LearnSL: Learn Supervised Classification Methods Through Examples and Code

Supervised classification methods, which (if asked) can provide step-by-step explanations of the algorithms used, as described in PK Josephine et. al., (2021) <doi:10.59176/kjcs.v1i1.1259>; and datasets to test them on, which highlight the strengths and weaknesses of each technique.

Version: 1.0.0
Depends: R (≥ 4.3.0)
Imports: cli (≥ 3.6.1)
Published: 2023-09-19
DOI: 10.32614/CRAN.package.LearnSL
Author: Víctor Amador Padilla [aut, cre], Juan Jose Cuadrado Gallego ORCID iD [ctb], Universidad de Alcala [cph]
Maintainer: Víctor Amador Padilla <victor.amador at edu.uah.es>
BugReports: https://github.com/ComiSeng/LearnSL/issues
License: MIT + file LICENSE
URL: https://github.com/ComiSeng/LearnSL
NeedsCompilation: no
Materials: README NEWS
CRAN checks: LearnSL results


Reference manual: LearnSL.pdf


Package source: LearnSL_1.0.0.tar.gz
Windows binaries: r-devel: LearnSL_1.0.0.zip, r-release: LearnSL_1.0.0.zip, r-oldrel: LearnSL_1.0.0.zip
macOS binaries: r-release (arm64): LearnSL_1.0.0.tgz, r-oldrel (arm64): LearnSL_1.0.0.tgz, r-release (x86_64): LearnSL_1.0.0.tgz, r-oldrel (x86_64): LearnSL_1.0.0.tgz


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