839 270 weka.CostSensitiveClassifier_REPTree 1 Weka_3.7.12-SNAPSHOT_10141 Weka implementation of CostSensitiveClassifier 2014-12-02T16:35:42 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). C option File name of a cost matrix to use. If this is not supplied, a cost matrix will be loaded on demand. The name of the on-demand file is the relation name of the training data plus ".cost", and the path to the on-demand file is specified with the -N option. M flag Minimize expected misclassification cost. Default is to reweight training instances according to costs per class N option D:\Desktop Name of a directory to search for cost files when loading costs on demand (default current directory). S option 1 Random number seed. (default 1) W baselearner weka.classifiers.trees.REPTree Full name of base classifier. (default: weka.classifiers.rules.ZeroR) cost-matrix option The cost matrix in Matlab single line format. output-debug-info flag If set, classifier is run in debug mode and may output additional info to the console W 379 1 weka.REPTree 5 Weka_3.7.12-SNAPSHOT_10274 Weka implementation of REPTree 2014-08-16T20:12:01 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). I option 0.0 Initial class value count (default 0) L option -1 Maximum tree depth (default -1, no maximum) M option 2 Set minimum number of instances per leaf (default 2). N option 3 Number of folds for reduced error pruning (default 3). P flag No pruning. R flag Spread initial count over all class values (i.e. don't use 1 per value) S option 1 Seed for random data shuffling (default 1). V option 0.001 Set minimum numeric class variance proportion of train variance for split (default 1e-3). 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_Supervised_Classification weka weka_3.7.12-SNAPSHOT