75047 2 Joaquin Vanschoren 265 Supervised Classification predictive_accuracy 532 weka.Bagging_RandomForest(2) 808 weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 10 -W weka.classifiers.trees.RandomForest -- -I 100 -K 0 -S 1 -num-slots 1 I 10 532 P 100 532 S 1 532 W weka.classifiers.trees.RandomForest 532 num-slots 1 532 I 100 391 K 0 391 S 1 391 num-slots 1 391 35 dermatology https://www.openml.org/data/download/35/dataset_35_dermatology.arff -1 216236 description https://api.openml.org/data/download/216236/weka_generated_run8838291862847295583.xml -1 216239 model_readable https://api.openml.org/data/download/216239/WekaModel_weka.classifiers.meta.Bagging880839872504044657.model -1 216238 model_serialized https://api.openml.org/data/download/216238/WekaSerialized_weka.classifiers.meta.Bagging255123648587940871.model -1 216237 predictions https://api.openml.org/data/download/216237/weka_generated_predictions5590111574483490095.arff area_under_roc_curve 0.999033 [1,0.997,1,0.995687,1,1] average_cost 0 build_cpu_time 0.313 build_memory 1284677312 f_measure 0.957413 [0.987013,0.904762,1,0.833333,1,0.909091] kappa 0.94709 kb_relative_information_score 102.142342 mean_absolute_error 0.059937 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 0.959305 [0.974359,0.863636,1,0.909091,1,1] predictive_accuracy 0.958333 prior_entropy 2.437791 recall 0.958333 [1,0.95,1,0.769231,1,0.833333] relative_absolute_error 0.225909 root_mean_prior_squared_error 0.363318 root_mean_squared_error 0.125568 root_relative_squared_error 0.345615 scimark_benchmark 942.318656 [549.886720604579, 1012.5880246437401, 482.14720472367435, 905.818919013148, 1761.1524117823017] total_cost 0 area_under_roc_curve 0.999033 [1,0.997,1,0.995687,1,1] average_cost 0 build_cpu_time 0.313 build_memory 1284677312 f_measure 0.957413 [0.987013,0.904762,1,0.833333,1,0.909091] kappa 0.94709 kb_relative_information_score 102.142342 mean_absolute_error 0.059937 mean_prior_absolute_error 0.265315 number_of_instances 120 [38,20,26,13,17,6] precision 0.959305 [0.974359,0.863636,1,0.909091,1,1] predictive_accuracy 0.958333 prior_entropy 2.437791 recall 0.958333 [1,0.95,1,0.769231,1,0.833333] relative_absolute_error 0.225909 root_mean_prior_squared_error 0.363318 root_mean_squared_error 0.125568 root_relative_squared_error 0.345615 total_cost 0