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: VÃctor Amador Padilla [aut, cre], Juan Jose Cuadrado Gallego [ctb], Universidad de Alcala [cph] Maintainer: VÃctor 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 Documentation: Reference manual: LearnSL.html , LearnSL.pdf Downloads: 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 Linking:Please use the canonical form https://CRAN.R-project.org/package=LearnSL to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4