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, r-oldrel (x86_64): MultiClassROC_0.1.0.tgz

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