1852917 348 Giuseppe Casalicchio 59 Supervised Classification predictive_accuracy 5688 mlr.classif.rpart.tuned(7) 29350 openml.seed 1 5688 openml.kind Mersenne-Twister 5688 openml.normal.kind Inversion 5688 myspecialtag 61 iris https://www.openml.org/data/download/61/dataset_61_iris.arff -1 4654874 description https://api.openml.org/data/download/4654874/description6c3c445278e7.xml -1 4654875 predictions https://api.openml.org/data/download/4654875/predictions6c3c43bb4512.arff -1 4654876 Trace https://api.openml.org/data/download/4654876/optimization_trace6c3c77f0731.arff area_under_roc_curve 0.945 [1,0.92,0.915] average_cost 0 f_measure 0.926659 [1,0.891089,0.888889] kappa 0.89 kb_relative_information_score 134.940227 mean_absolute_error 0.048889 mean_prior_absolute_error 0.444444 number_of_instances 150 [50,50,50] precision 0.926771 [1,0.882353,0.897959] predictive_accuracy 0.926667 prior_entropy 1.584963 recall 0.926667 [1,0.9,0.88] relative_absolute_error 0.11 root_mean_prior_squared_error 0.471405 root_mean_squared_error 0.221108 root_relative_squared_error 0.469042 total_cost 0 area_under_roc_curve 0.95 [1,0.95,0.9] area_under_roc_curve 0.95 [1,0.9,0.95] area_under_roc_curve 0.95 [1,0.9,0.95] area_under_roc_curve 0.95 [1,0.9,0.95] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.85 [1,0.8,0.75] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.9 [1,0.9,0.8] area_under_roc_curve 0.9 [1,0.85,0.85] area_under_roc_curve 1 [1,1,1] average_cost 0 average_cost 0 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 0.93266 [1,0.909091,0.888889] f_measure 0.93266 [1,0.888889,0.909091] f_measure 0.93266 [1,0.888889,0.909091] f_measure 0.93266 [1,0.888889,0.909091] f_measure 1 [1,1,1] f_measure 0.79798 [1,0.727273,0.666667] f_measure 1 [1,1,1] f_measure 0.861111 [1,0.833333,0.75] f_measure 0.866667 [1,0.8,0.8] f_measure 1 [1,1,1] kappa 0.9 kappa 0.9 kappa 0.9 kappa 0.9 kappa 1 kappa 0.7 kappa 1 kappa 0.8 kappa 0.8 kappa 1 kb_relative_information_score 13.63093 kb_relative_information_score 13.63093 kb_relative_information_score 13.63093 kb_relative_information_score 13.63093 kb_relative_information_score 15 kb_relative_information_score 10.892789 kb_relative_information_score 15 kb_relative_information_score 12.26186 kb_relative_information_score 12.26186 kb_relative_information_score 15 mean_absolute_error 0.044444 mean_absolute_error 0.044444 mean_absolute_error 0.044444 mean_absolute_error 0.044444 mean_absolute_error 0 mean_absolute_error 0.133333 mean_absolute_error 0 mean_absolute_error 0.088889 mean_absolute_error 0.088889 mean_absolute_error 0 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] precision 0.944444 [1,0.833333,1] precision 0.944444 [1,1,0.833333] precision 0.944444 [1,1,0.833333] precision 0.944444 [1,1,0.833333] precision 1 [1,1,1] precision 0.805556 [1,0.666667,0.75] precision 1 [1,1,1] precision 0.904762 [1,0.714286,1] precision 0.866667 [1,0.8,0.8] precision 1 [1,1,1] predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 1 predictive_accuracy 0.8 predictive_accuracy 1 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 1 prior_entropy 1.584963 prior_entropy 1.584963 prior_entropy 1.584963 prior_entropy 1.584963 prior_entropy 1.584963 prior_entropy 1.584963 prior_entropy 1.584963 prior_entropy 1.584963 prior_entropy 1.584963 prior_entropy 1.584963 recall 0.933333 [1,1,0.8] recall 0.933333 [1,0.8,1] recall 0.933333 [1,0.8,1] recall 0.933333 [1,0.8,1] recall 1 [1,1,1] recall 0.8 [1,0.8,0.6] recall 1 [1,1,1] recall 0.866667 [1,1,0.6] recall 0.866667 [1,0.8,0.8] recall 1 [1,1,1] relative_absolute_error 0.1 relative_absolute_error 0.1 relative_absolute_error 0.1 relative_absolute_error 0.1 relative_absolute_error 0 relative_absolute_error 0.3 relative_absolute_error 0 relative_absolute_error 0.2 relative_absolute_error 0.2 relative_absolute_error 0 root_mean_prior_squared_error 0.471405 root_mean_prior_squared_error 0.471405 root_mean_prior_squared_error 0.471405 root_mean_prior_squared_error 0.471405 root_mean_prior_squared_error 0.471405 root_mean_prior_squared_error 0.471405 root_mean_prior_squared_error 0.471405 root_mean_prior_squared_error 0.471405 root_mean_prior_squared_error 0.471405 root_mean_prior_squared_error 0.471405 root_mean_squared_error 0.210819 root_mean_squared_error 0.210819 root_mean_squared_error 0.210819 root_mean_squared_error 0.210819 root_mean_squared_error 0 root_mean_squared_error 0.365148 root_mean_squared_error 0 root_mean_squared_error 0.298142 root_mean_squared_error 0.298142 root_mean_squared_error 0 root_relative_squared_error 0.447214 root_relative_squared_error 0.447214 root_relative_squared_error 0.447214 root_relative_squared_error 0.447214 root_relative_squared_error 0 root_relative_squared_error 0.774597 root_relative_squared_error 0 root_relative_squared_error 0.632456 root_relative_squared_error 0.632456 root_relative_squared_error 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 total_cost 0