455876 2 Joaquin Vanschoren 4280 Supervised Classification predictive_accuracy 1244 weka.FilteredClassifier_Discretize_J48(4) 2166 weka.classifiers.meta.FilteredClassifier -- -F "weka.filters.supervised.attribute.Discretize -R first-last -precision 6" -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 C 0.25 1068 M 2 1068 F weka.filters.supervised.attribute.Discretize 1244 W weka.classifiers.trees.J48 1244 R first-last 1245 precision 6 1245 weka weka_3.7.12 682 sleuth_ex2016 https://www.openml.org/data/download/52982/sleuth_ex2016.arff -1 1600045 description https://api.openml.org/data/download/1600045/weka_generated_run8933753686026586393.xml -1 1600048 model_readable https://api.openml.org/data/download/1600048/WekaModel_weka.classifiers.meta.FilteredClassifier5923180096613977402.model -1 1600047 model_serialized https://api.openml.org/data/download/1600047/WekaSerialized_weka.classifiers.meta.FilteredClassifier3584824977630854100.model -1 1600046 predictions https://api.openml.org/data/download/1600046/weka_generated_predictions5496323398249603555.arff area_under_roc_curve 0.648568 [0.648568,0.648568] average_cost 0 f_measure 0.705763 [0.742227,0.654105] kappa 0.396762 kb_relative_information_score 176.214101 mean_absolute_error 0.399632 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 0.70791 [0.759754,0.634465] predictive_accuracy 0.704598 prior_entropy 0.979412 recall 0.704598 [0.72549,0.675] relative_absolute_error 0.823185 root_mean_prior_squared_error 0.492516 root_mean_squared_error 0.456757 root_relative_squared_error 0.927396 scimark_benchmark 942.239177 [554.9604525776903, 1012.3220633477529, 479.7774192424144, 908.6447170417716, 1755.4912331040343] total_cost 0 usercpu_time_millis 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.575 [0.575,0.575] area_under_roc_curve 0.583333 [0.583333,0.583333] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.583333 [0.583333,0.583333] area_under_roc_curve 0.45 [0.45,0.45] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.675 [0.675,0.675] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.675 [0.675,0.675] area_under_roc_curve 0.425 [0.425,0.425] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.675 [0.675,0.675] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.45 [0.45,0.45] area_under_roc_curve 0.675 [0.675,0.675] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.675 [0.675,0.675] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.525 [0.525,0.525] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.675 [0.675,0.675] 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 0.575 [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 0.9 [0.9,0.9] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.675 [0.675,0.675] area_under_roc_curve 0.675 [0.675,0.675] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.575 [0.575,0.575] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.475 [0.475,0.475] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.575 [0.575,0.575] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.633333 [0.633333,0.633333] 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 0.8 [0.8,0.8] area_under_roc_curve 0.733333 [0.733333,0.733333] area_under_roc_curve 0.733333 [0.733333,0.733333] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.733333 [0.733333,0.733333] area_under_roc_curve 0.733333 [0.733333,0.733333] area_under_roc_curve 0.633333 [0.633333,0.633333] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.566667 [0.566667,0.566667] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.633333 [0.633333,0.633333] area_under_roc_curve 0.633333 [0.633333,0.633333] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.733333 [0.733333,0.733333] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.733333 [0.733333,0.733333] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.466667 [0.466667,0.466667] area_under_roc_curve 0.733333 [0.733333,0.733333] area_under_roc_curve 0.733333 [0.733333,0.733333] area_under_roc_curve 0.566667 [0.566667,0.566667] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.396825 [0.714286,0] f_measure 0.533333 [0.8,0] f_measure 0.544444 [0.5,0.6] f_measure 0.646154 [0.769231,0.4] f_measure 0.882051 [0.923077,0.8] f_measure 0.675325 [0.727273,0.571429] f_measure 0.777778 [0.8,0.75] f_measure 0.566667 [0.6,0.5] f_measure 0.444444 [0.444444,0.444444] f_measure 0.783333 [0.8,0.75] f_measure 0.666667 [0.666667,0.666667] f_measure 0.777778 [0.8,0.75] f_measure 0.772222 [0.75,0.8] f_measure 0.777778 [0.8,0.75] f_measure 0.666667 [0.666667,0.666667] f_measure 0.430014 [0.545455,0.285714] f_measure 0.777778 [0.8,0.75] f_measure 0.886003 [0.909091,0.857143] 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 0.772222 [0.75,0.8] f_measure 0.888889 [0.888889,0.888889] f_measure 0.396825 [0.714286,0] f_measure 0.555556 [0.6,0.5] f_measure 0.777778 [0.8,0.75] f_measure 0.640693 [0.571429,0.727273] f_measure 0.444444 [0.444444,0.444444] f_measure 0.666667 [0.666667,0.666667] f_measure 0.772222 [0.75,0.8] f_measure 0.666667 [0.666667,0.666667] f_measure 0.658009 [0.727273,0.571429] f_measure 0.518519 [0.666667,0.333333] f_measure 0.772222 [0.75,0.8] f_measure 0.759259 [0.833333,0.666667] f_measure 0.396825 [0.714286,0] f_measure 0.886003 [0.909091,0.857143] f_measure 0.666667 [0.666667,0.666667] f_measure 0.888889 [0.888889,0.888889] f_measure 0.555556 [0.6,0.5] f_measure 0.666667 [0.666667,0.666667] f_measure 0.759259 [0.833333,0.666667] 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 0.666667 [0.666667,0.666667] f_measure 0.777778 [0.8,0.75] f_measure 0.888889 [0.888889,0.888889] 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 0.666667 [0.666667,0.666667] f_measure 0.777778 [0.8,0.75] f_measure 0.481481 [0.333333,0.666667] f_measure 0.777778 [0.8,0.75] f_measure 0.772222 [0.75,0.8] f_measure 0.886003 [0.909091,0.857143] f_measure 0.658009 [0.727273,0.571429] f_measure 0.544444 [0.5,0.6] f_measure 0.759259 [0.833333,0.666667] f_measure 0.777778 [0.833333,0.666667] f_measure 0.401154 [0.285714,0.545455] f_measure 0.533333 [0.8,0] f_measure 0.777778 [0.8,0.75] f_measure 0.544444 [0.5,0.6] f_measure 0.772222 [0.75,0.8] f_measure 0.666667 [0.666667,0.666667] f_measure 0.888889 [0.888889,0.888889] f_measure 0.882051 [0.923077,0.8] f_measure 0.640693 [0.571429,0.727273] f_measure 0.630952 [0.666667,0.571429] f_measure 0.75 [0.8,0.666667] f_measure 0.708333 [0.833333,0.5] 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 0.75 [0.8,0.666667] f_measure 0.480769 [0.769231,0] f_measure 0.876984 [0.888889,0.857143] f_measure 0.75 [0.8,0.666667] f_measure 0.75 [0.8,0.666667] f_measure 0.630952 [0.666667,0.571429] f_measure 0.607143 [0.571429,0.666667] f_measure 0.604545 [0.727273,0.4] f_measure 0.876984 [0.888889,0.857143] f_measure 0.708333 [0.833333,0.5] f_measure 0.630952 [0.666667,0.571429] f_measure 0.630952 [0.666667,0.571429] f_measure 0.480769 [0.769231,0] f_measure 0.75 [0.8,0.666667] f_measure 0.868182 [0.909091,0.8] 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 0.480769 [0.769231,0] f_measure 0.75 [0.75,0.75] f_measure 0.5 [0.6,0.333333] f_measure 0.75 [0.8,0.666667] f_measure 0.75 [0.8,0.666667] f_measure 0.604545 [0.727273,0.4] kappa 0 kappa 0 kappa 0.142857 kappa 0.181818 kappa 0.727273 kappa 0.307692 kappa 0.55 kappa 0.142857 kappa -0.097561 kappa 0.571429 kappa 0.341463 kappa 0.55 kappa 0.571429 kappa 0.55 kappa 0.341463 kappa -0.153846 kappa 0.55 kappa 0.769231 kappa 0.1 kappa 0.55 kappa 0.341463 kappa 0.571429 kappa 0.780488 kappa 0 kappa 0.1 kappa 0.55 kappa 0.372093 kappa -0.097561 kappa 0.341463 kappa 0.571429 kappa 0.341463 kappa 0.307692 kappa 0.052632 kappa 0.571429 kappa 0.526316 kappa 0 kappa 0.769231 kappa 0.341463 kappa 0.780488 kappa 0.1 kappa 0.341463 kappa 0.526316 kappa 0.142857 kappa 0.341463 kappa 0.142857 kappa 0.341463 kappa 0.55 kappa 0.780488 kappa 0.55 kappa 0.780488 kappa 0.341463 kappa 0.341463 kappa 0.55 kappa 0.181818 kappa 0.55 kappa 0.571429 kappa 0.769231 kappa 0.307692 kappa 0.142857 kappa 0.526316 kappa 0.5 kappa -0.046512 kappa 0 kappa 0.55 kappa 0.142857 kappa 0.571429 kappa 0.4 kappa 0.780488 kappa 0.727273 kappa 0.372093 kappa 0.25 kappa 0.466667 kappa 0.384615 kappa 0.466667 kappa 0.529412 kappa 0.466667 kappa 0.466667 kappa 0 kappa 0.75 kappa 0.466667 kappa 0.466667 kappa 0.25 kappa 0.333333 kappa 0.142857 kappa 0.75 kappa 0.384615 kappa 0.25 kappa 0.25 kappa 0 kappa 0.466667 kappa 0.714286 kappa 0.75 kappa 0.714286 kappa 0.466667 kappa 0 kappa 0.529412 kappa -0.066667 kappa 0.466667 kappa 0.466667 kappa 0.142857 kb_relative_information_score 0.013737 kb_relative_information_score -0.07741 kb_relative_information_score 0.488366 kb_relative_information_score 1.50057 kb_relative_information_score 3.542852 kb_relative_information_score 1.415551 kb_relative_information_score 2.726113 kb_relative_information_score 0.204887 kb_relative_information_score -0.75577 kb_relative_information_score 2.441055 kb_relative_information_score 1.656298 kb_relative_information_score 2.726113 kb_relative_information_score 2.685894 kb_relative_information_score 2.726113 kb_relative_information_score 1.656298 kb_relative_information_score -0.733903 kb_relative_information_score 2.726113 kb_relative_information_score 3.699576 kb_relative_information_score 0.515824 kb_relative_information_score 2.726113 kb_relative_information_score 1.656298 kb_relative_information_score 2.685894 kb_relative_information_score 3.644261 kb_relative_information_score 0.013737 kb_relative_information_score 0.515824 kb_relative_information_score 2.726113 kb_relative_information_score 1.626152 kb_relative_information_score -0.75577 kb_relative_information_score 1.656298 kb_relative_information_score 2.685894 kb_relative_information_score 1.656298 kb_relative_information_score 1.692576 kb_relative_information_score 0.545517 kb_relative_information_score 2.685894 kb_relative_information_score 2.776305 kb_relative_information_score 0.013737 kb_relative_information_score 3.699576 kb_relative_information_score 1.199433 kb_relative_information_score 2.754675 kb_relative_information_score 0.515824 kb_relative_information_score 1.656298 kb_relative_information_score 2.776305 kb_relative_information_score 0.488366 kb_relative_information_score 1.656298 kb_relative_information_score 0.488366 kb_relative_information_score 1.656298 kb_relative_information_score 2.726113 kb_relative_information_score 3.644261 kb_relative_information_score 2.726113 kb_relative_information_score 3.644261 kb_relative_information_score 1.656298 kb_relative_information_score 1.656298 kb_relative_information_score 2.726113 kb_relative_information_score 0.462896 kb_relative_information_score 2.726113 kb_relative_information_score 2.685894 kb_relative_information_score 3.699576 kb_relative_information_score 1.692576 kb_relative_information_score 0.488366 kb_relative_information_score 2.110551 kb_relative_information_score 2.527713 kb_relative_information_score -0.779835 kb_relative_information_score -0.07741 kb_relative_information_score 2.726113 kb_relative_information_score 0.488366 kb_relative_information_score 2.685894 kb_relative_information_score 1.337004 kb_relative_information_score 3.644261 kb_relative_information_score 3.542852 kb_relative_information_score 1.626152 kb_relative_information_score 0.960657 kb_relative_information_score 2.091681 kb_relative_information_score 2.158916 kb_relative_information_score 2.091681 kb_relative_information_score 2.032644 kb_relative_information_score 2.091681 kb_relative_information_score 2.091681 kb_relative_information_score -0.01408 kb_relative_information_score 3.055977 kb_relative_information_score 2.091681 kb_relative_information_score 2.091681 kb_relative_information_score 0.960657 kb_relative_information_score 0.909007 kb_relative_information_score 1.016446 kb_relative_information_score 3.055977 kb_relative_information_score 2.158916 kb_relative_information_score 0.960657 kb_relative_information_score 0.960657 kb_relative_information_score -0.01408 kb_relative_information_score 2.091681 kb_relative_information_score 3.127319 kb_relative_information_score 3.055977 kb_relative_information_score 3.127319 kb_relative_information_score 2.091681 kb_relative_information_score -0.01408 kb_relative_information_score 2.032644 kb_relative_information_score -0.218079 kb_relative_information_score 2.091681 kb_relative_information_score 2.091681 kb_relative_information_score 1.016446 mean_absolute_error 0.490028 mean_absolute_error 0.474359 mean_absolute_error 0.465116 mean_absolute_error 0.393162 mean_absolute_error 0.304843 mean_absolute_error 0.398374 mean_absolute_error 0.365341 mean_absolute_error 0.452822 mean_absolute_error 0.521605 mean_absolute_error 0.354497 mean_absolute_error 0.412698 mean_absolute_error 0.365341 mean_absolute_error 0.36818 mean_absolute_error 0.365341 mean_absolute_error 0.412698 mean_absolute_error 0.520468 mean_absolute_error 0.365341 mean_absolute_error 0.322807 mean_absolute_error 0.463415 mean_absolute_error 0.365341 mean_absolute_error 0.412698 mean_absolute_error 0.36818 mean_absolute_error 0.32672 mean_absolute_error 0.490028 mean_absolute_error 0.463415 mean_absolute_error 0.365341 mean_absolute_error 0.414735 mean_absolute_error 0.521605 mean_absolute_error 0.412698 mean_absolute_error 0.36818 mean_absolute_error 0.412698 mean_absolute_error 0.410234 mean_absolute_error 0.461538 mean_absolute_error 0.36818 mean_absolute_error 0.361823 mean_absolute_error 0.490028 mean_absolute_error 0.322807 mean_absolute_error 0.439634 mean_absolute_error 0.374026 mean_absolute_error 0.463415 mean_absolute_error 0.412698 mean_absolute_error 0.361823 mean_absolute_error 0.465116 mean_absolute_error 0.412698 mean_absolute_error 0.465116 mean_absolute_error 0.412698 mean_absolute_error 0.365341 mean_absolute_error 0.32672 mean_absolute_error 0.365341 mean_absolute_error 0.32672 mean_absolute_error 0.412698 mean_absolute_error 0.412698 mean_absolute_error 0.365341 mean_absolute_error 0.466667 mean_absolute_error 0.365341 mean_absolute_error 0.36818 mean_absolute_error 0.322807 mean_absolute_error 0.410234 mean_absolute_error 0.465116 mean_absolute_error 0.405405 mean_absolute_error 0.349123 mean_absolute_error 0.522876 mean_absolute_error 0.474359 mean_absolute_error 0.365341 mean_absolute_error 0.465116 mean_absolute_error 0.36818 mean_absolute_error 0.403101 mean_absolute_error 0.32672 mean_absolute_error 0.304843 mean_absolute_error 0.414735 mean_absolute_error 0.422619 mean_absolute_error 0.365934 mean_absolute_error 0.361058 mean_absolute_error 0.365934 mean_absolute_error 0.370155 mean_absolute_error 0.365934 mean_absolute_error 0.365934 mean_absolute_error 0.479431 mean_absolute_error 0.319981 mean_absolute_error 0.365934 mean_absolute_error 0.365934 mean_absolute_error 0.422619 mean_absolute_error 0.426136 mean_absolute_error 0.41875 mean_absolute_error 0.319981 mean_absolute_error 0.361058 mean_absolute_error 0.422619 mean_absolute_error 0.422619 mean_absolute_error 0.47943 mean_absolute_error 0.365934 mean_absolute_error 0.314744 mean_absolute_error 0.319981 mean_absolute_error 0.314744 mean_absolute_error 0.365934 mean_absolute_error 0.479431 mean_absolute_error 0.370155 mean_absolute_error 0.481868 mean_absolute_error 0.365934 mean_absolute_error 0.365934 mean_absolute_error 0.41875 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 0.308642 [0.555556,0] precision 0.444444 [0.666667,0] precision 0.592593 [0.666667,0.5] precision 0.642857 [0.714286,0.5] precision 0.904762 [0.857143,1] precision 0.7 [0.8,0.5] precision 0.777778 [0.8,0.75] precision 0.633333 [0.75,0.4] precision 0.455556 [0.5,0.4] precision 0.866667 [1,0.6] precision 0.683333 [0.75,0.6] precision 0.777778 [0.8,0.75] precision 0.851852 [1,0.666667] precision 0.777778 [0.8,0.75] precision 0.683333 [0.75,0.6] precision 0.425926 [0.5,0.333333] precision 0.777778 [0.8,0.75] precision 0.907407 [0.833333,1] precision 0.555556 [0.6,0.5] precision 0.777778 [0.8,0.75] precision 0.683333 [0.75,0.6] precision 0.851852 [1,0.666667] precision 0.911111 [1,0.8] precision 0.308642 [0.555556,0] precision 0.555556 [0.6,0.5] precision 0.777778 [0.8,0.75] precision 0.809524 [1,0.571429] precision 0.455556 [0.5,0.4] precision 0.683333 [0.75,0.6] precision 0.851852 [1,0.666667] precision 0.683333 [0.75,0.6] precision 0.666667 [0.666667,0.666667] precision 0.539683 [0.571429,0.5] precision 0.851852 [1,0.666667] precision 0.84127 [0.714286,1] precision 0.308642 [0.555556,0] precision 0.907407 [0.833333,1] precision 0.683333 [0.75,0.6] precision 0.911111 [1,0.8] precision 0.555556 [0.6,0.5] precision 0.683333 [0.75,0.6] precision 0.84127 [0.714286,1] precision 0.592593 [0.666667,0.5] precision 0.683333 [0.75,0.6] precision 0.592593 [0.666667,0.5] precision 0.683333 [0.75,0.6] precision 0.777778 [0.8,0.75] precision 0.911111 [1,0.8] precision 0.777778 [0.8,0.75] precision 0.911111 [1,0.8] precision 0.683333 [0.75,0.6] precision 0.683333 [0.75,0.6] precision 0.777778 [0.8,0.75] precision 0.777778 [1,0.5] precision 0.777778 [0.8,0.75] precision 0.851852 [1,0.666667] precision 0.907407 [0.833333,1] precision 0.666667 [0.666667,0.666667] precision 0.592593 [0.666667,0.5] precision 0.84127 [0.714286,1] precision 0.777778 [0.833333,0.666667] precision 0.468254 [0.5,0.428571] precision 0.444444 [0.666667,0] precision 0.777778 [0.8,0.75] precision 0.592593 [0.666667,0.5] precision 0.851852 [1,0.666667] precision 0.833333 [1,0.5] precision 0.911111 [1,0.8] precision 0.904762 [0.857143,1] precision 0.809524 [1,0.571429] precision 0.65625 [0.75,0.5] precision 0.75 [0.8,0.666667] precision 0.821429 [0.714286,1] precision 0.75 [0.8,0.666667] precision 0.85 [1,0.6] precision 0.75 [0.8,0.666667] precision 0.75 [0.8,0.666667] precision 0.390625 [0.625,0] precision 0.90625 [1,0.75] precision 0.75 [0.8,0.666667] precision 0.75 [0.8,0.666667] precision 0.65625 [0.75,0.5] precision 0.8125 [1,0.5] precision 0.604167 [0.666667,0.5] precision 0.90625 [1,0.75] precision 0.821429 [0.714286,1] precision 0.65625 [0.75,0.5] precision 0.65625 [0.75,0.5] precision 0.390625 [0.625,0] precision 0.75 [0.8,0.666667] precision 0.895833 [0.833333,1] precision 0.90625 [1,0.75] precision 0.895833 [0.833333,1] precision 0.75 [0.8,0.666667] precision 0.390625 [0.625,0] precision 0.85 [1,0.6] precision 0.5 [0.6,0.333333] precision 0.75 [0.8,0.666667] precision 0.75 [0.8,0.666667] precision 0.604167 [0.666667,0.5] predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.888889 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.555556 predictive_accuracy 0.444444 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.444444 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.555556 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.444444 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.555556 predictive_accuracy 0.888889 predictive_accuracy 0.666667 predictive_accuracy 0.888889 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.555556 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 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.444444 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.888889 predictive_accuracy 0.888889 predictive_accuracy 0.666667 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.75 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 0.625 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.875 predictive_accuracy 0.875 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.5 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.625 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 0.555556 [1,0] recall 0.666667 [1,0] recall 0.555556 [0.4,0.75] recall 0.666667 [0.833333,0.333333] recall 0.888889 [1,0.666667] recall 0.666667 [0.666667,0.666667] recall 0.777778 [0.8,0.75] recall 0.555556 [0.5,0.666667] recall 0.444444 [0.4,0.5] recall 0.777778 [0.666667,1] recall 0.666667 [0.6,0.75] recall 0.777778 [0.8,0.75] recall 0.777778 [0.6,1] recall 0.777778 [0.8,0.75] recall 0.666667 [0.6,0.75] recall 0.444444 [0.6,0.25] recall 0.777778 [0.8,0.75] recall 0.888889 [1,0.75] recall 0.555556 [0.6,0.5] recall 0.777778 [0.8,0.75] recall 0.666667 [0.6,0.75] recall 0.777778 [0.6,1] recall 0.888889 [0.8,1] recall 0.555556 [1,0] recall 0.555556 [0.6,0.5] recall 0.777778 [0.8,0.75] recall 0.666667 [0.4,1] recall 0.444444 [0.4,0.5] recall 0.666667 [0.6,0.75] recall 0.777778 [0.6,1] recall 0.666667 [0.6,0.75] recall 0.666667 [0.8,0.5] recall 0.555556 [0.8,0.25] recall 0.777778 [0.6,1] recall 0.777778 [1,0.5] recall 0.555556 [1,0] recall 0.888889 [1,0.75] recall 0.666667 [0.6,0.75] recall 0.888889 [0.8,1] recall 0.555556 [0.6,0.5] recall 0.666667 [0.6,0.75] recall 0.777778 [1,0.5] recall 0.555556 [0.4,0.75] recall 0.666667 [0.6,0.75] recall 0.555556 [0.4,0.75] recall 0.666667 [0.6,0.75] recall 0.777778 [0.8,0.75] recall 0.888889 [0.8,1] recall 0.777778 [0.8,0.75] recall 0.888889 [0.8,1] recall 0.666667 [0.6,0.75] recall 0.666667 [0.6,0.75] recall 0.777778 [0.8,0.75] recall 0.555556 [0.2,1] recall 0.777778 [0.8,0.75] recall 0.777778 [0.6,1] recall 0.888889 [1,0.75] recall 0.666667 [0.8,0.5] recall 0.555556 [0.4,0.75] recall 0.777778 [1,0.5] recall 0.777778 [0.833333,0.666667] recall 0.444444 [0.2,0.75] recall 0.666667 [1,0] recall 0.777778 [0.8,0.75] recall 0.555556 [0.4,0.75] recall 0.777778 [0.6,1] recall 0.666667 [0.5,1] recall 0.888889 [0.8,1] recall 0.888889 [1,0.666667] recall 0.666667 [0.4,1] recall 0.625 [0.6,0.666667] recall 0.75 [0.8,0.666667] recall 0.75 [1,0.333333] recall 0.75 [0.8,0.666667] recall 0.75 [0.6,1] recall 0.75 [0.8,0.666667] recall 0.75 [0.8,0.666667] recall 0.625 [1,0] recall 0.875 [0.8,1] recall 0.75 [0.8,0.666667] recall 0.75 [0.8,0.666667] recall 0.625 [0.6,0.666667] recall 0.625 [0.4,1] recall 0.625 [0.8,0.333333] recall 0.875 [0.8,1] recall 0.75 [1,0.333333] recall 0.625 [0.6,0.666667] recall 0.625 [0.6,0.666667] recall 0.625 [1,0] recall 0.75 [0.8,0.666667] recall 0.875 [1,0.666667] recall 0.875 [0.8,1] recall 0.875 [1,0.666667] recall 0.75 [0.8,0.666667] recall 0.625 [1,0] recall 0.75 [0.6,1] recall 0.5 [0.6,0.333333] recall 0.75 [0.8,0.666667] recall 0.75 [0.8,0.666667] recall 0.625 [0.8,0.333333] relative_absolute_error 0.99876 relative_absolute_error 1.005189 relative_absolute_error 0.947985 relative_absolute_error 0.83313 relative_absolute_error 0.645977 relative_absolute_error 0.844173 relative_absolute_error 0.744626 relative_absolute_error 0.959551 relative_absolute_error 1.063118 relative_absolute_error 0.751197 relative_absolute_error 0.841149 relative_absolute_error 0.744626 relative_absolute_error 0.750413 relative_absolute_error 0.744626 relative_absolute_error 0.841149 relative_absolute_error 1.060801 relative_absolute_error 0.744626 relative_absolute_error 0.657935 relative_absolute_error 0.944517 relative_absolute_error 0.744626 relative_absolute_error 0.841149 relative_absolute_error 0.750413 relative_absolute_error 0.66591 relative_absolute_error 0.99876 relative_absolute_error 0.944517 relative_absolute_error 0.744626 relative_absolute_error 0.8453 relative_absolute_error 1.063118 relative_absolute_error 0.841149 relative_absolute_error 0.750413 relative_absolute_error 0.841149 relative_absolute_error 0.836126 relative_absolute_error 0.940693 relative_absolute_error 0.750413 relative_absolute_error 0.737456 relative_absolute_error 0.99876 relative_absolute_error 0.657935 relative_absolute_error 0.896049 relative_absolute_error 0.762328 relative_absolute_error 0.944517 relative_absolute_error 0.841149 relative_absolute_error 0.737456 relative_absolute_error 0.947985 relative_absolute_error 0.841149 relative_absolute_error 0.947985 relative_absolute_error 0.841149 relative_absolute_error 0.744626 relative_absolute_error 0.66591 relative_absolute_error 0.744626 relative_absolute_error 0.66591 relative_absolute_error 0.841149 relative_absolute_error 0.841149 relative_absolute_error 0.744626 relative_absolute_error 0.951145 relative_absolute_error 0.744626 relative_absolute_error 0.750413 relative_absolute_error 0.657935 relative_absolute_error 0.836126 relative_absolute_error 0.947985 relative_absolute_error 0.826284 relative_absolute_error 0.739808 relative_absolute_error 1.065709 relative_absolute_error 1.005189 relative_absolute_error 0.744626 relative_absolute_error 0.947985 relative_absolute_error 0.750413 relative_absolute_error 0.85419 relative_absolute_error 0.66591 relative_absolute_error 0.645977 relative_absolute_error 0.8453 relative_absolute_error 0.882419 relative_absolute_error 0.764061 relative_absolute_error 0.75388 relative_absolute_error 0.764061 relative_absolute_error 0.772875 relative_absolute_error 0.764061 relative_absolute_error 0.764061 relative_absolute_error 1.00104 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