hmeasure (1.0-2)

The H-Measure and Other Scalar Classification Performance Metrics.

http://www.hmeasure.net
http://cran.r-project.org/web/packages/hmeasure

Classification performance metrics that are derived from the ROC curve of a classifier. The package includes the H-measure performance metric as described in , which computes the minimum total misclassification cost, integrating over any uncertainty about the relative misclassification costs, as per a user-defined prior. It also offers a one-stop-shop for other scalar metrics of performance, including sensitivity, specificity and many others, and also offers plotting tools for ROC curves and related statistics.

Maintainer: Christoforos Anagnostopoulos
Author(s): Christoforos Anagnostopoulos <christoforos.anagnostopoulos06@imperial.ac.uk> and David J. Hand <d.j.hand@imperial.ac.uk>

License: MIT + file LICENSE

Uses: MASS, class, testthat
Reverse depends: fscaret
Reverse suggests: rattle

Released about 1 year ago.