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: 0.1.1
Depends: R (≥ 2.10)
Imports: ConfusionTableR, dplyr, parsnip, rsample, recipes, workflows, ranger
Suggests: rmarkdown, knitr
Published: 2022-01-05
Author: Gary Hutson ORCID iD [aut, cre]
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:

Reference manual: MLDataR.pdf
Vignettes: MLDataR

Downloads:

Package source: MLDataR_0.1.1.tar.gz
Windows binaries: r-devel: MLDataR_0.1.1.zip, r-release: MLDataR_0.1.1.zip, r-oldrel: MLDataR_0.1.1.zip
macOS binaries: r-release (arm64): MLDataR_0.1.1.tgz, r-release (x86_64): MLDataR_0.1.1.tgz, r-oldrel: not available

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