<?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>Learn Supervised Classification Methods Through Examples and
Code</dc:title>
  <dc:title>R package LearnSL version 1.0.0</dc:title>
  <dc:description>Supervised classification methods, which (if asked) can provide
    step-by-step explanations of the algorithms used, as described in
    PK Josephine et. al., (2021) &lt;doi:10.59176/kjcs.v1i1.1259&gt;; and datasets to
    test them on, which highlight the strengths and weaknesses of each technique.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.3.0)</dc:relation>
  <dc:relation>Imports: cli (&gt;= 3.6.1)</dc:relation>
  <dc:creator>Víctor Amador Padilla &lt;victor.amador@edu.uah.es&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Víctor Amador Padilla [aut, cre],
  Juan Jose Cuadrado Gallego [ctb] (ORCID:
    &lt;https://orcid.org/0000-0001-8178-5556&gt;),
  Universidad de Alcala [cph]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=LearnSL/LICENSE)</dc:rights>
  <dc:date>2023-09-19</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=LearnSL</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.LearnSL</dc:identifier>
</oai_dc:dc>
