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weka.classifiers.meta.FilteredClassifier(weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer),weka.classifiers.rules.ZeroR)

weka.classifiers.meta.FilteredClassifier(weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer),weka.classifiers.rules.ZeroR)

Visibility: public Uploaded 16-03-2019 by Jason Weka_3.9.3 1 runs
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Weka implementation.

Parameters

-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).default: ["false"]
FFull class name of filter to use, followed by filter options. default: "weka.filters.supervised.attribute.Discretize -R first-last -precision 6"default: ["weka.filters.unsupervised.attribute.StringToWordVector"]
SRandom number seed. (default 1)default: ["1"]
WFull name of base classifier. (default: weka.classifiers.trees.J48)default: ["weka.classifiers.rules.ZeroR"]
batch-sizeThe desired batch size for batch prediction (default 100).default: []
doNotCheckForModifiedClassAttributeIf set, classifier will not check whether the filter modifies the class (use with caution).default: ["false"]
num-decimal-placesThe number of decimal places for the output of numbers in the model (default 2).default: []
output-debug-infoIf set, classifier is run in debug mode and may output additional info to the consoledefault: ["false"]

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