528 2 weka.Bagging_LWL_DecisionStump 2 Weka_3.7.12-SNAPSHOT_10470 Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140. 2014-08-18T17:34:41 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.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) (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 414 2 weka.LWL_DecisionStump 2 Weka_3.7.12-SNAPSHOT_10141 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.. 2014-08-18T16:48:48 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 flag true The nearest neighbour search algorithm to use (default: weka.core.neighboursearch.LinearNNSearch). 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) output-debug-info flag If set, classifier is run in debug mode and may output additional info to the console W 377 1 weka.DecisionStump 2 Weka_3.7.12-SNAPSHOT_9171 Weka implementation of DecisionStump 2014-08-16T20:11:33 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). 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 Verified_Learning_Curve,Verified_Supervised_Classification Verified_Learning_Curve,Verified_Supervised_Classification https://api.openml.org/data/download/51522/weka.classifiers.meta.Bagging786924871370452447.class class 3d52ba6b5b5403d48c0882b91eb51076