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MultiClassROC: ROC Curves for Multi-Class Analysis

Function multiroc() can be used for computing and visualizing Receiver Operating Characteristics (ROC) and Area Under the Curve (AUC) for multi-class classification problems. It supports both One-vs-One approach by M.Bishop, C. (2006, ISBN:978-0-387-31073-2) and One-vs-All approach by Murphy P., K. (2012, ISBN:9780262018029).

Version: 0.1.0
Imports: ggplot2, pROC
Published: 2023-07-21
DOI: 10.32614/CRAN.package.MultiClassROC
Author: Marton Varga [cre, aut]
Maintainer: Marton Varga <vargamarton0723 at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: MultiClassROC results

Documentation:

Reference manual: MultiClassROC.pdf

Downloads:

Package source: MultiClassROC_0.1.0.tar.gz
Windows binaries: r-devel: MultiClassROC_0.1.0.zip, r-release: MultiClassROC_0.1.0.zip, r-oldrel: MultiClassROC_0.1.0.zip
macOS binaries: r-release (arm64): MultiClassROC_0.1.0.tgz, r-oldrel (arm64): MultiClassROC_0.1.0.tgz, r-release (x86_64): MultiClassROC_0.1.0.tgz, r-oldrel (x86_64): MultiClassROC_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MultiClassROC to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.