canagnos/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.
Getting started
Browse package contents
Package details |
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| Author | Christoforos Anagnostopoulos <christoforos.anagnostopoulos06@imperial.ac.uk> and David J. Hand <d.j.hand@imperial.ac.uk> |
| Maintainer | Christoforos Anagnostopoulos <christoforos.anagnostopoulos06@imperial.ac.uk> |
| License | MIT + file LICENSE |
| Version | 1.0-2 |
| URL | http://www.hmeasure.net |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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