430613 2 Joaquin Vanschoren 4204 Supervised Classification predictive_accuracy 1196 weka.RotationForest_PrincipalComponents_J48(14) 2062 weka.classifiers.meta.RotationForest -- -G 3 -H 3 -P 50 -F "weka.filters.unsupervised.attribute.PrincipalComponents -R 1.0 -A 5 -M -1" -S 1 -num-slots 1 -I 10 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 C 0.25 1068 M 2 1068 R 1.0 1164 A 5 1164 M -1 1164 G 3 1196 H 3 1196 P 50 1196 F weka.filters.unsupervised.attribute.PrincipalComponents 1196 S 1 1196 num-slots 1 1196 I 10 1196 W weka.classifiers.trees.J48 1196 weka weka_3.7.12 340 squash-stored https://www.openml.org/data/download/52243/phpH2fvsy -1 1504361 description https://api.openml.org/data/download/1504361/weka_generated_run6329878852336970645.xml -1 1504364 model_readable https://api.openml.org/data/download/1504364/WekaModel_weka.classifiers.meta.RotationForest2008923259757830578.model -1 1504363 model_serialized https://api.openml.org/data/download/1504363/WekaSerialized_weka.classifiers.meta.RotationForest2851304468885313947.model -1 1504362 predictions https://api.openml.org/data/download/1504362/weka_generated_predictions224370767544186535.arff area_under_roc_curve 0.823396 [0.863688,0.753303,0.891548] average_cost 0 f_measure 0.691271 [0.775,0.638821,0.588235] kappa 0.500996 kb_relative_information_score 213.408768 mean_absolute_error 0.275054 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 0.690411 [0.744,0.659898,0.616438] predictive_accuracy 0.694231 prior_entropy 1.478161 recall 0.694231 [0.808696,0.619048,0.5625] relative_absolute_error 0.665153 root_mean_prior_squared_error 0.45378 root_mean_squared_error 0.376887 root_relative_squared_error 0.83055 scimark_benchmark 941.954922 [559.2307353210181, 1014.1868590421574, 482.14720472367435, 907.7008274280431, 1746.5089819330503] total_cost 0 usercpu_time_millis 50 usercpu_time_millis_testing 10 usercpu_time_millis_training 40 area_under_roc_curve 0.958333 [1,0.875,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.783333 [1,0.75,0.2] area_under_roc_curve 0.958333 [0.875,1,1] area_under_roc_curve 0.586111 [0.625,0.555556,0.6] area_under_roc_curve 0.833333 [1,0.666667,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,0.0] area_under_roc_curve 0.958333 [1,0.875,1] area_under_roc_curve 1 [1,1,0.0] area_under_roc_curve 0.619444 [0.625,0.555556,0.8] area_under_roc_curve 0.375 [0.333333,0.125,1] area_under_roc_curve 0.777778 [1,0.555556,0.0] area_under_roc_curve 0.772222 [0.777778,0.75,0.8] area_under_roc_curve 0.916667 [1,0.75,1] area_under_roc_curve 0.958333 [1,0.875,1] area_under_roc_curve 0.925 [1,0.875,0.8] area_under_roc_curve 0.661111 [0.555556,0.75,0.8] area_under_roc_curve 0.797222 [0.777778,0.875,0.7] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.933333 [1,0.833333,1] 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 0.6 [0.666667,0.5,0.0] area_under_roc_curve 0.333333 [0.333333,0.333333,0.0] area_under_roc_curve 0.766667 [0.833333,0.666667,0.0] 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 0.933333 [1,0.833333,1] area_under_roc_curve 0.933333 [0.833333,1,1] area_under_roc_curve 0.466667 [0.5,0.666667,0] area_under_roc_curve 1 [1,1,0.0] area_under_roc_curve 0.466667 [0.5,0.166667,1] area_under_roc_curve 0.666667 [0.666667,0.666667,0.0] area_under_roc_curve 0.866667 [1,0.666667,0.0] area_under_roc_curve 1 [1,1,0.0] area_under_roc_curve 1 [1,1,0.0] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.816667 [1,0.666667,0.75] area_under_roc_curve 0.683333 [1,0.333333,0.75] area_under_roc_curve 0.883333 [1,0.833333,0.75] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.883333 [1,0.833333,0.75] area_under_roc_curve 0.666667 [0.666667,0.5,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.733333 [0.666667,0.666667,1] 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 [0.833333,1,1] area_under_roc_curve 0.666667 [0.666667,0.5,1] area_under_roc_curve 0.683333 [0.666667,0.666667,0.75] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.5 [0.5,0.5,0.5] area_under_roc_curve 0.6 [0.5,0.5,1] area_under_roc_curve 0.683333 [1,0.333333,0.75] area_under_roc_curve 0.733333 [0.5,0.833333,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.933333 [1,0.833333,1] area_under_roc_curve 0.733333 [0.75,0.583333,1] area_under_roc_curve 0.816667 [1,0.666667,0.75] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.483333 [0.666667,0.166667,0.75] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.566667 [0.833333,0.333333,0.5] area_under_roc_curve 0.816667 [1,0.666667,0.75] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.816667 [1,0.666667,0.75] area_under_roc_curve 0.883333 [1,0.833333,0.75] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.766667 [1,0.666667,0.5] area_under_roc_curve 0.833333 [0.75,0.833333,1] area_under_roc_curve 0.766667 [1,0.666667,0.5] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.95 [1,1,0.75] area_under_roc_curve 0.866667 [0.666667,1,1] area_under_roc_curve 0.75 [1,0.5,0.75] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.666667 [0.666667,0.5,1] area_under_roc_curve 0.933333 [1,0.833333,0.0] area_under_roc_curve 0.8 [0.666667,0.833333,1] area_under_roc_curve 0.833333 [1,0.833333,0.5] area_under_roc_curve 0.616667 [0.833333,0.333333,0.75] area_under_roc_curve 0.866667 [0.833333,0.833333,1] area_under_roc_curve 0.95 [1,1,0.75] area_under_roc_curve 0.45 [0.416667,0.333333,0.75] area_under_roc_curve 0.933333 [1,0.833333,1] area_under_roc_curve 0.533333 [0.583333,0.5,0.0] area_under_roc_curve 0.6 [0.5,0.5,1] area_under_roc_curve 1 [1,1,0.0] area_under_roc_curve 0.866667 [0.833333,0.833333,1] area_under_roc_curve 0.466667 [0.5,0.166667,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.733333 [0.666667,0.666667,1] area_under_roc_curve 0.666667 [0.666667,0.5,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.866667 [1,0.666667,0.0] area_under_roc_curve 0.733333 [0.666667,0.833333,0.0] 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 0.81746 [0.857143,0.666667,1] f_measure 1 [1,1,1] f_measure 0.766667 [1,0.8,0] f_measure 0.833333 [0.8,0.8,1] f_measure 0.333333 [0.4,0.4,0] f_measure 0.844444 [1,0.8,0.666667] f_measure 0.622222 [0.666667,0.8,0] f_measure 1 [1,1,0] f_measure 0.81746 [0.857143,0.666667,1] f_measure 1 [1,1,0] f_measure 0.333333 [0.5,0.333333,0] f_measure 0.541667 [0.75,0,1] f_measure 0.733333 [0.8,0.666667,0] f_measure 0.5 [0.666667,0.5,0] f_measure 0.595238 [0.857143,0.5,0] f_measure 0.766667 [1,0.8,0] f_measure 0.833333 [1,0.666667,0.666667] f_measure 0.333333 [0.4,0.4,0] f_measure 0.285714 [0.571429,0,0] f_measure 0.766667 [1,0.8,0] f_measure 0.8 [1,0.666667,0.666667] f_measure 0.514286 [0.857143,0,0] f_measure 0.46 [0.5,0.4,0] f_measure 0.514286 [0.857143,0,0] f_measure 0.342857 [0.571429,0,0] f_measure 0.514286 [0.857143,0,0] f_measure 0.780952 [0.857143,0.666667,0] f_measure 0.6 [0.5,0.5,1] f_measure 1 [1,1,1] f_measure 0.786667 [0.8,0.666667,1] f_measure 0.533333 [0.666667,0.666667,0] f_measure 0.8 [0.8,0.8,0] f_measure 0.466667 [0.666667,0,1] f_measure 0.6 [0.666667,0.5,0] f_measure 0.68 [0.8,0.5,0] f_measure 0.780952 [0.857143,0.666667,0] f_measure 0.780952 [0.857143,0.666667,0] f_measure 1 [1,1,1] f_measure 0.786667 [0.666667,0.8,1] f_measure 0.533333 [0.666667,0.666667,0] f_measure 0.266667 [0.666667,0,0] f_measure 0.586667 [0.8,0.666667,0] 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 [0.8,0.666667,1] f_measure 0.533333 [0.666667,0.666667,0] f_measure 1 [1,1,1] f_measure 0.6 [0.5,0.5,1] f_measure 0.786667 [0.8,0.666667,1] f_measure 0.52 [0.8,0.5,0] f_measure 0.36 [0.5,0.4,0] f_measure 0.8 [1,0.666667,0.666667] f_measure 0.36 [0.5,0.4,0] f_measure 0.36 [0.4,0.5,0] f_measure 0.366667 [0.666667,0,0.5] f_measure 0.533333 [0.666667,0.666667,0] 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 0.533333 [0.666667,0.666667,0] f_measure 1 [1,1,1] f_measure 0.333333 [0.5,0,0.666667] f_measure 0.786667 [0.666667,0.8,1] f_measure 0.426667 [0.666667,0.4,0] f_measure 0.6 [1,0.5,0] f_measure 0.786667 [0.8,0.666667,1] f_measure 0.52 [0.8,0.5,0] f_measure 0.72 [1,0.8,0] f_measure 0.786667 [0.666667,0.8,1] f_measure 0.72 [1,0.8,0] f_measure 0.786667 [0.666667,0.8,1] f_measure 0.52 [0.5,0.8,0] f_measure 1 [1,1,1] f_measure 0.72 [1,0.8,0] f_measure 0.786667 [0.666667,0.8,1] f_measure 0.426667 [0.666667,0.4,0] f_measure 0.786667 [0.666667,0.8,1] f_measure 0.453333 [0.8,0,0.666667] f_measure 0.780952 [0.857143,0.666667,0] f_measure 0.6 [0.5,0.5,1] f_measure 0.533333 [0.666667,0.666667,0] f_measure 0.533333 [0.666667,0.666667,0] f_measure 0.786667 [0.8,0.666667,1] f_measure 0.72 [0.8,1,0] f_measure 0.36 [0.5,0.4,0] f_measure 0.786667 [0.8,0.666667,1] f_measure 0.2 [0.5,0,0] f_measure 0.6 [0.5,0.5,1] f_measure 1 [1,1,0] f_measure 0.6 [0.5,0.5,1] f_measure 0.466667 [0.666667,0,1] f_measure 0.786667 [0.8,0.666667,1] f_measure 0.6 [0.5,0.5,1] f_measure 0.786667 [0.8,0.666667,1] f_measure 0.786667 [0.666667,0.8,1] f_measure 0.566667 [0.5,0.666667,0] f_measure 0.666667 [0.666667,0.666667,0] f_measure 1 [1,1,0] kappa 0.714286 kappa 1 kappa 0.714286 kappa 0.73913 kappa -0.043478 kappa 0.75 kappa 0.454545 kappa 1 kappa 0.714286 kappa 1 kappa -0.090909 kappa 0.4 kappa 0.428571 kappa 0.181818 kappa 0.4 kappa 0.714286 kappa 0.73913 kappa -0.043478 kappa -0.142857 kappa 0.714286 kappa 0.705882 kappa 0.230769 kappa 0.0625 kappa 0.230769 kappa -0.363636 kappa 0.230769 kappa 0.545455 kappa 0.375 kappa 1 kappa 0.6875 kappa 0.333333 kappa 0.615385 kappa 0.375 kappa 0.166667 kappa 0.333333 kappa 0.545455 kappa 0.545455 kappa 1 kappa 0.6875 kappa 0.333333 kappa -0.176471 kappa 0.375 kappa 1 kappa 1 kappa 0.666667 kappa 0.6875 kappa 0.6875 kappa 0.333333 kappa 1 kappa 0.375 kappa 0.6875 kappa 0.333333 kappa 0 kappa 0.705882 kappa 0 kappa 0 kappa 0.166667 kappa 0.333333 kappa 1 kappa 0.666667 kappa 0.6875 kappa 0.333333 kappa 1 kappa 0.117647 kappa 0.6875 kappa 0.0625 kappa 0.375 kappa 0.6875 kappa 0.333333 kappa 0.666667 kappa 0.6875 kappa 0.666667 kappa 0.6875 kappa 0.333333 kappa 1 kappa 0.666667 kappa 0.6875 kappa 0.0625 kappa 0.6875 kappa 0.411765 kappa 0.545455 kappa 0.375 kappa 0.333333 kappa 0.333333 kappa 0.6875 kappa 0.666667 kappa 0 kappa 0.6875 kappa -0.111111 kappa 0.375 kappa 1 kappa 0.375 kappa 0.375 kappa 0.6875 kappa 0.375 kappa 0.6875 kappa 0.6875 kappa 0.285714 kappa 0.285714 kappa 1 kb_relative_information_score 3.805998 kb_relative_information_score 3.503648 kb_relative_information_score 1.965689 kb_relative_information_score 4.258904 kb_relative_information_score 0.782304 kb_relative_information_score 3.064889 kb_relative_information_score 2.538268 kb_relative_information_score 2.252826 kb_relative_information_score 3.874356 kb_relative_information_score 2.867513 kb_relative_information_score 1.15566 kb_relative_information_score 1.892253 kb_relative_information_score 1.48922 kb_relative_information_score 1.633262 kb_relative_information_score 2.538871 kb_relative_information_score 2.744243 kb_relative_information_score 2.699939 kb_relative_information_score 1.613741 kb_relative_information_score 1.227955 kb_relative_information_score 3.746526 kb_relative_information_score 2.627851 kb_relative_information_score 1.177304 kb_relative_information_score 0.586237 kb_relative_information_score 0.931454 kb_relative_information_score 0.752141 kb_relative_information_score 1.047419 kb_relative_information_score 1.715665 kb_relative_information_score 2.786445 kb_relative_information_score 2.911257 kb_relative_information_score 3.15291 kb_relative_information_score 0.998115 kb_relative_information_score 2.838331 kb_relative_information_score 1.541013 kb_relative_information_score 1.178661 kb_relative_information_score 1.417875 kb_relative_information_score 2.215511 kb_relative_information_score 1.82907 kb_relative_information_score 3.751865 kb_relative_information_score 2.712167 kb_relative_information_score 1.590382 kb_relative_information_score 1.086932 kb_relative_information_score 0.786719 kb_relative_information_score 4.338296 kb_relative_information_score 3.244463 kb_relative_information_score 1.993808 kb_relative_information_score 3.25546 kb_relative_information_score 3.316251 kb_relative_information_score 1.342692 kb_relative_information_score 3.01439 kb_relative_information_score 2.704436 kb_relative_information_score 2.729151 kb_relative_information_score 1.772969 kb_relative_information_score 0.963285 kb_relative_information_score 3.699418 kb_relative_information_score 0.636745 kb_relative_information_score 0.962732 kb_relative_information_score 1.405979 kb_relative_information_score 2.470631 kb_relative_information_score 2.967567 kb_relative_information_score 1.959589 kb_relative_information_score 2.168562 kb_relative_information_score 2.462963 kb_relative_information_score 3.358837 kb_relative_information_score 1.397412 kb_relative_information_score 2.833665 kb_relative_information_score 0.280974 kb_relative_information_score 2.48856 kb_relative_information_score 2.519306 kb_relative_information_score 1.274805 kb_relative_information_score 1.766985 kb_relative_information_score 2.8205 kb_relative_information_score 2.02083 kb_relative_information_score 2.681176 kb_relative_information_score 1.077009 kb_relative_information_score 3.465723 kb_relative_information_score 2.772638 kb_relative_information_score 2.208066 kb_relative_information_score 1.439855 kb_relative_information_score 3.376469 kb_relative_information_score 1.685884 kb_relative_information_score 2.178161 kb_relative_information_score 2.400524 kb_relative_information_score 1.997925 kb_relative_information_score 0.67045 kb_relative_information_score 3.080776 kb_relative_information_score 1.983402 kb_relative_information_score 0.349038 kb_relative_information_score 2.566519 kb_relative_information_score -0.221928 kb_relative_information_score 1.68302 kb_relative_information_score 2.187531 kb_relative_information_score 1.7008 kb_relative_information_score 1.407154 kb_relative_information_score 3.048092 kb_relative_information_score 1.59738 kb_relative_information_score 2.548736 kb_relative_information_score 3.279479 kb_relative_information_score 1.181518 kb_relative_information_score 1.280353 kb_relative_information_score 2.320367 mean_absolute_error 0.183241 mean_absolute_error 0.218598 mean_absolute_error 0.295093 mean_absolute_error 0.152698 mean_absolute_error 0.371823 mean_absolute_error 0.259167 mean_absolute_error 0.2584 mean_absolute_error 0.241927 mean_absolute_error 0.18164 mean_absolute_error 0.201906 mean_absolute_error 0.350128 mean_absolute_error 0.340176 mean_absolute_error 0.29646 mean_absolute_error 0.32235 mean_absolute_error 0.278473 mean_absolute_error 0.273603 mean_absolute_error 0.272844 mean_absolute_error 0.346149 mean_absolute_error 0.336464 mean_absolute_error 0.198297 mean_absolute_error 0.261185 mean_absolute_error 0.294867 mean_absolute_error 0.341964 mean_absolute_error 0.318137 mean_absolute_error 0.327884 mean_absolute_error 0.300634 mean_absolute_error 0.244403 mean_absolute_error 0.230589 mean_absolute_error 0.222359 mean_absolute_error 0.191361 mean_absolute_error 0.364807 mean_absolute_error 0.157777 mean_absolute_error 0.353407 mean_absolute_error 0.29312 mean_absolute_error 0.27055 mean_absolute_error 0.196797 mean_absolute_error 0.238927 mean_absolute_error 0.147684 mean_absolute_error 0.250854 mean_absolute_error 0.303931 mean_absolute_error 0.380906 mean_absolute_error 0.37187 mean_absolute_error 0.099672 mean_absolute_error 0.213736 mean_absolute_error 0.269819 mean_absolute_error 0.197659 mean_absolute_error 0.187317 mean_absolute_error 0.311574 mean_absolute_error 0.230118 mean_absolute_error 0.245042 mean_absolute_error 0.247927 mean_absolute_error 0.330363 mean_absolute_error 0.346081 mean_absolute_error 0.14879 mean_absolute_error 0.426455 mean_absolute_error 0.383173 mean_absolute_error 0.355741 mean_absolute_error 0.267174 mean_absolute_error 0.223254 mean_absolute_error 0.27472 mean_absolute_error 0.296828 mean_absolute_error 0.252454 mean_absolute_error 0.19391 mean_absolute_error 0.35866 mean_absolute_error 0.243807 mean_absolute_error 0.409823 mean_absolute_error 0.257868 mean_absolute_error 0.2666 mean_absolute_error 0.3335 mean_absolute_error 0.296532 mean_absolute_error 0.239232 mean_absolute_error 0.254844 mean_absolute_error 0.254839 mean_absolute_error 0.343559 mean_absolute_error 0.192829 mean_absolute_error 0.19111 mean_absolute_error 0.295273 mean_absolute_error 0.317505 mean_absolute_error 0.185959 mean_absolute_error 0.345729 mean_absolute_error 0.208927 mean_absolute_error 0.271445 mean_absolute_error 0.255564 mean_absolute_error 0.382486 mean_absolute_error 0.213108 mean_absolute_error 0.27073 mean_absolute_error 0.423373 mean_absolute_error 0.260123 mean_absolute_error 0.417157 mean_absolute_error 0.343878 mean_absolute_error 0.216243 mean_absolute_error 0.345147 mean_absolute_error 0.365543 mean_absolute_error 0.213035 mean_absolute_error 0.34863 mean_absolute_error 0.269013 mean_absolute_error 0.199271 mean_absolute_error 0.304377 mean_absolute_error 0.290096 mean_absolute_error 0.198637 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 0.875 [0.75,1,1] precision 1 [1,1,1] precision 0.722222 [1,0.666667,0] precision 0.888889 [0.666667,1,1] precision 0.361111 [0.333333,0.5,0] precision 0.916667 [1,1,0.5] precision 0.666667 [0.5,1,0] precision 1 [1,1,0] precision 0.875 [0.75,1,1] precision 1 [1,1,0] precision 0.333333 [0.5,0.333333,0] precision 0.466667 [0.6,0,1] precision 0.833333 [1,0.666667,0] precision 0.5 [0.666667,0.5,0] precision 0.541667 [0.75,0.5,0] precision 0.722222 [1,0.666667,0] precision 0.916667 [1,1,0.5] precision 0.361111 [0.5,0.333333,0] precision 0.25 [0.5,0,0] precision 0.722222 [1,0.666667,0] precision 0.9 [1,1,0.5] precision 0.45 [0.75,0,0] precision 0.733333 [1,0.333333,0] precision 0.45 [0.75,0,0] precision 0.3 [0.5,0,0] precision 0.45 [0.75,0,0] precision 0.85 [0.75,1,0] precision 0.6 [0.5,0.5,1] precision 1 [1,1,1] precision 0.866667 [0.666667,1,1] precision 0.6 [1,0.5,0] precision 0.866667 [0.666667,1,0] precision 0.4 [0.5,0,1] precision 0.6 [0.666667,0.5,0] precision 0.8 [1,0.5,0] precision 0.85 [0.75,1,0] precision 0.85 [0.75,1,0] precision 1 [1,1,1] precision 0.866667 [1,0.666667,1] precision 0.6 [1,0.5,0] precision 0.4 [1,0,0] precision 0.666667 [0.666667,1,0] 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 [0.666667,1,1] precision 0.6 [0.5,1,0] precision 1 [1,1,1] precision 0.6 [0.5,0.5,1] precision 0.866667 [0.666667,1,1] precision 0.466667 [0.666667,0.5,0] precision 0.333333 [0.5,0.333333,0] precision 0.9 [1,1,0.5] precision 0.333333 [0.5,0.333333,0] precision 0.333333 [0.333333,0.5,0] precision 0.466667 [1,0,0.333333] precision 0.6 [1,0.5,0] precision 1 [1,1,1] precision 0.666667 [1,0.666667,0] precision 0.866667 [0.666667,1,1] precision 0.6 [1,0.5,0] precision 1 [1,1,1] precision 0.3 [0.5,0,0.5] precision 0.866667 [1,0.666667,1] precision 0.533333 [1,0.333333,0] precision 0.6 [1,0.5,0] precision 0.866667 [0.666667,1,1] precision 0.466667 [0.666667,0.5,0] precision 0.666667 [1,0.666667,0] precision 0.866667 [1,0.666667,1] precision 0.666667 [1,0.666667,0] precision 0.866667 [1,0.666667,1] precision 0.466667 [0.5,0.666667,0] precision 1 [1,1,1] precision 0.666667 [1,0.666667,0] precision 0.866667 [1,0.666667,1] precision 0.533333 [1,0.333333,0] precision 0.866667 [1,0.666667,1] precision 0.366667 [0.666667,0,0.5] precision 0.85 [0.75,1,0] precision 0.6 [0.5,0.5,1] precision 0.6 [0.5,1,0] precision 0.6 [1,0.5,0] precision 0.866667 [0.666667,1,1] precision 0.666667 [0.666667,1,0] precision 0.333333 [0.5,0.333333,0] precision 0.866667 [0.666667,1,1] precision 0.2 [0.5,0,0] precision 0.6 [0.5,0.5,1] precision 1 [1,1,0] precision 0.6 [0.5,0.5,1] precision 0.4 [0.5,0,1] precision 0.866667 [0.666667,1,1] precision 0.6 [0.5,0.5,1] precision 0.866667 [0.666667,1,1] precision 0.866667 [1,0.666667,1] precision 0.8 [1,0.5,0] precision 0.8 [0.666667,1,0] precision 1 [1,1,0] predictive_accuracy 0.833333 predictive_accuracy 1 predictive_accuracy 0.833333 predictive_accuracy 0.833333 predictive_accuracy 0.333333 predictive_accuracy 0.833333 predictive_accuracy 0.666667 predictive_accuracy 1 predictive_accuracy 0.833333 predictive_accuracy 1 predictive_accuracy 0.333333 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.833333 predictive_accuracy 0.833333 predictive_accuracy 0.333333 predictive_accuracy 0.333333 predictive_accuracy 0.833333 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 1 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 1 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.2 predictive_accuracy 0.6 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 1 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.4 predictive_accuracy 0.4 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 1 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 1 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 1 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 0.6 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.2 predictive_accuracy 0.6 predictive_accuracy 1 predictive_accuracy 0.6 predictive_accuracy 0.6 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 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 1 [1,1,1] recall 0.833333 [1,1,0] recall 0.833333 [1,0.666667,1] recall 0.333333 [0.5,0.333333,0] recall 0.833333 [1,0.666667,1] recall 0.666667 [1,0.666667,0] recall 1 [1,1,0] recall 0.833333 [1,0.5,1] recall 1 [1,1,0] recall 0.333333 [0.5,0.333333,0] recall 0.666667 [1,0,1] recall 0.666667 [0.666667,0.666667,0] recall 0.5 [0.666667,0.5,0] recall 0.666667 [1,0.5,0] recall 0.833333 [1,1,0] recall 0.833333 [1,0.5,1] recall 0.333333 [0.333333,0.5,0] recall 0.333333 [0.666667,0,0] recall 0.833333 [1,1,0] recall 0.8 [1,0.5,1] recall 0.6 [1,0,0] recall 0.4 [0.333333,0.5,0] recall 0.6 [1,0,0] recall 0.4 [0.666667,0,0] recall 0.6 [1,0,0] recall 0.8 [1,0.5,0] recall 0.6 [0.5,0.5,1] recall 1 [1,1,1] recall 0.8 [1,0.5,1] recall 0.6 [0.5,1,0] recall 0.8 [1,0.666667,0] recall 0.6 [1,0,1] 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 1 [1,1,1] recall 0.8 [0.5,1,1] recall 0.6 [0.5,1,0] recall 0.2 [0.5,0,0] recall 0.6 [1,0.5,0] 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 [1,0.5,1] recall 0.6 [1,0.5,0] recall 1 [1,1,1] recall 0.6 [0.5,0.5,1] recall 0.8 [1,0.5,1] recall 0.6 [1,0.5,0] recall 0.4 [0.5,0.5,0] recall 0.8 [1,0.5,1] recall 0.4 [0.5,0.5,0] recall 0.4 [0.5,0.5,0] recall 0.4 [0.5,0,1] recall 0.6 [0.5,1,0] recall 1 [1,1,1] recall 0.8 [1,1,0] recall 0.8 [1,0.5,1] recall 0.6 [0.5,1,0] recall 1 [1,1,1] recall 0.4 [0.5,0,1] recall 0.8 [0.5,1,1] recall 0.4 [0.5,0.5,0] recall 0.6 [1,0.5,0] recall 0.8 [1,0.5,1] recall 0.6 [1,0.5,0] recall 0.8 [1,1,0] recall 0.8 [0.5,1,1] recall 0.8 [1,1,0] recall 0.8 [0.5,1,1] recall 0.6 [0.5,1,0] recall 1 [1,1,1] recall 0.8 [1,1,0] 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 [1,0,1] recall 0.8 [1,0.5,0] recall 0.6 [0.5,0.5,1] recall 0.6 [1,0.5,0] recall 0.6 [0.5,1,0] recall 0.8 [1,0.5,1] recall 0.8 [1,1,0] recall 0.4 [0.5,0.5,0] recall 0.8 [1,0.5,1] recall 0.2 [0.5,0,0] recall 0.6 [0.5,0.5,1] recall 1 [1,1,0] recall 0.6 [0.5,0.5,1] recall 0.6 [1,0,1] recall 0.8 [1,0.5,1] recall 0.6 [0.5,0.5,1] recall 0.8 [1,0.5,1] recall 0.8 [0.5,1,1] recall 0.6 [0.333333,1,0] recall 0.6 [0.666667,0.5,0] recall 1 [1,1,0] relative_absolute_error 0.442459 relative_absolute_error 0.527834 relative_absolute_error 0.712542 relative_absolute_error 0.365147 relative_absolute_error 0.889142 relative_absolute_error 0.619747 relative_absolute_error 0.617914 relative_absolute_error 0.623717 relative_absolute_error 0.438595 relative_absolute_error 0.520538 relative_absolute_error 0.837263 relative_absolute_error 0.821402 relative_absolute_error 0.764311 relative_absolute_error 0.778357 relative_absolute_error 0.672411 relative_absolute_error 0.660651 relative_absolute_error 0.658818 relative_absolute_error 0.835822 relative_absolute_error 0.812437 relative_absolute_error 0.478814 relative_absolute_error 0.619189 relative_absolute_error 0.764985 relative_absolute_error 0.887172 relative_absolute_error 0.825357 relative_absolute_error 0.850641 relative_absolute_error 0.779947 relative_absolute_error 0.634065 relative_absolute_error 0.546656 relative_absolute_error 0.527144 relative_absolute_error 0.453657 relative_absolute_error 0.864843 relative_absolute_error 0.404243 relative_absolute_error 0.837819 relative_absolute_error 0.760453 relative_absolute_error 0.701898 relative_absolute_error 0.510559 relative_absolute_error 0.619857 relative_absolute_error 0.350113 relative_absolute_error 0.594697 relative_absolute_error 0.720527 relative_absolute_error 0.90301 relative_absolute_error 0.881589 relative_absolute_error 0.236292 relative_absolute_error 0.506701 relative_absolute_error 0.639657 relative_absolute_error 0.468588 relative_absolute_error 0.444071 relative_absolute_error 0.738646 relative_absolute_error 0.545538 relative_absolute_error 0.580919 relative_absolute_error 0.587757 relative_absolute_error 0.783187 relative_absolute_error 0.820451 relative_absolute_error 0.352736 relative_absolute_error 1.010993 relative_absolute_error 0.908385 relative_absolute_error 0.843351 relative_absolute_error 0.633387 relative_absolute_error 0.529265 relative_absolute_error 0.651276 relative_absolute_error 0.703688 relative_absolute_error 0.598491 relative_absolute_error 0.4597 relative_absolute_error 0.850272 relative_absolute_error 0.577991 relative_absolute_error 0.971562 relative_absolute_error 0.611325 relative_absolute_error 0.632027 relative_absolute_error 0.790625 relative_absolute_error 0.702985 relative_absolute_error 0.567144 relative_absolute_error 0.604156 relative_absolute_error 0.604144 relative_absolute_error 0.814471 relative_absolute_error 0.457138 relative_absolute_error 0.453062 relative_absolute_error 0.7 relative_absolute_error 0.752706 relative_absolute_error 0.440851 relative_absolute_error 0.819616 relative_absolute_error 0.542028 relative_absolute_error 0.643511 relative_absolute_error 0.605862 relative_absolute_error 0.906755 relative_absolute_error 0.505213 relative_absolute_error 0.641817 relative_absolute_error 1.003686 relative_absolute_error 0.616672 relative_absolute_error 1.068803 relative_absolute_error 0.815228 relative_absolute_error 0.561008 relative_absolute_error 0.818236 relative_absolute_error 0.866588 relative_absolute_error 0.505041 relative_absolute_error 0.826493 relative_absolute_error 0.637747 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