433467 2 Joaquin Vanschoren 4204 Supervised Classification predictive_accuracy 1196 weka.RotationForest_PrincipalComponents_J48(14) 2064 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 40 -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 40 1196 W weka.classifiers.trees.J48 1196 weka weka_3.7.12 340 squash-stored https://www.openml.org/data/download/52243/phpH2fvsy -1 1515011 description https://api.openml.org/data/download/1515011/weka_generated_run4568187151693609049.xml -1 1515014 model_readable https://api.openml.org/data/download/1515014/WekaModel_weka.classifiers.meta.RotationForest196384224583897210.model -1 1515013 model_serialized https://api.openml.org/data/download/1515013/WekaSerialized_weka.classifiers.meta.RotationForest2793850397023019631.model -1 1515012 predictions https://api.openml.org/data/download/1515012/weka_generated_predictions3192116549376734694.arff area_under_roc_curve 0.850437 [0.883748,0.788233,0.917955] average_cost 0 f_measure 0.695401 [0.784394,0.642157,0.57931] kappa 0.506899 kb_relative_information_score 215.433739 mean_absolute_error 0.275672 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 0.695318 [0.743191,0.661616,0.646154] predictive_accuracy 0.7 prior_entropy 1.478161 recall 0.7 [0.830435,0.62381,0.525] relative_absolute_error 0.666648 root_mean_prior_squared_error 0.45378 root_mean_squared_error 0.363302 root_relative_squared_error 0.800613 scimark_benchmark 945.59678 [563.567288607794, 1010.9942233373424, 481.28276544297296, 912.1225300476696, 1760.0170946291457] total_cost 0 usercpu_time_millis 210 usercpu_time_millis_testing 50 usercpu_time_millis_training 160 area_under_roc_curve 0.958333 [1,0.875,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.85 [1,0.75,0.6] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.966667 [1,1,0.8] area_under_roc_curve 0.833333 [1,0.666667,1] area_under_roc_curve 0.641667 [0.625,0.666667,0.6] area_under_roc_curve 0.777778 [0.888889,0.666667,0.0] area_under_roc_curve 0.666667 [0.666667,0.5,1] area_under_roc_curve 0.888889 [0.888889,0.888889,0.0] area_under_roc_curve 0.772222 [0.75,0.777778,0.8] area_under_roc_curve 0.666667 [0.666667,0.5,1] area_under_roc_curve 0.888889 [1,0.777778,0.0] area_under_roc_curve 0.75 [0.666667,0.75,1] area_under_roc_curve 0.958333 [1,0.875,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.819444 [0.888889,0.625,1] area_under_roc_curve 0.652778 [0.555556,0.625,1] area_under_roc_curve 0.966667 [1,1,0.8] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.933333 [1,0.833333,0.0] area_under_roc_curve 0.866667 [1,0.666667,0.0] area_under_roc_curve 0.533333 [0.666667,0.333333,0.0] 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 0.666667 [0.666667,0.666667,0.0] area_under_roc_curve 1 [1,1,1] 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 0.583333 [0.666667,0.666667,0.25] area_under_roc_curve 1 [1,1,0.0] area_under_roc_curve 0.6 [0.666667,0.333333,1] area_under_roc_curve 0.833333 [0.833333,0.833333,0.0] 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 0.866667 [0.833333,0.833333,1] area_under_roc_curve 0.866667 [1,0.666667,1] area_under_roc_curve 0.883333 [0.833333,1,0.75] 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 0.616667 [0.5,0.666667,0.75] area_under_roc_curve 0.8 [0.833333,0.666667,1] area_under_roc_curve 0.8 [0.833333,0.666667,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.933333 [1,0.833333,1] area_under_roc_curve 0.866667 [1,0.666667,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.35 [0.333333,0.166667,0.75] area_under_roc_curve 0.616667 [0.833333,0.333333,0.75] area_under_roc_curve 0.733333 [1,0.333333,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.933333 [1,0.833333,1] area_under_roc_curve 0.666667 [0.666667,0.5,1] area_under_roc_curve 0.883333 [1,0.833333,0.75] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.616667 [0.833333,0.333333,0.75] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.516667 [0.5,0.666667,0.25] area_under_roc_curve 0.883333 [1,0.833333,0.75] 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 0.7 [1,0.5,0.5] area_under_roc_curve 0.866667 [0.833333,0.833333,1] area_under_roc_curve 0.85 [1,1,0.25] area_under_roc_curve 1 [1,1,1] 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 0.766667 [1,0.666667,0.5] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.55 [0.666667,0.333333,0.75] area_under_roc_curve 1 [1,1,0.0] area_under_roc_curve 0.866667 [0.833333,0.833333,1] area_under_roc_curve 0.95 [1,1,0.75] area_under_roc_curve 0.5 [0.666667,0.333333,0.5] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.883333 [0.833333,1,0.75] area_under_roc_curve 0.6 [0.666667,0.333333,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.733333 [0.833333,0.666667,0.0] area_under_roc_curve 0.666667 [0.5,0.666667,1] area_under_roc_curve 1 [1,1,0.0] area_under_roc_curve 0.733333 [0.666667,0.666667,1] area_under_roc_curve 0.6 [0.5,0.5,1] area_under_roc_curve 0.933333 [1,0.833333,1] area_under_roc_curve 0.666667 [0.666667,0.5,1] area_under_roc_curve 0.866667 [0.833333,0.833333,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,0.0] 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 0.766667 [1,0.8,0] f_measure 0.766667 [1,0.8,0] f_measure 0.766667 [1,0.8,0] f_measure 1 [1,1,1] f_measure 0.766667 [0.8,1,0] f_measure 0.81746 [0.666667,0.857143,1] f_measure 0.466667 [0.4,0.666667,0] f_measure 0.533333 [0.666667,0.4,0] f_measure 0.81746 [0.857143,0.666667,1] f_measure 0.828571 [0.857143,0.8,0] f_measure 0.5 [0.5,0.666667,0] f_measure 0.666667 [0.666667,0.5,1] f_measure 0.9 [1,0.8,0] f_measure 0.833333 [0.8,0.8,1] f_measure 0.595238 [0.857143,0.5,0] f_measure 0.81746 [0.857143,0.666667,1] f_measure 0.444444 [0.666667,0,0.666667] f_measure 0.666667 [0.666667,0.5,1] f_measure 0.650794 [0.857143,0.666667,0] f_measure 1 [1,1,1] f_measure 1 [1,1,1] f_measure 0.68 [0.8,0.5,0] f_measure 0.46 [0.5,0.4,0] f_measure 0.514286 [0.857143,0,0] f_measure 0.6 [0.666667,0.5,0] f_measure 0.514286 [0.857143,0,0] f_measure 0.780952 [0.857143,0.666667,0] f_measure 0.786667 [0.8,0.666667,1] f_measure 0.266667 [0.666667,0,0] f_measure 0.6 [0.5,0.5,1] f_measure 0.533333 [0.666667,0.666667,0] f_measure 1 [1,1,0] f_measure 0.266667 [0.666667,0,0] f_measure 0.6 [0.666667,0.5,0] f_measure 0.68 [0.8,0.5,0] f_measure 0.45 [0.75,0,0] f_measure 0.780952 [0.857143,0.666667,0] f_measure 1 [1,1,1] f_measure 0.533333 [0.666667,0.666667,0] f_measure 0.533333 [0.666667,0.666667,0] f_measure 0.366667 [0.666667,0,0.5] f_measure 0.72 [0.8,1,0] 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 1 [1,1,1] f_measure 0.533333 [0.666667,0.666667,0] f_measure 0.6 [0.5,0.5,1] f_measure 0.786667 [0.8,0.666667,1] f_measure 0.786667 [0.8,0.666667,1] f_measure 0.786667 [0.8,0.666667,1] f_measure 0.52 [0.8,0.5,0] f_measure 1 [1,1,1] f_measure 0.2 [0.5,0,0] f_measure 0.333333 [0.5,0,0.666667] f_measure 0.366667 [0.666667,0,0.5] f_measure 0.533333 [0.666667,0.666667,0] f_measure 0.72 [1,0.8,0] f_measure 0.52 [0.8,0.5,0] f_measure 0.266667 [0.666667,0,0] f_measure 0.72 [1,0.8,0] f_measure 0.786667 [0.8,0.666667,1] f_measure 0.32 [0.8,0,0] f_measure 0.786667 [0.666667,0.8,1] f_measure 0.533333 [0.666667,0.666667,0] 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 0.6 [1,0.5,0] f_measure 0.786667 [0.666667,0.8,1] f_measure 0.6 [1,0.5,0] f_measure 0.786667 [0.666667,0.8,1] f_measure 0.72 [0.8,1,0] f_measure 1 [1,1,1] f_measure 0.72 [1,0.8,0] f_measure 0.36 [0.5,0.4,0] f_measure 0.6 [1,0.5,0] f_measure 0.786667 [0.666667,0.8,1] f_measure 0.32 [0.8,0,0] f_measure 1 [1,1,0] f_measure 0.6 [0.5,0.5,1] 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 0.52 [0.5,0.8,0] f_measure 0.36 [0.5,0.4,0] f_measure 0.786667 [0.8,0.666667,1] f_measure 0.44 [0.5,0.4,0] 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 0.786667 [0.8,0.666667,1] f_measure 0.786667 [0.8,0.666667,1] f_measure 0.786667 [0.666667,0.8,1] f_measure 1 [1,1,0] f_measure 0.6 [0.666667,0.5,0] f_measure 0.8 [0.8,0.8,0] kappa 0.714286 kappa 0.714286 kappa 0.714286 kappa 1 kappa 0.714286 kappa 0.714286 kappa 0.142857 kappa 0.142857 kappa 0.714286 kappa 0.666667 kappa 0.181818 kappa 0.454545 kappa 0.714286 kappa 0.73913 kappa 0.4 kappa 0.714286 kappa 0.217391 kappa 0.454545 kappa 0.428571 kappa 1 kappa 1 kappa 0.333333 kappa 0.0625 kappa 0.230769 kappa 0.166667 kappa 0.230769 kappa 0.545455 kappa 0.6875 kappa 0 kappa 0.375 kappa 0.333333 kappa 1 kappa 0 kappa 0.166667 kappa 0.333333 kappa 0 kappa 0.545455 kappa 1 kappa 0.333333 kappa 0.333333 kappa 0.166667 kappa 0.666667 kappa 1 kappa 1 kappa 0.666667 kappa 0.6875 kappa 1 kappa 0.333333 kappa 0.375 kappa 0.6875 kappa 0.6875 kappa 0.6875 kappa 0.333333 kappa 1 kappa -0.25 kappa 0.117647 kappa 0.166667 kappa 0.333333 kappa 0.666667 kappa 0.333333 kappa 0 kappa 0.666667 kappa 0.6875 kappa 0.0625 kappa 0.6875 kappa 0.333333 kappa 0.375 kappa 0.6875 kappa 0.333333 kappa 0.375 kappa 0.6875 kappa 0.375 kappa 0.6875 kappa 0.666667 kappa 1 kappa 0.666667 kappa 0 kappa 0.375 kappa 0.6875 kappa 0.0625 kappa 1 kappa 0.375 kappa 0.666667 kappa 0 kappa 0.6875 kappa 0.333333 kappa 0 kappa 0.6875 kappa 0 kappa 0.375 kappa 1 kappa 0.375 kappa 0.375 kappa 0.6875 kappa 0.6875 kappa 0.6875 kappa 0.6875 kappa 1 kappa 0.166667 kappa 0.615385 kb_relative_information_score 3.550616 kb_relative_information_score 3.45611 kb_relative_information_score 2.035915 kb_relative_information_score 4.144352 kb_relative_information_score 2.944226 kb_relative_information_score 2.588708 kb_relative_information_score 1.358462 kb_relative_information_score 1.140069 kb_relative_information_score 3.593417 kb_relative_information_score 2.335071 kb_relative_information_score 1.567045 kb_relative_information_score 2.613348 kb_relative_information_score 2.494363 kb_relative_information_score 2.192709 kb_relative_information_score 2.65315 kb_relative_information_score 3.051795 kb_relative_information_score 2.24181 kb_relative_information_score 1.72348 kb_relative_information_score 1.930547 kb_relative_information_score 4.09468 kb_relative_information_score 2.367239 kb_relative_information_score 1.235338 kb_relative_information_score 0.371566 kb_relative_information_score 0.627381 kb_relative_information_score 1.299485 kb_relative_information_score 1.278527 kb_relative_information_score 1.858078 kb_relative_information_score 3.311286 kb_relative_information_score 2.097363 kb_relative_information_score 2.597682 kb_relative_information_score 1.186602 kb_relative_information_score 2.666764 kb_relative_information_score 1.482563 kb_relative_information_score 1.336034 kb_relative_information_score 1.340406 kb_relative_information_score 1.519416 kb_relative_information_score 2.056602 kb_relative_information_score 3.768588 kb_relative_information_score 2.39243 kb_relative_information_score 1.364951 kb_relative_information_score 1.838711 kb_relative_information_score 1.210956 kb_relative_information_score 3.347349 kb_relative_information_score 3.840505 kb_relative_information_score 2.132579 kb_relative_information_score 3.194212 kb_relative_information_score 3.409006 kb_relative_information_score 1.03923 kb_relative_information_score 2.132435 kb_relative_information_score 2.520078 kb_relative_information_score 3.244883 kb_relative_information_score 2.879774 kb_relative_information_score 2.440416 kb_relative_information_score 3.195632 kb_relative_information_score 0.224631 kb_relative_information_score 1.081534 kb_relative_information_score 1.554753 kb_relative_information_score 2.120881 kb_relative_information_score 2.868189 kb_relative_information_score 1.682584 kb_relative_information_score 1.176122 kb_relative_information_score 2.00916 kb_relative_information_score 3.115771 kb_relative_information_score 1.495996 kb_relative_information_score 2.93246 kb_relative_information_score 1.035402 kb_relative_information_score 2.289644 kb_relative_information_score 2.475845 kb_relative_information_score 1.274266 kb_relative_information_score 1.674783 kb_relative_information_score 3.744486 kb_relative_information_score 1.483625 kb_relative_information_score 2.958183 kb_relative_information_score 1.049279 kb_relative_information_score 3.107223 kb_relative_information_score 2.148346 kb_relative_information_score 1.319498 kb_relative_information_score 1.470174 kb_relative_information_score 2.961238 kb_relative_information_score 1.503163 kb_relative_information_score 2.540696 kb_relative_information_score 2.17709 kb_relative_information_score 2.396567 kb_relative_information_score 0.350696 kb_relative_information_score 3.222007 kb_relative_information_score 1.192094 kb_relative_information_score 1.005113 kb_relative_information_score 3.229382 kb_relative_information_score 1.006883 kb_relative_information_score 1.827076 kb_relative_information_score 2.067227 kb_relative_information_score 1.975221 kb_relative_information_score 1.873593 kb_relative_information_score 2.467938 kb_relative_information_score 2.446567 kb_relative_information_score 2.961665 kb_relative_information_score 3.079879 kb_relative_information_score 1.359594 kb_relative_information_score 1.368105 kb_relative_information_score 1.835173 mean_absolute_error 0.201296 mean_absolute_error 0.222741 mean_absolute_error 0.287198 mean_absolute_error 0.180382 mean_absolute_error 0.247404 mean_absolute_error 0.287522 mean_absolute_error 0.334647 mean_absolute_error 0.31531 mean_absolute_error 0.208701 mean_absolute_error 0.232838 mean_absolute_error 0.316034 mean_absolute_error 0.286066 mean_absolute_error 0.224607 mean_absolute_error 0.309561 mean_absolute_error 0.267078 mean_absolute_error 0.252703 mean_absolute_error 0.299836 mean_absolute_error 0.344637 mean_absolute_error 0.290191 mean_absolute_error 0.180849 mean_absolute_error 0.287077 mean_absolute_error 0.294928 mean_absolute_error 0.363888 mean_absolute_error 0.348967 mean_absolute_error 0.286601 mean_absolute_error 0.28113 mean_absolute_error 0.245566 mean_absolute_error 0.192924 mean_absolute_error 0.292906 mean_absolute_error 0.251073 mean_absolute_error 0.340601 mean_absolute_error 0.181265 mean_absolute_error 0.348674 mean_absolute_error 0.282163 mean_absolute_error 0.278486 mean_absolute_error 0.261322 mean_absolute_error 0.220461 mean_absolute_error 0.153875 mean_absolute_error 0.276009 mean_absolute_error 0.330445 mean_absolute_error 0.314495 mean_absolute_error 0.339606 mean_absolute_error 0.202877 mean_absolute_error 0.1549 mean_absolute_error 0.258819 mean_absolute_error 0.205628 mean_absolute_error 0.196926 mean_absolute_error 0.347997 mean_absolute_error 0.291245 mean_absolute_error 0.26689 mean_absolute_error 0.197344 mean_absolute_error 0.234103 mean_absolute_error 0.258233 mean_absolute_error 0.21568 mean_absolute_error 0.448172 mean_absolute_error 0.376042 mean_absolute_error 0.346388 mean_absolute_error 0.273634 mean_absolute_error 0.207784 mean_absolute_error 0.316003 mean_absolute_error 0.373426 mean_absolute_error 0.270337 mean_absolute_error 0.215257 mean_absolute_error 0.350771 mean_absolute_error 0.234558 mean_absolute_error 0.358424 mean_absolute_error 0.247508 mean_absolute_error 0.270601 mean_absolute_error 0.33041 mean_absolute_error 0.309365 mean_absolute_error 0.157335 mean_absolute_error 0.322703 mean_absolute_error 0.22916 mean_absolute_error 0.356175 mean_absolute_error 0.221386 mean_absolute_error 0.267429 mean_absolute_error 0.352861 mean_absolute_error 0.311791 mean_absolute_error 0.232866 mean_absolute_error 0.345758 mean_absolute_error 0.18421 mean_absolute_error 0.295268 mean_absolute_error 0.227207 mean_absolute_error 0.406407 mean_absolute_error 0.20265 mean_absolute_error 0.339977 mean_absolute_error 0.376991 mean_absolute_error 0.205611 mean_absolute_error 0.317383 mean_absolute_error 0.331017 mean_absolute_error 0.233218 mean_absolute_error 0.316963 mean_absolute_error 0.327549 mean_absolute_error 0.266767 mean_absolute_error 0.278523 mean_absolute_error 0.226026 mean_absolute_error 0.226103 mean_absolute_error 0.2948 mean_absolute_error 0.286923 mean_absolute_error 0.249556 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 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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 0.722222 [1,0.666667,0] precision 0.722222 [1,0.666667,0] precision 0.722222 [1,0.666667,0] precision 1 [1,1,1] precision 0.722222 [0.666667,1,0] precision 0.875 [1,0.75,1] precision 0.444444 [0.333333,0.666667,0] precision 0.583333 [0.666667,0.5,0] precision 0.875 [0.75,1,1] precision 0.875 [0.75,1,0] precision 0.5 [0.5,0.666667,0] precision 0.666667 [0.666667,0.5,1] precision 1 [1,1,0] precision 0.888889 [1,0.666667,1] precision 0.541667 [0.75,0.5,0] precision 0.875 [0.75,1,1] precision 0.416667 [0.666667,0,0.5] precision 0.666667 [0.666667,0.5,1] precision 0.708333 [0.75,1,0] precision 1 [1,1,1] precision 1 [1,1,1] precision 0.8 [1,0.5,0] precision 0.733333 [1,0.333333,0] precision 0.45 [0.75,0,0] precision 0.6 [0.666667,0.5,0] precision 0.45 [0.75,0,0] precision 0.85 [0.75,1,0] precision 0.866667 [0.666667,1,1] precision 0.2 [0.5,0,0] precision 0.6 [0.5,0.5,1] precision 0.6 [1,0.5,0] precision 1 [1,1,0] precision 0.2 [0.5,0,0] precision 0.6 [0.666667,0.5,0] precision 0.8 [1,0.5,0] precision 0.36 [0.6,0,0] precision 0.85 [0.75,1,0] precision 1 [1,1,1] precision 0.6 [1,0.5,0] precision 0.6 [0.5,1,0] precision 0.466667 [1,0,0.333333] 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 1 [1,1,1] precision 0.6 [0.5,1,0] precision 0.6 [0.5,0.5,1] precision 0.866667 [0.666667,1,1] precision 0.866667 [0.666667,1,1] precision 0.866667 [0.666667,1,1] precision 0.466667 [0.666667,0.5,0] precision 1 [1,1,1] precision 0.2 [0.5,0,0] precision 0.3 [0.5,0,0.5] precision 0.466667 [1,0,0.333333] precision 0.6 [1,0.5,0] precision 0.666667 [1,0.666667,0] precision 0.466667 [0.666667,0.5,0] precision 0.2 [0.5,0,0] precision 0.666667 [1,0.666667,0] precision 0.866667 [0.666667,1,1] precision 0.266667 [0.666667,0,0] precision 0.866667 [1,0.666667,1] precision 0.6 [1,0.5,0] precision 0.6 [1,0.5,0] precision 0.866667 [0.666667,1,1] precision 0.466667 [0.666667,0.5,0] precision 0.6 [1,0.5,0] precision 0.866667 [1,0.666667,1] precision 0.6 [1,0.5,0] precision 0.866667 [1,0.666667,1] precision 0.666667 [0.666667,1,0] precision 1 [1,1,1] precision 0.666667 [1,0.666667,0] precision 0.333333 [0.5,0.333333,0] precision 0.6 [1,0.5,0] precision 0.866667 [1,0.666667,1] precision 0.266667 [0.666667,0,0] precision 1 [1,1,0] precision 0.6 [0.5,0.5,1] precision 0.666667 [0.666667,1,0] precision 0.333333 [0.5,0.333333,0] precision 0.866667 [0.666667,1,1] precision 0.466667 [0.5,0.666667,0] precision 0.333333 [0.5,0.333333,0] precision 0.866667 [0.666667,1,1] precision 0.5 [0.5,0.5,0] 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 0.866667 [0.666667,1,1] precision 0.866667 [0.666667,1,1] precision 0.866667 [1,0.666667,1] precision 1 [1,1,0] precision 0.6 [0.666667,0.5,0] precision 0.866667 [1,0.666667,0] predictive_accuracy 0.833333 predictive_accuracy 0.833333 predictive_accuracy 0.833333 predictive_accuracy 1 predictive_accuracy 0.833333 predictive_accuracy 0.833333 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.833333 predictive_accuracy 0.833333 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.833333 predictive_accuracy 0.833333 predictive_accuracy 0.666667 predictive_accuracy 0.833333 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.6 predictive_accuracy 0.4 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 0.6 predictive_accuracy 0.6 predictive_accuracy 1 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 1 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 1 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 1 predictive_accuracy 0.2 predictive_accuracy 0.4 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.8 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 1 predictive_accuracy 0.8 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.4 predictive_accuracy 1 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 1 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 1 predictive_accuracy 0.6 predictive_accuracy 0.8 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 [1,1,0] recall 0.833333 [1,1,0] recall 0.833333 [1,1,0] recall 1 [1,1,1] recall 0.833333 [1,1,0] recall 0.833333 [0.5,1,1] recall 0.5 [0.5,0.666667,0] recall 0.5 [0.666667,0.333333,0] recall 0.833333 [1,0.5,1] recall 0.833333 [1,0.666667,0] recall 0.5 [0.5,0.666667,0] recall 0.666667 [0.666667,0.5,1] recall 0.833333 [1,0.666667,0] recall 0.833333 [0.666667,1,1] recall 0.666667 [1,0.5,0] recall 0.833333 [1,0.5,1] recall 0.5 [0.666667,0,1] recall 0.666667 [0.666667,0.5,1] recall 0.666667 [1,0.5,0] recall 1 [1,1,1] recall 1 [1,1,1] recall 0.6 [0.666667,0.5,0] recall 0.4 [0.333333,0.5,0] recall 0.6 [1,0,0] recall 0.6 [0.666667,0.5,0] recall 0.6 [1,0,0] recall 0.8 [1,0.5,0] recall 0.8 [1,0.5,1] recall 0.4 [1,0,0] recall 0.6 [0.5,0.5,1] recall 0.6 [0.5,1,0] recall 1 [1,1,0] recall 0.4 [1,0,0] recall 0.6 [0.666667,0.5,0] recall 0.6 [0.666667,0.5,0] recall 0.6 [1,0,0] recall 0.8 [1,0.5,0] recall 1 [1,1,1] recall 0.6 [0.5,1,0] recall 0.6 [1,0.5,0] recall 0.4 [0.5,0,1] recall 0.8 [1,1,0] recall 1 [1,1,1] recall 1 [1,1,1] recall 0.8 [1,1,0] recall 0.8 [1,0.5,1] recall 1 [1,1,1] recall 0.6 [1,0.5,0] recall 0.6 [0.5,0.5,1] recall 0.8 [1,0.5,1] 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 0.2 [0.5,0,0] recall 0.4 [0.5,0,1] recall 0.4 [0.5,0,1] recall 0.6 [0.5,1,0] recall 0.8 [1,1,0] recall 0.6 [1,0.5,0] recall 0.4 [1,0,0] recall 0.8 [1,1,0] recall 0.8 [1,0.5,1] recall 0.4 [1,0,0] recall 0.8 [0.5,1,1] recall 0.6 [0.5,1,0] recall 0.6 [1,0.5,0] recall 0.8 [1,0.5,1] recall 0.6 [1,0.5,0] recall 0.6 [1,0.5,0] recall 0.8 [0.5,1,1] recall 0.6 [1,0.5,0] recall 0.8 [0.5,1,1] recall 0.8 [1,1,0] recall 1 [1,1,1] recall 0.8 [1,1,0] recall 0.4 [0.5,0.5,0] recall 0.6 [1,0.5,0] recall 0.8 [0.5,1,1] recall 0.4 [1,0,0] recall 1 [1,1,0] recall 0.6 [0.5,0.5,1] recall 0.8 [1,1,0] recall 0.4 [0.5,0.5,0] recall 0.8 [1,0.5,1] recall 0.6 [0.5,1,0] recall 0.4 [0.5,0.5,0] recall 0.8 [1,0.5,1] recall 0.4 [0.5,0.333333,0] 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 0.8 [1,0.5,1] recall 0.8 [1,0.5,1] recall 0.8 [0.5,1,1] recall 1 [1,1,0] recall 0.6 [0.666667,0.5,0] recall 0.8 [0.666667,1,0] relative_absolute_error 0.486055 relative_absolute_error 0.537838 relative_absolute_error 0.693477 relative_absolute_error 0.431349 relative_absolute_error 0.591619 relative_absolute_error 0.687552 relative_absolute_error 0.800242 relative_absolute_error 0.812909 relative_absolute_error 0.503936 relative_absolute_error 0.600286 relative_absolute_error 0.755735 relative_absolute_error 0.690744 relative_absolute_error 0.579064 relative_absolute_error 0.747476 relative_absolute_error 0.644896 relative_absolute_error 0.610185 relative_absolute_error 0.723994 relative_absolute_error 0.832172 relative_absolute_error 0.700704 relative_absolute_error 0.436684 relative_absolute_error 0.680571 relative_absolute_error 0.765144 relative_absolute_error 0.94405 relative_absolute_error 0.905338 relative_absolute_error 0.743542 relative_absolute_error 0.729347 relative_absolute_error 0.637082 relative_absolute_error 0.457364 relative_absolute_error 0.694388 relative_absolute_error 0.595216 relative_absolute_error 0.807459 relative_absolute_error 0.464422 relative_absolute_error 0.826597 relative_absolute_error 0.732027 relative_absolute_error 0.722488 relative_absolute_error 0.677958 relative_absolute_error 0.571951 relative_absolute_error 0.36479 relative_absolute_error 0.654331 relative_absolute_error 0.783383 relative_absolute_error 0.745571 relative_absolute_error 0.805102 relative_absolute_error 0.480959 relative_absolute_error 0.367221 relative_absolute_error 0.613578 relative_absolute_error 0.48748 relative_absolute_error 0.466851 relative_absolute_error 0.824992 relative_absolute_error 0.690452 relative_absolute_error 0.632713 relative_absolute_error 0.467841 relative_absolute_error 0.554984 relative_absolute_error 0.61219 relative_absolute_error 0.511311 relative_absolute_error 1.062477 relative_absolute_error 0.891479 relative_absolute_error 0.821177 relative_absolute_error 0.648702 relative_absolute_error 0.492591 relative_absolute_error 0.749145 relative_absolute_error 0.885278 relative_absolute_error 0.640885 relative_absolute_error 0.510309 relative_absolute_error 0.83157 relative_absolute_error 0.556063 relative_absolute_error 0.849713 relative_absolute_error 0.586765 relative_absolute_error 0.64151 relative_absolute_error 0.783299 relative_absolute_error 0.733409 relative_absolute_error 0.372993 relative_absolute_error 0.765029 relative_absolute_error 0.543267 relative_absolute_error 0.844381 relative_absolute_error 0.524838 relative_absolute_error 0.633991 relative_absolute_error 0.836523 relative_absolute_error 0.73916 relative_absolute_error 0.552054 relative_absolute_error 0.819684 relative_absolute_error 0.477904 relative_absolute_error 0.69999 relative_absolute_error 0.538637 relative_absolute_error 0.963464 relative_absolute_error 0.480419 relative_absolute_error 0.80598 relative_absolute_error 0.893729 relative_absolute_error 0.487441 relative_absolute_error 0.813172 relative_absolute_error 0.784738 relative_absolute_error 0.605046 relative_absolute_error 0.751422 relative_absolute_error 0.776518 relative_absolute_error 0.632423 relative_absolute_error 0.660291 relative_absolute_error 0.535837 relative_absolute_error 0.536019 relative_absolute_error 0.76481 relative_absolute_error 0.744376 relative_absolute_error 0.647432 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