387748 2 Joaquin Vanschoren 4333 Supervised Classification predictive_accuracy 1080 weka.NBTree(3) 1850 weka.classifiers.trees.NBTree weka weka_3.7.12 762 fri_c2_100_10 https://www.openml.org/data/download/53296/fri_c2_100_10.arff -1 1353313 description https://api.openml.org/data/download/1353313/weka_generated_run5757906096286530059.xml -1 1353316 model_readable https://api.openml.org/data/download/1353316/WekaModel_weka.classifiers.trees.NBTree7225897205242601155.model -1 1353315 model_serialized https://api.openml.org/data/download/1353315/WekaSerialized_weka.classifiers.trees.NBTree6680775435105586815.model -1 1353314 predictions https://api.openml.org/data/download/1353314/weka_generated_predictions7133560049423358926.arff area_under_roc_curve 0.770069 [0.770069,0.770069] average_cost 0 f_measure 0.722697 [0.707368,0.735238] kappa 0.444 kb_relative_information_score 370.419414 mean_absolute_error 0.321181 mean_prior_absolute_error 0.495098 number_of_instances 1000 [450,550] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.727 [0.672,0.772] predictive_accuracy 0.722 prior_entropy 0.993055 recall 0.722 [0.746667,0.701818] relative_absolute_error 0.648722 root_mean_prior_squared_error 0.497495 root_mean_squared_error 0.452807 root_relative_squared_error 0.910175 scimark_benchmark 942.380902 [560.3086048901283, 1014.7209476623404, 478.0684770170223, 906.1320781093249, 1752.6744042525834] total_cost 0 usercpu_time_millis 10 usercpu_time_millis_testing 0 usercpu_time_millis_training 10 area_under_roc_curve 0.708333 [0.708333,0.708333] area_under_roc_curve 0.98 [0.98,0.98] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.72 [0.72,0.72] area_under_roc_curve 0.92 [0.92,0.92] area_under_roc_curve 0.770833 [0.770833,0.770833] area_under_roc_curve 0.96 [0.96,0.96] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.82 [0.82,0.82] area_under_roc_curve 0.8125 [0.8125,0.8125] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.645833 [0.645833,0.645833] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.72 [0.72,0.72] area_under_roc_curve 0.68 [0.68,0.68] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.78 [0.78,0.78] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.88 [0.88,0.88] area_under_roc_curve 0.68 [0.68,0.68] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.52 [0.52,0.52] area_under_roc_curve 0.72 [0.72,0.72] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.916667 [0.916667,0.916667] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.54 [0.54,0.54] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.88 [0.88,0.88] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.72 [0.72,0.72] area_under_roc_curve 0.854167 [0.854167,0.854167] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.88 [0.88,0.88] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.78 [0.78,0.78] area_under_roc_curve 0.72 [0.72,0.72] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.5625 [0.5625,0.5625] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.916667 [0.916667,0.916667] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.770833 [0.770833,0.770833] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.333333 [0.333333,0.333333] area_under_roc_curve 0.6875 [0.6875,0.6875] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.458333 [0.458333,0.458333] area_under_roc_curve 0.729167 [0.729167,0.729167] area_under_roc_curve 0.94 [0.94,0.94] area_under_roc_curve 0.708333 [0.708333,0.708333] area_under_roc_curve 0.770833 [0.770833,0.770833] area_under_roc_curve 0.6875 [0.6875,0.6875] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.916667 [0.916667,0.916667] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.9375 [0.9375,0.9375] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.94 [0.94,0.94] area_under_roc_curve 0.583333 [0.583333,0.583333] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.78 [0.78,0.78] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.916667 [0.916667,0.916667] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.770833 [0.770833,0.770833] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.770833 [0.770833,0.770833] area_under_roc_curve 0.708333 [0.708333,0.708333] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.708333 [0.708333,0.708333] area_under_roc_curve 0.875 [0.875,0.875] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.690909 [0.727273,0.666667] f_measure 0.89899 [0.888889,0.909091] f_measure 0.89899 [0.909091,0.888889] f_measure 0.69697 [0.727273,0.666667] f_measure 0.4 [0.4,0.4] f_measure 0.791667 [0.75,0.833333] f_measure 0.69697 [0.727273,0.666667] f_measure 0.8 [0.75,0.833333] f_measure 0.89899 [0.909091,0.888889] f_measure 0.89899 [0.909091,0.888889] f_measure 0.6 [0.6,0.6] f_measure 0.8 [0.8,0.8] f_measure 1 [1,1] f_measure 0.69697 [0.666667,0.727273] f_measure 0.896703 [0.857143,0.923077] f_measure 0.69697 [0.727273,0.666667] f_measure 0.89899 [0.909091,0.888889] f_measure 0.70303 [0.666667,0.727273] f_measure 0.67033 [0.769231,0.571429] f_measure 0.791667 [0.833333,0.75] f_measure 0.69011 [0.571429,0.769231] f_measure 1 [1,1] f_measure 0.52381 [0.714286,0.333333] f_measure 0.583333 [0.5,0.666667] f_measure 0.6 [0.6,0.6] f_measure 0.8 [0.8,0.8] f_measure 0.67033 [0.571429,0.769231] f_measure 0.896703 [0.857143,0.923077] f_measure 0.8 [0.8,0.8] f_measure 0.6 [0.6,0.6] f_measure 0.561905 [0.333333,0.714286] f_measure 0.494949 [0.444444,0.545455] f_measure 0.583333 [0.666667,0.5] f_measure 0.89899 [0.909091,0.888889] f_measure 0.8 [0.8,0.8] f_measure 0.583333 [0.666667,0.5] f_measure 0.6 [0.6,0.6] f_measure 0.4 [0.4,0.4] f_measure 0.6 [0.6,0.6] f_measure 0.583333 [0.5,0.666667] f_measure 0.8 [0.75,0.833333] f_measure 0.69697 [0.727273,0.666667] f_measure 0.583333 [0.5,0.666667] f_measure 0.67033 [0.571429,0.769231] f_measure 0.70303 [0.666667,0.727273] f_measure 0.8 [0.8,0.8] f_measure 0.8 [0.8,0.8] f_measure 0.6 [0.6,0.6] f_measure 0.791667 [0.75,0.833333] f_measure 0.8 [0.8,0.8] f_measure 0.69697 [0.727273,0.666667] f_measure 0.505051 [0.444444,0.545455] f_measure 0.70303 [0.666667,0.727273] f_measure 0.690909 [0.727273,0.666667] f_measure 0.89899 [0.909091,0.888889] f_measure 0.8 [0.8,0.8] f_measure 0.690909 [0.727273,0.666667] f_measure 0.4 [0.4,0.4] f_measure 0.780952 [0.666667,0.857143] f_measure 0.896703 [0.857143,0.923077] f_measure 0.285714 [0.571429,0] f_measure 0.484848 [0.545455,0.444444] f_measure 0.561905 [0.333333,0.714286] f_measure 0.6 [0.6,0.6] f_measure 0.6 [0.6,0.6] f_measure 1 [1,1] f_measure 0.70303 [0.666667,0.727273] f_measure 0.89899 [0.909091,0.888889] f_measure 0.4 [0.4,0.4] f_measure 0.70303 [0.666667,0.727273] f_measure 0.8 [0.8,0.8] f_measure 0.70303 [0.666667,0.727273] f_measure 0.690909 [0.727273,0.666667] f_measure 0.6 [0.6,0.6] f_measure 0.8 [0.8,0.8] f_measure 0.8 [0.8,0.8] f_measure 0.70303 [0.666667,0.727273] f_measure 0.67033 [0.769231,0.571429] f_measure 0.70303 [0.666667,0.727273] f_measure 0.690909 [0.727273,0.666667] f_measure 0.450549 [0.615385,0.285714] f_measure 0.8 [0.8,0.8] f_measure 0.8 [0.75,0.833333] f_measure 0.8 [0.75,0.833333] f_measure 0.67033 [0.571429,0.769231] f_measure 0.6 [0.5,0.666667] f_measure 0.70303 [0.666667,0.727273] f_measure 0.583333 [0.5,0.666667] f_measure 1 [1,1] f_measure 0.69011 [0.571429,0.769231] f_measure 0.89899 [0.888889,0.909091] f_measure 0.90101 [0.888889,0.909091] f_measure 0.780952 [0.666667,0.857143] f_measure 0.6 [0.6,0.6] f_measure 0.8 [0.8,0.8] f_measure 0.8 [0.75,0.833333] f_measure 0.8 [0.75,0.833333] f_measure 0.89899 [0.888889,0.909091] f_measure 0.6 [0.5,0.666667] f_measure 0.896703 [0.857143,0.923077] kappa 0.444444 kappa 0.8 kappa 0.8 kappa 0.4 kappa -0.153846 kappa 0.6 kappa 0.4 kappa 0.583333 kappa 0.8 kappa 0.8 kappa 0.230769 kappa 0.6 kappa 1 kappa 0.4 kappa 0.782609 kappa 0.4 kappa 0.8 kappa 0.4 kappa 0.4 kappa 0.6 kappa 0.347826 kappa 1 kappa 0.2 kappa 0.2 kappa 0.230769 kappa 0.6 kappa 0.4 kappa 0.782609 kappa 0.6 kappa 0.2 kappa 0.090909 kappa 0 kappa 0.2 kappa 0.8 kappa 0.615385 kappa 0.2 kappa 0.2 kappa -0.153846 kappa 0.2 kappa 0.2 kappa 0.583333 kappa 0.4 kappa 0.2 kappa 0.4 kappa 0.4 kappa 0.6 kappa 0.6 kappa 0.230769 kappa 0.6 kappa 0.6 kappa 0.4 kappa 0 kappa 0.4 kappa 0.444444 kappa 0.8 kappa 0.615385 kappa 0.444444 kappa -0.2 kappa 0.545455 kappa 0.782609 kappa -0.2 kappa 0.074074 kappa 0.090909 kappa 0.230769 kappa 0.2 kappa 1 kappa 0.4 kappa 0.8 kappa -0.153846 kappa 0.4 kappa 0.6 kappa 0.4 kappa 0.444444 kappa 0.230769 kappa 0.6 kappa 0.615385 kappa 0.4 kappa 0.4 kappa 0.4 kappa 0.444444 kappa 0 kappa 0.615385 kappa 0.583333 kappa 0.583333 kappa 0.4 kappa 0.166667 kappa 0.4 kappa 0.2 kappa 1 kappa 0.347826 kappa 0.8 kappa 0.8 kappa 0.545455 kappa 0.230769 kappa 0.6 kappa 0.583333 kappa 0.583333 kappa 0.8 kappa 0.166667 kappa 0.782609 kb_relative_information_score 1.728645 kb_relative_information_score 6.808467 kb_relative_information_score 5.743248 kb_relative_information_score 3.05503 kb_relative_information_score -1.383654 kb_relative_information_score 4.296459 kb_relative_information_score 3.98382 kb_relative_information_score 5.022798 kb_relative_information_score 6.384274 kb_relative_information_score 6.483535 kb_relative_information_score 2.657237 kb_relative_information_score 3.968038 kb_relative_information_score 7.548349 kb_relative_information_score 3.511762 kb_relative_information_score 6.664885 kb_relative_information_score 3.12522 kb_relative_information_score 7.963419 kb_relative_information_score 3.840828 kb_relative_information_score 3.606781 kb_relative_information_score 5.629891 kb_relative_information_score 2.335085 kb_relative_information_score 7.03872 kb_relative_information_score 2.523455 kb_relative_information_score 1.743437 kb_relative_information_score 1.686347 kb_relative_information_score 3.033718 kb_relative_information_score 3.022267 kb_relative_information_score 6.325528 kb_relative_information_score 5.195152 kb_relative_information_score 1.823598 kb_relative_information_score 1.866594 kb_relative_information_score 0.348253 kb_relative_information_score 2.960372 kb_relative_information_score 6.269624 kb_relative_information_score 5.539004 kb_relative_information_score 3.807201 kb_relative_information_score 1.45672 kb_relative_information_score -1.221713 kb_relative_information_score 1.560938 kb_relative_information_score 2.169464 kb_relative_information_score 4.637948 kb_relative_information_score 4.509775 kb_relative_information_score 1.153588 kb_relative_information_score 3.175616 kb_relative_information_score 3.809377 kb_relative_information_score 4.839538 kb_relative_information_score 6.188685 kb_relative_information_score 1.939483 kb_relative_information_score 4.942926 kb_relative_information_score 4.758413 kb_relative_information_score 3.955469 kb_relative_information_score -0.033431 kb_relative_information_score 3.354321 kb_relative_information_score 3.221821 kb_relative_information_score 6.40565 kb_relative_information_score 5.138985 kb_relative_information_score 3.486736 kb_relative_information_score -0.565535 kb_relative_information_score 3.760895 kb_relative_information_score 6.05975 kb_relative_information_score -0.642686 kb_relative_information_score -0.35018 kb_relative_information_score 1.710857 kb_relative_information_score 1.939483 kb_relative_information_score 1.646464 kb_relative_information_score 7.181784 kb_relative_information_score 2.671613 kb_relative_information_score 6.849019 kb_relative_information_score -0.852809 kb_relative_information_score 2.908804 kb_relative_information_score 5.309854 kb_relative_information_score 3.131867 kb_relative_information_score 2.880347 kb_relative_information_score 1.610105 kb_relative_information_score 5.639961 kb_relative_information_score 5.825921 kb_relative_information_score 3.295798 kb_relative_information_score 4.125399 kb_relative_information_score 3.108588 kb_relative_information_score 3.056128 kb_relative_information_score -0.023364 kb_relative_information_score 4.570906 kb_relative_information_score 5.268328 kb_relative_information_score 4.073051 kb_relative_information_score 4.975632 kb_relative_information_score 1.414449 kb_relative_information_score 2.873603 kb_relative_information_score 2.068291 kb_relative_information_score 8.456783 kb_relative_information_score 2.683285 kb_relative_information_score 6.395015 kb_relative_information_score 6.432567 kb_relative_information_score 4.692689 kb_relative_information_score 2.155188 kb_relative_information_score 5.272096 kb_relative_information_score 4.745602 kb_relative_information_score 4.651438 kb_relative_information_score 5.751505 kb_relative_information_score 1.808834 kb_relative_information_score 6.244396 mean_absolute_error 0.413277 mean_absolute_error 0.182827 mean_absolute_error 0.246467 mean_absolute_error 0.363066 mean_absolute_error 0.541406 mean_absolute_error 0.310109 mean_absolute_error 0.315128 mean_absolute_error 0.250152 mean_absolute_error 0.199248 mean_absolute_error 0.202849 mean_absolute_error 0.355135 mean_absolute_error 0.329121 mean_absolute_error 0.161902 mean_absolute_error 0.335107 mean_absolute_error 0.175114 mean_absolute_error 0.357861 mean_absolute_error 0.121508 mean_absolute_error 0.303481 mean_absolute_error 0.331667 mean_absolute_error 0.240225 mean_absolute_error 0.376118 mean_absolute_error 0.18808 mean_absolute_error 0.373659 mean_absolute_error 0.419988 mean_absolute_error 0.405835 mean_absolute_error 0.3633 mean_absolute_error 0.365188 mean_absolute_error 0.190593 mean_absolute_error 0.263425 mean_absolute_error 0.412085 mean_absolute_error 0.394794 mean_absolute_error 0.479898 mean_absolute_error 0.35032 mean_absolute_error 0.216637 mean_absolute_error 0.22905 mean_absolute_error 0.308912 mean_absolute_error 0.436345 mean_absolute_error 0.539172 mean_absolute_error 0.429627 mean_absolute_error 0.391147 mean_absolute_error 0.273853 mean_absolute_error 0.291399 mean_absolute_error 0.452702 mean_absolute_error 0.355452 mean_absolute_error 0.300448 mean_absolute_error 0.279734 mean_absolute_error 0.203833 mean_absolute_error 0.390963 mean_absolute_error 0.272856 mean_absolute_error 0.284111 mean_absolute_error 0.315658 mean_absolute_error 0.485674 mean_absolute_error 0.324274 mean_absolute_error 0.337522 mean_absolute_error 0.209104 mean_absolute_error 0.250803 mean_absolute_error 0.320918 mean_absolute_error 0.516227 mean_absolute_error 0.324943 mean_absolute_error 0.212227 mean_absolute_error 0.525905 mean_absolute_error 0.503506 mean_absolute_error 0.402318 mean_absolute_error 0.390963 mean_absolute_error 0.421455 mean_absolute_error 0.158744 mean_absolute_error 0.36342 mean_absolute_error 0.190652 mean_absolute_error 0.520964 mean_absolute_error 0.354162 mean_absolute_error 0.250955 mean_absolute_error 0.341587 mean_absolute_error 0.356357 mean_absolute_error 0.409976 mean_absolute_error 0.229087 mean_absolute_error 0.210695 mean_absolute_error 0.330533 mean_absolute_error 0.306109 mean_absolute_error 0.342509 mean_absolute_error 0.342008 mean_absolute_error 0.501958 mean_absolute_error 0.278788 mean_absolute_error 0.236012 mean_absolute_error 0.307535 mean_absolute_error 0.259724 mean_absolute_error 0.421229 mean_absolute_error 0.351106 mean_absolute_error 0.396178 mean_absolute_error 0.08919 mean_absolute_error 0.368174 mean_absolute_error 0.208776 mean_absolute_error 0.189778 mean_absolute_error 0.27097 mean_absolute_error 0.376307 mean_absolute_error 0.249833 mean_absolute_error 0.267676 mean_absolute_error 0.273703 mean_absolute_error 0.246972 mean_absolute_error 0.398425 mean_absolute_error 0.201352 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.490196 mean_prior_absolute_error 0.490196 number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] precision 0.828571 [0.571429,1] precision 0.916667 [1,0.833333] precision 0.916667 [0.833333,1] precision 0.708333 [0.666667,0.75] precision 0.433333 [0.333333,0.5] precision 0.857143 [1,0.714286] precision 0.708333 [0.666667,0.75] precision 0.8 [0.75,0.833333] precision 0.916667 [0.833333,1] precision 0.916667 [0.833333,1] precision 0.65 [0.5,0.75] precision 0.8 [0.8,0.8] precision 1 [1,1] precision 0.708333 [0.75,0.666667] precision 0.914286 [1,0.857143] precision 0.708333 [0.666667,0.75] precision 0.916667 [0.833333,1] precision 0.72 [0.6,0.8] precision 0.8125 [0.625,1] precision 0.857143 [0.714286,1] precision 0.695238 [0.666667,0.714286] precision 1 [1,1] precision 0.777778 [0.555556,1] precision 0.619048 [0.666667,0.571429] precision 0.65 [0.5,0.75] precision 0.8 [0.8,0.8] precision 0.8125 [1,0.625] precision 0.914286 [1,0.857143] precision 0.8 [0.8,0.8] precision 0.6 [0.6,0.6] precision 0.575 [0.5,0.625] precision 0.5 [0.5,0.5] precision 0.619048 [0.571429,0.666667] precision 0.916667 [0.833333,1] precision 0.866667 [0.666667,1] precision 0.619048 [0.571429,0.666667] precision 0.6 [0.6,0.6] precision 0.433333 [0.333333,0.5] precision 0.6 [0.6,0.6] precision 0.619048 [0.666667,0.571429] precision 0.8 [0.75,0.833333] precision 0.708333 [0.666667,0.75] precision 0.619048 [0.666667,0.571429] precision 0.8125 [1,0.625] precision 0.72 [0.6,0.8] precision 0.8 [0.8,0.8] precision 0.8 [0.8,0.8] precision 0.65 [0.5,0.75] precision 0.857143 [1,0.714286] precision 0.8 [0.8,0.8] precision 0.708333 [0.666667,0.75] precision 0.52 [0.4,0.6] precision 0.72 [0.6,0.8] precision 0.828571 [0.571429,1] precision 0.916667 [0.833333,1] precision 0.866667 [0.666667,1] precision 0.828571 [0.571429,1] precision 0.4 [0.4,0.4] precision 0.85 [1,0.75] precision 0.914286 [1,0.857143] precision 0.222222 [0.444444,0] precision 0.571429 [0.428571,0.666667] precision 0.575 [0.5,0.625] precision 0.65 [0.5,0.75] precision 0.6 [0.6,0.6] precision 1 [1,1] precision 0.72 [0.6,0.8] precision 0.916667 [0.833333,1] precision 0.433333 [0.333333,0.5] precision 0.72 [0.6,0.8] precision 0.8 [0.8,0.8] precision 0.72 [0.6,0.8] precision 0.828571 [0.571429,1] precision 0.65 [0.5,0.75] precision 0.8 [0.8,0.8] precision 0.866667 [0.666667,1] precision 0.72 [0.6,0.8] precision 0.8125 [0.625,1] precision 0.72 [0.6,0.8] precision 0.828571 [0.571429,1] precision 0.5 [0.5,0.5] precision 0.866667 [0.666667,1] precision 0.8 [0.75,0.833333] precision 0.8 [0.75,0.833333] precision 0.8125 [1,0.625] precision 0.6 [0.5,0.666667] precision 0.72 [0.6,0.8] precision 0.619048 [0.666667,0.571429] precision 1 [1,1] precision 0.695238 [0.666667,0.714286] precision 0.916667 [1,0.833333] precision 0.92 [0.8,1] precision 0.85 [1,0.75] precision 0.65 [0.5,0.75] precision 0.8 [0.8,0.8] precision 0.8 [0.75,0.833333] precision 0.8 [0.75,0.833333] precision 0.916667 [1,0.833333] precision 0.6 [0.5,0.666667] precision 0.914286 [1,0.857143] predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 1 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 1 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.6 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.5 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.4 predictive_accuracy 0.5 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 1 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.4 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.5 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 1 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.6 predictive_accuracy 0.9 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 prior_entropy 0.993055 recall 0.7 [1,0.5] recall 0.9 [0.8,1] recall 0.9 [1,0.8] recall 0.7 [0.8,0.6] recall 0.4 [0.5,0.333333] recall 0.8 [0.6,1] recall 0.7 [0.8,0.6] recall 0.8 [0.75,0.833333] recall 0.9 [1,0.8] recall 0.9 [1,0.8] recall 0.6 [0.75,0.5] recall 0.8 [0.8,0.8] recall 1 [1,1] recall 0.7 [0.6,0.8] recall 0.9 [0.75,1] recall 0.7 [0.8,0.6] recall 0.9 [1,0.8] recall 0.7 [0.75,0.666667] recall 0.7 [1,0.4] recall 0.8 [1,0.6] recall 0.7 [0.5,0.833333] recall 1 [1,1] recall 0.6 [1,0.2] recall 0.6 [0.4,0.8] recall 0.6 [0.75,0.5] recall 0.8 [0.8,0.8] recall 0.7 [0.4,1] recall 0.9 [0.75,1] recall 0.8 [0.8,0.8] recall 0.6 [0.6,0.6] recall 0.6 [0.25,0.833333] recall 0.5 [0.4,0.6] recall 0.6 [0.8,0.4] recall 0.9 [1,0.8] recall 0.8 [1,0.666667] recall 0.6 [0.8,0.4] recall 0.6 [0.6,0.6] recall 0.4 [0.5,0.333333] recall 0.6 [0.6,0.6] recall 0.6 [0.4,0.8] recall 0.8 [0.75,0.833333] recall 0.7 [0.8,0.6] recall 0.6 [0.4,0.8] recall 0.7 [0.4,1] recall 0.7 [0.75,0.666667] recall 0.8 [0.8,0.8] recall 0.8 [0.8,0.8] recall 0.6 [0.75,0.5] recall 0.8 [0.6,1] recall 0.8 [0.8,0.8] recall 0.7 [0.8,0.6] recall 0.5 [0.5,0.5] recall 0.7 [0.75,0.666667] recall 0.7 [1,0.5] recall 0.9 [1,0.8] recall 0.8 [1,0.666667] recall 0.7 [1,0.5] recall 0.4 [0.4,0.4] recall 0.8 [0.5,1] recall 0.9 [0.75,1] recall 0.4 [0.8,0] recall 0.5 [0.75,0.333333] recall 0.6 [0.25,0.833333] recall 0.6 [0.75,0.5] recall 0.6 [0.6,0.6] recall 1 [1,1] recall 0.7 [0.75,0.666667] recall 0.9 [1,0.8] recall 0.4 [0.5,0.333333] recall 0.7 [0.75,0.666667] recall 0.8 [0.8,0.8] recall 0.7 [0.75,0.666667] recall 0.7 [1,0.5] recall 0.6 [0.75,0.5] recall 0.8 [0.8,0.8] recall 0.8 [1,0.666667] recall 0.7 [0.75,0.666667] recall 0.7 [1,0.4] recall 0.7 [0.75,0.666667] recall 0.7 [1,0.5] recall 0.5 [0.8,0.2] recall 0.8 [1,0.666667] recall 0.8 [0.75,0.833333] recall 0.8 [0.75,0.833333] recall 0.7 [0.4,1] recall 0.6 [0.5,0.666667] recall 0.7 [0.75,0.666667] recall 0.6 [0.4,0.8] recall 1 [1,1] recall 0.7 [0.5,0.833333] recall 0.9 [0.8,1] recall 0.9 [1,0.833333] recall 0.8 [0.5,1] recall 0.6 [0.75,0.5] recall 0.8 [0.8,0.8] recall 0.8 [0.75,0.833333] recall 0.8 [0.75,0.833333] recall 0.9 [0.8,1] recall 0.6 [0.5,0.666667] recall 0.9 [0.75,1] relative_absolute_error 0.843085 relative_absolute_error 0.365654 relative_absolute_error 0.492933 relative_absolute_error 0.726132 relative_absolute_error 1.104468 relative_absolute_error 0.620218 relative_absolute_error 0.630256 relative_absolute_error 0.51031 relative_absolute_error 0.398496 relative_absolute_error 0.405698 relative_absolute_error 0.724475 relative_absolute_error 0.658242 relative_absolute_error 0.323804 relative_absolute_error 0.670215 relative_absolute_error 0.357232 relative_absolute_error 0.715722 relative_absolute_error 0.243016 relative_absolute_error 0.619101 relative_absolute_error 0.663333 relative_absolute_error 0.48045 relative_absolute_error 0.767281 relative_absolute_error 0.376161 relative_absolute_error 0.747318 relative_absolute_error 0.839975 relative_absolute_error 0.827903 relative_absolute_error 0.7266 relative_absolute_error 0.730375 relative_absolute_error 0.388809 relative_absolute_error 0.52685 relative_absolute_error 0.82417 relative_absolute_error 0.805379 relative_absolute_error 0.959796 relative_absolute_error 0.700641 relative_absolute_error 0.433274 relative_absolute_error 0.467261 relative_absolute_error 0.617823 relative_absolute_error 0.872689 relative_absolute_error 1.09991 relative_absolute_error 0.859253 relative_absolute_error 0.782294 relative_absolute_error 0.55866 relative_absolute_error 0.582798 relative_absolute_error 0.905403 relative_absolute_error 0.710905 relative_absolute_error 0.612914 relative_absolute_error 0.559469 relative_absolute_error 0.407666 relative_absolute_error 0.797565 relative_absolute_error 0.545711 relative_absolute_error 0.568222 relative_absolute_error 0.631317 relative_absolute_error 0.990774 relative_absolute_error 0.661518 relative_absolute_error 0.688544 relative_absolute_error 0.418207 relative_absolute_error 0.511638 relative_absolute_error 0.654673 relative_absolute_error 1.032454 relative_absolute_error 0.662883 relative_absolute_error 0.432942 relative_absolute_error 1.051809 relative_absolute_error 1.027152 relative_absolute_error 0.820729 relative_absolute_error 0.797565 relative_absolute_error 0.84291 relative_absolute_error 0.323839 relative_absolute_error 0.741377 relative_absolute_error 0.381303 relative_absolute_error 1.062767 relative_absolute_error 0.722489 relative_absolute_error 0.501909 relative_absolute_error 0.696838 relative_absolute_error 0.726967 relative_absolute_error 0.836351 relative_absolute_error 0.458174 relative_absolute_error 0.429818 relative_absolute_error 0.674288 relative_absolute_error 0.612217 relative_absolute_error 0.698719 relative_absolute_error 0.697696 relative_absolute_error 1.003917 relative_absolute_error 0.568728 relative_absolute_error 0.481464 relative_absolute_error 0.627371 relative_absolute_error 0.519447 relative_absolute_error 0.859307 relative_absolute_error 0.716256 relative_absolute_error 0.792356 relative_absolute_error 0.181947 relative_absolute_error 0.751075 relative_absolute_error 0.417552 relative_absolute_error 0.387147 relative_absolute_error 0.552778 relative_absolute_error 0.767667 relative_absolute_error 0.499667 relative_absolute_error 0.546058 relative_absolute_error 0.558354 relative_absolute_error 0.493945 relative_absolute_error 0.812787 relative_absolute_error 0.410758 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.502397 root_mean_prior_squared_error 0.492543 root_mean_prior_squared_error 0.502397 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