471748 2 Joaquin Vanschoren 4333 Supervised Classification predictive_accuracy 1172 weka.LibSVM(2) 1924 weka.classifiers.functions.LibSVM -- -S 0 -K 2 -D 3 -G 0.0 -R 0.0 -N 0.5 -M 40.0 -C 1.0 -E 0.001 -P 0.1 -model /Users/joa/Downloads/weka-3-7-12 -seed 1 S 0 1172 K 2 1172 D 3 1172 G 0.0 1172 R 0.0 1172 C 1.0 1172 N 0.5 1172 P 0.1 1172 M 40.0 1172 E 0.001 1172 model /Users/joa/Downloads/weka-3-7-12 1172 seed 1 1172 weka weka_3.7.12 762 fri_c2_100_10 https://www.openml.org/data/download/53296/fri_c2_100_10.arff -1 1661157 description https://api.openml.org/data/download/1661157/weka_generated_run90262403824136649.xml -1 1661160 model_readable https://api.openml.org/data/download/1661160/WekaModel_weka.classifiers.functions.LibSVM1703504530975657746.model -1 1661159 model_serialized https://api.openml.org/data/download/1661159/WekaSerialized_weka.classifiers.functions.LibSVM8441493668282119079.model -1 1661158 predictions https://api.openml.org/data/download/1661158/weka_generated_predictions7537629209694623340.arff area_under_roc_curve 0.735051 [0.735051,0.735051] average_cost 0 f_measure 0.74168 [0.691657,0.782609] kappa 0.477138 kb_relative_information_score 482.575387 mean_absolute_error 0.255 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 0.746596 [0.758621,0.736758] predictive_accuracy 0.745 prior_entropy 0.993055 recall 0.745 [0.635556,0.834545] relative_absolute_error 0.51505 root_mean_prior_squared_error 0.497495 root_mean_squared_error 0.504975 root_relative_squared_error 1.015036 scimark_benchmark 944.106679 [554.6075200566928, 1014.9881711071126, 482.58056402979616, 911.1714049642114, 1757.1857345400422] total_cost 0 usercpu_time_millis 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 area_under_roc_curve 0.708333 [0.708333,0.708333] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.583333 [0.583333,0.583333] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.583333 [0.583333,0.583333] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.708333 [0.708333,0.708333] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.458333 [0.458333,0.458333] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.916667 [0.916667,0.916667] area_under_roc_curve 0.4 [0.4,0.4] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.916667 [0.916667,0.916667] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.916667 [0.916667,0.916667] area_under_roc_curve 0.458333 [0.458333,0.458333] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.583333 [0.583333,0.583333] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.583333 [0.583333,0.583333] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.583333 [0.583333,0.583333] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.708333 [0.708333,0.708333] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.583333 [0.583333,0.583333] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.916667 [0.916667,0.916667] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.916667 [0.916667,0.916667] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.541667 [0.541667,0.541667] area_under_roc_curve 0.75 [0.75,0.75] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.70303 [0.666667,0.727273] f_measure 0.67033 [0.571429,0.769231] f_measure 0.791667 [0.75,0.833333] f_measure 0.6 [0.6,0.6] f_measure 0.8 [0.75,0.833333] f_measure 0.67033 [0.571429,0.769231] f_measure 0.8 [0.8,0.8] f_measure 0.6 [0.5,0.666667] f_measure 0.791667 [0.75,0.833333] f_measure 0.791667 [0.75,0.833333] f_measure 0.8 [0.75,0.833333] f_measure 0.69697 [0.666667,0.727273] f_measure 0.89899 [0.888889,0.909091] f_measure 0.67033 [0.571429,0.769231] f_measure 0.45 [0,0.75] f_measure 0.69697 [0.666667,0.727273] f_measure 0.89899 [0.888889,0.909091] f_measure 0.6 [0.5,0.666667] f_measure 0.69697 [0.727273,0.666667] f_measure 0.8 [0.8,0.8] f_measure 0.896703 [0.857143,0.923077] f_measure 1 [1,1] f_measure 0.69697 [0.727273,0.666667] f_measure 0.67033 [0.571429,0.769231] f_measure 0.70303 [0.666667,0.727273] f_measure 0.69697 [0.666667,0.727273] f_measure 0.69697 [0.666667,0.727273] f_measure 0.8 [0.75,0.833333] f_measure 0.8 [0.8,0.8] f_measure 0.494949 [0.444444,0.545455] f_measure 0.69011 [0.571429,0.769231] f_measure 0.52381 [0.333333,0.714286] f_measure 0.69697 [0.666667,0.727273] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 0.89899 [0.888889,0.909091] f_measure 0.450549 [0.285714,0.615385] f_measure 0.6 [0.6,0.6] f_measure 0.6 [0.6,0.6] f_measure 0.69697 [0.666667,0.727273] f_measure 0.8 [0.75,0.833333] f_measure 0.69697 [0.666667,0.727273] f_measure 0.69697 [0.666667,0.727273] f_measure 0.52381 [0.333333,0.714286] f_measure 0.780952 [0.666667,0.857143] f_measure 0.8 [0.8,0.8] f_measure 0.89899 [0.888889,0.909091] f_measure 0.780952 [0.666667,0.857143] f_measure 0.69697 [0.666667,0.727273] f_measure 0.89899 [0.888889,0.909091] f_measure 0.89899 [0.909091,0.888889] f_measure 0.483516 [0.285714,0.615385] f_measure 0.896703 [0.857143,0.923077] f_measure 0.780952 [0.666667,0.857143] f_measure 0.6 [0.6,0.6] f_measure 0.896703 [0.857143,0.923077] f_measure 0.90101 [0.888889,0.909091] f_measure 0.375 [0.25,0.5] f_measure 0.896703 [0.857143,0.923077] f_measure 0.505051 [0.444444,0.545455] f_measure 0.583333 [0.5,0.666667] f_measure 0.690909 [0.727273,0.666667] f_measure 0.69011 [0.571429,0.769231] f_measure 0.90101 [0.888889,0.909091] f_measure 0.69697 [0.666667,0.727273] f_measure 0.90101 [0.888889,0.909091] f_measure 0.483516 [0.285714,0.615385] f_measure 0.8 [0.8,0.8] f_measure 0.6 [0.5,0.666667] f_measure 0.780952 [0.666667,0.857143] f_measure 0.67033 [0.571429,0.769231] f_measure 0.8 [0.8,0.8] f_measure 0.505051 [0.444444,0.545455] f_measure 0.6 [0.5,0.666667] f_measure 0.69697 [0.666667,0.727273] f_measure 0.8 [0.75,0.833333] f_measure 0.6 [0.5,0.666667] f_measure 0.89899 [0.888889,0.909091] f_measure 0.896703 [0.857143,0.923077] f_measure 0.69011 [0.571429,0.769231] f_measure 0.6 [0.6,0.6] f_measure 1 [1,1] f_measure 0.896703 [0.857143,0.923077] f_measure 0.70303 [0.666667,0.727273] f_measure 0.791667 [0.75,0.833333] f_measure 0.6 [0.5,0.666667] f_measure 0.69011 [0.571429,0.769231] f_measure 0.69697 [0.666667,0.727273] f_measure 0.8 [0.75,0.833333] f_measure 0.8 [0.75,0.833333] f_measure 0.583333 [0.5,0.666667] f_measure 0.780952 [0.666667,0.857143] f_measure 0.780952 [0.666667,0.857143] f_measure 0.90101 [0.888889,0.909091] f_measure 0.8 [0.8,0.8] f_measure 0.896703 [0.857143,0.923077] f_measure 0.90101 [0.888889,0.909091] f_measure 0.89899 [0.888889,0.909091] f_measure 0.561905 [0.333333,0.714286] f_measure 0.780952 [0.666667,0.857143] kappa 0.4 kappa 0.4 kappa 0.6 kappa 0.2 kappa 0.583333 kappa 0.4 kappa 0.6 kappa 0.166667 kappa 0.6 kappa 0.6 kappa 0.583333 kappa 0.4 kappa 0.8 kappa 0.4 kappa 0 kappa 0.4 kappa 0.8 kappa 0.166667 kappa 0.4 kappa 0.6 kappa 0.782609 kappa 1 kappa 0.4 kappa 0.4 kappa 0.4 kappa 0.4 kappa 0.4 kappa 0.583333 kappa 0.6 kappa 0 kappa 0.347826 kappa 0.2 kappa 0.4 kappa 1 kappa 1 kappa 0.8 kappa 0 kappa 0.230769 kappa 0.2 kappa 0.4 kappa 0.583333 kappa 0.4 kappa 0.4 kappa 0.2 kappa 0.545455 kappa 0.6 kappa 0.8 kappa 0.545455 kappa 0.4 kappa 0.8 kappa 0.8 kappa -0.086957 kappa 0.782609 kappa 0.545455 kappa 0.2 kappa 0.782609 kappa 0.8 kappa -0.2 kappa 0.782609 kappa 0 kappa 0.2 kappa 0.444444 kappa 0.347826 kappa 0.8 kappa 0.4 kappa 0.8 kappa -0.086957 kappa 0.6 kappa 0.166667 kappa 0.545455 kappa 0.4 kappa 0.615385 kappa 0 kappa 0.166667 kappa 0.4 kappa 0.583333 kappa 0.166667 kappa 0.8 kappa 0.782609 kappa 0.347826 kappa 0.2 kappa 1 kappa 0.782609 kappa 0.4 kappa 0.6 kappa 0.166667 kappa 0.347826 kappa 0.4 kappa 0.583333 kappa 0.583333 kappa 0.2 kappa 0.545455 kappa 0.545455 kappa 0.8 kappa 0.6 kappa 0.782609 kappa 0.8 kappa 0.8 kappa 0.090909 kappa 0.545455 kb_relative_information_score 3.770257 kb_relative_information_score 4.056035 kb_relative_information_score 6.084052 kb_relative_information_score 2.028017 kb_relative_information_score 5.798275 kb_relative_information_score 4.056035 kb_relative_information_score 6.084052 kb_relative_information_score 1.74224 kb_relative_information_score 6.084052 kb_relative_information_score 6.084052 kb_relative_information_score 5.798275 kb_relative_information_score 4.056035 kb_relative_information_score 8.11207 kb_relative_information_score 4.056035 kb_relative_information_score 1.74224 kb_relative_information_score 4.056035 kb_relative_information_score 8.11207 kb_relative_information_score 1.74224 kb_relative_information_score 4.056035 kb_relative_information_score 6.084052 kb_relative_information_score 7.826292 kb_relative_information_score 10.140087 kb_relative_information_score 4.056035 kb_relative_information_score 4.056035 kb_relative_information_score 3.770257 kb_relative_information_score 4.056035 kb_relative_information_score 4.056035 kb_relative_information_score 5.798275 kb_relative_information_score 6.084052 kb_relative_information_score 0 kb_relative_information_score 3.770257 kb_relative_information_score 2.028017 kb_relative_information_score 4.056035 kb_relative_information_score 10.140087 kb_relative_information_score 9.854309 kb_relative_information_score 8.11207 kb_relative_information_score 0 kb_relative_information_score 1.74224 kb_relative_information_score 2.028017 kb_relative_information_score 4.056035 kb_relative_information_score 5.798275 kb_relative_information_score 4.056035 kb_relative_information_score 4.056035 kb_relative_information_score 2.028017 kb_relative_information_score 5.798275 kb_relative_information_score 6.084052 kb_relative_information_score 8.11207 kb_relative_information_score 5.798275 kb_relative_information_score 4.056035 kb_relative_information_score 8.11207 kb_relative_information_score 8.11207 kb_relative_information_score -0.285778 kb_relative_information_score 7.826292 kb_relative_information_score 5.798275 kb_relative_information_score 2.028017 kb_relative_information_score 7.826292 kb_relative_information_score 7.826292 kb_relative_information_score -2.028017 kb_relative_information_score 7.826292 kb_relative_information_score -0.285778 kb_relative_information_score 2.028017 kb_relative_information_score 3.770257 kb_relative_information_score 3.770257 kb_relative_information_score 7.826292 kb_relative_information_score 4.056035 kb_relative_information_score 7.826292 kb_relative_information_score -0.285778 kb_relative_information_score 6.084052 kb_relative_information_score 1.74224 kb_relative_information_score 5.798275 kb_relative_information_score 4.056035 kb_relative_information_score 5.798275 kb_relative_information_score -0.285778 kb_relative_information_score 1.74224 kb_relative_information_score 4.056035 kb_relative_information_score 5.798275 kb_relative_information_score 1.74224 kb_relative_information_score 8.11207 kb_relative_information_score 7.826292 kb_relative_information_score 3.770257 kb_relative_information_score 2.028017 kb_relative_information_score 9.854309 kb_relative_information_score 7.826292 kb_relative_information_score 3.770257 kb_relative_information_score 6.084052 kb_relative_information_score 1.74224 kb_relative_information_score 3.770257 kb_relative_information_score 4.056035 kb_relative_information_score 5.798275 kb_relative_information_score 5.798275 kb_relative_information_score 2.028017 kb_relative_information_score 5.798275 kb_relative_information_score 5.798275 kb_relative_information_score 7.826292 kb_relative_information_score 6.084052 kb_relative_information_score 7.826292 kb_relative_information_score 7.826292 kb_relative_information_score 8.11207 kb_relative_information_score 1.74224 kb_relative_information_score 5.798275 mean_absolute_error 0.3 mean_absolute_error 0.3 mean_absolute_error 0.2 mean_absolute_error 0.4 mean_absolute_error 0.2 mean_absolute_error 0.3 mean_absolute_error 0.2 mean_absolute_error 0.4 mean_absolute_error 0.2 mean_absolute_error 0.2 mean_absolute_error 0.2 mean_absolute_error 0.3 mean_absolute_error 0.1 mean_absolute_error 0.3 mean_absolute_error 0.4 mean_absolute_error 0.3 mean_absolute_error 0.1 mean_absolute_error 0.4 mean_absolute_error 0.3 mean_absolute_error 0.2 mean_absolute_error 0.1 mean_absolute_error 0 mean_absolute_error 0.3 mean_absolute_error 0.3 mean_absolute_error 0.3 mean_absolute_error 0.3 mean_absolute_error 0.3 mean_absolute_error 0.2 mean_absolute_error 0.2 mean_absolute_error 0.5 mean_absolute_error 0.3 mean_absolute_error 0.4 mean_absolute_error 0.3 mean_absolute_error 0 mean_absolute_error 0 mean_absolute_error 0.1 mean_absolute_error 0.5 mean_absolute_error 0.4 mean_absolute_error 0.4 mean_absolute_error 0.3 mean_absolute_error 0.2 mean_absolute_error 0.3 mean_absolute_error 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mean_absolute_error 0.2 mean_absolute_error 0.4 mean_absolute_error 0.3 mean_absolute_error 0.3 mean_absolute_error 0.2 mean_absolute_error 0.2 mean_absolute_error 0.4 mean_absolute_error 0.2 mean_absolute_error 0.2 mean_absolute_error 0.1 mean_absolute_error 0.2 mean_absolute_error 0.1 mean_absolute_error 0.1 mean_absolute_error 0.1 mean_absolute_error 0.4 mean_absolute_error 0.2 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 0.72 [0.6,0.8] precision 0.8125 [1,0.625] precision 0.857143 [1,0.714286] precision 0.6 [0.6,0.6] precision 0.8 [0.75,0.833333] precision 0.8125 [1,0.625] precision 0.8 [0.8,0.8] precision 0.6 [0.5,0.666667] precision 0.857143 [1,0.714286] precision 0.857143 [1,0.714286] precision 0.8 [0.75,0.833333] precision 0.708333 [0.75,0.666667] precision 0.916667 [1,0.833333] precision 0.8125 [1,0.625] precision 0.36 [0,0.6] precision 0.708333 [0.75,0.666667] precision 0.916667 [1,0.833333] precision 0.6 [0.5,0.666667] precision 0.708333 [0.666667,0.75] precision 0.8 [0.8,0.8] precision 0.914286 [1,0.857143] precision 1 [1,1] precision 0.708333 [0.666667,0.75] precision 0.8125 [1,0.625] precision 0.72 [0.6,0.8] precision 0.708333 [0.75,0.666667] precision 0.708333 [0.75,0.666667] precision 0.8 [0.75,0.833333] precision 0.8 [0.8,0.8] precision 0.5 [0.5,0.5] precision 0.695238 [0.666667,0.714286] precision 0.777778 [1,0.555556] precision 0.708333 [0.75,0.666667] precision 1 [1,1] precision 1 [1,1] precision 0.916667 [1,0.833333] precision 0.5 [0.5,0.5] precision 0.65 [0.5,0.75] precision 0.6 [0.6,0.6] precision 0.708333 [0.75,0.666667] precision 0.8 [0.75,0.833333] precision 0.708333 [0.75,0.666667] precision 0.708333 [0.75,0.666667] precision 0.777778 [1,0.555556] precision 0.85 [1,0.75] precision 0.8 [0.8,0.8] precision 0.916667 [1,0.833333] precision 0.85 [1,0.75] precision 0.708333 [0.75,0.666667] precision 0.916667 [1,0.833333] precision 0.916667 [0.833333,1] precision 0.47619 [0.333333,0.571429] precision 0.914286 [1,0.857143] precision 0.85 [1,0.75] precision 0.6 [0.6,0.6] precision 0.914286 [1,0.857143] precision 0.92 [0.8,1] precision 0.380952 [0.333333,0.428571] precision 0.914286 [1,0.857143] precision 0.52 [0.4,0.6] precision 0.619048 [0.666667,0.571429] precision 0.828571 [0.571429,1] precision 0.695238 [0.666667,0.714286] precision 0.92 [0.8,1] precision 0.708333 [0.75,0.666667] precision 0.92 [0.8,1] precision 0.47619 [0.333333,0.571429] precision 0.8 [0.8,0.8] precision 0.6 [0.5,0.666667] precision 0.85 [1,0.75] precision 0.8125 [1,0.625] precision 0.866667 [0.666667,1] precision 0.52 [0.4,0.6] precision 0.6 [0.5,0.666667] precision 0.708333 [0.75,0.666667] precision 0.8 [0.75,0.833333] precision 0.6 [0.5,0.666667] precision 0.916667 [1,0.833333] precision 0.914286 [1,0.857143] precision 0.695238 [0.666667,0.714286] precision 0.6 [0.6,0.6] precision 1 [1,1] precision 0.914286 [1,0.857143] precision 0.72 [0.6,0.8] precision 0.857143 [1,0.714286] precision 0.6 [0.5,0.666667] precision 0.695238 [0.666667,0.714286] precision 0.708333 [0.75,0.666667] precision 0.8 [0.75,0.833333] precision 0.8 [0.75,0.833333] precision 0.619048 [0.666667,0.571429] precision 0.85 [1,0.75] precision 0.85 [1,0.75] precision 0.92 [0.8,1] precision 0.8 [0.8,0.8] precision 0.914286 [1,0.857143] precision 0.92 [0.8,1] precision 0.916667 [1,0.833333] precision 0.575 [0.5,0.625] precision 0.85 [1,0.75] predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 1 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.5 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.9 predictive_accuracy 0.5 predictive_accuracy 0.6 predictive_accuracy 0.6 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 0.9 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.5 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.4 predictive_accuracy 0.9 predictive_accuracy 0.5 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.5 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.5 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 1 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.8 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 0.9 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.6 predictive_accuracy 0.8 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 [0.75,0.666667] recall 0.7 [0.4,1] recall 0.8 [0.6,1] recall 0.6 [0.6,0.6] recall 0.8 [0.75,0.833333] recall 0.7 [0.4,1] recall 0.8 [0.8,0.8] recall 0.6 [0.5,0.666667] recall 0.8 [0.6,1] recall 0.8 [0.6,1] recall 0.8 [0.75,0.833333] recall 0.7 [0.6,0.8] recall 0.9 [0.8,1] recall 0.7 [0.4,1] recall 0.6 [0,1] recall 0.7 [0.6,0.8] recall 0.9 [0.8,1] recall 0.6 [0.5,0.666667] recall 0.7 [0.8,0.6] recall 0.8 [0.8,0.8] recall 0.9 [0.75,1] recall 1 [1,1] recall 0.7 [0.8,0.6] recall 0.7 [0.4,1] recall 0.7 [0.75,0.666667] recall 0.7 [0.6,0.8] recall 0.7 [0.6,0.8] recall 0.8 [0.75,0.833333] recall 0.8 [0.8,0.8] recall 0.5 [0.4,0.6] recall 0.7 [0.5,0.833333] recall 0.6 [0.2,1] recall 0.7 [0.6,0.8] recall 1 [1,1] recall 1 [1,1] recall 0.9 [0.8,1] recall 0.5 [0.2,0.8] recall 0.6 [0.75,0.5] recall 0.6 [0.6,0.6] recall 0.7 [0.6,0.8] recall 0.8 [0.75,0.833333] recall 0.7 [0.6,0.8] recall 0.7 [0.6,0.8] recall 0.6 [0.2,1] recall 0.8 [0.5,1] recall 0.8 [0.8,0.8] recall 0.9 [0.8,1] recall 0.8 [0.5,1] recall 0.7 [0.6,0.8] recall 0.9 [0.8,1] recall 0.9 [1,0.8] recall 0.5 [0.25,0.666667] recall 0.9 [0.75,1] recall 0.8 [0.5,1] recall 0.6 [0.6,0.6] recall 0.9 [0.75,1] recall 0.9 [1,0.833333] recall 0.4 [0.2,0.6] recall 0.9 [0.75,1] recall 0.5 [0.5,0.5] recall 0.6 [0.4,0.8] recall 0.7 [1,0.5] recall 0.7 [0.5,0.833333] recall 0.9 [1,0.833333] recall 0.7 [0.6,0.8] recall 0.9 [1,0.833333] recall 0.5 [0.25,0.666667] recall 0.8 [0.8,0.8] recall 0.6 [0.5,0.666667] recall 0.8 [0.5,1] recall 0.7 [0.4,1] recall 0.8 [1,0.666667] recall 0.5 [0.5,0.5] recall 0.6 [0.5,0.666667] recall 0.7 [0.6,0.8] recall 0.8 [0.75,0.833333] recall 0.6 [0.5,0.666667] recall 0.9 [0.8,1] recall 0.9 [0.75,1] recall 0.7 [0.5,0.833333] recall 0.6 [0.6,0.6] recall 1 [1,1] recall 0.9 [0.75,1] recall 0.7 [0.75,0.666667] recall 0.8 [0.6,1] recall 0.6 [0.5,0.666667] recall 0.7 [0.5,0.833333] recall 0.7 [0.6,0.8] recall 0.8 [0.75,0.833333] recall 0.8 [0.75,0.833333] recall 0.6 [0.4,0.8] recall 0.8 [0.5,1] recall 0.8 [0.5,1] recall 0.9 [1,0.833333] recall 0.8 [0.8,0.8] recall 0.9 [0.75,1] recall 0.9 [1,0.833333] recall 0.9 [0.8,1] recall 0.6 [0.25,0.833333] recall 0.8 [0.5,1] relative_absolute_error 0.612 relative_absolute_error 0.6 relative_absolute_error 0.4 relative_absolute_error 0.8 relative_absolute_error 0.408 relative_absolute_error 0.6 relative_absolute_error 0.4 relative_absolute_error 0.816 relative_absolute_error 0.4 relative_absolute_error 0.4 relative_absolute_error 0.408 relative_absolute_error 0.6 relative_absolute_error 0.2 relative_absolute_error 0.6 relative_absolute_error 0.816 relative_absolute_error 0.6 relative_absolute_error 0.2 relative_absolute_error 0.816 relative_absolute_error 0.6 relative_absolute_error 0.4 relative_absolute_error 0.204 relative_absolute_error 0 relative_absolute_error 0.6 relative_absolute_error 0.6 relative_absolute_error 0.612 relative_absolute_error 0.6 relative_absolute_error 0.6 relative_absolute_error 0.408 relative_absolute_error 0.4 relative_absolute_error 1 relative_absolute_error 0.612 relative_absolute_error 0.8 relative_absolute_error 0.6 relative_absolute_error 0 relative_absolute_error 0 relative_absolute_error 0.2 relative_absolute_error 1 relative_absolute_error 0.816 relative_absolute_error 0.8 relative_absolute_error 0.6 relative_absolute_error 0.408 relative_absolute_error 0.6 relative_absolute_error 0.6 relative_absolute_error 0.8 relative_absolute_error 0.408 relative_absolute_error 0.4 relative_absolute_error 0.2 relative_absolute_error 0.408 relative_absolute_error 0.6 relative_absolute_error 0.2 relative_absolute_error 0.2 relative_absolute_error 1.02 relative_absolute_error 0.204 relative_absolute_error 0.408 relative_absolute_error 0.8 relative_absolute_error 0.204 relative_absolute_error 0.204 relative_absolute_error 1.2 relative_absolute_error 0.204 relative_absolute_error 1.02 relative_absolute_error 0.8 relative_absolute_error 0.612 relative_absolute_error 0.612 relative_absolute_error 0.204 relative_absolute_error 0.6 relative_absolute_error 0.204 relative_absolute_error 1.02 relative_absolute_error 0.4 relative_absolute_error 0.816 relative_absolute_error 0.408 relative_absolute_error 0.6 relative_absolute_error 0.408 relative_absolute_error 1.02 relative_absolute_error 0.816 relative_absolute_error 0.6 relative_absolute_error 0.408 relative_absolute_error 0.816 relative_absolute_error 0.2 relative_absolute_error 0.204 relative_absolute_error 0.612 relative_absolute_error 0.8 relative_absolute_error 0 relative_absolute_error 0.204 relative_absolute_error 0.612 relative_absolute_error 0.4 relative_absolute_error 0.816 relative_absolute_error 0.612 relative_absolute_error 0.6 relative_absolute_error 0.408 relative_absolute_error 0.408 relative_absolute_error 0.8 relative_absolute_error 0.408 relative_absolute_error 0.408 relative_absolute_error 0.204 relative_absolute_error 0.4 relative_absolute_error 0.204 relative_absolute_error 0.204 relative_absolute_error 0.2 relative_absolute_error 0.816 relative_absolute_error 0.408 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 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 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