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weka.CVParameterSelection_ZeroR

weka.CVParameterSelection_ZeroR

Visibility: public Uploaded 01-06-2016 by Jan van Rijn Weka_3.7.13 0 runs
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R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.

Components

Wweka.ZeroR(9)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
num-decimal-placesThe number of decimal places for the output of numbers in the model (default 2).
output-debug-infoIf set, classifier is run in debug mode and may output additional info to the console

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