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weka.CVParameterSelection_SimpleLogistic

weka.CVParameterSelection_SimpleLogistic

Visibility: public Uploaded 21-04-2017 by Zeno van Cauter Weka_3.8.1 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.SimpleLogistic(6)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.functions.SimpleLogistic
XNumber of folds used for cross validation (default 10).default: 10
batch-sizeThe desired batch size for batch prediction (default 100).
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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