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    <title>topic Re: ensemble models in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/ensemble-models/m-p/354119#M5263</link>
    <description>&lt;P&gt;Hi Wendy,&lt;/P&gt;&lt;P&gt;Thanks for the papers. They all look like easy reads.&lt;/P&gt;&lt;P&gt;Thanks&lt;/P&gt;</description>
    <pubDate>Thu, 27 Apr 2017 14:04:41 GMT</pubDate>
    <dc:creator>frupaul</dc:creator>
    <dc:date>2017-04-27T14:04:41Z</dc:date>
    <item>
      <title>ensemble models</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/ensemble-models/m-p/354035#M5261</link>
      <description>&lt;P&gt;Hi everyone,&lt;/P&gt;&lt;P&gt;I passed my Predictive modeller (SAS EM 13.1) exam&amp;nbsp; about 6 months ago, and have managed to get into a data science role. I never really understood how ensemble models fit into the process flow in SAS EM. Which of the two obtions describe how they fit in the process flow:&lt;/P&gt;&lt;P&gt;a. The ensemble model note comes before the models, and then connects to the various models. e.g Ensemble model&amp;gt;&amp;gt;&amp;gt;&amp;gt;&amp;gt;&amp;gt;Linear Regression model&lt;/P&gt;&lt;P&gt;b. The ensemble model comes after the models,&amp;nbsp;in a similar manner to the&amp;nbsp;model comparison node. e.g Models&amp;gt;&amp;gt;&amp;gt;&amp;gt;&amp;gt;ensemble model&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Your response will be much appreciated.&lt;/P&gt;&lt;P&gt;Thanks,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Paul&lt;/P&gt;</description>
      <pubDate>Thu, 27 Apr 2017 10:24:22 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/ensemble-models/m-p/354035#M5261</guid>
      <dc:creator>frupaul</dc:creator>
      <dc:date>2017-04-27T10:24:22Z</dc:date>
    </item>
    <item>
      <title>Re: ensemble models</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/ensemble-models/m-p/354111#M5262</link>
      <description>&lt;P&gt;b - you connect multiple modeling nodes to an Ensemble node similar to Model Comparison.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;See this paper for some examples:&amp;nbsp;&lt;A href="https://support.sas.com/resources/papers/proceedings14/SAS133-2014.pdf" target="_self"&gt;https://support.sas.com/resources/papers/proceedings14/SAS133-2014.pdf&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;And this paper and post for more advanced ensemble models:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="https://support.sas.com/resources/papers/proceedings16/SAS3120-2016.pdf" target="_self"&gt;https://support.sas.com/resources/papers/proceedings16/SAS3120-2016.pdf&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="https://communities.sas.com/t5/SAS-Communities-Library/Quick-guide-to-implementing-advanced-ensemble-methods-in-SAS/ta-p/270341" target="_self"&gt;https://communities.sas.com/t5/SAS-Communities-Library/Quick-guide-to-implementing-advanced-ensemble-methods-in-SAS/ta-p/270341&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 27 Apr 2017 13:47:17 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/ensemble-models/m-p/354111#M5262</guid>
      <dc:creator>WendyCzika</dc:creator>
      <dc:date>2017-04-27T13:47:17Z</dc:date>
    </item>
    <item>
      <title>Re: ensemble models</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/ensemble-models/m-p/354119#M5263</link>
      <description>&lt;P&gt;Hi Wendy,&lt;/P&gt;&lt;P&gt;Thanks for the papers. They all look like easy reads.&lt;/P&gt;&lt;P&gt;Thanks&lt;/P&gt;</description>
      <pubDate>Thu, 27 Apr 2017 14:04:41 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/ensemble-models/m-p/354119#M5263</guid>
      <dc:creator>frupaul</dc:creator>
      <dc:date>2017-04-27T14:04:41Z</dc:date>
    </item>
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