174475 1 Jan van Rijn 4647 Supervised Classification predictive_accuracy 1071 weka.OneR(17) 1841 weka.classifiers.rules.OneR -- -B 6 B 6 1071 weka weka_3.7.12 1107 tumors_C https://www.openml.org/data/download/53990/tumors_C.arff -1 576739 description https://api.openml.org/data/download/576739/weka_generated_run9132069837264428804.xml -1 576742 model_readable https://api.openml.org/data/download/576742/WekaModel_weka.classifiers.rules.OneR3314348076962369130.model -1 576741 model_serialized https://api.openml.org/data/download/576741/WekaSerialized_weka.classifiers.rules.OneR7526301175724425943.model -1 576740 predictions https://api.openml.org/data/download/576740/weka_generated_predictions54536776621491654.arff area_under_roc_curve 0.458974 [0.458974,0.458974] average_cost 0 f_measure 0.507202 [0.298578,0.619537] kappa -0.081871 kb_relative_information_score -73.660258 mean_absolute_error 0.493333 mean_prior_absolute_error 0.456452 number_of_instances 600 [210,390] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.507747 [0.29717,0.621134] predictive_accuracy 0.506667 prior_entropy 0.938315 recall 0.506667 [0.3,0.617949] relative_absolute_error 1.080801 root_mean_prior_squared_error 0.476994 root_mean_squared_error 0.702377 root_relative_squared_error 1.472506 scimark_benchmark 1465.297853 [893.108389729611, 1119.0214894299963, 609.7341290868692, 1237.1118697080133, 3467.51338498363] total_cost 0 usercpu_time_millis 90 usercpu_time_millis_testing 0 usercpu_time_millis_training 90 area_under_roc_curve 0.333333 [0.333333,0.333333] area_under_roc_curve 0.333333 [0.333333,0.333333] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.333333 [0.333333,0.333333] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.166667 [0.166667,0.166667] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.125 [0.125,0.125] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 0.125 [0.125,0.125] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.125 [0.125,0.125] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.125 [0.125,0.125] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0 [0,0] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.125 [0.125,0.125] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.333333 [0.333333,0.333333] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.333333 [0.333333,0.333333] f_measure 0.333333 [0.333333,0.333333] f_measure 0.333333 [0,0.5] f_measure 0.444444 [0,0.666667] f_measure 0.444444 [0,0.666667] f_measure 0.25 [0,0.5] f_measure 0.485714 [0.4,0.571429] f_measure 0.142857 [0,0.285714] f_measure 0.514286 [0.4,0.571429] f_measure 0.514286 [0.4,0.571429] f_measure 0.333333 [0.333333,0.333333] f_measure 0.838095 [0.8,0.857143] f_measure 0.514286 [0.4,0.571429] f_measure 0.533333 [0,0.8] f_measure 0.814815 [0.666667,0.888889] f_measure 0.190476 [0,0.285714] f_measure 0.514286 [0.4,0.571429] f_measure 0.666667 [0.666667,0.666667] f_measure 0.095238 [0.285714,0] f_measure 0.190476 [0,0.285714] f_measure 0.533333 [0,0.8] f_measure 0.666667 [0.5,0.75] f_measure 0.514286 [0.4,0.571429] f_measure 0.814815 [0.666667,0.888889] f_measure 0.666667 [0.5,0.75] f_measure 0.444444 [0,0.666667] f_measure 0.333333 [0,0.5] f_measure 0.814815 [0.666667,0.888889] f_measure 0.533333 [0,0.8] f_measure 0.514286 [0.4,0.571429] f_measure 0.514286 [0.4,0.571429] f_measure 0.444444 [0,0.666667] f_measure 0.514286 [0.4,0.571429] f_measure 0.333333 [0,0.5] f_measure 0.814815 [0.666667,0.888889] f_measure 0.666667 [0.666667,0.666667] f_measure 0.814815 [0.666667,0.888889] f_measure 0.514286 [0.4,0.571429] f_measure 0.533333 [0,0.8] f_measure 0.190476 [0,0.285714] f_measure 0.457143 [0.571429,0.4] f_measure 0.444444 [0,0.666667] f_measure 0.190476 [0,0.285714] f_measure 0.333333 [0.333333,0.333333] f_measure 0.514286 [0.4,0.571429] f_measure 0.444444 [0,0.666667] f_measure 0.333333 [0,0.5] f_measure 0.444444 [0,0.666667] f_measure 0.444444 [0,0.666667] f_measure 0.666667 [0.5,0.75] f_measure 0.666667 [0.5,0.75] f_measure 0.095238 [0.285714,0] f_measure 0.333333 [0.333333,0.333333] f_measure 0.333333 [0,0.5] f_measure 0.514286 [0.4,0.571429] f_measure 0.333333 [0.333333,0.333333] f_measure 0 [0,0] f_measure 0.514286 [0.4,0.571429] f_measure 0.814815 [0.666667,0.888889] f_measure 0.444444 [0,0.666667] f_measure 0.444444 [0,0.666667] f_measure 0.533333 [0,0.8] f_measure 0.514286 [0.4,0.571429] f_measure 0.814815 [0.666667,0.888889] f_measure 0.666667 [0.5,0.75] f_measure 0.838095 [0.8,0.857143] f_measure 0.444444 [0,0.666667] f_measure 0.514286 [0.4,0.571429] f_measure 0.333333 [0.333333,0.333333] f_measure 0.514286 [0.4,0.571429] f_measure 0.095238 [0.285714,0] f_measure 0.444444 [0,0.666667] f_measure 0.814815 [0.666667,0.888889] f_measure 0.814815 [0.666667,0.888889] f_measure 0.444444 [0,0.666667] f_measure 0.444444 [0,0.666667] f_measure 0.333333 [0,0.5] f_measure 0.814815 [0.666667,0.888889] f_measure 0.333333 [0,0.5] f_measure 0.444444 [0,0.666667] f_measure 0.666667 [0.5,0.75] f_measure 0.814815 [0.666667,0.888889] f_measure 0.333333 [0,0.5] f_measure 0.333333 [0.333333,0.333333] f_measure 0.666667 [0.5,0.75] f_measure 0.444444 [0,0.666667] f_measure 0.444444 [0,0.666667] f_measure 0.190476 [0,0.285714] f_measure 0.533333 [0,0.8] f_measure 0.333333 [0,0.5] f_measure 0.514286 [0.4,0.571429] f_measure 0.333333 [0,0.5] f_measure 0.625 [0.5,0.75] f_measure 0.485714 [0.4,0.571429] f_measure 0.333333 [0.333333,0.333333] f_measure 0.814815 [0.666667,0.888889] f_measure 0.814815 [0.666667,0.888889] f_measure 0.333333 [0,0.5] f_measure 0.485714 [0.4,0.571429] f_measure 0.485714 [0.4,0.571429] kappa -0.333333 kappa -0.333333 kappa -0.5 kappa -0.285714 kappa -0.285714 kappa -0.333333 kappa 0 kappa -0.666667 kappa 0 kappa 0 kappa -0.2 kappa 0.666667 kappa 0 kappa 0 kappa 0.571429 kappa -0.666667 kappa 0 kappa 0.4 kappa -0.363636 kappa -0.666667 kappa 0 kappa 0.25 kappa 0 kappa 0.571429 kappa 0.25 kappa -0.285714 kappa -0.5 kappa 0.571429 kappa 0 kappa 0 kappa 0 kappa -0.285714 kappa 0 kappa -0.5 kappa 0.571429 kappa 0.4 kappa 0.571429 kappa 0 kappa 0 kappa -0.666667 kappa 0.181818 kappa -0.285714 kappa -0.666667 kappa -0.2 kappa 0 kappa -0.285714 kappa -0.5 kappa -0.285714 kappa -0.285714 kappa 0.25 kappa 0.25 kappa -0.363636 kappa -0.2 kappa -0.5 kappa 0 kappa -0.2 kappa -0.8 kappa 0 kappa 0.571429 kappa -0.285714 kappa -0.285714 kappa 0 kappa 0 kappa 0.571429 kappa 0.25 kappa 0.666667 kappa -0.285714 kappa 0 kappa -0.2 kappa 0 kappa -0.363636 kappa -0.285714 kappa 0.571429 kappa 0.571429 kappa -0.285714 kappa -0.285714 kappa -0.5 kappa 0.571429 kappa -0.5 kappa -0.285714 kappa 0.25 kappa 0.571429 kappa -0.5 kappa -0.2 kappa 0.25 kappa -0.285714 kappa -0.285714 kappa -0.666667 kappa 0 kappa -0.5 kappa 0 kappa -0.5 kappa 0.333333 kappa 0 kappa -0.333333 kappa 0.571429 kappa 0.571429 kappa -0.5 kappa 0 kappa 0 kb_relative_information_score -2.266864 kb_relative_information_score -2.266864 kb_relative_information_score -3.18606 kb_relative_information_score -0.919197 kb_relative_information_score -0.919197 kb_relative_information_score -2.266864 kb_relative_information_score 0 kb_relative_information_score -4.533727 kb_relative_information_score -0.919197 kb_relative_information_score -0.919197 kb_relative_information_score -3.18606 kb_relative_information_score 3.61453 kb_relative_information_score -0.919197 kb_relative_information_score 1.347667 kb_relative_information_score 3.61453 kb_relative_information_score -5.452924 kb_relative_information_score -0.919197 kb_relative_information_score 1.347667 kb_relative_information_score -5.452924 kb_relative_information_score -5.452924 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score -0.919197 kb_relative_information_score 3.61453 kb_relative_information_score 1.347667 kb_relative_information_score -0.919197 kb_relative_information_score -3.18606 kb_relative_information_score 3.61453 kb_relative_information_score 1.347667 kb_relative_information_score -0.919197 kb_relative_information_score -0.919197 kb_relative_information_score -0.919197 kb_relative_information_score -0.919197 kb_relative_information_score -3.18606 kb_relative_information_score 3.61453 kb_relative_information_score 1.347667 kb_relative_information_score 3.61453 kb_relative_information_score -0.919197 kb_relative_information_score 1.347667 kb_relative_information_score -5.452924 kb_relative_information_score -0.919197 kb_relative_information_score -0.919197 kb_relative_information_score -5.452924 kb_relative_information_score -3.18606 kb_relative_information_score -0.919197 kb_relative_information_score -0.919197 kb_relative_information_score -3.18606 kb_relative_information_score -0.919197 kb_relative_information_score -0.919197 kb_relative_information_score 1.347667 kb_relative_information_score 1.347667 kb_relative_information_score -5.452924 kb_relative_information_score -3.18606 kb_relative_information_score -3.18606 kb_relative_information_score -0.919197 kb_relative_information_score -3.18606 kb_relative_information_score -7.719788 kb_relative_information_score -0.919197 kb_relative_information_score 3.61453 kb_relative_information_score -0.919197 kb_relative_information_score -0.919197 kb_relative_information_score 1.347667 kb_relative_information_score -0.919197 kb_relative_information_score 3.61453 kb_relative_information_score 1.347667 kb_relative_information_score 3.61453 kb_relative_information_score -0.919197 kb_relative_information_score -0.919197 kb_relative_information_score -3.18606 kb_relative_information_score -0.919197 kb_relative_information_score -5.452924 kb_relative_information_score -0.919197 kb_relative_information_score 3.61453 kb_relative_information_score 3.61453 kb_relative_information_score -0.919197 kb_relative_information_score -0.919197 kb_relative_information_score -3.18606 kb_relative_information_score 3.61453 kb_relative_information_score -3.18606 kb_relative_information_score -0.919197 kb_relative_information_score 1.347667 kb_relative_information_score 3.61453 kb_relative_information_score -3.18606 kb_relative_information_score -3.18606 kb_relative_information_score 1.347667 kb_relative_information_score -0.919197 kb_relative_information_score -0.919197 kb_relative_information_score -5.452924 kb_relative_information_score 1.347667 kb_relative_information_score -3.18606 kb_relative_information_score -0.919197 kb_relative_information_score -3.18606 kb_relative_information_score 2.266864 kb_relative_information_score 0 kb_relative_information_score -2.266864 kb_relative_information_score 3.61453 kb_relative_information_score 3.61453 kb_relative_information_score -3.18606 kb_relative_information_score 0 kb_relative_information_score 0 mean_absolute_error 0.666667 mean_absolute_error 0.666667 mean_absolute_error 0.666667 mean_absolute_error 0.5 mean_absolute_error 0.5 mean_absolute_error 0.666667 mean_absolute_error 0.5 mean_absolute_error 0.833333 mean_absolute_error 0.5 mean_absolute_error 0.5 mean_absolute_error 0.666667 mean_absolute_error 0.166667 mean_absolute_error 0.5 mean_absolute_error 0.333333 mean_absolute_error 0.166667 mean_absolute_error 0.833333 mean_absolute_error 0.5 mean_absolute_error 0.333333 mean_absolute_error 0.833333 mean_absolute_error 0.833333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.5 mean_absolute_error 0.166667 mean_absolute_error 0.333333 mean_absolute_error 0.5 mean_absolute_error 0.666667 mean_absolute_error 0.166667 mean_absolute_error 0.333333 mean_absolute_error 0.5 mean_absolute_error 0.5 mean_absolute_error 0.5 mean_absolute_error 0.5 mean_absolute_error 0.666667 mean_absolute_error 0.166667 mean_absolute_error 0.333333 mean_absolute_error 0.166667 mean_absolute_error 0.5 mean_absolute_error 0.333333 mean_absolute_error 0.833333 mean_absolute_error 0.5 mean_absolute_error 0.5 mean_absolute_error 0.833333 mean_absolute_error 0.666667 mean_absolute_error 0.5 mean_absolute_error 0.5 mean_absolute_error 0.666667 mean_absolute_error 0.5 mean_absolute_error 0.5 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.833333 mean_absolute_error 0.666667 mean_absolute_error 0.666667 mean_absolute_error 0.5 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mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.451613 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 number_of_instances 6 [3,3] number_of_instances 6 [3,3] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [3,3] number_of_instances 6 [3,3] number_of_instances 6 [3,3] number_of_instances 6 [2,4] number_of_instances 6 [2,4] 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number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [3,3] number_of_instances 6 [3,3] number_of_instances 6 [3,3] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [2,4] number_of_instances 6 [3,3] number_of_instances 6 [3,3] precision 0.333333 [0.333333,0.333333] precision 0.333333 [0.333333,0.333333] precision 0.333333 [0,0.5] precision 0.4 [0,0.6] precision 0.4 [0,0.6] precision 0.2 [0,0.4] precision 0.5 [0.5,0.5] precision 0.125 [0,0.25] precision 0.555556 [0.333333,0.666667] precision 0.555556 [0.333333,0.666667] precision 0.416667 [0.25,0.5] precision 0.888889 [0.666667,1] precision 0.555556 [0.333333,0.666667] precision 0.444444 [0,0.666667] precision 0.866667 [1,0.8] precision 0.222222 [0,0.333333] precision 0.555556 [0.333333,0.666667] precision 0.833333 [0.5,1] precision 0.066667 [0.2,0] precision 0.222222 [0,0.333333] precision 0.444444 [0,0.666667] precision 0.666667 [0.5,0.75] precision 0.555556 [0.333333,0.666667] precision 0.866667 [1,0.8] precision 0.666667 [0.5,0.75] precision 0.4 [0,0.6] precision 0.333333 [0,0.5] precision 0.866667 [1,0.8] precision 0.444444 [0,0.666667] precision 0.555556 [0.333333,0.666667] precision 0.555556 [0.333333,0.666667] precision 0.4 [0,0.6] precision 0.555556 [0.333333,0.666667] precision 0.333333 [0,0.5] precision 0.866667 [1,0.8] precision 0.833333 [0.5,1] precision 0.866667 [1,0.8] precision 0.555556 [0.333333,0.666667] precision 0.444444 [0,0.666667] precision 0.222222 [0,0.333333] precision 0.8 [0.4,1] precision 0.4 [0,0.6] precision 0.222222 [0,0.333333] precision 0.416667 [0.25,0.5] precision 0.555556 [0.333333,0.666667] precision 0.4 [0,0.6] precision 0.333333 [0,0.5] precision 0.4 [0,0.6] precision 0.4 [0,0.6] precision 0.666667 [0.5,0.75] precision 0.666667 [0.5,0.75] precision 0.066667 [0.2,0] precision 0.416667 [0.25,0.5] precision 0.333333 [0,0.5] precision 0.555556 [0.333333,0.666667] precision 0.416667 [0.25,0.5] precision 0 [0,0] precision 0.555556 [0.333333,0.666667] precision 0.866667 [1,0.8] precision 0.4 [0,0.6] precision 0.4 [0,0.6] precision 0.444444 [0,0.666667] precision 0.555556 [0.333333,0.666667] precision 0.866667 [1,0.8] precision 0.666667 [0.5,0.75] precision 0.888889 [0.666667,1] precision 0.4 [0,0.6] precision 0.555556 [0.333333,0.666667] precision 0.416667 [0.25,0.5] precision 0.555556 [0.333333,0.666667] precision 0.066667 [0.2,0] precision 0.4 [0,0.6] precision 0.866667 [1,0.8] precision 0.866667 [1,0.8] precision 0.4 [0,0.6] precision 0.4 [0,0.6] precision 0.333333 [0,0.5] precision 0.866667 [1,0.8] precision 0.333333 [0,0.5] precision 0.4 [0,0.6] precision 0.666667 [0.5,0.75] precision 0.866667 [1,0.8] precision 0.333333 [0,0.5] precision 0.416667 [0.25,0.5] precision 0.666667 [0.5,0.75] precision 0.4 [0,0.6] precision 0.4 [0,0.6] precision 0.222222 [0,0.333333] precision 0.444444 [0,0.666667] precision 0.333333 [0,0.5] precision 0.555556 [0.333333,0.666667] precision 0.333333 [0,0.5] precision 0.8 [1,0.6] precision 0.5 [0.5,0.5] precision 0.333333 [0.333333,0.333333] precision 0.866667 [1,0.8] precision 0.866667 [1,0.8] precision 0.333333 [0,0.5] precision 0.5 [0.5,0.5] precision 0.5 [0.5,0.5] predictive_accuracy 0.333333 predictive_accuracy 0.333333 predictive_accuracy 0.333333 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.333333 predictive_accuracy 0.5 predictive_accuracy 0.166667 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.333333 predictive_accuracy 0.833333 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.833333 predictive_accuracy 0.166667 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.166667 predictive_accuracy 0.166667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.5 predictive_accuracy 0.833333 predictive_accuracy 0.666667 predictive_accuracy 0.5 predictive_accuracy 0.333333 predictive_accuracy 0.833333 predictive_accuracy 0.666667 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.333333 predictive_accuracy 0.833333 predictive_accuracy 0.666667 predictive_accuracy 0.833333 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.166667 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.166667 predictive_accuracy 0.333333 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.333333 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.166667 predictive_accuracy 0.333333 predictive_accuracy 0.333333 predictive_accuracy 0.5 predictive_accuracy 0.333333 predictive_accuracy 0 predictive_accuracy 0.5 predictive_accuracy 0.833333 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.5 predictive_accuracy 0.833333 predictive_accuracy 0.666667 predictive_accuracy 0.833333 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.333333 predictive_accuracy 0.5 predictive_accuracy 0.166667 predictive_accuracy 0.5 predictive_accuracy 0.833333 predictive_accuracy 0.833333 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.333333 predictive_accuracy 0.833333 predictive_accuracy 0.333333 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 0.833333 predictive_accuracy 0.333333 predictive_accuracy 0.333333 predictive_accuracy 0.666667 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.166667 predictive_accuracy 0.666667 predictive_accuracy 0.333333 predictive_accuracy 0.5 predictive_accuracy 0.333333 predictive_accuracy 0.666667 predictive_accuracy 0.5 predictive_accuracy 0.333333 predictive_accuracy 0.833333 predictive_accuracy 0.833333 predictive_accuracy 0.333333 predictive_accuracy 0.5 predictive_accuracy 0.5 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 prior_entropy 0.938315 recall 0.333333 [0.333333,0.333333] recall 0.333333 [0.333333,0.333333] recall 0.333333 [0,0.5] recall 0.5 [0,0.75] recall 0.5 [0,0.75] recall 0.333333 [0,0.666667] recall 0.5 [0.333333,0.666667] recall 0.166667 [0,0.333333] recall 0.5 [0.5,0.5] recall 0.5 [0.5,0.5] recall 0.333333 [0.5,0.25] recall 0.833333 [1,0.75] recall 0.5 [0.5,0.5] recall 0.666667 [0,1] recall 0.833333 [0.5,1] recall 0.166667 [0,0.25] recall 0.5 [0.5,0.5] recall 0.666667 [1,0.5] recall 0.166667 [0.5,0] recall 0.166667 [0,0.25] recall 0.666667 [0,1] recall 0.666667 [0.5,0.75] recall 0.5 [0.5,0.5] recall 0.833333 [0.5,1] recall 0.666667 [0.5,0.75] recall 0.5 [0,0.75] recall 0.333333 [0,0.5] recall 0.833333 [0.5,1] recall 0.666667 [0,1] recall 0.5 [0.5,0.5] recall 0.5 [0.5,0.5] recall 0.5 [0,0.75] recall 0.5 [0.5,0.5] recall 0.333333 [0,0.5] recall 0.833333 [0.5,1] recall 0.666667 [1,0.5] recall 0.833333 [0.5,1] recall 0.5 [0.5,0.5] recall 0.666667 [0,1] recall 0.166667 [0,0.25] recall 0.5 [1,0.25] recall 0.5 [0,0.75] recall 0.166667 [0,0.25] recall 0.333333 [0.5,0.25] recall 0.5 [0.5,0.5] recall 0.5 [0,0.75] recall 0.333333 [0,0.5] recall 0.5 [0,0.75] recall 0.5 [0,0.75] recall 0.666667 [0.5,0.75] recall 0.666667 [0.5,0.75] recall 0.166667 [0.5,0] recall 0.333333 [0.5,0.25] recall 0.333333 [0,0.5] recall 0.5 [0.5,0.5] recall 0.333333 [0.5,0.25] recall 0 [0,0] recall 0.5 [0.5,0.5] recall 0.833333 [0.5,1] recall 0.5 [0,0.75] recall 0.5 [0,0.75] recall 0.666667 [0,1] recall 0.5 [0.5,0.5] recall 0.833333 [0.5,1] recall 0.666667 [0.5,0.75] recall 0.833333 [1,0.75] recall 0.5 [0,0.75] recall 0.5 [0.5,0.5] recall 0.333333 [0.5,0.25] recall 0.5 [0.5,0.5] recall 0.166667 [0.5,0] recall 0.5 [0,0.75] recall 0.833333 [0.5,1] recall 0.833333 [0.5,1] recall 0.5 [0,0.75] recall 0.5 [0,0.75] recall 0.333333 [0,0.5] recall 0.833333 [0.5,1] recall 0.333333 [0,0.5] recall 0.5 [0,0.75] recall 0.666667 [0.5,0.75] recall 0.833333 [0.5,1] recall 0.333333 [0,0.5] recall 0.333333 [0.5,0.25] recall 0.666667 [0.5,0.75] recall 0.5 [0,0.75] recall 0.5 [0,0.75] recall 0.166667 [0,0.25] recall 0.666667 [0,1] recall 0.333333 [0,0.5] recall 0.5 [0.5,0.5] recall 0.333333 [0,0.5] recall 0.666667 [0.333333,1] recall 0.5 [0.333333,0.666667] recall 0.333333 [0.333333,0.333333] recall 0.833333 [0.5,1] recall 0.833333 [0.5,1] recall 0.333333 [0,0.5] recall 0.5 [0.333333,0.666667] recall 0.5 [0.333333,0.666667] relative_absolute_error 1.333333 relative_absolute_error 1.333333 relative_absolute_error 1.47619 relative_absolute_error 1.107143 relative_absolute_error 1.107143 relative_absolute_error 1.333333 relative_absolute_error 1 relative_absolute_error 1.666667 relative_absolute_error 1.107143 relative_absolute_error 1.107143 relative_absolute_error 1.47619 relative_absolute_error 0.369048 relative_absolute_error 1.107143 relative_absolute_error 0.738095 relative_absolute_error 0.369048 relative_absolute_error 1.845238 relative_absolute_error 1.107143 relative_absolute_error 0.738095 relative_absolute_error 1.845238 relative_absolute_error 1.845238 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 1.107143 relative_absolute_error 0.369048 relative_absolute_error 0.738095 relative_absolute_error 1.107143 relative_absolute_error 1.47619 relative_absolute_error 0.369048 relative_absolute_error 0.738095 relative_absolute_error 1.107143 relative_absolute_error 1.107143 relative_absolute_error 1.107143 relative_absolute_error 1.107143 relative_absolute_error 1.47619 relative_absolute_error 0.369048 relative_absolute_error 0.738095 relative_absolute_error 0.369048 relative_absolute_error 1.107143 relative_absolute_error 0.738095 relative_absolute_error 1.845238 relative_absolute_error 1.107143 relative_absolute_error 1.107143 relative_absolute_error 1.845238 relative_absolute_error 1.47619 relative_absolute_error 1.107143 relative_absolute_error 1.107143 relative_absolute_error 1.47619 relative_absolute_error 1.107143 relative_absolute_error 1.107143 relative_absolute_error 0.738095 relative_absolute_error 0.738095 relative_absolute_error 1.845238 relative_absolute_error 1.47619 relative_absolute_error 1.47619 relative_absolute_error 1.107143 relative_absolute_error 1.47619 relative_absolute_error 2.214286 relative_absolute_error 1.107143 relative_absolute_error 0.369048 relative_absolute_error 1.107143 relative_absolute_error 1.107143 relative_absolute_error 0.738095 relative_absolute_error 1.107143 relative_absolute_error 0.369048 relative_absolute_error 0.738095 relative_absolute_error 0.369048 relative_absolute_error 1.107143 relative_absolute_error 1.107143 relative_absolute_error 1.47619 relative_absolute_error 1.107143 relative_absolute_error 1.845238 relative_absolute_error 1.107143 relative_absolute_error 0.369048 relative_absolute_error 0.369048 relative_absolute_error 1.107143 relative_absolute_error 1.107143 relative_absolute_error 1.47619 relative_absolute_error 0.369048 relative_absolute_error 1.47619 relative_absolute_error 1.107143 relative_absolute_error 0.738095 relative_absolute_error 0.369048 relative_absolute_error 1.47619 relative_absolute_error 1.47619 relative_absolute_error 0.738095 relative_absolute_error 1.107143 relative_absolute_error 1.107143 relative_absolute_error 1.845238 relative_absolute_error 0.738095 relative_absolute_error 1.47619 relative_absolute_error 1.107143 relative_absolute_error 1.47619 relative_absolute_error 0.666667 relative_absolute_error 1 relative_absolute_error 1.333333 relative_absolute_error 0.369048 relative_absolute_error 0.369048 relative_absolute_error 1.47619 relative_absolute_error 1 relative_absolute_error 1 root_mean_prior_squared_error 0.520646 root_mean_prior_squared_error 0.520646 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.520646 root_mean_prior_squared_error 0.520646 root_mean_prior_squared_error 0.520646 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 root_mean_prior_squared_error 0.471895 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