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 ORCID iD [aut, cre], Asif Laldin [aut], Isabella Velásquez [aut]
Maintainer: Gary Hutson <hutsons-hacks at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: NEWS
CRAN checks: MLDataR results


Reference manual: MLDataR.pdf
Vignettes: MLDataR


Package source: MLDataR_1.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): MLDataR_1.0.1.tgz, r-oldrel (arm64): MLDataR_1.0.1.tgz, r-release (x86_64): MLDataR_1.0.1.tgz, r-oldrel (x86_64): MLDataR_1.0.1.tgz
Old sources: MLDataR archive


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