451940 2 Joaquin Vanschoren 4204 Supervised Classification predictive_accuracy 1200 weka.LADTree(4) 2070 weka.classifiers.trees.LADTree -- -B 10 B 10 1200 weka weka_3.7.12 340 squash-stored https://www.openml.org/data/download/52243/phpH2fvsy -1 1586034 description https://api.openml.org/data/download/1586034/weka_generated_run1899189109307006796.xml -1 1586036 model_readable https://api.openml.org/data/download/1586036/WekaModel_weka.classifiers.trees.LADTree2421445893059158203.model -1 1586035 model_serialized https://api.openml.org/data/download/1586035/WekaSerialized_weka.classifiers.trees.LADTree7068670595009087280.model -1 1586037 predictions https://api.openml.org/data/download/1586037/weka_generated_predictions214901038532152528.arff area_under_roc_curve 0.7272 [0.75494,0.688748,0.748381] average_cost 0 f_measure 0.620382 [0.679325,0.596244,0.514286] kappa 0.378991 kb_relative_information_score 210.315546 mean_absolute_error 0.263487 mean_prior_absolute_error 0.41352 number_of_instances 520 [230,210,80] os_information [Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64] precision 0.621605 [0.659836,0.587963,0.6] predictive_accuracy 0.623077 prior_entropy 1.478161 recall 0.623077 [0.7,0.604762,0.45] relative_absolute_error 0.637181 root_mean_prior_squared_error 0.45378 root_mean_squared_error 0.46117 root_relative_squared_error 1.016284 scimark_benchmark 608.405715 [308.60591919746923, 753.5999479595193, 337.8671595412292, 637.664792284123, 1004.290755845325] total_cost 0 usercpu_time_millis 20 usercpu_time_millis_testing 0 usercpu_time_millis_training 20 area_under_roc_curve 0.944444 [0.888889,1,1] area_under_roc_curve 0.419444 [0.222222,0.625,0.6] area_under_roc_curve 0.909722 [0.944444,0.8125,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.652778 [0.625,0.888889,0] area_under_roc_curve 0.866667 [1,0.833333,0.7] area_under_roc_curve 0.555556 [0.5,0.777778,0] area_under_roc_curve 0.833333 [0.722222,0.944444,0.0] area_under_roc_curve 0.684722 [0.777778,0.4375,0.9] area_under_roc_curve 1 [1,1,0.0] area_under_roc_curve 0.690278 [0.6875,0.888889,0.1] area_under_roc_curve 0.715278 [0.722222,0.5625,1] area_under_roc_curve 1 [1,1,0.0] area_under_roc_curve 0.713889 [0.611111,0.875,0.7] area_under_roc_curve 0.763889 [0.777778,0.625,1] area_under_roc_curve 0.763889 [0.777778,0.625,1] area_under_roc_curve 0.805556 [0.777778,0.75,1] area_under_roc_curve 0.840278 [0.722222,0.9375,1] area_under_roc_curve 0.498611 [0.555556,0.3125,0.7] area_under_roc_curve 0.858333 [1,0.875,0.4] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.433333 [0.5,0.333333,0.0] area_under_roc_curve 0.433333 [0.5,0.333333,0.0] area_under_roc_curve 0.583333 [0.583333,0.583333,0.0] area_under_roc_curve 0.833333 [0.833333,0.833333,0.0] area_under_roc_curve 0.833333 [0.833333,0.833333,0.0] area_under_roc_curve 0.5 [0.5,0.5,0.0] area_under_roc_curve 0.933333 [1,0.833333,1] area_under_roc_curve 0.716667 [1,0.666667,0.25] area_under_roc_curve 0.8 [0.666667,0.833333,1] area_under_roc_curve 0.625 [0.833333,0.416667,0.625] area_under_roc_curve 0.9 [1,0.833333,0.0] area_under_roc_curve 0.666667 [0.666667,0.5,1] area_under_roc_curve 0.583333 [0.583333,0.583333,0.0] area_under_roc_curve 0.8 [1,0.5,0.0] area_under_roc_curve 0.75 [0.75,0.75,0.0] area_under_roc_curve 0.433333 [0.5,0.333333,0.0] area_under_roc_curve 0.666667 [0.666667,0.5,1] area_under_roc_curve 0.933333 [0.833333,1,1] area_under_roc_curve 0.658333 [0.666667,0.916667,0.125] area_under_roc_curve 0.591667 [0.833333,0.583333,0.125] area_under_roc_curve 0.616667 [0.5,0.666667,0.75] area_under_roc_curve 0.666667 [0.666667,0.5,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.783333 [1,0.833333,0.25] area_under_roc_curve 0.8 [0.833333,0.666667,1] area_under_roc_curve 0.733333 [0.75,0.583333,1] area_under_roc_curve 0.591667 [0.666667,0.75,0.125] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.866667 [0.833333,0.833333,1] area_under_roc_curve 0.6 [0.666667,0.333333,1] area_under_roc_curve 0.825 [1,0.75,0.625] area_under_roc_curve 0.708333 [0.583333,1,0.375] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.533333 [0.333333,0.5,1] area_under_roc_curve 0.608333 [0.5,0.583333,0.875] area_under_roc_curve 0.733333 [1,0.833333,0] area_under_roc_curve 0.833333 [1,0.833333,0.5] area_under_roc_curve 0.875 [1,0.75,0.875] area_under_roc_curve 0.941667 [0.916667,1,0.875] area_under_roc_curve 0.866667 [0.833333,0.833333,1] area_under_roc_curve 0.816667 [1,0.666667,0.75] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.8 [0.833333,0.666667,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.625 [0.833333,0.416667,0.625] area_under_roc_curve 0.816667 [1,0.666667,0.75] area_under_roc_curve 0.666667 [0.666667,0.5,1] area_under_roc_curve 0.8 [0.666667,0.833333,1] area_under_roc_curve 0.583333 [1,0.333333,0.25] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.666667 [0.75,0.416667,1] area_under_roc_curve 0.9 [1,1,0.5] area_under_roc_curve 0.733333 [0.666667,0.666667,1] area_under_roc_curve 0.633333 [0.833333,0.5,0.5] area_under_roc_curve 0.466667 [0.333333,0.333333,1] area_under_roc_curve 0.666667 [1,0.666667,0] area_under_roc_curve 0.8 [0.666667,0.833333,1] area_under_roc_curve 0.6 [0.666667,0.333333,1] area_under_roc_curve 0.666667 [0.666667,0.666667,0.0] area_under_roc_curve 0.8 [0.833333,0.666667,1] area_under_roc_curve 0.666667 [0.666667,1,0] area_under_roc_curve 0.325 [0.5,0.25,0.125] area_under_roc_curve 0.8 [0.833333,0.666667,1] area_under_roc_curve 0.533333 [0.5,0.833333,0] area_under_roc_curve 0.266667 [0.166667,0,1] area_under_roc_curve 0.8 [0.833333,0.666667,1] area_under_roc_curve 0.316667 [0.416667,0.25,0.0] area_under_roc_curve 0.733333 [0.5,0.833333,1] area_under_roc_curve 1 [1,1,0.0] area_under_roc_curve 0.666667 [0.75,0.416667,1] area_under_roc_curve 0.6 [0.666667,0.333333,1] area_under_roc_curve 0.741667 [0.833333,0.583333,0.875] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.933333 [0.916667,0.916667,1] area_under_roc_curve 0.9 [0.833333,1,0.0] area_under_roc_curve 1 [1,1,0.0] area_under_roc_curve 0.833333 [0.833333,0.833333,0.0] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.627778 [0.5,0.8,0.666667] f_measure 0.333333 [0.333333,0.5,0] f_measure 0.440476 [0.5,0.571429,0] f_measure 1 [1,1,1] f_measure 0.622222 [0.666667,0.8,0] f_measure 0.761905 [1,0.857143,0] f_measure 0.4 [0,0.8,0] f_measure 0.733333 [0.666667,0.8,0] f_measure 0.539683 [0.857143,0,0.666667] f_measure 0.375 [0.75,0,0] f_measure 0.466667 [0.4,0.666667,0] f_measure 0.666667 [0.666667,0.5,1] f_measure 1 [1,1,0] f_measure 0.190476 [0,0.571429,0] f_measure 0.311111 [0.4,0.333333,0] f_measure 0.666667 [0.666667,0.5,1] f_measure 0.666667 [0.666667,0.5,1] f_measure 0.6 [0.666667,0.8,0] f_measure 0.285714 [0.571429,0,0] f_measure 0.622222 [0.8,0.666667,0] f_measure 0.786667 [0.8,0.666667,1] f_measure 0.4 [0.666667,0,0] f_measure 0.4 [0.4,0.4,0] f_measure 0.780952 [0.857143,0.666667,0] f_measure 0.6 [0.666667,0.5,0] f_measure 0.780952 [0.857143,0.666667,0] f_measure 0.780952 [0.857143,0.666667,0] f_measure 0.786667 [0.8,0.666667,1] f_measure 0.52 [0.8,0.5,0] f_measure 0.786667 [0.666667,0.8,1] f_measure 0.36 [0.5,0.4,0] f_measure 0.62 [0.8,0.5,0] f_measure 0.36 [0.5,0.4,0] f_measure 0.4 [0.4,0.4,0] f_measure 0.133333 [0,0.333333,0] f_measure 0.780952 [0.857143,0.666667,0] f_measure 0.4 [0.666667,0,0] f_measure 0.786667 [0.8,0.666667,1] f_measure 0.72 [0.8,1,0] f_measure 0.533333 [0.666667,0.666667,0] f_measure 0.36 [0.5,0.4,0] f_measure 0.52 [0.5,0.8,0] f_measure 0.6 [0.5,0.5,1] f_measure 0.8 [1,0.666667,0.666667] f_measure 0.72 [1,0.8,0] f_measure 0.786667 [0.8,0.666667,1] f_measure 0.6 [0.5,0.5,1] f_measure 0.266667 [0.666667,0,0] f_measure 0.786667 [0.666667,0.8,1] f_measure 0.786667 [0.8,0.666667,1] f_measure 0.266667 [0.666667,0,0] f_measure 0.52 [0.8,0.5,0] f_measure 0.533333 [0.666667,0.666667,0] f_measure 1 [1,1,1] f_measure 0.6 [0.5,0.5,1] f_measure 0.533333 [0.666667,0.666667,0] f_measure 0.533333 [0.666667,0.666667,0] f_measure 0.228571 [0,0.571429,0] f_measure 0.72 [1,0.8,0] f_measure 0.72 [0.8,1,0] f_measure 0.228571 [0.571429,0,0] f_measure 0.6 [1,0.5,0] f_measure 1 [1,1,1] f_measure 0.466667 [0.666667,0,1] f_measure 1 [1,1,1] f_measure 0.36 [0.5,0.4,0] f_measure 0.6 [1,0.5,0] f_measure 0.133333 [0,0.333333,0] f_measure 0.786667 [0.666667,0.8,1] f_measure 0.6 [1,0.5,0] f_measure 0.786667 [0.666667,0.8,1] f_measure 0.786667 [0.666667,0.8,1] f_measure 0.333333 [0.5,0,0.666667] f_measure 0.72 [0.8,1,0] f_measure 0.52 [0.8,0.5,0] f_measure 0.4 [0.5,0.5,0] f_measure 0.36 [0.4,0.5,0] f_measure 0.6 [1,0.5,0] f_measure 0.786667 [0.666667,0.8,1] f_measure 0.453333 [0.8,0,0.666667] f_measure 0.6 [0.666667,0.5,0] f_measure 0.6 [0.5,0.5,1] f_measure 0.533333 [0.666667,0.666667,0] f_measure 0.36 [0.5,0.4,0] f_measure 0.786667 [0.8,0.666667,1] f_measure 0.52 [0.5,0.8,0] f_measure 0.16 [0.4,0,0] f_measure 0.786667 [0.8,0.666667,1] f_measure 0.4 [0.4,0.4,0] f_measure 0.6 [0.5,0.5,1] f_measure 1 [1,1,0] f_measure 0.6 [0.666667,0.5,0.666667] f_measure 0.333333 [0,0.5,0.666667] f_measure 0.52 [0.8,0.5,0] f_measure 0.786667 [0.8,0.666667,1] f_measure 0.8 [1,0.666667,0.666667] f_measure 0.786667 [0.666667,0.8,1] f_measure 0.566667 [0.5,0.666667,0] f_measure 0.8 [0.8,0.8,0] f_measure 0.8 [0.8,0.8,0] kappa 0.52 kappa -0.090909 kappa 0.217391 kappa 1 kappa 0.454545 kappa 0.7 kappa 0 kappa 0.428571 kappa 0.454545 kappa 0.142857 kappa 0.142857 kappa 0.454545 kappa 1 kappa 0.04 kappa -0.090909 kappa 0.454545 kappa 0.454545 kappa 0.428571 kappa -0.2 kappa 0.454545 kappa 0.6875 kappa -0.071429 kappa -0.153846 kappa 0.545455 kappa 0.166667 kappa 0.545455 kappa 0.545455 kappa 0.6875 kappa 0.333333 kappa 0.6875 kappa 0 kappa 0.375 kappa 0 kappa -0.153846 kappa -0.176471 kappa 0.545455 kappa -0.071429 kappa 0.6875 kappa 0.666667 kappa 0.333333 kappa 0 kappa 0.333333 kappa 0.375 kappa 0.705882 kappa 0.666667 kappa 0.6875 kappa 0.375 kappa 0.0625 kappa 0.6875 kappa 0.6875 kappa 0 kappa 0.333333 kappa 0.333333 kappa 1 kappa 0.375 kappa 0.333333 kappa 0.333333 kappa 0 kappa 0.666667 kappa 0.666667 kappa 0 kappa 0.375 kappa 1 kappa 0.375 kappa 1 kappa 0 kappa 0.375 kappa -0.333333 kappa 0.6875 kappa 0.375 kappa 0.6875 kappa 0.6875 kappa 0.117647 kappa 0.666667 kappa 0.333333 kappa 0.0625 kappa 0 kappa 0.375 kappa 0.6875 kappa 0.411765 kappa 0.166667 kappa 0.375 kappa 0.333333 kappa 0 kappa 0.6875 kappa 0.333333 kappa -0.333333 kappa 0.6875 kappa -0.153846 kappa 0.375 kappa 1 kappa 0.411765 kappa 0.117647 kappa 0.333333 kappa 0.6875 kappa 0.705882 kappa 0.6875 kappa 0.285714 kappa 0.615385 kappa 0.615385 kb_relative_information_score 3.417727 kb_relative_information_score -0.100031 kb_relative_information_score 1.454728 kb_relative_information_score 5.661241 kb_relative_information_score 2.57446 kb_relative_information_score 3.720291 kb_relative_information_score 0.050273 kb_relative_information_score 1.756337 kb_relative_information_score 3.100115 kb_relative_information_score 1.440705 kb_relative_information_score 1.808201 kb_relative_information_score 3.195831 kb_relative_information_score 4.51994 kb_relative_information_score 0.154528 kb_relative_information_score 0.016567 kb_relative_information_score 3.073701 kb_relative_information_score 3.176101 kb_relative_information_score 2.45744 kb_relative_information_score 0.163787 kb_relative_information_score 2.612761 kb_relative_information_score 4.136143 kb_relative_information_score -0.198363 kb_relative_information_score 0.461729 kb_relative_information_score 2.332842 kb_relative_information_score 1.51315 kb_relative_information_score 2.58803 kb_relative_information_score 2.735802 kb_relative_information_score 3.598539 kb_relative_information_score 1.246287 kb_relative_information_score 2.991338 kb_relative_information_score 0.900883 kb_relative_information_score 1.5872 kb_relative_information_score 1.648204 kb_relative_information_score 0.366221 kb_relative_information_score -0.350902 kb_relative_information_score 2.609211 kb_relative_information_score 0.044361 kb_relative_information_score 3.509989 kb_relative_information_score 2.426572 kb_relative_information_score 1.750939 kb_relative_information_score 0.721864 kb_relative_information_score 1.289483 kb_relative_information_score 2.408075 kb_relative_information_score 3.710528 kb_relative_information_score 2.647761 kb_relative_information_score 3.73607 kb_relative_information_score 2.431878 kb_relative_information_score 0.443358 kb_relative_information_score 3.895826 kb_relative_information_score 3.418936 kb_relative_information_score 1.657992 kb_relative_information_score 1.845306 kb_relative_information_score 1.73373 kb_relative_information_score 4.966165 kb_relative_information_score 1.693686 kb_relative_information_score 0.95366 kb_relative_information_score 1.94979 kb_relative_information_score 0.622877 kb_relative_information_score 3.069103 kb_relative_information_score 3.233983 kb_relative_information_score 0.541173 kb_relative_information_score 1.850692 kb_relative_information_score 4.352559 kb_relative_information_score 2.556189 kb_relative_information_score 4.849166 kb_relative_information_score 0.900883 kb_relative_information_score 1.841696 kb_relative_information_score 0.24719 kb_relative_information_score 3.269014 kb_relative_information_score 1.194943 kb_relative_information_score 3.397802 kb_relative_information_score 3.455294 kb_relative_information_score 1.803311 kb_relative_information_score 3.02823 kb_relative_information_score 1.725957 kb_relative_information_score 0.517759 kb_relative_information_score 0.01516 kb_relative_information_score 1.800181 kb_relative_information_score 3.605254 kb_relative_information_score 2.335511 kb_relative_information_score 1.254188 kb_relative_information_score 2.322629 kb_relative_information_score 1.834571 kb_relative_information_score 0.300052 kb_relative_information_score 3.602184 kb_relative_information_score 1.699627 kb_relative_information_score -1.039514 kb_relative_information_score 3.589087 kb_relative_information_score 0.179488 kb_relative_information_score 2.380297 kb_relative_information_score 3.579595 kb_relative_information_score 1.765223 kb_relative_information_score 1.048747 kb_relative_information_score 1.227745 kb_relative_information_score 3.203999 kb_relative_information_score 3.215475 kb_relative_information_score 3.377009 kb_relative_information_score 1.45739 kb_relative_information_score 2.683794 kb_relative_information_score 2.763046 mean_absolute_error 0.212497 mean_absolute_error 0.445628 mean_absolute_error 0.317224 mean_absolute_error 0.043867 mean_absolute_error 0.239537 mean_absolute_error 0.154141 mean_absolute_error 0.438419 mean_absolute_error 0.268579 mean_absolute_error 0.232936 mean_absolute_error 0.281514 mean_absolute_error 0.292451 mean_absolute_error 0.225141 mean_absolute_error 0.053962 mean_absolute_error 0.421065 mean_absolute_error 0.432839 mean_absolute_error 0.238037 mean_absolute_error 0.228353 mean_absolute_error 0.242201 mean_absolute_error 0.41739 mean_absolute_error 0.229439 mean_absolute_error 0.110218 mean_absolute_error 0.424842 mean_absolute_error 0.359076 mean_absolute_error 0.18745 mean_absolute_error 0.258987 mean_absolute_error 0.162288 mean_absolute_error 0.145161 mean_absolute_error 0.15584 mean_absolute_error 0.32355 mean_absolute_error 0.225806 mean_absolute_error 0.352871 mean_absolute_error 0.26248 mean_absolute_error 0.326549 mean_absolute_error 0.365364 mean_absolute_error 0.428778 mean_absolute_error 0.161461 mean_absolute_error 0.398422 mean_absolute_error 0.167508 mean_absolute_error 0.217597 mean_absolute_error 0.278325 mean_absolute_error 0.368967 mean_absolute_error 0.331415 mean_absolute_error 0.268007 mean_absolute_error 0.143713 mean_absolute_error 0.196449 mean_absolute_error 0.139443 mean_absolute_error 0.264338 mean_absolute_error 0.400474 mean_absolute_error 0.124138 mean_absolute_error 0.177665 mean_absolute_error 0.337385 mean_absolute_error 0.26596 mean_absolute_error 0.279217 mean_absolute_error 0.027683 mean_absolute_error 0.341021 mean_absolute_error 0.369149 mean_absolute_error 0.256671 mean_absolute_error 0.383352 mean_absolute_error 0.154695 mean_absolute_error 0.15041 mean_absolute_error 0.387728 mean_absolute_error 0.265317 mean_absolute_error 0.085169 mean_absolute_error 0.250543 mean_absolute_error 0.040354 mean_absolute_error 0.352871 mean_absolute_error 0.266446 mean_absolute_error 0.411081 mean_absolute_error 0.198301 mean_absolute_error 0.339138 mean_absolute_error 0.183411 mean_absolute_error 0.177221 mean_absolute_error 0.316686 mean_absolute_error 0.159709 mean_absolute_error 0.281312 mean_absolute_error 0.393072 mean_absolute_error 0.448931 mean_absolute_error 0.272039 mean_absolute_error 0.159552 mean_absolute_error 0.273481 mean_absolute_error 0.284657 mean_absolute_error 0.278076 mean_absolute_error 0.267414 mean_absolute_error 0.421569 mean_absolute_error 0.156693 mean_absolute_error 0.288125 mean_absolute_error 0.545676 mean_absolute_error 0.158242 mean_absolute_error 0.398988 mean_absolute_error 0.27111 mean_absolute_error 0.075638 mean_absolute_error 0.337626 mean_absolute_error 0.399308 mean_absolute_error 0.325405 mean_absolute_error 0.192475 mean_absolute_error 0.191937 mean_absolute_error 0.186124 mean_absolute_error 0.271031 mean_absolute_error 0.154456 mean_absolute_error 0.144726 mean_prior_absolute_error 0.414141 mean_prior_absolute_error 0.414141 mean_prior_absolute_error 0.414141 mean_prior_absolute_error 0.418182 mean_prior_absolute_error 0.418182 mean_prior_absolute_error 0.418182 mean_prior_absolute_error 0.418182 mean_prior_absolute_error 0.387879 mean_prior_absolute_error 0.414141 mean_prior_absolute_error 0.387879 mean_prior_absolute_error 0.418182 mean_prior_absolute_error 0.414141 mean_prior_absolute_error 0.387879 mean_prior_absolute_error 0.414141 mean_prior_absolute_error 0.414141 mean_prior_absolute_error 0.414141 mean_prior_absolute_error 0.414141 mean_prior_absolute_error 0.414141 mean_prior_absolute_error 0.414141 mean_prior_absolute_error 0.414141 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.385455 mean_prior_absolute_error 0.385455 mean_prior_absolute_error 0.385455 mean_prior_absolute_error 0.385455 mean_prior_absolute_error 0.385455 mean_prior_absolute_error 0.385455 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.390303 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.385455 mean_prior_absolute_error 0.385455 mean_prior_absolute_error 0.385455 mean_prior_absolute_error 0.385455 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.385455 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.390303 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.385455 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.421818 mean_prior_absolute_error 0.385455 mean_prior_absolute_error 0.385455 mean_prior_absolute_error 0.385455 number_of_instances 6 [3,2,1] number_of_instances 6 [3,2,1] number_of_instances 6 [3,2,1] number_of_instances 6 [2,3,1] number_of_instances 6 [2,3,1] number_of_instances 6 [2,3,1] number_of_instances 6 [2,3,1] number_of_instances 6 [3,3,0] number_of_instances 6 [3,2,1] number_of_instances 6 [3,3,0] number_of_instances 6 [2,3,1] 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[0.333333,0.666667,0] precision 0.666667 [0.666667,0.5,1] precision 1 [1,1,0] precision 0.133333 [0,0.4,0] precision 0.333333 [0.5,0.25,0] precision 0.666667 [0.666667,0.5,1] precision 0.666667 [0.666667,0.5,1] precision 0.555556 [0.666667,0.666667,0] precision 0.25 [0.5,0,0] precision 0.666667 [1,0.5,0] precision 0.866667 [0.666667,1,1] precision 0.4 [0.666667,0,0] precision 0.433333 [0.5,0.333333,0] precision 0.85 [0.75,1,0] precision 0.6 [0.666667,0.5,0] precision 0.85 [0.75,1,0] precision 0.85 [0.75,1,0] precision 0.866667 [0.666667,1,1] precision 0.466667 [0.666667,0.5,0] precision 0.866667 [1,0.666667,1] precision 0.333333 [0.5,0.333333,0] precision 0.866667 [0.666667,1,0] precision 0.333333 [0.5,0.333333,0] precision 0.433333 [0.5,0.333333,0] precision 0.1 [0,0.25,0] precision 0.85 [0.75,1,0] precision 0.4 [0.666667,0,0] precision 0.866667 [0.666667,1,1] precision 0.666667 [0.666667,1,0] precision 0.6 [0.5,1,0] precision 0.333333 [0.5,0.333333,0] precision 0.466667 [0.5,0.666667,0] precision 0.6 [0.5,0.5,1] precision 0.9 [1,1,0.5] precision 0.666667 [1,0.666667,0] precision 0.866667 [0.666667,1,1] precision 0.6 [0.5,0.5,1] precision 0.2 [0.5,0,0] precision 0.866667 [1,0.666667,1] precision 0.866667 [0.666667,1,1] precision 0.2 [0.5,0,0] precision 0.466667 [0.666667,0.5,0] precision 0.6 [0.5,1,0] precision 1 [1,1,1] precision 0.6 [0.5,0.5,1] precision 0.6 [1,0.5,0] precision 0.6 [1,0.5,0] precision 0.16 [0,0.4,0] precision 0.666667 [1,0.666667,0] precision 0.666667 [0.666667,1,0] precision 0.16 [0.4,0,0] precision 0.6 [1,0.5,0] precision 1 [1,1,1] precision 0.4 [0.5,0,1] precision 1 [1,1,1] precision 0.333333 [0.5,0.333333,0] precision 0.6 [1,0.5,0] precision 0.1 [0,0.25,0] precision 0.866667 [1,0.666667,1] precision 0.6 [1,0.5,0] precision 0.866667 [1,0.666667,1] precision 0.866667 [1,0.666667,1] precision 0.3 [0.5,0,0.5] precision 0.666667 [0.666667,1,0] precision 0.466667 [0.666667,0.5,0] precision 0.4 [0.5,0.5,0] precision 0.333333 [0.333333,0.5,0] precision 0.6 [1,0.5,0] precision 0.866667 [1,0.666667,1] precision 0.366667 [0.666667,0,0.5] precision 0.6 [0.666667,0.5,0] precision 0.6 [0.5,0.5,1] precision 0.6 [0.5,1,0] precision 0.333333 [0.5,0.333333,0] precision 0.866667 [0.666667,1,1] precision 0.466667 [0.5,0.666667,0] precision 0.133333 [0.333333,0,0] precision 0.866667 [0.666667,1,1] precision 0.433333 [0.333333,0.5,0] precision 0.6 [0.5,0.5,1] precision 1 [1,1,0] precision 0.7 [1,0.5,0.5] precision 0.3 [0,0.5,0.5] precision 0.466667 [0.666667,0.5,0] precision 0.866667 [0.666667,1,1] precision 0.9 [1,1,0.5] precision 0.866667 [1,0.666667,1] precision 0.8 [1,0.5,0] precision 0.866667 [1,0.666667,0] precision 0.866667 [1,0.666667,0] predictive_accuracy 0.666667 predictive_accuracy 0.333333 predictive_accuracy 0.5 predictive_accuracy 1 predictive_accuracy 0.666667 predictive_accuracy 0.833333 predictive_accuracy 0.333333 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.666667 predictive_accuracy 1 predictive_accuracy 0.333333 predictive_accuracy 0.333333 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.333333 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.4 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.4 predictive_accuracy 0.2 predictive_accuracy 0.8 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 1 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 1 predictive_accuracy 0.6 predictive_accuracy 1 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.2 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.2 predictive_accuracy 0.8 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 1 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.8 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 prior_entropy 1.478161 recall 0.666667 [0.333333,1,1] recall 0.333333 [0.333333,0.5,0] recall 0.5 [0.333333,1,0] recall 1 [1,1,1] recall 0.666667 [1,0.666667,0] recall 0.833333 [1,1,0] recall 0.333333 [0,0.666667,0] recall 0.666667 [0.666667,0.666667,0] recall 0.666667 [1,0,1] recall 0.5 [1,0,0] recall 0.5 [0.5,0.666667,0] recall 0.666667 [0.666667,0.5,1] recall 1 [1,1,0] recall 0.333333 [0,1,0] recall 0.333333 [0.333333,0.5,0] recall 0.666667 [0.666667,0.5,1] recall 0.666667 [0.666667,0.5,1] recall 0.666667 [0.666667,1,0] recall 0.333333 [0.666667,0,0] recall 0.666667 [0.666667,1,0] recall 0.8 [1,0.5,1] recall 0.4 [0.666667,0,0] recall 0.4 [0.333333,0.5,0] recall 0.8 [1,0.5,0] recall 0.6 [0.666667,0.5,0] recall 0.8 [1,0.5,0] recall 0.8 [1,0.5,0] recall 0.8 [1,0.5,1] recall 0.6 [1,0.5,0] recall 0.8 [0.5,1,1] recall 0.4 [0.5,0.5,0] recall 0.6 [1,0.333333,0] recall 0.4 [0.5,0.5,0] recall 0.4 [0.333333,0.5,0] recall 0.2 [0,0.5,0] recall 0.8 [1,0.5,0] recall 0.4 [0.666667,0,0] recall 0.8 [1,0.5,1] recall 0.8 [1,1,0] recall 0.6 [1,0.5,0] recall 0.4 [0.5,0.5,0] recall 0.6 [0.5,1,0] recall 0.6 [0.5,0.5,1] recall 0.8 [1,0.5,1] recall 0.8 [1,1,0] recall 0.8 [1,0.5,1] recall 0.6 [0.5,0.5,1] recall 0.4 [1,0,0] recall 0.8 [0.5,1,1] recall 0.8 [1,0.5,1] recall 0.4 [1,0,0] recall 0.6 [1,0.5,0] recall 0.6 [1,0.5,0] recall 1 [1,1,1] recall 0.6 [0.5,0.5,1] recall 0.6 [0.5,1,0] recall 0.6 [0.5,1,0] recall 0.4 [0,1,0] recall 0.8 [1,1,0] recall 0.8 [1,1,0] recall 0.4 [1,0,0] recall 0.6 [1,0.5,0] recall 1 [1,1,1] recall 0.6 [1,0,1] recall 1 [1,1,1] recall 0.4 [0.5,0.5,0] recall 0.6 [1,0.5,0] recall 0.2 [0,0.5,0] recall 0.8 [0.5,1,1] recall 0.6 [1,0.5,0] recall 0.8 [0.5,1,1] recall 0.8 [0.5,1,1] recall 0.4 [0.5,0,1] recall 0.8 [1,1,0] recall 0.6 [1,0.5,0] recall 0.4 [0.5,0.5,0] recall 0.4 [0.5,0.5,0] recall 0.6 [1,0.5,0] recall 0.8 [0.5,1,1] recall 0.6 [1,0,1] recall 0.6 [0.666667,0.5,0] recall 0.6 [0.5,0.5,1] recall 0.6 [1,0.5,0] recall 0.4 [0.5,0.5,0] recall 0.8 [1,0.5,1] recall 0.6 [0.5,1,0] recall 0.2 [0.5,0,0] recall 0.8 [1,0.5,1] recall 0.4 [0.5,0.333333,0] recall 0.6 [0.5,0.5,1] recall 1 [1,1,0] recall 0.6 [0.5,0.5,1] recall 0.4 [0,0.5,1] recall 0.6 [1,0.5,0] recall 0.8 [1,0.5,1] recall 0.8 [1,0.5,1] recall 0.8 [0.5,1,1] recall 0.6 [0.333333,1,0] recall 0.8 [0.666667,1,0] recall 0.8 [0.666667,1,0] relative_absolute_error 0.513103 relative_absolute_error 1.076029 relative_absolute_error 0.76598 relative_absolute_error 0.104899 relative_absolute_error 0.572807 relative_absolute_error 0.368599 relative_absolute_error 1.048392 relative_absolute_error 0.69243 relative_absolute_error 0.562456 relative_absolute_error 0.725778 relative_absolute_error 0.699339 relative_absolute_error 0.543633 relative_absolute_error 0.13912 relative_absolute_error 1.016719 relative_absolute_error 1.045148 relative_absolute_error 0.574773 relative_absolute_error 0.551389 relative_absolute_error 0.584826 relative_absolute_error 1.007845 relative_absolute_error 0.55401 relative_absolute_error 0.261293 relative_absolute_error 1.102183 relative_absolute_error 0.931564 relative_absolute_error 0.486309 relative_absolute_error 0.6719 relative_absolute_error 0.421031 relative_absolute_error 0.376597 relative_absolute_error 0.369448 relative_absolute_error 0.767036 relative_absolute_error 0.535316 relative_absolute_error 0.836549 relative_absolute_error 0.672504 relative_absolute_error 0.774146 relative_absolute_error 0.947877 relative_absolute_error 1.112396 relative_absolute_error 0.418886 relative_absolute_error 1.033643 relative_absolute_error 0.397109 relative_absolute_error 0.515854 relative_absolute_error 0.659821 relative_absolute_error 0.874706 relative_absolute_error 0.785682 relative_absolute_error 0.635361 relative_absolute_error 0.340699 relative_absolute_error 0.46572 relative_absolute_error 0.330576 relative_absolute_error 0.626663 relative_absolute_error 0.949399 relative_absolute_error 0.294292 relative_absolute_error 0.42119 relative_absolute_error 0.799835 relative_absolute_error 0.630508 relative_absolute_error 0.661936 relative_absolute_error 0.065627 relative_absolute_error 0.808456 relative_absolute_error 0.875138 relative_absolute_error 0.608487 relative_absolute_error 0.908808 relative_absolute_error 0.366733 relative_absolute_error 0.356576 relative_absolute_error 0.919182 relative_absolute_error 0.628983 relative_absolute_error 0.201908 relative_absolute_error 0.593961 relative_absolute_error 0.095667 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