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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 |
| 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:
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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.
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