Package: eve 1.1

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.

Authors:Doulaye Dembele [aut, cre]

eve_1.1.tar.gz
eve_1.1.zip(r-4.7-any)eve_1.1.zip(r-4.6-any)eve_1.1.zip(r-4.5-any)
eve_1.1.tgz(r-4.6-any)eve_1.1.tgz(r-4.5-any)
eve_1.1.tar.gz(r-4.7-any)eve_1.1.tar.gz(r-4.6-any)
eve_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
eve/json (API)

# Install 'eve' in R:
install.packages('eve', repos = c('https://doulaye.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 2 scripts 285 downloads 15 exports 0 dependencies

Last updated from:2ea2775d18. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK98
source / vignettesOK124
linux-releaseOK127
macos-releaseOK75
macos-oldrelOK97
windows-develOK52
windows-releaseOK56
windows-oldrelOK49
wasm-releaseOK71

Exports:eveeve.acceve.amateve.bivaleve.bmateve.boundseve.ceneve.eigenseve.kappaeve.mcceve.mceneve.mmatteve.nmim2two.am2two.k

Dependencies: