523468 64 Rafael Gomes Mantovani 3841 Supervised Classification predictive_accuracy 2598 classif.mlp(6) 3505 seed 1 2598 kind Mersenne-Twister 2598 normal.kind Inversion 2598 study_7 978 mfeat-factors https://www.openml.org/data/download/53512/mfeat-factors.arff -1 1796326 description https://api.openml.org/data/download/1796326/file3d1f6b1bfdd8 -1 1796327 predictions https://api.openml.org/data/download/1796327/file3d1f18c9bff7 area_under_roc_curve 0.5 [0.5,0.5] average_cost 0 f_measure 0.852632 [0,0.947368] kappa 0 kb_relative_information_score 519.350018 mean_absolute_error 0.1 mean_prior_absolute_error 0.18032 number_of_instances 2000 [200,1800] precision 0.81 [0,0.9] predictive_accuracy 0.9 prior_entropy 0.470261 recall 0.9 [0,1] relative_absolute_error 0.554571 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.316228 root_relative_squared_error 1.054092 total_cost 0 usercpu_time_millis 353.93 usercpu_time_millis_testing 24.3169999999999 usercpu_time_millis_training 329.613 area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] average_cost 0 average_cost 0 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 0.852632 [0,0.947368] f_measure 0.852632 [0,0.947368] f_measure 0.852632 [0,0.947368] f_measure 0.852632 [0,0.947368] f_measure 0.852632 [0,0.947368] f_measure 0.852632 [0,0.947368] f_measure 0.852632 [0,0.947368] f_measure 0.852632 [0,0.947368] f_measure 0.852632 [0,0.947368] f_measure 0.852632 [0,0.947368] kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kb_relative_information_score 51.935002 kb_relative_information_score 51.935002 kb_relative_information_score 51.935002 kb_relative_information_score 51.935002 kb_relative_information_score 51.935002 kb_relative_information_score 51.935002 kb_relative_information_score 51.935002 kb_relative_information_score 51.935002 kb_relative_information_score 51.935002 kb_relative_information_score 51.935002 mean_absolute_error 0.1 mean_absolute_error 0.1 mean_absolute_error 0.1 mean_absolute_error 0.1 mean_absolute_error 0.1 mean_absolute_error 0.1 mean_absolute_error 0.1 mean_absolute_error 0.1 mean_absolute_error 0.1 mean_absolute_error 0.1 mean_prior_absolute_error 0.18032 mean_prior_absolute_error 0.18032 mean_prior_absolute_error 0.18032 mean_prior_absolute_error 0.18032 mean_prior_absolute_error 0.18032 mean_prior_absolute_error 0.18032 mean_prior_absolute_error 0.18032 mean_prior_absolute_error 0.18032 mean_prior_absolute_error 0.18032 mean_prior_absolute_error 0.18032 number_of_instances 200 [20,180] number_of_instances 200 [20,180] number_of_instances 200 [20,180] number_of_instances 200 [20,180] number_of_instances 200 [20,180] number_of_instances 200 [20,180] number_of_instances 200 [20,180] number_of_instances 200 [20,180] number_of_instances 200 [20,180] number_of_instances 200 [20,180] precision 0.81 [0,0.9] precision 0.81 [0,0.9] precision 0.81 [0,0.9] precision 0.81 [0,0.9] precision 0.81 [0,0.9] precision 0.81 [0,0.9] precision 0.81 [0,0.9] precision 0.81 [0,0.9] precision 0.81 [0,0.9] precision 0.81 [0,0.9] predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.9 prior_entropy 0.470261 prior_entropy 0.470261 prior_entropy 0.470261 prior_entropy 0.470261 prior_entropy 0.470261 prior_entropy 0.470261 prior_entropy 0.470261 prior_entropy 0.470261 prior_entropy 0.470261 prior_entropy 0.470261 recall 0.9 [0,1] recall 0.9 [0,1] recall 0.9 [0,1] recall 0.9 [0,1] recall 0.9 [0,1] recall 0.9 [0,1] recall 0.9 [0,1] recall 0.9 [0,1] recall 0.9 [0,1] recall 0.9 [0,1] relative_absolute_error 0.554571 relative_absolute_error 0.554571 relative_absolute_error 0.554571 relative_absolute_error 0.554571 relative_absolute_error 0.554571 relative_absolute_error 0.554571 relative_absolute_error 0.554571 relative_absolute_error 0.554571 relative_absolute_error 0.554571 relative_absolute_error 0.554571 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.316228 root_mean_squared_error 0.316228 root_mean_squared_error 0.316228 root_mean_squared_error 0.316228 root_mean_squared_error 0.316228 root_mean_squared_error 0.316228 root_mean_squared_error 0.316228 root_mean_squared_error 0.316228 root_mean_squared_error 0.316228 root_mean_squared_error 0.316228 root_relative_squared_error 1.054092 root_relative_squared_error 1.054092 root_relative_squared_error 1.054092 root_relative_squared_error 1.054092 root_relative_squared_error 1.054092 root_relative_squared_error 1.054092 root_relative_squared_error 1.054092 root_relative_squared_error 1.054092 root_relative_squared_error 1.054092 root_relative_squared_error 1.054092 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