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    <title>topic Re: Boruta Algorithm in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/Boruta-Algorithm/m-p/850553#M10398</link>
    <description>&lt;P&gt;Hello,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Boruta (R Package) is a wrapper method of the Feature selection built around the Random Forest Classifier algorithm.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;It works with "shuffled" features , known as Shadow Features.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;The Data Science Pilot Action Set in&lt;BR /&gt;SAS Visual Data Mining and Machine Learning &lt;BR /&gt;has a &lt;EM&gt;generateShadowFeatures&lt;/EM&gt; action to generate two shadow features per variable.&lt;BR /&gt;But I have no clue how these are exactly built.&lt;BR /&gt;&lt;A href="https://go.documentation.sas.com/doc/en/pgmsascdc/v_033/casactml/casactml_datasciencepilot_examples43.htm" target="_blank"&gt;https://go.documentation.sas.com/doc/en/pgmsascdc/v_033/casactml/casactml_datasciencepilot_examples43.htm&lt;/A&gt;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Koen&lt;/SPAN&gt;&lt;/P&gt;</description>
    <pubDate>Tue, 20 Dec 2022 22:05:23 GMT</pubDate>
    <dc:creator>sbxkoenk</dc:creator>
    <dc:date>2022-12-20T22:05:23Z</dc:date>
    <item>
      <title>Boruta Algorithm</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Boruta-Algorithm/m-p/850534#M10396</link>
      <description>&lt;P&gt;Hi guys.&lt;BR /&gt;There is some form to generate feature selection with the Boruta algorithm in SAS 9.4 or Viya. or is there a similar procedure in SAS?&lt;BR /&gt;Thanks&lt;/P&gt;</description>
      <pubDate>Tue, 20 Dec 2022 19:55:53 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Boruta-Algorithm/m-p/850534#M10396</guid>
      <dc:creator>FCN_93</dc:creator>
      <dc:date>2022-12-20T19:55:53Z</dc:date>
    </item>
    <item>
      <title>Re: Boruta Algorithm</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Boruta-Algorithm/m-p/850553#M10398</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Boruta (R Package) is a wrapper method of the Feature selection built around the Random Forest Classifier algorithm.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;It works with "shuffled" features , known as Shadow Features.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;The Data Science Pilot Action Set in&lt;BR /&gt;SAS Visual Data Mining and Machine Learning &lt;BR /&gt;has a &lt;EM&gt;generateShadowFeatures&lt;/EM&gt; action to generate two shadow features per variable.&lt;BR /&gt;But I have no clue how these are exactly built.&lt;BR /&gt;&lt;A href="https://go.documentation.sas.com/doc/en/pgmsascdc/v_033/casactml/casactml_datasciencepilot_examples43.htm" target="_blank"&gt;https://go.documentation.sas.com/doc/en/pgmsascdc/v_033/casactml/casactml_datasciencepilot_examples43.htm&lt;/A&gt;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Koen&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 20 Dec 2022 22:05:23 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Boruta-Algorithm/m-p/850553#M10398</guid>
      <dc:creator>sbxkoenk</dc:creator>
      <dc:date>2022-12-20T22:05:23Z</dc:date>
    </item>
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