249080
2
Joaquin Vanschoren
4238
Supervised Classification
predictive_accuracy
1154
weka.NaiveBayes(10)
1913
weka.classifiers.bayes.NaiveBayes
weka
weka_3.7.12
398
wap.wc
https://www.openml.org/data/download/52510/wap.wc.arff
-1
828589
description
https://api.openml.org/data/download/828589/weka_generated_run896201978772106344.xml
-1
828592
model_readable
https://api.openml.org/data/download/828592/WekaModel_weka.classifiers.bayes.NaiveBayes7398342641162593665.model
-1
828591
model_serialized
https://api.openml.org/data/download/828591/WekaSerialized_weka.classifiers.bayes.NaiveBayes1526125094964467894.model
-1
828590
predictions
https://api.openml.org/data/download/828590/weka_generated_predictions9144906439479629752.arff
area_under_roc_curve
0.858416 [0.601294,0.864112,0.649073,0.797091,0.499164,0.731541,0.992984,0.701734,0.641553,0.694911,0.845187,0.942176,0.81374,0.947232,0.937956,0.991718,0.683835,0.735883,0.806368,0.858513]
average_cost
0
f_measure
0.725147 [0.251046,0.779257,0.297059,0.659184,0,0.571694,0.992031,0.454902,0.329114,0.506024,0.678419,0.556311,0.618241,0.872024,0.713365,0.99012,0.477612,0.575707,0.666391,0.610501]
kappa
0.698316
kb_relative_information_score
10622.333649
mean_absolute_error
0.027173
mean_prior_absolute_error
0.089924
number_of_instances
15600 [150,760,330,540,50,1960,3410,440,180,110,910,400,1680,650,910,970,130,370,1300,350]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.746135 [0.337079,0.833583,0.288571,0.734091,0,0.727344,0.998515,0.535385,0.382353,0.75,0.660083,0.3987,0.564065,0.84438,0.585745,0.998951,0.676056,0.748918,0.720286,0.533049]
predictive_accuracy
0.728141
prior_entropy
3.738083
recall
0.728141 [0.2,0.731579,0.306061,0.598148,0,0.470918,0.98563,0.395455,0.288889,0.381818,0.697802,0.92,0.683929,0.901538,0.912088,0.981443,0.369231,0.467568,0.62,0.714286]
relative_absolute_error
0.30218
root_mean_prior_squared_error
0.211967
root_mean_squared_error
0.164514
root_relative_squared_error
0.77613
scimark_benchmark
1340.1351 [809.3924190983307, 978.3981016426347, 522.7565120974215, 1079.225957073861, 3310.9025080181104]
total_cost
0
usercpu_time_millis
115010
usercpu_time_millis_testing
108740
usercpu_time_millis_training
6270
area_under_roc_curve
0.856721 [0.5,0.857143,0.615132,0.796689,0.496774,0.738971,1,0.698013,0.493548,0.5,0.886301,0.976974,0.841964,0.853787,0.933862,1,0.5,0.746711,0.835664,0.656863]
area_under_roc_curve
0.861763 [0.5,0.934122,0.663399,0.593377,0.0,0.693815,1,0.745888,0.746753,1,0.986395,0.865132,0.811161,0.913333,0.925685,1,1,0.75,0.793706,0.743421]
area_under_roc_curve
0.850551 [0.493506,0.809122,0.609375,0.6,0.0,0.753746,1,0.796689,0.487013,1,0.808012,0.986842,0.795536,0.989933,0.929452,1,0.5,0.496732,0.797472,0.993464]
area_under_roc_curve
0.877619 [0.493506,0.930743,0.5,0.892715,0.5,0.740809,1,0.618421,0.996774,0.996774,0.936886,0.858553,0.863521,0.916667,0.982877,1,0.5,0.833333,0.797203,0.996732]
area_under_roc_curve
0.850418 [0.496753,0.785714,0.656863,0.783444,0.496774,0.732808,1,0.792053,0.493548,1,0.831849,0.861842,0.76386,0.92186,0.927438,1,1,0.871711,0.760624,0.870888]
area_under_roc_curve
0.877288 [0.5,0.75,0.815904,0.796689,0.0,0.694118,1,0.790066,0.993548,1,0.833333,0.993421,0.877679,0.993289,0.924036,1,0.5,0.743421,0.873319,0.996711]
area_under_roc_curve
0.844029 [0.5,0.933699,0.496711,0.8,0.0,0.702941,1,0.620888,0.5,0.5,0.817082,0.986842,0.68817,1,0.979452,1,0.5,0.493464,0.817106,0.990132]
area_under_roc_curve
0.873342 [0.75,0.933699,0.486928,0.9,0.0,0.768382,1,0.615132,0.746753,1,0.764172,0.864309,0.875793,1,0.930083,1,0.5,0.663399,0.842388,0.738487]
area_under_roc_curve
0.873356 [0.5,0.802365,0.657952,0.896026,0.0,0.81875,1,0.621711,0.746753,0.5,0.837671,0.976974,0.826703,0.853787,0.937642,1,0.5,0.741776,0.869554,0.830065]
area_under_roc_curve
0.836087 [0.493548,0.809122,0.80719,0.83,0.0,0.650211,1,0.75,0.5,0.5,0.825397,0.858553,0.842785,0.906667,0.924036,1,0.75,0.621711,0.753631,0.619243]
area_under_roc_curve
0.860886 [0.5,0.996622,0.493421,0.790066,0.0,0.721324,0.985714,0.738487,0.5,0.5,0.828798,0.864309,0.791071,1,0.965986,1,0.5,0.666667,0.833513,0.979441]
area_under_roc_curve
0.850085 [0.5,0.8125,0.647059,0.7,0.5,0.686765,1,0.743421,0.743506,0.5,0.789726,0.973684,0.882988,1,0.925548,1,0.5,0.621711,0.762238,0.986842]
area_under_roc_curve
0.843522 [0.496774,0.809122,0.810458,0.693377,0.0,0.727622,0.985294,0.858553,0.5,1,0.788356,0.986842,0.831358,0.906667,0.910431,0.95,0.5,0.746711,0.644432,1]
area_under_roc_curve
0.876005 [0.5,0.934122,0.816993,0.897351,0.0,0.676287,0.985714,0.875,0.496774,0.75,0.768707,0.980263,0.886585,0.853787,0.93424,1,0.5,0.833333,0.918505,0.828976]
area_under_roc_curve
0.858947 [0.496774,0.92186,0.649237,0.896026,0.5,0.722426,0.985294,0.590728,0.493506,1,0.930839,0.990132,0.750317,1,0.93424,1,0.5,0.746711,0.790748,0.986928]
area_under_roc_curve
0.869087 [0.5,0.924736,0.657952,0.893377,0.0,0.825735,1,0.616776,0.5,0.5,0.710128,0.980263,0.859077,0.928571,0.982993,1,0.5,0.625,0.881119,0.615954]
area_under_roc_curve
0.866182 [0.5,0.875,0.490132,0.8,0.0,0.755699,1,0.693377,0.496774,1,0.878685,0.976974,0.75692,1,0.982993,1,1,0.663399,0.837547,0.858553]
area_under_roc_curve
0.857862 [0.75,0.8125,0.486928,0.899338,0.0,0.746324,1,0.871711,0.496774,1,0.763416,0.970395,0.76386,1,0.986395,1,0.996774,0.619243,0.723776,0.865132]
area_under_roc_curve
0.866041 [0.5,0.805743,0.619243,0.694702,0.0,0.790074,1,0.59404,0.75,0.5,0.766062,0.973684,0.875159,0.916667,0.933862,1,0.5,0.745888,0.876815,0.993464]
area_under_roc_curve
0.854079 [0.75,0.870777,0.496732,0.833333,0.0,0.655699,1,0.875,0.748377,0.496774,0.705215,0.981908,0.837495,0.916667,0.873772,1,1,0.666667,0.871974,0.820261]
area_under_roc_curve
0.913512 [1,0.9375,0.651416,0.896689,0.0,0.808088,1,0.743421,0.75,0.75,0.888133,0.996711,0.893779,1,0.930839,1,0.75,0.996732,0.916084,0.870888]
area_under_roc_curve
0.881974 [1,0.993243,0.496711,1,0.5,0.752941,0.985294,0.875,0.75,0.5,0.820862,0.983553,0.865425,0.996667,0.930839,1,1,0.5,0.864174,0.867599]
area_under_roc_curve
0.839743 [1,0.805743,0.660131,0.796689,0.0,0.685294,0.985294,0.618421,0.496753,1,0.882086,0.845395,0.743123,0.993333,0.930839,1,0.741883,0.5,0.783217,0.990132]
area_under_roc_curve
0.841527 [0.996774,0.8125,0.496732,0.793377,0.0,0.657904,0.985294,0.620888,0.5,0.5,0.935752,0.983553,0.818874,0.989933,0.929705,1,1,0.75,0.705756,0.733553]
area_under_roc_curve
0.836538 [1,0.782359,0.486928,0.693377,0.5,0.730147,1,0.6,0.5,1,0.826531,0.970395,0.774651,0.928571,0.906652,1,1,0.618421,0.723776,0.986928]
area_under_roc_curve
0.824596 [0.75,0.925216,0.621711,0.746667,0.0,0.684559,0.995902,0.620888,0.496753,0.5,0.762661,0.976974,0.702708,0.857143,0.962585,1,0.5,0.748355,0.718397,0.98366]
area_under_roc_curve
0.857613 [0.496753,0.8125,0.820261,0.790066,0.0,0.75413,0.985294,0.596689,0.493506,1,0.93424,0.980263,0.743335,0.993289,0.920257,0.944444,0.5,0.996711,0.762238,0.996711]
area_under_roc_curve
0.867053 [0.5,0.805743,0.996732,0.826667,0.0,0.717279,0.985294,0.867599,0.496774,0.5,0.829554,0.847862,0.889547,0.856184,0.969388,1,0.5,0.625,0.835664,0.996732]
area_under_roc_curve
0.850279 [0.496774,0.934122,0.493421,0.896689,0.0,0.742647,1,0.590066,0.493506,0.496774,0.760771,0.996711,0.801947,0.996667,0.910431,1,0.5,0.75,0.793706,0.823529]
area_under_roc_curve
0.82148 [0.49026,0.743243,0.741776,0.798675,0.0,0.632721,0.970588,0.621711,0.75,0.5,0.811791,0.855263,0.824799,0.906667,0.907029,1,0.75,0.830065,0.67617,0.996732]
area_under_roc_curve
0.852121 [0.496774,0.9375,0.660131,0.912778,0.0,0.690441,0.985294,0.5,0.746753,0.5,0.819728,0.848684,0.780364,0.996667,0.926027,1,0.5,0.833333,0.800699,0.996711]
area_under_roc_curve
0.872455 [0.5,1,0.490132,0.832222,0.496774,0.762316,1,0.745888,0.75,1,0.705215,0.986842,0.739526,1,0.97619,1,1,0.748355,0.906939,0.996711]
area_under_roc_curve
0.86163 [0.496774,0.805743,0.5,0.796689,0.0,0.804412,1,0.625,1,0.5,0.826531,0.861842,0.792213,0.91,0.982993,0.95,0.5,0.746711,0.832168,0.983553]
area_under_roc_curve
0.845526 [0.996774,0.809122,0.651416,0.798675,0.0,0.657169,1,0.746711,0.746753,0.5,0.770975,0.865954,0.755184,0.996644,0.920257,1,0.5,0.744243,0.802851,0.986842]
area_under_roc_curve
0.875293 [1,0.871622,0.875,0.9,0.0,0.685294,1,0.738487,0.5,0.5,0.833333,0.858553,0.882353,0.996667,0.922603,1,0.5,0.875,0.828671,0.833333]
area_under_roc_curve
0.863295 [0.75,0.853787,0.611842,0.912222,0.0,0.650211,1,0.621711,0.5,1,0.88133,0.851974,0.878121,0.928571,0.927438,1,0.5,0.746711,0.835664,0.990196]
area_under_roc_curve
0.859078 [1,0.8125,0.486928,0.694702,0.0,0.759124,1,0.793377,0.496753,0.5,0.878685,0.986842,0.800466,0.850431,0.993197,1,1,0.746711,0.7617,0.863487]
area_under_roc_curve
0.869061 [0.5,0.925216,0.615954,0.66,0.0,0.737132,0.985294,0.892053,0.5,1,0.93424,0.986842,0.791155,0.996667,0.923658,0.944444,0.5,0.875,0.915008,0.825708]
area_under_roc_curve
0.845176 [0.5,0.875,0.740132,0.790066,0.0,0.634559,0.995902,0.7,0.75,0.496774,0.824263,0.986842,0.824587,0.996667,0.917234,0.95,0.5,0.830065,0.755245,0.986928]
area_under_roc_curve
0.853791 [0.5,0.8125,0.86102,0.890066,0.0,0.71636,1,0.621711,0.746753,1,0.878685,0.970395,0.651291,0.993333,0.982877,0.95,0.496774,0.496732,0.87574,0.989107]
area_under_roc_curve
0.858954 [0.493548,0.874155,0.493464,0.826667,0.0,0.613971,1,0.868421,1,1,0.88133,0.983553,0.844266,0.996667,0.927438,1,0.75,0.746711,0.753631,0.871711]
area_under_roc_curve
0.855275 [0.5,0.856184,0.746711,0.83,0.5,0.754963,0.985294,0.698013,0.496753,0.496774,0.75737,0.983553,0.787558,1,0.986395,1,0.496774,0.826797,0.762238,0.993464]
area_under_roc_curve
0.868731 [0.5,0.918504,0.486928,0.996667,0.0,0.758824,1,0.625,0.5,1,0.88133,0.847862,0.847228,0.913333,0.993197,1,0.75,0.625,0.834857,0.619243]
area_under_roc_curve
0.887572 [0.5,0.934122,0.993464,0.913333,0.0,0.696504,0.985294,0.493421,0.74513,0.5,0.989796,0.986842,0.838553,0.996644,0.920257,1,0.5,0.875,0.884615,0.865132]
area_under_roc_curve
0.879318 [0.496774,0.993243,0.866776,0.83,0.0,0.634926,1,0.743421,0.75,0.5,0.939909,0.993421,0.882988,0.996667,0.986395,1,1,0.5,0.834588,0.820261]
area_under_roc_curve
0.828321 [0.5,0.782359,0.618421,0.655556,0.5,0.691318,1,0.496711,0.496753,1,0.835274,0.973684,0.839187,0.906667,0.982993,1,0.748377,0.621711,0.65035,0.993464]
area_under_roc_curve
0.837188 [0.743506,0.809122,0.660131,0.790066,0.0,0.595851,1,0.593377,0.496753,0.496774,0.937642,0.602796,0.743123,1,0.965986,1,0.996774,0.745066,0.908553,0.741776]
area_under_roc_curve
0.861698 [0.496753,0.928092,0.743421,0.833333,0.0,0.759559,1,0.796689,0.5,0.5,0.833333,0.983553,0.781634,0.993333,0.910053,1,0.5,0.75,0.76412,0.993464]
area_under_roc_curve
0.875989 [0.75,0.746622,0.496732,0.8,0.0,0.783824,0.970588,0.596689,0.5,0.75,0.940665,0.986842,0.938849,0.986667,0.986395,1,0.996774,0.666667,0.839161,0.738487]
area_under_roc_curve
0.866802 [0.5,0.871622,0.618421,0.693377,0.0,0.792279,1,0.741776,0.5,0.5,0.883976,0.976974,0.813373,0.916667,0.878685,1,0.5,0.75,0.881119,0.980392]
area_under_roc_curve
0.853656 [0.73539,0.930743,0.656863,0.83,0.0,0.682353,1,0.996711,0.75,0.496774,0.815193,0.996711,0.714346,0.996667,0.930839,1,1,0.75,0.75901,0.745066]
area_under_roc_curve
0.865933 [0.496774,0.782359,0.663399,0.746667,0.5,0.760478,0.985294,0.896026,0.746753,0.5,0.930839,0.980263,0.848286,1,0.930461,1,0.5,0.663399,0.760624,0.828976]
area_under_roc_curve
0.879577 [0.5,0.928571,0.493464,0.832222,0.5,0.688971,1,0.743421,0.746753,0.5,0.873772,0.983553,0.849132,1,0.986395,1,1,1,0.877622,0.743421]
area_under_roc_curve
0.859958 [1,0.857143,0.660131,0.666667,0.0,0.81214,0.995902,0.743421,0.496753,0.5,0.843151,0.844572,0.853576,0.996644,0.868481,1,1,0.619243,0.758741,0.740132]
area_under_roc_curve
0.873591 [0.5,0.934122,0.621711,0.83,0.0,0.813419,0.985294,0.748355,0.74513,0.5,0.933862,0.976974,0.794541,0.83,0.983371,0.95,0.996774,0.621711,0.804196,1]
area_under_roc_curve
0.860254 [0.496774,0.677365,0.493464,0.746667,0.5,0.830004,1,0.618421,0.74513,1,0.882086,0.855263,0.803005,0.913333,0.933862,1,1,0.746711,0.862829,0.663399]
area_under_roc_curve
0.875342 [0.5,0.918504,0.831155,0.746667,0.496774,0.781022,1,0.625,0.996753,0.5,0.651927,0.993421,0.927,0.91,0.930083,1,0.75,0.75,0.801237,0.991285]
area_under_roc_curve
0.855681 [0.493548,0.996165,0.611842,0.75,0.496774,0.758824,0.970347,0.8,0.5,0.5,0.774376,0.990132,0.795176,0.91,0.97619,1,0.5,0.75,0.905056,0.649237]
area_under_roc_curve
0.868694 [0.75,0.875,0.663399,0.893377,0.5,0.70625,0.970588,0.990132,0.493548,0.5,0.833333,0.976974,0.884046,0.913333,0.969178,1,0.5,0.833333,0.760624,0.870888]
area_under_roc_curve
0.856603 [0.5,0.809122,0.490196,0.693377,0.496774,0.791176,0.970588,0.618421,0.990323,1,0.766062,0.983553,0.788616,0.853787,0.97619,1,0.5,0.871711,0.88085,1]
area_under_roc_curve
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kappa
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kappa
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kappa
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kappa
0.631323
kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
0.730668
kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
0.665968
kappa
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kappa
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kappa
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kappa
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kappa
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kb_relative_information_score
104.353124
kb_relative_information_score
108.850781
kb_relative_information_score
101.55065
kb_relative_information_score
112.396802
kb_relative_information_score
104.235468
kb_relative_information_score
113.206197
kb_relative_information_score
101.062331
kb_relative_information_score
108.979441
kb_relative_information_score
107.599003
kb_relative_information_score
99.377623
kb_relative_information_score
106.571061
kb_relative_information_score
103.709883
kb_relative_information_score
102.870552
kb_relative_information_score
110.883605
kb_relative_information_score
104.937566
kb_relative_information_score
105.173576
kb_relative_information_score
109.785819
kb_relative_information_score
107.95191
kb_relative_information_score
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156 [1,8,3,5,1,19,35,4,2,1,9,4,16,6,9,10,2,4,13,4]
number_of_instances
156 [2,7,3,6,1,19,34,4,2,1,9,4,16,7,9,9,2,4,13,4]
number_of_instances
156 [1,7,3,5,1,19,35,5,2,1,9,4,17,7,9,9,1,4,13,4]
number_of_instances
156 [2,7,3,5,1,19,34,5,2,1,9,4,17,7,9,10,1,4,13,3]
number_of_instances
156 [2,8,3,5,0,19,34,4,2,1,9,4,17,7,9,10,2,4,13,3]
number_of_instances
156 [2,8,4,5,1,19,34,5,2,1,9,4,17,7,9,9,1,3,13,3]
number_of_instances
156 [2,7,4,5,1,20,34,5,2,1,9,4,16,6,9,9,2,4,13,3]
number_of_instances
156 [2,8,3,5,1,19,34,4,2,1,9,4,17,7,9,9,2,3,13,4]
number_of_instances
156 [1,8,3,5,1,20,34,5,2,1,9,4,17,6,9,10,1,3,13,4]
number_of_instances
156 [1,7,3,6,1,20,34,4,2,2,9,4,17,6,9,10,1,4,13,3]
number_of_instances
156 [1,8,3,5,1,19,34,4,2,1,9,4,16,7,10,10,2,3,13,4]
number_of_instances
156 [1,7,3,6,1,19,34,4,2,1,9,4,17,7,9,9,2,4,13,4]
number_of_instances
156 [1,7,3,6,1,19,34,5,2,1,10,4,16,7,9,9,1,4,13,4]
number_of_instances
156 [2,7,4,5,1,19,34,5,1,1,9,4,17,7,9,10,1,4,13,3]
number_of_instances
156 [2,8,3,5,0,19,34,4,2,2,9,4,16,7,9,10,1,4,13,4]
number_of_instances
156 [2,8,4,5,1,19,35,5,2,1,9,4,16,7,9,9,1,3,13,3]
number_of_instances
156 [2,8,4,5,1,20,34,5,2,1,9,4,16,6,9,9,2,3,13,3]
number_of_instances
156 [2,7,3,5,1,19,34,5,1,1,9,4,17,7,9,9,2,4,13,4]
number_of_instances
156 [2,8,3,5,0,20,34,5,1,2,9,4,16,7,9,10,1,3,13,4]
number_of_instances
156 [1,8,4,5,1,20,34,4,2,1,10,4,17,6,9,10,1,3,13,3]
number_of_instances
156 [1,8,3,5,1,19,34,4,2,2,9,4,17,7,9,10,1,3,13,4]
number_of_instances
156 [1,7,3,6,1,19,35,4,2,1,9,4,17,7,9,10,1,4,13,3]
number_of_instances
156 [1,7,3,6,1,19,34,5,2,1,9,4,16,7,9,10,1,4,13,4]
precision
0.749115 [0,1,0.25,0.75,0,0.769231,1,0.666667,0,0,0.666667,0.363636,0.545455,0.833333,0.727273,1,0,0.666667,0.75,0.25]
precision
0.743299 [0,0.875,0.5,0.333333,0,0.666667,1,0.666667,0.5,1,0.692308,0.5,0.578947,0.833333,0.529412,1,1,1,0.666667,0.5]
precision
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precision
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precision
0.747081 [0,1,0.25,0.375,0,0.875,1,0.5,0,1,0.583333,0.428571,0.526316,0.75,0.615385,1,1,0.75,0.777778,0.6]
precision
0.799201 [0,1,0.25,0.75,0,0.888889,1,0.5,0.333333,1,1,0.666667,0.619048,0.7,0.571429,1,0,0.5,0.75,0.8]
precision
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precision
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precision
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precision
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precision
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precision
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precision
0.738539 [0,0.833333,0.25,0.5,0,0.818182,1,0.333333,0,1,0.6,0.5,0.666667,0.625,0.444444,1,0,0.666667,0.666667,1]
precision
0.78493 [0,0.875,0.285714,0.75,0,0.571429,1,1,0,1,0.714286,0.363636,0.666667,0.833333,0.727273,1,0,1,0.909091,0.666667]
precision
0.71458 [0,0.75,0,0.8,0,0.555556,1,0.25,0,1,0.636364,0.571429,0.692308,1,0.727273,1,0,0.666667,0.583333,0.428571]
precision
0.732189 [0,0.75,0.25,0.666667,0,0.684211,1,0,0,0,0.571429,0.4,0.619048,1,0.642857,1,0,1,0.909091,0.333333]
precision
0.762991 [0,1,0,1,0,0.6875,1,0.5,0,1,0.7,0.363636,0.6,1,0.642857,1,1,0.5,0.818182,0.375]
precision
0.802071 [1,1,0,1,0,1,1,0.75,0,1,0.5,0.285714,0.555556,1,0.642857,1,0.5,0.5,0.75,0.5]
precision
0.755973 [0,0.714286,0.5,0.666667,0,0.8,1,0.5,1,0,0.555556,0.307692,0.56,1,0.666667,1,0,0.5,0.833333,0.6]
precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
0.697085 [0.333333,0.833333,0.333333,0.5,0,0.571429,1,0.333333,0,0,0.8,0.142857,0.6,1,0.45,1,0.5,0.5,0.733333,0.333333]
precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
0.753648 [0,0.714286,0.2,1,0,0.888889,1,0.571429,0.333333,0,0.7,0.5,0.434783,0.857143,0.818182,1,0.5,0.5,0.727273,0.75]
precision
0.724924 [1,0.875,0,1,0,0.777778,1,0,0,1,0.75,0.428571,0.461538,0.833333,0.666667,1,0,0.5,0.666667,0.5]
precision
0.761927 [0,0.833333,0.333333,0.833333,0,0.875,1,0.5,0.5,0,0.777778,0.4,0.454545,1,0.8,1,1,0.5,0.615385,0.5]
precision
0.713966 [0,0.636364,0.333333,0.75,0,0.615385,1,0.5,0,1,0.583333,1,0.666667,0.857143,0.461538,1,0,0,0.818182,0.2]
precision
0.772085 [0.333333,0.857143,0.5,0.5,0,0.75,1,1,0.5,0,0.6,0.5,0.47619,1,0.75,1,1,0.666667,0.714286,0.8]
precision
0.75647 [0,1,0.5,1,0,0.8,1,0.4,0.5,1,0.727273,0.375,0.565217,0.75,0.615385,0.9,0.5,1,0.5,0.666667]
precision
0.768422 [0.5,0.714286,0,1,0,0.75,1,0.333333,0,0,0.9,0.5,0.565217,0.75,0.818182,1,0,1,0.8,0.6]
precision
0.715065 [0,0.571429,0.285714,0.5,0,0.611111,1,0,0.5,0,0.545455,0.4,0.6,1,0.727273,1,0.5,0.666667,0.875,1]
precision
0.718163 [0,0.875,0,0.6,0,0.857143,1,0,0,1,0.545455,0.3,0.413793,0.875,0.571429,1,0,1,0.75,0.5]
precision
0.76437 [1,1,0.5,0.75,0,0.692308,1,1,0,0,0.583333,0.363636,0.6,1,0.583333,1,1,1,0.583333,0.4]
precision
0.709557 [0.333333,0.833333,0.333333,1,0,0.571429,1,0.75,0.5,1,0.5,0.4,0.473684,1,0.444444,1,0.5,0.5,0.666667,0.666667]
precision
0.707211 [0,0.75,0.333333,0.666667,0,0.769231,1,0,0.5,0,0.6,0.333333,0.45,1,0.571429,1,0,1,0.7,0.75]
precision
0.727086 [0,0.875,0.25,0.666667,0,0.714286,1,0.333333,0,0,0.615385,0.5,0.5,0.875,0.583333,1,0,1,0.857143,0.333333]
precision
0.782905 [0,0.8,0.333333,0.666667,0,0.75,1,1,0.666667,1,0.857143,0.285714,0.625,1,0.636364,1,0,1,0.666667,0.666667]
precision
0.710805 [0,0.857143,0.2,0.666667,0,0.727273,1,0,0,0,0.538462,0.363636,0.5,1,0.571429,1,0,0.5,0.833333,0.75]
precision
0.777607 [0,0.833333,1,1,0,0.75,1,0.666667,0,0,0.545455,0.4,0.625,0.75,0.411765,1,1,0.666667,1,0.6]
precision
0.737638 [0,0.857143,0.333333,1,0,0.615385,1,0.666667,0.5,0,0.5,0.333333,0.5,1,0.5625,1,1,0.75,0.75,0.6]
predictive_accuracy
0.730769
predictive_accuracy
0.74359
predictive_accuracy
0.705128
predictive_accuracy
0.769231
predictive_accuracy
0.705128
predictive_accuracy
0.75641
predictive_accuracy
0.705128
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.692308
predictive_accuracy
0.737179
predictive_accuracy
0.717949
predictive_accuracy
0.698718
predictive_accuracy
0.75641
predictive_accuracy
0.717949
predictive_accuracy
0.74359
predictive_accuracy
0.75
predictive_accuracy
0.730769
predictive_accuracy
0.737179
predictive_accuracy
0.717949
predictive_accuracy
0.833333
predictive_accuracy
0.775641
predictive_accuracy
0.692308
predictive_accuracy
0.679487
predictive_accuracy
0.685897
predictive_accuracy
0.673077
predictive_accuracy
0.730769
predictive_accuracy
0.74359
predictive_accuracy
0.717949
predictive_accuracy
0.666667
predictive_accuracy
0.724359
predictive_accuracy
0.75641
predictive_accuracy
0.74359
predictive_accuracy
0.711538
predictive_accuracy
0.769231
predictive_accuracy
0.74359
predictive_accuracy
0.724359
predictive_accuracy
0.75
predictive_accuracy
0.705128
predictive_accuracy
0.705128
predictive_accuracy
0.724359
predictive_accuracy
0.730769
predictive_accuracy
0.75641
predictive_accuracy
0.788462
predictive_accuracy
0.769231
predictive_accuracy
0.679487
predictive_accuracy
0.685897
predictive_accuracy
0.730769
predictive_accuracy
0.762821
predictive_accuracy
0.75
predictive_accuracy
0.711538
predictive_accuracy
0.737179
predictive_accuracy
0.775641
predictive_accuracy
0.737179
predictive_accuracy
0.75641
predictive_accuracy
0.737179
predictive_accuracy
0.75641
predictive_accuracy
0.717949
predictive_accuracy
0.75
predictive_accuracy
0.724359
predictive_accuracy
0.685897
predictive_accuracy
0.647436
predictive_accuracy
0.775641
predictive_accuracy
0.698718
predictive_accuracy
0.692308
predictive_accuracy
0.74359
predictive_accuracy
0.705128
predictive_accuracy
0.679487
predictive_accuracy
0.724359
predictive_accuracy
0.737179
predictive_accuracy
0.730769
predictive_accuracy
0.769231
predictive_accuracy
0.769231
predictive_accuracy
0.673077
predictive_accuracy
0.75
predictive_accuracy
0.705128
predictive_accuracy
0.711538
predictive_accuracy
0.737179
predictive_accuracy
0.75641
predictive_accuracy
0.775641
predictive_accuracy
0.717949
predictive_accuracy
0.74359
predictive_accuracy
0.685897
predictive_accuracy
0.737179
predictive_accuracy
0.698718
predictive_accuracy
0.75
predictive_accuracy
0.717949
predictive_accuracy
0.75
predictive_accuracy
0.724359
predictive_accuracy
0.769231
predictive_accuracy
0.717949
predictive_accuracy
0.679487
predictive_accuracy
0.730769
predictive_accuracy
0.679487
predictive_accuracy
0.698718
predictive_accuracy
0.724359
predictive_accuracy
0.74359
predictive_accuracy
0.698718
predictive_accuracy
0.74359
predictive_accuracy
0.705128
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
recall
0.730769 [0,0.714286,0.25,0.6,0,0.5,1,0.4,0,0,0.8,1,0.75,0.714286,0.888889,1,0,0.5,0.692308,0.333333]
recall
0.74359 [0,0.875,0.333333,0.2,0,0.421053,1,0.5,0.5,1,1,0.75,0.6875,0.833333,0.9,1,1,0.5,0.615385,0.5]
recall
0.705128 [0,0.625,0.25,0.2,0,0.526316,1,0.6,0,1,0.444444,1,0.625,1,0.9,1,0,0,0.615385,1]
recall
0.769231 [0,0.875,0,0.8,0,0.5,1,0.25,1,1,0.888889,0.75,0.764706,0.833333,1,1,0,0.666667,0.615385,1]
recall
0.705128 [0,0.571429,0.333333,0.6,0,0.368421,1,0.6,0,1,0.7,0.75,0.588235,0.857143,0.888889,1,1,0.75,0.538462,0.75]
recall
0.75641 [0,0.5,0.666667,0.6,0,0.4,0.970588,0.6,1,1,0.666667,1,0.8125,1,0.888889,1,0,0.5,0.692308,1]
recall
0.705128 [0,0.875,0,0.6,0,0.45,1,0,0,0,0.666667,1,0.4375,1,1,1,0,0,0.692308,1]
recall
0.75 [0.5,0.875,0,0.8,0,0.5,1,0.25,0.5,1,0.555556,0.75,0.823529,1,0.888889,1,0,0.333333,0.615385,0.5]
recall
0.75 [0,0.625,0.333333,0.8,0,0.65,1,0.25,0.5,0,0.5,1,0.705882,0.714286,0.888889,1,0,0.5,0.769231,0.666667]
recall
0.692308 [0,0.625,0.666667,0.666667,0,0.315789,1,0.5,0,0,0.666667,0.75,0.764706,0.833333,0.888889,1,0.5,0.25,0.538462,0.25]
recall
0.737179 [0,1,0,0.6,0,0.45,0.971429,0.5,0,0,0.666667,0.75,0.625,1,1,1,0,0.333333,0.692308,1]
recall
0.717949 [0,0.625,0.333333,0.4,0,0.4,1,0.5,0.5,0,0.6,1,0.823529,1,0.888889,1,0,0.25,0.538462,1]
recall
0.698718 [0,0.625,0.666667,0.4,0,0.473684,0.970588,0.5,0,1,0.6,1,0.705882,0.833333,0.888889,0.9,0,0.5,0.307692,1]
recall
0.75641 [0,0.875,0.666667,0.6,0,0.4,0.971429,0.75,0,0.5,0.555556,1,0.823529,0.714286,0.888889,1,0,0.666667,0.769231,0.666667]
recall
0.717949 [0,0.857143,0,0.8,0,0.5,0.970588,0.2,0,1,0.777778,1,0.529412,1,0.888889,1,0,0.5,0.538462,1]
recall
0.74359 [0,0.857143,0.333333,0.8,0,0.65,1,0,0,0,0.444444,1,0.764706,0.857143,1,1,0,0.25,0.769231,0.25]
recall
0.75 [0,0.75,0,0.6,0,0.55,1,0.4,0,1,0.777778,1,0.5625,1,1,1,1,0.333333,0.692308,0.75]
recall
0.730769 [0.5,0.625,0,0.8,0,0.5,1,0.75,0,1,0.555556,1,0.588235,1,1,1,1,0.25,0.461538,0.75]
recall
0.737179 [0,0.625,0.25,0.4,0,0.6,1,0.2,0.5,0,0.555556,1,0.823529,0.833333,0.888889,0.9,0,0.25,0.769231,1]
recall
0.717949 [0.5,0.75,0,0.666667,0,0.3,1,0.75,0.5,0,0.444444,1,0.764706,0.833333,0.777778,1,1,0.333333,0.692308,0.666667]
recall
0.833333 [1,0.875,0.333333,0.8,0,0.6,1,0.5,0.5,0.5,0.777778,1,0.823529,1,0.888889,1,0.5,1,0.846154,0.75]
recall
0.775641 [1,1,0,1,0,0.55,0.970588,0.75,0.5,0,0.555556,1,0.764706,1,0.888889,1,1,0,0.769231,0.75]
recall
0.692308 [1,0.625,0.333333,0.6,0,0.35,0.970588,0.25,0,1,0.777778,0.75,0.529412,1,0.888889,1,0.5,0,0.615385,1]
recall
0.679487 [1,0.625,0,0.6,0,0.35,0.941176,0,0,0,0.777778,1,0.705882,1,0.888889,1,1,0.5,0.384615,0.5]
recall
0.685897 [1,0.571429,0,0.4,0,0.45,1,0.2,0,1,0.666667,1,0.588235,0.857143,0.888889,1,1,0.25,0.461538,1]
recall
0.673077 [0.5,0.857143,0.25,0.5,0,0.4,1,0.25,0,0,0.555556,1,0.470588,0.714286,1,1,0,0.5,0.461538,1]
recall
0.730769 [0,0.625,0.666667,0.6,0,0.526316,0.970588,0.2,0,1,0.888889,1,0.529412,1,0.888889,0.888889,0,1,0.538462,1]
recall
0.74359 [0,0.625,1,0.666667,0,0.4,0.970588,0.75,0,0,0.666667,0.75,0.823529,0.714286,1,1,0,0.25,0.692308,1]
recall
0.717949 [0,0.875,0,0.8,0,0.5,1,0.2,0,0,0.555556,1,0.647059,1,0.888889,1,0,0.5,0.615385,0.666667]
recall
0.666667 [0,0.5,0.5,0.6,0,0.3,0.941176,0.25,0.5,0,0.666667,0.75,0.705882,0.833333,0.888889,1,0.5,0.666667,0.384615,1]
recall
0.724359 [0,0.875,0.333333,0.833333,0,0.4,0.970588,0,0.5,0,0.666667,0.75,0.647059,1,0.9,1,0,0.666667,0.615385,1]
recall
0.75641 [0,1,0,0.666667,0,0.55,1,0.5,0.5,1,0.444444,1,0.529412,1,1,1,1,0.5,0.769231,1]
recall
0.74359 [0,0.625,0,0.6,0,0.65,1,0.25,1,0,0.666667,0.75,0.647059,0.833333,1,0.9,0,0.5,0.692308,1]
recall
0.711538 [1,0.625,0.333333,0.6,0,0.35,1,0.5,0.5,0,0.555556,0.75,0.588235,1,0.888889,1,0,0.5,0.615385,1]
recall
0.769231 [1,0.75,0.75,0.8,0,0.4,1,0.5,0,0,0.666667,0.75,0.823529,1,0.9,1,0,0.75,0.692308,0.666667]
recall
0.74359 [0.5,0.714286,0.25,0.833333,0,0.315789,1,0.25,0,1,0.777778,0.75,0.823529,0.857143,0.888889,1,0,0.5,0.692308,1]
recall
0.724359 [1,0.625,0,0.4,0,0.473684,1,0.6,0,0,0.777778,1,0.705882,0.714286,1,1,1,0.5,0.461538,0.75]
recall
0.75 [0,0.857143,0.25,0.333333,0,0.5,0.970588,0.6,0,1,0.888889,1,0.647059,1,0.888889,0.888889,0,0.75,0.846154,0.666667]
recall
0.705128 [0,0.75,0.5,0.6,0,0.25,1,0.4,0.5,0,0.666667,1,0.705882,1,0.888889,0.9,0,0.666667,0.538462,1]
recall
0.705128 [0,0.625,0.75,0.8,0,0.4,1,0.25,0.5,1,0.777778,1,0.352941,1,1,0.9,0,0,0.692308,0.666667]
recall
0.724359 [0,0.625,0,0.666667,0,0.25,1,0.75,1,1,0.777778,1,0.705882,1,0.888889,1,0.5,0.5,0.538462,0.75]
recall
0.730769 [0,0.714286,0.5,0.666667,0,0.55,0.970588,0.4,0,0,0.555556,1,0.647059,1,1,1,0,0.666667,0.538462,1]
recall
0.75641 [0,0.857143,0,1,0,0.55,1,0.25,0,1,0.777778,0.75,0.764706,0.833333,1,1,0.5,0.25,0.692308,0.25]
recall
0.788462 [0,0.875,1,0.833333,0,0.421053,0.970588,0,0.5,0,1,1,0.705882,1,0.888889,1,0,0.75,0.769231,0.75]
recall
0.769231 [0,1,0.5,0.666667,0,0.3,1,0.5,0.5,0,0.888889,1,0.823529,1,1,1,1,0,0.692308,0.666667]
recall
0.679487 [0,0.571429,0.25,0.333333,0,0.421053,1,0,0,1,0.7,1,0.764706,0.833333,1,1,0.5,0.25,0.307692,1]
recall
0.685897 [0.5,0.625,0.333333,0.6,0,0.210526,1,0.2,0,0,0.888889,0.25,0.529412,1,1,1,1,0.5,0.846154,0.25]
recall
0.730769 [0,0.857143,0.5,0.666667,0,0.5,1,0.6,0,0,0.666667,1,0.588235,1,0.888889,1,0,0.5,0.538462,1]
recall
0.762821 [0.5,0.5,0,0.6,0,0.55,0.941176,0.2,0,0.5,0.888889,1,0.941176,1,1,1,1,0.333333,0.692308,0.5]
recall
0.75 [0,0.75,0.25,0.4,0,0.6,1,0.5,0,0,0.777778,1,0.705882,0.833333,0.777778,1,0,0.5,0.769231,1]
recall
0.711538 [0.5,0.875,0.333333,0.666667,0,0.4,1,1,0.5,0,0.666667,1,0.411765,1,0.777778,1,1,0.5,0.538462,0.5]
recall
0.737179 [0,0.571429,0.333333,0.5,0,0.45,0.970588,0.8,0.5,0,0.888889,1,0.764706,1,0.888889,1,0,0.333333,0.538462,0.666667]
recall
0.775641 [0,0.857143,0,0.666667,0,0.4,1,0.5,0.5,0,0.777778,1,0.764706,1,1,1,1,1,0.769231,0.5]
recall
0.737179 [1,0.714286,0.333333,0.333333,0,0.631579,1,0.5,0,0,0.7,0.75,0.764706,1,0.777778,1,1,0.25,0.538462,0.5]
recall
0.75641 [0,0.875,0.25,0.666667,0,0.65,0.970588,0.5,0.5,0,0.888889,1,0.647059,0.666667,0.888889,0.9,1,0.25,0.615385,1]
recall
0.737179 [0,0.375,0,0.5,0,0.684211,1,0.25,0.5,1,0.777778,0.75,0.647059,0.833333,0.888889,1,1,0.5,0.769231,0.333333]
recall
0.75641 [0,0.857143,0.666667,0.5,0,0.526316,1,0.25,1,0,0.333333,1,0.941176,0.833333,0.888889,1,0.5,0.5,0.615385,0.666667]
recall
0.717949 [0,1,0.25,0.5,0,0.5,0.941176,0.6,0,0,0.555556,1,0.588235,0.833333,1,1,0,0.5,0.846154,0.333333]
recall
0.75 [0.5,0.75,0.333333,0.8,0,0.45,0.941176,1,0,0,0.666667,1,0.823529,0.833333,1,1,0,0.666667,0.538462,0.5]
recall
0.724359 [0,0.625,0,0.4,0,0.6,0.941176,0.25,1,1,0.555556,1,0.647059,0.714286,1,1,0,0.75,0.692308,1]
recall
0.685897 [0,0.375,0,0.5,0,0.631579,1,0.25,0,0,0.777778,1,0.647059,0.666667,0.888889,1,0,0.25,0.461538,1]
recall
0.647436 [0,0.285714,0,0.666667,0,0.5,0.970588,0.2,0,0,0.444444,1,0.529412,0.857143,0.777778,0.9,0.5,0.333333,0.615385,0.666667]
recall
0.775641 [0,0.571429,1,0.833333,0,0.6,0.970588,0.75,0,0,0.777778,1,0.588235,1,1,1,0,0.75,0.692308,0.666667]
recall
0.698718 [0,0.571429,0.666667,0.833333,0,0.473684,1,0,0,1,0.777778,1,0.588235,0.5,0.888889,1,1,0.25,0.615385,0.5]
recall
0.692308 [0,0.25,0.333333,0.166667,0,0.45,1,0.5,0,0.5,0.888889,0.75,0.875,1,1,1,0,0.333333,0.538462,0]
recall
0.74359 [0,0.875,0.666667,0.8,0,0.421053,0.970588,0.75,0.5,0,0.777778,0.75,0.705882,1,0.9,0.9,0,0.75,0.538462,0.666667]
recall
0.705128 [0,1,0.333333,0.5,0,0.4,0.941176,0.75,0,0,0.555556,1,0.588235,1,1,1,0,0.25,0.615385,1]
recall
0.679487 [0,0.285714,0.333333,0.4,0,0.578947,1,0.2,0.5,0,0.8,0.75,0.647059,0.833333,0.777778,0.9,0.5,0.5,0.538462,0.333333]
recall
0.724359 [0,0.857143,0,0.833333,0,0.473684,0.970588,1,0.5,1,0.777778,0.75,0.5,1,0.777778,1,0.5,0.25,0.692308,0.5]
recall
0.737179 [0,0.857143,0.333333,1,0,0.5,0.970588,0.4,0,0,0.444444,1,0.764706,1,1,1,0,0,0.769231,0.5]
recall
0.730769 [0.5,0.714286,0.333333,0.4,0,0.526316,0.970588,0.2,0.5,0,0.666667,1,0.647059,1,1,1,1,0.25,0.615385,1]
recall
0.769231 [0,0.875,0.666667,0.8,0,0.631579,1,0.6,0,1,0.666667,1,0.705882,0.714286,0.888889,1,0.5,0.5,0.538462,0.666667]
recall
0.769231 [0,1,0,0.833333,0,0.4,1,0.4,0,0,0.777778,1,0.705882,0.857143,1,1,0,0.5,0.923077,1]
recall
0.673077 [0,0.857143,0,0.333333,0,0.526316,0.970588,0.2,0,0,0.444444,1,0.588235,0.833333,1,0.888889,0,0.5,0.615385,1]
recall
0.75 [0,0.625,0.333333,0.5,0,0.473684,0.942857,0.5,0.5,0,0.777778,1,0.875,1,1,1,0,1,0.538462,0.75]
recall
0.705128 [0,0.875,0.333333,0.6,0,0.35,0.970588,0,0.5,1,0.666667,1,0.705882,1,0.777778,0.9,1,1,0.461538,0.75]
recall
0.711538 [0,0.571429,0.333333,0.666667,0,0.4,1,0.5,0.5,1,0.666667,1,0.882353,0.833333,0.888889,1,0,0.25,0.384615,0.666667]
recall
0.737179 [0,0.875,0.666667,0.4,0,0.368421,1,0.25,0.5,0,0.888889,1,0.625,1,0.777778,1,1,0.5,0.692308,0.5]
recall
0.75641 [0.5,1,1,0.5,0,0.684211,1,0.25,0.5,1,0.666667,0.75,0.375,0.714286,1,1,0.5,0.75,0.692308,0.75]
recall
0.775641 [1,0.857143,0,0.6,0,0.421053,1,0.8,0,1,1,1,0.823529,1,1,0.888889,0,0.5,0.692308,0.25]
recall
0.717949 [0,0.857143,0.333333,0.6,0,0.421053,1,0.4,0,1,0.777778,0.75,0.647059,1,0.888889,1,0,0.5,0.461538,1]
recall
0.74359 [1,0.5,0.666667,0.6,0,0.421053,1,0.5,0.5,1,0.777778,0.75,0.705882,0.714286,0.888889,1,0,1,0.692308,0.333333]
recall
0.685897 [0.5,0.75,0.25,0.4,0,0.368421,0.941176,0.4,0.5,0,0.555556,1,0.705882,1,0.888889,0.888889,1,0.333333,0.538462,0.666667]
recall
0.737179 [0,0.714286,0.25,0.8,0,0.4,1,0.8,0.5,0,0.777778,1,0.625,1,1,1,0.5,0.25,0.615385,1]
recall
0.698718 [0.5,0.875,0,0.6,0,0.368421,0.970588,0,0,1,0.666667,0.75,0.705882,0.714286,0.888889,1,0,0.333333,0.769231,0.75]
recall
0.75 [0,0.625,0.333333,1,0,0.7,0.970588,0.4,0.5,0,0.777778,1,0.588235,1,0.888889,1,1,0.333333,0.615385,0.25]
recall
0.717949 [0,1,0.666667,0.5,0,0.4,0.970588,0.5,0,0.5,0.777778,0.75,0.823529,1,0.666667,1,0,0,0.692308,0.333333]
recall
0.75 [1,0.75,0.333333,0.4,0,0.473684,1,0.25,1,0,0.666667,1,0.625,1,0.9,0.8,0.5,0.666667,0.769231,1]
recall
0.724359 [0,0.857143,0.333333,0.333333,0,0.421053,1,0.5,0.5,1,0.888889,0.75,0.764706,0.857143,0.888889,1,0.5,0.75,0.384615,0.5]
recall
0.769231 [1,0.714286,0,0.5,0,0.631579,1,0.2,0,0,0.9,1,0.8125,0.857143,1,1,0,0.75,0.615385,0.75]
recall
0.717949 [0,0.571429,0.5,0.2,0,0.578947,0.970588,0,1,0,0.666667,1,0.882353,0.857143,0.888889,0.9,1,0.5,0.538462,0.666667]
recall
0.679487 [0,0.875,0,0.6,0,0.315789,1,0,0,0.5,0.666667,0.75,0.75,1,0.888889,1,0,0.25,0.461538,0.5]
recall
0.730769 [0.5,0.625,0.25,0.6,0,0.473684,0.971429,0.2,0,0,0.777778,1,0.9375,0.857143,0.777778,1,1,0.666667,0.538462,0.666667]
recall
0.679487 [0.5,0.625,0.25,0.2,0,0.4,1,0.6,0.5,1,0.444444,1,0.5625,0.833333,0.888889,1,0.5,0.333333,0.615385,0.666667]
recall
0.698718 [0,0.857143,0.333333,0.4,0,0.526316,1,0,1,0,0.666667,1,0.529412,0.857143,0.888889,1,0,0.75,0.538462,0.75]
recall
0.724359 [0,0.875,0.333333,0.4,0,0.5,0.970588,0.2,0,0,0.888889,1,0.5,1,0.777778,1,0,0.333333,0.923077,0.5]
recall
0.74359 [0,0.5,0.25,0.8,0,0.6,0.970588,0.75,1,1,0.6,1,0.588235,0.666667,0.777778,1,0,1,0.769231,0.666667]
recall
0.698718 [0,0.75,0.333333,0.8,0,0.421053,0.970588,0,0,0,0.777778,1,0.764706,0.857143,0.888889,1,0,0.333333,0.384615,0.75]
recall
0.74359 [0,0.714286,0.666667,0.666667,0,0.631579,1,0.5,0,0,0.666667,1,0.588235,0.857143,0.777778,1,1,0.5,0.538462,1]
recall
0.705128 [0,0.857143,0.333333,0.333333,0,0.421053,1,0.4,0.5,0,0.444444,0.75,0.6875,0.857143,1,1,1,0.75,0.461538,0.75]
relative_absolute_error
0.299392
relative_absolute_error
0.285332
relative_absolute_error
0.327177
relative_absolute_error
0.256753
relative_absolute_error
0.325909
relative_absolute_error
0.267393
relative_absolute_error
0.327945
relative_absolute_error
0.279276
relative_absolute_error
0.278393
relative_absolute_error
0.342241
relative_absolute_error
0.292651
relative_absolute_error
0.313789
relative_absolute_error
0.334981
relative_absolute_error
0.271058
relative_absolute_error
0.315585
relative_absolute_error
0.283933
relative_absolute_error
0.279471
relative_absolute_error
0.299556
relative_absolute_error
0.294219
relative_absolute_error
0.313932
relative_absolute_error
0.185376
relative_absolute_error
0.247227
relative_absolute_error
0.342264
relative_absolute_error
0.356206
relative_absolute_error
0.349381
relative_absolute_error
0.363578
relative_absolute_error
0.299244
relative_absolute_error
0.285223
relative_absolute_error
0.313792
relative_absolute_error
0.370757
relative_absolute_error
0.306651
relative_absolute_error
0.270852
relative_absolute_error
0.285234
relative_absolute_error
0.320961
relative_absolute_error
0.256793
relative_absolute_error
0.285581
relative_absolute_error
0.306368
relative_absolute_error
0.278134
relative_absolute_error
0.328021
relative_absolute_error
0.328022
relative_absolute_error
0.300937
relative_absolute_error
0.299456
relative_absolute_error
0.271176
relative_absolute_error
0.235251
relative_absolute_error
0.25675
relative_absolute_error
0.359322
relative_absolute_error
0.349083
relative_absolute_error
0.299236
relative_absolute_error
0.262243
relative_absolute_error
0.278812
relative_absolute_error
0.320823
relative_absolute_error
0.29234
relative_absolute_error
0.252747
relative_absolute_error
0.29226
relative_absolute_error
0.270535
relative_absolute_error
0.292132
relative_absolute_error
0.271365
relative_absolute_error
0.313631
relative_absolute_error
0.278154
relative_absolute_error
0.305119
relative_absolute_error
0.349312
relative_absolute_error
0.389819
relative_absolute_error
0.250676
relative_absolute_error
0.336907
relative_absolute_error
0.340024
relative_absolute_error
0.285299
relative_absolute_error
0.327069
relative_absolute_error
0.357826
relative_absolute_error
0.30607
relative_absolute_error
0.290497
relative_absolute_error
0.299232
relative_absolute_error
0.256561
relative_absolute_error
0.254458
relative_absolute_error
0.363054
relative_absolute_error
0.278417
relative_absolute_error
0.32805
relative_absolute_error
0.317476
relative_absolute_error
0.292332
relative_absolute_error
0.275766
relative_absolute_error
0.250973
relative_absolute_error
0.313481
relative_absolute_error
0.28454
relative_absolute_error
0.349081
relative_absolute_error
0.291991
relative_absolute_error
0.332393
relative_absolute_error
0.278658
relative_absolute_error
0.312941
relative_absolute_error
0.27742
relative_absolute_error
0.307271
relative_absolute_error
0.253324
relative_absolute_error
0.311978
relative_absolute_error
0.352748
relative_absolute_error
0.299808
relative_absolute_error
0.35664
relative_absolute_error
0.335191
relative_absolute_error
0.306471
relative_absolute_error
0.286451
relative_absolute_error
0.33491
relative_absolute_error
0.285415
relative_absolute_error
0.326857
root_mean_prior_squared_error
0.211971
root_mean_prior_squared_error
0.211835
root_mean_prior_squared_error
0.212094
root_mean_prior_squared_error
0.211863
root_mean_prior_squared_error
0.212074
root_mean_prior_squared_error
0.211974
root_mean_prior_squared_error
0.211932
root_mean_prior_squared_error
0.211873
root_mean_prior_squared_error
0.211798
root_mean_prior_squared_error
0.212038
root_mean_prior_squared_error
0.21169
root_mean_prior_squared_error
0.211915
root_mean_prior_squared_error
0.212004
root_mean_prior_squared_error
0.211587
root_mean_prior_squared_error
0.211911
root_mean_prior_squared_error
0.21191
root_mean_prior_squared_error
0.211977
root_mean_prior_squared_error
0.211855
root_mean_prior_squared_error
0.211874
root_mean_prior_squared_error
0.211905
root_mean_prior_squared_error
0.211927
root_mean_prior_squared_error
0.211971
root_mean_prior_squared_error
0.211902
root_mean_prior_squared_error
0.211852
root_mean_prior_squared_error
0.211911
root_mean_prior_squared_error
0.211954
root_mean_prior_squared_error
0.212076
root_mean_prior_squared_error
0.211837
root_mean_prior_squared_error
0.211874
root_mean_prior_squared_error
0.211925
root_mean_prior_squared_error
0.211891
root_mean_prior_squared_error
0.211992
root_mean_prior_squared_error
0.211902
root_mean_prior_squared_error
0.211852
root_mean_prior_squared_error
0.211829
root_mean_prior_squared_error
0.211815
root_mean_prior_squared_error
0.212076
root_mean_prior_squared_error
0.211974
root_mean_prior_squared_error
0.211895
root_mean_prior_squared_error
0.21185
root_mean_prior_squared_error
0.211943
root_mean_prior_squared_error
0.211926
root_mean_prior_squared_error
0.211923
root_mean_prior_squared_error
0.211988
root_mean_prior_squared_error
0.211865
root_mean_prior_squared_error
0.212113
root_mean_prior_squared_error
0.212076
root_mean_prior_squared_error
0.211974
root_mean_prior_squared_error
0.2119
root_mean_prior_squared_error
0.211909
root_mean_prior_squared_error
0.211941
root_mean_prior_squared_error
0.211895
root_mean_prior_squared_error
0.211931
root_mean_prior_squared_error
0.211974
root_mean_prior_squared_error
0.211865
root_mean_prior_squared_error
0.212066
root_mean_prior_squared_error
0.211813
root_mean_prior_squared_error
0.211983
root_mean_prior_squared_error
0.211861
root_mean_prior_squared_error
0.211884
root_mean_prior_squared_error
0.212065
root_mean_prior_squared_error
0.21189
root_mean_prior_squared_error
0.211905
root_mean_prior_squared_error
0.212076
root_mean_prior_squared_error
0.212034
root_mean_prior_squared_error
0.212031
root_mean_prior_squared_error
0.211952
root_mean_prior_squared_error
0.212062
root_mean_prior_squared_error
0.212283
root_mean_prior_squared_error
0.211971
root_mean_prior_squared_error
0.212085
root_mean_prior_squared_error
0.212021
root_mean_prior_squared_error
0.211955
root_mean_prior_squared_error
0.212175
root_mean_prior_squared_error
0.211893
root_mean_prior_squared_error
0.211903
root_mean_prior_squared_error
0.211952
root_mean_prior_squared_error
0.211919
root_mean_prior_squared_error
0.212283
root_mean_prior_squared_error
0.211832
root_mean_prior_squared_error
0.212085
root_mean_prior_squared_error
0.212046
root_mean_prior_squared_error
0.212109
root_mean_prior_squared_error
0.212169
root_mean_prior_squared_error
0.212136
root_mean_prior_squared_error
0.211903
root_mean_prior_squared_error
0.211954
root_mean_prior_squared_error
0.212131
root_mean_prior_squared_error
0.212136
root_mean_prior_squared_error
0.21218
root_mean_prior_squared_error
0.21207
root_mean_prior_squared_error
0.212175
root_mean_prior_squared_error
0.211943
root_mean_prior_squared_error
0.212131
root_mean_prior_squared_error
0.212149
root_mean_prior_squared_error
0.211999
root_mean_prior_squared_error
0.21186
root_mean_prior_squared_error
0.21206
root_mean_prior_squared_error
0.211763
root_mean_prior_squared_error
0.212175
root_mean_squared_error
0.163647
root_mean_squared_error
0.160119
root_mean_squared_error
0.170735
root_mean_squared_error
0.151787
root_mean_squared_error
0.170867
root_mean_squared_error
0.154537
root_mean_squared_error
0.171048
root_mean_squared_error
0.158132
root_mean_squared_error
0.15794
root_mean_squared_error
0.175411
root_mean_squared_error
0.161494
root_mean_squared_error
0.167944
root_mean_squared_error
0.173568
root_mean_squared_error
0.155373
root_mean_squared_error
0.167827
root_mean_squared_error
0.158716
root_mean_squared_error
0.158183
root_mean_squared_error
0.163643
root_mean_squared_error
0.162189
root_mean_squared_error
0.167894
root_mean_squared_error
0.129099
root_mean_squared_error
0.148325
root_mean_squared_error
0.175406
root_mean_squared_error
0.178236
root_mean_squared_error
0.176347
root_mean_squared_error
0.180653
root_mean_squared_error
0.163575
root_mean_squared_error
0.160016
root_mean_squared_error
0.167944
root_mean_squared_error
0.182573
root_mean_squared_error
0.165905
root_mean_squared_error
0.156074
root_mean_squared_error
0.160128
root_mean_squared_error
0.169595
root_mean_squared_error
0.151911
root_mean_squared_error
0.1601
root_mean_squared_error
0.165682
root_mean_squared_error
0.158114
root_mean_squared_error
0.171717
root_mean_squared_error
0.171681
root_mean_squared_error
0.16305
root_mean_squared_error
0.164072
root_mean_squared_error
0.15607
root_mean_squared_error
0.145444
root_mean_squared_error
0.151903
root_mean_squared_error
0.179314
root_mean_squared_error
0.177073
root_mean_squared_error
0.163991
root_mean_squared_error
0.15262
root_mean_squared_error
0.158043
root_mean_squared_error
0.169805
root_mean_squared_error
0.162091
root_mean_squared_error
0.150218
root_mean_squared_error
0.162113
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