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).

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Download nz.ac.waikato.cms.weka : thresholdSelector JAR file - Latest Versions:

• Latest Stable: 1.0.3.jar

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Download nz.ac.waikato.cms.weka : thresholdSelector JAR file - All Versions:

Version		Vulnerabilities	Size	Updated
1.0.x	thresholdSelector-1.0.3.jar		12.87 KB	Apr 25, 2014
	thresholdSelector-1.0.2.jar		12.79 KB	Apr 26, 2012
	thresholdSelector-1.0.1.jar		12.79 KB	Apr 24, 2012

View Java Class Source Code in JAR file

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2. Click menu "File → Open File..." or just drag-and-drop the JAR file in the JD-GUI window thresholdSelector-1.0.3.jar file.
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weka.classifiers.meta

├─ weka.classifiers.meta.ThresholdSelector.class - [JAR]