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 <http://link.springer.com/article/10.1007/s10994-009-5119-5>, 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 <[email protected]> and David J. Hand <[email protected]>
MaintainerChristoforos Anagnostopoulos <[email protected]>
LicenseMIT + file LICENSE
Version1.0-2
URL http://www.hmeasure.net
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("hmeasure")

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hmeasure documentation built on Feb. 26, 2019, 5:04 p.m.