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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 |
| 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.
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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