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weka.CVParameterSelection_REPTree

weka.CVParameterSelection_REPTree

Visibility: public Uploaded 03-12-2014 by Ky-Anh Tran Weka_3.7.12-SNAPSHOT 1 runs
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  • Verified_Supervised_Classification weka weka_3.7.12-SNAPSHOT
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R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.

Components

Wweka.REPTree(5)Full name of base classifier. (default: weka.classifiers.rules.ZeroR)

Parameters

-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).
PClassifier parameter options. eg: "N 1 5 10" Sets an optimisation parameter for the classifier with name -N, with lower bound 1, upper bound 5, and 10 optimisation steps. The upper bound may be the character 'A' or 'I' to substitute the number of attributes or instances in the training data, respectively. This parameter may be supplied more than once to optimise over several classifier options simultaneously.
SRandom number seed. (default 1)default: 1
WFull name of base classifier. (default: weka.classifiers.rules.ZeroR)default: weka.classifiers.trees.REPTree
XNumber of folds used for cross validation (default 10).default: 10
output-debug-infoIf set, classifier is run in debug mode and may output additional info to the console

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