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    <title>topic Logistic Regression in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/Logistic-Regression/m-p/280370#M4167</link>
    <description>&lt;P&gt;Dear all ,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;I would like to test the strength of the explanatory variables in the regression model.&lt;/P&gt;&lt;P&gt;In other words, I would like to test if one will always get the same variables for the model and the same level of importance.&lt;/P&gt;&lt;P&gt;How can I examine&amp;nbsp;it?&lt;/P&gt;&lt;P&gt;Thanks ,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Moshe&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Mon, 27 Jun 2016 09:51:38 GMT</pubDate>
    <dc:creator>mosheke</dc:creator>
    <dc:date>2016-06-27T09:51:38Z</dc:date>
    <item>
      <title>Logistic Regression</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Logistic-Regression/m-p/280370#M4167</link>
      <description>&lt;P&gt;Dear all ,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;I would like to test the strength of the explanatory variables in the regression model.&lt;/P&gt;&lt;P&gt;In other words, I would like to test if one will always get the same variables for the model and the same level of importance.&lt;/P&gt;&lt;P&gt;How can I examine&amp;nbsp;it?&lt;/P&gt;&lt;P&gt;Thanks ,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Moshe&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 27 Jun 2016 09:51:38 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Logistic-Regression/m-p/280370#M4167</guid>
      <dc:creator>mosheke</dc:creator>
      <dc:date>2016-06-27T09:51:38Z</dc:date>
    </item>
    <item>
      <title>Re: Logistic Regression</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Logistic-Regression/m-p/280825#M4177</link>
      <description>&lt;P&gt;Hi.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;If you are using Enterprise Miner, you could try running your logistic regression flow using different sampling seeds and eyeball the selected variables in the regression node results. That's the "low-tech" approach.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;If you want more confidence, look into the Group Processing nodes (Start Groups and End Groups) in EM. They allow you to repeatedly run a flow "i" times. You would use a different sample (with replacement) at each iteration and would need to accumulate the selected variables across iterations. The end result would be a frequency distribution of selected variables.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;This site has some tips on how to use the group processing nodes.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I hope this helps.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Ray&lt;/P&gt;</description>
      <pubDate>Tue, 28 Jun 2016 15:24:02 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Logistic-Regression/m-p/280825#M4177</guid>
      <dc:creator>rayIII</dc:creator>
      <dc:date>2016-06-28T15:24:02Z</dc:date>
    </item>
    <item>
      <title>Re: Logistic Regression</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Logistic-Regression/m-p/280983#M4179</link>
      <description>&lt;P&gt;Dear Ray ,&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you so much for your replay&amp;nbsp;,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I&amp;nbsp;know that there is a &amp;nbsp;solution with start end node.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I tried it, but have not found the way to see there selected choice of the independent variable&amp;nbsp;every iteration.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Also, I didnt understand the difference between bagging and boosting at the start Group node.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Any help will be very much appreciated.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Moshe&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp; &amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 29 Jun 2016 06:12:17 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Logistic-Regression/m-p/280983#M4179</guid>
      <dc:creator>mosheke</dc:creator>
      <dc:date>2016-06-29T06:12:17Z</dc:date>
    </item>
    <item>
      <title>Re: Logistic Regression</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Logistic-Regression/m-p/281099#M4181</link>
      <description>&lt;P&gt;No problem.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Take a look&amp;nbsp;at&amp;nbsp;Index mode (not boosting or bagging). This tip may help: it&amp;nbsp;is not exactly what you are trying to do but it uses Index mode to iterative over the data and accumulate data for a chart.&amp;nbsp;&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/Tip-How-to-Use-Index-Looping-in-SAS-Enterprise-Miner-to-Perform/ta-p/221291" target="_blank"&gt;https://communities.sas.com/t5/SAS-Communities-Library/Tip-How-to-Use-Index-Looping-in-SAS-Enterprise-Miner-to-Perform/ta-p/221291&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I see a couple of datasets on the SAS server (reg_effects, reg_outterms) that appear to contain the selected inputs for a particular run.&amp;nbsp;You'll probably need a SAS code to accumulate the selected effects across iterations. Proc Append may come in handy.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Once you get a simple flow working with Index mode it should be straightforward to customize it for your purpose.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Ray&lt;/P&gt;</description>
      <pubDate>Wed, 29 Jun 2016 13:27:51 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Logistic-Regression/m-p/281099#M4181</guid>
      <dc:creator>rayIII</dc:creator>
      <dc:date>2016-06-29T13:27:51Z</dc:date>
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