181 2 weka.Bagging_LWL_DecisionStump 1 Weka_3.7.10_9785 Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140. 2014-06-03T15:06:12 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.lazy.LWL 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 131 2 weka.LWL_DecisionStump 1 Weka_3.7.10_8034 Eibe Frank, Mark Hall, Bernhard Pfahringer: Locally Weighted Naive Bayes. In: 19th Conference in Uncertainty in Artificial Intelligence, 249-256, 2003. C. Atkeson, A. Moore, S. Schaal (1996). Locally weighted learning. AI Review.. 2014-05-15T00:21:38 English Weka_3.7.10 A flag true The nearest neighbour search algorithm to use (default: weka.core.neighboursearch.LinearNNSearch). D flag If set, classifier is run in debug mode and may output additional info to the console K option -1 Set the number of neighbours used to set the kernel bandwidth. (default all) U option 0 Set the weighting kernel shape to use. 0=Linear, 1=Epanechnikov, 2=Tricube, 3=Inverse, 4=Gaussian. (default 0 = Linear) W baselearner weka.classifiers.trees.DecisionStump Full name of base classifier. (default: weka.classifiers.trees.DecisionStump) W 62 1 weka.DecisionStump 1 Weka_3.7.10_9171 Weka implementation of DecisionStump 2014-04-04T14:39:21 English Weka_3.7.10 D flag If set, classifier is run in debug mode and may output additional info to the console Verified_Learning_Curve,Verified_Supervised_Classification Verified_Supervised_Classification https://api.openml.org/data/download/12675/weka.classifiers.lazy.LWL7434740444994289176.class class 5e16fca6848541d29e9c92ff1acf5198 Verified_Supervised_Classification https://api.openml.org/data/download/30177/weka.classifiers.meta.Bagging6824954095231533636.class class 0650bee732b532494db7be64c1f26659