Package: eve 1.0
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:
eve_1.0.tar.gz
eve_1.0.zip(r-4.7)eve_1.0.zip(r-4.6)eve_1.0.zip(r-4.5)
eve_1.0.tgz(r-4.6-any)eve_1.0.tgz(r-4.5-any)
eve_1.0.tar.gz(r-4.7-any)eve_1.0.tar.gz(r-4.6-any)
eve_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:369af34590. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 89 | ||
| source / vignettes | OK | 186 | ||
| linux-release-x86_64 | OK | 94 | ||
| macos-release-arm64 | OK | 77 | ||
| macos-oldrel-arm64 | OK | 88 | ||
| windows-devel | OK | 80 | ||
| windows-release | OK | 85 | ||
| windows-oldrel | OK | 74 | ||
| wasm-release | OK | 85 |
Exports:eveeve.acceve.bivaleve.boundseve.ceneve.eigenseve.kappaeve.mcceve.mceneve.mmatteve.nmim2twom2two.k
Dependencies:
