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: 3 years ago, first release: 5 years ago
packaging: jar
get this artifact from: central
see this artifact on: search.maven.org




This chart shows how much is this artifact used as a dependency in other Maven artifacts in Central repository and GitHub:



© Jiri Pinkas 2015 - 2016. Admin login To submit bugs / feature requests please use this github page
related: JavaVids | Top Java Blogs | Java školení | monitored using: sitemonitoring
Apache and Apache Maven are trademarks of the Apache Software Foundation. The Central Repository is a service mark of Sonatype, Inc.