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.">

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
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 ORCID iD [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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