315449 2 Joaquin Vanschoren 265 Supervised Classification predictive_accuracy 1168 weka.BayesNet_K2(6) 1921 weka.classifiers.bayes.BayesNet -- -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.SimpleEstimator -- -A 0.5 D true 1168 Q weka.classifiers.bayes.net.search.local.K2 1168 P 1 1169 S BAYES 1169 weka weka_3.7.12 35 dermatology https://www.openml.org/data/download/35/dataset_35_dermatology.arff -1 1072317 description https://api.openml.org/data/download/1072317/weka_generated_run575899522206844913.xml -1 1072320 model_readable https://api.openml.org/data/download/1072320/WekaModel_weka.classifiers.bayes.BayesNet5264342107201405382.model -1 1072319 model_serialized https://api.openml.org/data/download/1072319/WekaSerialized_weka.classifiers.bayes.BayesNet1420046779469299249.model -1 1072318 predictions https://api.openml.org/data/download/1072318/weka_generated_predictions1094554956662952987.arff area_under_roc_curve 1 [1,1,1,1,1,1] average_cost 0 f_measure 0.98349 [1,0.947368,1,0.928571,1,1] kappa 0.978947 kb_relative_information_score 115.682301 mean_absolute_error 0.009263 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 0.985556 [1,1,1,0.866667,1,1] predictive_accuracy 0.983333 prior_entropy 2.437791 recall 0.983333 [1,0.9,1,1,1,1] relative_absolute_error 0.034914 root_mean_prior_squared_error 0.363318 root_mean_squared_error 0.060592 root_relative_squared_error 0.166775 scimark_benchmark 918.021262 [502.084240498502, 989.450586616758, 434.1859290207269, 908.3298941433044, 1756.0556588021248] total_cost 0 usercpu_time_millis 10 usercpu_time_millis_testing 10 usercpu_time_millis_training 0 area_under_roc_curve 1 [1,1,1,1,1,1] average_cost 0 f_measure 0.98349 [1,0.947368,1,0.928571,1,1] kappa 0.978947 kb_relative_information_score 115.682301 mean_absolute_error 0.009263 mean_prior_absolute_error 0.265315 number_of_instances 120 [38,20,26,13,17,6] precision 0.985556 [1,1,1,0.866667,1,1] predictive_accuracy 0.983333 prior_entropy 2.437791 recall 0.983333 [1,0.9,1,1,1,1] relative_absolute_error 0.034914 root_mean_prior_squared_error 0.363318 root_mean_squared_error 0.060592 root_relative_squared_error 0.166775 total_cost 0 usercpu_time_millis 10 usercpu_time_millis_testing 0 usercpu_time_millis_training 10