533 2 weka.Bagging_RandomTree 2 Weka_3.7.12-SNAPSHOT_10470 Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140. 2014-08-18T17:43:47 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.trees.RandomTree 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 421 2 weka.RandomTree 2 Weka_3.7.12-SNAPSHOT_11006 Weka implementation of RandomTree 2014-08-18T16:52:23 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). K option 0 Number of attributes to randomly investigate. (default 0) (<0 = int(log_2(#predictors)+1)). M option 1.0 Set minimum number of instances per leaf. (default 1) N option Number of folds for backfitting (default 0, no backfitting). S option 1 Seed for random number generator. (default 1) U flag Allow unclassified instances. V option 0.001 Set minimum numeric class variance proportion of train variance for split (default 1e-3). depth option The maximum depth of the tree, 0 for unlimited. (default 0) output-debug-info flag If set, classifier is run in debug mode and may output additional info to the console study_2 study_37 Verified_Learning_Curve,Verified_Supervised_Classification study_2 study_37 Verified_Learning_Curve,Verified_Supervised_Classification https://api.openml.org/data/download/51627/weka.classifiers.meta.Bagging1269850360557879880.class class 3d52ba6b5b5403d48c0882b91eb51076