368941 2 Joaquin Vanschoren 4333 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_3.7.12 762 fri_c2_100_10 https://www.openml.org/data/download/53296/fri_c2_100_10.arff -1 1279607 description https://api.openml.org/data/download/1279607/weka_generated_run6273732424260463114.xml -1 1279610 model_readable https://api.openml.org/data/download/1279610/WekaModel_weka.classifiers.bayes.BayesNet6844374992204085739.model -1 1279609 model_serialized https://api.openml.org/data/download/1279609/WekaSerialized_weka.classifiers.bayes.BayesNet5594435698325329262.model -1 1279608 predictions https://api.openml.org/data/download/1279608/weka_generated_predictions7487130945611481443.arff area_under_roc_curve 0.801745 [0.801745,0.801745] average_cost 0 f_measure 0.768132 [0.743929,0.787934] kappa 0.531881 kb_relative_information_score 478.005586 mean_absolute_error 0.265284 mean_prior_absolute_error 0.495098 number_of_instances 1000 [450,550] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.768319 [0.739035,0.792279] predictive_accuracy 0.768 prior_entropy 0.993055 recall 0.768 [0.748889,0.783636] relative_absolute_error 0.535822 root_mean_prior_squared_error 0.497495 root_mean_squared_error 0.417046 root_relative_squared_error 0.838293 scimark_benchmark 1286.221091 [806.7718259494214, 832.0185754298774, 527.3781026319954, 1073.0413082631114, 3191.8956416822753] total_cost 0 usercpu_time_millis 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.96 [0.96,0.96] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.86 [0.86,0.86] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.74 [0.74,0.74] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.82 [0.82,0.82] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.770833 [0.770833,0.770833] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.854167 [0.854167,0.854167] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.72 [0.72,0.72] area_under_roc_curve 0.82 [0.82,0.82] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.76 [0.76,0.76] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.88 [0.88,0.88] area_under_roc_curve 0.66 [0.66,0.66] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.44 [0.44,0.44] area_under_roc_curve 0.86 [0.86,0.86] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.74 [0.74,0.74] area_under_roc_curve 0.583333 [0.583333,0.583333] area_under_roc_curve 0.56 [0.56,0.56] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.729167 [0.729167,0.729167] area_under_roc_curve 0.96 [0.96,0.96] area_under_roc_curve 0.68 [0.68,0.68] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.708333 [0.708333,0.708333] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.88 [0.88,0.88] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.916667 [0.916667,0.916667] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.979167 [0.979167,0.979167] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.46 [0.46,0.46] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.74 [0.74,0.74] area_under_roc_curve 0.958333 [0.958333,0.958333] area_under_roc_curve 0.520833 [0.520833,0.520833] area_under_roc_curve 0.8125 [0.8125,0.8125] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.916667 [0.916667,0.916667] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.458333 [0.458333,0.458333] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.92 [0.92,0.92] area_under_roc_curve 0.708333 [0.708333,0.708333] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.895833 [0.895833,0.895833] area_under_roc_curve 0.8125 [0.8125,0.8125] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.895833 [0.895833,0.895833] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.854167 [0.854167,0.854167] area_under_roc_curve 0.770833 [0.770833,0.770833] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.708333 [0.708333,0.708333] area_under_roc_curve 0.68 [0.68,0.68] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.979167 [0.979167,0.979167] area_under_roc_curve 0.9375 [0.9375,0.9375] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.8125 [0.8125,0.8125] area_under_roc_curve 0.854167 [0.854167,0.854167] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.8125 [0.8125,0.8125] area_under_roc_curve 0.875 [0.875,0.875] 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 0.70303 [0.666667,0.727273] f_measure 0.69697 [0.666667,0.727273] f_measure 1 [1,1] f_measure 0.583333 [0.666667,0.5] f_measure 0.90101 [0.888889,0.909091] f_measure 0.89899 [0.888889,0.909091] f_measure 1 [1,1] f_measure 0.8 [0.75,0.833333] f_measure 0.89899 [0.909091,0.888889] f_measure 1 [1,1] f_measure 0.8 [0.8,0.8] f_measure 0.8 [0.8,0.8] f_measure 1 [1,1] f_measure 0.67033 [0.571429,0.769231] f_measure 0.780952 [0.666667,0.857143] f_measure 0.67033 [0.571429,0.769231] f_measure 0.89899 [0.909091,0.888889] f_measure 0.70303 [0.666667,0.727273] f_measure 0.89899 [0.909091,0.888889] f_measure 0.89899 [0.909091,0.888889] f_measure 0.8 [0.75,0.833333] f_measure 0.89899 [0.888889,0.909091] f_measure 0.52381 [0.714286,0.333333] f_measure 0.8 [0.8,0.8] f_measure 0.8 [0.75,0.833333] f_measure 0.8 [0.8,0.8] f_measure 0.583333 [0.5,0.666667] f_measure 0.780952 [0.666667,0.857143] f_measure 0.8 [0.8,0.8] f_measure 0.6 [0.6,0.6] f_measure 0.561905 [0.333333,0.714286] f_measure 0.52381 [0.333333,0.714286] f_measure 0.69697 [0.727273,0.666667] f_measure 0.89899 [0.909091,0.888889] f_measure 0.90101 [0.888889,0.909091] f_measure 0.583333 [0.666667,0.5] f_measure 0.6 [0.6,0.6] f_measure 0.505051 [0.444444,0.545455] f_measure 0.6 [0.6,0.6] f_measure 0.583333 [0.5,0.666667] f_measure 0.70303 [0.666667,0.727273] f_measure 0.89899 [0.888889,0.909091] f_measure 0.69697 [0.666667,0.727273] f_measure 0.67033 [0.571429,0.769231] f_measure 0.70303 [0.666667,0.727273] f_measure 0.8 [0.8,0.8] f_measure 0.8 [0.8,0.8] f_measure 0.8 [0.75,0.833333] f_measure 0.791667 [0.75,0.833333] f_measure 0.69697 [0.666667,0.727273] f_measure 0.8 [0.8,0.8] f_measure 0.505051 [0.444444,0.545455] f_measure 0.896703 [0.857143,0.923077] f_measure 1 [1,1] f_measure 0.791667 [0.833333,0.75] f_measure 0.90101 [0.888889,0.909091] f_measure 1 [1,1] f_measure 0.4 [0.4,0.4] f_measure 0.8 [0.75,0.833333] f_measure 0.70303 [0.666667,0.727273] f_measure 0.69697 [0.727273,0.666667] f_measure 0.90101 [0.888889,0.909091] f_measure 0.4 [0.4,0.4] f_measure 0.8 [0.75,0.833333] f_measure 0.583333 [0.666667,0.5] f_measure 0.90101 [0.888889,0.909091] f_measure 0.70303 [0.666667,0.727273] f_measure 1 [1,1] f_measure 0.4 [0.4,0.4] f_measure 0.8 [0.75,0.833333] f_measure 0.791667 [0.75,0.833333] f_measure 0.70303 [0.666667,0.727273] f_measure 0.6 [0.6,0.6] f_measure 0.70303 [0.666667,0.727273] f_measure 0.8 [0.8,0.8] f_measure 0.90101 [0.888889,0.909091] f_measure 0.8 [0.75,0.833333] f_measure 1 [1,1] f_measure 0.8 [0.75,0.833333] f_measure 0.690909 [0.727273,0.666667] f_measure 0.791667 [0.75,0.833333] f_measure 0.90101 [0.888889,0.909091] f_measure 0.8 [0.75,0.833333] f_measure 0.8 [0.75,0.833333] f_measure 0.583333 [0.5,0.666667] f_measure 0.6 [0.5,0.666667] f_measure 0.70303 [0.666667,0.727273] f_measure 0.69697 [0.666667,0.727273] f_measure 1 [1,1] f_measure 0.69011 [0.571429,0.769231] f_measure 0.8 [0.8,0.8] f_measure 0.90101 [0.888889,0.909091] f_measure 0.780952 [0.666667,0.857143] f_measure 0.690909 [0.727273,0.666667] f_measure 0.8 [0.8,0.8] f_measure 0.780952 [0.666667,0.857143] f_measure 0.8 [0.75,0.833333] f_measure 0.69697 [0.666667,0.727273] f_measure 0.8 [0.75,0.833333] f_measure 0.896703 [0.857143,0.923077] kappa 0.4 kappa 0.4 kappa 1 kappa 0.2 kappa 0.8 kappa 0.8 kappa 1 kappa 0.583333 kappa 0.8 kappa 1 kappa 0.615385 kappa 0.6 kappa 1 kappa 0.4 kappa 0.545455 kappa 0.4 kappa 0.8 kappa 0.4 kappa 0.8 kappa 0.8 kappa 0.583333 kappa 0.8 kappa 0.2 kappa 0.6 kappa 0.583333 kappa 0.6 kappa 0.2 kappa 0.545455 kappa 0.6 kappa 0.2 kappa 0.090909 kappa 0.2 kappa 0.4 kappa 0.8 kappa 0.8 kappa 0.2 kappa 0.2 kappa 0 kappa 0.2 kappa 0.2 kappa 0.4 kappa 0.8 kappa 0.4 kappa 0.4 kappa 0.4 kappa 0.6 kappa 0.6 kappa 0.583333 kappa 0.6 kappa 0.4 kappa 0.6 kappa 0 kappa 0.782609 kappa 1 kappa 0.6 kappa 0.8 kappa 1 kappa -0.2 kappa 0.583333 kappa 0.4 kappa 0.4 kappa 0.8 kappa -0.153846 kappa 0.583333 kappa 0.2 kappa 0.8 kappa 0.4 kappa 1 kappa -0.153846 kappa 0.583333 kappa 0.6 kappa 0.4 kappa 0.230769 kappa 0.4 kappa 0.6 kappa 0.8 kappa 0.583333 kappa 1 kappa 0.583333 kappa 0.444444 kappa 0.6 kappa 0.8 kappa 0.583333 kappa 0.583333 kappa 0.2 kappa 0.166667 kappa 0.4 kappa 0.4 kappa 1 kappa 0.347826 kappa 0.6 kappa 0.8 kappa 0.545455 kappa 0.444444 kappa 0.6 kappa 0.545455 kappa 0.583333 kappa 0.4 kappa 0.583333 kappa 0.782609 kb_relative_information_score 3.920969 kb_relative_information_score 5.440015 kb_relative_information_score 7.462232 kb_relative_information_score 2.73069 kb_relative_information_score 7.575871 kb_relative_information_score 5.62267 kb_relative_information_score 8.255733 kb_relative_information_score 5.223347 kb_relative_information_score 6.450775 kb_relative_information_score 8.246416 kb_relative_information_score 5.08193 kb_relative_information_score 5.546086 kb_relative_information_score 8.268417 kb_relative_information_score 3.740045 kb_relative_information_score 3.713991 kb_relative_information_score 3.883914 kb_relative_information_score 7.627786 kb_relative_information_score 4.251899 kb_relative_information_score 6.560481 kb_relative_information_score 7.190361 kb_relative_information_score 5.966792 kb_relative_information_score 7.307113 kb_relative_information_score 2.515905 kb_relative_information_score 4.660651 kb_relative_information_score 5.216653 kb_relative_information_score 3.927296 kb_relative_information_score 2.705712 kb_relative_information_score 6.017034 kb_relative_information_score 6.400779 kb_relative_information_score 2.582917 kb_relative_information_score 3.207785 kb_relative_information_score 0.361327 kb_relative_information_score 5.166345 kb_relative_information_score 7.815681 kb_relative_information_score 7.575871 kb_relative_information_score 3.7915 kb_relative_information_score 2.644189 kb_relative_information_score 0.385168 kb_relative_information_score 1.128781 kb_relative_information_score 2.069548 kb_relative_information_score 3.404982 kb_relative_information_score 6.700444 kb_relative_information_score 2.942241 kb_relative_information_score 4.557275 kb_relative_information_score 3.261442 kb_relative_information_score 5.553815 kb_relative_information_score 6.225833 kb_relative_information_score 3.35083 kb_relative_information_score 5.637946 kb_relative_information_score 5.440015 kb_relative_information_score 5.608789 kb_relative_information_score -0.815484 kb_relative_information_score 5.880353 kb_relative_information_score 7.944901 kb_relative_information_score 5.438682 kb_relative_information_score 6.95827 kb_relative_information_score 8.054803 kb_relative_information_score -0.654344 kb_relative_information_score 5.197188 kb_relative_information_score 4.323169 kb_relative_information_score 3.72321 kb_relative_information_score 6.816755 kb_relative_information_score 0.35909 kb_relative_information_score 4.738677 kb_relative_information_score 1.880707 kb_relative_information_score 6.944162 kb_relative_information_score 2.708113 kb_relative_information_score 8.268417 kb_relative_information_score -0.890814 kb_relative_information_score 5.09676 kb_relative_information_score 5.898378 kb_relative_information_score 3.395788 kb_relative_information_score 1.53761 kb_relative_information_score 2.686489 kb_relative_information_score 5.518353 kb_relative_information_score 5.768749 kb_relative_information_score 3.744196 kb_relative_information_score 8.998577 kb_relative_information_score 5.760787 kb_relative_information_score 3.118748 kb_relative_information_score 6.386547 kb_relative_information_score 7.00818 kb_relative_information_score 5.769858 kb_relative_information_score 4.47136 kb_relative_information_score 2.705712 kb_relative_information_score 2.25003 kb_relative_information_score 2.641783 kb_relative_information_score 2.970744 kb_relative_information_score 8.663705 kb_relative_information_score 3.425343 kb_relative_information_score 4.535119 kb_relative_information_score 6.95827 kb_relative_information_score 5.829342 kb_relative_information_score 4.560008 kb_relative_information_score 5.312554 kb_relative_information_score 4.683514 kb_relative_information_score 5.381591 kb_relative_information_score 5.440015 kb_relative_information_score 3.472585 kb_relative_information_score 6.214748 mean_absolute_error 0.297905 mean_absolute_error 0.23975 mean_absolute_error 0.147965 mean_absolute_error 0.367557 mean_absolute_error 0.121926 mean_absolute_error 0.234453 mean_absolute_error 0.108242 mean_absolute_error 0.238249 mean_absolute_error 0.195339 mean_absolute_error 0.109556 mean_absolute_error 0.243838 mean_absolute_error 0.235861 mean_absolute_error 0.111162 mean_absolute_error 0.321164 mean_absolute_error 0.307449 mean_absolute_error 0.311631 mean_absolute_error 0.141615 mean_absolute_error 0.282173 mean_absolute_error 0.191183 mean_absolute_error 0.156862 mean_absolute_error 0.200934 mean_absolute_error 0.153466 mean_absolute_error 0.373586 mean_absolute_error 0.279148 mean_absolute_error 0.23864 mean_absolute_error 0.316045 mean_absolute_error 0.368141 mean_absolute_error 0.200802 mean_absolute_error 0.195525 mean_absolute_error 0.372807 mean_absolute_error 0.330535 mean_absolute_error 0.488282 mean_absolute_error 0.247691 mean_absolute_error 0.124965 mean_absolute_error 0.121926 mean_absolute_error 0.308721 mean_absolute_error 0.363315 mean_absolute_error 0.471146 mean_absolute_error 0.448579 mean_absolute_error 0.396236 mean_absolute_error 0.324322 mean_absolute_error 0.178606 mean_absolute_error 0.361057 mean_absolute_error 0.281219 mean_absolute_error 0.32965 mean_absolute_error 0.235316 mean_absolute_error 0.201087 mean_absolute_error 0.338317 mean_absolute_error 0.220524 mean_absolute_error 0.23975 mean_absolute_error 0.22867 mean_absolute_error 0.52423 mean_absolute_error 0.207753 mean_absolute_error 0.113762 mean_absolute_error 0.24006 mean_absolute_error 0.157442 mean_absolute_error 0.110159 mean_absolute_error 0.520641 mean_absolute_error 0.239944 mean_absolute_error 0.279451 mean_absolute_error 0.322216 mean_absolute_error 0.164318 mean_absolute_error 0.464438 mean_absolute_error 0.260372 mean_absolute_error 0.409864 mean_absolute_error 0.154411 mean_absolute_error 0.361476 mean_absolute_error 0.111162 mean_absolute_error 0.522557 mean_absolute_error 0.242802 mean_absolute_error 0.223099 mean_absolute_error 0.324889 mean_absolute_error 0.413601 mean_absolute_error 0.361818 mean_absolute_error 0.235047 mean_absolute_error 0.215908 mean_absolute_error 0.314865 mean_absolute_error 0.075402 mean_absolute_error 0.207724 mean_absolute_error 0.338664 mean_absolute_error 0.196406 mean_absolute_error 0.158526 mean_absolute_error 0.209234 mean_absolute_error 0.276268 mean_absolute_error 0.368141 mean_absolute_error 0.375761 mean_absolute_error 0.362661 mean_absolute_error 0.360418 mean_absolute_error 0.078512 mean_absolute_error 0.323025 mean_absolute_error 0.284104 mean_absolute_error 0.157441 mean_absolute_error 0.199564 mean_absolute_error 0.263633 mean_absolute_error 0.247206 mean_absolute_error 0.263758 mean_absolute_error 0.225018 mean_absolute_error 0.23975 mean_absolute_error 0.324551 mean_absolute_error 0.193483 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] precision 0.72 [0.6,0.8] precision 0.708333 [0.75,0.666667] precision 1 [1,1] precision 0.619048 [0.571429,0.666667] precision 0.92 [0.8,1] precision 0.916667 [1,0.833333] precision 1 [1,1] precision 0.8 [0.75,0.833333] precision 0.916667 [0.833333,1] precision 1 [1,1] precision 0.866667 [0.666667,1] precision 0.8 [0.8,0.8] precision 1 [1,1] precision 0.8125 [1,0.625] precision 0.85 [1,0.75] precision 0.8125 [1,0.625] precision 0.916667 [0.833333,1] precision 0.72 [0.6,0.8] precision 0.916667 [0.833333,1] precision 0.916667 [0.833333,1] precision 0.8 [0.75,0.833333] precision 0.916667 [1,0.833333] precision 0.777778 [0.555556,1] precision 0.8 [0.8,0.8] precision 0.8 [0.75,0.833333] precision 0.8 [0.8,0.8] precision 0.619048 [0.666667,0.571429] precision 0.85 [1,0.75] precision 0.8 [0.8,0.8] precision 0.6 [0.6,0.6] precision 0.575 [0.5,0.625] precision 0.777778 [1,0.555556] precision 0.708333 [0.666667,0.75] precision 0.916667 [0.833333,1] precision 0.92 [0.8,1] precision 0.619048 [0.571429,0.666667] precision 0.6 [0.6,0.6] precision 0.52 [0.4,0.6] precision 0.6 [0.6,0.6] precision 0.619048 [0.666667,0.571429] precision 0.72 [0.6,0.8] precision 0.916667 [1,0.833333] precision 0.708333 [0.75,0.666667] precision 0.8125 [1,0.625] precision 0.72 [0.6,0.8] precision 0.8 [0.8,0.8] precision 0.8 [0.8,0.8] precision 0.8 [0.75,0.833333] precision 0.857143 [1,0.714286] precision 0.708333 [0.75,0.666667] precision 0.8 [0.8,0.8] precision 0.52 [0.4,0.6] precision 0.914286 [1,0.857143] precision 1 [1,1] precision 0.857143 [0.714286,1] precision 0.92 [0.8,1] precision 1 [1,1] precision 0.4 [0.4,0.4] precision 0.8 [0.75,0.833333] precision 0.72 [0.6,0.8] precision 0.708333 [0.666667,0.75] precision 0.92 [0.8,1] precision 0.433333 [0.333333,0.5] precision 0.8 [0.75,0.833333] precision 0.619048 [0.571429,0.666667] precision 0.92 [0.8,1] precision 0.72 [0.6,0.8] precision 1 [1,1] precision 0.433333 [0.333333,0.5] precision 0.8 [0.75,0.833333] precision 0.857143 [1,0.714286] precision 0.72 [0.6,0.8] precision 0.65 [0.5,0.75] precision 0.72 [0.6,0.8] precision 0.8 [0.8,0.8] precision 0.92 [0.8,1] precision 0.8 [0.75,0.833333] precision 1 [1,1] precision 0.8 [0.75,0.833333] precision 0.828571 [0.571429,1] precision 0.857143 [1,0.714286] precision 0.92 [0.8,1] precision 0.8 [0.75,0.833333] precision 0.8 [0.75,0.833333] precision 0.619048 [0.666667,0.571429] precision 0.6 [0.5,0.666667] precision 0.72 [0.6,0.8] precision 0.708333 [0.75,0.666667] precision 1 [1,1] precision 0.695238 [0.666667,0.714286] precision 0.8 [0.8,0.8] precision 0.92 [0.8,1] precision 0.85 [1,0.75] precision 0.828571 [0.571429,1] precision 0.8 [0.8,0.8] precision 0.85 [1,0.75] precision 0.8 [0.75,0.833333] precision 0.708333 [0.75,0.666667] precision 0.8 [0.75,0.833333] precision 0.914286 [1,0.857143] predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 1 predictive_accuracy 0.6 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 1 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 1 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 1 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.5 predictive_accuracy 0.9 predictive_accuracy 1 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 1 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 1 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 1 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 1 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.9 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 recall 0.7 [0.75,0.666667] recall 0.7 [0.6,0.8] recall 1 [1,1] recall 0.6 [0.8,0.4] recall 0.9 [1,0.833333] recall 0.9 [0.8,1] recall 1 [1,1] recall 0.8 [0.75,0.833333] recall 0.9 [1,0.8] recall 1 [1,1] recall 0.8 [1,0.666667] recall 0.8 [0.8,0.8] recall 1 [1,1] recall 0.7 [0.4,1] recall 0.8 [0.5,1] recall 0.7 [0.4,1] recall 0.9 [1,0.8] recall 0.7 [0.75,0.666667] recall 0.9 [1,0.8] recall 0.9 [1,0.8] recall 0.8 [0.75,0.833333] recall 0.9 [0.8,1] recall 0.6 [1,0.2] recall 0.8 [0.8,0.8] recall 0.8 [0.75,0.833333] recall 0.8 [0.8,0.8] recall 0.6 [0.4,0.8] recall 0.8 [0.5,1] recall 0.8 [0.8,0.8] recall 0.6 [0.6,0.6] recall 0.6 [0.25,0.833333] recall 0.6 [0.2,1] recall 0.7 [0.8,0.6] recall 0.9 [1,0.8] recall 0.9 [1,0.833333] recall 0.6 [0.8,0.4] recall 0.6 [0.6,0.6] recall 0.5 [0.5,0.5] recall 0.6 [0.6,0.6] recall 0.6 [0.4,0.8] recall 0.7 [0.75,0.666667] recall 0.9 [0.8,1] recall 0.7 [0.6,0.8] recall 0.7 [0.4,1] recall 0.7 [0.75,0.666667] recall 0.8 [0.8,0.8] recall 0.8 [0.8,0.8] recall 0.8 [0.75,0.833333] recall 0.8 [0.6,1] recall 0.7 [0.6,0.8] recall 0.8 [0.8,0.8] recall 0.5 [0.5,0.5] recall 0.9 [0.75,1] recall 1 [1,1] recall 0.8 [1,0.6] recall 0.9 [1,0.833333] recall 1 [1,1] recall 0.4 [0.4,0.4] recall 0.8 [0.75,0.833333] recall 0.7 [0.75,0.666667] recall 0.7 [0.8,0.6] recall 0.9 [1,0.833333] recall 0.4 [0.5,0.333333] recall 0.8 [0.75,0.833333] recall 0.6 [0.8,0.4] recall 0.9 [1,0.833333] recall 0.7 [0.75,0.666667] recall 1 [1,1] recall 0.4 [0.5,0.333333] recall 0.8 [0.75,0.833333] recall 0.8 [0.6,1] recall 0.7 [0.75,0.666667] recall 0.6 [0.75,0.5] recall 0.7 [0.75,0.666667] recall 0.8 [0.8,0.8] recall 0.9 [1,0.833333] recall 0.8 [0.75,0.833333] recall 1 [1,1] recall 0.8 [0.75,0.833333] recall 0.7 [1,0.5] recall 0.8 [0.6,1] recall 0.9 [1,0.833333] recall 0.8 [0.75,0.833333] recall 0.8 [0.75,0.833333] recall 0.6 [0.4,0.8] recall 0.6 [0.5,0.666667] recall 0.7 [0.75,0.666667] recall 0.7 [0.6,0.8] recall 1 [1,1] recall 0.7 [0.5,0.833333] recall 0.8 [0.8,0.8] recall 0.9 [1,0.833333] recall 0.8 [0.5,1] recall 0.7 [1,0.5] recall 0.8 [0.8,0.8] recall 0.8 [0.5,1] recall 0.8 [0.75,0.833333] recall 0.7 [0.6,0.8] recall 0.8 [0.75,0.833333] recall 0.9 [0.75,1] relative_absolute_error 0.607727 relative_absolute_error 0.479499 relative_absolute_error 0.29593 relative_absolute_error 0.735114 relative_absolute_error 0.248729 relative_absolute_error 0.468906 relative_absolute_error 0.216485 relative_absolute_error 0.486027 relative_absolute_error 0.390678 relative_absolute_error 0.219112 relative_absolute_error 0.497429 relative_absolute_error 0.471721 relative_absolute_error 0.222323 relative_absolute_error 0.642328 relative_absolute_error 0.627195 relative_absolute_error 0.623261 relative_absolute_error 0.28323 relative_absolute_error 0.575633 relative_absolute_error 0.382366 relative_absolute_error 0.313723 relative_absolute_error 0.409905 relative_absolute_error 0.306931 relative_absolute_error 0.747172 relative_absolute_error 0.558296 relative_absolute_error 0.486825 relative_absolute_error 0.63209 relative_absolute_error 0.736283 relative_absolute_error 0.409636 relative_absolute_error 0.39105 relative_absolute_error 0.745614 relative_absolute_error 0.674291 relative_absolute_error 0.976564 relative_absolute_error 0.495381 relative_absolute_error 0.249931 relative_absolute_error 0.248729 relative_absolute_error 0.617442 relative_absolute_error 0.726631 relative_absolute_error 0.961138 relative_absolute_error 0.897157 relative_absolute_error 0.792472 relative_absolute_error 0.661617 relative_absolute_error 0.357212 relative_absolute_error 0.722114 relative_absolute_error 0.562438 relative_absolute_error 0.672486 relative_absolute_error 0.470632 relative_absolute_error 0.402175 relative_absolute_error 0.690166 relative_absolute_error 0.441048 relative_absolute_error 0.479499 relative_absolute_error 0.457341 relative_absolute_error 1.06943 relative_absolute_error 0.423816 relative_absolute_error 0.232075 relative_absolute_error 0.480121 relative_absolute_error 0.321181 relative_absolute_error 0.224725 relative_absolute_error 1.041283 relative_absolute_error 0.489485 relative_absolute_error 0.57008 relative_absolute_error 0.644433 relative_absolute_error 0.335208 relative_absolute_error 0.947452 relative_absolute_error 0.531159 relative_absolute_error 0.819728 relative_absolute_error 0.314998 relative_absolute_error 0.737411 relative_absolute_error 0.222323 relative_absolute_error 1.066016 relative_absolute_error 0.495316 relative_absolute_error 0.446197 relative_absolute_error 0.662774 relative_absolute_error 0.843746 relative_absolute_error 0.738108 relative_absolute_error 0.470094 relative_absolute_error 0.440452 relative_absolute_error 0.642325 relative_absolute_error 0.150805 relative_absolute_error 0.423758 relative_absolute_error 0.690874 relative_absolute_error 0.392813 relative_absolute_error 0.323393 relative_absolute_error 0.426838 relative_absolute_error 0.563587 relative_absolute_error 0.736283 relative_absolute_error 0.766552 relative_absolute_error 0.739828 relative_absolute_error 0.720837 relative_absolute_error 0.160165 relative_absolute_error 0.65897 relative_absolute_error 0.568207 relative_absolute_error 0.321181 relative_absolute_error 0.40711 relative_absolute_error 0.537811 relative_absolute_error 0.494413 relative_absolute_error 0.538066 relative_absolute_error 0.459037 relative_absolute_error 0.479499 relative_absolute_error 0.662083 relative_absolute_error 0.394705 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.492543 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