1665333 1 Jan van Rijn 3567 Supervised Classification 2255 weka.HyperPipes(2) 2891 weka.classifiers.misc.HyperPipes weka weka_3.7.13 478 collins https://www.openml.org/data/download/52590/collins.arff -1 4227906 description https://api.openml.org/data/download/4227906/weka_generated_run7111606852761182262.xml -1 4227909 model_readable https://api.openml.org/data/download/4227909/WekaModel_weka.classifiers.misc.HyperPipes2224491324963388813.model -1 4227908 model_serialized https://api.openml.org/data/download/4227908/WekaSerialized_weka.classifiers.misc.HyperPipes173121565041716799.model -1 4227907 predictions https://api.openml.org/data/download/4227907/weka_generated_predictions1285054681971758354.arff area_under_roc_curve 0.866572 [0.893914,0.903062,0.909207,0.85221,0.892122,0.724212,0.735906,0.93539,0.896071,0.928948,0.931854,0.918522,0.970239,0.934841,0.860602] average_cost 0 f_measure 0.651152 [0.731183,0.695652,0.56,0.344828,0.568627,0.564885,0.748299,0.763636,0.871795,0.590164,0.465116,0,0.577778,0.615385,0] kappa 0.62149 kb_relative_information_score 43.554888 mean_absolute_error 0.121898 mean_prior_absolute_error 0.121173 number_of_instances 500 [44,27,17,17,36,48,75,30,80,29,24,6,29,29,9] precision 0.678385 [0.693878,0.842105,0.875,0.416667,0.439394,0.445783,0.763889,0.84,0.894737,0.5625,0.526316,0,0.8125,0.695652,0] predictive_accuracy 0.658 prior_entropy 3.664225 recall 0.658 [0.772727,0.592593,0.411765,0.294118,0.805556,0.770833,0.733333,0.7,0.85,0.62069,0.416667,0,0.448276,0.551724,0] relative_absolute_error 1.005977 root_mean_prior_squared_error 0.246047 root_mean_squared_error 0.244797 root_relative_squared_error 0.994922 total_cost 0 area_under_roc_curve 0.860242 [0.956522,0.787234,1,0.96875,0.951087,0.72,0.629568,0.93617,0.85119,0.985816,0.93617,1,0.985816,0.911348,0.0] area_under_roc_curve 0.852546 [0.785326,0.978723,0.989583,0.96875,0.872283,0.617778,0.609635,0.978723,0.934524,0.985816,0.979167,0.938776,0.985816,0.802083,0.959184] area_under_roc_curve 0.881248 [0.92663,0.989583,0.989583,0.744792,0.88587,0.782222,0.780731,0.93617,0.888393,0.879433,0.895833,0.979592,0.978723,0.93617,0.918367] area_under_roc_curve 0.854712 [0.848889,0.989583,0.979167,0.802083,0.86413,0.513333,0.817276,0.992908,0.849702,0.964539,0.979167,0.0,0.964539,0.914894,0.938776] area_under_roc_curve 0.890469 [0.955556,0.958333,1,0.90625,0.839674,0.78,0.727575,1,0.904762,0.978723,0.90625,0.0,0.964539,0.989362,0.816327] area_under_roc_curve 0.858503 [0.888889,0.971631,0.666667,0.632653,0.918478,0.666667,0.803571,1,0.873512,0.865248,0.927083,0.0,1,0.929078,0.938776] area_under_roc_curve 0.8704 [0.795556,0.815603,0.8125,0.591837,0.971631,0.828889,0.766369,0.858156,0.949405,0.943262,0.875,0.0,1,1,0.938776] area_under_roc_curve 0.911223 [0.940217,0.93617,0.989583,0.938776,0.950355,0.836957,0.875,0.836879,0.901786,0.971631,0.975177,0.979592,0.925532,0.93617,0.744898] area_under_roc_curve 0.869793 [0.945652,0.978723,1,0.854167,0.914894,0.807065,0.672619,0.985816,0.839286,0.929078,0.950355,0.857143,0.929078,0.992908,0.77551] area_under_roc_curve 0.867323 [0.956522,0.978723,0.979592,0.9375,0.826241,0.731111,0.720238,0.829787,0.970238,0.739583,0.87234,1,0.957447,0.921986,0.867347] average_cost 0 average_cost 0 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 0.601294 [0.75,0,1,1,0.615385,0.352941,0.769231,0.8,0.769231,0.666667,0.5,0,0.8,0,0] f_measure 0.576771 [0.666667,1,1,0,0.615385,0.47619,0.4,0.8,0.941176,0.4,0,0,0.8,0,0] f_measure 0.600319 [0.888889,0.5,0.666667,0,0.727273,0.8,0.769231,0.5,0.75,0.444444,0.5,0,0,0.666667,0] f_measure 0.735812 [0.888889,1,0.666667,0,0.666667,0.769231,0.666667,1,1,0.666667,0.666667,0,0.5,0.666667,0] f_measure 0.718889 [0.666667,1,0,0.666667,0.444444,0.8,0.8,1,0.875,0.666667,1,0,0.8,0.5,0] f_measure 0.591762 [0.6,0.4,0,0,0.666667,0.571429,0.75,0.75,0.714286,0.5,0,0,1,0.8,0] f_measure 0.641373 [0.5,0.5,0.666667,0,0.363636,0.615385,0.8,0.5,0.941176,0.8,0.333333,0,0.5,0.857143,0] f_measure 0.684826 [0.666667,0.5,0,0,0.571429,0.75,0.941176,0.571429,0.933333,0.8,0.666667,0,0.75,0.666667,0] f_measure 0.641762 [0.8,0.8,0.666667,0,0.75,0.4,0.8,1,0.75,0.666667,0.666667,0,0,0.857143,0] f_measure 0.539206 [0.888889,0.857143,0,1,0.333333,0.4,0.666667,0.5,1,0,0,0,0,0.333333,0] kappa 0.581129 kappa 0.578153 kappa 0.58205 kappa 0.731183 kappa 0.711624 kappa 0.57759 kappa 0.600887 kappa 0.689991 kappa 0.647266 kappa 0.514991 kb_relative_information_score 4.460063 kb_relative_information_score 4.833804 kb_relative_information_score 4.696237 kb_relative_information_score 4.195776 kb_relative_information_score 4.4582 kb_relative_information_score 3.612887 kb_relative_information_score 3.741646 kb_relative_information_score 4.609591 kb_relative_information_score 4.612899 kb_relative_information_score 4.333785 mean_absolute_error 0.121771 mean_absolute_error 0.121948 mean_absolute_error 0.121922 mean_absolute_error 0.121766 mean_absolute_error 0.121613 mean_absolute_error 0.121945 mean_absolute_error 0.121894 mean_absolute_error 0.122007 mean_absolute_error 0.122028 mean_absolute_error 0.122082 mean_prior_absolute_error 0.121238 mean_prior_absolute_error 0.121377 mean_prior_absolute_error 0.121367 mean_prior_absolute_error 0.12117 mean_prior_absolute_error 0.12117 mean_prior_absolute_error 0.12088 mean_prior_absolute_error 0.120917 mean_prior_absolute_error 0.121238 mean_prior_absolute_error 0.121238 mean_prior_absolute_error 0.121139 number_of_instances 50 [4,3,1,2,4,5,7,3,8,3,3,1,3,3,0] number_of_instances 50 [4,3,2,2,4,5,7,3,8,3,2,1,3,2,1] number_of_instances 50 [4,2,2,2,4,5,7,3,8,3,2,1,3,3,1] number_of_instances 50 [5,2,2,2,4,5,7,3,8,3,2,0,3,3,1] number_of_instances 50 [5,2,2,2,4,5,7,3,8,3,2,0,3,3,1] number_of_instances 50 [5,3,2,1,4,5,8,3,8,3,2,0,2,3,1] number_of_instances 50 [5,3,2,1,3,5,8,3,8,3,2,0,3,3,1] number_of_instances 50 [4,3,2,1,3,4,8,3,8,3,3,1,3,3,1] number_of_instances 50 [4,3,1,2,3,4,8,3,8,3,3,1,3,3,1] number_of_instances 50 [4,3,1,2,3,5,8,3,8,2,3,1,3,3,1] precision 0.667222 [0.75,0,1,1,0.444444,0.25,0.833333,1,1,0.5,1,0,1,0,0] precision 0.632361 [1,1,1,0,0.444444,0.3125,0.666667,1,0.888889,0.5,0,0,1,0,0] precision 0.626381 [0.8,0.5,1,0,0.571429,0.8,0.833333,1,0.75,0.333333,0.5,0,0,0.666667,0] precision 0.7925 [1,1,1,0,1,0.625,0.5,1,1,0.666667,1,0,1,0.666667,0] precision 0.744143 [0.571429,1,0,1,0.4,0.8,0.75,1,0.875,0.5,1,0,1,1,0] precision 0.623778 [0.6,0.5,0,0,0.5,0.444444,0.75,0.6,0.833333,1,0,0,1,1,0] precision 0.746032 [0.666667,1,1,0,0.25,0.5,0.857143,1,0.888889,1,0.25,0,1,0.75,0] precision 0.698222 [0.5,1,0,0,0.5,0.75,0.888889,0.5,1,1,0.666667,0,0.6,0.666667,0] precision 0.628143 [0.666667,1,0.5,0,0.6,0.333333,0.857143,1,0.75,0.666667,0.666667,0,0,0.75,0] precision 0.592333 [0.8,0.75,0,1,0.222222,0.3,1,1,1,0,0,0,0,0.333333,0] predictive_accuracy 0.62 predictive_accuracy 0.62 predictive_accuracy 0.62 predictive_accuracy 0.76 predictive_accuracy 0.74 predictive_accuracy 0.62 predictive_accuracy 0.64 predictive_accuracy 0.72 predictive_accuracy 0.68 predictive_accuracy 0.56 prior_entropy 3.664225 prior_entropy 3.664225 prior_entropy 3.664225 prior_entropy 3.664225 prior_entropy 3.664225 prior_entropy 3.664225 prior_entropy 3.664225 prior_entropy 3.664225 prior_entropy 3.664225 prior_entropy 3.664225 recall 0.62 [0.75,0,1,1,1,0.6,0.714286,0.666667,0.625,1,0.333333,0,0.666667,0,0] recall 0.62 [0.5,1,1,0,1,1,0.285714,0.666667,1,0.333333,0,0,0.666667,0,0] recall 0.62 [1,0.5,0.5,0,1,0.8,0.714286,0.333333,0.75,0.666667,0.5,0,0,0.666667,0] recall 0.76 [0.8,1,0.5,0,0.5,1,1,1,1,0.666667,0.5,0,0.333333,0.666667,0] recall 0.74 [0.8,1,0,0.5,0.5,0.8,0.857143,1,0.875,1,1,0,0.666667,0.333333,0] recall 0.62 [0.6,0.333333,0,0,1,0.8,0.75,1,0.625,0.333333,0,0,1,0.666667,0] recall 0.64 [0.4,0.333333,0.5,0,0.666667,0.8,0.75,0.333333,1,0.666667,0.5,0,0.333333,1,0] recall 0.72 [1,0.333333,0,0,0.666667,0.75,1,0.666667,0.875,0.666667,0.666667,0,1,0.666667,0] recall 0.68 [1,0.666667,1,0,1,0.5,0.75,1,0.75,0.666667,0.666667,0,0,1,0] recall 0.56 [1,1,0,1,0.666667,0.6,0.5,0.333333,1,0,0,0,0,0.333333,0] relative_absolute_error 1.004402 relative_absolute_error 1.004703 relative_absolute_error 1.004577 relative_absolute_error 1.004915 relative_absolute_error 1.003651 relative_absolute_error 1.00881 relative_absolute_error 1.008087 relative_absolute_error 1.006349 relative_absolute_error 1.006516 relative_absolute_error 1.00778 root_mean_prior_squared_error 0.246177 root_mean_prior_squared_error 0.246461 root_mean_prior_squared_error 0.24644 root_mean_prior_squared_error 0.24604 root_mean_prior_squared_error 0.24604 root_mean_prior_squared_error 0.245451 root_mean_prior_squared_error 0.245524 root_mean_prior_squared_error 0.246177 root_mean_prior_squared_error 0.246177 root_mean_prior_squared_error 0.245977 root_mean_squared_error 0.244539 root_mean_squared_error 0.244918 root_mean_squared_error 0.244863 root_mean_squared_error 0.244581 root_mean_squared_error 0.244216 root_mean_squared_error 0.244886 root_mean_squared_error 0.244778 root_mean_squared_error 0.244962 root_mean_squared_error 0.245094 root_mean_squared_error 0.245135 root_relative_squared_error 0.993346 root_relative_squared_error 0.993741 root_relative_squared_error 0.993601 root_relative_squared_error 0.994067 root_relative_squared_error 0.992585 root_relative_squared_error 0.997701 root_relative_squared_error 0.996961 root_relative_squared_error 0.995062 root_relative_squared_error 0.995601 root_relative_squared_error 0.996577 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0