<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Collection of Machine Learning Datasets for Supervised Machine
Learning</dc:title>
  <dc:title>R package MLDataR version 1.0.1</dc:title>
  <dc:description>Contains a collection of datasets for working with machine learning tasks.
    It will contain datasets for supervised machine learning Jiang (2020)&lt;doi:10.1016/j.beth.2020.05.002&gt; and will include datasets for classification and regression.
    The aim of this package is to use data generated around health and other domains.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10)</dc:relation>
  <dc:relation>Imports: ConfusionTableR, dplyr, parsnip, rsample, recipes, workflows,
ranger, caret, varhandle, OddsPlotty, ggplot2</dc:relation>
  <dc:relation>Suggests: rmarkdown, knitr</dc:relation>
  <dc:creator>Gary Hutson &lt;hutsons-hacks@outlook.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Gary Hutson [aut, cre] (ORCID: &lt;https://orcid.org/0000-0003-3534-6143&gt;),
  Asif Laldin [aut],
  Isabella Velásquez [aut]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=MLDataR/LICENSE)</dc:rights>
  <dc:date>2022-10-03</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=MLDataR</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.MLDataR</dc:identifier>
</oai_dc:dc>
