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weka.CVParameterSelection_ZeroR

weka.CVParameterSelection_ZeroR

Visibility: public Uploaded 07-10-2014 by Joaquin Vanschoren Weka_3.7.12-SNAPSHOT 86 runs
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  • study_2 study_37 Verified_Learning_Curve,Verified_Supervised_Classification
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R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.

Components

Wweka.ZeroR(2)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.rules.ZeroR
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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