421651 2 Joaquin Vanschoren 4280 Supervised Classification predictive_accuracy 1192 weka.MultiBoostAB_DecisionStump(3) 2050 weka.classifiers.meta.MultiBoostAB -- -C 3 -P 100 -S 1 -I 160 -W weka.classifiers.trees.DecisionStump C 3 1192 P 100 1192 S 1 1192 I 160 1192 W weka.classifiers.trees.DecisionStump 1192 weka weka_3.7.12 682 sleuth_ex2016 https://www.openml.org/data/download/52982/sleuth_ex2016.arff -1 1473879 description https://api.openml.org/data/download/1473879/weka_generated_run4999295059641611809.xml -1 1473882 model_readable https://api.openml.org/data/download/1473882/WekaModel_weka.classifiers.meta.MultiBoostAB828275002983615408.model -1 1473881 model_serialized https://api.openml.org/data/download/1473881/WekaSerialized_weka.classifiers.meta.MultiBoostAB2247167942742821632.model -1 1473880 predictions https://api.openml.org/data/download/1473880/weka_generated_predictions6762320406744950919.arff area_under_roc_curve 0.776185 [0.776185,0.776185] average_cost 0 f_measure 0.733441 [0.772102,0.67867] kappa 0.450776 kb_relative_information_score 381.381276 mean_absolute_error 0.269841 mean_prior_absolute_error 0.485471 number_of_instances 870 [510,360] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.733556 [0.773622,0.676796] predictive_accuracy 0.733333 prior_entropy 0.979412 recall 0.733333 [0.770588,0.680556] relative_absolute_error 0.555833 root_mean_prior_squared_error 0.492516 root_mean_squared_error 0.490583 root_relative_squared_error 0.996076 scimark_benchmark 938.311492 [554.431243089541, 1001.0155513775524, 479.99187728791736, 904.5686674515777, 1751.5501218345944] total_cost 0 usercpu_time_millis 40 usercpu_time_millis_testing 0 usercpu_time_millis_training 40 area_under_roc_curve 0.95 [0.95,0.95] area_under_roc_curve 0.861111 [0.861111,0.861111] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.527778 [0.527778,0.527778] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.675 [0.675,0.675] area_under_roc_curve 0.95 [0.95,0.95] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.4 [0.4,0.4] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.85 [0.85,0.85] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.95 [0.95,0.95] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.575 [0.575,0.575] area_under_roc_curve 0.675 [0.675,0.675] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.95 [0.95,0.95] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.725 [0.725,0.725] area_under_roc_curve 0.725 [0.725,0.725] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.95 [0.95,0.95] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.725 [0.725,0.725] area_under_roc_curve 0.675 [0.675,0.675] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.825 [0.825,0.825] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.675 [0.675,0.675] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.85 [0.85,0.85] area_under_roc_curve 0.85 [0.85,0.85] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.888889 [0.888889,0.888889] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.611111 [0.611111,0.611111] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.675 [0.675,0.675] area_under_roc_curve 0.944444 [0.944444,0.944444] area_under_roc_curve 0.95 [0.95,0.95] area_under_roc_curve 0.555556 [0.555556,0.555556] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.866667 [0.866667,0.866667] area_under_roc_curve 0.733333 [0.733333,0.733333] area_under_roc_curve 0.733333 [0.733333,0.733333] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.733333 [0.733333,0.733333] area_under_roc_curve 0.933333 [0.933333,0.933333] area_under_roc_curve 0.633333 [0.633333,0.633333] area_under_roc_curve 0.866667 [0.866667,0.866667] area_under_roc_curve 0.933333 [0.933333,0.933333] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.466667 [0.466667,0.466667] area_under_roc_curve 0.366667 [0.366667,0.366667] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.766667 [0.766667,0.766667] area_under_roc_curve 0.866667 [0.866667,0.866667] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.866667 [0.866667,0.866667] area_under_roc_curve 0.733333 [0.733333,0.733333] area_under_roc_curve 0.466667 [0.466667,0.466667] area_under_roc_curve 0.466667 [0.466667,0.466667] area_under_roc_curve 0.866667 [0.866667,0.866667] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.933333 [0.933333,0.933333] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.933333 [0.933333,0.933333] area_under_roc_curve 0.933333 [0.933333,0.933333] area_under_roc_curve 0.633333 [0.633333,0.633333] area_under_roc_curve 0.866667 [0.866667,0.866667] area_under_roc_curve 0.866667 [0.866667,0.866667] area_under_roc_curve 0.866667 [0.866667,0.866667] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.772222 [0.75,0.8] f_measure 0.891775 [0.909091,0.857143] f_measure 0.772222 [0.75,0.8] f_measure 0.738095 [0.857143,0.5] f_measure 0.666667 [0.666667,0.666667] f_measure 0.882051 [0.923077,0.8] f_measure 0.555556 [0.6,0.5] f_measure 0.555556 [0.666667,0.333333] f_measure 0.658009 [0.727273,0.571429] f_measure 1 [1,1] f_measure 0.777778 [0.8,0.75] f_measure 0.888889 [0.888889,0.888889] f_measure 0.888889 [0.888889,0.888889] f_measure 0.888889 [0.888889,0.888889] f_measure 0.888889 [0.888889,0.888889] f_measure 0.430014 [0.545455,0.285714] f_measure 0.759259 [0.833333,0.666667] f_measure 0.777778 [0.8,0.75] f_measure 0.430014 [0.545455,0.285714] f_measure 0.759259 [0.833333,0.666667] f_measure 0.777778 [0.8,0.75] f_measure 0.888889 [0.888889,0.888889] f_measure 0.759259 [0.833333,0.666667] f_measure 0.777778 [0.8,0.75] f_measure 0.759259 [0.833333,0.666667] f_measure 0.518519 [0.666667,0.333333] f_measure 0.555556 [0.6,0.5] f_measure 0.555556 [0.6,0.5] f_measure 0.666667 [0.666667,0.666667] f_measure 0.640693 [0.571429,0.727273] f_measure 0.555556 [0.6,0.5] f_measure 0.658009 [0.727273,0.571429] f_measure 0.605128 [0.769231,0.4] f_measure 0.640693 [0.571429,0.727273] f_measure 0.759259 [0.833333,0.666667] f_measure 1 [1,1] f_measure 0.886003 [0.909091,0.857143] f_measure 0.666667 [0.666667,0.666667] f_measure 1 [1,1] f_measure 0.666667 [0.666667,0.666667] f_measure 0.886003 [0.909091,0.857143] f_measure 0.555556 [0.6,0.5] f_measure 0.640693 [0.571429,0.727273] f_measure 0.658009 [0.727273,0.571429] f_measure 0.759259 [0.833333,0.666667] f_measure 0.658009 [0.727273,0.571429] f_measure 0.658009 [0.727273,0.571429] f_measure 0.772222 [0.75,0.8] f_measure 0.886003 [0.909091,0.857143] f_measure 0.777778 [0.8,0.75] f_measure 0.888889 [0.888889,0.888889] f_measure 0.658009 [0.727273,0.571429] f_measure 0.777778 [0.8,0.75] f_measure 0.640693 [0.571429,0.727273] f_measure 0.777778 [0.8,0.75] f_measure 0.777778 [0.8,0.75] f_measure 0.886003 [0.909091,0.857143] f_measure 0.759259 [0.833333,0.666667] f_measure 0.777778 [0.8,0.75] f_measure 0.759259 [0.833333,0.666667] f_measure 0.777778 [0.833333,0.666667] f_measure 0.666667 [0.666667,0.666667] f_measure 0.555556 [0.666667,0.333333] f_measure 0.658009 [0.727273,0.571429] f_measure 0.666667 [0.666667,0.666667] f_measure 0.772222 [0.75,0.8] f_measure 0.777778 [0.833333,0.666667] f_measure 0.777778 [0.8,0.75] f_measure 0.646154 [0.769231,0.4] f_measure 0.772222 [0.75,0.8] f_measure 0.876984 [0.888889,0.857143] f_measure 0.868182 [0.909091,0.8] f_measure 0.75 [0.8,0.666667] f_measure 0.604545 [0.727273,0.4] f_measure 0.607143 [0.571429,0.666667] f_measure 0.868182 [0.909091,0.8] f_measure 0.75 [0.8,0.666667] f_measure 0.75 [0.75,0.75] f_measure 0.75 [0.8,0.666667] f_measure 0.708333 [0.833333,0.5] f_measure 0.416667 [0.666667,0] f_measure 0.340909 [0.545455,0] f_measure 0.876984 [0.888889,0.857143] f_measure 0.75 [0.8,0.666667] f_measure 0.876984 [0.888889,0.857143] f_measure 0.416667 [0.666667,0] f_measure 0.75 [0.75,0.75] f_measure 0.75 [0.8,0.666667] f_measure 0.5 [0.6,0.333333] f_measure 0.5 [0.6,0.333333] f_measure 0.630952 [0.666667,0.571429] f_measure 0.75 [0.75,0.75] f_measure 0.868182 [0.909091,0.8] f_measure 0.630952 [0.666667,0.571429] f_measure 0.868182 [0.909091,0.8] f_measure 0.876984 [0.888889,0.857143] f_measure 0.630952 [0.666667,0.571429] f_measure 0.604545 [0.727273,0.4] f_measure 0.75 [0.8,0.666667] f_measure 0.75 [0.8,0.666667] kappa 0.571429 kappa 0.769231 kappa 0.571429 kappa 0.4 kappa 0.4 kappa 0.727273 kappa 0.1 kappa 0 kappa 0.307692 kappa 1 kappa 0.55 kappa 0.780488 kappa 0.780488 kappa 0.780488 kappa 0.780488 kappa -0.153846 kappa 0.526316 kappa 0.55 kappa -0.153846 kappa 0.526316 kappa 0.55 kappa 0.780488 kappa 0.526316 kappa 0.55 kappa 0.526316 kappa 0.052632 kappa 0.1 kappa 0.1 kappa 0.341463 kappa 0.372093 kappa 0.1 kappa 0.307692 kappa 0.27027 kappa 0.372093 kappa 0.526316 kappa 1 kappa 0.769231 kappa 0.341463 kappa 1 kappa 0.341463 kappa 0.769231 kappa 0.1 kappa 0.372093 kappa 0.307692 kappa 0.526316 kappa 0.307692 kappa 0.307692 kappa 0.571429 kappa 0.769231 kappa 0.55 kappa 0.780488 kappa 0.307692 kappa 0.55 kappa 0.372093 kappa 0.55 kappa 0.55 kappa 0.769231 kappa 0.526316 kappa 0.55 kappa 0.526316 kappa 0.5 kappa 0.341463 kappa 0 kappa 0.307692 kappa 0.341463 kappa 0.571429 kappa 0.5 kappa 0.55 kappa 0.181818 kappa 0.571429 kappa 0.75 kappa 0.714286 kappa 0.466667 kappa 0.142857 kappa 0.333333 kappa 0.714286 kappa 0.466667 kappa 0.529412 kappa 0.466667 kappa 0.384615 kappa -0.230769 kappa -0.428571 kappa 0.75 kappa 0.466667 kappa 0.75 kappa -0.230769 kappa 0.529412 kappa 0.466667 kappa -0.066667 kappa -0.066667 kappa 0.25 kappa 0.529412 kappa 0.714286 kappa 0.25 kappa 0.714286 kappa 0.75 kappa 0.25 kappa 0.142857 kappa 0.466667 kappa 0.466667 kb_relative_information_score 5.478421 kb_relative_information_score 6.457823 kb_relative_information_score 4.869896 kb_relative_information_score 4.419786 kb_relative_information_score 2.956484 kb_relative_information_score 6.53254 kb_relative_information_score 0.022593 kb_relative_information_score 1.381736 kb_relative_information_score 1.721523 kb_relative_information_score 8.416437 kb_relative_information_score 3.598606 kb_relative_information_score 6.810596 kb_relative_information_score 6.166552 kb_relative_information_score 7.174028 kb_relative_information_score 7.142474 kb_relative_information_score -1.293324 kb_relative_information_score 5.569592 kb_relative_information_score 4.712184 kb_relative_information_score -0.539885 kb_relative_information_score 3.842651 kb_relative_information_score 5.578257 kb_relative_information_score 6.108953 kb_relative_information_score 4.925789 kb_relative_information_score 5.610352 kb_relative_information_score 4.789314 kb_relative_information_score 2.375186 kb_relative_information_score 0.26398 kb_relative_information_score 1.686718 kb_relative_information_score 2.877399 kb_relative_information_score 2.886567 kb_relative_information_score 1.014651 kb_relative_information_score 2.865557 kb_relative_information_score 2.870646 kb_relative_information_score 3.222018 kb_relative_information_score 4.818884 kb_relative_information_score 9.092123 kb_relative_information_score 6.416294 kb_relative_information_score 2.716831 kb_relative_information_score 8.857501 kb_relative_information_score 2.750953 kb_relative_information_score 6.586077 kb_relative_information_score 1.509223 kb_relative_information_score 3.17462 kb_relative_information_score 4.109202 kb_relative_information_score 4.882694 kb_relative_information_score 2.887337 kb_relative_information_score 3.365759 kb_relative_information_score 4.287267 kb_relative_information_score 6.985844 kb_relative_information_score 3.411196 kb_relative_information_score 4.498945 kb_relative_information_score 2.582078 kb_relative_information_score 4.479633 kb_relative_information_score 2.973023 kb_relative_information_score 4.493318 kb_relative_information_score 4.792965 kb_relative_information_score 6.726781 kb_relative_information_score 4.276477 kb_relative_information_score 4.206632 kb_relative_information_score 4.94094 kb_relative_information_score 4.417289 kb_relative_information_score 2.941634 kb_relative_information_score -0.228358 kb_relative_information_score 3.808631 kb_relative_information_score 2.628856 kb_relative_information_score 4.160085 kb_relative_information_score 4.571081 kb_relative_information_score 5.314279 kb_relative_information_score 1.53586 kb_relative_information_score 5.303577 kb_relative_information_score 5.465862 kb_relative_information_score 5.677861 kb_relative_information_score 4.183755 kb_relative_information_score 1.940913 kb_relative_information_score 0.693905 kb_relative_information_score 5.310673 kb_relative_information_score 3.631476 kb_relative_information_score 3.461792 kb_relative_information_score 4.320172 kb_relative_information_score 3.675922 kb_relative_information_score -0.767912 kb_relative_information_score -0.474826 kb_relative_information_score 4.762666 kb_relative_information_score 3.734605 kb_relative_information_score 5.706512 kb_relative_information_score 0.392645 kb_relative_information_score 3.413017 kb_relative_information_score 3.288537 kb_relative_information_score -0.47138 kb_relative_information_score 0.073441 kb_relative_information_score 1.940434 kb_relative_information_score 3.953649 kb_relative_information_score 4.924682 kb_relative_information_score 2.699095 kb_relative_information_score 5.644793 kb_relative_information_score 5.733201 kb_relative_information_score 2.11894 kb_relative_information_score 2.116724 kb_relative_information_score 3.670538 kb_relative_information_score 3.76795 mean_absolute_error 0.191698 mean_absolute_error 0.117525 mean_absolute_error 0.228778 mean_absolute_error 0.225167 mean_absolute_error 0.29352 mean_absolute_error 0.111956 mean_absolute_error 0.487509 mean_absolute_error 0.384782 mean_absolute_error 0.401903 mean_absolute_error 0.014902 mean_absolute_error 0.311612 mean_absolute_error 0.12807 mean_absolute_error 0.167301 mean_absolute_error 0.103505 mean_absolute_error 0.112068 mean_absolute_error 0.555587 mean_absolute_error 0.18351 mean_absolute_error 0.239455 mean_absolute_error 0.5079 mean_absolute_error 0.293987 mean_absolute_error 0.188391 mean_absolute_error 0.165693 mean_absolute_error 0.22482 mean_absolute_error 0.178637 mean_absolute_error 0.234424 mean_absolute_error 0.350117 mean_absolute_error 0.476446 mean_absolute_error 0.389675 mean_absolute_error 0.333234 mean_absolute_error 0.332545 mean_absolute_error 0.433875 mean_absolute_error 0.334123 mean_absolute_error 0.333743 mean_absolute_error 0.310078 mean_absolute_error 0.232412 mean_absolute_error 0.002798 mean_absolute_error 0.149805 mean_absolute_error 0.340111 mean_absolute_error 0.018912 mean_absolute_error 0.342386 mean_absolute_error 0.143438 mean_absolute_error 0.401228 mean_absolute_error 0.313181 mean_absolute_error 0.264917 mean_absolute_error 0.227985 mean_absolute_error 0.332491 mean_absolute_error 0.301692 mean_absolute_error 0.265947 mean_absolute_error 0.115491 mean_absolute_error 0.310372 mean_absolute_error 0.251501 mean_absolute_error 0.353428 mean_absolute_error 0.253867 mean_absolute_error 0.326288 mean_absolute_error 0.25157 mean_absolute_error 0.232937 mean_absolute_error 0.133818 mean_absolute_error 0.263329 mean_absolute_error 0.270473 mean_absolute_error 0.223693 mean_absolute_error 0.225339 mean_absolute_error 0.32853 mean_absolute_error 0.466177 mean_absolute_error 0.282367 mean_absolute_error 0.351186 mean_absolute_error 0.269811 mean_absolute_error 0.214082 mean_absolute_error 0.199888 mean_absolute_error 0.388768 mean_absolute_error 0.201018 mean_absolute_error 0.147098 mean_absolute_error 0.131251 mean_absolute_error 0.22109 mean_absolute_error 0.34701 mean_absolute_error 0.437389 mean_absolute_error 0.159027 mean_absolute_error 0.25303 mean_absolute_error 0.266153 mean_absolute_error 0.20502 mean_absolute_error 0.249326 mean_absolute_error 0.520468 mean_absolute_error 0.488673 mean_absolute_error 0.184702 mean_absolute_error 0.244514 mean_absolute_error 0.128843 mean_absolute_error 0.44104 mean_absolute_error 0.270094 mean_absolute_error 0.280067 mean_absolute_error 0.498651 mean_absolute_error 0.460254 mean_absolute_error 0.347227 mean_absolute_error 0.228078 mean_absolute_error 0.177953 mean_absolute_error 0.302451 mean_absolute_error 0.133782 mean_absolute_error 0.126592 mean_absolute_error 0.340534 mean_absolute_error 0.336651 mean_absolute_error 0.249757 mean_absolute_error 0.245943 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 number_of_instances 9 [5,4] number_of_instances 9 [6,3] number_of_instances 9 [5,4] number_of_instances 9 [6,3] number_of_instances 9 [6,3] number_of_instances 9 [6,3] number_of_instances 9 [5,4] number_of_instances 9 [6,3] number_of_instances 9 [5,4] number_of_instances 9 [6,3] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [6,3] number_of_instances 9 [5,4] number_of_instances 9 [6,3] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [6,3] number_of_instances 9 [5,4] number_of_instances 9 [6,3] number_of_instances 9 [5,4] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] precision 0.851852 [1,0.666667] precision 0.916667 [1,0.75] precision 0.851852 [1,0.666667] precision 0.833333 [0.75,1] precision 0.833333 [1,0.5] precision 0.904762 [0.857143,1] precision 0.555556 [0.6,0.5] precision 0.555556 [0.666667,0.333333] precision 0.666667 [0.666667,0.666667] precision 1 [1,1] precision 0.777778 [0.8,0.75] precision 0.911111 [1,0.8] precision 0.911111 [1,0.8] precision 0.911111 [1,0.8] precision 0.911111 [1,0.8] precision 0.425926 [0.5,0.333333] precision 0.84127 [0.714286,1] precision 0.777778 [0.8,0.75] precision 0.425926 [0.5,0.333333] precision 0.84127 [0.714286,1] precision 0.777778 [0.8,0.75] precision 0.911111 [1,0.8] precision 0.84127 [0.714286,1] precision 0.777778 [0.8,0.75] precision 0.84127 [0.714286,1] precision 0.539683 [0.571429,0.5] precision 0.555556 [0.6,0.5] precision 0.555556 [0.6,0.5] precision 0.683333 [0.75,0.6] precision 0.809524 [1,0.571429] precision 0.555556 [0.6,0.5] precision 0.666667 [0.666667,0.666667] precision 0.791667 [0.625,1] precision 0.809524 [1,0.571429] precision 0.84127 [0.714286,1] precision 1 [1,1] precision 0.907407 [0.833333,1] precision 0.683333 [0.75,0.6] precision 1 [1,1] precision 0.683333 [0.75,0.6] precision 0.907407 [0.833333,1] precision 0.555556 [0.6,0.5] precision 0.809524 [1,0.571429] precision 0.666667 [0.666667,0.666667] precision 0.84127 [0.714286,1] precision 0.666667 [0.666667,0.666667] precision 0.666667 [0.666667,0.666667] precision 0.851852 [1,0.666667] precision 0.907407 [0.833333,1] precision 0.777778 [0.8,0.75] precision 0.911111 [1,0.8] precision 0.666667 [0.666667,0.666667] precision 0.777778 [0.8,0.75] precision 0.809524 [1,0.571429] precision 0.777778 [0.8,0.75] precision 0.777778 [0.8,0.75] precision 0.907407 [0.833333,1] precision 0.84127 [0.714286,1] precision 0.777778 [0.8,0.75] precision 0.84127 [0.714286,1] precision 0.777778 [0.833333,0.666667] precision 0.683333 [0.75,0.6] precision 0.555556 [0.666667,0.333333] precision 0.666667 [0.666667,0.666667] precision 0.683333 [0.75,0.6] precision 0.851852 [1,0.666667] precision 0.777778 [0.833333,0.666667] precision 0.777778 [0.8,0.75] precision 0.642857 [0.714286,0.5] precision 0.851852 [1,0.666667] precision 0.90625 [1,0.75] precision 0.895833 [0.833333,1] precision 0.75 [0.8,0.666667] precision 0.604167 [0.666667,0.5] precision 0.8125 [1,0.5] precision 0.895833 [0.833333,1] precision 0.75 [0.8,0.666667] precision 0.85 [1,0.6] precision 0.75 [0.8,0.666667] precision 0.821429 [0.714286,1] precision 0.357143 [0.571429,0] precision 0.3125 [0.5,0] precision 0.90625 [1,0.75] precision 0.75 [0.8,0.666667] precision 0.90625 [1,0.75] precision 0.357143 [0.571429,0] precision 0.85 [1,0.6] precision 0.75 [0.8,0.666667] precision 0.5 [0.6,0.333333] precision 0.5 [0.6,0.333333] precision 0.65625 [0.75,0.5] precision 0.85 [1,0.6] precision 0.895833 [0.833333,1] precision 0.65625 [0.75,0.5] precision 0.895833 [0.833333,1] precision 0.90625 [1,0.75] precision 0.65625 [0.75,0.5] precision 0.604167 [0.666667,0.5] precision 0.75 [0.8,0.666667] precision 0.75 [0.8,0.666667] predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.888889 predictive_accuracy 0.555556 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 1 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.888889 predictive_accuracy 0.888889 predictive_accuracy 0.888889 predictive_accuracy 0.444444 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.444444 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.555556 predictive_accuracy 0.555556 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 1 predictive_accuracy 0.888889 predictive_accuracy 0.666667 predictive_accuracy 1 predictive_accuracy 0.666667 predictive_accuracy 0.888889 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.875 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.5 predictive_accuracy 0.375 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.875 predictive_accuracy 0.5 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.875 predictive_accuracy 0.625 predictive_accuracy 0.875 predictive_accuracy 0.875 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.75 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 recall 0.777778 [0.6,1] recall 0.888889 [0.833333,1] recall 0.777778 [0.6,1] recall 0.777778 [1,0.333333] recall 0.666667 [0.5,1] recall 0.888889 [1,0.666667] recall 0.555556 [0.6,0.5] recall 0.555556 [0.666667,0.333333] recall 0.666667 [0.8,0.5] recall 1 [1,1] recall 0.777778 [0.8,0.75] recall 0.888889 [0.8,1] recall 0.888889 [0.8,1] recall 0.888889 [0.8,1] recall 0.888889 [0.8,1] recall 0.444444 [0.6,0.25] recall 0.777778 [1,0.5] recall 0.777778 [0.8,0.75] recall 0.444444 [0.6,0.25] recall 0.777778 [1,0.5] recall 0.777778 [0.8,0.75] recall 0.888889 [0.8,1] recall 0.777778 [1,0.5] recall 0.777778 [0.8,0.75] recall 0.777778 [1,0.5] recall 0.555556 [0.8,0.25] recall 0.555556 [0.6,0.5] recall 0.555556 [0.6,0.5] recall 0.666667 [0.6,0.75] recall 0.666667 [0.4,1] recall 0.555556 [0.6,0.5] recall 0.666667 [0.8,0.5] recall 0.666667 [1,0.25] recall 0.666667 [0.4,1] recall 0.777778 [1,0.5] recall 1 [1,1] recall 0.888889 [1,0.75] recall 0.666667 [0.6,0.75] recall 1 [1,1] recall 0.666667 [0.6,0.75] recall 0.888889 [1,0.75] recall 0.555556 [0.6,0.5] recall 0.666667 [0.4,1] recall 0.666667 [0.8,0.5] recall 0.777778 [1,0.5] recall 0.666667 [0.8,0.5] recall 0.666667 [0.8,0.5] recall 0.777778 [0.6,1] recall 0.888889 [1,0.75] recall 0.777778 [0.8,0.75] recall 0.888889 [0.8,1] recall 0.666667 [0.8,0.5] recall 0.777778 [0.8,0.75] recall 0.666667 [0.4,1] recall 0.777778 [0.8,0.75] recall 0.777778 [0.8,0.75] recall 0.888889 [1,0.75] recall 0.777778 [1,0.5] recall 0.777778 [0.8,0.75] recall 0.777778 [1,0.5] recall 0.777778 [0.833333,0.666667] recall 0.666667 [0.6,0.75] recall 0.555556 [0.666667,0.333333] recall 0.666667 [0.8,0.5] recall 0.666667 [0.6,0.75] recall 0.777778 [0.6,1] recall 0.777778 [0.833333,0.666667] recall 0.777778 [0.8,0.75] recall 0.666667 [0.833333,0.333333] recall 0.777778 [0.6,1] recall 0.875 [0.8,1] recall 0.875 [1,0.666667] recall 0.75 [0.8,0.666667] recall 0.625 [0.8,0.333333] recall 0.625 [0.4,1] recall 0.875 [1,0.666667] recall 0.75 [0.8,0.666667] recall 0.75 [0.6,1] recall 0.75 [0.8,0.666667] recall 0.75 [1,0.333333] recall 0.5 [0.8,0] recall 0.375 [0.6,0] recall 0.875 [0.8,1] recall 0.75 [0.8,0.666667] recall 0.875 [0.8,1] recall 0.5 [0.8,0] recall 0.75 [0.6,1] recall 0.75 [0.8,0.666667] recall 0.5 [0.6,0.333333] recall 0.5 [0.6,0.333333] recall 0.625 [0.6,0.666667] recall 0.75 [0.6,1] recall 0.875 [1,0.666667] recall 0.625 [0.6,0.666667] recall 0.875 [1,0.666667] recall 0.875 [0.8,1] recall 0.625 [0.6,0.666667] recall 0.625 [0.8,0.333333] recall 0.75 [0.8,0.666667] recall 0.75 [0.8,0.666667] relative_absolute_error 0.390713 relative_absolute_error 0.24904 relative_absolute_error 0.466287 relative_absolute_error 0.477139 relative_absolute_error 0.621983 relative_absolute_error 0.237239 relative_absolute_error 0.993625 relative_absolute_error 0.81537 relative_absolute_error 0.819146 relative_absolute_error 0.031578 relative_absolute_error 0.635117 relative_absolute_error 0.261029 relative_absolute_error 0.340988 relative_absolute_error 0.21096 relative_absolute_error 0.228413 relative_absolute_error 1.132381 relative_absolute_error 0.374024 relative_absolute_error 0.488049 relative_absolute_error 1.035185 relative_absolute_error 0.599194 relative_absolute_error 0.383972 relative_absolute_error 0.33771 relative_absolute_error 0.45822 relative_absolute_error 0.364093 relative_absolute_error 0.477795 relative_absolute_error 0.713597 relative_absolute_error 0.971077 relative_absolute_error 0.794223 relative_absolute_error 0.679187 relative_absolute_error 0.677783 relative_absolute_error 0.884311 relative_absolute_error 0.680999 relative_absolute_error 0.680223 relative_absolute_error 0.63199 relative_absolute_error 0.473695 relative_absolute_error 0.005704 relative_absolute_error 0.305328 relative_absolute_error 0.693203 relative_absolute_error 0.038547 relative_absolute_error 0.697841 relative_absolute_error 0.292351 relative_absolute_error 0.817769 relative_absolute_error 0.638315 relative_absolute_error 0.539946 relative_absolute_error 0.464672 relative_absolute_error 0.677672 relative_absolute_error 0.6149 relative_absolute_error 0.542044 relative_absolute_error 0.235389 relative_absolute_error 0.632591 relative_absolute_error 0.512602 relative_absolute_error 0.720346 relative_absolute_error 0.517424 relative_absolute_error 0.665029 relative_absolute_error 0.512743 relative_absolute_error 0.474765 relative_absolute_error 0.272743 relative_absolute_error 0.536709 relative_absolute_error 0.551268 relative_absolute_error 0.455924 relative_absolute_error 0.477503 relative_absolute_error 0.669599 relative_absolute_error 0.987851 relative_absolute_error 0.575511 relative_absolute_error 0.715776 relative_absolute_error 0.54992 relative_absolute_error 0.45365 relative_absolute_error 0.407405 relative_absolute_error 0.823817 relative_absolute_error 0.409708 relative_absolute_error 0.307138 relative_absolute_error 0.274049 relative_absolute_error 0.46163 relative_absolute_error 0.724549 relative_absolute_error 0.913258 relative_absolute_error 0.332045 relative_absolute_error 0.52832 relative_absolute_error 0.555721 relative_absolute_error 0.428077 relative_absolute_error 0.520588 relative_absolute_error 1.086726 relative_absolute_error 1.020339 relative_absolute_error 0.385654 relative_absolute_error 0.510539 relative_absolute_error 0.269021 relative_absolute_error 0.920881 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