8871211 710 William Raynaut 146176 Supervised Classification precision 7800 weka.kf.AttributeSelection-Ranker-InfoGain-Standardize-IBk5(1) 6833272 mDataExp Modelage study_107 40648 GAMETES_Epistasis_3-Way_20atts_0.2H_EDM-1_1 https://www.openml.org/data/download/4965217/GAMETES_Epistasis_3-Way_20atts_0.2H_EDM-1_1.arff -1 18658233 description https://api.openml.org/data/download/18658233/description5670773856614689637.xml -1 18658234 predictions https://api.openml.org/data/download/18658234/predictions1692785563652386445.arff area_under_roc_curve 0.5 [0.5,0.5] average_cost 0 f_measure 0.333333 [0.666667,0] kappa 0 kb_relative_information_score 0 mean_absolute_error 0.5 mean_prior_absolute_error 0.5 number_of_instances 1600 [800,800] precision 0.25 [0.5,0] predictive_accuracy 0.5 prior_entropy 1 recall 0.5 [1,0] relative_absolute_error 1 root_mean_prior_squared_error 0.5 root_mean_squared_error 0.5 root_relative_squared_error 1 total_cost 0 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 0.333333 [0.666667,0] f_measure 0.333333 [0.666667,0] f_measure 0.333333 [0.666667,0] f_measure 0.333333 [0.666667,0] f_measure 0.333333 [0.666667,0] f_measure 0.333333 [0.666667,0] f_measure 0.333333 [0.666667,0] f_measure 0.333333 [0.666667,0] f_measure 0.333333 [0.666667,0] f_measure 0.333333 [0.666667,0] kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kb_relative_information_score 0 kb_relative_information_score 0 kb_relative_information_score 0 kb_relative_information_score 0 kb_relative_information_score 0 kb_relative_information_score 0 kb_relative_information_score 0 kb_relative_information_score 0 kb_relative_information_score 0 kb_relative_information_score 0 mean_absolute_error 0.5 mean_absolute_error 0.5 mean_absolute_error 0.5 mean_absolute_error 0.5 mean_absolute_error 0.5 mean_absolute_error 0.5 mean_absolute_error 0.5 mean_absolute_error 0.5 mean_absolute_error 0.5 mean_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 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 160 [80,80] number_of_instances 160 [80,80] number_of_instances 160 [80,80] number_of_instances 160 [80,80] number_of_instances 160 [80,80] number_of_instances 160 [80,80] number_of_instances 160 [80,80] number_of_instances 160 [80,80] number_of_instances 160 [80,80] number_of_instances 160 [80,80] precision 0.25 [0.5,0] precision 0.25 [0.5,0] precision 0.25 [0.5,0] precision 0.25 [0.5,0] precision 0.25 [0.5,0] precision 0.25 [0.5,0] precision 0.25 [0.5,0] precision 0.25 [0.5,0] precision 0.25 [0.5,0] precision 0.25 [0.5,0] predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.5 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 recall 0.5 [1,0] recall 0.5 [1,0] recall 0.5 [1,0] recall 0.5 [1,0] recall 0.5 [1,0] recall 0.5 [1,0] recall 0.5 [1,0] recall 0.5 [1,0] recall 0.5 [1,0] recall 0.5 [1,0] relative_absolute_error 1 relative_absolute_error 1 relative_absolute_error 1 relative_absolute_error 1 relative_absolute_error 1 relative_absolute_error 1 relative_absolute_error 1 relative_absolute_error 1 relative_absolute_error 1 relative_absolute_error 1 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_squared_error 0.5 root_mean_squared_error 0.5 root_mean_squared_error 0.5 root_mean_squared_error 0.5 root_mean_squared_error 0.5 root_mean_squared_error 0.5 root_mean_squared_error 0.5 root_mean_squared_error 0.5 root_mean_squared_error 0.5 root_mean_squared_error 0.5 root_relative_squared_error 1 root_relative_squared_error 1 root_relative_squared_error 1 root_relative_squared_error 1 root_relative_squared_error 1 root_relative_squared_error 1 root_relative_squared_error 1 root_relative_squared_error 1 root_relative_squared_error 1 root_relative_squared_error 1 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