hmeasure (1.0-2)

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The H-Measure and Other Scalar Classification Performance Metrics.

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 <> and David J. Hand <>

License: MIT + file LICENSE

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

Released about 1 year ago.

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