106878 2 Joaquin Vanschoren 265 Supervised Classification predictive_accuracy 398 weka.AdaBoostM1_BFTree(2) 611 weka.classifiers.meta.AdaBoostM1 -- -P 100 -S 1 -I 20 -W weka.classifiers.trees.BFTree -- -M 2 -N 5 -C 1.0 -P POSTPRUNED -S 1 I 20 398 P 100 398 S 1 398 W weka.classifiers.trees.BFTree 398 C true 399 M 2 399 N 5 399 P POSTPRUNED 399 S 1 399 35 dermatology https://www.openml.org/data/download/35/dataset_35_dermatology.arff -1 320891 description https://api.openml.org/data/download/320891/weka_generated_run2099911857219561009.xml -1 320894 model_readable https://api.openml.org/data/download/320894/WekaModel_weka.classifiers.meta.AdaBoostM1888268466855679064.model -1 320893 model_serialized https://api.openml.org/data/download/320893/WekaSerialized_weka.classifiers.meta.AdaBoostM18450564338544821607.model -1 320892 predictions https://api.openml.org/data/download/320892/weka_generated_predictions1663181218276779827.arff area_under_roc_curve 0.984984 [1,0.9895,0.980769,0.922358,0.995146,1] average_cost 0 build_cpu_time 3.712 build_memory 1736476248 f_measure 0.97474 [1,0.952381,0.980392,0.916667,0.971429,1] kappa 0.968368 kb_relative_information_score 114.670462 mean_absolute_error 0.008333 mean_prior_absolute_error 0.265315 number_of_instances 120 [38,20,26,13,17,6] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.976978 [1,0.909091,1,1,0.944444,1] predictive_accuracy 0.975 prior_entropy 2.437791 recall 0.975 [1,1,0.961538,0.846154,1,1] relative_absolute_error 0.031409 root_mean_prior_squared_error 0.363318 root_mean_squared_error 0.091287 root_relative_squared_error 0.251259 scimark_benchmark 906.422138 [559.4100779115328, 921.5471277059248, 483.449727694041, 803.1372699202232, 1764.5664888040972] total_cost 0 area_under_roc_curve 0.984984 [1,0.9895,0.980769,0.922358,0.995146,1] average_cost 0 build_cpu_time 3.712 build_memory 1736476248 f_measure 0.97474 [1,0.952381,0.980392,0.916667,0.971429,1] kappa 0.968368 kb_relative_information_score 114.670462 mean_absolute_error 0.008333 mean_prior_absolute_error 0.265315 number_of_instances 120 [38,20,26,13,17,6] precision 0.976978 [1,0.909091,1,1,0.944444,1] predictive_accuracy 0.975 prior_entropy 2.437791 recall 0.975 [1,1,0.961538,0.846154,1,1] relative_absolute_error 0.031409 root_mean_prior_squared_error 0.363318 root_mean_squared_error 0.091287 root_relative_squared_error 0.251259 total_cost 0