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eve: The Eigenvalues Entropy as a Classifier Evaluation Measure

The confusion matrix (CM) is used to get a classifier's evaluation measure in order to select a method among many. A stochastic matrix and its transformation are computed from the CM. The eigenvalues of the transformed symmetric matrix are used to get an entropy which appears to be a good evaluation measure. Many other measures, commonly used, are provided for comparison purpose.

Version: 1.0
Depends: R (≥ 4.0)
Published: 2025-11-11
DOI: 10.32614/CRAN.package.eve (may not be active yet)
Author: Doulaye Dembele ORCID iD [aut, cre]
Maintainer: Doulaye Dembele <doulaye at igbmc.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: eve results

Documentation:

Reference manual: eve.html , eve.pdf

Downloads:

Package source: eve_1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): eve_1.0.tgz, r-oldrel (arm64): eve_1.0.tgz, r-release (x86_64): eve_1.0.tgz, r-oldrel (x86_64): eve_1.0.tgz

Linking:

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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.