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
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

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