399872 2 Joaquin Vanschoren 4333 Supervised Classification predictive_accuracy 1200 weka.LADTree(4) 2070 weka.classifiers.trees.LADTree -- -B 10 B 10 1200 weka weka_3.7.12 762 fri_c2_100_10 https://www.openml.org/data/download/53296/fri_c2_100_10.arff -1 1399700 description https://api.openml.org/data/download/1399700/weka_generated_run2617538620744687892.xml -1 1399703 model_readable https://api.openml.org/data/download/1399703/WekaModel_weka.classifiers.trees.LADTree5047227317355302007.model -1 1399702 model_serialized https://api.openml.org/data/download/1399702/WekaSerialized_weka.classifiers.trees.LADTree4494256737107710688.model -1 1399701 predictions https://api.openml.org/data/download/1399701/weka_generated_predictions4275446146201631228.arff area_under_roc_curve 0.797564 [0.797564,0.797564] average_cost 0 f_measure 0.7373 [0.711939,0.75805] kappa 0.470079 kb_relative_information_score 427.677017 mean_absolute_error 0.287717 mean_prior_absolute_error 0.495098 number_of_instances 1000 [450,550] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.737849 [0.701944,0.767225] predictive_accuracy 0.737 prior_entropy 0.993055 recall 0.737 [0.722222,0.749091] relative_absolute_error 0.581131 root_mean_prior_squared_error 0.497495 root_mean_squared_error 0.462455 root_relative_squared_error 0.929569 scimark_benchmark 938.992585 [543.0387822329591, 1013.919993711725, 482.14720472367435, 909.9062692880296, 1745.9506755015693] total_cost 0 usercpu_time_millis 10 usercpu_time_millis_testing 0 usercpu_time_millis_training 10 area_under_roc_curve 0.583333 [0.583333,0.583333] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.52 [0.52,0.52] area_under_roc_curve 0.92 [0.92,0.92] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.98 [0.98,0.98] area_under_roc_curve 0.68 [0.68,0.68] area_under_roc_curve 0.770833 [0.770833,0.770833] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.96 [0.96,0.96] area_under_roc_curve 0.708333 [0.708333,0.708333] area_under_roc_curve 0.72 [0.72,0.72] area_under_roc_curve 0.88 [0.88,0.88] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.72 [0.72,0.72] area_under_roc_curve 0.92 [0.92,0.92] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.68 [0.68,0.68] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.88 [0.88,0.88] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.82 [0.82,0.82] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.68 [0.68,0.68] area_under_roc_curve 0.88 [0.88,0.88] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.76 [0.76,0.76] area_under_roc_curve 0.78 [0.78,0.78] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.72 [0.72,0.72] area_under_roc_curve 0.58 [0.58,0.58] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.895833 [0.895833,0.895833] area_under_roc_curve 0.98 [0.98,0.98] area_under_roc_curve 0.78 [0.78,0.78] area_under_roc_curve 0.583333 [0.583333,0.583333] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.78 [0.78,0.78] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.88 [0.88,0.88] area_under_roc_curve 0.92 [0.92,0.92] area_under_roc_curve 0.86 [0.86,0.86] area_under_roc_curve 0.604167 [0.604167,0.604167] area_under_roc_curve 0.68 [0.68,0.68] area_under_roc_curve 0.78 [0.78,0.78] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.94 [0.94,0.94] area_under_roc_curve 0.708333 [0.708333,0.708333] area_under_roc_curve 0.583333 [0.583333,0.583333] area_under_roc_curve 0.729167 [0.729167,0.729167] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.854167 [0.854167,0.854167] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.68 [0.68,0.68] area_under_roc_curve 0.979167 [0.979167,0.979167] area_under_roc_curve 0.8125 [0.8125,0.8125] area_under_roc_curve 0.54 [0.54,0.54] area_under_roc_curve 0.916667 [0.916667,0.916667] area_under_roc_curve 0.520833 [0.520833,0.520833] area_under_roc_curve 0.854167 [0.854167,0.854167] area_under_roc_curve 0.94 [0.94,0.94] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.92 [0.92,0.92] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.9375 [0.9375,0.9375] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.895833 [0.895833,0.895833] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.6875 [0.6875,0.6875] area_under_roc_curve 0.92 [0.92,0.92] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.76 [0.76,0.76] area_under_roc_curve 0.8125 [0.8125,0.8125] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.958333 [0.958333,0.958333] area_under_roc_curve 0.979167 [0.979167,0.979167] area_under_roc_curve 0.958333 [0.958333,0.958333] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.583333 [0.583333,0.583333] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.92 [0.92,0.92] area_under_roc_curve 0.958333 [0.958333,0.958333] area_under_roc_curve 0.541667 [0.541667,0.541667] area_under_roc_curve 0.76 [0.76,0.76] area_under_roc_curve 0.916667 [0.916667,0.916667] area_under_roc_curve 0.9375 [0.9375,0.9375] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.82 [0.82,0.82] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.583333 [0.583333,0.583333] area_under_roc_curve 0.854167 [0.854167,0.854167] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.6 [0.5,0.666667] f_measure 0.791667 [0.833333,0.75] f_measure 0.494949 [0.545455,0.444444] f_measure 0.89899 [0.909091,0.888889] f_measure 0.8 [0.75,0.833333] f_measure 0.791667 [0.75,0.833333] f_measure 0.450549 [0.615385,0.285714] f_measure 0.70303 [0.666667,0.727273] f_measure 0.89899 [0.888889,0.909091] f_measure 0.89899 [0.909091,0.888889] f_measure 0.70303 [0.666667,0.727273] f_measure 0.8 [0.8,0.8] f_measure 0.791667 [0.75,0.833333] f_measure 0.791667 [0.75,0.833333] f_measure 0.8 [0.75,0.833333] f_measure 0.69697 [0.727273,0.666667] f_measure 0.8 [0.8,0.8] f_measure 1 [1,1] f_measure 0.494949 [0.444444,0.545455] f_measure 0.69697 [0.727273,0.666667] f_measure 0.69011 [0.571429,0.769231] f_measure 0.69697 [0.727273,0.666667] f_measure 0.6 [0.6,0.6] f_measure 0.583333 [0.5,0.666667] f_measure 0.505051 [0.444444,0.545455] f_measure 0.69697 [0.666667,0.727273] f_measure 0.8 [0.8,0.8] f_measure 0.896703 [0.857143,0.923077] f_measure 0.8 [0.8,0.8] f_measure 0.67033 [0.571429,0.769231] f_measure 0.6 [0.5,0.666667] f_measure 0.450549 [0.285714,0.615385] f_measure 0.69697 [0.727273,0.666667] f_measure 0.791667 [0.833333,0.75] f_measure 0.8 [0.75,0.833333] f_measure 0.89899 [0.909091,0.888889] f_measure 0.6 [0.6,0.6] f_measure 0.505051 [0.444444,0.545455] f_measure 0.89899 [0.909091,0.888889] f_measure 0.583333 [0.5,0.666667] f_measure 0.70303 [0.666667,0.727273] f_measure 0.89899 [0.888889,0.909091] f_measure 0.69697 [0.666667,0.727273] f_measure 0.69697 [0.666667,0.727273] f_measure 0.6 [0.5,0.666667] f_measure 0.583333 [0.5,0.666667] f_measure 0.69697 [0.727273,0.666667] f_measure 0.6 [0.6,0.6] f_measure 0.67033 [0.571429,0.769231] f_measure 1 [1,1] f_measure 0.8 [0.8,0.8] f_measure 0.70303 [0.666667,0.727273] f_measure 0.6 [0.6,0.6] f_measure 0.69011 [0.571429,0.769231] f_measure 0.8 [0.8,0.8] f_measure 0.90101 [0.888889,0.909091] f_measure 0.6 [0.6,0.6] f_measure 0.583333 [0.5,0.666667] f_measure 0.90101 [0.888889,0.909091] f_measure 0.69011 [0.571429,0.769231] f_measure 0.4 [0.4,0.4] f_measure 0.896703 [0.857143,0.923077] f_measure 0.4 [0.4,0.4] f_measure 0.70303 [0.666667,0.727273] f_measure 0.8 [0.8,0.8] f_measure 1 [1,1] f_measure 0.8 [0.75,0.833333] f_measure 0.8 [0.8,0.8] f_measure 0.417582 [0.615385,0.285714] f_measure 0.90101 [0.888889,0.909091] f_measure 0.8 [0.8,0.8] f_measure 0.8 [0.75,0.833333] f_measure 0.6 [0.6,0.6] f_measure 0.8 [0.8,0.8] f_measure 0.89899 [0.888889,0.909091] f_measure 1 [1,1] f_measure 0.8 [0.8,0.8] f_measure 0.8 [0.8,0.8] f_measure 0.8 [0.75,0.833333] f_measure 0.690909 [0.727273,0.666667] f_measure 0.69697 [0.727273,0.666667] f_measure 0.690909 [0.727273,0.666667] f_measure 0.780952 [0.666667,0.857143] f_measure 0.896703 [0.857143,0.923077] f_measure 0.791667 [0.833333,0.75] f_measure 0.6 [0.5,0.666667] f_measure 0.561905 [0.333333,0.714286] f_measure 0.791667 [0.75,0.833333] f_measure 0.90101 [0.888889,0.909091] f_measure 0.6 [0.5,0.666667] f_measure 0.69697 [0.666667,0.727273] f_measure 0.90101 [0.888889,0.909091] f_measure 0.896703 [0.857143,0.923077] f_measure 0.6 [0.6,0.6] f_measure 0.69697 [0.727273,0.666667] f_measure 0.70303 [0.666667,0.727273] f_measure 0.8 [0.75,0.833333] f_measure 0.8 [0.8,0.8] f_measure 0.64 [0.4,0.8] f_measure 0.896703 [0.857143,0.923077] kappa 0.166667 kappa 0.6 kappa 0 kappa 0.8 kappa 0.583333 kappa 0.6 kappa 0 kappa 0.4 kappa 0.8 kappa 0.8 kappa 0.4 kappa 0.6 kappa 0.6 kappa 0.6 kappa 0.583333 kappa 0.4 kappa 0.6 kappa 1 kappa 0 kappa 0.4 kappa 0.347826 kappa 0.4 kappa 0.2 kappa 0.2 kappa 0 kappa 0.4 kappa 0.6 kappa 0.782609 kappa 0.6 kappa 0.4 kappa 0.166667 kappa 0 kappa 0.4 kappa 0.6 kappa 0.583333 kappa 0.8 kappa 0.2 kappa 0 kappa 0.8 kappa 0.2 kappa 0.4 kappa 0.8 kappa 0.4 kappa 0.4 kappa 0.166667 kappa 0.2 kappa 0.4 kappa 0.230769 kappa 0.4 kappa 1 kappa 0.6 kappa 0.4 kappa 0.230769 kappa 0.347826 kappa 0.6 kappa 0.8 kappa 0.230769 kappa 0.2 kappa 0.8 kappa 0.347826 kappa -0.2 kappa 0.782609 kappa -0.153846 kappa 0.4 kappa 0.6 kappa 1 kappa 0.583333 kappa 0.6 kappa 0.137931 kappa 0.8 kappa 0.6 kappa 0.583333 kappa 0.230769 kappa 0.615385 kappa 0.8 kappa 1 kappa 0.615385 kappa 0.6 kappa 0.583333 kappa 0.444444 kappa 0.4 kappa 0.444444 kappa 0.545455 kappa 0.782609 kappa 0.6 kappa 0.166667 kappa 0.090909 kappa 0.6 kappa 0.8 kappa 0.166667 kappa 0.4 kappa 0.8 kappa 0.782609 kappa 0.230769 kappa 0.4 kappa 0.4 kappa 0.583333 kappa 0.6 kappa 0.285714 kappa 0.782609 kb_relative_information_score 1.207509 kb_relative_information_score 5.693604 kb_relative_information_score 0.344066 kb_relative_information_score 6.707077 kb_relative_information_score 5.23045 kb_relative_information_score 5.388645 kb_relative_information_score 1.091152 kb_relative_information_score 3.586252 kb_relative_information_score 6.864947 kb_relative_information_score 7.311303 kb_relative_information_score 3.768402 kb_relative_information_score 5.190902 kb_relative_information_score 4.354406 kb_relative_information_score 4.965625 kb_relative_information_score 5.178102 kb_relative_information_score 4.286992 kb_relative_information_score 5.169434 kb_relative_information_score 7.342643 kb_relative_information_score 1.562668 kb_relative_information_score 4.750458 kb_relative_information_score 3.669189 kb_relative_information_score 4.40828 kb_relative_information_score 0.955984 kb_relative_information_score 2.176886 kb_relative_information_score 1.406714 kb_relative_information_score 3.778794 kb_relative_information_score 5.520153 kb_relative_information_score 7.29346 kb_relative_information_score 5.367206 kb_relative_information_score 3.615329 kb_relative_information_score 2.889927 kb_relative_information_score 1.138243 kb_relative_information_score 2.202777 kb_relative_information_score 6.451895 kb_relative_information_score 6.215306 kb_relative_information_score 7.687272 kb_relative_information_score 2.806102 kb_relative_information_score -0.261791 kb_relative_information_score 6.017657 kb_relative_information_score 2.321915 kb_relative_information_score 3.326684 kb_relative_information_score 6.363678 kb_relative_information_score 4.598007 kb_relative_information_score 3.868033 kb_relative_information_score 1.567911 kb_relative_information_score 2.632477 kb_relative_information_score 3.804605 kb_relative_information_score 1.80054 kb_relative_information_score 4.108957 kb_relative_information_score 8.540311 kb_relative_information_score 5.358664 kb_relative_information_score 3.443847 kb_relative_information_score 1.930916 kb_relative_information_score 4.289407 kb_relative_information_score 5.462891 kb_relative_information_score 6.94983 kb_relative_information_score 2.00209 kb_relative_information_score 1.568847 kb_relative_information_score 7.3189 kb_relative_information_score 4.140306 kb_relative_information_score -0.526068 kb_relative_information_score 5.095295 kb_relative_information_score -1.912878 kb_relative_information_score 3.886463 kb_relative_information_score 5.771185 kb_relative_information_score 9.236585 kb_relative_information_score 4.106986 kb_relative_information_score 5.869632 kb_relative_information_score -0.442694 kb_relative_information_score 7.100635 kb_relative_information_score 6.063088 kb_relative_information_score 5.025692 kb_relative_information_score 2.722881 kb_relative_information_score 3.762356 kb_relative_information_score 6.609933 kb_relative_information_score 7.687985 kb_relative_information_score 3.328154 kb_relative_information_score 5.23438 kb_relative_information_score 5.529191 kb_relative_information_score 3.643668 kb_relative_information_score 3.995476 kb_relative_information_score 4.759819 kb_relative_information_score 5.751387 kb_relative_information_score 6.538878 kb_relative_information_score 6.178996 kb_relative_information_score 0.831706 kb_relative_information_score 1.719979 kb_relative_information_score 4.80079 kb_relative_information_score 6.74797 kb_relative_information_score 1.674004 kb_relative_information_score 3.87962 kb_relative_information_score 7.471137 kb_relative_information_score 7.333257 kb_relative_information_score 1.876941 kb_relative_information_score 3.416787 kb_relative_information_score 3.763691 kb_relative_information_score 5.460138 kb_relative_information_score 6.075858 kb_relative_information_score 2.584607 kb_relative_information_score 6.29067 mean_absolute_error 0.43253 mean_absolute_error 0.225502 mean_absolute_error 0.480064 mean_absolute_error 0.183716 mean_absolute_error 0.237285 mean_absolute_error 0.244299 mean_absolute_error 0.435866 mean_absolute_error 0.313658 mean_absolute_error 0.172377 mean_absolute_error 0.148824 mean_absolute_error 0.305276 mean_absolute_error 0.256951 mean_absolute_error 0.28936 mean_absolute_error 0.266322 mean_absolute_error 0.243021 mean_absolute_error 0.293803 mean_absolute_error 0.257654 mean_absolute_error 0.147363 mean_absolute_error 0.414693 mean_absolute_error 0.261473 mean_absolute_error 0.306955 mean_absolute_error 0.281928 mean_absolute_error 0.456758 mean_absolute_error 0.387507 mean_absolute_error 0.409182 mean_absolute_error 0.31837 mean_absolute_error 0.234994 mean_absolute_error 0.134302 mean_absolute_error 0.244375 mean_absolute_error 0.330123 mean_absolute_error 0.340884 mean_absolute_error 0.438461 mean_absolute_error 0.405492 mean_absolute_error 0.187164 mean_absolute_error 0.183191 mean_absolute_error 0.128504 mean_absolute_error 0.353917 mean_absolute_error 0.498392 mean_absolute_error 0.219208 mean_absolute_error 0.381805 mean_absolute_error 0.328032 mean_absolute_error 0.198914 mean_absolute_error 0.2721 mean_absolute_error 0.313021 mean_absolute_error 0.411422 mean_absolute_error 0.370823 mean_absolute_error 0.316675 mean_absolute_error 0.39638 mean_absolute_error 0.297259 mean_absolute_error 0.098564 mean_absolute_error 0.246282 mean_absolute_error 0.321634 mean_absolute_error 0.392141 mean_absolute_error 0.277275 mean_absolute_error 0.239878 mean_absolute_error 0.155308 mean_absolute_error 0.385044 mean_absolute_error 0.426231 mean_absolute_error 0.134029 mean_absolute_error 0.284176 mean_absolute_error 0.511182 mean_absolute_error 0.248803 mean_absolute_error 0.573998 mean_absolute_error 0.293149 mean_absolute_error 0.223752 mean_absolute_error 0.041426 mean_absolute_error 0.293564 mean_absolute_error 0.216381 mean_absolute_error 0.509743 mean_absolute_error 0.148337 mean_absolute_error 0.212678 mean_absolute_error 0.247571 mean_absolute_error 0.350831 mean_absolute_error 0.315981 mean_absolute_error 0.181459 mean_absolute_error 0.127014 mean_absolute_error 0.335844 mean_absolute_error 0.253338 mean_absolute_error 0.218226 mean_absolute_error 0.308969 mean_absolute_error 0.304482 mean_absolute_error 0.255604 mean_absolute_error 0.205407 mean_absolute_error 0.181847 mean_absolute_error 0.206631 mean_absolute_error 0.451779 mean_absolute_error 0.401676 mean_absolute_error 0.276298 mean_absolute_error 0.164825 mean_absolute_error 0.404623 mean_absolute_error 0.311956 mean_absolute_error 0.12395 mean_absolute_error 0.132485 mean_absolute_error 0.398794 mean_absolute_error 0.332109 mean_absolute_error 0.300924 mean_absolute_error 0.222745 mean_absolute_error 0.212586 mean_absolute_error 0.367463 mean_absolute_error 0.186497 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] precision 0.6 [0.5,0.666667] precision 0.857143 [0.714286,1] precision 0.5 [0.5,0.5] precision 0.916667 [0.833333,1] precision 0.8 [0.75,0.833333] precision 0.857143 [1,0.714286] precision 0.5 [0.5,0.5] precision 0.72 [0.6,0.8] precision 0.916667 [1,0.833333] precision 0.916667 [0.833333,1] precision 0.72 [0.6,0.8] precision 0.8 [0.8,0.8] precision 0.857143 [1,0.714286] precision 0.857143 [1,0.714286] precision 0.8 [0.75,0.833333] precision 0.708333 [0.666667,0.75] precision 0.8 [0.8,0.8] precision 1 [1,1] precision 0.5 [0.5,0.5] precision 0.708333 [0.666667,0.75] precision 0.695238 [0.666667,0.714286] precision 0.708333 [0.666667,0.75] precision 0.6 [0.6,0.6] precision 0.619048 [0.666667,0.571429] precision 0.52 [0.4,0.6] precision 0.708333 [0.75,0.666667] precision 0.8 [0.8,0.8] precision 0.914286 [1,0.857143] precision 0.8 [0.8,0.8] precision 0.8125 [1,0.625] precision 0.6 [0.5,0.666667] precision 0.5 [0.5,0.5] precision 0.708333 [0.666667,0.75] precision 0.857143 [0.714286,1] precision 0.8 [0.75,0.833333] precision 0.916667 [0.833333,1] precision 0.6 [0.6,0.6] precision 0.52 [0.4,0.6] precision 0.916667 [0.833333,1] precision 0.619048 [0.666667,0.571429] precision 0.72 [0.6,0.8] precision 0.916667 [1,0.833333] precision 0.708333 [0.75,0.666667] precision 0.708333 [0.75,0.666667] precision 0.6 [0.5,0.666667] precision 0.619048 [0.666667,0.571429] precision 0.708333 [0.666667,0.75] precision 0.65 [0.5,0.75] precision 0.8125 [1,0.625] precision 1 [1,1] precision 0.8 [0.8,0.8] precision 0.72 [0.6,0.8] precision 0.65 [0.5,0.75] precision 0.695238 [0.666667,0.714286] precision 0.8 [0.8,0.8] precision 0.92 [0.8,1] precision 0.65 [0.5,0.75] precision 0.619048 [0.666667,0.571429] precision 0.92 [0.8,1] precision 0.695238 [0.666667,0.714286] precision 0.4 [0.4,0.4] precision 0.914286 [1,0.857143] precision 0.433333 [0.333333,0.5] precision 0.72 [0.6,0.8] precision 0.8 [0.8,0.8] precision 1 [1,1] precision 0.8 [0.75,0.833333] precision 0.8 [0.8,0.8] precision 0.777778 [0.444444,1] precision 0.92 [0.8,1] precision 0.8 [0.8,0.8] precision 0.8 [0.75,0.833333] precision 0.65 [0.5,0.75] precision 0.866667 [0.666667,1] precision 0.916667 [1,0.833333] precision 1 [1,1] precision 0.866667 [0.666667,1] precision 0.8 [0.8,0.8] precision 0.8 [0.75,0.833333] precision 0.828571 [0.571429,1] precision 0.708333 [0.666667,0.75] precision 0.828571 [0.571429,1] precision 0.85 [1,0.75] precision 0.914286 [1,0.857143] precision 0.857143 [0.714286,1] precision 0.6 [0.5,0.666667] precision 0.575 [0.5,0.625] precision 0.857143 [1,0.714286] precision 0.92 [0.8,1] precision 0.6 [0.5,0.666667] precision 0.708333 [0.75,0.666667] precision 0.92 [0.8,1] precision 0.914286 [1,0.857143] precision 0.65 [0.5,0.75] precision 0.708333 [0.666667,0.75] precision 0.72 [0.6,0.8] precision 0.8 [0.75,0.833333] precision 0.8 [0.8,0.8] precision 0.8 [1,0.666667] precision 0.914286 [1,0.857143] predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.5 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.5 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 1 predictive_accuracy 0.5 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.9 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 1 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.4 predictive_accuracy 0.9 predictive_accuracy 0.4 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 1 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.5 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 1 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.9 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 recall 0.6 [0.5,0.666667] recall 0.8 [1,0.6] recall 0.5 [0.6,0.4] recall 0.9 [1,0.8] recall 0.8 [0.75,0.833333] recall 0.8 [0.6,1] recall 0.5 [0.8,0.2] recall 0.7 [0.75,0.666667] recall 0.9 [0.8,1] recall 0.9 [1,0.8] recall 0.7 [0.75,0.666667] recall 0.8 [0.8,0.8] recall 0.8 [0.6,1] recall 0.8 [0.6,1] recall 0.8 [0.75,0.833333] recall 0.7 [0.8,0.6] recall 0.8 [0.8,0.8] recall 1 [1,1] recall 0.5 [0.4,0.6] recall 0.7 [0.8,0.6] recall 0.7 [0.5,0.833333] recall 0.7 [0.8,0.6] recall 0.6 [0.6,0.6] recall 0.6 [0.4,0.8] recall 0.5 [0.5,0.5] recall 0.7 [0.6,0.8] recall 0.8 [0.8,0.8] recall 0.9 [0.75,1] recall 0.8 [0.8,0.8] recall 0.7 [0.4,1] recall 0.6 [0.5,0.666667] recall 0.5 [0.2,0.8] recall 0.7 [0.8,0.6] recall 0.8 [1,0.6] recall 0.8 [0.75,0.833333] recall 0.9 [1,0.8] recall 0.6 [0.6,0.6] recall 0.5 [0.5,0.5] recall 0.9 [1,0.8] recall 0.6 [0.4,0.8] recall 0.7 [0.75,0.666667] recall 0.9 [0.8,1] recall 0.7 [0.6,0.8] recall 0.7 [0.6,0.8] recall 0.6 [0.5,0.666667] recall 0.6 [0.4,0.8] recall 0.7 [0.8,0.6] recall 0.6 [0.75,0.5] recall 0.7 [0.4,1] recall 1 [1,1] recall 0.8 [0.8,0.8] recall 0.7 [0.75,0.666667] recall 0.6 [0.75,0.5] recall 0.7 [0.5,0.833333] recall 0.8 [0.8,0.8] recall 0.9 [1,0.833333] recall 0.6 [0.75,0.5] recall 0.6 [0.4,0.8] recall 0.9 [1,0.833333] recall 0.7 [0.5,0.833333] recall 0.4 [0.4,0.4] recall 0.9 [0.75,1] recall 0.4 [0.5,0.333333] recall 0.7 [0.75,0.666667] recall 0.8 [0.8,0.8] recall 1 [1,1] recall 0.8 [0.75,0.833333] recall 0.8 [0.8,0.8] recall 0.5 [1,0.166667] recall 0.9 [1,0.833333] recall 0.8 [0.8,0.8] recall 0.8 [0.75,0.833333] recall 0.6 [0.75,0.5] recall 0.8 [1,0.666667] recall 0.9 [0.8,1] recall 1 [1,1] recall 0.8 [1,0.666667] recall 0.8 [0.8,0.8] recall 0.8 [0.75,0.833333] recall 0.7 [1,0.5] recall 0.7 [0.8,0.6] recall 0.7 [1,0.5] recall 0.8 [0.5,1] recall 0.9 [0.75,1] recall 0.8 [1,0.6] recall 0.6 [0.5,0.666667] recall 0.6 [0.25,0.833333] recall 0.8 [0.6,1] recall 0.9 [1,0.833333] recall 0.6 [0.5,0.666667] recall 0.7 [0.6,0.8] recall 0.9 [1,0.833333] recall 0.9 [0.75,1] recall 0.6 [0.75,0.5] recall 0.7 [0.8,0.6] recall 0.7 [0.75,0.666667] recall 0.8 [0.75,0.833333] recall 0.8 [0.8,0.8] recall 0.7 [0.25,1] recall 0.9 [0.75,1] relative_absolute_error 0.882361 relative_absolute_error 0.451003 relative_absolute_error 0.960128 relative_absolute_error 0.367433 relative_absolute_error 0.484061 relative_absolute_error 0.488599 relative_absolute_error 0.871732 relative_absolute_error 0.639862 relative_absolute_error 0.344753 relative_absolute_error 0.297648 relative_absolute_error 0.622762 relative_absolute_error 0.513901 relative_absolute_error 0.57872 relative_absolute_error 0.532643 relative_absolute_error 0.495762 relative_absolute_error 0.587605 relative_absolute_error 0.515307 relative_absolute_error 0.300621 relative_absolute_error 0.829387 relative_absolute_error 0.522945 relative_absolute_error 0.626189 relative_absolute_error 0.563856 relative_absolute_error 0.913517 relative_absolute_error 0.775013 relative_absolute_error 0.834731 relative_absolute_error 0.636739 relative_absolute_error 0.469989 relative_absolute_error 0.273976 relative_absolute_error 0.488749 relative_absolute_error 0.660245 relative_absolute_error 0.695403 relative_absolute_error 0.876922 relative_absolute_error 0.810984 relative_absolute_error 0.374328 relative_absolute_error 0.37371 relative_absolute_error 0.257009 relative_absolute_error 0.707834 relative_absolute_error 1.01672 relative_absolute_error 0.438417 relative_absolute_error 0.763609 relative_absolute_error 0.669186 relative_absolute_error 0.397827 relative_absolute_error 0.5442 relative_absolute_error 0.626043 relative_absolute_error 0.839301 relative_absolute_error 0.741647 relative_absolute_error 0.63335 relative_absolute_error 0.808615 relative_absolute_error 0.594518 relative_absolute_error 0.197128 relative_absolute_error 0.492563 relative_absolute_error 0.656133 relative_absolute_error 0.799968 relative_absolute_error 0.56564 relative_absolute_error 0.479757 relative_absolute_error 0.316829 relative_absolute_error 0.785489 relative_absolute_error 0.852462 relative_absolute_error 0.273418 relative_absolute_error 0.579718 relative_absolute_error 1.022364 relative_absolute_error 0.507557 relative_absolute_error 1.170957 relative_absolute_error 0.598023 relative_absolute_error 0.447504 relative_absolute_error 0.084508 relative_absolute_error 0.598871 relative_absolute_error 0.432763 relative_absolute_error 1.039875 relative_absolute_error 0.302607 relative_absolute_error 0.425356 relative_absolute_error 0.505045 relative_absolute_error 0.715694 relative_absolute_error 0.644601 relative_absolute_error 0.362917 relative_absolute_error 0.259108 relative_absolute_error 0.685121 relative_absolute_error 0.506675 relative_absolute_error 0.44518 relative_absolute_error 0.630298 relative_absolute_error 0.608964 relative_absolute_error 0.521432 relative_absolute_error 0.41903 relative_absolute_error 0.370968 relative_absolute_error 0.413261 relative_absolute_error 0.92163 relative_absolute_error 0.819419 relative_absolute_error 0.552596 relative_absolute_error 0.336243 relative_absolute_error 0.825431 relative_absolute_error 0.623912 relative_absolute_error 0.252858 relative_absolute_error 0.27027 relative_absolute_error 0.81354 relative_absolute_error 0.664218 relative_absolute_error 0.613885 relative_absolute_error 0.454399 relative_absolute_error 0.425172 relative_absolute_error 0.749624 relative_absolute_error 0.380455 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 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