419155 2 Joaquin Vanschoren 4280 Supervised Classification predictive_accuracy 1192 weka.MultiBoostAB_DecisionStump(3) 2048 weka.classifiers.meta.MultiBoostAB -- -C 3 -P 100 -S 1 -I 40 -W weka.classifiers.trees.DecisionStump C 3 1192 P 100 1192 S 1 1192 I 40 1192 W weka.classifiers.trees.DecisionStump 1192 weka weka_3.7.12 682 sleuth_ex2016 https://www.openml.org/data/download/52982/sleuth_ex2016.arff -1 1463960 description https://api.openml.org/data/download/1463960/weka_generated_run5473797430563576517.xml -1 1463963 model_readable https://api.openml.org/data/download/1463963/WekaModel_weka.classifiers.meta.MultiBoostAB887637234424177877.model -1 1463962 model_serialized https://api.openml.org/data/download/1463962/WekaSerialized_weka.classifiers.meta.MultiBoostAB8257857876643341507.model -1 1463961 predictions https://api.openml.org/data/download/1463961/weka_generated_predictions5878696540678518891.arff area_under_roc_curve 0.76619 [0.76619,0.76619] average_cost 0 f_measure 0.72327 [0.767892,0.660057] kappa 0.428102 kb_relative_information_score 356.468553 mean_absolute_error 0.284468 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 0.722783 [0.757634,0.67341] predictive_accuracy 0.724138 prior_entropy 0.979412 recall 0.724138 [0.778431,0.647222] relative_absolute_error 0.585964 root_mean_prior_squared_error 0.492516 root_mean_squared_error 0.485164 root_relative_squared_error 0.985073 scimark_benchmark 938.311492 [554.431243089541, 1001.0155513775524, 479.99187728791736, 904.5686674515777, 1751.5501218345944] total_cost 0 usercpu_time_millis 10 usercpu_time_millis_testing 0 usercpu_time_millis_training 10 area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.944444 [0.944444,0.944444] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.972222 [0.972222,0.972222] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.555556 [0.555556,0.555556] area_under_roc_curve 0.675 [0.675,0.675] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.95 [0.95,0.95] area_under_roc_curve 0.95 [0.95,0.95] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.95 [0.95,0.95] area_under_roc_curve 0.4 [0.4,0.4] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.95 [0.95,0.95] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.85 [0.85,0.85] area_under_roc_curve 0.825 [0.825,0.825] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.675 [0.675,0.675] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.95 [0.95,0.95] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.85 [0.85,0.85] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.725 [0.725,0.725] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.85 [0.85,0.85] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.85 [0.85,0.85] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.675 [0.675,0.675] area_under_roc_curve 0.944444 [0.944444,0.944444] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.944444 [0.944444,0.944444] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.555556 [0.555556,0.555556] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.866667 [0.866667,0.866667] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.633333 [0.633333,0.633333] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.866667 [0.866667,0.866667] area_under_roc_curve 0.633333 [0.633333,0.633333] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.933333 [0.933333,0.933333] area_under_roc_curve 0.933333 [0.933333,0.933333] area_under_roc_curve 0.533333 [0.533333,0.533333] area_under_roc_curve 0.4 [0.4,0.4] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.733333 [0.733333,0.733333] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.533333 [0.533333,0.533333] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.533333 [0.533333,0.533333] area_under_roc_curve 0.733333 [0.733333,0.733333] area_under_roc_curve 0.866667 [0.866667,0.866667] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.933333 [0.933333,0.933333] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.866667 [0.866667,0.866667] area_under_roc_curve 0.533333 [0.533333,0.533333] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.933333 [0.933333,0.933333] area_under_roc_curve 0.733333 [0.733333,0.733333] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.891775 [0.909091,0.857143] f_measure 0.666667 [0.666667,0.666667] f_measure 0.738095 [0.857143,0.5] f_measure 0.783333 [0.8,0.75] f_measure 0.882051 [0.923077,0.8] f_measure 0.518519 [0.666667,0.333333] f_measure 0.777778 [0.833333,0.666667] f_measure 0.430014 [0.545455,0.285714] f_measure 1 [1,1] f_measure 0.555556 [0.6,0.5] f_measure 0.886003 [0.909091,0.857143] f_measure 0.888889 [0.888889,0.888889] f_measure 1 [1,1] f_measure 0.886003 [0.909091,0.857143] f_measure 0.430014 [0.545455,0.285714] f_measure 0.759259 [0.833333,0.666667] f_measure 0.886003 [0.909091,0.857143] f_measure 0.605128 [0.769231,0.4] f_measure 0.759259 [0.833333,0.666667] f_measure 0.777778 [0.8,0.75] f_measure 0.888889 [0.888889,0.888889] f_measure 0.759259 [0.833333,0.666667] f_measure 0.777778 [0.8,0.75] f_measure 0.759259 [0.833333,0.666667] f_measure 0.658009 [0.727273,0.571429] f_measure 0.444444 [0.444444,0.444444] f_measure 0.555556 [0.6,0.5] f_measure 0.666667 [0.666667,0.666667] f_measure 0.640693 [0.571429,0.727273] f_measure 0.555556 [0.6,0.5] f_measure 0.658009 [0.727273,0.571429] f_measure 0.605128 [0.769231,0.4] f_measure 0.772222 [0.75,0.8] f_measure 0.759259 [0.833333,0.666667] f_measure 1 [1,1] f_measure 0.886003 [0.909091,0.857143] f_measure 0.658009 [0.727273,0.571429] f_measure 0.888889 [0.888889,0.888889] f_measure 0.401154 [0.285714,0.545455] f_measure 0.777778 [0.8,0.75] f_measure 0.555556 [0.6,0.5] f_measure 0.544444 [0.5,0.6] f_measure 0.658009 [0.727273,0.571429] f_measure 0.605128 [0.769231,0.4] f_measure 0.658009 [0.727273,0.571429] f_measure 0.658009 [0.727273,0.571429] f_measure 0.772222 [0.75,0.8] f_measure 0.759259 [0.833333,0.666667] f_measure 0.777778 [0.8,0.75] f_measure 0.555556 [0.6,0.5] f_measure 0.777778 [0.8,0.75] f_measure 0.658009 [0.727273,0.571429] f_measure 0.640693 [0.571429,0.727273] f_measure 0.777778 [0.8,0.75] f_measure 0.666667 [0.666667,0.666667] f_measure 0.759259 [0.833333,0.666667] 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 0.891775 [0.909091,0.857143] f_measure 0.666667 [0.666667,0.666667] f_measure 0.646154 [0.769231,0.4] 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 0.882051 [0.923077,0.8] f_measure 0.772222 [0.75,0.8] f_measure 0.738095 [0.857143,0.5] f_measure 0.777778 [0.8,0.75] f_measure 0.75 [0.8,0.666667] f_measure 0.868182 [0.909091,0.8] f_measure 0.75 [0.8,0.666667] f_measure 0.75 [0.8,0.666667] f_measure 0.345238 [0.285714,0.444444] f_measure 0.868182 [0.909091,0.8] f_measure 0.75 [0.8,0.666667] f_measure 0.75 [0.75,0.75] f_measure 0.876984 [0.888889,0.857143] f_measure 0.708333 [0.833333,0.5] f_measure 0.604545 [0.727273,0.4] f_measure 0.340909 [0.545455,0] f_measure 0.876984 [0.888889,0.857143] f_measure 0.75 [0.8,0.666667] f_measure 0.876984 [0.888889,0.857143] f_measure 0.708333 [0.833333,0.5] f_measure 0.630952 [0.666667,0.571429] f_measure 0.75 [0.8,0.666667] f_measure 0.5 [0.6,0.333333] f_measure 0.5 [0.6,0.333333] f_measure 0.75 [0.75,0.75] f_measure 0.876984 [0.888889,0.857143] f_measure 0.868182 [0.909091,0.8] f_measure 0.604545 [0.727273,0.4] f_measure 0.868182 [0.909091,0.8] f_measure 0.876984 [0.888889,0.857143] f_measure 0.5 [0.6,0.333333] f_measure 0.604545 [0.727273,0.4] f_measure 0.75 [0.8,0.666667] f_measure 0.5 [0.6,0.333333] kappa 0.341463 kappa 0.769231 kappa 0.341463 kappa 0.4 kappa 0.571429 kappa 0.727273 kappa 0.052632 kappa 0.5 kappa -0.153846 kappa 1 kappa 0.1 kappa 0.769231 kappa 0.780488 kappa 1 kappa 0.769231 kappa -0.153846 kappa 0.526316 kappa 0.769231 kappa 0.27027 kappa 0.526316 kappa 0.55 kappa 0.780488 kappa 0.526316 kappa 0.55 kappa 0.526316 kappa 0.307692 kappa -0.097561 kappa 0.1 kappa 0.341463 kappa 0.372093 kappa 0.1 kappa 0.307692 kappa 0.27027 kappa 0.571429 kappa 0.526316 kappa 1 kappa 0.769231 kappa 0.307692 kappa 0.780488 kappa -0.046512 kappa 0.55 kappa 0.1 kappa 0.142857 kappa 0.307692 kappa 0.27027 kappa 0.307692 kappa 0.307692 kappa 0.571429 kappa 0.526316 kappa 0.55 kappa 0.1 kappa 0.55 kappa 0.307692 kappa 0.372093 kappa 0.55 kappa 0.341463 kappa 0.526316 kappa 0.307692 kappa 0.1 kappa 0.526316 kappa 0.769231 kappa 0.341463 kappa 0.181818 kappa 0.55 kappa 0.341463 kappa 0.571429 kappa 0.727273 kappa 0.571429 kappa 0.4 kappa 0.55 kappa 0.466667 kappa 0.714286 kappa 0.466667 kappa 0.466667 kappa -0.111111 kappa 0.714286 kappa 0.466667 kappa 0.529412 kappa 0.75 kappa 0.384615 kappa 0.142857 kappa -0.428571 kappa 0.75 kappa 0.466667 kappa 0.75 kappa 0.384615 kappa 0.25 kappa 0.466667 kappa -0.066667 kappa -0.066667 kappa 0.529412 kappa 0.75 kappa 0.714286 kappa 0.142857 kappa 0.714286 kappa 0.75 kappa -0.066667 kappa 0.142857 kappa 0.466667 kappa -0.066667 kb_relative_information_score 3.477046 kb_relative_information_score 6.008917 kb_relative_information_score 2.843938 kb_relative_information_score 4.298868 kb_relative_information_score 4.704372 kb_relative_information_score 5.071173 kb_relative_information_score -0.338821 kb_relative_information_score 3.571789 kb_relative_information_score -0.18932 kb_relative_information_score 7.973768 kb_relative_information_score 1.274891 kb_relative_information_score 6.976013 kb_relative_information_score 6.431541 kb_relative_information_score 7.382128 kb_relative_information_score 6.343329 kb_relative_information_score -1.260038 kb_relative_information_score 5.727191 kb_relative_information_score 6.820659 kb_relative_information_score 2.171792 kb_relative_information_score 4.748205 kb_relative_information_score 5.25411 kb_relative_information_score 5.870262 kb_relative_information_score 4.884649 kb_relative_information_score 4.954442 kb_relative_information_score 4.082101 kb_relative_information_score 3.419878 kb_relative_information_score -1.108979 kb_relative_information_score 0.809641 kb_relative_information_score 2.903328 kb_relative_information_score 3.069775 kb_relative_information_score -0.222799 kb_relative_information_score 2.945623 kb_relative_information_score 2.83727 kb_relative_information_score 4.769362 kb_relative_information_score 4.826921 kb_relative_information_score 8.593795 kb_relative_information_score 6.158503 kb_relative_information_score 3.192821 kb_relative_information_score 5.847731 kb_relative_information_score -0.030161 kb_relative_information_score 5.073725 kb_relative_information_score 1.771523 kb_relative_information_score 0.809643 kb_relative_information_score 3.376191 kb_relative_information_score 2.584909 kb_relative_information_score 3.159894 kb_relative_information_score 2.827691 kb_relative_information_score 4.106697 kb_relative_information_score 5.236379 kb_relative_information_score 4.515882 kb_relative_information_score 1.938443 kb_relative_information_score 3.713444 kb_relative_information_score 3.325255 kb_relative_information_score 3.460318 kb_relative_information_score 4.734994 kb_relative_information_score 3.077771 kb_relative_information_score 4.671048 kb_relative_information_score 2.981378 kb_relative_information_score 1.937946 kb_relative_information_score 4.563524 kb_relative_information_score 5.905723 kb_relative_information_score 3.111988 kb_relative_information_score 1.705746 kb_relative_information_score 4.09698 kb_relative_information_score 2.819454 kb_relative_information_score 4.573553 kb_relative_information_score 5.915838 kb_relative_information_score 5.947918 kb_relative_information_score 3.696047 kb_relative_information_score 4.839187 kb_relative_information_score 3.989544 kb_relative_information_score 4.119532 kb_relative_information_score 3.489402 kb_relative_information_score 3.244403 kb_relative_information_score -0.954246 kb_relative_information_score 5.006292 kb_relative_information_score 3.613854 kb_relative_information_score 3.443483 kb_relative_information_score 4.888171 kb_relative_information_score 4.024962 kb_relative_information_score 1.304776 kb_relative_information_score -3.204102 kb_relative_information_score 5.017385 kb_relative_information_score 3.613537 kb_relative_information_score 5.578499 kb_relative_information_score 2.824409 kb_relative_information_score 2.093307 kb_relative_information_score 1.408373 kb_relative_information_score -0.221077 kb_relative_information_score 0.262617 kb_relative_information_score 3.566229 kb_relative_information_score 5.536528 kb_relative_information_score 5.632177 kb_relative_information_score 2.028475 kb_relative_information_score 5.768447 kb_relative_information_score 5.15629 kb_relative_information_score 0.088857 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mean_absolute_error 0.249309 mean_absolute_error 0.147434 mean_absolute_error 0.173639 mean_absolute_error 0.272482 mean_absolute_error 0.236014 mean_absolute_error 0.225645 mean_absolute_error 0.236239 mean_absolute_error 0.264593 mean_absolute_error 0.283055 mean_absolute_error 0.506211 mean_absolute_error 0.177964 mean_absolute_error 0.254515 mean_absolute_error 0.266545 mean_absolute_error 0.180039 mean_absolute_error 0.231312 mean_absolute_error 0.397552 mean_absolute_error 0.655472 mean_absolute_error 0.17447 mean_absolute_error 0.25489 mean_absolute_error 0.13936 mean_absolute_error 0.312631 mean_absolute_error 0.340061 mean_absolute_error 0.402014 mean_absolute_error 0.483132 mean_absolute_error 0.443805 mean_absolute_error 0.257015 mean_absolute_error 0.142272 mean_absolute_error 0.134845 mean_absolute_error 0.345065 mean_absolute_error 0.124042 mean_absolute_error 0.170463 mean_absolute_error 0.455015 mean_absolute_error 0.334969 mean_absolute_error 0.202069 mean_absolute_error 0.394589 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 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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 0.916667 [1,0.75] precision 0.683333 [0.75,0.6] precision 0.833333 [0.75,1] precision 0.866667 [1,0.6] precision 0.904762 [0.857143,1] precision 0.539683 [0.571429,0.5] precision 0.777778 [0.833333,0.666667] precision 0.425926 [0.5,0.333333] precision 1 [1,1] precision 0.555556 [0.6,0.5] precision 0.907407 [0.833333,1] precision 0.911111 [1,0.8] precision 1 [1,1] precision 0.907407 [0.833333,1] precision 0.425926 [0.5,0.333333] precision 0.84127 [0.714286,1] precision 0.907407 [0.833333,1] precision 0.791667 [0.625,1] precision 0.84127 [0.714286,1] precision 0.777778 [0.8,0.75] precision 0.911111 [1,0.8] precision 0.84127 [0.714286,1] precision 0.777778 [0.8,0.75] precision 0.84127 [0.714286,1] precision 0.666667 [0.666667,0.666667] precision 0.455556 [0.5,0.4] precision 0.555556 [0.6,0.5] precision 0.683333 [0.75,0.6] precision 0.809524 [1,0.571429] precision 0.555556 [0.6,0.5] precision 0.666667 [0.666667,0.666667] precision 0.791667 [0.625,1] precision 0.851852 [1,0.666667] precision 0.84127 [0.714286,1] precision 1 [1,1] precision 0.907407 [0.833333,1] precision 0.666667 [0.666667,0.666667] precision 0.911111 [1,0.8] precision 0.468254 [0.5,0.428571] precision 0.777778 [0.8,0.75] precision 0.555556 [0.6,0.5] precision 0.592593 [0.666667,0.5] precision 0.666667 [0.666667,0.666667] precision 0.791667 [0.625,1] precision 0.666667 [0.666667,0.666667] precision 0.666667 [0.666667,0.666667] precision 0.851852 [1,0.666667] precision 0.84127 [0.714286,1] precision 0.777778 [0.8,0.75] precision 0.555556 [0.6,0.5] precision 0.777778 [0.8,0.75] precision 0.666667 [0.666667,0.666667] precision 0.809524 [1,0.571429] precision 0.777778 [0.8,0.75] precision 0.683333 [0.75,0.6] precision 0.84127 [0.714286,1] precision 0.666667 [0.666667,0.666667] precision 0.555556 [0.6,0.5] precision 0.84127 [0.714286,1] precision 0.916667 [1,0.75] precision 0.683333 [0.75,0.6] precision 0.642857 [0.714286,0.5] precision 0.777778 [0.8,0.75] precision 0.683333 [0.75,0.6] precision 0.851852 [1,0.666667] precision 0.904762 [0.857143,1] precision 0.851852 [1,0.666667] precision 0.833333 [0.75,1] precision 0.777778 [0.8,0.75] precision 0.75 [0.8,0.666667] precision 0.895833 [0.833333,1] precision 0.75 [0.8,0.666667] precision 0.75 [0.8,0.666667] precision 0.4375 [0.5,0.333333] precision 0.895833 [0.833333,1] precision 0.75 [0.8,0.666667] precision 0.85 [1,0.6] precision 0.90625 [1,0.75] precision 0.821429 [0.714286,1] precision 0.604167 [0.666667,0.5] precision 0.3125 [0.5,0] precision 0.90625 [1,0.75] precision 0.75 [0.8,0.666667] precision 0.90625 [1,0.75] precision 0.821429 [0.714286,1] precision 0.65625 [0.75,0.5] precision 0.75 [0.8,0.666667] precision 0.5 [0.6,0.333333] precision 0.5 [0.6,0.333333] precision 0.85 [1,0.6] precision 0.90625 [1,0.75] precision 0.895833 [0.833333,1] precision 0.604167 [0.666667,0.5] precision 0.895833 [0.833333,1] precision 0.90625 [1,0.75] precision 0.5 [0.6,0.333333] precision 0.604167 [0.666667,0.5] precision 0.75 [0.8,0.666667] precision 0.5 [0.6,0.333333] predictive_accuracy 0.666667 predictive_accuracy 0.888889 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.444444 predictive_accuracy 1 predictive_accuracy 0.555556 predictive_accuracy 0.888889 predictive_accuracy 0.888889 predictive_accuracy 1 predictive_accuracy 0.888889 predictive_accuracy 0.444444 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.444444 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 1 predictive_accuracy 0.888889 predictive_accuracy 0.666667 predictive_accuracy 0.888889 predictive_accuracy 0.444444 predictive_accuracy 0.777778 predictive_accuracy 0.555556 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.777778 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 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.75 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.375 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.375 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.75 predictive_accuracy 0.875 predictive_accuracy 0.875 predictive_accuracy 0.625 predictive_accuracy 0.875 predictive_accuracy 0.875 predictive_accuracy 0.5 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.5 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 0.888889 [0.833333,1] recall 0.666667 [0.6,0.75] recall 0.777778 [1,0.333333] recall 0.777778 [0.666667,1] recall 0.888889 [1,0.666667] recall 0.555556 [0.8,0.25] recall 0.777778 [0.833333,0.666667] recall 0.444444 [0.6,0.25] recall 1 [1,1] recall 0.555556 [0.6,0.5] recall 0.888889 [1,0.75] recall 0.888889 [0.8,1] recall 1 [1,1] recall 0.888889 [1,0.75] recall 0.444444 [0.6,0.25] recall 0.777778 [1,0.5] recall 0.888889 [1,0.75] recall 0.666667 [1,0.25] recall 0.777778 [1,0.5] recall 0.777778 [0.8,0.75] recall 0.888889 [0.8,1] recall 0.777778 [1,0.5] recall 0.777778 [0.8,0.75] recall 0.777778 [1,0.5] recall 0.666667 [0.8,0.5] recall 0.444444 [0.4,0.5] recall 0.555556 [0.6,0.5] recall 0.666667 [0.6,0.75] recall 0.666667 [0.4,1] recall 0.555556 [0.6,0.5] recall 0.666667 [0.8,0.5] recall 0.666667 [1,0.25] recall 0.777778 [0.6,1] recall 0.777778 [1,0.5] recall 1 [1,1] recall 0.888889 [1,0.75] recall 0.666667 [0.8,0.5] recall 0.888889 [0.8,1] recall 0.444444 [0.2,0.75] recall 0.777778 [0.8,0.75] recall 0.555556 [0.6,0.5] recall 0.555556 [0.4,0.75] recall 0.666667 [0.8,0.5] recall 0.666667 [1,0.25] recall 0.666667 [0.8,0.5] recall 0.666667 [0.8,0.5] recall 0.777778 [0.6,1] recall 0.777778 [1,0.5] recall 0.777778 [0.8,0.75] recall 0.555556 [0.6,0.5] recall 0.777778 [0.8,0.75] recall 0.666667 [0.8,0.5] recall 0.666667 [0.4,1] recall 0.777778 [0.8,0.75] recall 0.666667 [0.6,0.75] recall 0.777778 [1,0.5] recall 0.666667 [0.8,0.5] recall 0.555556 [0.6,0.5] recall 0.777778 [1,0.5] recall 0.888889 [0.833333,1] recall 0.666667 [0.6,0.75] recall 0.666667 [0.833333,0.333333] recall 0.777778 [0.8,0.75] recall 0.666667 [0.6,0.75] recall 0.777778 [0.6,1] recall 0.888889 [1,0.666667] recall 0.777778 [0.6,1] recall 0.777778 [1,0.333333] recall 0.777778 [0.8,0.75] recall 0.75 [0.8,0.666667] recall 0.875 [1,0.666667] recall 0.75 [0.8,0.666667] recall 0.75 [0.8,0.666667] recall 0.375 [0.2,0.666667] recall 0.875 [1,0.666667] recall 0.75 [0.8,0.666667] recall 0.75 [0.6,1] recall 0.875 [0.8,1] recall 0.75 [1,0.333333] recall 0.625 [0.8,0.333333] recall 0.375 [0.6,0] recall 0.875 [0.8,1] recall 0.75 [0.8,0.666667] recall 0.875 [0.8,1] recall 0.75 [1,0.333333] recall 0.625 [0.6,0.666667] recall 0.75 [0.8,0.666667] recall 0.5 [0.6,0.333333] recall 0.5 [0.6,0.333333] recall 0.75 [0.6,1] recall 0.875 [0.8,1] recall 0.875 [1,0.666667] recall 0.625 [0.8,0.333333] recall 0.875 [1,0.666667] recall 0.875 [0.8,1] recall 0.5 [0.6,0.333333] recall 0.625 [0.8,0.333333] recall 0.75 [0.8,0.666667] recall 0.5 [0.6,0.333333] relative_absolute_error 0.608859 relative_absolute_error 0.314528 relative_absolute_error 0.684131 relative_absolute_error 0.495407 relative_absolute_error 0.44464 relative_absolute_error 0.421392 relative_absolute_error 1.026257 relative_absolute_error 0.599648 relative_absolute_error 1.003411 relative_absolute_error 0.08952 relative_absolute_error 0.843075 relative_absolute_error 0.236645 relative_absolute_error 0.313559 relative_absolute_error 0.229315 relative_absolute_error 0.308371 relative_absolute_error 1.12731 relative_absolute_error 0.359963 relative_absolute_error 0.259634 relative_absolute_error 0.774757 relative_absolute_error 0.482228 relative_absolute_error 0.42532 relative_absolute_error 0.377182 relative_absolute_error 0.464486 relative_absolute_error 0.453787 relative_absolute_error 0.562347 relative_absolute_error 0.630801 relative_absolute_error 1.105077 relative_absolute_error 0.903095 relative_absolute_error 0.675253 relative_absolute_error 0.651755 relative_absolute_error 1.030821 relative_absolute_error 0.688942 relative_absolute_error 0.685312 relative_absolute_error 0.481077 relative_absolute_error 0.472644 relative_absolute_error 0.074091 relative_absolute_error 0.331377 relative_absolute_error 0.636636 relative_absolute_error 0.377054 relative_absolute_error 0.977107 relative_absolute_error 0.440496 relative_absolute_error 0.776221 relative_absolute_error 0.903127 relative_absolute_error 0.611555 relative_absolute_error 0.714759 relative_absolute_error 0.659536 relative_absolute_error 0.688625 relative_absolute_error 0.550668 relative_absolute_error 0.414901 relative_absolute_error 0.506858 relative_absolute_error 0.759404 relative_absolute_error 0.60547 relative_absolute_error 0.622169 relative_absolute_error 0.613868 relative_absolute_error 0.486088 relative_absolute_error 0.649917 relative_absolute_error 0.495207 relative_absolute_error 0.663548 relative_absolute_error 0.761483 relative_absolute_error 0.506764 relative_absolute_error 0.307977 relative_absolute_error 0.656773 relative_absolute_error 0.788333 relative_absolute_error 0.556731 relative_absolute_error 0.68804 relative_absolute_error 0.508134 relative_absolute_error 0.312419 relative_absolute_error 0.353906 relative_absolute_error 0.577403 relative_absolute_error 0.481037 relative_absolute_error 0.471141 relative_absolute_error 0.493261 relative_absolute_error 0.552463 relative_absolute_error 0.591012 relative_absolute_error 1.056956 relative_absolute_error 0.371585 relative_absolute_error 0.53142 relative_absolute_error 0.556539 relative_absolute_error 0.375918 relative_absolute_error 0.482974 relative_absolute_error 0.830079 relative_absolute_error 1.36861 relative_absolute_error 0.364288 relative_absolute_error 0.532204 relative_absolute_error 0.290981 relative_absolute_error 0.652767 relative_absolute_error 0.710039 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