359483 2 Joaquin Vanschoren 1901 Supervised Classification predictive_accuracy 1168 weka.BayesNet_K2(6) 1921 weka.classifiers.bayes.BayesNet -- -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.SimpleEstimator -- -A 0.5 D true 1168 Q weka.classifiers.bayes.net.search.local.K2 1168 P 1 1169 S BAYES 1169 weka weka_3.7.12 21 car https://www.openml.org/data/download/21/dataset_21_car.arff -1 1242425 description https://api.openml.org/data/download/1242425/weka_generated_run7545978742418688712.xml -1 1242428 model_readable https://api.openml.org/data/download/1242428/WekaModel_weka.classifiers.bayes.BayesNet8220573810227775950.model -1 1242427 model_serialized https://api.openml.org/data/download/1242427/WekaSerialized_weka.classifiers.bayes.BayesNet8297655219197315315.model -1 1242426 predictions https://api.openml.org/data/download/1242426/weka_generated_predictions1923953529690407505.arff area_under_roc_curve 0.97456 [0.980825,0.949725,0.980864,0.997962] average_cost 0 f_measure 0.850915 [0.939022,0.695784,0.386139,0.620619] kappa 0.675485 kb_relative_information_score 10177.375665 mean_absolute_error 0.11154 mean_prior_absolute_error 0.22898 number_of_instances 17280 [12100,3840,690,650] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-31-generic] precision 0.855126 [0.921071,0.677014,0.609375,0.940625] predictive_accuracy 0.858333 prior_entropy 1.209911 recall 0.858333 [0.957686,0.715625,0.282609,0.463077] relative_absolute_error 0.487115 root_mean_prior_squared_error 0.338114 root_mean_squared_error 0.225742 root_relative_squared_error 0.667649 scimark_benchmark 1324.644187 [804.9102886377058, 957.7311908374301, 526.3440412149175, 1075.6833063112542, 3258.552110048288] total_cost 0 usercpu_time_millis 10 usercpu_time_millis_testing 10 usercpu_time_millis_training 0 area_under_roc_curve 0.967968 [0.976478,0.934749,0.978485,1] area_under_roc_curve 0.98197 [0.988557,0.960773,0.972461,0.998004] area_under_roc_curve 0.982171 [0.990464,0.957137,0.966437,0.996008] area_under_roc_curve 0.978973 [0.987603,0.951206,0.97074,0.99501] area_under_roc_curve 0.97268 [0.981564,0.94049,0.975043,1] area_under_roc_curve 0.969523 [0.977273,0.940107,0.973322,1] area_under_roc_curve 0.983124 [0.984743,0.973402,0.995697,0.999002] area_under_roc_curve 0.977911 [0.982041,0.959434,0.990534,1] area_under_roc_curve 0.97035 [0.975048,0.949292,0.981067,1] area_under_roc_curve 0.982956 [0.989034,0.960582,0.987952,1] area_under_roc_curve 0.98576 [0.990146,0.970341,0.983649,1] area_under_roc_curve 0.979534 [0.988239,0.949101,0.982788,0.998004] area_under_roc_curve 0.98482 [0.990305,0.965365,0.987091,0.998004] area_under_roc_curve 0.968444 [0.976478,0.936089,0.982788,1] area_under_roc_curve 0.971308 [0.98061,0.93628,0.981928,0.999002] area_under_roc_curve 0.986705 [0.993166,0.966705,0.977625,0.997006] area_under_roc_curve 0.97291 [0.97616,0.955033,0.993115,1] area_under_roc_curve 0.971386 [0.979975,0.940299,0.973322,0.998004] area_under_roc_curve 0.978019 [0.983471,0.957329,0.981928,0.998004] area_under_roc_curve 0.977379 [0.981882,0.956946,0.995697,0.998004] area_under_roc_curve 0.972965 [0.975842,0.955798,0.995697,1] area_under_roc_curve 0.969823 [0.97918,0.934749,0.977625,1] area_under_roc_curve 0.965869 [0.974253,0.931879,0.981067,1] area_under_roc_curve 0.984115 [0.986968,0.973211,0.983649,0.998004] area_under_roc_curve 0.964621 [0.967578,0.949675,0.969019,0.997006] area_under_roc_curve 0.97876 [0.986173,0.95331,0.980207,0.993014] area_under_roc_curve 0.96452 [0.972823,0.932644,0.973322,0.994012] area_under_roc_curve 0.97292 [0.976955,0.953693,0.987091,1] area_under_roc_curve 0.989514 [0.994278,0.974168,0.986231,0.997006] area_under_roc_curve 0.96055 [0.96869,0.928626,0.97074,0.992016] area_under_roc_curve 0.98179 [0.987127,0.963643,0.975043,1] area_under_roc_curve 0.968995 [0.970121,0.958094,0.990534,0.992016] area_under_roc_curve 0.966752 [0.974412,0.935132,0.982036,0.997418] area_under_roc_curve 0.968093 [0.984584,0.913509,0.953094,1] area_under_roc_curve 0.982486 [0.986809,0.966322,0.98537,0.997006] area_under_roc_curve 0.964852 [0.969485,0.940299,0.99002,1] area_under_roc_curve 0.983778 [0.989193,0.963261,0.989022,1] area_under_roc_curve 0.979128 [0.984901,0.95575,0.986231,0.999139] area_under_roc_curve 0.979631 [0.982676,0.966322,0.992016,0.990534] area_under_roc_curve 0.978009 [0.982676,0.956659,0.997006,1] area_under_roc_curve 0.979866 [0.981882,0.969201,0.987952,0.994836] area_under_roc_curve 0.962333 [0.971074,0.925536,0.976764,0.996558] area_under_roc_curve 0.972918 [0.979975,0.94269,0.988812,0.999139] area_under_roc_curve 0.975606 [0.984901,0.940351,0.984509,0.997418] area_under_roc_curve 0.98226 [0.985219,0.967251,0.994836,1] area_under_roc_curve 0.966786 [0.969803,0.947953,0.98537,0.998279] area_under_roc_curve 0.957352 [0.964558,0.924561,0.968158,1] area_under_roc_curve 0.973078 [0.977273,0.953606,0.980207,0.999139] area_under_roc_curve 0.984818 [0.990623,0.965497,0.975904,0.998279] area_under_roc_curve 0.980758 [0.985855,0.961404,0.978485,1] area_under_roc_curve 0.976692 [0.98363,0.950292,0.980207,0.996558] area_under_roc_curve 0.971407 [0.976001,0.948148,0.990534,0.999139] area_under_roc_curve 0.977086 [0.982517,0.955945,0.976764,0.998279] area_under_roc_curve 0.956902 [0.960585,0.935478,0.972461,0.993976] area_under_roc_curve 0.96704 [0.967737,0.954581,0.990534,0.999139] area_under_roc_curve 0.975152 [0.979975,0.953021,0.991394,0.995697] area_under_roc_curve 0.982708 [0.98951,0.95848,0.981928,0.997418] area_under_roc_curve 0.983125 [0.987444,0.965692,0.986231,1] area_under_roc_curve 0.971052 [0.973935,0.952632,0.997418,0.994836] area_under_roc_curve 0.973668 [0.982517,0.940546,0.980207,0.993976] area_under_roc_curve 0.971688 [0.980769,0.938207,0.972461,0.995697] area_under_roc_curve 0.985564 [0.98808,0.975244,0.984509,0.999139] area_under_roc_curve 0.98658 [0.990146,0.973294,0.993115,0.990534] area_under_roc_curve 0.984304 [0.985537,0.976023,0.993115,0.999139] area_under_roc_curve 0.978951 [0.988398,0.946979,0.96988,0.998279] area_under_roc_curve 0.972438 [0.980134,0.940156,0.987091,1] area_under_roc_curve 0.969313 [0.975524,0.941715,0.981928,0.999139] area_under_roc_curve 0.978337 [0.984425,0.954776,0.981067,0.998279] area_under_roc_curve 0.971329 [0.979816,0.939766,0.967298,1] area_under_roc_curve 0.977902 [0.986173,0.950877,0.965577,0.993976] area_under_roc_curve 0.977335 [0.982517,0.954386,0.990534,0.999139] area_under_roc_curve 0.977535 [0.9822,0.957895,0.987091,0.993976] area_under_roc_curve 0.962909 [0.97171,0.925341,0.977625,1] area_under_roc_curve 0.979818 [0.98363,0.964522,0.976764,1] area_under_roc_curve 0.957312 [0.967737,0.912671,0.981928,0.994836] area_under_roc_curve 0.971576 [0.979816,0.936452,0.992255,0.999139] area_under_roc_curve 0.977862 [0.986332,0.947173,0.975904,1] area_under_roc_curve 0.973894 [0.983153,0.938596,0.981928,0.997418] area_under_roc_curve 0.971831 [0.98506,0.924561,0.972461,0.999139] area_under_roc_curve 0.978192 [0.984425,0.956335,0.96988,0.997418] area_under_roc_curve 0.958407 [0.968076,0.918303,0.968876,1] area_under_roc_curve 0.966241 [0.979582,0.917125,0.968876,1] area_under_roc_curve 0.975237 [0.97861,0.962883,0.964502,0.997992] area_under_roc_curve 0.982062 [0.985902,0.965927,0.990476,0.996988] area_under_roc_curve 0.984121 [0.990439,0.961901,0.980924,0.998268] area_under_roc_curve 0.978651 [0.982985,0.96249,0.974026,0.998996] area_under_roc_curve 0.986313 [0.994328,0.959937,0.979221,1] area_under_roc_curve 0.976586 [0.980878,0.957777,0.986147,0.997992] area_under_roc_curve 0.961703 [0.970993,0.923802,0.974026,1] area_under_roc_curve 0.975345 [0.982013,0.9511,0.970563,1] area_under_roc_curve 0.971303 [0.979258,0.940299,0.979221,0.997992] area_under_roc_curve 0.978875 [0.981689,0.96524,0.986147,1] area_under_roc_curve 0.972797 [0.976179,0.954635,0.98961,1] area_under_roc_curve 0.968996 [0.977151,0.936567,0.977489,1] area_under_roc_curve 0.9795 [0.987522,0.951885,0.974026,0.998996] area_under_roc_curve 0.974916 [0.981851,0.947761,0.980952,1] area_under_roc_curve 0.980589 [0.98655,0.958955,0.979221,0.998996] area_under_roc_curve 0.975671 [0.985254,0.943705,0.967871,0.997992] area_under_roc_curve 0.969709 [0.976989,0.939513,0.981818,1] area_under_roc_curve 0.962735 [0.969535,0.930086,0.990476,1] 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 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f_measure 0.831071 [0.936508,0.657895,0,0.8] f_measure 0.831208 [0.943548,0.691358,0,0.444444] f_measure 0.870017 [0.95082,0.734177,0.461538,0.6] f_measure 0.859994 [0.935484,0.693333,0.363636,1] f_measure 0.846332 [0.939271,0.692308,0.2,0.727273] f_measure 0.860902 [0.944882,0.702703,0.6,0.5] f_measure 0.878831 [0.947791,0.736842,0.545455,0.8] f_measure 0.836057 [0.924303,0.648649,0.5,0.666667] f_measure 0.853095 [0.951613,0.716049,0.4,0.285714] f_measure 0.878831 [0.947791,0.736842,0.545455,0.8] f_measure 0.854006 [0.94902,0.676056,0.363636,0.666667] f_measure 0.84121 [0.937008,0.675676,0.4,0.5] f_measure 0.844152 [0.930612,0.682927,0.4,0.666667] f_measure 0.855788 [0.931727,0.684932,0.714286,0.6] f_measure 0.909403 [0.96748,0.810127,0.666667,0.666667] f_measure 0.847578 [0.92126,0.647887,0.727273,0.8] f_measure 0.822744 [0.939271,0.658537,0,0.5] f_measure 0.830687 [0.928,0.658228,0.25,0.666667] f_measure 0.838103 [0.92549,0.638889,0.727273,0.5] f_measure 0.847383 [0.931727,0.683544,0.6,0.5] f_measure 0.860324 [0.92623,0.692308,0.615385,0.909091] f_measure 0.846905 [0.930041,0.682927,0.363636,0.8] f_measure 0.870992 [0.947368,0.75,0.4,0.666667] f_measure 0.827941 [0.923695,0.666667,0.4,0.444444] f_measure 0.825974 [0.937008,0.64,0.222222,0.5] f_measure 0.84613 [0.930041,0.7,0.363636,0.666667] f_measure 0.844841 [0.947368,0.716049,0,0.6] f_measure 0.845599 [0.948207,0.692308,0.222222,0.5] f_measure 0.821245 [0.926829,0.650602,0.222222,0.5] f_measure 0.885202 [0.951613,0.753247,0.545455,0.8] f_measure 0.839697 [0.921811,0.690476,0.4,0.666667] f_measure 0.833744 [0.930041,0.682353,0,0.727273] f_measure 0.843233 [0.934959,0.675,0.222222,0.727273] f_measure 0.842733 [0.939271,0.707317,0.222222,0.5] f_measure 0.834521 [0.931174,0.666667,0.25,0.6] f_measure 0.875362 [0.943089,0.734177,0.6,0.727273] f_measure 0.871526 [0.95122,0.734177,0.666667,0.444444] f_measure 0.897867 [0.955102,0.8,0.727273,0.6] f_measure 0.855873 [0.940711,0.693333,0.5,0.6] f_measure 0.848128 [0.955102,0.738095,0,0.444444] f_measure 0.832923 [0.922449,0.658228,0.4,0.666667] f_measure 0.836503 [0.940711,0.638889,0.5,0.444444] f_measure 0.809393 [0.933852,0.591549,0.4,0.25] f_measure 0.902024 [0.946058,0.790123,0.727273,0.923077] f_measure 0.838148 [0.930612,0.675,0.363636,0.6] f_measure 0.804821 [0.910569,0.597403,0.307692,0.6] f_measure 0.847358 [0.930612,0.7,0.222222,0.833333] f_measure 0.876294 [0.958678,0.761905,0.222222,0.727273] f_measure 0.879452 [0.954733,0.756098,0.4,0.727273] f_measure 0.822986 [0.931174,0.641026,0.363636,0.4] f_measure 0.834535 [0.934959,0.666667,0.4,0.444444] f_measure 0.868851 [0.946502,0.740741,0.363636,0.727273] f_measure 0.806296 [0.904564,0.634146,0.181818,0.666667] f_measure 0.836973 [0.926829,0.675,0.4,0.6] f_measure 0.823332 [0.942623,0.705882,0.222222,0] f_measure 0.853273 [0.955466,0.731707,0,0.6] f_measure 0.867266 [0.943548,0.72,0.615385,0.6] f_measure 0.846689 [0.92887,0.704545,0.444444,0.6] f_measure 0.821019 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[0.936508,0.630137,0.363636,0.6] f_measure 0.862504 [0.955466,0.74359,0.363636,0.4] f_measure 0.831162 [0.935484,0.649351,0,0.727273] f_measure 0.803045 [0.91498,0.6,0.25,0.444444] f_measure 0.864151 [0.947368,0.72973,0.181818,0.833333] f_measure 0.860391 [0.946058,0.738095,0.4,0.444444] f_measure 0.842785 [0.955102,0.716049,0.363636,0] f_measure 0.884176 [0.95122,0.769231,0.25,1] f_measure 0.870236 [0.97561,0.765432,0.363636,0] f_measure 0.856136 [0.938776,0.725,0.25,0.727273] f_measure 0.802691 [0.921811,0.619048,0,0.5] f_measure 0.881012 [0.946939,0.736842,0.5,0.909091] f_measure 0.878892 [0.936709,0.758621,0.6,0.8] f_measure 0.886412 [0.959677,0.769231,0.444444,0.666667] f_measure 0.855041 [0.927419,0.701299,0.6,0.666667] f_measure 0.829973 [0.931174,0.666667,0.25,0.5] f_measure 0.861646 [0.95122,0.725,0.222222,0.666667] f_measure 0.873691 [0.946502,0.740741,0.4,0.8] f_measure 0.86587 [0.946939,0.725,0.4,0.666667] f_measure 0.808533 [0.92549,0.583333,0.222222,0.5] f_measure 0.826704 [0.936508,0.64,0.222222,0.5] f_measure 0.821003 [0.91498,0.605263,0.5,0.666667] kappa 0.570253 kappa 0.643129 kappa 0.651291 kappa 0.716393 kappa 0.69612 kappa 0.670124 kappa 0.694002 kappa 0.732736 kappa 0.634536 kappa 0.691479 kappa 0.732736 kappa 0.679655 kappa 0.652275 kappa 0.659475 kappa 0.681644 kappa 0.803275 kappa 0.654994 kappa 0.62681 kappa 0.633216 kappa 0.636907 kappa 0.663372 kappa 0.69137 kappa 0.665278 kappa 0.721502 kappa 0.623942 kappa 0.623489 kappa 0.666914 kappa 0.680959 kappa 0.671831 kappa 0.615909 kappa 0.747697 kappa 0.650714 kappa 0.649824 kappa 0.658181 kappa 0.666795 kappa 0.641024 kappa 0.724606 kappa 0.72471 kappa 0.778456 kappa 0.682188 kappa 0.697552 kappa 0.63609 kappa 0.643469 kappa 0.588467 kappa 0.785407 kappa 0.648268 kappa 0.569425 kappa 0.674322 kappa 0.743666 kappa 0.742674 kappa 0.617432 kappa 0.644385 kappa 0.717593 kappa 0.582492 kappa 0.645223 kappa 0.647179 kappa 0.707005 kappa 0.70931 kappa 0.672062 kappa 0.631803 kappa 0.61312 kappa 0.774151 kappa 0.691718 kappa 0.738434 kappa 0.659706 kappa 0.715843 kappa 0.699675 kappa 0.662869 kappa 0.644656 kappa 0.747353 kappa 0.720753 kappa 0.684642 kappa 0.706108 kappa 0.679085 kappa 0.559025 kappa 0.632176 kappa 0.683392 kappa 0.692171 kappa 0.632176 kappa 0.709776 kappa 0.634187 kappa 0.567159 kappa 0.706803 kappa 0.702041 kappa 0.680396 kappa 0.759926 kappa 0.744628 kappa 0.694447 kappa 0.578173 kappa 0.736822 kappa 0.73521 kappa 0.755547 kappa 0.674858 kappa 0.633898 kappa 0.705089 kappa 0.725177 kappa 0.707686 kappa 0.571891 kappa 0.62247 kappa 0.598162 kb_relative_information_score 103.181129 kb_relative_information_score 104.503984 kb_relative_information_score 102.8575 kb_relative_information_score 104.904115 kb_relative_information_score 99.52079 kb_relative_information_score 98.733443 kb_relative_information_score 105.748427 kb_relative_information_score 105.782243 kb_relative_information_score 103.002692 kb_relative_information_score 105.661934 kb_relative_information_score 107.993748 kb_relative_information_score 106.146808 kb_relative_information_score 107.186179 kb_relative_information_score 94.827694 kb_relative_information_score 101.140189 kb_relative_information_score 106.798664 kb_relative_information_score 102.558753 kb_relative_information_score 95.360162 kb_relative_information_score 104.599257 kb_relative_information_score 105.870141 kb_relative_information_score 101.57361 kb_relative_information_score 102.031885 kb_relative_information_score 97.222341 kb_relative_information_score 106.608812 kb_relative_information_score 102.352249 kb_relative_information_score 102.722262 kb_relative_information_score 94.936194 kb_relative_information_score 99.513444 kb_relative_information_score 104.668841 kb_relative_information_score 92.486303 kb_relative_information_score 103.195043 kb_relative_information_score 98.818104 kb_relative_information_score 98.817763 kb_relative_information_score 97.067171 kb_relative_information_score 105.670283 kb_relative_information_score 98.341485 kb_relative_information_score 109.395922 kb_relative_information_score 108.549477 kb_relative_information_score 103.471288 kb_relative_information_score 107.417091 kb_relative_information_score 100.320828 kb_relative_information_score 93.760196 kb_relative_information_score 102.066928 kb_relative_information_score 103.32466 kb_relative_information_score 104.859874 kb_relative_information_score 93.535997 kb_relative_information_score 97.389582 kb_relative_information_score 104.763414 kb_relative_information_score 106.689785 kb_relative_information_score 100.657483 kb_relative_information_score 102.327509 kb_relative_information_score 103.959163 kb_relative_information_score 99.531071 kb_relative_information_score 96.181734 kb_relative_information_score 99.924277 kb_relative_information_score 104.273187 kb_relative_information_score 106.081291 kb_relative_information_score 107.9107 kb_relative_information_score 98.031439 kb_relative_information_score 100.364028 kb_relative_information_score 103.886558 kb_relative_information_score 103.594669 kb_relative_information_score 106.45349 kb_relative_information_score 107.550695 kb_relative_information_score 104.698456 kb_relative_information_score 99.823139 kb_relative_information_score 103.785642 kb_relative_information_score 103.85334 kb_relative_information_score 100.057713 kb_relative_information_score 98.508091 kb_relative_information_score 108.085353 kb_relative_information_score 103.983436 kb_relative_information_score 96.214492 kb_relative_information_score 101.406978 kb_relative_information_score 95.650941 kb_relative_information_score 103.841742 kb_relative_information_score 101.629776 kb_relative_information_score 97.993206 kb_relative_information_score 101.056478 kb_relative_information_score 105.329859 kb_relative_information_score 91.489437 kb_relative_information_score 96.539031 kb_relative_information_score 103.031124 kb_relative_information_score 101.667803 kb_relative_information_score 100.913424 kb_relative_information_score 106.665429 kb_relative_information_score 95.774631 kb_relative_information_score 98.412084 kb_relative_information_score 97.29398 kb_relative_information_score 105.194622 kb_relative_information_score 94.92724 kb_relative_information_score 102.375274 kb_relative_information_score 105.136785 kb_relative_information_score 101.75151 kb_relative_information_score 101.930018 kb_relative_information_score 102.452982 kb_relative_information_score 105.037879 kb_relative_information_score 98.929656 kb_relative_information_score 97.723821 kb_relative_information_score 95.534312 mean_absolute_error 0.108319 mean_absolute_error 0.104516 mean_absolute_error 0.108993 mean_absolute_error 0.105618 mean_absolute_error 0.112796 mean_absolute_error 0.115773 mean_absolute_error 0.107674 mean_absolute_error 0.105774 mean_absolute_error 0.109767 mean_absolute_error 0.105942 mean_absolute_error 0.102476 mean_absolute_error 0.103287 mean_absolute_error 0.103674 mean_absolute_error 0.121699 mean_absolute_error 0.113275 mean_absolute_error 0.103593 mean_absolute_error 0.111382 mean_absolute_error 0.119359 mean_absolute_error 0.106452 mean_absolute_error 0.106614 mean_absolute_error 0.112384 mean_absolute_error 0.111407 mean_absolute_error 0.118469 mean_absolute_error 0.104801 mean_absolute_error 0.10935 mean_absolute_error 0.108113 mean_absolute_error 0.119396 mean_absolute_error 0.112977 mean_absolute_error 0.106868 mean_absolute_error 0.120733 mean_absolute_error 0.109562 mean_absolute_error 0.114817 mean_absolute_error 0.114833 mean_absolute_error 0.11722 mean_absolute_error 0.10421 mean_absolute_error 0.115572 mean_absolute_error 0.100394 mean_absolute_error 0.105444 mean_absolute_error 0.109679 mean_absolute_error 0.103349 mean_absolute_error 0.114844 mean_absolute_error 0.124764 mean_absolute_error 0.113154 mean_absolute_error 0.109843 mean_absolute_error 0.110956 mean_absolute_error 0.125144 mean_absolute_error 0.119211 mean_absolute_error 0.108992 mean_absolute_error 0.106392 mean_absolute_error 0.116518 mean_absolute_error 0.112282 mean_absolute_error 0.110027 mean_absolute_error 0.117511 mean_absolute_error 0.120703 mean_absolute_error 0.117958 mean_absolute_error 0.110216 mean_absolute_error 0.105623 mean_absolute_error 0.106002 mean_absolute_error 0.119866 mean_absolute_error 0.113386 mean_absolute_error 0.108515 mean_absolute_error 0.113478 mean_absolute_error 0.106781 mean_absolute_error 0.10688 mean_absolute_error 0.108221 mean_absolute_error 0.116189 mean_absolute_error 0.110965 mean_absolute_error 0.111957 mean_absolute_error 0.115952 mean_absolute_error 0.118822 mean_absolute_error 0.105847 mean_absolute_error 0.110584 mean_absolute_error 0.121912 mean_absolute_error 0.113202 mean_absolute_error 0.121077 mean_absolute_error 0.111846 mean_absolute_error 0.114829 mean_absolute_error 0.117646 mean_absolute_error 0.114722 mean_absolute_error 0.108243 mean_absolute_error 0.122395 mean_absolute_error 0.116485 mean_absolute_error 0.105409 mean_absolute_error 0.109665 mean_absolute_error 0.110496 mean_absolute_error 0.101144 mean_absolute_error 0.117266 mean_absolute_error 0.114835 mean_absolute_error 0.112723 mean_absolute_error 0.103487 mean_absolute_error 0.119979 mean_absolute_error 0.108164 mean_absolute_error 0.103988 mean_absolute_error 0.106905 mean_absolute_error 0.108525 mean_absolute_error 0.108607 mean_absolute_error 0.104634 mean_absolute_error 0.10919 mean_absolute_error 0.113917 mean_absolute_error 0.118437 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228958 mean_prior_absolute_error 0.228958 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228958 mean_prior_absolute_error 0.228958 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.228958 mean_prior_absolute_error 0.228958 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.228028 mean_prior_absolute_error 0.228028 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.228028 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.227493 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.228021 number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,6,7] number_of_instances 173 [121,39,6,7] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,6,7] number_of_instances 173 [121,39,6,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,39,6,7] number_of_instances 173 [121,39,6,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 172 [121,38,6,7] number_of_instances 172 [121,38,6,7] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,38,6,7] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,39,6,6] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,38,7,6] precision 0.80532 [0.882812,0.589744,0.5,1] precision 0.817016 [0.900763,0.675676,0,1] precision 0.81776 [0.92126,0.666667,0,0.666667] precision 0.8693 [0.943089,0.725,0.5,0.75] precision 0.856569 [0.913386,0.722222,0.5,1] precision 0.841215 [0.920635,0.692308,0.333333,0.8] precision 0.873667 [0.902256,0.742857,1,1] precision 0.880407 [0.921875,0.756757,0.75,1] precision 0.837642 [0.892308,0.685714,0.6,1] precision 0.86717 [0.929134,0.690476,0.666667,1] precision 0.880407 [0.921875,0.756757,0.75,1] precision 0.855556 [0.902985,0.75,0.5,1] precision 0.84848 [0.894737,0.714286,0.666667,1] precision 0.851468 [0.919355,0.651163,0.666667,1] precision 0.854524 [0.90625,0.735294,0.714286,0.75] precision 0.913249 [0.952,0.8,0.8,1] precision 0.852456 [0.879699,0.71875,1,1] precision 0.820146 [0.920635,0.627907,0,1] precision 0.850614 [0.899225,0.65,1,1] precision 0.848174 [0.880597,0.69697,1,1] precision 0.861163 [0.90625,0.675,1,1] precision 0.860285 [0.918699,0.692308,0.666667,1] precision 0.849532 [0.92623,0.651163,0.5,1] precision 0.876072 [0.928571,0.731707,0.666667,1] precision 0.828772 [0.898438,0.666667,0.666667,0.666667] precision 0.831001 [0.894737,0.666667,0.5,1] precision 0.845132 [0.92623,0.682927,0.5,0.666667] precision 0.831131 [0.928571,0.690476,0,0.75] precision 0.851223 [0.915385,0.692308,0.5,1] precision 0.83112 [0.912,0.613636,0.5,1] precision 0.886927 [0.929134,0.763158,0.75,1] precision 0.849029 [0.918033,0.644444,0.666667,1] precision 0.830409 [0.92623,0.630435,0,1] precision 0.843948 [0.92,0.658537,0.333333,1] precision 0.850862 [0.920635,0.674419,0.5,1] precision 0.841086 [0.912698,0.642857,0.5,1] precision 0.878977 [0.928,0.725,0.75,1] precision 0.882856 [0.936,0.707317,0.8,1] precision 0.904095 [0.943548,0.780488,0.8,1] precision 0.868497 [0.901515,0.722222,1,1] precision 0.848428 [0.943548,0.673913,0,1] precision 0.836014 [0.91129,0.634146,0.666667,0.8] precision 0.843868 [0.901515,0.676471,0.6,1] precision 0.824354 [0.882353,0.636364,0.666667,1] precision 0.908839 [0.95,0.744186,1,1] precision 0.844916 [0.919355,0.642857,0.5,1] precision 0.810171 [0.896,0.589744,0.333333,1] precision 0.850146 [0.919355,0.666667,0.5,1] precision 0.884016 [0.958678,0.695652,0.5,1] precision 0.887217 [0.95082,0.704545,0.666667,1] precision 0.822851 [0.912698,0.625,0.5,0.666667] precision 0.848827 [0.92,0.627907,0.666667,1] precision 0.873231 [0.942623,0.697674,0.5,1] precision 0.807589 [0.908333,0.590909,0.25,0.8] precision 0.846516 [0.912,0.642857,0.666667,1] precision 0.814366 [0.934959,0.638298,0.5,0] precision 0.84524 [0.936508,0.681818,0,1] precision 0.872074 [0.92126,0.72973,0.666667,1] precision 0.875041 [0.940678,0.62,1,1] precision 0.822822 [0.927419,0.608696,0,1] precision 0.830195 [0.92623,0.6,0.25,1] precision 0.897299 [0.966387,0.75,0.6,0.8] precision 0.838457 [0.929134,0.674419,1,0] precision 0.88674 [0.936,0.725,0.8,1] precision 0.848027 [0.935484,0.636364,0.333333,1] precision 0.87872 [0.943089,0.690476,0.666667,1] precision 0.877721 [0.927419,0.674419,1,1] precision 0.84413 [0.927419,0.675,0.5,0.666667] precision 0.843905 [0.912698,0.641026,0.6,1] precision 0.89083 [0.966387,0.702128,0.5,1] precision 0.870213 [0.921875,0.75,0.666667,0.833333] precision 0.862936 [0.928,0.666667,0.666667,1] precision 0.868642 [0.92623,0.682927,0.75,1] precision 0.831247 [0.92126,0.666667,0,1] precision 0.803468 [0.878788,0.583333,0.5,1] precision 0.839827 [0.89313,0.657143,0.75,1] precision 0.858423 [0.928571,0.675,0.5,1] precision 0.885954 [0.95,0.64,1,1] precision 0.835051 [0.900763,0.657143,0.5,1] precision 0.861469 [0.936508,0.725,0.5,0.666667] precision 0.824876 [0.913386,0.641026,0,1] precision 0.815292 [0.896825,0.571429,0.5,1] precision 0.858181 [0.928571,0.75,0.25,0.833333] precision 0.867589 [0.95,0.673913,0.666667,0.666667] precision 0.826728 [0.943548,0.674419,0.4,0] precision 0.899744 [0.936,0.75,1,1] precision 0.854973 [0.96,0.72093,0.5,0] precision 0.87358 [0.927419,0.690476,1,0.8] precision 0.805583 [0.918033,0.565217,0,1] precision 0.880195 [0.935484,0.736842,0.6,1] precision 0.897537 [0.956897,0.673469,1,1] precision 0.900453 [0.937008,0.75,1,1] precision 0.86555 [0.905512,0.692308,1,1] precision 0.856378 [0.912698,0.627907,1,1] precision 0.866245 [0.936,0.690476,0.5,1] precision 0.879277 [0.942623,0.697674,0.666667,1] precision 0.872665 [0.935484,0.690476,0.666667,1] precision 0.810293 [0.880597,0.636364,0.333333,1] precision 0.832215 [0.900763,0.648649,0.5,1] precision 0.823929 [0.896825,0.605263,0.6,1] predictive_accuracy 0.815029 predictive_accuracy 0.849711 predictive_accuracy 0.849711 predictive_accuracy 0.872832 predictive_accuracy 0.867052 predictive_accuracy 0.855491 predictive_accuracy 0.872832 predictive_accuracy 0.884393 predictive_accuracy 0.843931 predictive_accuracy 0.867052 predictive_accuracy 0.884393 predictive_accuracy 0.867052 predictive_accuracy 0.855491 predictive_accuracy 0.849711 predictive_accuracy 0.861272 predictive_accuracy 0.913295 predictive_accuracy 0.855491 predictive_accuracy 0.83815 predictive_accuracy 0.843931 predictive_accuracy 0.849711 predictive_accuracy 0.855491 predictive_accuracy 0.861272 predictive_accuracy 0.849711 predictive_accuracy 0.878613 predictive_accuracy 0.83815 predictive_accuracy 0.843931 predictive_accuracy 0.849711 predictive_accuracy 0.861272 predictive_accuracy 0.861272 predictive_accuracy 0.83237 predictive_accuracy 0.890173 predictive_accuracy 0.843931 predictive_accuracy 0.843931 predictive_accuracy 0.849711 predictive_accuracy 0.855491 predictive_accuracy 0.843931 predictive_accuracy 0.878613 predictive_accuracy 0.878613 predictive_accuracy 0.901734 predictive_accuracy 0.867052 predictive_accuracy 0.867052 predictive_accuracy 0.83815 predictive_accuracy 0.849711 predictive_accuracy 0.83237 predictive_accuracy 0.901734 predictive_accuracy 0.843931 predictive_accuracy 0.809249 predictive_accuracy 0.855491 predictive_accuracy 0.884393 predictive_accuracy 0.884393 predictive_accuracy 0.83237 predictive_accuracy 0.843931 predictive_accuracy 0.872832 predictive_accuracy 0.809249 predictive_accuracy 0.843931 predictive_accuracy 0.843931 predictive_accuracy 0.872832 predictive_accuracy 0.872832 predictive_accuracy 0.849711 predictive_accuracy 0.83815 predictive_accuracy 0.82659 predictive_accuracy 0.895954 predictive_accuracy 0.867052 predictive_accuracy 0.884393 predictive_accuracy 0.849711 predictive_accuracy 0.872832 predictive_accuracy 0.867052 predictive_accuracy 0.849711 predictive_accuracy 0.843931 predictive_accuracy 0.884393 predictive_accuracy 0.878613 predictive_accuracy 0.861272 predictive_accuracy 0.867052 predictive_accuracy 0.861272 predictive_accuracy 0.815029 predictive_accuracy 0.843931 predictive_accuracy 0.861272 predictive_accuracy 0.861272 predictive_accuracy 0.843931 predictive_accuracy 0.872832 predictive_accuracy 0.843023 predictive_accuracy 0.813953 predictive_accuracy 0.872093 predictive_accuracy 0.866279 predictive_accuracy 0.860465 predictive_accuracy 0.895349 predictive_accuracy 0.889535 predictive_accuracy 0.866279 predictive_accuracy 0.813953 predictive_accuracy 0.883721 predictive_accuracy 0.877907 predictive_accuracy 0.895349 predictive_accuracy 0.860465 predictive_accuracy 0.843023 predictive_accuracy 0.872093 predictive_accuracy 0.877907 predictive_accuracy 0.872093 predictive_accuracy 0.825581 predictive_accuracy 0.843023 predictive_accuracy 0.825581 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 recall 0.815029 [0.933884,0.589744,0.142857,0.666667] recall 0.849711 [0.975207,0.641026,0,0.666667] recall 0.849711 [0.966942,0.717949,0,0.333333] recall 0.872832 [0.958678,0.74359,0.428571,0.5] recall 0.867052 [0.958678,0.666667,0.285714,1] recall 0.855491 [0.958678,0.692308,0.142857,0.666667] recall 0.872832 [0.991736,0.666667,0.428571,0.333333] recall 0.884393 [0.975207,0.717949,0.428571,0.666667] recall 0.843931 [0.958678,0.615385,0.428571,0.5] recall 0.867052 [0.975207,0.74359,0.285714,0.166667] recall 0.884393 [0.975207,0.717949,0.428571,0.666667] recall 0.867052 [1,0.615385,0.285714,0.5] recall 0.855491 [0.983471,0.641026,0.285714,0.333333] recall 0.849711 [0.942149,0.717949,0.285714,0.5] recall 0.861272 [0.958678,0.641026,0.714286,0.5] recall 0.913295 [0.983471,0.820513,0.571429,0.5] recall 0.855491 [0.966942,0.589744,0.571429,0.666667] recall 0.83815 [0.958678,0.692308,0,0.333333] recall 0.843931 [0.958678,0.666667,0.142857,0.5] recall 0.849711 [0.975207,0.589744,0.571429,0.333333] recall 0.855491 [0.958678,0.692308,0.428571,0.333333] recall 0.861272 [0.933884,0.692308,0.571429,0.833333] recall 0.849711 [0.933884,0.717949,0.285714,0.666667] recall 0.878613 [0.966942,0.769231,0.285714,0.5] recall 0.83815 [0.950413,0.666667,0.285714,0.333333] recall 0.843931 [0.983471,0.615385,0.142857,0.333333] recall 0.849711 [0.933884,0.717949,0.285714,0.666667] recall 0.861272 [0.966942,0.74359,0,0.5] recall 0.861272 [0.983471,0.692308,0.142857,0.333333] recall 0.83237 [0.942149,0.692308,0.142857,0.333333] recall 0.890173 [0.975207,0.74359,0.428571,0.666667] recall 0.843931 [0.92562,0.74359,0.285714,0.5] recall 0.843931 [0.933884,0.74359,0,0.571429] recall 0.849711 [0.950413,0.692308,0.166667,0.571429] recall 0.855491 [0.958678,0.74359,0.142857,0.333333] recall 0.843931 [0.950413,0.692308,0.166667,0.428571] recall 0.878613 [0.958678,0.74359,0.5,0.571429] recall 0.878613 [0.966942,0.763158,0.571429,0.285714] recall 0.901734 [0.966942,0.820513,0.666667,0.428571] recall 0.867052 [0.983471,0.666667,0.333333,0.428571] recall 0.867052 [0.966942,0.815789,0,0.285714] recall 0.83815 [0.933884,0.684211,0.285714,0.571429] recall 0.849711 [0.983471,0.605263,0.428571,0.285714] recall 0.83237 [0.991736,0.552632,0.285714,0.142857] recall 0.901734 [0.942149,0.842105,0.571429,0.857143] recall 0.843931 [0.942149,0.710526,0.285714,0.428571] recall 0.809249 [0.92562,0.605263,0.285714,0.428571] recall 0.855491 [0.942149,0.736842,0.142857,0.714286] recall 0.884393 [0.958678,0.842105,0.142857,0.571429] recall 0.884393 [0.958678,0.815789,0.285714,0.571429] recall 0.83237 [0.950413,0.657895,0.285714,0.285714] recall 0.843931 [0.950413,0.710526,0.285714,0.285714] recall 0.872832 [0.950413,0.789474,0.285714,0.571429] recall 0.809249 [0.900826,0.684211,0.142857,0.571429] recall 0.843931 [0.942149,0.710526,0.285714,0.428571] recall 0.843931 [0.950413,0.789474,0.142857,0] recall 0.872832 [0.975207,0.789474,0,0.428571] recall 0.872832 [0.966942,0.710526,0.571429,0.428571] recall 0.849711 [0.917355,0.815789,0.285714,0.428571] recall 0.83815 [0.950413,0.736842,0,0.285714] recall 0.82659 [0.933884,0.710526,0.142857,0.285714] recall 0.895954 [0.950413,0.868421,0.428571,0.571429] recall 0.867052 [0.975207,0.763158,0.428571,0] recall 0.884393 [0.966942,0.763158,0.571429,0.428571] recall 0.849711 [0.958678,0.736842,0.142857,0.285714] recall 0.872832 [0.958678,0.763158,0.571429,0.285714] recall 0.867052 [0.950413,0.763158,0.285714,0.571429] recall 0.849711 [0.950413,0.710526,0.428571,0.285714] recall 0.843931 [0.950413,0.657895,0.428571,0.428571] recall 0.884393 [0.950413,0.868421,0.285714,0.428571] recall 0.878613 [0.975207,0.710526,0.285714,0.714286] recall 0.861272 [0.958678,0.736842,0.285714,0.428571] recall 0.867052 [0.933884,0.736842,0.428571,0.857143] recall 0.861272 [0.966942,0.736842,0,0.571429] recall 0.815029 [0.958678,0.552632,0.142857,0.428571] recall 0.843931 [0.966942,0.605263,0.428571,0.428571] recall 0.861272 [0.966942,0.710526,0.285714,0.428571] recall 0.861272 [0.942149,0.842105,0.142857,0.285714] recall 0.843931 [0.975207,0.605263,0.285714,0.428571] recall 0.872832 [0.975207,0.763158,0.285714,0.285714] recall 0.843023 [0.958678,0.657895,0,0.571429] recall 0.813953 [0.933884,0.631579,0.166667,0.285714] recall 0.872093 [0.966942,0.710526,0.142857,0.833333] recall 0.866279 [0.942149,0.815789,0.285714,0.333333] recall 0.860465 [0.966942,0.763158,0.333333,0] recall 0.895349 [0.966942,0.789474,0.142857,1] recall 0.889535 [0.991736,0.815789,0.285714,0] recall 0.866279 [0.950413,0.763158,0.142857,0.666667] recall 0.813953 [0.92562,0.684211,0,0.333333] recall 0.883721 [0.958678,0.736842,0.428571,0.833333] recall 0.877907 [0.917355,0.868421,0.428571,0.666667] recall 0.895349 [0.983471,0.789474,0.285714,0.5] recall 0.860465 [0.950413,0.710526,0.428571,0.5] recall 0.843023 [0.950413,0.710526,0.142857,0.333333] recall 0.872093 [0.966942,0.763158,0.142857,0.5] recall 0.877907 [0.950413,0.789474,0.285714,0.666667] recall 0.872093 [0.958678,0.763158,0.285714,0.5] recall 0.825581 [0.975207,0.538462,0.166667,0.333333] recall 0.843023 [0.975207,0.631579,0.142857,0.333333] recall 0.825581 [0.933884,0.605263,0.428571,0.5] relative_absolute_error 0.473111 relative_absolute_error 0.456499 relative_absolute_error 0.476053 relative_absolute_error 0.461313 relative_absolute_error 0.492665 relative_absolute_error 0.505668 relative_absolute_error 0.470293 relative_absolute_error 0.461995 relative_absolute_error 0.479433 relative_absolute_error 0.462727 relative_absolute_error 0.44759 relative_absolute_error 0.45113 relative_absolute_error 0.452821 relative_absolute_error 0.531551 relative_absolute_error 0.494755 relative_absolute_error 0.452469 relative_absolute_error 0.486488 relative_absolute_error 0.521329 relative_absolute_error 0.464953 relative_absolute_error 0.465663 relative_absolute_error 0.490865 relative_absolute_error 0.486596 relative_absolute_error 0.517444 relative_absolute_error 0.457746 relative_absolute_error 0.477614 relative_absolute_error 0.472209 relative_absolute_error 0.521491 relative_absolute_error 0.493455 relative_absolute_error 0.466774 relative_absolute_error 0.527332 relative_absolute_error 0.478538 relative_absolute_error 0.501491 relative_absolute_error 0.501549 relative_absolute_error 0.511973 relative_absolute_error 0.455164 relative_absolute_error 0.504772 relative_absolute_error 0.438483 relative_absolute_error 0.459486 relative_absolute_error 0.479037 relative_absolute_error 0.451389 relative_absolute_error 0.500446 relative_absolute_error 0.543674 relative_absolute_error 0.493081 relative_absolute_error 0.478654 relative_absolute_error 0.483505 relative_absolute_error 0.545328 relative_absolute_error 0.519473 relative_absolute_error 0.474943 relative_absolute_error 0.463616 relative_absolute_error 0.507742 relative_absolute_error 0.489279 relative_absolute_error 0.479456 relative_absolute_error 0.512069 relative_absolute_error 0.525978 relative_absolute_error 0.514017 relative_absolute_error 0.480278 relative_absolute_error 0.460263 relative_absolute_error 0.461916 relative_absolute_error 0.522328 relative_absolute_error 0.494091 relative_absolute_error 0.472866 relative_absolute_error 0.494494 relative_absolute_error 0.465309 relative_absolute_error 0.465742 relative_absolute_error 0.471585 relative_absolute_error 0.506307 relative_absolute_error 0.483542 relative_absolute_error 0.487867 relative_absolute_error 0.505275 relative_absolute_error 0.51778 relative_absolute_error 0.461241 relative_absolute_error 0.481882 relative_absolute_error 0.531246 relative_absolute_error 0.493289 relative_absolute_error 0.527608 relative_absolute_error 0.48738 relative_absolute_error 0.50038 relative_absolute_error 0.512655 relative_absolute_error 0.499916 relative_absolute_error 0.471679 relative_absolute_error 0.536754 relative_absolute_error 0.510837 relative_absolute_error 0.462276 relative_absolute_error 0.480941 relative_absolute_error 0.484573 relative_absolute_error 0.44357 relative_absolute_error 0.514276 relative_absolute_error 0.503613 relative_absolute_error 0.494353 relative_absolute_error 0.453847 relative_absolute_error 0.526175 relative_absolute_error 0.474359 relative_absolute_error 0.456043 relative_absolute_error 0.468836 relative_absolute_error 0.475942 relative_absolute_error 0.4763 relative_absolute_error 0.458876 relative_absolute_error 0.479971 relative_absolute_error 0.499587 relative_absolute_error 0.519413 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338082 root_mean_prior_squared_error 0.338082 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338082 root_mean_prior_squared_error 0.338082 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338082 root_mean_prior_squared_error 0.338082 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 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