371059 2 Joaquin Vanschoren 4647 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 1107 tumors_C https://www.openml.org/data/download/53990/tumors_C.arff -1 1288018 description https://api.openml.org/data/download/1288018/weka_generated_run9206138686138146521.xml -1 1288021 model_readable https://api.openml.org/data/download/1288021/WekaModel_weka.classifiers.bayes.BayesNet8592432902646931751.model -1 1288020 model_serialized https://api.openml.org/data/download/1288020/WekaSerialized_weka.classifiers.bayes.BayesNet9093799363657495857.model -1 1288019 predictions https://api.openml.org/data/download/1288019/weka_generated_predictions2021886172239662557.arff area_under_roc_curve 0.584426 [0.584426,0.584426] average_cost 0 f_measure 0.615366 [0.437346,0.711223] kappa 0.149015 kb_relative_information_score 81.123245 mean_absolute_error 0.379023 mean_prior_absolute_error 0.456452 number_of_instances 600 [210,390] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.612961 [0.451777,0.699752] predictive_accuracy 0.618333 prior_entropy 0.938315 recall 0.618333 [0.42381,0.723077] relative_absolute_error 0.830369 root_mean_prior_squared_error 0.476994 root_mean_squared_error 0.609891 root_relative_squared_error 1.278612 scimark_benchmark 1362.992396 [813.1658067645254, 974.6863985124262, 516.7189180534734, 1066.9271394729271, 3443.4637147259] total_cost 0 usercpu_time_millis 220 usercpu_time_millis_testing 70 usercpu_time_millis_training 150 area_under_roc_curve 0.722222 [0.722222,0.722222] area_under_roc_curve 0.777778 [0.777778,0.777778] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.555556 [0.555556,0.555556] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5625 [0.5625,0.5625] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 0.5625 [0.5625,0.5625] area_under_roc_curve 0.4375 [0.4375,0.4375] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5625 [0.5625,0.5625] area_under_roc_curve 0.6875 [0.6875,0.6875] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.6875 [0.6875,0.6875] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.5625 [0.5625,0.5625] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.5625 [0.5625,0.5625] area_under_roc_curve 0.8125 [0.8125,0.8125] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.6875 [0.6875,0.6875] area_under_roc_curve 0.6875 [0.6875,0.6875] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.5625 [0.5625,0.5625] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.4375 [0.4375,0.4375] area_under_roc_curve 0 [0,0] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5625 [0.5625,0.5625] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.6875 [0.6875,0.6875] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.3125 [0.3125,0.3125] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.4375 [0.4375,0.4375] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.125 [0.125,0.125] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.5625 [0.5625,0.5625] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.333333 [0.333333,0.333333] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.333333 [0.333333,0.333333] area_under_roc_curve 0.5625 [0.5625,0.5625] area_under_roc_curve 0.6875 [0.6875,0.6875] area_under_roc_curve 0.5625 [0.5625,0.5625] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.777778 [0.777778,0.777778] 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 0.666667 [0.666667,0.666667] f_measure 0.625 [0.5,0.75] f_measure 0.838095 [0.8,0.857143] f_measure 0.666667 [0.666667,0.666667] f_measure 0.444444 [0,0.666667] f_measure 0.666667 [0.666667,0.666667] f_measure 0.485714 [0.571429,0.4] f_measure 0.333333 [0,0.666667] f_measure 0.838095 [0.8,0.857143] f_measure 0.444444 [0,0.666667] f_measure 0.666667 [0.5,0.75] f_measure 0.666667 [0.5,0.75] f_measure 0.814815 [0.666667,0.888889] f_measure 0.444444 [0,0.666667] f_measure 0.666667 [0.5,0.75] f_measure 0.514286 [0.4,0.571429] f_measure 1 [1,1] f_measure 0.444444 [0,0.666667] f_measure 0.514286 [0.4,0.571429] f_measure 0.666667 [0.5,0.75] f_measure 0.444444 [0,0.666667] f_measure 0.814815 [0.666667,0.888889] f_measure 0.666667 [0.5,0.75] f_measure 0.666667 [0.5,0.75] f_measure 0.814815 [0.666667,0.888889] f_measure 0.666667 [0.5,0.75] f_measure 0.814815 [0.666667,0.888889] f_measure 0.533333 [0,0.8] f_measure 0.814815 [0.666667,0.888889] f_measure 0.444444 [0,0.666667] f_measure 0.814815 [0.666667,0.888889] f_measure 0.533333 [0,0.8] f_measure 0.666667 [0.5,0.75] f_measure 0.666667 [0.5,0.75] f_measure 0.838095 [0.8,0.857143] f_measure 1 [1,1] f_measure 0.514286 [0.4,0.571429] f_measure 1 [1,1] f_measure 0.666667 [0.5,0.75] f_measure 0.814815 [0.666667,0.888889] f_measure 0.444444 [0,0.666667] f_measure 0.514286 [0.4,0.571429] f_measure 0.514286 [0.4,0.571429] f_measure 0.166667 [0.5,0] f_measure 0.838095 [0.8,0.857143] f_measure 0.533333 [0,0.8] f_measure 0.814815 [0.666667,0.888889] f_measure 0.514286 [0.4,0.571429] f_measure 0.666667 [0.5,0.75] f_measure 0.333333 [0,0.5] f_measure 0.457143 [0.571429,0.4] f_measure 0.814815 [0.666667,0.888889] f_measure 0.514286 [0.4,0.571429] f_measure 0.666667 [0.5,0.75] f_measure 0.814815 [0.666667,0.888889] f_measure 0.333333 [0,0.5] f_measure 0.814815 [0.666667,0.888889] f_measure 0.514286 [0.4,0.571429] f_measure 0 [0,0] f_measure 0.514286 [0.4,0.571429] f_measure 0.514286 [0.4,0.571429] f_measure 0.533333 [0,0.8] f_measure 0.514286 [0.4,0.571429] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.814815 [0.666667,0.888889] f_measure 0.666667 [0.5,0.75] f_measure 0.444444 [0,0.666667] f_measure 0.814815 [0.666667,0.888889] f_measure 0.533333 [0,0.8] f_measure 0.095238 [0.285714,0] f_measure 0.666667 [0.5,0.75] f_measure 0.666667 [0.5,0.75] f_measure 0.514286 [0.4,0.571429] f_measure 0.514286 [0.4,0.571429] f_measure 0.190476 [0,0.285714] f_measure 0.814815 [0.666667,0.888889] f_measure 0.666667 [0.5,0.75] f_measure 0.333333 [0.333333,0.333333] f_measure 0.814815 [0.666667,0.888889] f_measure 0.444444 [0,0.666667] f_measure 0.533333 [0,0.8] f_measure 0.533333 [0,0.8] f_measure 0.514286 [0.4,0.571429] f_measure 0.514286 [0.4,0.571429] f_measure 0.333333 [0,0.5] f_measure 0.333333 [0.333333,0.333333] f_measure 0.444444 [0,0.666667] f_measure 1 [1,1] f_measure 0.666667 [0.5,0.75] f_measure 0.666667 [0.666667,0.666667] f_measure 0.25 [0,0.5] f_measure 0.666667 [0.666667,0.666667] f_measure 0.25 [0,0.5] f_measure 0.333333 [0.333333,0.333333] f_measure 0.666667 [0.5,0.75] f_measure 0.666667 [0.5,0.75] f_measure 0.625 [0.5,0.75] f_measure 0.666667 [0.666667,0.666667] kappa 0.333333 kappa 0.333333 kappa 0.666667 kappa 0.4 kappa -0.285714 kappa 0.333333 kappa 0 kappa 0 kappa 0.666667 kappa -0.285714 kappa 0.25 kappa 0.25 kappa 0.571429 kappa -0.285714 kappa 0.25 kappa 0 kappa 1 kappa -0.285714 kappa 0 kappa 0.25 kappa -0.285714 kappa 0.571429 kappa 0.25 kappa 0.25 kappa 0.571429 kappa 0.25 kappa 0.571429 kappa 0 kappa 0.571429 kappa -0.285714 kappa 0.571429 kappa 0 kappa 0.25 kappa 0.25 kappa 0.666667 kappa 1 kappa 0 kappa 1 kappa 0.25 kappa 0.571429 kappa -0.285714 kappa 0 kappa 0 kappa 0 kappa 0.666667 kappa 0 kappa 0.571429 kappa 0 kappa 0.25 kappa -0.5 kappa 0.181818 kappa 0.571429 kappa 0 kappa 0.25 kappa 0.571429 kappa -0.5 kappa 0.571429 kappa 0 kappa -0.8 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0.571429 kappa 0.25 kappa -0.285714 kappa 0.571429 kappa 0 kappa -0.363636 kappa 0.25 kappa 0.25 kappa 0 kappa 0 kappa -0.666667 kappa 0.571429 kappa 0.25 kappa -0.2 kappa 0.571429 kappa -0.285714 kappa 0 kappa 0 kappa 0 kappa 0 kappa -0.5 kappa -0.2 kappa -0.285714 kappa 1 kappa 0.25 kappa 0.4 kappa -0.333333 kappa 0.333333 kappa -0.333333 kappa -0.2 kappa 0.25 kappa 0.25 kappa 0.333333 kappa 0.333333 kb_relative_information_score 2.403956 kb_relative_information_score 2.700419 kb_relative_information_score 3.614183 kb_relative_information_score 1.348013 kb_relative_information_score -0.91932 kb_relative_information_score 2.258978 kb_relative_information_score 0.000011 kb_relative_information_score 0 kb_relative_information_score 3.542775 kb_relative_information_score -1.523032 kb_relative_information_score 0.909835 kb_relative_information_score 1.34496 kb_relative_information_score 3.544609 kb_relative_information_score -0.919198 kb_relative_information_score 1.347124 kb_relative_information_score -0.990036 kb_relative_information_score 5.881291 kb_relative_information_score -0.912285 kb_relative_information_score -0.950005 kb_relative_information_score 1.316692 kb_relative_information_score -0.319167 kb_relative_information_score 3.495035 kb_relative_information_score 1.734772 kb_relative_information_score 1.345926 kb_relative_information_score 3.617751 kb_relative_information_score 1.341254 kb_relative_information_score 3.616609 kb_relative_information_score 1.304202 kb_relative_information_score 3.614418 kb_relative_information_score -0.919197 kb_relative_information_score 3.728111 kb_relative_information_score 1.34901 kb_relative_information_score 1.542827 kb_relative_information_score 1.347656 kb_relative_information_score 3.613917 kb_relative_information_score 5.825553 kb_relative_information_score -0.919197 kb_relative_information_score 5.870526 kb_relative_information_score 1.347668 kb_relative_information_score 3.614495 kb_relative_information_score -0.919197 kb_relative_information_score -0.919383 kb_relative_information_score -0.992755 kb_relative_information_score -2.544738 kb_relative_information_score 3.612874 kb_relative_information_score 1.560055 kb_relative_information_score 3.61452 kb_relative_information_score -0.526854 kb_relative_information_score 1.349324 kb_relative_information_score -3.029898 kb_relative_information_score -0.917999 kb_relative_information_score 3.042296 kb_relative_information_score -0.833209 kb_relative_information_score 1.347664 kb_relative_information_score 3.733347 kb_relative_information_score -3.18606 kb_relative_information_score 3.614099 kb_relative_information_score -0.918991 kb_relative_information_score -7.719685 kb_relative_information_score -0.919201 kb_relative_information_score -0.919204 kb_relative_information_score 1.347667 kb_relative_information_score -0.918697 kb_relative_information_score 1.348247 kb_relative_information_score 1.347667 kb_relative_information_score 1.354707 kb_relative_information_score 3.614521 kb_relative_information_score 1.319735 kb_relative_information_score -0.371656 kb_relative_information_score 3.614504 kb_relative_information_score 1.347674 kb_relative_information_score -5.257987 kb_relative_information_score 1.347667 kb_relative_information_score 1.314968 kb_relative_information_score -0.924793 kb_relative_information_score -0.919197 kb_relative_information_score -5.452924 kb_relative_information_score 3.441603 kb_relative_information_score 1.347667 kb_relative_information_score -2.800668 kb_relative_information_score 3.571175 kb_relative_information_score -0.918546 kb_relative_information_score 1.34828 kb_relative_information_score 1.378477 kb_relative_information_score -0.919197 kb_relative_information_score -0.049004 kb_relative_information_score -3.18606 kb_relative_information_score -3.18606 kb_relative_information_score -0.919198 kb_relative_information_score 5.828655 kb_relative_information_score 1.347561 kb_relative_information_score 1.347667 kb_relative_information_score -2.266864 kb_relative_information_score 1.863613 kb_relative_information_score -2.266864 kb_relative_information_score -2.878496 kb_relative_information_score 1.348084 kb_relative_information_score 1.347665 kb_relative_information_score 2.266619 kb_relative_information_score 2.28689 mean_absolute_error 0.319641 mean_absolute_error 0.292403 mean_absolute_error 0.166704 mean_absolute_error 0.333296 mean_absolute_error 0.500013 mean_absolute_error 0.334186 mean_absolute_error 0.499999 mean_absolute_error 0.5 mean_absolute_error 0.173607 mean_absolute_error 0.554131 mean_absolute_error 0.37464 mean_absolute_error 0.333627 mean_absolute_error 0.17408 mean_absolute_error 0.5 mean_absolute_error 0.333392 mean_absolute_error 0.507505 mean_absolute_error 0.000011 mean_absolute_error 0.499252 mean_absolute_error 0.503306 mean_absolute_error 0.336657 mean_absolute_error 0.446147 mean_absolute_error 0.17913 mean_absolute_error 0.295931 mean_absolute_error 0.333522 mean_absolute_error 0.166319 mean_absolute_error 0.334027 mean_absolute_error 0.166441 mean_absolute_error 0.337979 mean_absolute_error 0.166679 mean_absolute_error 0.5 mean_absolute_error 0.154833 mean_absolute_error 0.333188 mean_absolute_error 0.312998 mean_absolute_error 0.333335 mean_absolute_error 0.166733 mean_absolute_error 0.005953 mean_absolute_error 0.5 mean_absolute_error 0.001174 mean_absolute_error 0.333333 mean_absolute_error 0.16667 mean_absolute_error 0.5 mean_absolute_error 0.50002 mean_absolute_error 0.507786 mean_absolute_error 0.609823 mean_absolute_error 0.166846 mean_absolute_error 0.311838 mean_absolute_error 0.166668 mean_absolute_error 0.462171 mean_absolute_error 0.333154 mean_absolute_error 0.650567 mean_absolute_error 0.49987 mean_absolute_error 0.219972 mean_absolute_error 0.490931 mean_absolute_error 0.333334 mean_absolute_error 0.15457 mean_absolute_error 0.666667 mean_absolute_error 0.166713 mean_absolute_error 0.499978 mean_absolute_error 0.999989 mean_absolute_error 0.5 mean_absolute_error 0.500001 mean_absolute_error 0.333333 mean_absolute_error 0.499946 mean_absolute_error 0.333271 mean_absolute_error 0.333333 mean_absolute_error 0.332572 mean_absolute_error 0.166668 mean_absolute_error 0.336333 mean_absolute_error 0.45008 mean_absolute_error 0.166669 mean_absolute_error 0.333332 mean_absolute_error 0.813487 mean_absolute_error 0.333333 mean_absolute_error 0.336855 mean_absolute_error 0.500605 mean_absolute_error 0.5 mean_absolute_error 0.833333 mean_absolute_error 0.184383 mean_absolute_error 0.333333 mean_absolute_error 0.628638 mean_absolute_error 0.171301 mean_absolute_error 0.499929 mean_absolute_error 0.333267 mean_absolute_error 0.330027 mean_absolute_error 0.5 mean_absolute_error 0.429426 mean_absolute_error 0.666667 mean_absolute_error 0.666667 mean_absolute_error 0.5 mean_absolute_error 0.00564 mean_absolute_error 0.333345 mean_absolute_error 0.333333 mean_absolute_error 0.666667 mean_absolute_error 0.371783 mean_absolute_error 0.666667 mean_absolute_error 0.635157 mean_absolute_error 0.333288 mean_absolute_error 0.333334 mean_absolute_error 0.33336 mean_absolute_error 0.331205 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 number_of_instances 6 [3,3] number_of_instances 6 [3,3] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [3,3] number_of_instances 6 [3,3] number_of_instances 6 [3,3] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [3,3] number_of_instances 6 [3,3] number_of_instances 6 [3,3] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [3,3] number_of_instances 6 [3,3] precision 0.666667 [0.666667,0.666667] precision 0.8 [1,0.6] precision 0.888889 [0.666667,1] precision 0.833333 [0.5,1] precision 0.4 [0,0.6] precision 0.666667 [0.666667,0.666667] precision 0.5 [0.5,0.5] precision 0.25 [0,0.5] precision 0.888889 [0.666667,1] precision 0.4 [0,0.6] precision 0.666667 [0.5,0.75] precision 0.666667 [0.5,0.75] precision 0.866667 [1,0.8] precision 0.4 [0,0.6] precision 0.666667 [0.5,0.75] precision 0.555556 [0.333333,0.666667] precision 1 [1,1] precision 0.4 [0,0.6] precision 0.555556 [0.333333,0.666667] precision 0.666667 [0.5,0.75] precision 0.4 [0,0.6] precision 0.866667 [1,0.8] precision 0.666667 [0.5,0.75] precision 0.666667 [0.5,0.75] precision 0.866667 [1,0.8] precision 0.666667 [0.5,0.75] precision 0.866667 [1,0.8] precision 0.444444 [0,0.666667] precision 0.866667 [1,0.8] precision 0.4 [0,0.6] precision 0.866667 [1,0.8] precision 0.444444 [0,0.666667] precision 0.666667 [0.5,0.75] precision 0.666667 [0.5,0.75] precision 0.888889 [0.666667,1] precision 1 [1,1] precision 0.555556 [0.333333,0.666667] precision 1 [1,1] precision 0.666667 [0.5,0.75] precision 0.866667 [1,0.8] precision 0.4 [0,0.6] precision 0.555556 [0.333333,0.666667] precision 0.555556 [0.333333,0.666667] precision 0.111111 [0.333333,0] precision 0.888889 [0.666667,1] precision 0.444444 [0,0.666667] precision 0.866667 [1,0.8] precision 0.555556 [0.333333,0.666667] precision 0.666667 [0.5,0.75] precision 0.333333 [0,0.5] precision 0.8 [0.4,1] precision 0.866667 [1,0.8] precision 0.555556 [0.333333,0.666667] precision 0.666667 [0.5,0.75] precision 0.866667 [1,0.8] precision 0.333333 [0,0.5] precision 0.866667 [1,0.8] precision 0.555556 [0.333333,0.666667] precision 0 [0,0] precision 0.555556 [0.333333,0.666667] precision 0.555556 [0.333333,0.666667] precision 0.444444 [0,0.666667] precision 0.555556 [0.333333,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.866667 [1,0.8] precision 0.666667 [0.5,0.75] precision 0.4 [0,0.6] precision 0.866667 [1,0.8] precision 0.444444 [0,0.666667] precision 0.066667 [0.2,0] precision 0.666667 [0.5,0.75] precision 0.666667 [0.5,0.75] precision 0.555556 [0.333333,0.666667] precision 0.555556 [0.333333,0.666667] precision 0.222222 [0,0.333333] precision 0.866667 [1,0.8] precision 0.666667 [0.5,0.75] precision 0.416667 [0.25,0.5] precision 0.866667 [1,0.8] precision 0.4 [0,0.6] precision 0.444444 [0,0.666667] precision 0.444444 [0,0.666667] precision 0.555556 [0.333333,0.666667] precision 0.555556 [0.333333,0.666667] precision 0.333333 [0,0.5] precision 0.416667 [0.25,0.5] precision 0.4 [0,0.6] precision 1 [1,1] precision 0.666667 [0.5,0.75] precision 0.833333 [0.5,1] precision 0.2 [0,0.4] precision 0.666667 [0.666667,0.666667] precision 0.2 [0,0.4] precision 0.416667 [0.25,0.5] precision 0.666667 [0.5,0.75] precision 0.666667 [0.5,0.75] precision 0.8 [1,0.6] precision 0.666667 [0.666667,0.666667] predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.833333 predictive_accuracy 0.666667 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.833333 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.833333 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.5 predictive_accuracy 1 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.5 predictive_accuracy 0.833333 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.833333 predictive_accuracy 0.666667 predictive_accuracy 0.833333 predictive_accuracy 0.666667 predictive_accuracy 0.833333 predictive_accuracy 0.5 predictive_accuracy 0.833333 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.833333 predictive_accuracy 1 predictive_accuracy 0.5 predictive_accuracy 1 predictive_accuracy 0.666667 predictive_accuracy 0.833333 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.333333 predictive_accuracy 0.833333 predictive_accuracy 0.666667 predictive_accuracy 0.833333 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.333333 predictive_accuracy 0.5 predictive_accuracy 0.833333 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.833333 predictive_accuracy 0.333333 predictive_accuracy 0.833333 predictive_accuracy 0.5 predictive_accuracy 0 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.833333 predictive_accuracy 0.666667 predictive_accuracy 0.5 predictive_accuracy 0.833333 predictive_accuracy 0.666667 predictive_accuracy 0.166667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.166667 predictive_accuracy 0.833333 predictive_accuracy 0.666667 predictive_accuracy 0.333333 predictive_accuracy 0.833333 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.333333 predictive_accuracy 0.333333 predictive_accuracy 0.5 predictive_accuracy 1 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.333333 predictive_accuracy 0.666667 predictive_accuracy 0.333333 predictive_accuracy 0.333333 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 recall 0.666667 [0.666667,0.666667] recall 0.666667 [0.333333,1] recall 0.833333 [1,0.75] recall 0.666667 [1,0.5] recall 0.5 [0,0.75] recall 0.666667 [0.666667,0.666667] recall 0.5 [0.666667,0.333333] recall 0.5 [0,1] recall 0.833333 [1,0.75] recall 0.5 [0,0.75] recall 0.666667 [0.5,0.75] recall 0.666667 [0.5,0.75] recall 0.833333 [0.5,1] recall 0.5 [0,0.75] recall 0.666667 [0.5,0.75] recall 0.5 [0.5,0.5] recall 1 [1,1] recall 0.5 [0,0.75] recall 0.5 [0.5,0.5] recall 0.666667 [0.5,0.75] recall 0.5 [0,0.75] recall 0.833333 [0.5,1] recall 0.666667 [0.5,0.75] recall 0.666667 [0.5,0.75] recall 0.833333 [0.5,1] recall 0.666667 [0.5,0.75] recall 0.833333 [0.5,1] recall 0.666667 [0,1] recall 0.833333 [0.5,1] recall 0.5 [0,0.75] recall 0.833333 [0.5,1] recall 0.666667 [0,1] recall 0.666667 [0.5,0.75] recall 0.666667 [0.5,0.75] recall 0.833333 [1,0.75] recall 1 [1,1] recall 0.5 [0.5,0.5] recall 1 [1,1] recall 0.666667 [0.5,0.75] recall 0.833333 [0.5,1] recall 0.5 [0,0.75] recall 0.5 [0.5,0.5] recall 0.5 [0.5,0.5] recall 0.333333 [1,0] recall 0.833333 [1,0.75] recall 0.666667 [0,1] recall 0.833333 [0.5,1] recall 0.5 [0.5,0.5] recall 0.666667 [0.5,0.75] recall 0.333333 [0,0.5] recall 0.5 [1,0.25] recall 0.833333 [0.5,1] recall 0.5 [0.5,0.5] recall 0.666667 [0.5,0.75] recall 0.833333 [0.5,1] recall 0.333333 [0,0.5] recall 0.833333 [0.5,1] recall 0.5 [0.5,0.5] recall 0 [0,0] recall 0.5 [0.5,0.5] recall 0.5 [0.5,0.5] recall 0.666667 [0,1] recall 0.5 [0.5,0.5] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.833333 [0.5,1] recall 0.666667 [0.5,0.75] recall 0.5 [0,0.75] recall 0.833333 [0.5,1] recall 0.666667 [0,1] recall 0.166667 [0.5,0] recall 0.666667 [0.5,0.75] recall 0.666667 [0.5,0.75] recall 0.5 [0.5,0.5] recall 0.5 [0.5,0.5] recall 0.166667 [0,0.25] recall 0.833333 [0.5,1] recall 0.666667 [0.5,0.75] recall 0.333333 [0.5,0.25] recall 0.833333 [0.5,1] recall 0.5 [0,0.75] recall 0.666667 [0,1] recall 0.666667 [0,1] recall 0.5 [0.5,0.5] recall 0.5 [0.5,0.5] recall 0.333333 [0,0.5] recall 0.333333 [0.5,0.25] recall 0.5 [0,0.75] recall 1 [1,1] recall 0.666667 [0.5,0.75] recall 0.666667 [1,0.5] recall 0.333333 [0,0.666667] recall 0.666667 [0.666667,0.666667] recall 0.333333 [0,0.666667] recall 0.333333 [0.5,0.25] recall 0.666667 [0.5,0.75] recall 0.666667 [0.5,0.75] recall 0.666667 [0.333333,1] recall 0.666667 [0.666667,0.666667] relative_absolute_error 0.639283 relative_absolute_error 0.584806 relative_absolute_error 0.369131 relative_absolute_error 0.738012 relative_absolute_error 1.107172 relative_absolute_error 0.668372 relative_absolute_error 0.999998 relative_absolute_error 1 relative_absolute_error 0.384416 relative_absolute_error 1.227005 relative_absolute_error 0.82956 relative_absolute_error 0.738745 relative_absolute_error 0.385463 relative_absolute_error 1.107143 relative_absolute_error 0.738226 relative_absolute_error 1.12376 relative_absolute_error 0.000025 relative_absolute_error 1.105487 relative_absolute_error 1.114464 relative_absolute_error 0.745456 relative_absolute_error 0.987898 relative_absolute_error 0.396645 relative_absolute_error 0.655275 relative_absolute_error 0.738513 relative_absolute_error 0.368277 relative_absolute_error 0.739631 relative_absolute_error 0.368549 relative_absolute_error 0.748382 relative_absolute_error 0.369075 relative_absolute_error 1.107143 relative_absolute_error 0.342846 relative_absolute_error 0.737773 relative_absolute_error 0.693067 relative_absolute_error 0.738098 relative_absolute_error 0.369195 relative_absolute_error 0.013181 relative_absolute_error 1.107143 relative_absolute_error 0.0026 relative_absolute_error 0.738095 relative_absolute_error 0.369056 relative_absolute_error 1.107143 relative_absolute_error 1.107188 relative_absolute_error 1.124383 relative_absolute_error 1.350323 relative_absolute_error 0.369445 relative_absolute_error 0.690498 relative_absolute_error 0.36905 relative_absolute_error 1.023378 relative_absolute_error 0.737698 relative_absolute_error 1.440541 relative_absolute_error 1.106855 relative_absolute_error 0.48708 relative_absolute_error 1.087062 relative_absolute_error 0.738096 relative_absolute_error 0.342261 relative_absolute_error 1.47619 relative_absolute_error 0.369151 relative_absolute_error 1.107093 relative_absolute_error 2.214261 relative_absolute_error 1.107144 relative_absolute_error 1.107145 relative_absolute_error 0.738095 relative_absolute_error 1.107023 relative_absolute_error 0.737956 relative_absolute_error 0.738095 relative_absolute_error 0.736409 relative_absolute_error 0.36905 relative_absolute_error 0.744737 relative_absolute_error 0.996606 relative_absolute_error 0.369054 relative_absolute_error 0.738093 relative_absolute_error 1.801293 relative_absolute_error 0.738095 relative_absolute_error 0.745894 relative_absolute_error 1.108484 relative_absolute_error 1.107143 relative_absolute_error 1.845238 relative_absolute_error 0.408276 relative_absolute_error 0.738095 relative_absolute_error 1.391984 relative_absolute_error 0.379309 relative_absolute_error 1.106987 relative_absolute_error 0.737948 relative_absolute_error 0.730774 relative_absolute_error 1.107143 relative_absolute_error 0.950871 relative_absolute_error 1.47619 relative_absolute_error 1.47619 relative_absolute_error 1.107143 relative_absolute_error 0.012488 relative_absolute_error 0.738121 relative_absolute_error 0.738095 relative_absolute_error 1.333333 relative_absolute_error 0.743565 relative_absolute_error 1.333333 relative_absolute_error 1.406418 relative_absolute_error 0.737995 relative_absolute_error 0.738096 relative_absolute_error 0.66672 relative_absolute_error 0.66241 root_mean_prior_squared_error 0.520646 root_mean_prior_squared_error 0.520646 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.520646 root_mean_prior_squared_error 0.520646 root_mean_prior_squared_error 0.520646 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 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