156 2 weka.Bagging_J48 1 Weka_3.7.10_9785 Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140. 2014-06-03T14:58:09 English Weka_3.7.10 D flag If set, classifier is run in debug mode and may output additional info to the console 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.J48 Full name of base classifier. (default: weka.classifiers.trees.REPTree) num-slots option 1 Number of execution slots. (default 1 - i.e. no parallelism) W 60 1 weka.J48 1 Weka_3.7.10_9117 Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA. 2014-04-04T14:39:13 English Weka_3.7.10 A flag Laplace smoothing for predicted probabilities. B flag Use binary splits only. C option 0.25 Set confidence threshold for pruning. (default 0.25) J flag Do not use MDL correction for info gain on numeric attributes. L flag Do not clean up after the tree has been built. M option 2 Set minimum number of instances per leaf. (default 2) N option Set number of folds for reduced error pruning. One fold is used as pruning set. (default 3) O flag Do not collapse tree. Q option Seed for random data shuffling (default 1). R flag Use reduced error pruning. S flag Don't perform subtree raising. U flag Use unpruned tree. Verified_Learning_Curve,Verified_Supervised_Classification Verified_Supervised_Classification https://api.openml.org/data/download/30060/weka.classifiers.meta.Bagging5034035441320577017.class class 0650bee732b532494db7be64c1f26659