MLDataR: Collection of Machine Learning Datasets for Supervised Machine
Learning
Contains a collection of datasets for working with machine learning tasks.
It will contain datasets for supervised machine learning Jiang (2020)<doi:10.1016/j.beth.2020.05.002> and will include datasets for classification and regression.
The aim of this package is to use data generated around health and other domains.
| Version: |
1.0.1 |
| Depends: |
R (≥ 2.10) |
| Imports: |
ConfusionTableR, dplyr, parsnip, rsample, recipes, workflows, ranger, caret, varhandle, OddsPlotty, ggplot2 |
| Suggests: |
rmarkdown, knitr |
| Published: |
2022-10-03 |
| DOI: |
10.32614/CRAN.package.MLDataR |
| Author: |
Gary Hutson  [aut,
cre],
Asif Laldin [aut],
Isabella Velásquez [aut] |
| Maintainer: |
Gary Hutson <hutsons-hacks at outlook.com> |
| BugReports: |
https://github.com/StatsGary/MLDataR/issues |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
MLDataR results |
Documentation:
Downloads:
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