2080 815 weka.CostSensitiveClassifier_REPTree 5 Weka_3.7.13_10141 Weka implementation of CostSensitiveClassifier 2015-12-03T21:59:37 English Weka_3.7.13 -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 /Users/user/Desktop/weka-3-7-13 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. num-decimal-places option The number of decimal places for the output of numbers in the model (default 2). output-debug-info flag If set, classifier is run in debug mode and may output additional info to the console W 1724 1 weka.REPTree 15 Weka_3.7.13_11615 Weka implementation of REPTree 2015-11-10T18:00:39 English Weka_3.7.13 -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). num-decimal-places option The number of decimal places for the output of numbers in the model (default 2). output-debug-info flag If set, classifier is run in debug mode and may output additional info to the console study_15 study_20 study_34 Verified_Learning_Curve,Verified_Supervised_Classification weka weka_3.7.13 https://api.openml.org/data/download/1681137/weka.classifiers.trees.REPTree4861442233729821381.class class 652cbee6ca1caadc2f97b24d2e400c23 weka weka_3.7.13