841 265 weka.Bagging_BayesNet_K2 1 Weka_3.7.12-SNAPSHOT_10470 Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140. 2014-12-02T18:49:23 English Weka_3.7.12-SNAPSHOT -do-not-check-capabilities flag If set, classifier capabilities are not checked before classifier is built (use with caution). -represent-copies-using-weights flag Represent copies of instances using weights rather than explicitly. I option 10 Number of iterations. (default 10) L option Maximum tree depth (default -1, no maximum) M option Set minimum number of instances per leaf (default 2). N option Number of folds for reduced error pruning (default 3). O flag Calculate the out of bag error. P option 100 Size of each bag, as a percentage of the training set size. (default 100) R flag Spread initial count over all class values (i.e. don't use 1 per value) S option 1 Random number seed. (default 1) V option Set minimum numeric class variance proportion of train variance for split (default 1e-3). W baselearner weka.classifiers.bayes.BayesNet Full name of base classifier. (default: weka.classifiers.trees.REPTree) num-slots option 1 Number of execution slots. (default 1 - i.e. no parallelism) (use 0 to auto-detect number of cores) output-debug-info flag If set, classifier is run in debug mode and may output additional info to the console W 842 265 weka.BayesNet_K2 3 Weka_3.7.12-SNAPSHOT_10386 Weka implementation of BayesNet 2014-12-02T18:49:23 English Weka_3.7.12-SNAPSHOT -do-not-check-capabilities flag If set, classifier capabilities are not checked before classifier is built (use with caution). A option Initial count (alpha) B option BIF file to compare with D flag true Do not use ADTree data structure E option Estimator algorithm N flag Initial structure is empty (instead of Naive Bayes) P option Maximum number of parents Q baselearner weka.classifiers.bayes.net.search.local.K2 Search algorithm R flag Random order. (default false) S option Score type (BAYES, BDeu, MDL, ENTROPY and AIC) mbc flag Applies a Markov Blanket correction to the network structure, after a network structure is learned. This ensures that all nodes in the network are part of the Markov blanket of the classifier node. output-debug-info flag If set, classifier is run in debug mode and may output additional info to the console Q 843 265 weka.K2 3 Weka_3.7.12-SNAPSHOT_11247 G.F. Cooper, E. Herskovits (1990). A Bayesian method for constructing Bayesian belief networks from databases. G. Cooper, E. Herskovits (1992). A Bayesian method for the induction of probabilistic networks from data. Machine Learning. 9(4):309-347. 2014-12-02T18:49:23 English Weka_3.7.12-SNAPSHOT N flag Initial structure is empty (instead of Naive Bayes) P option 1 Maximum number of parents R flag Random order. (default false) S option BAYES Score type (BAYES, BDeu, MDL, ENTROPY and AIC) mbc flag Applies a Markov Blanket correction to the network structure, after a network structure is learned. This ensures that all nodes in the network are part of the Markov blanket of the classifier node. weka weka_3.7.12-SNAPSHOT weka weka_3.7.12-SNAPSHOT Verified_Supervised_Classification weka weka_3.7.12-SNAPSHOT https://api.openml.org/data/download/250255/weka.classifiers.meta.Bagging2484757388519104451.class class 836bceda0997672a5a891ddc13120cf3