112544 2 Joaquin Vanschoren 265 Supervised Classification predictive_accuracy 405 weka.AdaBoostM1_J48(2) 628 weka.classifiers.meta.AdaBoostM1 -- -P 100 -S 1 -I 20 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 I 20 405 P 100 405 S 1 405 W weka.classifiers.trees.J48 405 C 0.25 365 M 2 365 35 dermatology https://www.openml.org/data/download/35/dataset_35_dermatology.arff -1 343421 description https://api.openml.org/data/download/343421/weka_generated_run1188482431372243685.xml -1 343424 model_readable https://api.openml.org/data/download/343424/WekaModel_weka.classifiers.meta.AdaBoostM12783220190558942391.model -1 343423 model_serialized https://api.openml.org/data/download/343423/WekaSerialized_weka.classifiers.meta.AdaBoostM13367816223530372539.model -1 343422 predictions https://api.openml.org/data/download/343422/weka_generated_predictions594431371783086048.arff area_under_roc_curve 0.989594 [1,0.9885,1,0.921639,1,1] average_cost 0 build_cpu_time 0.046 build_memory 1010286336 f_measure 0.97474 [1,0.952381,0.980392,0.916667,0.971429,1] kappa 0.968368 kb_relative_information_score 114.664401 mean_absolute_error 0.008372 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 0.031555 root_mean_prior_squared_error 0.363318 root_mean_squared_error 0.087953 root_relative_squared_error 0.242083 scimark_benchmark 890.306577 [519.7379820491665, 836.3519494571716, 477.2185884444444, 893.7743384501881, 1724.4500277703307] total_cost 0 area_under_roc_curve 0.989594 [1,0.9885,1,0.921639,1,1] average_cost 0 build_cpu_time 0.046 build_memory 1010286336 f_measure 0.97474 [1,0.952381,0.980392,0.916667,0.971429,1] kappa 0.968368 kb_relative_information_score 114.664401 mean_absolute_error 0.008372 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 0.031555 root_mean_prior_squared_error 0.363318 root_mean_squared_error 0.087953 root_relative_squared_error 0.242083 total_cost 0