69909 2 Joaquin Vanschoren 265 Supervised Classification predictive_accuracy 531 weka.Bagging_OneR(2) 804 weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 80 -W weka.classifiers.rules.OneR -- -B 6 I 80 531 P 100 531 S 1 531 W weka.classifiers.rules.OneR 531 num-slots 1 531 B 6 375 35 dermatology https://www.openml.org/data/download/35/dataset_35_dermatology.arff -1 198160 description https://api.openml.org/data/download/198160/weka_generated_run6494055893889230099.xml -1 198164 model_readable https://api.openml.org/data/download/198164/WekaModel_weka.classifiers.meta.Bagging987789218716351400.model -1 198162 model_serialized https://api.openml.org/data/download/198162/WekaSerialized_weka.classifiers.meta.Bagging8224924679264943681.model -1 198166 predictions https://api.openml.org/data/download/198166/weka_generated_predictions1696297478529393686.arff area_under_roc_curve 0.905999 [0.981868,0.8155,0.955401,0.704889,0.892062,0.988304] average_cost 0 build_cpu_time 0.024 build_memory 1339832464 f_measure 0.495431 [0.835165,0.37037,0.684211,0,0.148148,0] kappa 0.454343 kb_relative_information_score 48.665009 mean_absolute_error 0.174132 mean_prior_absolute_error 0.265315 number_of_instances 120 [38,20,26,13,17,6] os_information [Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64] precision 0.487092 [0.716981,0.714286,0.52,0,0.2,0] predictive_accuracy 0.591667 prior_entropy 2.437791 recall 0.591667 [1,0.25,1,0,0.117647,0] relative_absolute_error 0.656321 root_mean_prior_squared_error 0.363318 root_mean_squared_error 0.304723 root_relative_squared_error 0.838723 scimark_benchmark 785.910393 [365.3625007698193, 925.0864422320732, 310.24034517516816, 623.2619580433216, 1705.6007180653555] total_cost 0 area_under_roc_curve 0.905999 [0.981868,0.8155,0.955401,0.704889,0.892062,0.988304] average_cost 0 build_cpu_time 0.024 build_memory 1339832464 f_measure 0.495431 [0.835165,0.37037,0.684211,0,0.148148,0] kappa 0.454343 kb_relative_information_score 48.665009 mean_absolute_error 0.174132 mean_prior_absolute_error 0.265315 number_of_instances 120 [38,20,26,13,17,6] precision 0.487092 [0.716981,0.714286,0.52,0,0.2,0] predictive_accuracy 0.591667 prior_entropy 2.437791 recall 0.591667 [1,0.25,1,0,0.117647,0] relative_absolute_error 0.656321 root_mean_prior_squared_error 0.363318 root_mean_squared_error 0.304723 root_relative_squared_error 0.838723 total_cost 0