413890 2 Joaquin Vanschoren 4280 Supervised Classification predictive_accuracy 1188 weka.END_ND_J48(3) 2039 weka.classifiers.meta.END -- -S 1 -I 10 -W weka.classifiers.meta.nestedDichotomies.ND -- -S 1 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 C 0.25 1068 M 2 1068 S 1 1188 I 10 1188 W weka.classifiers.meta.nestedDichotomies.ND 1188 S 1 1189 W weka.classifiers.trees.J48 1189 weka weka_3.7.12 682 sleuth_ex2016 https://www.openml.org/data/download/52982/sleuth_ex2016.arff -1 1443012 description https://api.openml.org/data/download/1443012/weka_generated_run3132505494391879145.xml -1 1443015 model_readable https://api.openml.org/data/download/1443015/WekaModel_weka.classifiers.meta.END4954407578454071584.model -1 1443014 model_serialized https://api.openml.org/data/download/1443014/WekaSerialized_weka.classifiers.meta.END2416020828690003659.model -1 1443013 predictions https://api.openml.org/data/download/1443013/weka_generated_predictions5705958449443429766.arff area_under_roc_curve 0.610961 [0.610961,0.610961] average_cost 0 f_measure 0.656062 [0.701789,0.591281] kappa 0.293258 kb_relative_information_score 199.659975 mean_absolute_error 0.3768 mean_prior_absolute_error 0.485471 number_of_instances 870 [510,360] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.657288 [0.711694,0.580214] predictive_accuracy 0.655172 prior_entropy 0.979412 recall 0.655172 [0.692157,0.602778] relative_absolute_error 0.776155 root_mean_prior_squared_error 0.492516 root_mean_squared_error 0.552415 root_relative_squared_error 1.121617 scimark_benchmark 922.823156 [534.715120358964, 988.6890749395138, 473.43116282050204, 886.8200001693772, 1730.4604232226736] total_cost 0 usercpu_time_millis 10 usercpu_time_millis_testing 0 usercpu_time_millis_training 10 area_under_roc_curve 0.525 [0.525,0.525] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.583333 [0.583333,0.583333] area_under_roc_curve 0.805556 [0.805556,0.805556] area_under_roc_curve 0.722222 [0.722222,0.722222] area_under_roc_curve 0.275 [0.275,0.275] area_under_roc_curve 0.611111 [0.611111,0.611111] area_under_roc_curve 0.325 [0.325,0.325] area_under_roc_curve 0.527778 [0.527778,0.527778] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.575 [0.575,0.575] area_under_roc_curve 0.4 [0.4,0.4] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.425 [0.425,0.425] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.325 [0.325,0.325] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.25 [0.25,0.25] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.325 [0.325,0.325] area_under_roc_curve 0.425 [0.425,0.425] area_under_roc_curve 0.85 [0.85,0.85] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.475 [0.475,0.475] area_under_roc_curve 0.925 [0.925,0.925] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.675 [0.675,0.675] area_under_roc_curve 0.425 [0.425,0.425] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.525 [0.525,0.525] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.925 [0.925,0.925] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.825 [0.825,0.825] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.925 [0.925,0.925] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.45 [0.45,0.45] area_under_roc_curve 0.85 [0.85,0.85] area_under_roc_curve 0.611111 [0.611111,0.611111] area_under_roc_curve 0.45 [0.45,0.45] area_under_roc_curve 0.333333 [0.333333,0.333333] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.825 [0.825,0.825] area_under_roc_curve 0.416667 [0.416667,0.416667] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.633333 [0.633333,0.633333] area_under_roc_curve 0.533333 [0.533333,0.533333] area_under_roc_curve 0.266667 [0.266667,0.266667] area_under_roc_curve 0.3 [0.3,0.3] area_under_roc_curve 0.433333 [0.433333,0.433333] area_under_roc_curve 0.133333 [0.133333,0.133333] area_under_roc_curve 0.966667 [0.966667,0.966667] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.766667 [0.766667,0.766667] area_under_roc_curve 0.433333 [0.433333,0.433333] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.633333 [0.633333,0.633333] area_under_roc_curve 0.733333 [0.733333,0.733333] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.266667 [0.266667,0.266667] area_under_roc_curve 0.466667 [0.466667,0.466667] area_under_roc_curve 0.466667 [0.466667,0.466667] area_under_roc_curve 0 [0,0] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.433333 [0.433333,0.433333] area_under_roc_curve 0.633333 [0.633333,0.633333] area_under_roc_curve 0.866667 [0.866667,0.866667] area_under_roc_curve 0.433333 [0.433333,0.433333] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.666667 [0.666667,0.666667] f_measure 0.675325 [0.727273,0.571429] f_measure 0.544444 [0.5,0.6] f_measure 0.646154 [0.769231,0.4] f_measure 0.777778 [0.833333,0.666667] f_measure 0.566667 [0.6,0.5] f_measure 0.316667 [0.25,0.4] f_measure 0.566667 [0.6,0.5] f_measure 0.333333 [0.4,0.25] f_measure 0.675325 [0.727273,0.571429] f_measure 0.555556 [0.6,0.5] f_measure 0.658009 [0.727273,0.571429] f_measure 0.481481 [0.333333,0.666667] f_measure 0.777778 [0.8,0.75] f_measure 0.666667 [0.666667,0.666667] f_measure 0.518519 [0.666667,0.333333] f_measure 0.544444 [0.5,0.6] f_measure 0.886003 [0.909091,0.857143] f_measure 0.518519 [0.666667,0.333333] f_measure 0.518519 [0.666667,0.333333] f_measure 0.658009 [0.727273,0.571429] f_measure 0.772222 [0.75,0.8] f_measure 0.777778 [0.8,0.75] f_measure 0.605128 [0.769231,0.4] f_measure 0.759259 [0.833333,0.666667] f_measure 0.886003 [0.909091,0.857143] f_measure 0.444444 [0.444444,0.444444] f_measure 0.430014 [0.545455,0.285714] f_measure 0.640693 [0.571429,0.727273] f_measure 0.666667 [0.666667,0.666667] f_measure 0.640693 [0.571429,0.727273] f_measure 0.658009 [0.727273,0.571429] f_measure 0.396825 [0.714286,0] f_measure 0.772222 [0.75,0.8] f_measure 0.605128 [0.769231,0.4] f_measure 1 [1,1] f_measure 0.886003 [0.909091,0.857143] f_measure 0.555556 [0.6,0.5] f_measure 0.777778 [0.8,0.75] f_measure 0.401154 [0.285714,0.545455] f_measure 0.658009 [0.727273,0.571429] f_measure 0.759259 [0.833333,0.666667] f_measure 0.555556 [0.6,0.5] f_measure 0.759259 [0.833333,0.666667] f_measure 0.555556 [0.6,0.5] f_measure 0.555556 [0.6,0.5] f_measure 0.759259 [0.833333,0.666667] f_measure 0.888889 [0.888889,0.888889] f_measure 0.658009 [0.727273,0.571429] f_measure 0.666667 [0.666667,0.666667] f_measure 0.777778 [0.8,0.75] f_measure 0.518519 [0.666667,0.333333] f_measure 0.886003 [0.909091,0.857143] f_measure 0.544444 [0.5,0.6] f_measure 0.777778 [0.8,0.75] f_measure 0.658009 [0.727273,0.571429] f_measure 0.658009 [0.727273,0.571429] f_measure 0.658009 [0.727273,0.571429] f_measure 0.555556 [0.6,0.5] f_measure 0.759259 [0.833333,0.666667] f_measure 0.675325 [0.727273,0.571429] f_measure 0.444444 [0.444444,0.444444] f_measure 0.242424 [0.363636,0] f_measure 0.777778 [0.8,0.75] f_measure 0.666667 [0.666667,0.666667] f_measure 0.772222 [0.75,0.8] f_measure 0.666667 [0.666667,0.666667] f_measure 0.888889 [0.888889,0.888889] f_measure 0.566667 [0.6,0.5] f_measure 0.640693 [0.571429,0.727273] f_measure 0.630952 [0.666667,0.571429] f_measure 0.630952 [0.666667,0.571429] f_measure 0.416667 [0.666667,0] f_measure 0.5 [0.6,0.333333] f_measure 0.5 [0.5,0.5] f_measure 0.416667 [0.666667,0] f_measure 0.876984 [0.888889,0.857143] f_measure 0.75 [0.75,0.75] f_measure 0.75 [0.8,0.666667] f_measure 0.75 [0.8,0.666667] f_measure 0.604545 [0.727273,0.4] f_measure 0.630952 [0.666667,0.571429] f_measure 0.607143 [0.571429,0.666667] f_measure 0.630952 [0.666667,0.571429] f_measure 0.75 [0.75,0.75] f_measure 0.868182 [0.909091,0.8] f_measure 0.630952 [0.666667,0.571429] f_measure 0.75 [0.8,0.666667] f_measure 0.75 [0.75,0.75] f_measure 0.75 [0.8,0.666667] f_measure 0.75 [0.8,0.666667] f_measure 0.5 [0.6,0.333333] f_measure 0.604545 [0.727273,0.4] f_measure 0.604545 [0.727273,0.4] f_measure 0.480769 [0.769231,0] f_measure 0.630952 [0.666667,0.571429] f_measure 0.5 [0.6,0.333333] f_measure 0.5 [0.6,0.333333] f_measure 0.75 [0.8,0.666667] f_measure 0.480769 [0.769231,0] kappa 0.341463 kappa 0.307692 kappa 0.142857 kappa 0.181818 kappa 0.5 kappa 0.142857 kappa -0.285714 kappa 0.142857 kappa -0.35 kappa 0.307692 kappa 0.1 kappa 0.307692 kappa 0.181818 kappa 0.55 kappa 0.341463 kappa 0.052632 kappa 0.142857 kappa 0.769231 kappa 0.052632 kappa 0.052632 kappa 0.307692 kappa 0.571429 kappa 0.55 kappa 0.27027 kappa 0.526316 kappa 0.769231 kappa -0.097561 kappa -0.153846 kappa 0.372093 kappa 0.341463 kappa 0.372093 kappa 0.307692 kappa 0 kappa 0.571429 kappa 0.27027 kappa 1 kappa 0.769231 kappa 0.1 kappa 0.55 kappa -0.046512 kappa 0.307692 kappa 0.526316 kappa 0.1 kappa 0.526316 kappa 0.1 kappa 0.1 kappa 0.526316 kappa 0.780488 kappa 0.307692 kappa 0.341463 kappa 0.55 kappa 0.052632 kappa 0.769231 kappa 0.142857 kappa 0.55 kappa 0.307692 kappa 0.307692 kappa 0.307692 kappa 0.1 kappa 0.526316 kappa 0.307692 kappa -0.097561 kappa -0.615385 kappa 0.55 kappa 0.341463 kappa 0.571429 kappa 0.4 kappa 0.780488 kappa 0.142857 kappa 0.372093 kappa 0.25 kappa 0.25 kappa -0.230769 kappa -0.066667 kappa 0.058824 kappa -0.230769 kappa 0.75 kappa 0.529412 kappa 0.466667 kappa 0.466667 kappa 0.142857 kappa 0.25 kappa 0.333333 kappa 0.25 kappa 0.529412 kappa 0.714286 kappa 0.25 kappa 0.466667 kappa 0.529412 kappa 0.466667 kappa 0.466667 kappa -0.066667 kappa 0.142857 kappa 0.142857 kappa 0 kappa 0.25 kappa -0.066667 kappa -0.066667 kappa 0.466667 kappa 0 kb_relative_information_score 2.116662 kb_relative_information_score 2.216591 kb_relative_information_score 1.046825 kb_relative_information_score 1.733206 kb_relative_information_score 4.309171 kb_relative_information_score 0.727791 kb_relative_information_score -3.422094 kb_relative_information_score 0.121755 kb_relative_information_score -3.377389 kb_relative_information_score 1.869347 kb_relative_information_score 0.94679 kb_relative_information_score 2.339778 kb_relative_information_score 0.233965 kb_relative_information_score 4.454292 kb_relative_information_score 2.260523 kb_relative_information_score -0.055933 kb_relative_information_score 0.444308 kb_relative_information_score 6.817994 kb_relative_information_score 0.659591 kb_relative_information_score 0.255288 kb_relative_information_score 2.876081 kb_relative_information_score 3.608528 kb_relative_information_score 4.584743 kb_relative_information_score 1.143487 kb_relative_information_score 3.819046 kb_relative_information_score 6.138567 kb_relative_information_score -1.621594 kb_relative_information_score -1.292899 kb_relative_information_score 3.069089 kb_relative_information_score 2.079315 kb_relative_information_score 2.305245 kb_relative_information_score 2.145508 kb_relative_information_score 0.623062 kb_relative_information_score 4.197954 kb_relative_information_score 2.094119 kb_relative_information_score 7.624024 kb_relative_information_score 5.805435 kb_relative_information_score 0.702289 kb_relative_information_score 3.348442 kb_relative_information_score -1.292899 kb_relative_information_score 2.260523 kb_relative_information_score 4.091936 kb_relative_information_score 0.791591 kb_relative_information_score 4.057815 kb_relative_information_score 0.623062 kb_relative_information_score 0.893219 kb_relative_information_score 4.153088 kb_relative_information_score 6.004721 kb_relative_information_score 2.597323 kb_relative_information_score 1.813228 kb_relative_information_score 4.147117 kb_relative_information_score 0.94679 kb_relative_information_score 5.956947 kb_relative_information_score 0.589491 kb_relative_information_score 4.458379 kb_relative_information_score 2.732343 kb_relative_information_score 2.011083 kb_relative_information_score 2.036695 kb_relative_information_score 0.299058 kb_relative_information_score 4.413258 kb_relative_information_score 1.761153 kb_relative_information_score -1.119402 kb_relative_information_score -3.29869 kb_relative_information_score 4.865505 kb_relative_information_score 2.534056 kb_relative_information_score 3.826855 kb_relative_information_score 1.657649 kb_relative_information_score 6.34822 kb_relative_information_score -0.295644 kb_relative_information_score 2.460457 kb_relative_information_score 1.583183 kb_relative_information_score 0.941614 kb_relative_information_score -0.444747 kb_relative_information_score -1.065463 kb_relative_information_score -0.566785 kb_relative_information_score -1.037611 kb_relative_information_score 5.162079 kb_relative_information_score 2.148834 kb_relative_information_score 3.17244 kb_relative_information_score 3.089059 kb_relative_information_score 1.046879 kb_relative_information_score 0.812406 kb_relative_information_score 1.583183 kb_relative_information_score 1.291176 kb_relative_information_score 2.595381 kb_relative_information_score 5.752163 kb_relative_information_score 1.236189 kb_relative_information_score 2.991984 kb_relative_information_score 3.290912 kb_relative_information_score 3.320679 kb_relative_information_score 3.197625 kb_relative_information_score -0.727976 kb_relative_information_score 1.211737 kb_relative_information_score 0.758857 kb_relative_information_score 0.447847 kb_relative_information_score 1.76814 kb_relative_information_score -0.633308 kb_relative_information_score 0.480947 kb_relative_information_score 3.667673 kb_relative_information_score 1.311048 mean_absolute_error 0.385965 mean_absolute_error 0.346914 mean_absolute_error 0.428679 mean_absolute_error 0.378378 mean_absolute_error 0.233333 mean_absolute_error 0.416667 mean_absolute_error 0.665692 mean_absolute_error 0.456456 mean_absolute_error 0.666667 mean_absolute_error 0.369157 mean_absolute_error 0.433333 mean_absolute_error 0.371429 mean_absolute_error 0.483463 mean_absolute_error 0.25731 mean_absolute_error 0.376543 mean_absolute_error 0.5 mean_absolute_error 0.468652 mean_absolute_error 0.126984 mean_absolute_error 0.453968 mean_absolute_error 0.48254 mean_absolute_error 0.333333 mean_absolute_error 0.314886 mean_absolute_error 0.250877 mean_absolute_error 0.449735 mean_absolute_error 0.301127 mean_absolute_error 0.173898 mean_absolute_error 0.577778 mean_absolute_error 0.555556 mean_absolute_error 0.32037 mean_absolute_error 0.389489 mean_absolute_error 0.373722 mean_absolute_error 0.383918 mean_absolute_error 0.456456 mean_absolute_error 0.276153 mean_absolute_error 0.388479 mean_absolute_error 0.104056 mean_absolute_error 0.19716 mean_absolute_error 0.45098 mean_absolute_error 0.329405 mean_absolute_error 0.555556 mean_absolute_error 0.376543 mean_absolute_error 0.28314 mean_absolute_error 0.444444 mean_absolute_error 0.285009 mean_absolute_error 0.456456 mean_absolute_error 0.436111 mean_absolute_error 0.277778 mean_absolute_error 0.184536 mean_absolute_error 0.35249 mean_absolute_error 0.403704 mean_absolute_error 0.279453 mean_absolute_error 0.433333 mean_absolute_error 0.185965 mean_absolute_error 0.458689 mean_absolute_error 0.258025 mean_absolute_error 0.343915 mean_absolute_error 0.393651 mean_absolute_error 0.390351 mean_absolute_error 0.478363 mean_absolute_error 0.260606 mean_absolute_error 0.377287 mean_absolute_error 0.54321 mean_absolute_error 0.603704 mean_absolute_error 0.229167 mean_absolute_error 0.357691 mean_absolute_error 0.301455 mean_absolute_error 0.383934 mean_absolute_error 0.160909 mean_absolute_error 0.485714 mean_absolute_error 0.362573 mean_absolute_error 0.375 mean_absolute_error 0.425676 mean_absolute_error 0.497059 mean_absolute_error 0.542614 mean_absolute_error 0.505435 mean_absolute_error 0.542857 mean_absolute_error 0.171875 mean_absolute_error 0.368421 mean_absolute_error 0.2875 mean_absolute_error 0.295745 mean_absolute_error 0.417857 mean_absolute_error 0.431694 mean_absolute_error 0.375 mean_absolute_error 0.398574 mean_absolute_error 0.334886 mean_absolute_error 0.125 mean_absolute_error 0.402778 mean_absolute_error 0.302778 mean_absolute_error 0.28125 mean_absolute_error 0.277778 mean_absolute_error 0.2875 mean_absolute_error 0.51875 mean_absolute_error 0.406015 mean_absolute_error 0.434524 mean_absolute_error 0.464286 mean_absolute_error 0.361905 mean_absolute_error 0.510714 mean_absolute_error 0.429072 mean_absolute_error 0.25 mean_absolute_error 0.397059 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 number_of_instances 9 [5,4] number_of_instances 9 [6,3] number_of_instances 9 [5,4] number_of_instances 9 [6,3] number_of_instances 9 [6,3] number_of_instances 9 [6,3] number_of_instances 9 [5,4] number_of_instances 9 [6,3] number_of_instances 9 [5,4] number_of_instances 9 [6,3] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [6,3] number_of_instances 9 [5,4] number_of_instances 9 [6,3] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [6,3] number_of_instances 9 [5,4] number_of_instances 9 [6,3] number_of_instances 9 [5,4] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] precision 0.683333 [0.75,0.6] precision 0.7 [0.8,0.5] precision 0.592593 [0.666667,0.5] precision 0.642857 [0.714286,0.5] precision 0.777778 [0.833333,0.666667] precision 0.633333 [0.75,0.4] precision 0.333333 [0.333333,0.333333] precision 0.633333 [0.75,0.4] precision 0.333333 [0.4,0.25] precision 0.7 [0.8,0.5] precision 0.555556 [0.6,0.5] precision 0.666667 [0.666667,0.666667] precision 0.777778 [1,0.5] precision 0.777778 [0.8,0.75] precision 0.683333 [0.75,0.6] precision 0.539683 [0.571429,0.5] precision 0.592593 [0.666667,0.5] precision 0.907407 [0.833333,1] precision 0.539683 [0.571429,0.5] precision 0.539683 [0.571429,0.5] precision 0.666667 [0.666667,0.666667] precision 0.851852 [1,0.666667] precision 0.777778 [0.8,0.75] precision 0.791667 [0.625,1] precision 0.84127 [0.714286,1] precision 0.907407 [0.833333,1] precision 0.455556 [0.5,0.4] precision 0.425926 [0.5,0.333333] precision 0.809524 [1,0.571429] precision 0.683333 [0.75,0.6] precision 0.809524 [1,0.571429] precision 0.666667 [0.666667,0.666667] precision 0.308642 [0.555556,0] precision 0.851852 [1,0.666667] precision 0.791667 [0.625,1] precision 1 [1,1] precision 0.907407 [0.833333,1] precision 0.555556 [0.6,0.5] precision 0.777778 [0.8,0.75] precision 0.468254 [0.5,0.428571] precision 0.666667 [0.666667,0.666667] precision 0.84127 [0.714286,1] precision 0.555556 [0.6,0.5] precision 0.84127 [0.714286,1] precision 0.555556 [0.6,0.5] precision 0.555556 [0.6,0.5] precision 0.84127 [0.714286,1] precision 0.911111 [1,0.8] precision 0.666667 [0.666667,0.666667] precision 0.683333 [0.75,0.6] precision 0.777778 [0.8,0.75] precision 0.539683 [0.571429,0.5] precision 0.907407 [0.833333,1] precision 0.592593 [0.666667,0.5] precision 0.777778 [0.8,0.75] precision 0.666667 [0.666667,0.666667] precision 0.666667 [0.666667,0.666667] precision 0.666667 [0.666667,0.666667] precision 0.555556 [0.6,0.5] precision 0.84127 [0.714286,1] precision 0.7 [0.8,0.5] precision 0.455556 [0.5,0.4] precision 0.266667 [0.4,0] precision 0.777778 [0.8,0.75] precision 0.683333 [0.75,0.6] precision 0.851852 [1,0.666667] precision 0.833333 [1,0.5] precision 0.911111 [1,0.8] precision 0.633333 [0.75,0.4] precision 0.809524 [1,0.571429] precision 0.65625 [0.75,0.5] precision 0.65625 [0.75,0.5] precision 0.357143 [0.571429,0] precision 0.5 [0.6,0.333333] precision 0.566667 [0.666667,0.4] precision 0.357143 [0.571429,0] precision 0.90625 [1,0.75] precision 0.85 [1,0.6] precision 0.75 [0.8,0.666667] precision 0.75 [0.8,0.666667] precision 0.604167 [0.666667,0.5] precision 0.65625 [0.75,0.5] precision 0.8125 [1,0.5] precision 0.65625 [0.75,0.5] precision 0.85 [1,0.6] precision 0.895833 [0.833333,1] precision 0.65625 [0.75,0.5] precision 0.75 [0.8,0.666667] precision 0.85 [1,0.6] precision 0.75 [0.8,0.666667] precision 0.75 [0.8,0.666667] precision 0.5 [0.6,0.333333] precision 0.604167 [0.666667,0.5] precision 0.604167 [0.666667,0.5] precision 0.390625 [0.625,0] precision 0.65625 [0.75,0.5] precision 0.5 [0.6,0.333333] precision 0.5 [0.6,0.333333] precision 0.75 [0.8,0.666667] precision 0.390625 [0.625,0] predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.555556 predictive_accuracy 0.333333 predictive_accuracy 0.555556 predictive_accuracy 0.333333 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.555556 predictive_accuracy 0.888889 predictive_accuracy 0.555556 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.444444 predictive_accuracy 0.444444 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 1 predictive_accuracy 0.888889 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.444444 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.555556 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.555556 predictive_accuracy 0.888889 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.444444 predictive_accuracy 0.222222 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.888889 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.875 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.5 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.75 predictive_accuracy 0.625 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 recall 0.666667 [0.6,0.75] recall 0.666667 [0.666667,0.666667] recall 0.555556 [0.4,0.75] recall 0.666667 [0.833333,0.333333] recall 0.777778 [0.833333,0.666667] recall 0.555556 [0.5,0.666667] recall 0.333333 [0.2,0.5] recall 0.555556 [0.5,0.666667] recall 0.333333 [0.4,0.25] recall 0.666667 [0.666667,0.666667] recall 0.555556 [0.6,0.5] recall 0.666667 [0.8,0.5] recall 0.555556 [0.2,1] recall 0.777778 [0.8,0.75] recall 0.666667 [0.6,0.75] recall 0.555556 [0.8,0.25] recall 0.555556 [0.4,0.75] recall 0.888889 [1,0.75] recall 0.555556 [0.8,0.25] recall 0.555556 [0.8,0.25] recall 0.666667 [0.8,0.5] recall 0.777778 [0.6,1] recall 0.777778 [0.8,0.75] recall 0.666667 [1,0.25] recall 0.777778 [1,0.5] recall 0.888889 [1,0.75] recall 0.444444 [0.4,0.5] recall 0.444444 [0.6,0.25] recall 0.666667 [0.4,1] recall 0.666667 [0.6,0.75] recall 0.666667 [0.4,1] recall 0.666667 [0.8,0.5] recall 0.555556 [1,0] recall 0.777778 [0.6,1] recall 0.666667 [1,0.25] recall 1 [1,1] recall 0.888889 [1,0.75] recall 0.555556 [0.6,0.5] recall 0.777778 [0.8,0.75] recall 0.444444 [0.2,0.75] recall 0.666667 [0.8,0.5] recall 0.777778 [1,0.5] recall 0.555556 [0.6,0.5] recall 0.777778 [1,0.5] recall 0.555556 [0.6,0.5] recall 0.555556 [0.6,0.5] recall 0.777778 [1,0.5] recall 0.888889 [0.8,1] recall 0.666667 [0.8,0.5] recall 0.666667 [0.6,0.75] recall 0.777778 [0.8,0.75] recall 0.555556 [0.8,0.25] recall 0.888889 [1,0.75] recall 0.555556 [0.4,0.75] recall 0.777778 [0.8,0.75] recall 0.666667 [0.8,0.5] recall 0.666667 [0.8,0.5] recall 0.666667 [0.8,0.5] recall 0.555556 [0.6,0.5] recall 0.777778 [1,0.5] recall 0.666667 [0.666667,0.666667] recall 0.444444 [0.4,0.5] recall 0.222222 [0.333333,0] recall 0.777778 [0.8,0.75] recall 0.666667 [0.6,0.75] recall 0.777778 [0.6,1] recall 0.666667 [0.5,1] recall 0.888889 [0.8,1] recall 0.555556 [0.5,0.666667] recall 0.666667 [0.4,1] recall 0.625 [0.6,0.666667] recall 0.625 [0.6,0.666667] recall 0.5 [0.8,0] recall 0.5 [0.6,0.333333] recall 0.5 [0.4,0.666667] recall 0.5 [0.8,0] recall 0.875 [0.8,1] recall 0.75 [0.6,1] recall 0.75 [0.8,0.666667] recall 0.75 [0.8,0.666667] recall 0.625 [0.8,0.333333] recall 0.625 [0.6,0.666667] recall 0.625 [0.4,1] recall 0.625 [0.6,0.666667] recall 0.75 [0.6,1] recall 0.875 [1,0.666667] recall 0.625 [0.6,0.666667] recall 0.75 [0.8,0.666667] recall 0.75 [0.6,1] recall 0.75 [0.8,0.666667] recall 0.75 [0.8,0.666667] recall 0.5 [0.6,0.333333] recall 0.625 [0.8,0.333333] recall 0.625 [0.8,0.333333] recall 0.625 [1,0] recall 0.625 [0.6,0.666667] recall 0.5 [0.6,0.333333] recall 0.5 [0.6,0.333333] recall 0.75 [0.8,0.666667] recall 0.625 [1,0] relative_absolute_error 0.786661 relative_absolute_error 0.735127 relative_absolute_error 0.873719 relative_absolute_error 0.801802 relative_absolute_error 0.494444 relative_absolute_error 0.882937 relative_absolute_error 1.356792 relative_absolute_error 0.967253 relative_absolute_error 1.358779 relative_absolute_error 0.782261 relative_absolute_error 0.883206 relative_absolute_error 0.757034 relative_absolute_error 0.985379 relative_absolute_error 0.524441 relative_absolute_error 0.767458 relative_absolute_error 1.019084 relative_absolute_error 0.955192 relative_absolute_error 0.258815 relative_absolute_error 0.925263 relative_absolute_error 0.983497 relative_absolute_error 0.679389 relative_absolute_error 0.641791 relative_absolute_error 0.51133 relative_absolute_error 0.916636 relative_absolute_error 0.613748 relative_absolute_error 0.354433 relative_absolute_error 1.177608 relative_absolute_error 1.132316 relative_absolute_error 0.652969 relative_absolute_error 0.793845 relative_absolute_error 0.761708 relative_absolute_error 0.78249 relative_absolute_error 0.930335 relative_absolute_error 0.562847 relative_absolute_error 0.791786 relative_absolute_error 0.212084 relative_absolute_error 0.401845 relative_absolute_error 0.919174 relative_absolute_error 0.671383 relative_absolute_error 1.132316 relative_absolute_error 0.767458 relative_absolute_error 0.577087 relative_absolute_error 0.905852 relative_absolute_error 0.580896 relative_absolute_error 0.930335 relative_absolute_error 0.888868 relative_absolute_error 0.566158 relative_absolute_error 0.376114 relative_absolute_error 0.718435 relative_absolute_error 0.822816 relative_absolute_error 0.569573 relative_absolute_error 0.883206 relative_absolute_error 0.379028 relative_absolute_error 0.934886 relative_absolute_error 0.525898 relative_absolute_error 0.700957 relative_absolute_error 0.802327 relative_absolute_error 0.795601 relative_absolute_error 0.974983 relative_absolute_error 0.531159 relative_absolute_error 0.79949 relative_absolute_error 1.107153 relative_absolute_error 1.279277 relative_absolute_error 0.46708 relative_absolute_error 0.729034 relative_absolute_error 0.614416 relative_absolute_error 0.813574 relative_absolute_error 0.327959 relative_absolute_error 1.029252 relative_absolute_error 0.738985 relative_absolute_error 0.782991 relative_absolute_error 0.888801 relative_absolute_error 1.037847 relative_absolute_error 1.132965 relative_absolute_error 1.055336 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