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