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 0.834818 [0.5,0.677365,0.5,0.746667,0.5,0.806761,1,0.619243,0.496753,0.5,0.869992,0.973684,0.781422,0.823333,0.933862,1,0.496774,0.621711,0.746638,0.996732] area_under_roc_curve 0.820825 [0.496753,0.639501,0.486928,0.83,0.0,0.752757,0.985294,0.593377,0.493548,0.5,0.76644,0.973684,0.750317,0.92186,0.871126,0.95,0.75,0.663399,0.792361,0.830065] area_under_roc_curve 0.882584 [0.493506,0.857143,0.996732,0.913333,0.5,0.783824,0.985294,0.868421,0.496774,0.5,0.882086,0.986842,0.762167,0.996644,0.97619,1,0.5,0.870888,0.846154,0.830065] area_under_roc_curve 0.843309 [0.5,0.779003,0.830065,0.906667,0.5,0.74952,1,0.496689,0.496753,1,0.876795,0.967105,0.771054,0.75,0.917234,1,0.993548,0.625,0.799354,0.736842] area_under_roc_curve 0.842598 [0.75,0.619088,0.653595,0.583333,0.0,0.713971,1,0.745066,0.5,0.746753,0.992441,0.835526,0.894196,1,0.982993,1,0.5,0.666667,0.758741,0.496711] area_under_roc_curve 0.866258 [0.496774,0.9375,0.833333,0.896689,0.5,0.728774,0.985294,0.868421,0.746753,0.5,0.875283,0.858553,0.819509,0.996667,0.92911,0.95,0.5,0.875,0.758741,0.821351] area_under_roc_curve 0.85647 [0.5,1,0.653595,0.75,0.5,0.720956,0.970588,0.866776,0.493506,0.5,0.812547,0.973684,0.761744,0.993333,0.986395,1,0.5,0.625,0.868478,0.996732] area_under_roc_curve 0.831385 [0.496774,0.637105,0.656863,0.693377,0.5,0.766808,1,0.596689,0.75,0.496774,0.882877,0.86102,0.789886,0.903333,0.869615,1,0.75,0.746711,0.755245,0.666667] area_under_roc_curve 0.855566 [0.5,0.928571,0.486928,0.91,0.496774,0.742989,0.985294,0.993421,0.75,1,0.875283,0.858553,0.719643,1,0.876417,1,0.75,0.621711,0.828671,0.746711] area_under_roc_curve 0.868436 [0.5,0.99233,0.653595,1,0.5,0.737132,0.985294,0.696689,0.496753,0.5,0.76644,0.983553,0.846382,0.996644,0.986395,1,0.5,0.496711,0.869554,0.870888] area_under_roc_curve 0.856526 [0.75,0.853787,0.657952,0.7,0.5,0.75413,0.985294,0.596689,0.748377,0.496774,0.815193,0.983553,0.794541,0.996644,0.972789,1,1,0.621711,0.799623,0.990196] area_under_roc_curve 0.877386 [0.496753,0.927365,0.830065,0.896689,0.0,0.80849,1,0.795364,0.496774,1,0.825397,0.980263,0.83284,0.853787,0.923658,1,0.75,0.75,0.758741,0.830065] area_under_roc_curve 0.887071 [0.496753,0.996644,0.496732,0.912778,0.5,0.745956,1,0.696689,0.496774,0.496774,0.882086,0.986842,0.856961,0.928571,0.972789,1,0.5,0.75,0.95078,0.993464] area_under_roc_curve 0.838552 [0.493506,0.928571,0.490196,0.651111,0.5,0.803688,0.985294,0.692053,0.5,0.5,0.705215,0.976974,0.785865,0.91,0.979592,0.944444,0.5,0.75,0.794513,1] area_under_roc_curve 0.866868 [0.5,0.8125,0.650327,0.75,0.0,0.715713,0.971429,0.741776,0.746753,0.5,0.882086,0.980263,0.922768,0.986667,0.982993,1,0.496753,1,0.757934,0.870888] area_under_roc_curve 0.845083 [0.496774,0.9375,0.660131,0.8,0.5,0.650551,0.985294,0.496689,0.746753,0.996774,0.812547,0.983553,0.8303,0.993333,0.860922,0.95,1,1,0.757934,0.861842] area_under_roc_curve 0.851205 [0.5,0.782359,0.663399,0.832222,0.496774,0.711029,1,0.746711,0.75,1,0.825397,0.980263,0.88997,0.913333,0.919879,1,0.5,0.621711,0.723238,0.832244] area_under_roc_curve 0.862233 [0.5,0.930743,0.826797,0.696689,0.5,0.669612,1,0.625,0.743506,0.5,0.927438,0.986842,0.783929,1,0.871882,1,1,0.746711,0.864443,0.745066] area_under_roc_curve 0.87347 [0.743506,0.988495,0.980392,0.745,0.5,0.831156,1,0.622533,0.746753,1,0.818594,0.866776,0.690625,0.857143,0.989796,1,0.746753,0.875,0.838085,0.871711] area_under_roc_curve 0.879246 [1,0.92186,0.496732,0.798675,0.5,0.699001,1,0.884106,0.5,1,0.986395,0.993421,0.887643,0.996644,0.982993,0.944444,0.5,0.75,0.828671,0.621711] area_under_roc_curve 0.850645 [0.496753,0.925216,0.66122,0.793377,0.5,0.703227,1,0.693377,0.493506,1,0.884732,0.851974,0.79708,0.996644,0.923658,1,0.5,0.75,0.7149,0.986928] area_under_roc_curve 0.866681 [1,0.746622,0.828976,0.793377,0.0,0.727238,1,0.740132,0.75,1,0.875283,0.861842,0.826703,0.847076,0.923658,1,0.496753,1,0.838623,0.660131] area_under_roc_curve 0.830445 [0.75,0.871622,0.615132,0.7,0.5,0.662697,0.970588,0.688079,0.75,0.496774,0.764172,0.983553,0.812315,0.993289,0.920257,0.944444,1,0.666667,0.74879,0.832244] area_under_roc_curve 0.860015 [0.5,0.850431,0.611842,0.9,0.5,0.696324,1,0.890066,0.741883,0.5,0.878685,0.986842,0.768304,0.996667,0.993197,1,0.746753,0.621711,0.797203,0.996732] area_under_roc_curve 0.842188 [0.75,0.934122,0.490196,0.8,0.496774,0.676911,0.985294,0.496711,0.487013,1,0.825775,0.861842,0.804063,0.853787,0.933485,1,0.496753,0.663399,0.903712,0.865132] area_under_roc_curve 0.865453 [0.496774,0.809122,0.660131,0.996689,0.5,0.840441,0.985294,0.693377,0.746753,0.5,0.88133,0.980263,0.750741,1,0.936886,1,1,0.663399,0.791017,0.621711] area_under_roc_curve 0.855743 [0.496774,0.989933,0.820261,0.746667,0.5,0.681618,0.985294,0.743421,0.496753,0.75,0.871882,0.875,0.914515,0.996667,0.809524,1,0.5,0.625,0.839161,0.653595] area_under_roc_curve 0.875835 [0.993548,0.874155,0.663399,0.694702,0.5,0.751056,1,0.625,0.993506,1,0.821995,0.990132,0.773214,1,0.939384,0.9,0.75,0.995643,0.871167,0.996711] area_under_roc_curve 0.855286 [0.493548,0.928571,0.663399,0.666667,0.496774,0.698617,1,0.741776,0.746753,1,0.987528,0.858553,0.848286,0.92186,0.927438,0.996221,0.746753,0.875,0.671329,0.745066] area_under_roc_curve 0.889362 [0.996774,0.852828,0.657952,0.75,0.5,0.82597,1,0.593377,0.496753,0.496774,0.946575,0.986842,0.873437,0.92186,0.993197,1,0.496774,0.875,0.838892,0.991776] area_under_roc_curve 0.854346 [0.5,0.775647,0.735197,0.596689,0.5,0.786208,0.985294,0.5,0.996774,0.5,0.816327,0.980263,0.906475,0.928571,0.93424,0.95,0.996774,0.746711,0.801506,0.833333] area_under_roc_curve 0.835532 [0.5,0.934122,0.486928,0.793377,0.0,0.654245,1,0.620888,0.493506,0.75,0.869237,0.851151,0.819643,1,0.924036,1,0.5,0.625,0.723776,0.743421] area_under_roc_curve 0.858993 [0.75,0.8125,0.621711,0.796689,0.496774,0.74952,0.985714,0.6,0.5,0.496774,0.871882,0.976974,0.933036,0.928571,0.871882,1,1,0.833333,0.753631,0.823529] area_under_roc_curve 0.830683 [0.743506,0.809122,0.615954,0.6,0.5,0.678125,1,0.796689,0.746753,1,0.706727,0.980263,0.738616,0.916667,0.913454,1,0.746753,0.663399,0.833244,0.828976] area_under_roc_curve 0.838715 [0.49026,0.92186,0.660131,0.696689,0.5,0.751056,1,0.493377,0.996774,0.5,0.818594,0.973684,0.72154,0.928571,0.92706,1,0.5,0.875,0.757934,0.870888] area_under_roc_curve 0.856717 [0.496753,0.934122,0.656863,0.694702,0.0,0.761397,0.985294,0.593377,0.496774,0.5,0.927438,0.986842,0.723214,0.996644,0.871882,1,0.5,0.666667,0.954545,0.736842] area_under_roc_curve 0.872895 [0.493548,0.746622,0.615954,0.892715,0.5,0.807904,0.985294,0.875,0.996753,1,0.845205,0.970395,0.804697,0.832222,0.877929,1,0.496774,1,0.864174,0.828976] area_under_roc_curve 0.8422 [0.5,0.871622,0.653595,0.893377,0.5,0.724164,0.985294,0.496711,0.5,0.5,0.865457,0.980263,0.84215,0.928571,0.92328,1,0.496774,0.663399,0.686659,0.871711] area_under_roc_curve 0.863448 [0.496774,0.853787,0.833333,0.833333,0.5,0.801191,1,0.746711,0.496753,0.5,0.816327,0.983553,0.772535,0.92186,0.854119,1,1,0.746711,0.769231,0.993464] area_under_roc_curve 0.851931 [0.496774,0.925216,0.66122,0.75,0.493548,0.715713,1,0.796026,0.746753,0.5,0.708617,0.855263,0.808705,0.928571,0.97619,1,1,0.871711,0.721893,0.870888] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.726838 [0,0.833333,0.25,0.666667,0,0.606061,1,0.5,0,0,0.727273,0.533333,0.631579,0.769231,0.8,1,0,0.571429,0.72,0.285714] f_measure 0.730874 [0,0.875,0.4,0.25,0,0.516129,1,0.571429,0.5,1,0.818182,0.6,0.628571,0.833333,0.666667,1,1,0.666667,0.64,0.5] f_measure 0.700805 [0,0.714286,0.222222,0.333333,0,0.645161,1,0.666667,0,1,0.421053,0.666667,0.625,0.823529,0.72,1,0,0,0.695652,0.666667] f_measure 0.752822 [0,0.823529,0,0.666667,0,0.606061,1,0.285714,0.666667,0.666667,0.8,0.5,0.742857,0.909091,0.8,1,0,0.8,0.666667,0.857143] f_measure 0.704549 [0,0.727273,0.285714,0.461538,0,0.518519,1,0.545455,0,1,0.636364,0.545455,0.555556,0.8,0.727273,1,1,0.75,0.636364,0.666667] f_measure 0.750617 [0,0.666667,0.363636,0.666667,0,0.551724,0.985075,0.545455,0.5,1,0.8,0.8,0.702703,0.823529,0.695652,1,0,0.5,0.72,0.888889] f_measure 0.676813 [0,0.875,0,0.75,0,0.514286,1,0,0,0,0.631579,0.615385,0.4375,1,0.769231,1,0,0,0.6,0.727273] f_measure 0.747922 [0.666667,0.823529,0,0.888889,0,0.625,1,0.25,0.5,1,0.555556,0.6,0.682927,1,0.727273,1,0,0.4,0.727273,0.4] f_measure 0.743779 [0,0.625,0.333333,0.727273,0,0.722222,1,0.333333,0.5,0,0.555556,0.533333,0.666667,0.769231,0.842105,1,0,0.5,0.740741,0.666667] f_measure 0.68636 [0,0.714286,0.307692,0.727273,0,0.444444,1,0.666667,0,0,0.705882,0.5,0.634146,0.714286,0.695652,1,0.666667,0.333333,0.56,0.333333] f_measure 0.724943 [0,0.941176,0,0.545455,0,0.6,0.985507,0.444444,0,0,0.75,0.6,0.625,1,0.642857,1,0,0.5,0.666667,0.615385] f_measure 0.712004 [0,0.769231,0.2,0.571429,0,0.516129,1,0.5,0.4,0,0.631579,0.5,0.717949,1,0.727273,1,0,0.333333,0.636364,0.666667] f_measure 0.696769 [0,0.714286,0.363636,0.444444,0,0.6,0.985075,0.4,0,1,0.6,0.666667,0.685714,0.714286,0.592593,0.947368,0,0.571429,0.421053,1] f_measure 0.758348 [0,0.875,0.4,0.666667,0,0.470588,0.985507,0.857143,0,0.666667,0.625,0.533333,0.736842,0.769231,0.8,1,0,0.8,0.833333,0.666667] f_measure 0.709646 [0,0.8,0,0.8,0,0.526316,0.985075,0.222222,0,1,0.7,0.727273,0.6,1,0.8,1,0,0.571429,0.56,0.6] f_measure 0.72388 [0,0.8,0.285714,0.727273,0,0.666667,1,0,0,0,0.5,0.571429,0.684211,0.923077,0.782609,1,0,0.4,0.833333,0.285714] f_measure 0.744233 [0,0.857143,0,0.75,0,0.611111,1,0.444444,0,1,0.736842,0.533333,0.580645,1,0.782609,1,1,0.4,0.75,0.5] f_measure 0.739525 [0.666667,0.769231,0,0.888889,0,0.666667,1,0.75,0,1,0.526316,0.444444,0.571429,1,0.782609,1,0.666667,0.333333,0.571429,0.6] f_measure 0.72838 [0,0.666667,0.333333,0.5,0,0.685714,1,0.285714,0.666667,0,0.555556,0.470588,0.666667,0.909091,0.761905,0.947368,0,0.333333,0.8,0.75] f_measure 0.71213 [0.666667,0.8,0,0.8,0,0.387097,1,0.857143,0.5,0,0.444444,0.615385,0.604651,0.909091,0.666667,1,1,0.5,0.72,0.444444] f_measure 0.836846 [1,0.933333,0.222222,0.8,0,0.666667,1,0.5,0.666667,0.666667,0.875,0.888889,0.777778,1,0.761905,1,0.666667,0.857143,0.846154,0.75] f_measure 0.754291 [1,0.888889,0,1,0,0.594595,0.985075,0.857143,0.666667,0,0.588235,0.615385,0.742857,0.923077,0.761905,1,1,0,0.689655,0.666667] f_measure 0.681359 [1,0.666667,0.333333,0.666667,0,0.451613,0.985075,0.285714,0,1,0.777778,0.375,0.5625,0.857143,0.761905,1,0.4,0,0.571429,0.666667] f_measure 0.660747 [0.666667,0.769231,0,0.6,0,0.4375,0.969697,0,0,0,0.736842,0.615385,0.6,0.777778,0.695652,1,1,0.666667,0.416667,0.363636] f_measure 0.682583 [1,0.666667,0,0.444444,0,0.529412,1,0.333333,0,1,0.705882,0.470588,0.625,0.923077,0.571429,1,0.666667,0.285714,0.571429,0.545455] f_measure 0.663877 [0.666667,0.857143,0.333333,0.6,0,0.484848,0.985507,0.333333,0,0,0.555556,0.533333,0.470588,0.833333,0.6,1,0,0.666667,0.545455,0.545455] f_measure 0.725043 [0,0.769231,0.444444,0.545455,0,0.625,0.985075,0.285714,0,1,0.8,0.571429,0.580645,0.875,0.64,0.941176,0,0.888889,0.636364,0.888889] f_measure 0.735289 [0,0.666667,0.857143,0.666667,0,0.533333,0.985075,0.6,0,0,0.75,0.4,0.736842,0.833333,0.666667,1,0,0.4,0.72,0.857143] f_measure 0.713218 [0,0.875,0,0.8,0,0.625,1,0.222222,0,0,0.526316,0.888889,0.647059,0.923077,0.592593,1,0,0.666667,0.64,0.5] f_measure 0.660144 [0,0.571429,0.5,0.75,0,0.4,0.969697,0.333333,0.666667,0,0.545455,0.461538,0.648649,0.714286,0.571429,1,0.666667,0.666667,0.454545,0.857143] f_measure 0.713301 [0,0.933333,0.333333,0.769231,0,0.533333,0.985075,0,0.5,0,0.666667,0.4,0.55,0.923077,0.692308,1,0,0.8,0.666667,0.888889] f_measure 0.749936 [0,1,0,0.727273,0,0.647059,1,0.571429,0.666667,1,0.444444,0.615385,0.545455,1,0.72,1,1,0.666667,0.740741,0.888889] f_measure 0.728709 [0,0.666667,0,0.666667,0,0.684211,1,0.4,1,0,0.705882,0.545455,0.594595,0.769231,0.782609,0.947368,0,0.571429,0.692308,0.666667] f_measure 0.708511 [0.666667,0.714286,0.222222,0.75,0,0.4375,1,0.571429,0.5,0,0.625,0.545455,0.526316,0.933333,0.666667,1,0,0.571429,0.727273,0.666667] f_measure 0.761866 [1,0.8,0.857143,0.888889,0,0.5,1,0.444444,0,0,0.8,0.5,0.7,0.923077,0.666667,1,0,0.857143,0.666667,0.8] f_measure 0.733086 [0.666667,0.769231,0.222222,0.833333,0,0.444444,1,0.333333,0,1,0.777778,0.428571,0.682927,0.923077,0.727273,1,0,0.571429,0.72,0.666667] f_measure 0.723128 [1,0.769231,0,0.5,0,0.62069,1,0.6,0,0,0.736842,0.666667,0.533333,0.714286,0.9,1,1,0.571429,0.571429,0.545455] f_measure 0.737467 [0,0.857143,0.25,0.4,0,0.588235,0.985075,0.6,0,1,0.8,0.666667,0.594595,0.923077,0.695652,0.941176,0,0.857143,0.846154,0.571429] f_measure 0.689038 [0,0.857143,0.444444,0.545455,0,0.344828,0.985507,0.571429,0.666667,0,0.631579,0.666667,0.648649,0.923077,0.64,0.947368,0,0.666667,0.583333,0.6] f_measure 0.694382 [0,0.769231,0.5,0.666667,0,0.516129,1,0.333333,0.5,1,0.736842,0.470588,0.4,0.857143,0.8,0.947368,0,0,0.75,0.5] f_measure 0.713655 [0,0.769231,0,0.666667,0,0.357143,1,0.666667,0.666667,1,0.777778,0.571429,0.615385,0.923077,0.727273,1,0.666667,0.571429,0.583333,0.75] f_measure 0.722135 [0,0.769231,0.571429,0.727273,0,0.611111,0.985075,0.5,0,0,0.5,0.615385,0.578947,1,0.818182,1,0,0.571429,0.636364,0.75] f_measure 0.745027 [0,0.75,0,0.857143,0,0.628571,1,0.4,0,1,0.777778,0.4,0.666667,0.833333,0.9,1,0.666667,0.4,0.72,0.333333] f_measure 0.775384 [0,0.875,0.75,0.833333,0,0.516129,0.985075,0,0.5,0,0.857143,0.666667,0.727273,0.933333,0.666667,1,0,0.857143,0.869565,0.6] f_measure 0.746466 [0,0.888889,0.5,0.727273,0,0.4,1,0.5,0.666667,0,0.888889,0.8,0.717949,0.923077,0.818182,1,1,0,0.692308,0.444444] f_measure 0.656232 [0,0.666667,0.285714,0.363636,0,0.5,1,0,0,1,0.666667,0.5,0.619048,0.714286,0.782609,1,0.5,0.333333,0.444444,0.75] f_measure 0.6719 [0.4,0.714286,0.333333,0.545455,0,0.307692,1,0.25,0,0,0.842105,0.181818,0.5625,1,0.62069,1,0.666667,0.5,0.785714,0.285714] f_measure 0.724244 [0,0.857143,0.5,0.8,0,0.588235,1,0.666667,0,0,0.8,0.615385,0.526316,0.857143,0.571429,1,0,0.666667,0.636364,0.75] f_measure 0.749345 [0.666667,0.615385,0,0.75,0,0.628571,0.969697,0.285714,0,0.666667,0.888889,0.666667,0.727273,0.75,0.818182,1,0.666667,0.5,0.75,0.444444] f_measure 0.745527 [0,0.8,0.285714,0.444444,0,0.705882,1,0.5,0,0,0.777778,0.533333,0.6,0.909091,0.736842,1,0,0.666667,0.833333,0.5] f_measure 0.709995 [0.333333,0.823529,0.285714,0.727273,0,0.516129,1,0.888889,0.666667,0,0.571429,0.8,0.388889,0.923077,0.666667,1,1,0.666667,0.608696,0.5] f_measure 0.726626 [0,0.666667,0.4,0.6,0,0.545455,0.985075,0.727273,0.5,0,0.761905,0.571429,0.666667,1,0.727273,1,0,0.4,0.608696,0.571429] f_measure 0.763606 [0,0.923077,0,0.8,0,0.516129,1,0.5,0.5,0,0.7,0.615385,0.666667,1,0.782609,1,1,1,0.8,0.5] f_measure 0.73902 [1,0.833333,0.333333,0.5,0,0.75,0.985507,0.5,0,0,0.736842,0.352941,0.684211,0.933333,0.636364,1,1,0.333333,0.608696,0.444444] f_measure 0.75546 [0,0.875,0.333333,0.727273,0,0.722222,0.985075,0.571429,0.5,0,0.761905,0.533333,0.611111,0.727273,0.695652,0.947368,0.666667,0.333333,0.727273,1] f_measure 0.732591 [0,0.428571,0,0.6,0,0.742857,1,0.285714,0.4,1,0.777778,0.461538,0.647059,0.833333,0.8,1,1,0.571429,0.666667,0.4] f_measure 0.742795 [0,0.75,0.8,0.6,0,0.645161,1,0.4,0.8,0,0.4,0.8,0.695652,0.769231,0.727273,1,0.666667,0.666667,0.666667,0.571429] f_measure 0.713646 [0,0.933333,0.222222,0.666667,0,0.588235,0.955224,0.75,0,0,0.666667,0.727273,0.571429,0.769231,0.72,1,0,0.666667,0.758621,0.222222] f_measure 0.744732 [0.666667,0.857143,0.4,0.727273,0,0.529412,0.969697,0.8,0,0,0.8,0.533333,0.717949,0.833333,0.689655,1,0,0.8,0.636364,0.571429] f_measure 0.723075 [0,0.714286,0,0.444444,0,0.685714,0.969697,0.285714,0.4,1,0.588235,0.615385,0.578947,0.769231,0.72,1,0,0.75,0.782609,1] f_measure 0.665637 [0,0.428571,0,0.6,0,0.705882,1,0.333333,0,0,0.666667,0.5,0.55,0.615385,0.8,1,0,0.333333,0.48,0.75] f_measure 0.650605 [0,0.4,0,0.727273,0,0.571429,0.985075,0.25,0,0,0.5,0.5,0.473684,0.8,0.666667,0.947368,0.666667,0.4,0.615385,0.666667] f_measure 0.768283 [0,0.727273,0.857143,0.833333,0,0.666667,0.985075,0.666667,0,0,0.777778,0.666667,0.571429,0.933333,0.72,1,0,0.666667,0.818182,0.666667] f_measure 0.686934 [0,0.615385,0.666667,0.714286,0,0.580645,1,0,0,1,0.736842,0.444444,0.588235,0.666667,0.64,1,0.5,0.4,0.666667,0.4] f_measure 0.672102 [0,0.363636,0.25,0.285714,0,0.5625,0.985507,0.5,0,0.5,0.842105,0.315789,0.651163,1,0.782609,1,0,0.5,0.608696,0] f_measure 0.738177 [0,0.933333,0.8,0.8,0,0.551724,0.985075,0.666667,0.5,0,0.7,0.5,0.631579,0.923077,0.692308,0.947368,0,0.857143,0.608696,0.444444] f_measure 0.695344 [0,1,0.25,0.666667,0,0.551724,0.969697,0.545455,0,0,0.526316,0.5,0.555556,0.857143,0.782609,1,0,0.4,0.64,0.75] f_measure 0.672893 [0,0.4,0.285714,0.444444,0,0.611111,1,0.285714,0.666667,0,0.695652,0.5,0.594595,0.666667,0.608696,0.947368,0.666667,0.571429,0.583333,0.5] f_measure 0.720789 [0,0.923077,0,0.769231,0,0.545455,0.985075,0.8,0.666667,1,0.7,0.5,0.484848,1,0.7,1,0.666667,0.333333,0.666667,0.571429] f_measure 0.716613 [0,0.8,0.25,1,0,0.606061,0.985075,0.5,0,0,0.5,0.571429,0.65,0.933333,0.782609,1,0,0,0.740741,0.571429] f_measure 0.723644 [0.666667,0.769231,0.333333,0.571429,0,0.645161,0.985075,0.285714,0.5,0,0.571429,0.615385,0.611111,0.933333,0.692308,1,1,0.333333,0.695652,0.666667] f_measure 0.768491 [0,0.777778,0.666667,0.8,0,0.727273,1,0.6,0,1,0.666667,0.571429,0.705882,0.769231,0.695652,1,0.666667,0.666667,0.608696,0.666667] f_measure 0.751309 [0,0.933333,0,0.769231,0,0.551724,1,0.5,0,0,0.777778,0.666667,0.666667,0.923077,0.666667,1,0,0.666667,0.857143,0.75] f_measure 0.662821 [0,0.923077,0,0.307692,0,0.625,0.985075,0.25,0,0,0.444444,0.533333,0.526316,0.769231,0.75,0.941176,0,0.666667,0.64,0.857143] f_measure 0.744061 [0,0.769231,0.222222,0.666667,0,0.545455,0.970588,0.5,0.5,0,0.777778,0.571429,0.823529,0.75,0.782609,1,0,1,0.608696,0.75] f_measure 0.694033 [0,0.933333,0.333333,0.75,0,0.411765,0.985075,0,0.5,0.666667,0.6,0.615385,0.685714,0.857143,0.583333,0.947368,1,1,0.545455,0.545455] f_measure 0.698285 [0,0.666667,0.4,0.727273,0,0.5,1,0.571429,0.666667,1,0.705882,0.571429,0.638298,0.833333,0.64,1,0,0.333333,0.5,0.666667] f_measure 0.722603 [0,0.823529,0.571429,0.5,0,0.466667,1,0.4,0.4,0,0.727273,0.615385,0.588235,1,0.666667,1,1,0.571429,0.666667,0.571429] f_measure 0.753371 [0.4,0.823529,0.5,0.6,0,0.742857,1,0.333333,0.5,1,0.6,0.666667,0.413793,0.833333,0.857143,1,0.5,0.857143,0.75,0.75] f_measure 0.751834 [1,0.8,0,0.666667,0,0.533333,1,0.615385,0,1,0.818182,0.8,0.756757,0.933333,0.782609,0.941176,0,0.666667,0.666667,0.333333] f_measure 0.71082 [0,0.857143,0.4,0.6,0,0.551724,1,0.444444,0,1,0.777778,0.428571,0.611111,0.933333,0.695652,1,0,0.666667,0.521739,0.545455] f_measure 0.740148 [1,0.615385,0.571429,0.6,0,0.551724,1,0.444444,0.666667,1,0.7,0.545455,0.666667,0.666667,0.666667,1,0,1,0.75,0.333333] f_measure 0.682625 [0.666667,0.8,0.25,0.571429,0,0.451613,0.969697,0.363636,0.666667,0,0.555556,0.615385,0.6,0.875,0.64,0.941176,1,0.5,0.56,0.8] f_measure 0.725733 [0,0.714286,0.222222,0.888889,0,0.551724,1,0.666667,0.4,0,0.736842,0.666667,0.512821,0.923077,0.9,1,0.5,0.333333,0.666667,0.857143] f_measure 0.693759 [0.666667,0.875,0,0.75,0,0.5,0.985075,0,0,1,0.705882,0.545455,0.55814,0.769231,0.761905,1,0,0.4,0.714286,0.6] f_measure 0.747731 [0,0.714286,0.333333,0.909091,0,0.777778,0.985075,0.444444,0.5,0,0.777778,0.571429,0.512821,1,0.842105,1,1,0.4,0.615385,0.333333] f_measure 0.703866 [0,0.777778,0.444444,0.6,0,0.484848,0.985075,0.5,0,0.666667,0.666667,0.857143,0.736842,0.923077,0.545455,1,0,0,0.75,0.25] f_measure 0.742798 [0.5,0.8,0.4,0.444444,0,0.580645,1,0.4,0.666667,0,0.631579,0.666667,0.540541,1,0.818182,0.888889,0.666667,0.666667,0.740741,0.888889] f_measure 0.719297 [0,0.923077,0.4,0.5,0,0.551724,1,0.444444,0.5,1,0.8,0.5,0.65,0.8,0.727273,0.947368,0.5,0.857143,0.434783,0.571429] f_measure 0.757162 [0.666667,0.714286,0,0.666667,0,0.685714,1,0.25,0,0,0.9,0.666667,0.666667,0.8,0.9,1,0,0.857143,0.695652,0.666667] f_measure 0.700785 [0,0.571429,0.363636,0.285714,0,0.594595,0.985075,0,0.666667,0,0.6,0.571429,0.714286,0.923077,0.8,0.947368,0.666667,0.571429,0.666667,0.8] f_measure 0.663929 [0,0.875,0,0.6,0,0.461538,1,0,0,0.666667,0.6,0.428571,0.533333,0.933333,0.695652,1,0,0.4,0.571429,0.5] f_measure 0.721045 [0.666667,0.769231,0.333333,0.666667,0,0.5625,0.985507,0.333333,0,0,0.666667,0.533333,0.731707,0.923077,0.666667,1,1,0.8,0.56,0.5] f_measure 0.673887 [0.4,0.714286,0.285714,0.333333,0,0.470588,1,0.666667,0.5,1,0.470588,0.571429,0.514286,0.909091,0.592593,1,0.5,0.4,0.64,0.666667] f_measure 0.690129 [0,0.8,0.333333,0.5,0,0.625,1,0,0.666667,0,0.631579,0.5,0.486486,0.923077,0.695652,1,0,0.857143,0.608696,0.75] f_measure 0.71324 [0,0.875,0.285714,0.5,0,0.588235,0.985075,0.25,0,0,0.727273,0.666667,0.5,0.933333,0.666667,1,0,0.5,0.888889,0.4] f_measure 0.750526 [0,0.615385,0.285714,0.727273,0,0.666667,0.985075,0.857143,0.8,1,0.705882,0.444444,0.606061,0.8,0.7,1,0,1,0.714286,0.666667] f_measure 0.681516 [0,0.8,0.25,0.727273,0,0.533333,0.985075,0,0,0,0.636364,0.533333,0.604651,0.923077,0.695652,1,0,0.4,0.526316,0.75] f_measure 0.743394 [0,0.769231,0.8,0.8,0,0.685714,1,0.571429,0,0,0.6,0.571429,0.606061,0.8,0.538462,1,1,0.571429,0.7,0.75] f_measure 0.701163 [0,0.857143,0.333333,0.5,0,0.5,1,0.5,0.5,0,0.470588,0.461538,0.578947,0.923077,0.72,1,1,0.75,0.571429,0.666667] kappa 0.700754 kappa 0.714403 kappa 0.673774 kappa 0.743737 kappa 0.674307 kappa 0.730815 kappa 0.671534 kappa 0.722065 kappa 0.721671 kappa 0.658861 kappa 0.708371 kappa 0.687489 kappa 0.667332 kappa 0.729105 kappa 0.687318 kappa 0.713853 kappa 0.722648 kappa 0.702493 kappa 0.706928 kappa 0.686289 kappa 0.814718 kappa 0.750411 kappa 0.659946 kappa 0.644388 kappa 0.652419 kappa 0.637127 kappa 0.702844 kappa 0.715756 kappa 0.687075 kappa 0.631323 kappa 0.694173 kappa 0.72971 kappa 0.714076 kappa 0.680051 kappa 0.742881 kappa 0.715003 kappa 0.69402 kappa 0.722382 kappa 0.672986 kappa 0.674218 kappa 0.695077 kappa 0.700877 kappa 0.728708 kappa 0.765894 kappa 0.743667 kappa 0.644144 kappa 0.652987 kappa 0.700849 kappa 0.735944 kappa 0.721963 kappa 0.680532 kappa 0.708185 kappa 0.750776 kappa 0.707852 kappa 0.72955 kappa 0.707865 kappa 0.727874 kappa 0.687047 kappa 0.722496 kappa 0.694355 kappa 0.650096 kappa 0.608648 kappa 0.751026 kappa 0.666363 kappa 0.657457 kappa 0.716002 kappa 0.674469 kappa 0.643151 kappa 0.694925 kappa 0.707785 kappa 0.701843 kappa 0.744076 kappa 0.744041 kappa 0.637507 kappa 0.723039 kappa 0.673417 kappa 0.678616 kappa 0.707919 kappa 0.730668 kappa 0.750092 kappa 0.687929 kappa 0.716041 kappa 0.651754 kappa 0.709154 kappa 0.665801 kappa 0.7219 kappa 0.686861 kappa 0.722635 kappa 0.694522 kappa 0.743409 kappa 0.686059 kappa 0.644323 kappa 0.700302 kappa 0.644485 kappa 0.665968 kappa 0.694355 kappa 0.715795 kappa 0.665633 kappa 0.714821 kappa 0.673135 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 104.775028 kb_relative_information_score 105.760392 kb_relative_information_score 125.23956 kb_relative_information_score 115.387191 kb_relative_information_score 101.688289 kb_relative_information_score 98.608478 kb_relative_information_score 99.296476 kb_relative_information_score 97.204377 kb_relative_information_score 108.57101 kb_relative_information_score 108.362755 kb_relative_information_score 102.5805 kb_relative_information_score 97.30751 kb_relative_information_score 105.976123 kb_relative_information_score 112.290991 kb_relative_information_score 107.306581 kb_relative_information_score 104.54413 kb_relative_information_score 113.28729 kb_relative_information_score 108.808452 kb_relative_information_score 106.348071 kb_relative_information_score 109.853313 kb_relative_information_score 103.294948 kb_relative_information_score 103.515402 kb_relative_information_score 109.748438 kb_relative_information_score 106.352483 kb_relative_information_score 109.173917 kb_relative_information_score 117.857621 kb_relative_information_score 113.545997 kb_relative_information_score 97.23228 kb_relative_information_score 98.991733 kb_relative_information_score 106.769339 kb_relative_information_score 111.552068 kb_relative_information_score 107.57001 kb_relative_information_score 106.129122 kb_relative_information_score 107.510454 kb_relative_information_score 114.451594 kb_relative_information_score 106.120198 kb_relative_information_score 110.749286 kb_relative_information_score 106.498736 kb_relative_information_score 110.009759 kb_relative_information_score 103.578423 kb_relative_information_score 110.430978 kb_relative_information_score 105.71951 kb_relative_information_score 96.070084 kb_relative_information_score 91.899894 kb_relative_information_score 114.682386 kb_relative_information_score 100.873299 kb_relative_information_score 97.713815 kb_relative_information_score 109.879305 kb_relative_information_score 102.979778 kb_relative_information_score 95.892203 kb_relative_information_score 107.52689 kb_relative_information_score 106.864008 kb_relative_information_score 107.271139 kb_relative_information_score 113.584384 kb_relative_information_score 112.600579 kb_relative_information_score 95.304787 kb_relative_information_score 109.931417 kb_relative_information_score 104.293069 kb_relative_information_score 103.579859 kb_relative_information_score 108.762949 kb_relative_information_score 113.11669 kb_relative_information_score 113.675451 kb_relative_information_score 104.737128 kb_relative_information_score 110.502567 kb_relative_information_score 100.604007 kb_relative_information_score 109.138563 kb_relative_information_score 101.218594 kb_relative_information_score 109.061167 kb_relative_information_score 103.119355 kb_relative_information_score 112.589215 kb_relative_information_score 106.500735 kb_relative_information_score 112.250405 kb_relative_information_score 103.386532 kb_relative_information_score 97.67325 kb_relative_information_score 105.78515 kb_relative_information_score 99.351595 kb_relative_information_score 100.774437 kb_relative_information_score 104.094508 kb_relative_information_score 109.863149 kb_relative_information_score 100.246579 kb_relative_information_score 108.328464 kb_relative_information_score 103.112054 mean_absolute_error 0.026923 mean_absolute_error 0.025642 mean_absolute_error 0.029439 mean_absolute_error 0.023077 mean_absolute_error 0.029322 mean_absolute_error 0.024046 mean_absolute_error 0.029485 mean_absolute_error 0.025103 mean_absolute_error 0.025014 mean_absolute_error 0.030786 mean_absolute_error 0.026282 mean_absolute_error 0.02821 mean_absolute_error 0.030128 mean_absolute_error 0.024331 mean_absolute_error 0.028371 mean_absolute_error 0.025526 mean_absolute_error 0.025132 mean_absolute_error 0.026923 mean_absolute_error 0.026446 mean_absolute_error 0.028222 mean_absolute_error 0.016667 mean_absolute_error 0.022232 mean_absolute_error 0.030768 mean_absolute_error 0.032014 mean_absolute_error 0.03141 mean_absolute_error 0.032692 mean_absolute_error 0.026923 mean_absolute_error 0.025633 mean_absolute_error 0.028205 mean_absolute_error 0.033333 mean_absolute_error 0.027566 mean_absolute_error 0.024359 mean_absolute_error 0.025642 mean_absolute_error 0.028847 mean_absolute_error 0.023077 mean_absolute_error 0.025662 mean_absolute_error 0.027564 mean_absolute_error 0.025012 mean_absolute_error 0.029487 mean_absolute_error 0.029481 mean_absolute_error 0.027058 mean_absolute_error 0.026923 mean_absolute_error 0.02438 mean_absolute_error 0.021157 mean_absolute_error 0.023077 mean_absolute_error 0.032334 mean_absolute_error 0.031407 mean_absolute_error 0.026909 mean_absolute_error 0.023575 mean_absolute_error 0.025065 mean_absolute_error 0.028846 mean_absolute_error 0.02628 mean_absolute_error 0.022724 mean_absolute_error 0.026282 mean_absolute_error 0.024316 mean_absolute_error 0.026282 mean_absolute_error 0.024385 mean_absolute_error 0.028205 mean_absolute_error 0.025 mean_absolute_error 0.027427 mean_absolute_error 0.031426 mean_absolute_error 0.035041 mean_absolute_error 0.022535 mean_absolute_error 0.030312 mean_absolute_error 0.030586 mean_absolute_error 0.025663 mean_absolute_error 0.029409 mean_absolute_error 0.032192 mean_absolute_error 0.027564 mean_absolute_error 0.026123 mean_absolute_error 0.026923 mean_absolute_error 0.023077 mean_absolute_error 0.022881 mean_absolute_error 0.032679 mean_absolute_error 0.025028 mean_absolute_error 0.029491 mean_absolute_error 0.028547 mean_absolute_error 0.026282 mean_absolute_error 0.024835 mean_absolute_error 0.022554 mean_absolute_error 0.028205 mean_absolute_error 0.025597 mean_absolute_error 0.031412 mean_absolute_error 0.026282 mean_absolute_error 0.029914 mean_absolute_error 0.02505 mean_absolute_error 0.028139 mean_absolute_error 0.024966 mean_absolute_error 0.027653 mean_absolute_error 0.022803 mean_absolute_error 0.028068 mean_absolute_error 0.031752 mean_absolute_error 0.026957 mean_absolute_error 0.032095 mean_absolute_error 0.030168 mean_absolute_error 0.027563 mean_absolute_error 0.025746 mean_absolute_error 0.03013 mean_absolute_error 0.025641 mean_absolute_error 0.029421 mean_prior_absolute_error 0.089926 mean_prior_absolute_error 0.089868 mean_prior_absolute_error 0.089978 mean_prior_absolute_error 0.08988 mean_prior_absolute_error 0.08997 mean_prior_absolute_error 0.089927 mean_prior_absolute_error 0.08991 mean_prior_absolute_error 0.089884 mean_prior_absolute_error 0.089853 mean_prior_absolute_error 0.089954 mean_prior_absolute_error 0.089807 mean_prior_absolute_error 0.089902 mean_prior_absolute_error 0.08994 mean_prior_absolute_error 0.089763 mean_prior_absolute_error 0.089901 mean_prior_absolute_error 0.0899 mean_prior_absolute_error 0.089929 mean_prior_absolute_error 0.089877 mean_prior_absolute_error 0.089885 mean_prior_absolute_error 0.089898 mean_prior_absolute_error 0.089907 mean_prior_absolute_error 0.089926 mean_prior_absolute_error 0.089897 mean_prior_absolute_error 0.089875 mean_prior_absolute_error 0.089901 mean_prior_absolute_error 0.089918 mean_prior_absolute_error 0.08997 mean_prior_absolute_error 0.089869 mean_prior_absolute_error 0.089885 mean_prior_absolute_error 0.089906 mean_prior_absolute_error 0.089892 mean_prior_absolute_error 0.089935 mean_prior_absolute_error 0.089897 mean_prior_absolute_error 0.089875 mean_prior_absolute_error 0.089866 mean_prior_absolute_error 0.08986 mean_prior_absolute_error 0.08997 mean_prior_absolute_error 0.089927 mean_prior_absolute_error 0.089894 mean_prior_absolute_error 0.089875 mean_prior_absolute_error 0.089914 mean_prior_absolute_error 0.089907 mean_prior_absolute_error 0.089905 mean_prior_absolute_error 0.089933 mean_prior_absolute_error 0.089881 mean_prior_absolute_error 0.089986 mean_prior_absolute_error 0.08997 mean_prior_absolute_error 0.089927 mean_prior_absolute_error 0.089896 mean_prior_absolute_error 0.089899 mean_prior_absolute_error 0.089913 mean_prior_absolute_error 0.089894 mean_prior_absolute_error 0.089909 mean_prior_absolute_error 0.089927 mean_prior_absolute_error 0.089881 mean_prior_absolute_error 0.089966 mean_prior_absolute_error 0.089859 mean_prior_absolute_error 0.089931 mean_prior_absolute_error 0.089879 mean_prior_absolute_error 0.089889 mean_prior_absolute_error 0.089966 mean_prior_absolute_error 0.089892 mean_prior_absolute_error 0.089898 mean_prior_absolute_error 0.08997 mean_prior_absolute_error 0.089953 mean_prior_absolute_error 0.089951 mean_prior_absolute_error 0.089918 mean_prior_absolute_error 0.089964 mean_prior_absolute_error 0.090058 mean_prior_absolute_error 0.089926 mean_prior_absolute_error 0.089974 mean_prior_absolute_error 0.089947 mean_prior_absolute_error 0.089919 mean_prior_absolute_error 0.090013 mean_prior_absolute_error 0.089893 mean_prior_absolute_error 0.089897 mean_prior_absolute_error 0.089918 mean_prior_absolute_error 0.089904 mean_prior_absolute_error 0.090058 mean_prior_absolute_error 0.089867 mean_prior_absolute_error 0.089974 mean_prior_absolute_error 0.089958 mean_prior_absolute_error 0.089984 mean_prior_absolute_error 0.09001 mean_prior_absolute_error 0.089996 mean_prior_absolute_error 0.089897 mean_prior_absolute_error 0.089918 mean_prior_absolute_error 0.089994 mean_prior_absolute_error 0.089996 mean_prior_absolute_error 0.090015 mean_prior_absolute_error 0.089968 mean_prior_absolute_error 0.090013 mean_prior_absolute_error 0.089914 mean_prior_absolute_error 0.089994 mean_prior_absolute_error 0.090001 mean_prior_absolute_error 0.089938 mean_prior_absolute_error 0.089879 mean_prior_absolute_error 0.089963 mean_prior_absolute_error 0.089838 mean_prior_absolute_error 0.090012 number_of_instances 156 [1,7,4,5,1,20,34,5,1,1,10,4,16,7,9,10,1,4,13,3] number_of_instances 156 [2,8,3,5,0,19,35,4,2,1,9,4,16,6,10,10,1,4,13,4] number_of_instances 156 [2,8,4,5,0,19,34,5,2,1,9,4,16,7,10,10,1,3,13,3] number_of_instances 156 [2,8,4,5,1,20,34,4,1,1,9,4,17,6,10,10,1,3,13,3] number_of_instances 156 [2,7,3,5,1,19,34,5,1,1,10,4,17,7,9,9,1,4,13,4] number_of_instances 156 [2,8,3,5,0,20,34,5,1,1,9,4,16,7,9,10,1,4,13,4] number_of_instances 156 [2,8,4,5,0,20,34,4,1,1,9,4,16,7,10,10,1,3,13,4] number_of_instances 156 [2,8,3,5,0,20,34,4,2,1,9,4,17,7,9,10,1,3,13,4] number_of_instances 156 [1,8,3,5,0,20,34,4,2,1,10,4,17,7,9,10,1,4,13,3] number_of_instances 156 [1,8,3,6,0,19,34,4,2,1,9,4,17,6,9,10,2,4,13,4] number_of_instances 156 [1,8,4,5,0,20,35,4,2,1,9,4,16,7,9,10,1,3,13,4] number_of_instances 156 [1,8,3,5,1,20,34,4,2,1,10,4,17,6,9,9,1,4,13,4] number_of_instances 156 [1,8,3,5,0,19,34,4,2,2,10,4,17,6,9,10,1,4,13,4] number_of_instances 156 [2,8,3,5,0,20,35,4,1,2,9,4,17,7,9,10,1,3,13,3] number_of_instances 156 [1,7,3,5,1,20,34,5,2,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [2,7,3,5,0,20,34,4,2,1,9,4,17,7,9,10,1,4,13,4] number_of_instances 156 [2,8,4,5,0,20,34,5,1,1,9,4,16,7,9,10,1,3,13,4] number_of_instances 156 [2,8,3,5,0,20,34,4,1,1,9,4,17,7,9,10,1,4,13,4] number_of_instances 156 [1,8,4,5,0,20,34,5,2,1,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [2,8,3,6,0,20,34,4,2,1,9,4,17,6,9,10,2,3,13,3] number_of_instances 156 [1,8,3,5,0,20,34,4,2,2,9,4,17,6,9,10,2,3,13,4] number_of_instances 156 [1,8,4,5,1,20,34,4,2,1,9,4,17,6,9,9,1,4,13,4] number_of_instances 156 [1,8,3,5,0,20,34,4,2,1,9,4,17,6,9,10,2,4,13,4] number_of_instances 156 [1,8,3,5,0,20,34,4,2,1,9,4,17,7,9,10,1,4,13,4] number_of_instances 156 [1,7,3,5,1,20,34,5,2,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [2,7,4,6,0,20,34,4,2,1,9,4,17,7,9,9,1,4,13,3] number_of_instances 156 [2,8,3,5,0,19,34,5,2,1,9,4,17,7,9,9,1,4,13,4] number_of_instances 156 [2,8,3,6,0,20,34,4,1,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [1,8,4,5,0,20,34,5,2,1,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [2,8,4,5,0,20,34,4,2,1,9,4,17,6,9,10,2,3,13,3] number_of_instances 156 [1,8,3,6,0,20,34,4,2,1,9,4,17,6,10,9,2,3,13,4] number_of_instances 156 [1,7,4,6,1,20,34,4,2,1,9,4,17,6,9,9,1,4,13,4] number_of_instances 156 [1,8,3,5,0,20,34,4,2,1,9,4,17,6,9,10,2,4,13,4] number_of_instances 156 [1,8,3,5,0,20,34,4,2,1,9,4,17,7,9,10,1,4,13,4] number_of_instances 156 [1,8,4,5,0,20,34,4,2,1,9,4,17,6,10,10,1,4,13,3] number_of_instances 156 [2,7,4,6,0,19,35,4,2,1,9,4,17,7,9,9,1,4,13,3] number_of_instances 156 [2,8,3,5,0,19,34,5,2,1,9,4,17,7,9,9,1,4,13,4] number_of_instances 156 [2,7,4,6,0,20,34,5,2,1,9,4,17,6,9,9,1,4,13,3] number_of_instances 156 [2,8,4,5,0,20,34,5,2,1,9,4,17,6,9,10,1,3,13,3] number_of_instances 156 [2,8,4,5,0,20,34,4,2,1,9,4,17,6,10,10,1,3,13,3] number_of_instances 156 [1,8,3,6,0,20,34,4,2,1,9,4,17,6,9,9,2,4,13,4] number_of_instances 156 [1,7,4,6,1,20,34,5,2,1,9,4,17,6,9,10,1,3,13,3] number_of_instances 156 [1,7,3,6,0,20,34,4,2,1,9,4,17,6,9,10,2,4,13,4] number_of_instances 156 [1,8,3,6,0,19,34,4,2,1,9,4,17,7,9,10,1,4,13,4] number_of_instances 156 [1,8,4,6,0,20,34,4,2,1,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [1,7,4,6,1,19,34,4,2,1,10,4,17,6,9,9,2,4,13,3] number_of_instances 156 [2,8,3,5,0,19,34,5,2,1,9,4,17,7,9,9,1,4,13,4] number_of_instances 156 [2,7,4,6,0,20,34,5,2,1,9,4,17,6,9,9,1,4,13,3] number_of_instances 156 [2,8,3,5,0,20,34,5,1,2,9,4,17,6,9,10,1,3,13,4] number_of_instances 156 [2,8,4,5,0,20,34,4,1,2,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [2,8,3,6,0,20,34,4,2,1,9,4,17,6,9,9,1,4,13,4] number_of_instances 156 [1,7,3,6,1,20,34,5,2,1,9,4,17,7,9,10,1,3,13,3] number_of_instances 156 [1,7,3,6,1,20,34,4,2,1,9,4,17,6,9,10,1,4,13,4] number_of_instances 156 [1,7,3,6,0,19,34,4,2,1,10,4,17,7,9,10,1,4,13,4] number_of_instances 156 [1,8,4,6,0,20,34,4,2,1,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [1,8,3,6,1,19,34,4,2,1,9,4,17,6,9,10,2,4,13,3] number_of_instances 156 [1,7,3,6,1,19,35,4,2,1,9,4,17,6,9,10,2,4,13,3] number_of_instances 156 [1,7,4,6,1,20,34,5,2,1,9,4,17,6,9,9,1,4,13,3] number_of_instances 156 [2,8,3,5,1,20,34,4,1,1,9,4,17,6,10,10,1,3,13,4] number_of_instances 156 [2,8,3,5,1,20,34,4,1,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [2,8,3,6,1,19,34,4,2,1,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [2,7,3,6,0,20,34,5,1,1,9,4,17,7,9,10,2,3,13,3] number_of_instances 156 [2,7,3,6,1,20,34,4,1,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [1,7,3,6,1,19,34,5,2,1,9,4,17,6,9,10,1,4,13,4] number_of_instances 156 [2,8,3,6,0,20,34,4,2,2,9,4,16,6,9,10,1,3,13,4] number_of_instances 156 [1,8,3,5,1,19,34,4,2,1,9,4,17,6,10,10,2,4,13,3] number_of_instances 156 [1,7,3,6,1,20,34,4,2,1,9,4,17,6,9,10,2,4,13,3] number_of_instances 156 [1,7,3,5,1,19,34,5,2,1,10,4,17,6,9,10,2,4,13,3] 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 [1,7,3,5,1,20,34,5,2,1,9,4,17,7,9,9,1,4,13,4] 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 [2,8,3,5,0,19,34,5,1,1,9,4,17,7,9,10,2,4,13,3] number_of_instances 156 [2,7,3,6,1,20,34,5,1,1,9,4,17,7,9,9,1,4,13,3] number_of_instances 156 [2,7,3,6,1,19,34,5,2,1,9,4,17,6,9,9,2,4,13,3] number_of_instances 156 [2,8,3,6,0,19,35,4,2,1,9,4,16,6,9,10,2,3,13,4] 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 [1,7,3,6,1,20,34,4,2,1,9,4,17,6,9,10,2,4,13,3] number_of_instances 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 0.740064 [0,0.833333,0.2,1,0,0.833333,1,0.75,0,1,0.4,0.5,0.625,0.7,0.6,1,0,0,0.8,0.5] precision 0.759563 [0,0.777778,0,0.571429,0,0.769231,1,0.333333,0.5,0.5,0.727273,0.375,0.722222,1,0.666667,1,0,1,0.727273,0.75] 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 0.670486 [0,0.875,0,1,0,0.6,1,0,0,0,0.6,0.444444,0.4375,1,0.625,1,0,0,0.529412,0.571429] precision 0.773929 [1,0.777778,0,1,0,0.833333,1,0.25,0.5,1,0.555556,0.5,0.583333,1,0.615385,1,0,0.5,0.888889,0.333333] precision 0.752204 [0,0.625,0.333333,0.666667,0,0.8125,1,0.5,0.5,0,0.625,0.363636,0.631579,0.833333,0.8,1,0,0.5,0.714286,0.666667] precision 0.732379 [0,0.833333,0.2,0.8,0,0.75,1,1,0,0,0.75,0.375,0.541667,0.625,0.571429,1,1,0.5,0.583333,0.5] precision 0.758484 [0,0.888889,0,0.5,0,0.9,1,0.4,0,0,0.857143,0.5,0.625,1,0.473684,1,0,1,0.642857,0.444444] precision 0.757105 [0,1,0.142857,1,0,0.727273,1,0.5,0.333333,0,0.666667,0.333333,0.636364,1,0.615385,1,0,0.5,0.777778,0.5] 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 0.743872 [1,0.857143,0,1,0,0.545455,1,1,0.5,0,0.444444,0.444444,0.5,1,0.583333,1,1,1,0.75,0.333333] precision 0.855617 [1,1,0.166667,0.8,0,0.75,1,0.5,1,1,1,0.8,0.736842,1,0.666667,1,1,0.75,0.846154,0.75] precision 0.74801 [1,0.8,0,1,0,0.647059,1,1,1,0,0.625,0.444444,0.722222,0.857143,0.666667,1,1,0,0.625,0.6] precision 0.697595 [1,0.714286,0.333333,0.75,0,0.636364,1,0.333333,0,1,0.777778,0.25,0.6,0.75,0.666667,1,0.333333,0,0.533333,0.5] precision 0.67797 [0.5,1,0,0.6,0,0.583333,1,0,0,0,0.7,0.444444,0.521739,0.636364,0.571429,1,1,1,0.454545,0.285714] precision 0.735699 [1,0.8,0,0.5,0,0.642857,1,1,0,1,0.75,0.307692,0.666667,1,0.421053,1,0.5,0.333333,0.75,0.375] precision 0.704741 [1,0.857143,0.5,0.75,0,0.615385,0.971429,0.5,0,0,0.555556,0.363636,0.470588,1,0.428571,1,0,1,0.666667,0.375] precision 0.75734 [0,1,0.333333,0.5,0,0.769231,1,0.5,0,1,0.727273,0.4,0.642857,0.777778,0.5,1,0,0.8,0.777778,0.8] precision 0.779505 [0,0.714286,0.75,0.666667,0,0.8,1,0.5,0,0,0.857143,0.272727,0.666667,1,0.5,1,0,1,0.75,0.75] precision 0.734783 [0,0.875,0,0.8,0,0.833333,1,0.25,0,0,0.5,0.8,0.647059,0.857143,0.444444,1,0,1,0.666667,0.4] precision 0.698924 [0,0.666667,0.5,1,0,0.6,1,0.5,1,0,0.461538,0.333333,0.6,0.625,0.421053,1,1,0.666667,0.555556,0.75] precision 0.736727 [0,1,0.333333,0.714286,0,0.8,1,0,0.5,0,0.666667,0.272727,0.478261,0.857143,0.5625,1,0,1,0.727273,0.8] precision 0.769676 [0,1,0,0.8,0,0.785714,1,0.666667,1,1,0.444444,0.444444,0.5625,1,0.5625,1,1,1,0.714286,0.8] precision 0.740135 [0,0.714286,0,0.75,0,0.722222,1,1,1,0,0.75,0.428571,0.55,0.714286,0.642857,1,0,0.666667,0.692308,0.5] precision 0.739649 [0.5,0.833333,0.166667,1,0,0.583333,1,0.666667,0.5,0,0.714286,0.428571,0.47619,0.875,0.533333,1,0,0.666667,0.888889,0.5] precision 0.784823 [1,0.857143,1,1,0,0.666667,1,0.4,0,0,1,0.375,0.608696,0.857143,0.529412,1,0,1,0.642857,1] precision 0.765738 [1,0.833333,0.2,0.833333,0,0.75,1,0.5,0,1,0.777778,0.3,0.583333,1,0.615385,1,0,0.666667,0.75,0.5] precision 0.766113 [1,1,0,0.666667,0,0.9,1,0.6,0,0,0.7,0.5,0.428571,0.714286,0.818182,1,1,0.666667,0.75,0.428571] precision 0.743377 [0,0.857143,0.25,0.5,0,0.714286,1,0.6,0,1,0.727273,0.5,0.55,0.857143,0.571429,1,0,1,0.846154,0.5] precision 0.718211 [0,1,0.4,0.5,0,0.555556,0.971429,1,1,0,0.6,0.5,0.6,0.857143,0.5,1,0,0.666667,0.636364,0.428571] precision 0.72617 [0,1,0.375,0.571429,0,0.727273,1,0.5,0.5,1,0.7,0.307692,0.461538,0.75,0.666667,1,0,0,0.818182,0.4] precision 0.746112 [0,1,0,0.666667,0,0.625,1,0.6,0.5,1,0.777778,0.4,0.545455,0.857143,0.615385,1,1,0.666667,0.636364,0.75] precision 0.735889 [0,0.833333,0.666667,0.8,0,0.6875,1,0.666667,0,0,0.454545,0.444444,0.52381,1,0.692308,1,0,0.5,0.777778,0.6] precision 0.776175 [0,0.666667,0,0.75,0,0.733333,1,1,0,1,0.777778,0.272727,0.590909,0.833333,0.818182,1,1,1,0.75,0.5] precision 0.787767 [0,0.875,0.6,0.833333,0,0.666667,1,0,0.5,0,0.75,0.5,0.75,0.875,0.533333,1,0,1,1,0.5] precision 0.750375 [0,0.8,0.5,0.8,0,0.6,1,0.5,1,0,0.888889,0.666667,0.636364,0.857143,0.692308,1,1,0,0.692308,0.333333] precision 0.6814 [0,0.8,0.333333,0.4,0,0.615385,1,0,0,1,0.636364,0.333333,0.52,0.625,0.642857,1,0.5,0.5,0.8,0.6] 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 0.757111 [0,0.857143,0.5,1,0,0.714286,1,0.75,0,0,1,0.444444,0.47619,0.75,0.421053,1,0,1,0.777778,0.6] precision 0.783384 [1,0.8,0,1,0,0.733333,1,0.5,0,1,0.888889,0.5,0.592593,0.6,0.692308,1,0.5,1,0.818182,0.4] precision 0.770998 [0,0.857143,0.333333,0.5,0,0.857143,1,0.5,0,0,0.777778,0.363636,0.521739,1,0.7,1,0,1,0.909091,0.333333] precision 0.736797 [0.25,0.777778,0.25,0.8,0,0.727273,1,0.8,1,0,0.5,0.666667,0.368421,0.857143,0.583333,1,1,1,0.7,0.5] precision 0.743996 [0,0.8,0.5,0.75,0,0.692308,1,0.666667,0.5,0,0.666667,0.4,0.590909,1,0.615385,1,0,0.5,0.7,0.5] precision 0.780224 [0,1,0,1,0,0.727273,1,0.5,0.5,0,0.636364,0.444444,0.590909,1,0.642857,1,1,1,0.833333,0.5] precision 0.778608 [1,1,0.333333,1,0,0.923077,0.971429,0.5,0,0,0.777778,0.230769,0.619048,0.875,0.538462,1,1,0.5,0.7,0.4] precision 0.782126 [0,0.875,0.5,0.8,0,0.8125,1,0.666667,0.5,0,0.666667,0.363636,0.578947,0.8,0.571429,1,0.5,0.5,0.888889,1] precision 0.741218 [0,0.5,0,0.75,0,0.8125,1,0.333333,0.333333,1,0.777778,0.333333,0.647059,0.833333,0.727273,1,1,0.666667,0.588235,0.5] precision 0.779859 [0,0.666667,1,0.75,0,0.833333,1,1,0.666667,0,0.5,0.666667,0.551724,0.714286,0.615385,1,1,1,0.727273,0.5] precision 0.744848 [0,0.875,0.2,1,0,0.714286,0.969697,1,0,0,0.833333,0.571429,0.555556,0.714286,0.5625,1,0,1,0.6875,0.166667] precision 0.779941 [1,1,0.5,0.666667,0,0.642857,1,0.666667,0,0,1,0.363636,0.636364,0.833333,0.526316,1,0,1,0.777778,0.666667] precision 0.747778 [0,0.833333,0,0.5,0,0.8,1,0.333333,0.25,1,0.625,0.444444,0.52381,0.833333,0.5625,1,0,0.75,0.9,1] precision 0.671076 [0,0.5,0,0.75,0,0.8,1,0.5,0,0,0.583333,0.333333,0.478261,0.571429,0.727273,1,0,0.5,0.5,0.6] precision 0.680952 [0,0.666667,0,0.8,0,0.666667,1,0.333333,0,0,0.571429,0.333333,0.428571,0.75,0.583333,1,1,0.5,0.615385,0.666667] precision 0.786423 [0,1,0.75,0.833333,0,0.75,1,0.6,0,0,0.777778,0.5,0.555556,0.875,0.5625,1,0,0.6,1,0.666667] precision 0.722633 [0,0.666667,0.666667,0.625,0,0.75,1,0,0,1,0.7,0.285714,0.588235,1,0.5,1,0.333333,1,0.727273,0.333333] precision 0.725282 [0,0.666667,0.2,1,0,0.75,0.971429,0.5,0,0.5,0.8,0.2,0.518519,1,0.642857,1,0,1,0.7,0] precision 0.765445 [0,1,1,0.8,0,0.8,1,0.6,0.5,0,0.636364,0.375,0.571429,0.857143,0.5625,1,0,1,0.7,0.333333] precision 0.747597 [0,1,0.2,1,0,0.888889,1,0.428571,0,0,0.5,0.333333,0.526316,0.75,0.642857,1,0,1,0.666667,0.6] precision 0.701842 [0,0.666667,0.25,0.5,0,0.647059,1,0.5,1,0,0.615385,0.375,0.55,0.555556,0.5,1,1,0.666667,0.636364,1] precision 0.735093 [0,1,0,0.714286,0,0.642857,1,0.666667,1,1,0.636364,0.375,0.470588,1,0.636364,1,1,0.5,0.642857,0.666667] precision 0.722965 [0,0.75,0.2,1,0,0.769231,1,0.666667,0,0,0.571429,0.4,0.565217,0.875,0.642857,1,0,0,0.714286,0.666667] precision 0.763309 [1,0.833333,0.333333,1,0,0.833333,1,0.5,0.5,0,0.5,0.444444,0.578947,0.875,0.529412,1,1,0.5,0.8,0.5] precision 0.792063 [0,0.7,0.666667,0.8,0,0.857143,1,0.6,0,1,0.666667,0.4,0.705882,0.833333,0.571429,1,1,1,0.7,0.666667] precision 0.781786 [0,0.875,0,0.714286,0,0.888889,1,0.666667,0,0,0.777778,0.5,0.631579,1,0.5,1,0,1,0.8,0.6] precision 0.680439 [0,1,0,0.285714,0,0.769231,1,0.333333,0,0,0.444444,0.363636,0.47619,0.714286,0.6,1,0,1,0.666667,0.75] precision 0.770798 [0,1,0.166667,1,0,0.642857,1,0.5,0.5,0,0.777778,0.4,0.777778,0.6,0.642857,1,0,1,0.7,0.75] precision 0.708982 [0,1,0.333333,1,0,0.5,1,0,0.5,0.5,0.545455,0.444444,0.666667,0.75,0.466667,1,1,1,0.666667,0.428571] precision 0.734203 [0,0.8,0.5,0.8,0,0.666667,1,0.666667,1,1,0.75,0.4,0.5,0.833333,0.5,1,0,0.5,0.714286,0.666667] precision 0.743325 [0,0.777778,0.5,0.666667,0,0.636364,1,1,0.333333,0,0.615385,0.444444,0.555556,1,0.583333,1,1,0.666667,0.642857,0.666667] precision 0.772976 [0.333333,0.7,0.333333,0.75,0,0.8125,1,0.5,0.5,1,0.545455,0.6,0.461538,1,0.75,1,0.5,1,0.818182,0.75] precision 0.758868 [1,0.75,0,0.75,0,0.727273,1,0.5,0,1,0.692308,0.666667,0.7,0.875,0.642857,1,0,1,0.642857,0.5] precision 0.739968 [0,0.857143,0.5,0.6,0,0.8,1,0.5,0,1,0.777778,0.3,0.578947,0.875,0.571429,1,0,1,0.6,0.375] precision 0.767242 [1,0.8,0.5,0.6,0,0.8,1,0.4,1,1,0.636364,0.428571,0.631579,0.625,0.533333,1,0,1,0.818182,0.333333] precision 0.722963 [1,0.857143,0.25,1,0,0.583333,1,0.333333,1,0,0.555556,0.444444,0.521739,0.777778,0.5,1,1,1,0.583333,1] 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 root_mean_squared_error 0.154719 root_mean_squared_error 0.161835 root_mean_squared_error 0.155912 root_mean_squared_error 0.167909 root_mean_squared_error 0.158114 root_mean_squared_error 0.165074 root_mean_squared_error 0.176648 root_mean_squared_error 0.186531 root_mean_squared_error 0.149823 root_mean_squared_error 0.173715 root_mean_squared_error 0.174513 root_mean_squared_error 0.160047 root_mean_squared_error 0.171016 root_mean_squared_error 0.179101 root_mean_squared_error 0.165677 root_mean_squared_error 0.161121 root_mean_squared_error 0.16405 root_mean_squared_error 0.15191 root_mean_squared_error 0.150813 root_mean_squared_error 0.180412 root_mean_squared_error 0.158118 root_mean_squared_error 0.171713 root_mean_squared_error 0.168403 root_mean_squared_error 0.162115 root_mean_squared_error 0.156127 root_mean_squared_error 0.149785 root_mean_squared_error 0.167469 root_mean_squared_error 0.159471 root_mean_squared_error 0.177122 root_mean_squared_error 0.162008 root_mean_squared_error 0.172544 root_mean_squared_error 0.157902 root_mean_squared_error 0.167571 root_mean_squared_error 0.157882 root_mean_squared_error 0.166054 root_mean_squared_error 0.150303 root_mean_squared_error 0.167165 root_mean_squared_error 0.177317 root_mean_squared_error 0.164087 root_mean_squared_error 0.178544 root_mean_squared_error 0.173488 root_mean_squared_error 0.165991 root_mean_squared_error 0.158943 root_mean_squared_error 0.173425 root_mean_squared_error 0.160127 root_mean_squared_error 0.171273 root_relative_squared_error 0.772024 root_relative_squared_error 0.755865 root_relative_squared_error 0.804996 root_relative_squared_error 0.716442 root_relative_squared_error 0.805695 root_relative_squared_error 0.729038 root_relative_squared_error 0.807086 root_relative_squared_error 0.746353 root_relative_squared_error 0.745711 root_relative_squared_error 0.827261 root_relative_squared_error 0.76288 root_relative_squared_error 0.792505 root_relative_squared_error 0.818702 root_relative_squared_error 0.734325 root_relative_squared_error 0.791968 root_relative_squared_error 0.748979 root_relative_squared_error 0.746227 root_relative_squared_error 0.772427 root_relative_squared_error 0.765499 root_relative_squared_error 0.792308 root_relative_squared_error 0.609166 root_relative_squared_error 0.699744 root_relative_squared_error 0.82777 root_relative_squared_error 0.841324 root_relative_squared_error 0.832175 root_relative_squared_error 0.852321 root_relative_squared_error 0.771302 root_relative_squared_error 0.755374 root_relative_squared_error 0.792659 root_relative_squared_error 0.861499 root_relative_squared_error 0.782972 root_relative_squared_error 0.736225 root_relative_squared_error 0.755671 root_relative_squared_error 0.800536 root_relative_squared_error 0.717139 root_relative_squared_error 0.755849 root_relative_squared_error 0.781239 root_relative_squared_error 0.745914 root_relative_squared_error 0.810387 root_relative_squared_error 0.810391 root_relative_squared_error 0.769309 root_relative_squared_error 0.774197 root_relative_squared_error 0.736447 root_relative_squared_error 0.686094 root_relative_squared_error 0.716981 root_relative_squared_error 0.845371 root_relative_squared_error 0.83495 root_relative_squared_error 0.773637 root_relative_squared_error 0.720248 root_relative_squared_error 0.745809 root_relative_squared_error 0.80119 root_relative_squared_error 0.764958 root_relative_squared_error 0.708809 root_relative_squared_error 0.764779 root_relative_squared_error 0.730272 root_relative_squared_error 0.763134 root_relative_squared_error 0.736085 root_relative_squared_error 0.792086 root_relative_squared_error 0.74631 root_relative_squared_error 0.779079 root_relative_squared_error 0.83299 root_relative_squared_error 0.880321 root_relative_squared_error 0.707028 root_relative_squared_error 0.819116 root_relative_squared_error 0.823044 root_relative_squared_error 0.754826 root_relative_squared_error 0.806864 root_relative_squared_error 0.844569 root_relative_squared_error 0.780457 root_relative_squared_error 0.76011 root_relative_squared_error 0.773512 root_relative_squared_error 0.716486 root_relative_squared_error 0.711531 root_relative_squared_error 0.850298 root_relative_squared_error 0.746214 root_relative_squared_error 0.810338 root_relative_squared_error 0.794533 root_relative_squared_error 0.764987 root_relative_squared_error 0.735467 root_relative_squared_error 0.707093 root_relative_squared_error 0.789631 root_relative_squared_error 0.752058 root_relative_squared_error 0.835055 root_relative_squared_error 0.76358 root_relative_squared_error 0.813364 root_relative_squared_error 0.74516 root_relative_squared_error 0.790602 root_relative_squared_error 0.744264 root_relative_squared_error 0.782769 root_relative_squared_error 0.708374 root_relative_squared_error 0.788251 root_relative_squared_error 0.83571 root_relative_squared_error 0.774205 root_relative_squared_error 0.841665 root_relative_squared_error 0.817764 root_relative_squared_error 0.782982 root_relative_squared_error 0.75023 root_relative_squared_error 0.81781 root_relative_squared_error 0.756161 root_relative_squared_error 0.807225 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 17000 usercpu_time_millis 17180 usercpu_time_millis 17030 usercpu_time_millis 16670 usercpu_time_millis 16480 usercpu_time_millis 16590 usercpu_time_millis 16440 usercpu_time_millis 16990 usercpu_time_millis 16890 usercpu_time_millis 17210 usercpu_time_millis 17010 usercpu_time_millis 17130 usercpu_time_millis 16620 usercpu_time_millis 16630 usercpu_time_millis 16650 usercpu_time_millis 16660 usercpu_time_millis 16500 usercpu_time_millis 17330 usercpu_time_millis 17060 usercpu_time_millis 17080 usercpu_time_millis 17300 usercpu_time_millis 16650 usercpu_time_millis 16530 usercpu_time_millis 17020 usercpu_time_millis 16690 usercpu_time_millis 16760 usercpu_time_millis 16770 usercpu_time_millis 17130 usercpu_time_millis 16980 usercpu_time_millis 17040 usercpu_time_millis 16570 usercpu_time_millis 16600 usercpu_time_millis 16820 usercpu_time_millis 16730 usercpu_time_millis 16760 usercpu_time_millis 16950 usercpu_time_millis 17020 usercpu_time_millis 16920 usercpu_time_millis 16750 usercpu_time_millis 16950 usercpu_time_millis 16600 usercpu_time_millis 16760 usercpu_time_millis 16690 usercpu_time_millis 16790 usercpu_time_millis 17100 usercpu_time_millis 16980 usercpu_time_millis 17000 usercpu_time_millis 17060 usercpu_time_millis 17950 usercpu_time_millis 16720 usercpu_time_millis 16760 usercpu_time_millis 16740 usercpu_time_millis 16490 usercpu_time_millis 17810 usercpu_time_millis 17250 usercpu_time_millis 16860 usercpu_time_millis 17340 usercpu_time_millis 17160 usercpu_time_millis 17090 usercpu_time_millis 16960 usercpu_time_millis 16640 usercpu_time_millis 16730 usercpu_time_millis 16810 usercpu_time_millis 17180 usercpu_time_millis 17150 usercpu_time_millis 16780 usercpu_time_millis 17440 usercpu_time_millis 16920 usercpu_time_millis 17210 usercpu_time_millis 16810 usercpu_time_millis 16710 usercpu_time_millis 16880 usercpu_time_millis 17020 usercpu_time_millis 17120 usercpu_time_millis 17320 usercpu_time_millis 16730 usercpu_time_millis 17030 usercpu_time_millis 17070 usercpu_time_millis 17450 usercpu_time_millis 16660 usercpu_time_millis 16810 usercpu_time_millis 17210 usercpu_time_millis 17100 usercpu_time_millis 17370 usercpu_time_millis 16670 usercpu_time_millis 16410 usercpu_time_millis 17380 usercpu_time_millis 17220 usercpu_time_millis 16970 usercpu_time_millis 16540 usercpu_time_millis 17210 usercpu_time_millis 16990 usercpu_time_millis 17290 usercpu_time_millis 16620 usercpu_time_millis 16620 usercpu_time_millis 16530 usercpu_time_millis 17110 usercpu_time_millis 17090 usercpu_time_millis 17120 usercpu_time_millis 16650 usercpu_time_millis_testing 11050 usercpu_time_millis_testing 11130 usercpu_time_millis_testing 11280 usercpu_time_millis_testing 10870 usercpu_time_millis_testing 10860 usercpu_time_millis_testing 11030 usercpu_time_millis_testing 10850 usercpu_time_millis_testing 11080 usercpu_time_millis_testing 11050 usercpu_time_millis_testing 11250 usercpu_time_millis_testing 11110 usercpu_time_millis_testing 11350 usercpu_time_millis_testing 10840 usercpu_time_millis_testing 10850 usercpu_time_millis_testing 11080 usercpu_time_millis_testing 10980 usercpu_time_millis_testing 10880 usercpu_time_millis_testing 11340 usercpu_time_millis_testing 11170 usercpu_time_millis_testing 10990 usercpu_time_millis_testing 11360 usercpu_time_millis_testing 10860 usercpu_time_millis_testing 10880 usercpu_time_millis_testing 10990 usercpu_time_millis_testing 10900 usercpu_time_millis_testing 10940 usercpu_time_millis_testing 11160 usercpu_time_millis_testing 10980 usercpu_time_millis_testing 11120 usercpu_time_millis_testing 11030 usercpu_time_millis_testing 10850 usercpu_time_millis_testing 10870 usercpu_time_millis_testing 11110 usercpu_time_millis_testing 10940 usercpu_time_millis_testing 10860 usercpu_time_millis_testing 11350 usercpu_time_millis_testing 11040 usercpu_time_millis_testing 11020 usercpu_time_millis_testing 11020 usercpu_time_millis_testing 11150 usercpu_time_millis_testing 10880 usercpu_time_millis_testing 11110 usercpu_time_millis_testing 10910 usercpu_time_millis_testing 10950 usercpu_time_millis_testing 11200 usercpu_time_millis_testing 11000 usercpu_time_millis_testing 11020 usercpu_time_millis_testing 11220 usercpu_time_millis_testing 11190 usercpu_time_millis_testing 10980 usercpu_time_millis_testing 11100 usercpu_time_millis_testing 10880 usercpu_time_millis_testing 10890 usercpu_time_millis_testing 11030 usercpu_time_millis_testing 11050 usercpu_time_millis_testing 11000 usercpu_time_millis_testing 11390 usercpu_time_millis_testing 11100 usercpu_time_millis_testing 11160 usercpu_time_millis_testing 11070 usercpu_time_millis_testing 10940 usercpu_time_millis_testing 10900 usercpu_time_millis_testing 11170 usercpu_time_millis_testing 11320 usercpu_time_millis_testing 11100 usercpu_time_millis_testing 11210 usercpu_time_millis_testing 11090 usercpu_time_millis_testing 11040 usercpu_time_millis_testing 11100 usercpu_time_millis_testing 11070 usercpu_time_millis_testing 10890 usercpu_time_millis_testing 11200 usercpu_time_millis_testing 11030 usercpu_time_millis_testing 11050 usercpu_time_millis_testing 11420 usercpu_time_millis_testing 10840 usercpu_time_millis_testing 11100 usercpu_time_millis_testing 11130 usercpu_time_millis_testing 11190 usercpu_time_millis_testing 10870 usercpu_time_millis_testing 11110 usercpu_time_millis_testing 11010 usercpu_time_millis_testing 11050 usercpu_time_millis_testing 11460 usercpu_time_millis_testing 10860 usercpu_time_millis_testing 10820 usercpu_time_millis_testing 11420 usercpu_time_millis_testing 11070 usercpu_time_millis_testing 11080 usercpu_time_millis_testing 10860 usercpu_time_millis_testing 11070 usercpu_time_millis_testing 11040 usercpu_time_millis_testing 11410 usercpu_time_millis_testing 10890 usercpu_time_millis_testing 10900 usercpu_time_millis_testing 11020 usercpu_time_millis_testing 11050 usercpu_time_millis_testing 11100 usercpu_time_millis_testing 11030 usercpu_time_millis_testing 11070 usercpu_time_millis_training 5950 usercpu_time_millis_training 6050 usercpu_time_millis_training 5750 usercpu_time_millis_training 5800 usercpu_time_millis_training 5620 usercpu_time_millis_training 5560 usercpu_time_millis_training 5590 usercpu_time_millis_training 5910 usercpu_time_millis_training 5840 usercpu_time_millis_training 5960 usercpu_time_millis_training 5900 usercpu_time_millis_training 5780 usercpu_time_millis_training 5780 usercpu_time_millis_training 5780 usercpu_time_millis_training 5570 usercpu_time_millis_training 5680 usercpu_time_millis_training 5620 usercpu_time_millis_training 5990 usercpu_time_millis_training 5890 usercpu_time_millis_training 6090 usercpu_time_millis_training 5940 usercpu_time_millis_training 5790 usercpu_time_millis_training 5650 usercpu_time_millis_training 6030 usercpu_time_millis_training 5790 usercpu_time_millis_training 5820 usercpu_time_millis_training 5610 usercpu_time_millis_training 6150 usercpu_time_millis_training 5860 usercpu_time_millis_training 6010 usercpu_time_millis_training 5720 usercpu_time_millis_training 5730 usercpu_time_millis_training 5710 usercpu_time_millis_training 5790 usercpu_time_millis_training 5900 usercpu_time_millis_training 5600 usercpu_time_millis_training 5980 usercpu_time_millis_training 5900 usercpu_time_millis_training 5730 usercpu_time_millis_training 5800 usercpu_time_millis_training 5720 usercpu_time_millis_training 5650 usercpu_time_millis_training 5780 usercpu_time_millis_training 5840 usercpu_time_millis_training 5900 usercpu_time_millis_training 5980 usercpu_time_millis_training 5980 usercpu_time_millis_training 5840 usercpu_time_millis_training 6760 usercpu_time_millis_training 5740 usercpu_time_millis_training 5660 usercpu_time_millis_training 5860 usercpu_time_millis_training 5600 usercpu_time_millis_training 6780 usercpu_time_millis_training 6200 usercpu_time_millis_training 5860 usercpu_time_millis_training 5950 usercpu_time_millis_training 6060 usercpu_time_millis_training 5930 usercpu_time_millis_training 5890 usercpu_time_millis_training 5700 usercpu_time_millis_training 5830 usercpu_time_millis_training 5640 usercpu_time_millis_training 5860 usercpu_time_millis_training 6050 usercpu_time_millis_training 5570 usercpu_time_millis_training 6350 usercpu_time_millis_training 5880 usercpu_time_millis_training 6110 usercpu_time_millis_training 5740 usercpu_time_millis_training 5820 usercpu_time_millis_training 5680 usercpu_time_millis_training 5990 usercpu_time_millis_training 6070 usercpu_time_millis_training 5900 usercpu_time_millis_training 5890 usercpu_time_millis_training 5930 usercpu_time_millis_training 5940 usercpu_time_millis_training 6260 usercpu_time_millis_training 5790 usercpu_time_millis_training 5700 usercpu_time_millis_training 6200 usercpu_time_millis_training 6050 usercpu_time_millis_training 5910 usercpu_time_millis_training 5810 usercpu_time_millis_training 5590 usercpu_time_millis_training 5960 usercpu_time_millis_training 6150 usercpu_time_millis_training 5890 usercpu_time_millis_training 5680 usercpu_time_millis_training 6140 usercpu_time_millis_training 5950 usercpu_time_millis_training 5880 usercpu_time_millis_training 5730 usercpu_time_millis_training 5720 usercpu_time_millis_training 5510 usercpu_time_millis_training 6060 usercpu_time_millis_training 5990 usercpu_time_millis_training 6090 usercpu_time_millis_training 5580