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: Linking:Please use the canonical form https://CRAN.R-project.org/package=MLDataR to link to this page.
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