396915 2 Joaquin Vanschoren 4280 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_3.7.12 682 sleuth_ex2016 https://www.openml.org/data/download/52982/sleuth_ex2016.arff -1 1388532 description https://api.openml.org/data/download/1388532/weka_generated_run1802933901156922030.xml -1 1388535 model_readable https://api.openml.org/data/download/1388535/WekaModel_weka.classifiers.functions.LibSVM6851414632614952348.model -1 1388534 model_serialized https://api.openml.org/data/download/1388534/WekaSerialized_weka.classifiers.functions.LibSVM2921668752004210378.model -1 1388533 predictions https://api.openml.org/data/download/1388533/weka_generated_predictions3708973236233386618.arff area_under_roc_curve 0.693627 [0.693627,0.693627] average_cost 0 f_measure 0.70545 [0.755043,0.635193] kappa 0.390606 kb_relative_information_score 337.610145 mean_absolute_error 0.293103 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 0.704839 [0.740113,0.654867] predictive_accuracy 0.706897 prior_entropy 0.979412 recall 0.706897 [0.770588,0.616667] relative_absolute_error 0.603751 root_mean_prior_squared_error 0.492516 root_mean_squared_error 0.54139 root_relative_squared_error 1.099234 scimark_benchmark 945.988042 [560.8490563082227, 1014.4538012229739, 483.449727694041, 908.3298941433044, 1762.8577294742872] total_cost 0 usercpu_time_millis 10 usercpu_time_millis_testing 0 usercpu_time_millis_training 10 area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.916667 [0.916667,0.916667] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.916667 [0.916667,0.916667] area_under_roc_curve 0.916667 [0.916667,0.916667] area_under_roc_curve 0.525 [0.525,0.525] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.675 [0.675,0.675] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.675 [0.675,0.675] area_under_roc_curve 0.425 [0.425,0.425] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.675 [0.675,0.675] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.675 [0.675,0.675] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.575 [0.575,0.575] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.575 [0.575,0.575] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.475 [0.475,0.475] area_under_roc_curve 0.525 [0.525,0.525] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.575 [0.575,0.575] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.525 [0.525,0.525] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.675 [0.675,0.675] area_under_roc_curve 0.4 [0.4,0.4] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.583333 [0.583333,0.583333] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.425 [0.425,0.425] area_under_roc_curve 0.525 [0.525,0.525] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.633333 [0.633333,0.633333] area_under_roc_curve 0.566667 [0.566667,0.566667] area_under_roc_curve 0.466667 [0.466667,0.466667] area_under_roc_curve 0.633333 [0.633333,0.633333] area_under_roc_curve 0.733333 [0.733333,0.733333] area_under_roc_curve 0.733333 [0.733333,0.733333] area_under_roc_curve 0.566667 [0.566667,0.566667] area_under_roc_curve 0.733333 [0.733333,0.733333] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.733333 [0.733333,0.733333] area_under_roc_curve 0.633333 [0.633333,0.633333] area_under_roc_curve 0.533333 [0.533333,0.533333] area_under_roc_curve 0.566667 [0.566667,0.566667] area_under_roc_curve 0.633333 [0.633333,0.633333] area_under_roc_curve 0.566667 [0.566667,0.566667] area_under_roc_curve 0.633333 [0.633333,0.633333] area_under_roc_curve 0.633333 [0.633333,0.633333] area_under_roc_curve 0.466667 [0.466667,0.466667] area_under_roc_curve 0.566667 [0.566667,0.566667] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.733333 [0.733333,0.733333] area_under_roc_curve 0.633333 [0.633333,0.633333] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.733333 [0.733333,0.733333] area_under_roc_curve 0.566667 [0.566667,0.566667] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.777778 [0.8,0.75] f_measure 0.891775 [0.909091,0.857143] f_measure 0.555556 [0.6,0.5] f_measure 0.738095 [0.857143,0.5] f_measure 0.891775 [0.909091,0.857143] f_measure 0.891775 [0.909091,0.857143] f_measure 0.518519 [0.666667,0.333333] f_measure 0.675325 [0.727273,0.571429] f_measure 0.666667 [0.666667,0.666667] f_measure 1 [1,1] f_measure 0.888889 [0.888889,0.888889] f_measure 0.658009 [0.727273,0.571429] f_measure 0.777778 [0.8,0.75] f_measure 0.886003 [0.909091,0.857143] f_measure 0.666667 [0.666667,0.666667] f_measure 0.430014 [0.545455,0.285714] f_measure 0.888889 [0.888889,0.888889] f_measure 0.658009 [0.727273,0.571429] f_measure 0.658009 [0.727273,0.571429] f_measure 0.777778 [0.8,0.75] f_measure 0.666667 [0.666667,0.666667] f_measure 0.555556 [0.6,0.5] f_measure 0.759259 [0.833333,0.666667] f_measure 0.605128 [0.769231,0.4] f_measure 0.658009 [0.727273,0.571429] f_measure 0.886003 [0.909091,0.857143] f_measure 0.640693 [0.571429,0.727273] f_measure 0.666667 [0.666667,0.666667] f_measure 0.777778 [0.8,0.75] f_measure 0.544444 [0.5,0.6] f_measure 0.640693 [0.571429,0.727273] f_measure 0.777778 [0.8,0.75] f_measure 0.605128 [0.769231,0.4] f_measure 0.544444 [0.5,0.6] f_measure 0.759259 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0.307692 kappa 0.307692 kappa 0.307692 kappa 0.1 kappa 0.55 kappa 0.341463 kappa -0.216216 kappa 0.55 kappa 0.571429 kappa 0.769231 kappa 0.181818 kappa 0.55 kappa 0.727273 kappa 0.55 kappa -0.153846 kappa 0.052632 kappa 0.5 kappa 0.780488 kappa 0.4 kappa 0.1 kappa 0.75 kappa 0.25 kappa 0.142857 kappa -0.066667 kappa 0.25 kappa 0.466667 kappa 0.466667 kappa 0.142857 kappa 0.466667 kappa 0.714286 kappa 0.466667 kappa 0.25 kappa 0.058824 kappa 0.142857 kappa 0.25 kappa 0.142857 kappa 0.25 kappa 0.25 kappa -0.066667 kappa 0.142857 kappa 0.714286 kappa 0.384615 kappa 0.466667 kappa 0.25 kappa 0.714286 kappa 0.333333 kappa 0.384615 kappa 0.384615 kappa 0.466667 kappa 0.142857 kb_relative_information_score 4.960571 kb_relative_information_score 6.543754 kb_relative_information_score 0.791591 kb_relative_information_score 4.459264 kb_relative_information_score 6.543754 kb_relative_information_score 6.543754 kb_relative_information_score 0.791591 kb_relative_information_score 2.374774 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kb_relative_information_score 0.791591 kb_relative_information_score 4.960571 kb_relative_information_score 7.045061 kb_relative_information_score 7.045061 kb_relative_information_score 7.045061 kb_relative_information_score 4.960571 kb_relative_information_score -1.292899 kb_relative_information_score 0.791591 kb_relative_information_score 2.876081 kb_relative_information_score 0.791591 kb_relative_information_score 4.960571 kb_relative_information_score 2.876081 kb_relative_information_score 0.791591 kb_relative_information_score 7.045061 kb_relative_information_score 2.876081 kb_relative_information_score 4.960571 kb_relative_information_score 4.960571 kb_relative_information_score 2.876081 kb_relative_information_score 2.876081 kb_relative_information_score 2.876081 kb_relative_information_score 0.791591 kb_relative_information_score 4.960571 kb_relative_information_score 2.876081 kb_relative_information_score -1.292899 kb_relative_information_score 4.960571 kb_relative_information_score 4.960571 kb_relative_information_score 7.045061 kb_relative_information_score 2.374774 kb_relative_information_score 4.960571 kb_relative_information_score 6.543754 kb_relative_information_score 4.960571 kb_relative_information_score -1.292899 kb_relative_information_score 0.791591 kb_relative_information_score 4.459264 kb_relative_information_score 7.045061 kb_relative_information_score 4.459264 kb_relative_information_score 0.791591 kb_relative_information_score 5.752163 kb_relative_information_score 1.583183 kb_relative_information_score 1.583183 kb_relative_information_score -0.501307 kb_relative_information_score 1.583183 kb_relative_information_score 3.667673 kb_relative_information_score 3.667673 kb_relative_information_score 1.583183 kb_relative_information_score 3.667673 kb_relative_information_score 5.752163 kb_relative_information_score 3.667673 kb_relative_information_score 1.583183 kb_relative_information_score -0.501307 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mean_absolute_error 0.111111 mean_absolute_error 0.333333 mean_absolute_error 0.222222 mean_absolute_error 0.222222 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.333333 mean_absolute_error 0.444444 mean_absolute_error 0.222222 mean_absolute_error 0.333333 mean_absolute_error 0.555556 mean_absolute_error 0.222222 mean_absolute_error 0.222222 mean_absolute_error 0.111111 mean_absolute_error 0.333333 mean_absolute_error 0.222222 mean_absolute_error 0.111111 mean_absolute_error 0.222222 mean_absolute_error 0.555556 mean_absolute_error 0.444444 mean_absolute_error 0.222222 mean_absolute_error 0.111111 mean_absolute_error 0.222222 mean_absolute_error 0.444444 mean_absolute_error 0.125 mean_absolute_error 0.375 mean_absolute_error 0.375 mean_absolute_error 0.5 mean_absolute_error 0.375 mean_absolute_error 0.25 mean_absolute_error 0.25 mean_absolute_error 0.375 mean_absolute_error 0.25 mean_absolute_error 0.125 mean_absolute_error 0.25 mean_absolute_error 0.375 mean_absolute_error 0.5 mean_absolute_error 0.375 mean_absolute_error 0.375 mean_absolute_error 0.375 mean_absolute_error 0.375 mean_absolute_error 0.375 mean_absolute_error 0.5 mean_absolute_error 0.375 mean_absolute_error 0.125 mean_absolute_error 0.25 mean_absolute_error 0.25 mean_absolute_error 0.375 mean_absolute_error 0.125 mean_absolute_error 0.375 mean_absolute_error 0.25 mean_absolute_error 0.25 mean_absolute_error 0.25 mean_absolute_error 0.375 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 0.777778 [0.8,0.75] precision 0.916667 [1,0.75] precision 0.555556 [0.6,0.5] precision 0.833333 [0.75,1] precision 0.916667 [1,0.75] precision 0.916667 [1,0.75] precision 0.539683 [0.571429,0.5] precision 0.7 [0.8,0.5] precision 0.683333 [0.75,0.6] precision 1 [1,1] precision 0.911111 [1,0.8] precision 0.666667 [0.666667,0.666667] precision 0.777778 [0.8,0.75] precision 0.907407 [0.833333,1] precision 0.683333 [0.75,0.6] precision 0.425926 [0.5,0.333333] precision 0.911111 [1,0.8] precision 0.666667 [0.666667,0.666667] precision 0.666667 [0.666667,0.666667] precision 0.777778 [0.8,0.75] precision 0.683333 [0.75,0.6] precision 0.555556 [0.6,0.5] precision 0.84127 [0.714286,1] precision 0.791667 [0.625,1] precision 0.666667 [0.666667,0.666667] precision 0.907407 [0.833333,1] precision 0.809524 [1,0.571429] precision 0.683333 [0.75,0.6] precision 0.777778 [0.8,0.75] precision 0.592593 [0.666667,0.5] precision 0.809524 [1,0.571429] precision 0.777778 [0.8,0.75] precision 0.791667 [0.625,1] precision 0.592593 [0.666667,0.5] precision 0.84127 [0.714286,1] precision 0.907407 [0.833333,1] precision 0.907407 [0.833333,1] precision 0.911111 [1,0.8] precision 0.777778 [0.8,0.75] precision 0.468254 [0.5,0.428571] precision 0.539683 [0.571429,0.5] precision 0.791667 [0.625,1] precision 0.592593 [0.666667,0.5] precision 0.777778 [0.8,0.75] precision 0.666667 [0.666667,0.666667] precision 0.539683 [0.571429,0.5] precision 0.911111 [1,0.8] precision 0.666667 [0.666667,0.666667] precision 0.84127 [0.714286,1] precision 0.84127 [0.714286,1] 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 0.777778 [0.8,0.75] precision 0.683333 [0.75,0.6] precision 0.277778 [0.5,0] precision 0.777778 [0.8,0.75] precision 0.851852 [1,0.666667] precision 0.907407 [0.833333,1] precision 0.642857 [0.714286,0.5] precision 0.777778 [0.8,0.75] precision 0.904762 [0.857143,1] precision 0.777778 [0.8,0.75] precision 0.425926 [0.5,0.333333] precision 0.539683 [0.571429,0.5] precision 0.777778 [0.833333,0.666667] precision 0.911111 [1,0.8] precision 0.833333 [0.75,1] precision 0.555556 [0.6,0.5] precision 0.90625 [1,0.75] precision 0.65625 [0.75,0.5] precision 0.604167 [0.666667,0.5] precision 0.5 [0.6,0.333333] precision 0.65625 [0.75,0.5] precision 0.75 [0.8,0.666667] precision 0.75 [0.8,0.666667] precision 0.604167 [0.666667,0.5] precision 0.75 [0.8,0.666667] precision 0.895833 [0.833333,1] precision 0.75 [0.8,0.666667] precision 0.65625 [0.75,0.5] precision 0.566667 [0.666667,0.4] precision 0.604167 [0.666667,0.5] precision 0.65625 [0.75,0.5] precision 0.604167 [0.666667,0.5] precision 0.65625 [0.75,0.5] precision 0.65625 [0.75,0.5] precision 0.5 [0.6,0.333333] precision 0.604167 [0.666667,0.5] precision 0.895833 [0.833333,1] precision 0.821429 [0.714286,1] precision 0.75 [0.8,0.666667] precision 0.65625 [0.75,0.5] precision 0.895833 [0.833333,1] precision 0.8125 [1,0.5] precision 0.821429 [0.714286,1] precision 0.821429 [0.714286,1] precision 0.75 [0.8,0.666667] precision 0.604167 [0.666667,0.5] predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.888889 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 1 predictive_accuracy 0.888889 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.666667 predictive_accuracy 0.444444 predictive_accuracy 0.888889 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.888889 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.888889 predictive_accuracy 0.888889 predictive_accuracy 0.777778 predictive_accuracy 0.444444 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 0.888889 predictive_accuracy 0.666667 predictive_accuracy 0.777778 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 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.777778 predictive_accuracy 0.444444 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.777778 predictive_accuracy 0.555556 predictive_accuracy 0.875 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.5 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.5 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.5 predictive_accuracy 0.625 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.875 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.625 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 recall 0.777778 [0.8,0.75] recall 0.888889 [0.833333,1] recall 0.555556 [0.6,0.5] recall 0.777778 [1,0.333333] recall 0.888889 [0.833333,1] recall 0.888889 [0.833333,1] recall 0.555556 [0.8,0.25] recall 0.666667 [0.666667,0.666667] recall 0.666667 [0.6,0.75] recall 1 [1,1] recall 0.888889 [0.8,1] recall 0.666667 [0.8,0.5] recall 0.777778 [0.8,0.75] recall 0.888889 [1,0.75] recall 0.666667 [0.6,0.75] recall 0.444444 [0.6,0.25] recall 0.888889 [0.8,1] recall 0.666667 [0.8,0.5] recall 0.666667 [0.8,0.5] recall 0.777778 [0.8,0.75] recall 0.666667 [0.6,0.75] recall 0.555556 [0.6,0.5] recall 0.777778 [1,0.5] recall 0.666667 [1,0.25] recall 0.666667 [0.8,0.5] recall 0.888889 [1,0.75] recall 0.666667 [0.4,1] recall 0.666667 [0.6,0.75] recall 0.777778 [0.8,0.75] recall 0.555556 [0.4,0.75] recall 0.666667 [0.4,1] recall 0.777778 [0.8,0.75] recall 0.666667 [1,0.25] recall 0.555556 [0.4,0.75] recall 0.777778 [1,0.5] recall 0.888889 [1,0.75] recall 0.888889 [1,0.75] recall 0.888889 [0.8,1] recall 0.777778 [0.8,0.75] recall 0.444444 [0.2,0.75] recall 0.555556 [0.8,0.25] recall 0.666667 [1,0.25] recall 0.555556 [0.4,0.75] recall 0.777778 [0.8,0.75] recall 0.666667 [0.8,0.5] recall 0.555556 [0.8,0.25] recall 0.888889 [0.8,1] recall 0.666667 [0.8,0.5] recall 0.777778 [1,0.5] recall 0.777778 [1,0.5] 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 [0.8,0.75] recall 0.666667 [0.6,0.75] recall 0.444444 [0.8,0] recall 0.777778 [0.8,0.75] recall 0.777778 [0.6,1] recall 0.888889 [1,0.75] recall 0.666667 [0.833333,0.333333] recall 0.777778 [0.8,0.75] recall 0.888889 [1,0.666667] recall 0.777778 [0.8,0.75] recall 0.444444 [0.6,0.25] recall 0.555556 [0.8,0.25] recall 0.777778 [0.833333,0.666667] recall 0.888889 [0.8,1] recall 0.777778 [1,0.333333] recall 0.555556 [0.6,0.5] recall 0.875 [0.8,1] recall 0.625 [0.6,0.666667] recall 0.625 [0.8,0.333333] recall 0.5 [0.6,0.333333] recall 0.625 [0.6,0.666667] recall 0.75 [0.8,0.666667] recall 0.75 [0.8,0.666667] recall 0.625 [0.8,0.333333] recall 0.75 [0.8,0.666667] recall 0.875 [1,0.666667] recall 0.75 [0.8,0.666667] recall 0.625 [0.6,0.666667] recall 0.5 [0.4,0.666667] recall 0.625 [0.8,0.333333] recall 0.625 [0.6,0.666667] recall 0.625 [0.8,0.333333] recall 0.625 [0.6,0.666667] recall 0.625 [0.6,0.666667] recall 0.5 [0.6,0.333333] recall 0.625 [0.8,0.333333] recall 0.875 [1,0.666667] recall 0.75 [1,0.333333] recall 0.75 [0.8,0.666667] recall 0.625 [0.6,0.666667] recall 0.875 [1,0.666667] recall 0.625 [0.4,1] recall 0.75 [1,0.333333] recall 0.75 [1,0.333333] recall 0.75 [0.8,0.666667] recall 0.625 [0.8,0.333333] relative_absolute_error 0.452926 relative_absolute_error 0.23545 relative_absolute_error 0.905852 relative_absolute_error 0.470899 relative_absolute_error 0.23545 relative_absolute_error 0.23545 relative_absolute_error 0.905852 relative_absolute_error 0.706349 relative_absolute_error 0.679389 relative_absolute_error 0 relative_absolute_error 0.226463 relative_absolute_error 0.679389 relative_absolute_error 0.452926 relative_absolute_error 0.226463 relative_absolute_error 0.679389 relative_absolute_error 1.132316 relative_absolute_error 0.226463 relative_absolute_error 0.679389 relative_absolute_error 0.679389 relative_absolute_error 0.452926 relative_absolute_error 0.679389 relative_absolute_error 0.905852 relative_absolute_error 0.452926 relative_absolute_error 0.679389 relative_absolute_error 0.679389 relative_absolute_error 0.226463 relative_absolute_error 0.679389 relative_absolute_error 0.679389 relative_absolute_error 0.452926 relative_absolute_error 0.905852 relative_absolute_error 0.679389 relative_absolute_error 0.452926 relative_absolute_error 0.679389 relative_absolute_error 0.905852 relative_absolute_error 0.452926 relative_absolute_error 0.226463 relative_absolute_error 0.226463 relative_absolute_error 0.226463 relative_absolute_error 0.452926 relative_absolute_error 1.132316 relative_absolute_error 0.905852 relative_absolute_error 0.679389 relative_absolute_error 0.905852 relative_absolute_error 0.452926 relative_absolute_error 0.679389 relative_absolute_error 0.905852 relative_absolute_error 0.226463 relative_absolute_error 0.679389 relative_absolute_error 0.452926 relative_absolute_error 0.452926 relative_absolute_error 0.679389 relative_absolute_error 0.679389 relative_absolute_error 0.679389 relative_absolute_error 0.905852 relative_absolute_error 0.452926 relative_absolute_error 0.679389 relative_absolute_error 1.132316 relative_absolute_error 0.452926 relative_absolute_error 0.452926 relative_absolute_error 0.226463 relative_absolute_error 0.706349 relative_absolute_error 0.452926 relative_absolute_error 0.23545 relative_absolute_error 0.452926 relative_absolute_error 1.132316 relative_absolute_error 0.905852 relative_absolute_error 0.470899 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