51615 2 Joaquin Vanschoren 265 Supervised Classification predictive_accuracy 527 weka.Bagging_LMT(2) 784 weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 80 -W weka.classifiers.trees.LMT -- -I -1 -M 15 -W 0.0 I 80 527 P 100 527 S 1 527 W weka.classifiers.trees.LMT 527 num-slots 1 527 I -1 412 M 15 412 W 0.0 412 35 dermatology https://www.openml.org/data/download/35/dataset_35_dermatology.arff -1 136694 description https://api.openml.org/data/download/136694/weka_generated_run2473464090600607201.xml -1 136697 model_readable https://api.openml.org/data/download/136697/WekaModel_weka.classifiers.meta.Bagging2835165826786875353.model -1 136696 model_serialized https://api.openml.org/data/download/136696/WekaSerialized_weka.classifiers.meta.Bagging6119072328755263443.model -1 136695 predictions https://api.openml.org/data/download/136695/weka_generated_predictions1194154198597130644.arff area_under_roc_curve 0.999113 [1,0.9975,1,0.996405,0.999429,1] average_cost 0 build_cpu_time 64.954 build_memory 210297240 f_measure 0.97474 [1,0.952381,0.980392,0.916667,0.971429,1] kappa 0.968368 kb_relative_information_score 112.389605 mean_absolute_error 0.019037 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 0.071751 root_mean_prior_squared_error 0.363318 root_mean_squared_error 0.089506 root_relative_squared_error 0.246356 scimark_benchmark 945.982513 [557.7999961202322, 1014.7209476623404, 479.3490265306122, 908.3298941433044, 1769.7127006129608] total_cost 0 area_under_roc_curve 0.999113 [1,0.9975,1,0.996405,0.999429,1] average_cost 0 build_cpu_time 64.954 build_memory 210297240 f_measure 0.97474 [1,0.952381,0.980392,0.916667,0.971429,1] kappa 0.968368 kb_relative_information_score 112.389605 mean_absolute_error 0.019037 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 0.071751 root_mean_prior_squared_error 0.363318 root_mean_squared_error 0.089506 root_relative_squared_error 0.246356 total_cost 0