logo thresholdSelector

A metaclassifier that selecting a mid-point threshold on the probability output by a Classifier. The midpoint threshold is set so that a given performance measure is optimized. Currently this is the F-measure. Performance is measured either on the training data, a hold-out set or using cross-validation. In addition, the probabilities returned by the base learner can have their range expanded so that the output probabilities will reside between 0 and 1 (this is useful if the scheme normally produces probabilities in a very narrow range).

homepage: weka.sourceforge.net/doc.packages/thresholdSelector
fresh index:
last release: 4 years ago, first release: 6 years ago
packaging: jar
get this artifact from: central
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