0.761905
predictive_accuracy
0.809524
predictive_accuracy
0.761905
predictive_accuracy
0.761905
predictive_accuracy
0.761905
predictive_accuracy
0.809524
predictive_accuracy
0.809524
predictive_accuracy
0.714286
predictive_accuracy
0.666667
predictive_accuracy
0.571429
predictive_accuracy
0.904762
predictive_accuracy
0.761905
predictive_accuracy
0.857143
predictive_accuracy
0.809524
predictive_accuracy
0.714286
predictive_accuracy
0.761905
predictive_accuracy
0.761905
predictive_accuracy
0.809524
predictive_accuracy
0.714286
predictive_accuracy
0.52381
predictive_accuracy
0.571429
predictive_accuracy
0.619048
predictive_accuracy
0.571429
predictive_accuracy
0.952381
predictive_accuracy
0.761905
predictive_accuracy
0.809524
predictive_accuracy
0.809524
predictive_accuracy
0.904762
predictive_accuracy
0.761905
predictive_accuracy
0.809524
predictive_accuracy
0.809524
predictive_accuracy
0.761905
predictive_accuracy
0.809524
predictive_accuracy
0.619048
predictive_accuracy
0.75
predictive_accuracy
0.85
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.9
predictive_accuracy
0.7
predictive_accuracy
0.65
predictive_accuracy
0.7
predictive_accuracy
0.65
predictive_accuracy
0.85
predictive_accuracy
0.85
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
0.95
predictive_accuracy
0.55
predictive_accuracy
0.85
predictive_accuracy
0.7
predictive_accuracy
0.55
predictive_accuracy
0.8
predictive_accuracy
0.65
predictive_accuracy
0.8
predictive_accuracy
0.65
predictive_accuracy
0.65
predictive_accuracy
0.6
predictive_accuracy
0.85
predictive_accuracy
0.75
predictive_accuracy
0.9
predictive_accuracy
0.85
predictive_accuracy
0.7
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.85
predictive_accuracy
0.9
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.65
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.85
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
0.7
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
0.714286 [0,0,0.333333,1,0.6,0.666667,0.666667]
recall
0.714286 [0,0,1,1,0.333333,1,0.5]
recall
0.571429 [0,0,0.5,0.571429,0.5,0.666667,0.666667]
recall
0.857143 [0,0,1,1,0.6,0.666667,1]
recall
0.761905 [0,0,0.5,1,0.666667,0.5,1]
recall
0.761905 [0,0,1,0.714286,0.833333,1,0.333333]
recall
0.714286 [0,0,1,1,0.333333,0.666667,0.5]
recall
0.666667 [0,0,0.5,0.714286,0.833333,0.5,0.5]
recall
0.904762 [0,0,0.5,1,0.833333,1,1]
recall
0.761905 [0,0,1,0.857143,0.833333,0,1]
recall
0.666667 [0,0,0.5,0.714286,0.833333,0.333333,0.666667]
recall
0.619048 [0,0,1,1,0.166667,0.666667,0.666667]
recall
0.761905 [0,0,1,0.857143,0.833333,0.666667,0.333333]
recall
0.809524 [0,0,1,0.857143,0.8,0.666667,0.666667]
recall
0.761905 [0,0,0.666667,1,0.6,0.5,1]
recall
0.714286 [0,0,1,1,0.833333,0,0.333333]
recall
0.761905 [0,0,0.666667,0.833333,0.833333,1,0]
recall
0.809524 [0,0,0.5,0.857143,0.8,1,0.666667]
recall
0.761905 [0,0,1,0.833333,0.666667,0.5,1]
recall
0.761905 [0,0,0.5,1,0.833333,0,1]
recall
0.761905 [0,0,1,0.857143,0.666667,0.666667,1]
recall
0.809524 [0,0,1,1,0.666667,1,0.666667]
recall
0.809524 [0,0,1,0.714286,1,1,0.666667]
recall
0.714286 [0,0,1,0.857143,0.8,0,1]
recall
0.666667 [0,0,0.666667,0.571429,0.8,1,0.5]
recall
0.571429 [0,0,0.5,0.714286,0.333333,1,0.5]
recall
0.904762 [0,0,1,0.833333,1,1,1]
recall
0.761905 [0,0,1,1,0.8,0.333333,0.666667]
recall
0.857143 [0,0,1,1,1,1,0.333333]
recall
0.809524 [0,0,1,0.857143,0.833333,1,0.5]
recall
0.714286 [0,0,1,0.857143,1,0.333333,0]
recall
0.761905 [0,0,0.5,1,0.666667,0.75,0.666667]
recall
0.761905 [0,0,0.5,1,0.8,0.666667,0.666667]
recall
0.809524 [0,0,1,1,0.6,1,0.666667]
recall
0.714286 [0,0,1,1,0.8,0.333333,0.333333]
recall
0.52381 [0,0,0.333333,0.857143,0.4,0.333333,0.5]
recall
0.571429 [0,0,0.5,1,0.166667,0.666667,0.666667]
recall
0.619048 [0,0,0,1,0.4,0.666667,0.666667]
recall
0.571429 [0,1,0.5,0.666667,0.5,0,1]
recall
0.952381 [0,0,1,1,1,1,1]
recall
0.761905 [0,0,1,1,0.5,1,0.5]
recall
0.809524 [0,0,1,0.857143,0.8,0.75,0.666667]
recall
0.809524 [0,0,1,0.857143,0.8,0.666667,1]
recall
0.904762 [0,0,1,1,0.833333,1,1]
recall
0.761905 [0,0,1,1,0.8,0.666667,0.333333]
recall
0.809524 [0,0,0.666667,1,0.6,1,1]
recall
0.809524 [0,0,0.5,0.714286,1,1,1]
recall
0.761905 [0,0,0.5,0.857143,0.8,0.666667,1]
recall
0.809524 [0,0,1,0.714286,1,0.666667,1]
recall
0.619048 [0,0,0.5,0.571429,1,0.5,0.5]
recall
0.75 [0,0,0.5,0.857143,0.8,0.666667,0.666667]
recall
0.85 [0,0,1,0.714286,1,1,0.666667]
recall
0.7 [0,0,0.666667,1,0.2,0.666667,1]
recall
0.6 [0,0,0.5,0.666667,0.5,0.666667,0.666667]
recall
0.75 [0,0,1,1,0.4,0.333333,1]
recall
0.75 [0,0,1,0.571429,1,0.666667,0.666667]
recall
0.9 [0,0,1,1,0.6,1,1]
recall
0.7 [0,0,1,0.714286,0.8,1,0]
recall
0.65 [0,0,1,0.857143,0.8,0.333333,0]
recall
0.7 [0,0,0,1,0.6,1,0.333333]
recall
0.65 [0,0,1,0.714286,0.6,0.333333,0.666667]
recall
0.85 [0,0,1,1,0.8,0.666667,0.666667]
recall
0.85 [0,0,1,0.857143,1,0.5,1]
recall
0.8 [0,0,1,0.833333,0.833333,0.333333,1]
recall
0.85 [0,0,1,0.714286,1,1,0.666667]
recall
0.85 [0,0,1,0.857143,1,0.333333,1]
recall
0.75 [0,0,1,1,0.6,0.666667,0.333333]
recall
0.85 [0,0,1,0.857143,0.8,0.666667,1]
recall
0.9 [0,0,0.5,1,0.8,1,1]
recall
0.85 [0,0,1,1,0.6,1,0.666667]
recall
0.95 [0,0,0.5,1,1,1,1]
recall
0.55 [0,0,0.5,0.428571,0.4,1,0.666667]
recall
0.85 [0,0,1,1,0.8,0.5,1]
recall
0.7 [0,0,1,0.857143,0.5,0.666667,0.5]
recall
0.55 [0,0,1,0.666667,0.166667,0.666667,0.666667]
recall
0.8 [0,0,0.5,1,0.6,0.75,1]
recall
0.65 [0,0,0.5,0.857143,0.8,0,0.666667]
recall
0.8 [0,0,1,0.833333,0.5,1,1]
recall
0.65 [0,0,0.5,0.714286,0.8,0.666667,0.333333]
recall
0.65 [0,0,0.666667,1,0.4,0.666667,0.333333]
recall
0.6 [0,0,0.5,0.833333,0.4,0.25,1]
recall
0.85 [0,0,1,1,0.8,0.333333,1]
recall
0.75 [0,0,0.5,1,0.833333,0.666667,0.333333]
recall
0.9 [0,0,1,0.857143,0.8,1,1]
recall
0.85 [0,0,1,1,1,0.666667,0.333333]
recall
0.7 [0,0,1,0.5,1,0.5,0.666667]
recall
0.9 [0,0,1,1,1,0.666667,0.666667]
recall
0.9 [0,0,0.666667,1,0.833333,1,1]
recall
0.85 [0,0,1,0.857143,0.6,1,1]
recall
0.9 [0,0,1,0.857143,0.8,1,1]
recall
0.7 [0,0,1,0.666667,0.6,0.333333,1]
recall
0.8 [0,0,0.333333,0.857143,0.8,1,1]
recall
0.65 [0,0,1,0.833333,0.5,0,1]
recall
0.7 [0,0,0.5,0.857143,0.6,0.75,0.5]
recall
0.8 [0,0,0.5,0.833333,0.666667,1,1]
recall
0.85 [0,0,1,0.833333,0.833333,0.666667,1]
recall
0.8 [0,0,1,1,0.6,0.333333,1]
recall
0.8 [0,0,1,0.5,0.833333,1,1]
recall
0.9 [0,0,1,1,0.8,0.666667,1]
recall
0.7 [0,0,0.5,1,0.6,0.333333,0.666667]
relative_absolute_error
0.382409
relative_absolute_error
0.379461
relative_absolute_error
0.510169
relative_absolute_error
0.19669
relative_absolute_error
0.321528
relative_absolute_error
0.304619
relative_absolute_error
0.390633
relative_absolute_error
0.432177
relative_absolute_error
0.137672
relative_absolute_error
0.351882
relative_absolute_error
0.419217
relative_absolute_error
0.480147
relative_absolute_error
0.331095
relative_absolute_error
0.303381
relative_absolute_error
0.343681
relative_absolute_error
0.41906
relative_absolute_error
0.361157
relative_absolute_error
0.312389
relative_absolute_error
0.379922
relative_absolute_error
0.333109
relative_absolute_error
0.325753
relative_absolute_error
0.258917
relative_absolute_error
0.229806
relative_absolute_error
0.352529
relative_absolute_error
0.422011
relative_absolute_error
0.549782
relative_absolute_error
0.18259
relative_absolute_error
0.339717
relative_absolute_error
0.198932
relative_absolute_error
0.257396
relative_absolute_error
0.37353
relative_absolute_error
0.368493
relative_absolute_error
0.33596
relative_absolute_error
0.273287
relative_absolute_error
0.373413
relative_absolute_error
0.606214
relative_absolute_error
0.473369
relative_absolute_error
0.51059
relative_absolute_error
0.564503
relative_absolute_error
0.102826
relative_absolute_error
0.346001
relative_absolute_error
0.2785
relative_absolute_error
0.250383
relative_absolute_error
0.132591
relative_absolute_error
0.279834
relative_absolute_error
0.296255
relative_absolute_error
0.250902
relative_absolute_error
0.313539
relative_absolute_error
0.25712
relative_absolute_error
0.497456
relative_absolute_error
0.343633
relative_absolute_error
0.227652
relative_absolute_error
0.392457
relative_absolute_error
0.535677
relative_absolute_error
0.401515
relative_absolute_error
0.330922
relative_absolute_error
0.152135
relative_absolute_error
0.417822
relative_absolute_error
0.45954
relative_absolute_error
0.397749
relative_absolute_error
0.49952
relative_absolute_error
0.173115
relative_absolute_error
0.248295
relative_absolute_error
0.298617
relative_absolute_error
0.258959
relative_absolute_error
0.263786
relative_absolute_error
0.353129
relative_absolute_error
0.220393
relative_absolute_error
0.175821
relative_absolute_error
0.254949
relative_absolute_error
0.08289
relative_absolute_error
0.563791
relative_absolute_error
0.225565
relative_absolute_error
0.445033
relative_absolute_error
0.554685
relative_absolute_error
0.262755
relative_absolute_error
0.435491
relative_absolute_error
0.297559
relative_absolute_error
0.437334
relative_absolute_error
0.42693
relative_absolute_error
0.464829
relative_absolute_error
0.232519
relative_absolute_error
0.382004
relative_absolute_error
0.148807
relative_absolute_error
0.207749
relative_absolute_error
0.426041
relative_absolute_error
0.148645
relative_absolute_error
0.224203
relative_absolute_error
0.250033
relative_absolute_error
0.174723
relative_absolute_error
0.361183
relative_absolute_error
0.265923
relative_absolute_error
0.471341
relative_absolute_error
0.397922
relative_absolute_error
0.335557
relative_absolute_error
0.223444
relative_absolute_error
0.247901
relative_absolute_error
0.270755
relative_absolute_error
0.113255
relative_absolute_error
0.390421
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
0.269433
root_mean_squared_error
0.243017
root_mean_squared_error
0.294097
root_mean_squared_error
0.16
root_mean_squared_error
0.231517
root_mean_squared_error
0.230551
root_mean_squared_error
0.273845
root_mean_squared_error
0.275103
root_mean_squared_error
0.145359
root_mean_squared_error
0.258166
root_mean_squared_error
0.28943
root_mean_squared_error
0.302092
root_mean_squared_error
0.235989
root_mean_squared_error
0.231515
root_mean_squared_error
0.25377
root_mean_squared_error
0.270635
root_mean_squared_error
0.247708
root_mean_squared_error
0.227298
root_mean_squared_error
0.246832
root_mean_squared_error
0.256129
root_mean_squared_error
0.237126
root_mean_squared_error
0.212807
root_mean_squared_error
0.206966
root_mean_squared_error
0.256714
root_mean_squared_error
0.293886
root_mean_squared_error
0.320893
root_mean_squared_error
0.172543
root_mean_squared_error
0.250542
root_mean_squared_error
0.176099
root_mean_squared_error
0.211056
root_mean_squared_error
0.26726
root_mean_squared_error
0.26605
root_mean_squared_error
0.25314
root_mean_squared_error
0.205582
root_mean_squared_error
0.264765
root_mean_squared_error
0.337419
root_mean_squared_error
0.288672
root_mean_squared_error
0.306435
root_mean_squared_error
0.32306
root_mean_squared_error
0.127202
root_mean_squared_error
0.249185
root_mean_squared_error
0.218351
root_mean_squared_error
0.226012
root_mean_squared_error
0.16499
root_mean_squared_error
0.209347
root_mean_squared_error
0.22492
root_mean_squared_error
0.219703
root_mean_squared_error
0.245435
root_mean_squared_error
0.197275
root_mean_squared_error
0.317304
root_mean_squared_error
0.253887
root_mean_squared_error
0.192719
root_mean_squared_error
0.269046
root_mean_squared_error
0.318577
root_mean_squared_error
0.2663
root_mean_squared_error
0.242612
root_mean_squared_error
0.144176
root_mean_squared_error
0.269773
root_mean_squared_error
0.309284
root_mean_squared_error
0.28408
root_mean_squared_error
0.306176
root_mean_squared_error
0.160745
root_mean_squared_error
0.190079
root_mean_squared_error
0.226906
root_mean_squared_error
0.187592
root_mean_squared_error
0.209911
root_mean_squared_error
0.258982
root_mean_squared_error
0.196933
root_mean_squared_error
0.166074
root_mean_squared_error
0.198816
root_mean_squared_error
0.103589
root_mean_squared_error
0.319865
root_mean_squared_error
0.191549
root_mean_squared_error
0.280372
root_mean_squared_error
0.330144
root_mean_squared_error
0.224705
root_mean_squared_error
0.27955
root_mean_squared_error
0.221431
root_mean_squared_error
0.2787
root_mean_squared_error
0.279397
root_mean_squared_error
0.301866
root_mean_squared_error
0.212151
root_mean_squared_error
0.252101
root_mean_squared_error
0.166251
root_mean_squared_error
0.184585
root_mean_squared_error
0.275922
root_mean_squared_error
0.170429
root_mean_squared_error
0.181588
root_mean_squared_error
0.204549
root_mean_squared_error
0.168508
root_mean_squared_error
0.259372
root_mean_squared_error
0.235779
root_mean_squared_error
0.301677
root_mean_squared_error
0.281921
root_mean_squared_error
0.230432
root_mean_squared_error
0.203695
root_mean_squared_error
0.208912
root_mean_squared_error
0.224123
root_mean_squared_error
0.130298
root_mean_squared_error
0.26827
root_relative_squared_error
0.81057
root_relative_squared_error
0.732804
root_relative_squared_error
0.893107
root_relative_squared_error
0.481348
root_relative_squared_error
0.704109
root_relative_squared_error
0.700132
root_relative_squared_error
0.830379
root_relative_squared_error
0.836665
root_relative_squared_error
0.442079
root_relative_squared_error
0.783992
root_relative_squared_error
0.878936
root_relative_squared_error
0.900491
root_relative_squared_error
0.716647
root_relative_squared_error
0.696496
root_relative_squared_error
0.76456
root_relative_squared_error
0.821859
root_relative_squared_error
0.743484
root_relative_squared_error
0.685803
root_relative_squared_error
0.741931
root_relative_squared_error
0.777808
root_relative_squared_error
0.71504
root_relative_squared_error
0.634345
root_relative_squared_error
0.619234
root_relative_squared_error
0.768079
root_relative_squared_error
0.878034
root_relative_squared_error
0.967632
root_relative_squared_error
0.51506
root_relative_squared_error
0.749613
root_relative_squared_error
0.524926
root_relative_squared_error
0.636426
root_relative_squared_error
0.805905
root_relative_squared_error
0.799694
root_relative_squared_error
0.757385
root_relative_squared_error
0.615092
root_relative_squared_error
0.792165
root_relative_squared_error
1.008097
root_relative_squared_error
0.860487
root_relative_squared_error
0.91684
root_relative_squared_error
0.962992
root_relative_squared_error
0.383569
root_relative_squared_error
0.751403
root_relative_squared_error
0.658807
root_relative_squared_error
0.675249
root_relative_squared_error
0.491809
root_relative_squared_error
0.626359
root_relative_squared_error
0.671986
root_relative_squared_error
0.657342
root_relative_squared_error
0.734332
root_relative_squared_error
0.59024
root_relative_squared_error
0.950726
root_relative_squared_error
0.769634
root_relative_squared_error
0.584207
root_relative_squared_error
0.814327
root_relative_squared_error
0.961871
root_relative_squared_error
0.807263
root_relative_squared_error
0.735454
root_relative_squared_error
0.437055
root_relative_squared_error
0.817791
root_relative_squared_error
0.937563
root_relative_squared_error
0.851978
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