<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic One-Versus-Rest (OVR)  and the One-Versus-One (OVO) LDA in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/One-Versus-Rest-OVR-and-the-One-Versus-One-OVO-LDA/m-p/807912#M98736</link>
    <description>&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I'm looking for a way to test a different LDA strategy than the standard One-off (or hand-out) method when trying to predict a categorical response with multiple classes.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I'm particularly interested in the&amp;nbsp;One-Versus-Rest (OVR)&amp;nbsp; (also referred to as One-Versus-All or OVA)&amp;nbsp; and the One-Versus-One (OVO) strategies.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;So, instead of using the default&amp;nbsp;One-off LDA which seeks to solve the classication problem for all classes in the model simultaneously I would like to try testing&amp;nbsp; OVR strategy (which divides each class into two groups, trans- forming the k-class classi?cation problem into a k − 1 round binary classi?cation problem) and OVO strategy.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Any idea how to do this in JMP?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks in advance!&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Thu, 24 Oct 2024 08:29:01 GMT</pubDate>
    <dc:creator>Quentin26</dc:creator>
    <dc:date>2024-10-24T08:29:01Z</dc:date>
    <item>
      <title>One-Versus-Rest (OVR)  and the One-Versus-One (OVO) LDA</title>
      <link>https://community.jmp.com/t5/Discussions/One-Versus-Rest-OVR-and-the-One-Versus-One-OVO-LDA/m-p/807912#M98736</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I'm looking for a way to test a different LDA strategy than the standard One-off (or hand-out) method when trying to predict a categorical response with multiple classes.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I'm particularly interested in the&amp;nbsp;One-Versus-Rest (OVR)&amp;nbsp; (also referred to as One-Versus-All or OVA)&amp;nbsp; and the One-Versus-One (OVO) strategies.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;So, instead of using the default&amp;nbsp;One-off LDA which seeks to solve the classication problem for all classes in the model simultaneously I would like to try testing&amp;nbsp; OVR strategy (which divides each class into two groups, trans- forming the k-class classi?cation problem into a k − 1 round binary classi?cation problem) and OVO strategy.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Any idea how to do this in JMP?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks in advance!&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 24 Oct 2024 08:29:01 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/One-Versus-Rest-OVR-and-the-One-Versus-One-OVO-LDA/m-p/807912#M98736</guid>
      <dc:creator>Quentin26</dc:creator>
      <dc:date>2024-10-24T08:29:01Z</dc:date>
    </item>
  </channel>
</rss>

