7828734 2702 OpenML_Bot R 31 Supervised Classification 6766 mlr.classif.glmnet(11) 5860427 alpha 0.581517240498215 6766 s 0.01 6766 lambda 54.0910023946425 6766 openml.seed 1 6766 openml.kind Mersenne-Twister 6766 openml.normal.kind Inversion 6766 AzureBot1 botV1 mlrRandomBot sciBenchV1.0 31 credit-g https://www.openml.org/data/download/31/dataset_31_credit-g.arff -1 16581267 description https://api.openml.org/data/download/16581267/descriptione87137e63391.xml -1 16581268 predictions https://api.openml.org/data/download/16581268/predictionse8712a1642bc.arff area_under_roc_curve 0.5 [0.5,0.5] average_cost 0 f_measure 0.576471 [0.823529,0] kappa 0 kb_relative_information_score 0.37333 mean_absolute_error 0.42 mean_prior_absolute_error 0.42016 number_of_instances 1000 [700,300] precision 0.49 [0.7,0] predictive_accuracy 0.7 prior_entropy 0.881778 recall 0.7 [1,0] relative_absolute_error 0.99962 root_mean_prior_squared_error 0.458258 root_mean_squared_error 0.458258 root_relative_squared_error 1 scimark_benchmark 1332.94512594144 [ 1352.3572583809, 915.624234625754, 455.381526319026, 1732.59467526408, 2208.76793511744 ] total_cost 0 usercpu_time_millis 0.43099999999999 usercpu_time_millis_testing 0.127000000000002 usercpu_time_millis_training 0.303999999999988 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 0.576471 [0.823529,0] f_measure 0.576471 [0.823529,0] f_measure 0.576471 [0.823529,0] f_measure 0.576471 [0.823529,0] f_measure 0.576471 [0.823529,0] f_measure 0.576471 [0.823529,0] f_measure 0.576471 [0.823529,0] f_measure 0.576471 [0.823529,0] f_measure 0.576471 [0.823529,0] f_measure 0.576471 [0.823529,0] kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kb_relative_information_score 0.037333 kb_relative_information_score 0.037333 kb_relative_information_score 0.037333 kb_relative_information_score 0.037333 kb_relative_information_score 0.037333 kb_relative_information_score 0.037333 kb_relative_information_score 0.037333 kb_relative_information_score 0.037333 kb_relative_information_score 0.037333 kb_relative_information_score 0.037333 mean_absolute_error 0.42 mean_absolute_error 0.42 mean_absolute_error 0.42 mean_absolute_error 0.42 mean_absolute_error 0.42 mean_absolute_error 0.42 mean_absolute_error 0.42 mean_absolute_error 0.42 mean_absolute_error 0.42 mean_absolute_error 0.42 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] precision 0.49 [0.7,0] precision 0.49 [0.7,0] precision 0.49 [0.7,0] precision 0.49 [0.7,0] precision 0.49 [0.7,0] precision 0.49 [0.7,0] precision 0.49 [0.7,0] precision 0.49 [0.7,0] precision 0.49 [0.7,0] precision 0.49 [0.7,0] predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.7 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 recall 0.7 [1,0] recall 0.7 [1,0] recall 0.7 [1,0] recall 0.7 [1,0] recall 0.7 [1,0] recall 0.7 [1,0] recall 0.7 [1,0] recall 0.7 [1,0] recall 0.7 [1,0] recall 0.7 [1,0] relative_absolute_error 0.99962 relative_absolute_error 0.99962 relative_absolute_error 0.99962 relative_absolute_error 0.99962 relative_absolute_error 0.99962 relative_absolute_error 0.99962 relative_absolute_error 0.99962 relative_absolute_error 0.99962 relative_absolute_error 0.99962 relative_absolute_error 0.99962 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_squared_error 0.458258 root_mean_squared_error 0.458258 root_mean_squared_error 0.458258 root_mean_squared_error 0.458258 root_mean_squared_error 0.458258 root_mean_squared_error 0.458258 root_mean_squared_error 0.458258 root_mean_squared_error 0.458258 root_mean_squared_error 0.458258 root_mean_squared_error 0.458258 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