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 |
| Author: | Doulaye Dembele |
| Maintainer: | Doulaye Dembele <doulaye at igbmc.fr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | eve results |
| Reference manual: | eve.html , eve.pdf |
| Package source: | eve_1.0.tar.gz |
| Windows binaries: | r-devel: eve_1.0.zip, r-release: eve_1.0.zip, r-oldrel: eve_1.0.zip |
| 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 |
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