429433 2 Joaquin Vanschoren 4280 Supervised Classification predictive_accuracy 1195 weka.RealAdaBoost_DecisionStump(2) 2061 weka.classifiers.meta.RealAdaBoost -- -P 100 -H 1.0 -S 1 -I 160 -W weka.classifiers.trees.DecisionStump P 100 1195 H 1.0 1195 S 1 1195 I 160 1195 W weka.classifiers.trees.DecisionStump 1195 weka weka_3.7.12 682 sleuth_ex2016 https://www.openml.org/data/download/52982/sleuth_ex2016.arff -1 1499724 description https://api.openml.org/data/download/1499724/weka_generated_run4040252703189071699.xml -1 1499727 model_readable https://api.openml.org/data/download/1499727/WekaModel_weka.classifiers.meta.RealAdaBoost2024149179218972799.model -1 1499726 model_serialized https://api.openml.org/data/download/1499726/WekaSerialized_weka.classifiers.meta.RealAdaBoost8565429776865950258.model -1 1499725 predictions https://api.openml.org/data/download/1499725/weka_generated_predictions7641538674111045480.arff area_under_roc_curve 0.753263 [0.753263,0.753263] average_cost 0 f_measure 0.701387 [0.744094,0.640884] kappa 0.384992 kb_relative_information_score 322.325796 mean_absolute_error 0.30447 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 0.701654 [0.747036,0.637363] predictive_accuracy 0.701149 prior_entropy 0.979412 recall 0.701149 [0.741176,0.644444] relative_absolute_error 0.627164 root_mean_prior_squared_error 0.492516 root_mean_squared_error 0.489713 root_relative_squared_error 0.994309 scimark_benchmark 929.029636 [552.3244181537359, 986.6640759094493, 479.3490265306122, 897.4460789375264, 1729.364580914293] total_cost 0 usercpu_time_millis 10 usercpu_time_millis_testing 0 usercpu_time_millis_training 10 area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.611111 [0.611111,0.611111] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.722222 [0.722222,0.722222] area_under_roc_curve 0.888889 [0.888889,0.888889] area_under_roc_curve 0.861111 [0.861111,0.861111] area_under_roc_curve 0.45 [0.45,0.45] area_under_roc_curve 0.722222 [0.722222,0.722222] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.85 [0.85,0.85] area_under_roc_curve 0.95 [0.95,0.95] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.85 [0.85,0.85] area_under_roc_curve 0.35 [0.35,0.35] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.95 [0.95,0.95] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.95 [0.95,0.95] area_under_roc_curve 0.675 [0.675,0.675] area_under_roc_curve 0.85 [0.85,0.85] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.85 [0.85,0.85] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.45 [0.45,0.45] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.85 [0.85,0.85] area_under_roc_curve 0.925 [0.925,0.925] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.85 [0.85,0.85] area_under_roc_curve 0.95 [0.95,0.95] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.85 [0.85,0.85] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.55 [0.55,0.55] 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 0.75 [0.75,0.75] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.944444 [0.944444,0.944444] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.95 [0.95,0.95] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.533333 [0.533333,0.533333] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.933333 [0.933333,0.933333] area_under_roc_curve 0.633333 [0.633333,0.633333] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.866667 [0.866667,0.866667] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.466667 [0.466667,0.466667] area_under_roc_curve 0.866667 [0.866667,0.866667] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.866667 [0.866667,0.866667] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.933333 [0.933333,0.933333] 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 0.866667 [0.866667,0.866667] area_under_roc_curve 0.933333 [0.933333,0.933333] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.933333 [0.933333,0.933333] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.6 [0.6,0.6] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.666667 [0.666667,0.666667] f_measure 0.566667 [0.6,0.5] f_measure 0.666667 [0.666667,0.666667] f_measure 0.646154 [0.769231,0.4] f_measure 0.783333 [0.8,0.75] f_measure 0.882051 [0.923077,0.8] f_measure 0.444444 [0.444444,0.444444] f_measure 0.555556 [0.666667,0.333333] f_measure 0.658009 [0.727273,0.571429] f_measure 1 [1,1] f_measure 0.518519 [0.666667,0.333333] f_measure 0.640693 [0.571429,0.727273] f_measure 0.777778 [0.8,0.75] f_measure 0.888889 [0.888889,0.888889] f_measure 0.666667 [0.666667,0.666667] f_measure 0.430014 [0.545455,0.285714] 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 0.658009 [0.727273,0.571429] f_measure 0.777778 [0.8,0.75] f_measure 0.777778 [0.8,0.75] 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 0.544444 [0.5,0.6] f_measure 0.658009 [0.727273,0.571429] f_measure 0.666667 [0.666667,0.666667] f_measure 0.640693 [0.571429,0.727273] f_measure 0.277778 [0.5,0] f_measure 0.658009 [0.727273,0.571429] f_measure 0.396825 [0.714286,0] f_measure 0.772222 [0.75,0.8] f_measure 0.759259 [0.833333,0.666667] f_measure 1 [1,1] f_measure 0.777778 [0.8,0.75] f_measure 0.666667 [0.666667,0.666667] f_measure 1 [1,1] f_measure 0.666667 [0.666667,0.666667] f_measure 0.777778 [0.8,0.75] f_measure 0.666667 [0.666667,0.666667] f_measure 0.666667 [0.666667,0.666667] f_measure 0.759259 [0.833333,0.666667] 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 0.544444 [0.5,0.6] f_measure 0.666667 [0.666667,0.666667] f_measure 0.544444 [0.5,0.6] f_measure 0.886003 [0.909091,0.857143] f_measure 0.605128 [0.769231,0.4] f_measure 0.640693 [0.571429,0.727273] f_measure 0.640693 [0.571429,0.727273] f_measure 0.555556 [0.6,0.5] f_measure 0.777778 [0.8,0.75] f_measure 0.666667 [0.666667,0.666667] f_measure 0.658009 [0.727273,0.571429] f_measure 0.759259 [0.833333,0.666667] f_measure 0.605128 [0.769231,0.4] 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 0.666667 [0.666667,0.666667] f_measure 0.777778 [0.833333,0.666667] f_measure 0.777778 [0.8,0.75] f_measure 0.533333 [0.5,0.6] f_measure 0.888889 [0.888889,0.888889] f_measure 0.5 [0.5,0.5] f_measure 0.75 [0.8,0.666667] f_measure 0.75 [0.8,0.666667] f_measure 0.5 [0.6,0.333333] f_measure 0.433333 [0.333333,0.6] 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 0.708333 [0.833333,0.5] 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 0.708333 [0.833333,0.5] f_measure 0.433333 [0.333333,0.6] f_measure 0.75 [0.8,0.666667] 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 [0.75,0.75] f_measure 0.75 [0.8,0.666667] f_measure 0.630952 [0.666667,0.571429] f_measure 0.868182 [0.909091,0.8] f_measure 0.75 [0.8,0.666667] f_measure 0.75 [0.8,0.666667] f_measure 0.868182 [0.909091,0.8] f_measure 0.75 [0.8,0.666667] f_measure 0.708333 [0.833333,0.5] kappa 0.341463 kappa 0.142857 kappa 0.341463 kappa 0.181818 kappa 0.571429 kappa 0.727273 kappa -0.097561 kappa 0 kappa 0.307692 kappa 1 kappa 0.052632 kappa 0.372093 kappa 0.55 kappa 0.780488 kappa 0.341463 kappa -0.153846 kappa 0.526316 kappa 0.307692 kappa 0.307692 kappa 0.307692 kappa 0.55 kappa 0.55 kappa 0.526316 kappa 0.55 kappa 0.526316 kappa 0.052632 kappa 0.142857 kappa 0.307692 kappa 0.341463 kappa 0.372093 kappa -0.421053 kappa 0.307692 kappa 0 kappa 0.571429 kappa 0.526316 kappa 1 kappa 0.55 kappa 0.341463 kappa 1 kappa 0.341463 kappa 0.55 kappa 0.341463 kappa 0.341463 kappa 0.526316 kappa 0.526316 kappa 0.307692 kappa 0.307692 kappa 0.142857 kappa 0.341463 kappa 0.142857 kappa 0.769231 kappa 0.27027 kappa 0.372093 kappa 0.372093 kappa 0.1 kappa 0.55 kappa 0.341463 kappa 0.307692 kappa 0.526316 kappa 0.27027 kappa 0.5 kappa 0.341463 kappa 0 kappa 0.307692 kappa 0.341463 kappa 0.341463 kappa 0.5 kappa 0.55 kappa 0.25 kappa 0.780488 kappa 0.058824 kappa 0.466667 kappa 0.466667 kappa -0.066667 kappa 0.157895 kappa 0.714286 kappa 0.466667 kappa 0.529412 kappa 0.466667 kappa 0.384615 kappa -0.230769 kappa 0.384615 kappa 0.75 kappa 0.466667 kappa 0.75 kappa 0.384615 kappa 0.157895 kappa 0.466667 kappa 0.25 kappa 0.142857 kappa 0.466667 kappa 0.529412 kappa 0.466667 kappa 0.25 kappa 0.714286 kappa 0.466667 kappa 0.466667 kappa 0.714286 kappa 0.466667 kappa 0.384615 kb_relative_information_score 2.954353 kb_relative_information_score 0.627305 kb_relative_information_score 4.164547 kb_relative_information_score 2.753204 kb_relative_information_score 3.615623 kb_relative_information_score 5.572507 kb_relative_information_score -1.857422 kb_relative_information_score 0.71235 kb_relative_information_score 2.888091 kb_relative_information_score 8.101992 kb_relative_information_score 1.310862 kb_relative_information_score 4.422899 kb_relative_information_score 5.284227 kb_relative_information_score 6.585218 kb_relative_information_score 3.021114 kb_relative_information_score -1.277021 kb_relative_information_score 4.828816 kb_relative_information_score 2.848934 kb_relative_information_score 2.768898 kb_relative_information_score 2.297676 kb_relative_information_score 4.094037 kb_relative_information_score 5.233563 kb_relative_information_score 3.859151 kb_relative_information_score 5.680025 kb_relative_information_score 3.546367 kb_relative_information_score 2.662795 kb_relative_information_score 0.976209 kb_relative_information_score 3.104728 kb_relative_information_score 2.965002 kb_relative_information_score 3.000354 kb_relative_information_score -0.869684 kb_relative_information_score 2.79942 kb_relative_information_score 1.114245 kb_relative_information_score 4.683717 kb_relative_information_score 4.657916 kb_relative_information_score 7.673179 kb_relative_information_score 5.574139 kb_relative_information_score 3.437744 kb_relative_information_score 7.749818 kb_relative_information_score 2.943705 kb_relative_information_score 4.949271 kb_relative_information_score 2.80565 kb_relative_information_score 3.590533 kb_relative_information_score 4.945553 kb_relative_information_score 4.978572 kb_relative_information_score 2.915582 kb_relative_information_score 3.247981 kb_relative_information_score 1.254828 kb_relative_information_score 4.060408 kb_relative_information_score 1.875097 kb_relative_information_score 6.748842 kb_relative_information_score 2.8411 kb_relative_information_score 3.381066 kb_relative_information_score 2.491464 kb_relative_information_score 0.835351 kb_relative_information_score 4.886318 kb_relative_information_score 2.358825 kb_relative_information_score 3.274674 kb_relative_information_score 4.499755 kb_relative_information_score 3.098147 kb_relative_information_score 5.408668 kb_relative_information_score 2.859402 kb_relative_information_score 0.737285 kb_relative_information_score 3.584397 kb_relative_information_score 2.477723 kb_relative_information_score 2.775293 kb_relative_information_score 4.693629 kb_relative_information_score 4.75601 kb_relative_information_score -0.033866 kb_relative_information_score 5.041831 kb_relative_information_score 0.921621 kb_relative_information_score 3.366978 kb_relative_information_score 2.858327 kb_relative_information_score -0.044184 kb_relative_information_score 0.39983 kb_relative_information_score 5.485423 kb_relative_information_score 2.067165 kb_relative_information_score 2.103733 kb_relative_information_score 3.639808 kb_relative_information_score 3.391211 kb_relative_information_score 0.68153 kb_relative_information_score 2.716804 kb_relative_information_score 3.9888 kb_relative_information_score 2.997267 kb_relative_information_score 5.766221 kb_relative_information_score 3.467393 kb_relative_information_score 0.370127 kb_relative_information_score 3.461694 kb_relative_information_score 1.146184 kb_relative_information_score 1.144708 kb_relative_information_score 3.712976 kb_relative_information_score 3.158086 kb_relative_information_score 4.85259 kb_relative_information_score 2.502195 kb_relative_information_score 4.560362 kb_relative_information_score 3.788735 kb_relative_information_score 1.960749 kb_relative_information_score 5.402488 kb_relative_information_score 1.913117 kb_relative_information_score 2.693867 mean_absolute_error 0.334679 mean_absolute_error 0.428752 mean_absolute_error 0.260851 mean_absolute_error 0.311002 mean_absolute_error 0.27154 mean_absolute_error 0.174562 mean_absolute_error 0.584828 mean_absolute_error 0.415881 mean_absolute_error 0.332579 mean_absolute_error 0.038016 mean_absolute_error 0.417159 mean_absolute_error 0.244106 mean_absolute_error 0.213018 mean_absolute_error 0.139617 mean_absolute_error 0.33249 mean_absolute_error 0.553839 mean_absolute_error 0.231124 mean_absolute_error 0.335358 mean_absolute_error 0.340687 mean_absolute_error 0.372879 mean_absolute_error 0.273125 mean_absolute_error 0.217252 mean_absolute_error 0.290441 mean_absolute_error 0.18281 mean_absolute_error 0.310795 mean_absolute_error 0.338542 mean_absolute_error 0.435636 mean_absolute_error 0.322675 mean_absolute_error 0.326799 mean_absolute_error 0.324619 mean_absolute_error 0.517338 mean_absolute_error 0.341629 mean_absolute_error 0.422667 mean_absolute_error 0.241513 mean_absolute_error 0.242782 mean_absolute_error 0.08992 mean_absolute_error 0.184513 mean_absolute_error 0.29741 mean_absolute_error 0.088395 mean_absolute_error 0.327995 mean_absolute_error 0.238577 mean_absolute_error 0.337332 mean_absolute_error 0.289587 mean_absolute_error 0.224274 mean_absolute_error 0.220888 mean_absolute_error 0.330635 mean_absolute_error 0.328914 mean_absolute_error 0.414622 mean_absolute_error 0.266669 mean_absolute_error 0.386353 mean_absolute_error 0.13337 mean_absolute_error 0.335892 mean_absolute_error 0.311975 mean_absolute_error 0.360794 mean_absolute_error 0.441526 mean_absolute_error 0.227943 mean_absolute_error 0.371177 mean_absolute_error 0.316388 mean_absolute_error 0.253678 mean_absolute_error 0.325819 mean_absolute_error 0.173085 mean_absolute_error 0.335434 mean_absolute_error 0.417268 mean_absolute_error 0.292798 mean_absolute_error 0.35597 mean_absolute_error 0.340206 mean_absolute_error 0.20621 mean_absolute_error 0.238472 mean_absolute_error 0.46215 mean_absolute_error 0.232622 mean_absolute_error 0.410145 mean_absolute_error 0.274869 mean_absolute_error 0.300428 mean_absolute_error 0.461716 mean_absolute_error 0.44554 mean_absolute_error 0.145989 mean_absolute_error 0.365234 mean_absolute_error 0.354332 mean_absolute_error 0.252328 mean_absolute_error 0.275818 mean_absolute_error 0.424049 mean_absolute_error 0.319432 mean_absolute_error 0.254425 mean_absolute_error 0.300173 mean_absolute_error 0.124347 mean_absolute_error 0.27154 mean_absolute_error 0.440139 mean_absolute_error 0.272275 mean_absolute_error 0.406475 mean_absolute_error 0.406736 mean_absolute_error 0.246271 mean_absolute_error 0.28634 mean_absolute_error 0.168136 mean_absolute_error 0.315612 mean_absolute_error 0.211658 mean_absolute_error 0.240525 mean_absolute_error 0.362641 mean_absolute_error 0.145324 mean_absolute_error 0.367636 mean_absolute_error 0.320439 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 0.683333 [0.75,0.6] precision 0.633333 [0.75,0.4] precision 0.683333 [0.75,0.6] precision 0.642857 [0.714286,0.5] precision 0.866667 [1,0.6] precision 0.904762 [0.857143,1] precision 0.455556 [0.5,0.4] precision 0.555556 [0.666667,0.333333] precision 0.666667 [0.666667,0.666667] precision 1 [1,1] precision 0.539683 [0.571429,0.5] precision 0.809524 [1,0.571429] precision 0.777778 [0.8,0.75] precision 0.911111 [1,0.8] precision 0.683333 [0.75,0.6] precision 0.425926 [0.5,0.333333] precision 0.84127 [0.714286,1] precision 0.666667 [0.666667,0.666667] precision 0.666667 [0.666667,0.666667] precision 0.666667 [0.666667,0.666667] precision 0.777778 [0.8,0.75] precision 0.777778 [0.8,0.75] 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 0.592593 [0.666667,0.5] precision 0.666667 [0.666667,0.666667] precision 0.683333 [0.75,0.6] precision 0.809524 [1,0.571429] precision 0.238095 [0.428571,0] precision 0.666667 [0.666667,0.666667] precision 0.308642 [0.555556,0] precision 0.851852 [1,0.666667] precision 0.84127 [0.714286,1] precision 1 [1,1] precision 0.777778 [0.8,0.75] precision 0.683333 [0.75,0.6] precision 1 [1,1] precision 0.683333 [0.75,0.6] precision 0.777778 [0.8,0.75] precision 0.683333 [0.75,0.6] precision 0.683333 [0.75,0.6] precision 0.84127 [0.714286,1] precision 0.84127 [0.714286,1] precision 0.666667 [0.666667,0.666667] precision 0.666667 [0.666667,0.666667] precision 0.592593 [0.666667,0.5] precision 0.683333 [0.75,0.6] precision 0.592593 [0.666667,0.5] precision 0.907407 [0.833333,1] precision 0.791667 [0.625,1] precision 0.809524 [1,0.571429] precision 0.809524 [1,0.571429] precision 0.555556 [0.6,0.5] precision 0.777778 [0.8,0.75] precision 0.683333 [0.75,0.6] precision 0.666667 [0.666667,0.666667] precision 0.84127 [0.714286,1] precision 0.791667 [0.625,1] 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 0.683333 [0.75,0.6] precision 0.777778 [0.833333,0.666667] precision 0.777778 [0.8,0.75] precision 0.809524 [1,0.428571] precision 0.911111 [1,0.8] precision 0.566667 [0.666667,0.4] precision 0.75 [0.8,0.666667] precision 0.75 [0.8,0.666667] precision 0.5 [0.6,0.333333] precision 0.785714 [1,0.428571] 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 0.821429 [0.714286,1] precision 0.90625 [1,0.75] precision 0.75 [0.8,0.666667] precision 0.90625 [1,0.75] precision 0.821429 [0.714286,1] precision 0.785714 [1,0.428571] precision 0.75 [0.8,0.666667] precision 0.65625 [0.75,0.5] precision 0.604167 [0.666667,0.5] precision 0.75 [0.8,0.666667] precision 0.85 [1,0.6] precision 0.75 [0.8,0.666667] precision 0.65625 [0.75,0.5] precision 0.895833 [0.833333,1] precision 0.75 [0.8,0.666667] precision 0.75 [0.8,0.666667] precision 0.895833 [0.833333,1] precision 0.75 [0.8,0.666667] precision 0.821429 [0.714286,1] predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.444444 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 1 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.666667 predictive_accuracy 0.444444 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.555556 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.333333 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 1 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 1 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.888889 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.777778 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 0.777778 predictive_accuracy 0.555556 predictive_accuracy 0.888889 predictive_accuracy 0.5 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.5 predictive_accuracy 0.5 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 0.75 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.5 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.875 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 0.666667 [0.6,0.75] recall 0.555556 [0.5,0.666667] recall 0.666667 [0.6,0.75] recall 0.666667 [0.833333,0.333333] recall 0.777778 [0.666667,1] recall 0.888889 [1,0.666667] recall 0.444444 [0.4,0.5] recall 0.555556 [0.666667,0.333333] recall 0.666667 [0.8,0.5] recall 1 [1,1] recall 0.555556 [0.8,0.25] recall 0.666667 [0.4,1] recall 0.777778 [0.8,0.75] recall 0.888889 [0.8,1] recall 0.666667 [0.6,0.75] recall 0.444444 [0.6,0.25] recall 0.777778 [1,0.5] recall 0.666667 [0.8,0.5] recall 0.666667 [0.8,0.5] recall 0.666667 [0.8,0.5] recall 0.777778 [0.8,0.75] recall 0.777778 [0.8,0.75] 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 [0.4,0.75] recall 0.666667 [0.8,0.5] recall 0.666667 [0.6,0.75] recall 0.666667 [0.4,1] recall 0.333333 [0.6,0] recall 0.666667 [0.8,0.5] recall 0.555556 [1,0] recall 0.777778 [0.6,1] recall 0.777778 [1,0.5] recall 1 [1,1] recall 0.777778 [0.8,0.75] recall 0.666667 [0.6,0.75] recall 1 [1,1] recall 0.666667 [0.6,0.75] recall 0.777778 [0.8,0.75] recall 0.666667 [0.6,0.75] recall 0.666667 [0.6,0.75] recall 0.777778 [1,0.5] recall 0.777778 [1,0.5] recall 0.666667 [0.8,0.5] recall 0.666667 [0.8,0.5] recall 0.555556 [0.4,0.75] recall 0.666667 [0.6,0.75] recall 0.555556 [0.4,0.75] recall 0.888889 [1,0.75] recall 0.666667 [1,0.25] recall 0.666667 [0.4,1] recall 0.666667 [0.4,1] recall 0.555556 [0.6,0.5] recall 0.777778 [0.8,0.75] recall 0.666667 [0.6,0.75] recall 0.666667 [0.8,0.5] recall 0.777778 [1,0.5] recall 0.666667 [1,0.25] 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 0.666667 [0.6,0.75] recall 0.777778 [0.833333,0.666667] recall 0.777778 [0.8,0.75] recall 0.555556 [0.333333,1] recall 0.888889 [0.8,1] recall 0.5 [0.4,0.666667] recall 0.75 [0.8,0.666667] recall 0.75 [0.8,0.666667] recall 0.5 [0.6,0.333333] recall 0.5 [0.2,1] 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 0.75 [1,0.333333] recall 0.875 [0.8,1] recall 0.75 [0.8,0.666667] recall 0.875 [0.8,1] recall 0.75 [1,0.333333] recall 0.5 [0.2,1] recall 0.75 [0.8,0.666667] recall 0.625 [0.6,0.666667] recall 0.625 [0.8,0.333333] recall 0.75 [0.8,0.666667] recall 0.75 [0.6,1] recall 0.75 [0.8,0.666667] recall 0.625 [0.6,0.666667] recall 0.875 [1,0.666667] recall 0.75 [0.8,0.666667] recall 0.75 [0.8,0.666667] recall 0.875 [1,0.666667] recall 0.75 [0.8,0.666667] recall 0.75 [1,0.333333] relative_absolute_error 0.682133 relative_absolute_error 0.908547 relative_absolute_error 0.531659 relative_absolute_error 0.659027 relative_absolute_error 0.575407 relative_absolute_error 0.369905 relative_absolute_error 1.191978 relative_absolute_error 0.881271 relative_absolute_error 0.677852 relative_absolute_error 0.080557 relative_absolute_error 0.85024 relative_absolute_error 0.497529 relative_absolute_error 0.434166 relative_absolute_error 0.284564 relative_absolute_error 0.67767 relative_absolute_error 1.128818 relative_absolute_error 0.47107 relative_absolute_error 0.683515 relative_absolute_error 0.694376 relative_absolute_error 0.75999 relative_absolute_error 0.556674 relative_absolute_error 0.442796 relative_absolute_error 0.591968 relative_absolute_error 0.372597 relative_absolute_error 0.633452 relative_absolute_error 0.690006 relative_absolute_error 0.887898 relative_absolute_error 0.657666 relative_absolute_error 0.666072 relative_absolute_error 0.661628 relative_absolute_error 1.054422 relative_absolute_error 0.696298 relative_absolute_error 0.861466 relative_absolute_error 0.492245 relative_absolute_error 0.494831 relative_absolute_error 0.183272 relative_absolute_error 0.376069 relative_absolute_error 0.606171 relative_absolute_error 0.180164 relative_absolute_error 0.668509 relative_absolute_error 0.48626 relative_absolute_error 0.687539 relative_absolute_error 0.590227 relative_absolute_error 0.457107 relative_absolute_error 0.450206 relative_absolute_error 0.673891 relative_absolute_error 0.670382 relative_absolute_error 0.84507 relative_absolute_error 0.543516 relative_absolute_error 0.787452 relative_absolute_error 0.271831 relative_absolute_error 0.684604 relative_absolute_error 0.635858 relative_absolute_error 0.735358 relative_absolute_error 0.899905 relative_absolute_error 0.464586 relative_absolute_error 0.756522 relative_absolute_error 0.644851 relative_absolute_error 0.517039 relative_absolute_error 0.664074 relative_absolute_error 0.366775 relative_absolute_error 0.683671 relative_absolute_error 0.88421 relative_absolute_error 0.596772 relative_absolute_error 0.725526 relative_absolute_error 0.693397 relative_absolute_error 0.436969 relative_absolute_error 0.486046 relative_absolute_error 0.979318 relative_absolute_error 0.474122 relative_absolute_error 0.856374 relative_absolute_error 0.57392 relative_absolute_error 0.627287 relative_absolute_error 0.964052 relative_absolute_error 0.930276 relative_absolute_error 0.304821 relative_absolute_error 0.7626 relative_absolute_error 0.739836 relative_absolute_error 0.526854 relative_absolute_error 0.575901 relative_absolute_error 0.885403 relative_absolute_error 0.666966 relative_absolute_error 0.531234 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