MLDataR: Collection of Machine Learning Datasets for Supervised Machine Learning (original) (raw)
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 |
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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 |
BugReports: | https://github.com/StatsGary/MLDataR/issues |
License: | MIT + file |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | MLDataR results |
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