Package: LearnSL 1.0.0

Víctor Amador Padilla

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.

Authors:Víctor Amador Padilla [aut, cre], Juan Jose Cuadrado Gallego [ctb], Universidad de Alcala [cph]

LearnSL_1.0.0.tar.gz
LearnSL_1.0.0.zip(r-4.5)LearnSL_1.0.0.zip(r-4.4)LearnSL_1.0.0.zip(r-4.3)
LearnSL_1.0.0.tgz(r-4.4-any)LearnSL_1.0.0.tgz(r-4.3-any)
LearnSL_1.0.0.tar.gz(r-4.5-noble)LearnSL_1.0.0.tar.gz(r-4.4-noble)
LearnSL_1.0.0.tgz(r-4.4-emscripten)LearnSL_1.0.0.tgz(r-4.3-emscripten)
LearnSL.pdf |LearnSL.html
LearnSL/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/comiseng/learnsl/issues

Datasets:

On CRAN:

6 exports 0.73 score 1 dependencies 1 scripts 121 downloads

Last updated 1 years agofrom:afb14b3ee9. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 14 2024
R-4.5-winOKSep 14 2024
R-4.5-linuxOKSep 14 2024
R-4.4-winOKSep 14 2024
R-4.4-macOKSep 14 2024
R-4.3-winOKSep 14 2024
R-4.3-macOKSep 14 2024

Exports:act_methoddecision_treeknnmultivariate_linear_regressionperceptronpolynomial_regression

Dependencies:cli