hmeasure: 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.

Package details

AuthorChristoforos Anagnostopoulos <> and David J. Hand <>
MaintainerChristoforos Anagnostopoulos <>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the hmeasure package in your browser

Any scripts or data that you put into this service are public.

hmeasure documentation built on May 2, 2019, 7 a.m.