313470 2 Joaquin Vanschoren 4204 Supervised Classification predictive_accuracy 1165 weka.A1DE(4) 1918 weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE -- -F 1 -M 1.0 F 1 1165 M 1.0 1165 weka weka_3.7.12 340 squash-stored https://www.openml.org/data/download/52243/phpH2fvsy -1 1064500 description https://api.openml.org/data/download/1064500/weka_generated_run8590098038317485471.xml -1 1064503 model_readable https://api.openml.org/data/download/1064503/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE8826779474410232579.model -1 1064502 model_serialized https://api.openml.org/data/download/1064502/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE7332135461806246642.model -1 1064501 predictions https://api.openml.org/data/download/1064501/weka_generated_predictions257505880597764855.arff area_under_roc_curve 0.733961 [0.80593,0.599386,0.880313] average_cost 0 f_measure 0.595288 [0.733333,0.491315,0.471338] kappa 0.349257 kb_relative_information_score 194.784753 mean_absolute_error 0.287201 mean_prior_absolute_error 0.41352 number_of_instances 520 [230,210,80] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.592465 [0.704,0.512953,0.480519] predictive_accuracy 0.6 prior_entropy 1.478161 recall 0.6 [0.765217,0.471429,0.4625] relative_absolute_error 0.694528 root_mean_prior_squared_error 0.45378 root_mean_squared_error 0.459255 root_relative_squared_error 1.012066 scimark_benchmark 938.04138 [552.6744499688575, 1009.9344946043965, 480.4213690634573, 904.5686674515777, 1742.6079207559749] total_cost 0 usercpu_time_millis 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 area_under_roc_curve 0.8 [1,0.5,0.8] area_under_roc_curve 0.666667 [0.666667,0.5,1] area_under_roc_curve 0.861111 [0.888889,0.75,1] area_under_roc_curve 0.669444 [0.875,0.555556,0.6] area_under_roc_curve 0.766667 [1,0.666667,0.6] area_under_roc_curve 0.888889 [1,0.777778,1] area_under_roc_curve 0.35 [0.75,0,0.6] area_under_roc_curve 0.722222 [0.888889,0.555556,0.0] area_under_roc_curve 0.688889 [0.777778,0.5,0.8] area_under_roc_curve 0.666667 [0.777778,0.555556,0.0] area_under_roc_curve 0.675 [0.625,0.666667,0.8] area_under_roc_curve 0.763889 [0.777778,0.625,1] area_under_roc_curve 0.944444 [1,0.888889,0.0] area_under_roc_curve 0.688889 [0.777778,0.5,0.8] area_under_roc_curve 0.722222 [0.777778,0.5,1] area_under_roc_curve 0.508333 [0.666667,0.125,0.8] area_under_roc_curve 0.744444 [0.888889,0.5,0.8] area_under_roc_curve 0.763889 [0.777778,0.625,1] area_under_roc_curve 0.666667 [0.666667,0.5,1] area_under_roc_curve 0.916667 [1,0.75,1] area_under_roc_curve 0.416667 [0.666667,0,0.75] area_under_roc_curve 0.7 [0.833333,0.5,0.0] area_under_roc_curve 0.333333 [0.333333,0.333333,0.0] area_under_roc_curve 0.666667 [0.666667,0.666667,0.0] area_under_roc_curve 0.766667 [0.833333,0.666667,0.0] area_under_roc_curve 0.866667 [1,0.666667,0.0] area_under_roc_curve 0.833333 [0.833333,0.833333,0.0] area_under_roc_curve 0.8 [0.833333,0.666667,1] area_under_roc_curve 0.566667 [1,0.166667,0.5] area_under_roc_curve 0.8 [0.833333,0.666667,1] area_under_roc_curve 0.6 [0.5,0.5,1] area_under_roc_curve 0.666667 [0.666667,0.666667,0.0] area_under_roc_curve 0.866667 [1,0.666667,1] area_under_roc_curve 0.433333 [0.5,0.333333,0.0] area_under_roc_curve 0.666667 [0.666667,0.666667,0.0] area_under_roc_curve 1 [1,1,0.0] area_under_roc_curve 0.866667 [1,0.666667,0.0] area_under_roc_curve 0.883333 [1,0.833333,0.75] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.9 [1,1,0.5] area_under_roc_curve 0.633333 [1,0.333333,0.5] area_under_roc_curve 0.883333 [1,0.833333,0.75] area_under_roc_curve 0.8 [0.833333,0.666667,1] area_under_roc_curve 0.883333 [1,0.833333,0.75] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.8 [0.833333,0.666667,1] area_under_roc_curve 0.6 [0.666667,0.333333,1] area_under_roc_curve 0.55 [0.666667,0.333333,0.75] area_under_roc_curve 0.733333 [0.833333,0.5,1] area_under_roc_curve 0.666667 [0.666667,0.5,1] area_under_roc_curve 0.6 [0.666667,0.333333,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.8 [0.833333,0.666667,1] area_under_roc_curve 0.683333 [0.833333,0.5,0.75] area_under_roc_curve 0.6 [0.5,0.5,1] area_under_roc_curve 0.666667 [0.666667,0.5,1] area_under_roc_curve 0.866667 [1,0.666667,1] area_under_roc_curve 0.866667 [0.833333,0.833333,1] area_under_roc_curve 0.8 [0.833333,0.666667,1] area_under_roc_curve 0.933333 [1,0.833333,1] area_under_roc_curve 0.733333 [0.833333,0.5,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.533333 [0.5,0.333333,1] area_under_roc_curve 0.666667 [0.666667,0.5,1] area_under_roc_curve 0.6 [0.5,0.5,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.8 [0.833333,0.666667,1] area_under_roc_curve 0.933333 [1,0.833333,1] area_under_roc_curve 0.816667 [1,0.666667,0.75] area_under_roc_curve 0.466667 [0.5,0.166667,1] area_under_roc_curve 0.833333 [1,0.833333,0.5] area_under_roc_curve 0.666667 [0.666667,0.5,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.533333 [0.5,0.333333,1] area_under_roc_curve 0.933333 [1,0.833333,1] area_under_roc_curve 0.683333 [0.833333,0.5,0.75] area_under_roc_curve 0.8 [0.833333,0.666667,1] area_under_roc_curve 0.6 [0.666667,0.5,0.0] area_under_roc_curve 0.533333 [0.666667,0.166667,1] area_under_roc_curve 0.9 [1,1,0.5] area_under_roc_curve 0.483333 [0.5,0.333333,0.75] area_under_roc_curve 0.933333 [1,0.833333,1] area_under_roc_curve 0.55 [0.833333,0.166667,0.75] area_under_roc_curve 0.666667 [0.666667,0.5,1] area_under_roc_curve 0.483333 [0.666667,0.166667,0.75] area_under_roc_curve 0.3 [0.5,0.166667,0.0] area_under_roc_curve 0.333333 [0.333333,0,1] area_under_roc_curve 0.833333 [0.833333,0.833333,0.0] area_under_roc_curve 0.616667 [0.666667,0.5,0.75] area_under_roc_curve 0.333333 [0.333333,0,1] area_under_roc_curve 0.8 [0.833333,0.666667,1] area_under_roc_curve 0.666667 [0.666667,0.5,1] area_under_roc_curve 0.933333 [1,0.833333,1] area_under_roc_curve 0.616667 [0.833333,0.333333,0.75] area_under_roc_curve 0.533333 [0.666667,0.333333,0.0] area_under_roc_curve 0.666667 [0.666667,0.666667,0.0] area_under_roc_curve 1 [1,1,0.0] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.833333 [1,0.666667,0.666667] f_measure 0.595238 [0.857143,0.5,0] f_measure 0.833333 [0.8,0.8,1] f_measure 0.6 [0.8,0.666667,0] f_measure 0.666667 [0.8,0.8,0] f_measure 0.81746 [0.666667,0.857143,1] f_measure 0 [0,0,0] f_measure 0.533333 [0.666667,0.4,0] f_measure 0.595238 [0.857143,0.5,0] f_measure 0.533333 [0.666667,0.4,0] f_measure 0.452381 [0.5,0.571429,0] f_measure 0.541667 [0.75,0,1] f_measure 0.75 [1,0.5,0] f_measure 0.677778 [0.8,0.5,0.666667] f_measure 0.375 [0.75,0,0] f_measure 0.428571 [0.857143,0,0] f_measure 0.333333 [0.666667,0,0] f_measure 0.466667 [0.666667,0.4,0] f_measure 0.595238 [0.857143,0.5,0] f_measure 0.833333 [1,0.666667,0.666667] f_measure 0.32 [0.8,0,0] f_measure 0.68 [0.8,0.5,0] f_measure 0.46 [0.5,0.4,0] f_measure 0.6 [0.666667,0.5,0] f_measure 0.6 [0.666667,0.5,0] f_measure 0.866667 [1,0.666667,0] f_measure 0.780952 [0.857143,0.666667,0] f_measure 0.52 [0.8,0.5,0] f_measure 0.5 [1,0,0.5] f_measure 0.6 [0.5,0.5,1] f_measure 0.36 [0.5,0.4,0] f_measure 0.8 [0.8,0.8,0] f_measure 0.52 [0.8,0.5,0] f_measure 0.46 [0.5,0.4,0] f_measure 0.8 [0.8,0.8,0] f_measure 0.45 [0.75,0,0] f_measure 0.866667 [1,0.666667,0] f_measure 0.6 [1,0.5,0] f_measure 0.8 [1,0.666667,0.666667] f_measure 0.586667 [0.8,0.666667,0] f_measure 0.366667 [0.666667,0,0.5] f_measure 0.52 [0.8,0.5,0] f_measure 0.6 [0.5,0.5,1] f_measure 0.72 [1,0.8,0] f_measure 0.72 [1,0.8,0] f_measure 0.786667 [0.8,0.666667,1] f_measure 0.466667 [0.666667,0,1] f_measure 0.36 [0.5,0.4,0] f_measure 0.6 [0.5,0.5,1] f_measure 0.52 [0.8,0.5,0] f_measure 0.266667 [0.666667,0,0] f_measure 1 [1,1,1] f_measure 0.52 [0.8,0.5,0] f_measure 0.453333 [0.8,0,0.666667] f_measure 0.36 [0.5,0.4,0] f_measure 0.36 [0.5,0.4,0] f_measure 0.6 [0.666667,0.5,0.666667] f_measure 0.533333 [0.666667,0.666667,0] f_measure 0.786667 [0.8,0.666667,1] f_measure 0.52 [0.8,0.5,0] f_measure 0.266667 [0.666667,0,0] f_measure 1 [1,1,1] f_measure 0.5 [1,0,0.5] f_measure 0.6 [0.5,0.5,1] f_measure 0.133333 [0,0.333333,0] f_measure 0.36 [0.5,0.4,0] f_measure 1 [1,1,1] f_measure 1 [1,1,1] f_measure 0.72 [1,0.8,0] f_measure 0.786667 [0.8,0.666667,1] f_measure 0.786667 [0.666667,0.8,1] f_measure 0.6 [0.666667,0.5,0.666667] f_measure 0.36 [0.5,0.4,0] f_measure 0.6 [1,0.5,0] f_measure 0.786667 [0.8,0.666667,1] f_measure 0.786667 [0.666667,0.8,1] f_measure 0.36 [0.5,0.4,0] f_measure 0.786667 [0.666667,0.8,1] f_measure 0.533333 [0.666667,0.666667,0] f_measure 0.786667 [0.8,0.666667,1] f_measure 0.4 [0.666667,0,0] f_measure 0.36 [0.5,0.4,0] f_measure 0.72 [0.8,1,0] f_measure 0.333333 [0.5,0,0.666667] f_measure 0.453333 [0.8,0,0.666667] f_measure 0.426667 [0.666667,0.4,0] f_measure 0.333333 [0.5,0,0.666667] f_measure 0.453333 [0.8,0,0.666667] f_measure 0.16 [0.4,0,0] f_measure 0 [0,0,0] f_measure 0.6 [0.666667,0.5,0] f_measure 0.6 [0.666667,0.5,0.666667] f_measure 0.266667 [0.666667,0,0] f_measure 0.786667 [0.8,0.666667,1] f_measure 0.6 [0.5,0.5,1] f_measure 0.72 [1,0.8,0] f_measure 0.36 [0.5,0.4,0] f_measure 0.24 [0.4,0,0] f_measure 0.342857 [0.571429,0,0] f_measure 1 [1,1,0] kappa 0.73913 kappa 0.4 kappa 0.73913 kappa 0.428571 kappa 0.478261 kappa 0.714286 kappa -0.565217 kappa 0.142857 kappa 0.4 kappa 0.142857 kappa 0.1 kappa 0.4 kappa 0.5 kappa 0.5 kappa 0.052632 kappa 0.142857 kappa -0.090909 kappa 0.142857 kappa 0.4 kappa 0.73913 kappa 0.0625 kappa 0.333333 kappa 0.0625 kappa 0.166667 kappa 0.166667 kappa 0.642857 kappa 0.545455 kappa 0.333333 kappa 0.444444 kappa 0.375 kappa 0 kappa 0.615385 kappa 0.333333 kappa 0.0625 kappa 0.615385 kappa 0 kappa 0.642857 kappa 0.375 kappa 0.705882 kappa 0.375 kappa 0.166667 kappa 0.333333 kappa 0.375 kappa 0.666667 kappa 0.666667 kappa 0.6875 kappa 0.375 kappa 0 kappa 0.375 kappa 0.333333 kappa 0 kappa 1 kappa 0.333333 kappa 0.411765 kappa 0 kappa 0 kappa 0.411765 kappa 0.333333 kappa 0.6875 kappa 0.333333 kappa 0 kappa 1 kappa 0.444444 kappa 0.375 kappa -0.333333 kappa 0 kappa 1 kappa 1 kappa 0.666667 kappa 0.6875 kappa 0.6875 kappa 0.411765 kappa 0 kappa 0.375 kappa 0.6875 kappa 0.6875 kappa 0 kappa 0.6875 kappa 0.333333 kappa 0.6875 kappa -0.071429 kappa 0 kappa 0.666667 kappa 0.117647 kappa 0.411765 kappa 0.0625 kappa 0.117647 kappa 0.411765 kappa -0.25 kappa -0.666667 kappa 0.166667 kappa 0.411765 kappa 0 kappa 0.6875 kappa 0.375 kappa 0.666667 kappa 0 kappa -0.333333 kappa -0.363636 kappa 1 kb_relative_information_score 3.505967 kb_relative_information_score 3.099465 kb_relative_information_score 2.947979 kb_relative_information_score 2.30486 kb_relative_information_score 1.769694 kb_relative_information_score 3.873709 kb_relative_information_score -0.729872 kb_relative_information_score 0.847476 kb_relative_information_score 2.256699 kb_relative_information_score 0.729647 kb_relative_information_score 1.242506 kb_relative_information_score 3.145183 kb_relative_information_score 2.271965 kb_relative_information_score 2.427426 kb_relative_information_score 0.901985 kb_relative_information_score 0.656311 kb_relative_information_score 0.586206 kb_relative_information_score 2.448585 kb_relative_information_score 1.919229 kb_relative_information_score 4.210721 kb_relative_information_score 0.379917 kb_relative_information_score 0.828257 kb_relative_information_score 0.186863 kb_relative_information_score 1.206276 kb_relative_information_score 1.388231 kb_relative_information_score 2.009618 kb_relative_information_score 2.575193 kb_relative_information_score 1.923311 kb_relative_information_score 2.05676 kb_relative_information_score 2.145877 kb_relative_information_score 1.754071 kb_relative_information_score 1.521655 kb_relative_information_score 1.667497 kb_relative_information_score 0.241286 kb_relative_information_score 2.172745 kb_relative_information_score 2.363972 kb_relative_information_score 2.726089 kb_relative_information_score 2.545807 kb_relative_information_score 3.502118 kb_relative_information_score 1.800991 kb_relative_information_score 1.14333 kb_relative_information_score 1.459738 kb_relative_information_score 2.794119 kb_relative_information_score 2.647273 kb_relative_information_score 3.98334 kb_relative_information_score 3.358085 kb_relative_information_score 2.256631 kb_relative_information_score 0.26914 kb_relative_information_score 1.937351 kb_relative_information_score 1.537895 kb_relative_information_score 0.605726 kb_relative_information_score 3.839099 kb_relative_information_score 2.734752 kb_relative_information_score 2.169741 kb_relative_information_score 1.244107 kb_relative_information_score 1.558637 kb_relative_information_score 2.067998 kb_relative_information_score 2.799068 kb_relative_information_score 2.82947 kb_relative_information_score 2.882664 kb_relative_information_score 1.723646 kb_relative_information_score 4.245808 kb_relative_information_score 2.457915 kb_relative_information_score 1.536143 kb_relative_information_score 0.399343 kb_relative_information_score 1.58878 kb_relative_information_score 4.170515 kb_relative_information_score 4.137097 kb_relative_information_score 3.498726 kb_relative_information_score 3.077911 kb_relative_information_score 3.097838 kb_relative_information_score 2.151626 kb_relative_information_score 0.578535 kb_relative_information_score 1.536348 kb_relative_information_score 3.554764 kb_relative_information_score 3.877721 kb_relative_information_score 0.979134 kb_relative_information_score 3.289741 kb_relative_information_score 2.179828 kb_relative_information_score 2.891105 kb_relative_information_score 0.673817 kb_relative_information_score 0.654378 kb_relative_information_score 2.131756 kb_relative_information_score 0.408587 kb_relative_information_score 2.393983 kb_relative_information_score -0.155505 kb_relative_information_score 1.285803 kb_relative_information_score 2.088861 kb_relative_information_score -0.519936 kb_relative_information_score -0.442993 kb_relative_information_score 2.110611 kb_relative_information_score 1.678406 kb_relative_information_score -0.146888 kb_relative_information_score 3.035254 kb_relative_information_score 1.283447 kb_relative_information_score 2.868812 kb_relative_information_score 1.332771 kb_relative_information_score -0.265684 kb_relative_information_score 0.701254 kb_relative_information_score 3.165055 mean_absolute_error 0.211392 mean_absolute_error 0.239862 mean_absolute_error 0.257385 mean_absolute_error 0.296309 mean_absolute_error 0.303568 mean_absolute_error 0.189698 mean_absolute_error 0.484606 mean_absolute_error 0.342044 mean_absolute_error 0.261451 mean_absolute_error 0.354027 mean_absolute_error 0.345547 mean_absolute_error 0.234461 mean_absolute_error 0.230708 mean_absolute_error 0.291099 mean_absolute_error 0.358005 mean_absolute_error 0.383733 mean_absolute_error 0.380557 mean_absolute_error 0.285592 mean_absolute_error 0.286241 mean_absolute_error 0.148933 mean_absolute_error 0.407603 mean_absolute_error 0.339149 mean_absolute_error 0.388091 mean_absolute_error 0.296269 mean_absolute_error 0.273508 mean_absolute_error 0.224547 mean_absolute_error 0.163255 mean_absolute_error 0.275734 mean_absolute_error 0.307821 mean_absolute_error 0.301496 mean_absolute_error 0.325418 mean_absolute_error 0.273168 mean_absolute_error 0.28494 mean_absolute_error 0.373587 mean_absolute_error 0.21222 mean_absolute_error 0.166016 mean_absolute_error 0.146411 mean_absolute_error 0.230485 mean_absolute_error 0.169298 mean_absolute_error 0.269986 mean_absolute_error 0.383559 mean_absolute_error 0.30288 mean_absolute_error 0.227162 mean_absolute_error 0.200835 mean_absolute_error 0.127822 mean_absolute_error 0.184681 mean_absolute_error 0.282855 mean_absolute_error 0.421073 mean_absolute_error 0.317543 mean_absolute_error 0.300139 mean_absolute_error 0.382528 mean_absolute_error 0.148344 mean_absolute_error 0.2411 mean_absolute_error 0.291794 mean_absolute_error 0.375345 mean_absolute_error 0.347694 mean_absolute_error 0.30319 mean_absolute_error 0.235723 mean_absolute_error 0.237548 mean_absolute_error 0.215516 mean_absolute_error 0.306629 mean_absolute_error 0.102324 mean_absolute_error 0.257452 mean_absolute_error 0.361984 mean_absolute_error 0.431246 mean_absolute_error 0.342159 mean_absolute_error 0.111327 mean_absolute_error 0.119841 mean_absolute_error 0.16936 mean_absolute_error 0.213075 mean_absolute_error 0.208513 mean_absolute_error 0.290279 mean_absolute_error 0.417188 mean_absolute_error 0.298522 mean_absolute_error 0.162447 mean_absolute_error 0.136445 mean_absolute_error 0.389077 mean_absolute_error 0.192965 mean_absolute_error 0.283859 mean_absolute_error 0.233164 mean_absolute_error 0.334671 mean_absolute_error 0.413522 mean_absolute_error 0.236444 mean_absolute_error 0.458062 mean_absolute_error 0.2661 mean_absolute_error 0.46405 mean_absolute_error 0.368369 mean_absolute_error 0.303858 mean_absolute_error 0.449716 mean_absolute_error 0.500074 mean_absolute_error 0.202121 mean_absolute_error 0.34387 mean_absolute_error 0.463612 mean_absolute_error 0.218171 mean_absolute_error 0.383498 mean_absolute_error 0.209162 mean_absolute_error 0.351519 mean_absolute_error 0.412888 mean_absolute_error 0.327183 mean_absolute_error 0.115556 mean_prior_absolute_error 0.414141 mean_prior_absolute_error 0.414141 mean_prior_absolute_error 0.414141 mean_prior_absolute_error 0.418182 mean_prior_absolute_error 0.418182 mean_prior_absolute_error 0.418182 mean_prior_absolute_error 0.418182 mean_prior_absolute_error 0.387879 mean_prior_absolute_error 0.414141 mean_prior_absolute_error 0.387879 mean_prior_absolute_error 0.418182 mean_prior_absolute_error 0.414141 mean_prior_absolute_error 0.387879 mean_prior_absolute_error 0.414141 mean_prior_absolute_error 0.414141 mean_prior_absolute_error 0.414141 mean_prior_absolute_error 0.414141 mean_prior_absolute_error 0.414141 mean_prior_absolute_error 0.414141 mean_prior_absolute_error 0.414141 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.385455 mean_prior_absolute_error 0.385455 mean_prior_absolute_error 0.385455 mean_prior_absolute_error 0.385455 mean_prior_absolute_error 0.385455 mean_prior_absolute_error 0.385455 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.390303 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.385455 mean_prior_absolute_error 0.385455 mean_prior_absolute_error 0.385455 mean_prior_absolute_error 0.385455 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.385455 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.390303 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.385455 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.385455 mean_prior_absolute_error 0.385455 mean_prior_absolute_error 0.385455 number_of_instances 6 [3,2,1] number_of_instances 6 [3,2,1] number_of_instances 6 [3,2,1] number_of_instances 6 [2,3,1] number_of_instances 6 [2,3,1] number_of_instances 6 [2,3,1] number_of_instances 6 [2,3,1] number_of_instances 6 [3,3,0] number_of_instances 6 [3,2,1] number_of_instances 6 [3,3,0] number_of_instances 6 [2,3,1] number_of_instances 6 [3,2,1] number_of_instances 6 [3,3,0] number_of_instances 6 [3,2,1] number_of_instances 6 [3,2,1] number_of_instances 6 [3,2,1] number_of_instances 6 [3,2,1] number_of_instances 6 [3,2,1] number_of_instances 6 [3,2,1] number_of_instances 6 [3,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [3,2,0] number_of_instances 5 [3,2,0] number_of_instances 5 [3,2,0] number_of_instances 5 [3,2,0] number_of_instances 5 [3,2,0] number_of_instances 5 [3,2,0] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,3,0] number_of_instances 5 [2,2,1] number_of_instances 5 [3,2,0] number_of_instances 5 [3,2,0] number_of_instances 5 [3,2,0] number_of_instances 5 [3,2,0] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [3,2,0] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,3,0] number_of_instances 5 [2,2,1] number_of_instances 5 [3,2,0] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [2,2,1] number_of_instances 5 [3,2,0] number_of_instances 5 [3,2,0] number_of_instances 5 [3,2,0] precision 0.916667 [1,1,0.5] precision 0.541667 [0.75,0.5,0] precision 0.888889 [1,0.666667,1] precision 0.555556 [0.666667,0.666667,0] precision 0.722222 [0.666667,1,0] precision 0.875 [1,0.75,1] precision 0 [0,0,0] precision 0.583333 [0.666667,0.5,0] precision 0.541667 [0.75,0.5,0] precision 0.583333 [0.666667,0.5,0] precision 0.416667 [0.5,0.5,0] precision 0.466667 [0.6,0,1] precision 1 [1,1,0] precision 0.75 [1,0.5,0.5] precision 0.3 [0.6,0,0] precision 0.375 [0.75,0,0] precision 0.333333 [0.666667,0,0] precision 0.444444 [0.666667,0.333333,0] precision 0.541667 [0.75,0.5,0] precision 0.916667 [1,1,0.5] precision 0.266667 [0.666667,0,0] precision 0.8 [1,0.5,0] precision 0.733333 [1,0.333333,0] precision 0.6 [0.666667,0.5,0] precision 0.6 [0.666667,0.5,0] precision 1 [1,1,0] precision 0.85 [0.75,1,0] precision 0.466667 [0.666667,0.5,0] precision 0.466667 [1,0,0.333333] precision 0.6 [0.5,0.5,1] precision 0.333333 [0.5,0.333333,0] precision 0.866667 [0.666667,1,0] precision 0.466667 [0.666667,0.5,0] precision 0.733333 [1,0.333333,0] precision 0.866667 [1,0.666667,0] precision 0.36 [0.6,0,0] precision 1 [1,1,0] precision 0.6 [1,0.5,0] precision 0.9 [1,1,0.5] precision 0.666667 [0.666667,1,0] precision 0.466667 [1,0,0.333333] precision 0.466667 [0.666667,0.5,0] precision 0.6 [0.5,0.5,1] precision 0.666667 [1,0.666667,0] precision 0.666667 [1,0.666667,0] precision 0.866667 [0.666667,1,1] precision 0.4 [0.5,0,1] precision 0.333333 [0.5,0.333333,0] precision 0.6 [0.5,0.5,1] precision 0.466667 [0.666667,0.5,0] precision 0.2 [0.5,0,0] precision 1 [1,1,1] precision 0.466667 [0.666667,0.5,0] precision 0.366667 [0.666667,0,0.5] precision 0.333333 [0.5,0.333333,0] precision 0.333333 [0.5,0.333333,0] precision 0.7 [1,0.5,0.5] precision 0.6 [1,0.5,0] precision 0.866667 [0.666667,1,1] precision 0.466667 [0.666667,0.5,0] precision 0.2 [0.5,0,0] precision 1 [1,1,1] precision 0.466667 [1,0,0.333333] precision 0.6 [0.5,0.5,1] precision 0.1 [0,0.25,0] precision 0.333333 [0.5,0.333333,0] precision 1 [1,1,1] precision 1 [1,1,1] precision 0.666667 [1,0.666667,0] precision 0.866667 [0.666667,1,1] precision 0.866667 [1,0.666667,1] precision 0.7 [1,0.5,0.5] precision 0.333333 [0.5,0.333333,0] precision 0.6 [1,0.5,0] precision 0.866667 [0.666667,1,1] precision 0.866667 [1,0.666667,1] precision 0.333333 [0.5,0.333333,0] precision 0.866667 [1,0.666667,1] precision 0.6 [1,0.5,0] precision 0.866667 [0.666667,1,1] precision 0.4 [0.666667,0,0] precision 0.333333 [0.5,0.333333,0] precision 0.666667 [0.666667,1,0] precision 0.3 [0.5,0,0.5] precision 0.366667 [0.666667,0,0.5] precision 0.533333 [1,0.333333,0] precision 0.3 [0.5,0,0.5] precision 0.366667 [0.666667,0,0.5] precision 0.133333 [0.333333,0,0] precision 0 [0,0,0] precision 0.6 [0.666667,0.5,0] precision 0.7 [1,0.5,0.5] precision 0.2 [0.5,0,0] precision 0.866667 [0.666667,1,1] precision 0.6 [0.5,0.5,1] precision 0.666667 [1,0.666667,0] precision 0.333333 [0.5,0.333333,0] precision 0.3 [0.5,0,0] precision 0.3 [0.5,0,0] precision 1 [1,1,0] predictive_accuracy 0.833333 predictive_accuracy 0.666667 predictive_accuracy 0.833333 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.833333 predictive_accuracy 0 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.333333 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.833333 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.6 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 0.4 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 1 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 1 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.2 predictive_accuracy 0.4 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.4 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.2 predictive_accuracy 0 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.4 predictive_accuracy 0.2 predictive_accuracy 0.4 predictive_accuracy 1 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 recall 0.833333 [1,0.5,1] recall 0.666667 [1,0.5,0] recall 0.833333 [0.666667,1,1] recall 0.666667 [1,0.666667,0] recall 0.666667 [1,0.666667,0] recall 0.833333 [0.5,1,1] recall 0 [0,0,0] recall 0.5 [0.666667,0.333333,0] recall 0.666667 [1,0.5,0] recall 0.5 [0.666667,0.333333,0] recall 0.5 [0.5,0.666667,0] recall 0.666667 [1,0,1] recall 0.666667 [1,0.333333,0] recall 0.666667 [0.666667,0.5,1] recall 0.5 [1,0,0] recall 0.5 [1,0,0] recall 0.333333 [0.666667,0,0] recall 0.5 [0.666667,0.5,0] recall 0.666667 [1,0.5,0] recall 0.833333 [1,0.5,1] recall 0.4 [1,0,0] recall 0.6 [0.666667,0.5,0] recall 0.4 [0.333333,0.5,0] recall 0.6 [0.666667,0.5,0] recall 0.6 [0.666667,0.5,0] recall 0.8 [1,0.5,0] recall 0.8 [1,0.5,0] recall 0.6 [1,0.5,0] recall 0.6 [1,0,1] recall 0.6 [0.5,0.5,1] recall 0.4 [0.5,0.5,0] recall 0.8 [1,0.666667,0] recall 0.6 [1,0.5,0] recall 0.4 [0.333333,0.5,0] recall 0.8 [0.666667,1,0] recall 0.6 [1,0,0] recall 0.8 [1,0.5,0] recall 0.6 [1,0.5,0] recall 0.8 [1,0.5,1] recall 0.6 [1,0.5,0] recall 0.4 [0.5,0,1] recall 0.6 [1,0.5,0] recall 0.6 [0.5,0.5,1] recall 0.8 [1,1,0] recall 0.8 [1,1,0] recall 0.8 [1,0.5,1] recall 0.6 [1,0,1] recall 0.4 [0.5,0.5,0] recall 0.6 [0.5,0.5,1] recall 0.6 [1,0.5,0] recall 0.4 [1,0,0] recall 1 [1,1,1] recall 0.6 [1,0.5,0] recall 0.6 [1,0,1] recall 0.4 [0.5,0.5,0] recall 0.4 [0.5,0.5,0] recall 0.6 [0.5,0.5,1] recall 0.6 [0.5,1,0] recall 0.8 [1,0.5,1] recall 0.6 [1,0.5,0] recall 0.4 [1,0,0] recall 1 [1,1,1] recall 0.6 [1,0,1] recall 0.6 [0.5,0.5,1] recall 0.2 [0,0.5,0] recall 0.4 [0.5,0.5,0] recall 1 [1,1,1] recall 1 [1,1,1] recall 0.8 [1,1,0] recall 0.8 [1,0.5,1] recall 0.8 [0.5,1,1] recall 0.6 [0.5,0.5,1] recall 0.4 [0.5,0.5,0] recall 0.6 [1,0.5,0] recall 0.8 [1,0.5,1] recall 0.8 [0.5,1,1] recall 0.4 [0.5,0.5,0] recall 0.8 [0.5,1,1] recall 0.6 [0.5,1,0] recall 0.8 [1,0.5,1] recall 0.4 [0.666667,0,0] recall 0.4 [0.5,0.5,0] recall 0.8 [1,1,0] recall 0.4 [0.5,0,1] recall 0.6 [1,0,1] recall 0.4 [0.5,0.5,0] recall 0.4 [0.5,0,1] recall 0.6 [1,0,1] recall 0.2 [0.5,0,0] recall 0 [0,0,0] recall 0.6 [0.666667,0.5,0] recall 0.6 [0.5,0.5,1] recall 0.4 [1,0,0] recall 0.8 [1,0.5,1] recall 0.6 [0.5,0.5,1] recall 0.8 [1,1,0] recall 0.4 [0.5,0.5,0] recall 0.2 [0.333333,0,0] recall 0.4 [0.666667,0,0] recall 1 [1,1,0] relative_absolute_error 0.510433 relative_absolute_error 0.579179 relative_absolute_error 0.621491 relative_absolute_error 0.708566 relative_absolute_error 0.725925 relative_absolute_error 0.453626 relative_absolute_error 1.15884 relative_absolute_error 0.881832 relative_absolute_error 0.63131 relative_absolute_error 0.912725 relative_absolute_error 0.826308 relative_absolute_error 0.566137 relative_absolute_error 0.594793 relative_absolute_error 0.702897 relative_absolute_error 0.864451 relative_absolute_error 0.926575 relative_absolute_error 0.918907 relative_absolute_error 0.6896 relative_absolute_error 0.691167 relative_absolute_error 0.359619 relative_absolute_error 0.966301 relative_absolute_error 0.879866 relative_absolute_error 1.00684 relative_absolute_error 0.768624 relative_absolute_error 0.709573 relative_absolute_error 0.582552 relative_absolute_error 0.423539 relative_absolute_error 0.653681 relative_absolute_error 0.729749 relative_absolute_error 0.714752 relative_absolute_error 0.771466 relative_absolute_error 0.699887 relative_absolute_error 0.675504 relative_absolute_error 0.96921 relative_absolute_error 0.55057 relative_absolute_error 0.430702 relative_absolute_error 0.37984 relative_absolute_error 0.546407 relative_absolute_error 0.401352 relative_absolute_error 0.640053 relative_absolute_error 0.9093 relative_absolute_error 0.718034 relative_absolute_error 0.538532 relative_absolute_error 0.476117 relative_absolute_error 0.303025 relative_absolute_error 0.437822 relative_absolute_error 0.670561 relative_absolute_error 0.998235 relative_absolute_error 0.752796 relative_absolute_error 0.711537 relative_absolute_error 0.906854 relative_absolute_error 0.351679 relative_absolute_error 0.571574 relative_absolute_error 0.691754 relative_absolute_error 0.889826 relative_absolute_error 0.824273 relative_absolute_error 0.718769 relative_absolute_error 0.558827 relative_absolute_error 0.563153 relative_absolute_error 0.510922 relative_absolute_error 0.726922 relative_absolute_error 0.242579 relative_absolute_error 0.610338 relative_absolute_error 0.858152 relative_absolute_error 1.022349 relative_absolute_error 0.811152 relative_absolute_error 0.263921 relative_absolute_error 0.284105 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