UAHDataScienceSC: Learn Supervised Classification Methods Through Examples andCode
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) |
| Suggests: | knitr,rmarkdown |
| Published: | 2025-02-17 |
| DOI: | 10.32614/CRAN.package.UAHDataScienceSC |
| Author: | Víctor Amador Padilla [aut], Juan Jose Cuadrado Gallego [ctb], Andriy Protsak Protsak [aut, cre], Universidad de Alcala [cph] |
| Maintainer: | Andriy Protsak Protsak <andriy.protsak at edu.uah.es> |
| License: | MIT + fileLICENSE |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | UAHDataScienceSC results |
Documentation:
| Reference manual: | UAHDataScienceSC.html ,UAHDataScienceSC.pdf |
| Vignettes: | Basic Functionality of UAHDataScienceSC (source,R code) |
Downloads:
| Package source: | UAHDataScienceSC_1.0.0.tar.gz |
| Windows binaries: | r-devel:UAHDataScienceSC_1.0.0.zip, r-release:UAHDataScienceSC_1.0.0.zip, r-oldrel:UAHDataScienceSC_1.0.0.zip |
| macOS binaries: | r-release (arm64):UAHDataScienceSC_1.0.0.tgz, r-oldrel (arm64):UAHDataScienceSC_1.0.0.tgz, r-release (x86_64):UAHDataScienceSC_1.0.0.tgz, r-oldrel (x86_64):UAHDataScienceSC_1.0.0.tgz |
Linking:
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