<?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>MARS SVR Hybrid</dc:title>
  <dc:title>R package MARSSVRhybrid version 0.1.0</dc:title>
  <dc:description>Multivariate Adaptive Regression Spline (MARS) based Support Vector Regression (SVR) hybrid model is combined Machine learning hybrid approach which selects important variables using MARS and then fits SVR on the extracted important variables.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.3.0),e1071,earth,stats</dc:relation>
  <dc:creator>Pankaj Das &lt;pankaj.das2@icar.gov.in&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Pankaj Das [aut, cre],
  Achal Lama [aut],
  Girish Jha [ths]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2021-01-09</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=MARSSVRhybrid</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.MARSSVRhybrid</dc:identifier>
</oai_dc:dc>
