480976 64 Rafael Gomes Mantovani 3742 Supervised Classification predictive_accuracy 1821 classif.boosting(2) 2420 xval 0 1821 seed 1 1821 kind Mersenne-Twister 1821 normal.kind Inversion 1821 878 fri_c4_100_10 https://www.openml.org/data/download/53412/fri_c4_100_10.arff -1 1691412 description https://api.openml.org/data/download/1691412/file1c576e3ad7cd -1 1691413 predictions https://api.openml.org/data/download/1691413/file1c5772a09024 area_under_roc_curve 0.896026 [0.896026,0.896026] average_cost 0 f_measure 0.809866 [0.795699,0.82243] kappa 0.618167 kb_relative_information_score 28.616926 mean_absolute_error 0.377609 mean_prior_absolute_error 0.498235 number_of_instances 100 [47,53] precision 0.809895 [0.804348,0.814815] predictive_accuracy 0.81 prior_entropy 0.997503 recall 0.81 [0.787234,0.830189] relative_absolute_error 0.757893 root_mean_prior_squared_error 0.4991 root_mean_squared_error 0.400259 root_relative_squared_error 0.801962 total_cost 0 area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.916667 [0.916667,0.916667] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.88 [0.88,0.88] area_under_roc_curve 0.96 [0.96,0.96] area_under_roc_curve 0.92 [0.92,0.92] area_under_roc_curve 0.92 [0.92,0.92] area_under_roc_curve 0.76 [0.76,0.76] area_under_roc_curve 0.92 [0.92,0.92] 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 0.896703 [0.857143,0.923077] f_measure 0.6 [0.5,0.666667] f_measure 0.8 [0.75,0.833333] f_measure 1 [1,1] f_measure 0.8 [0.8,0.8] f_measure 0.89899 [0.909091,0.888889] f_measure 0.89899 [0.888889,0.909091] f_measure 0.69697 [0.727273,0.666667] f_measure 0.69697 [0.666667,0.727273] f_measure 0.8 [0.8,0.8] kappa 0.782609 kappa 0.166667 kappa 0.583333 kappa 1 kappa 0.6 kappa 0.8 kappa 0.8 kappa 0.4 kappa 0.4 kappa 0.6 kb_relative_information_score 2.872532 kb_relative_information_score 1.373708 kb_relative_information_score 2.648333 kb_relative_information_score 5.663781 kb_relative_information_score 2.720967 kb_relative_information_score 2.603847 kb_relative_information_score 3.257922 kb_relative_information_score 3.551904 kb_relative_information_score 1.263964 kb_relative_information_score 2.659968 mean_absolute_error 0.374168 mean_absolute_error 0.43359 mean_absolute_error 0.381752 mean_absolute_error 0.254493 mean_absolute_error 0.382364 mean_absolute_error 0.39634 mean_absolute_error 0.365961 mean_absolute_error 0.34728 mean_absolute_error 0.449292 mean_absolute_error 0.390854 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] precision 0.914286 [1,0.857143] precision 0.6 [0.5,0.666667] precision 0.8 [0.75,0.833333] precision 1 [1,1] precision 0.8 [0.8,0.8] precision 0.916667 [0.833333,1] precision 0.916667 [1,0.833333] precision 0.708333 [0.666667,0.75] precision 0.708333 [0.75,0.666667] precision 0.8 [0.8,0.8] predictive_accuracy 0.9 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 1 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.8 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 recall 0.9 [0.75,1] recall 0.6 [0.5,0.666667] recall 0.8 [0.75,0.833333] recall 1 [1,1] recall 0.8 [0.8,0.8] recall 0.9 [1,0.8] recall 0.9 [0.8,1] recall 0.7 [0.8,0.6] recall 0.7 [0.6,0.8] recall 0.8 [0.8,0.8] relative_absolute_error 0.757244 relative_absolute_error 0.877504 relative_absolute_error 0.772594 relative_absolute_error 0.508985 relative_absolute_error 0.764728 relative_absolute_error 0.792679 relative_absolute_error 0.731921 relative_absolute_error 0.694559 relative_absolute_error 0.898583 relative_absolute_error 0.781708 root_mean_prior_squared_error 0.494957 root_mean_prior_squared_error 0.494957 root_mean_prior_squared_error 0.494957 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_squared_error 0.393292 root_mean_squared_error 0.459562 root_mean_squared_error 0.404984 root_mean_squared_error 0.272131 root_mean_squared_error 0.410102 root_mean_squared_error 0.405333 root_mean_squared_error 0.388238 root_mean_squared_error 0.373082 root_mean_squared_error 0.459396 root_mean_squared_error 0.405814 root_relative_squared_error 0.794598 root_relative_squared_error 0.928489 root_relative_squared_error 0.81822 root_relative_squared_error 0.543323 root_relative_squared_error 0.818789 root_relative_squared_error 0.809267 root_relative_squared_error 0.775137 root_relative_squared_error 0.744876 root_relative_squared_error 0.917206 root_relative_squared_error 0.810226 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