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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 |
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 |
Reference manual: | MLDataR.pdf |
Vignettes: |
MLDataR |
Package source: | MLDataR_1.0.1.tar.gz |
Windows binaries: | r-devel: MLDataR_1.0.1.zip, r-release: MLDataR_1.0.1.zip, r-oldrel: MLDataR_1.0.1.zip |
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 |
Please use the canonical form https://CRAN.R-project.org/package=MLDataR to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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