UAHDataScienceSC: 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) |
| Suggests: |
knitr, rmarkdown |
| Published: |
2025-02-17 |
| 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 + file LICENSE |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
UAHDataScienceSC results |
Documentation:
Downloads:
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