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    <title>topic Re: How to predict using Logistic Regression model? in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-predict-using-Logistic-Regression-model/m-p/377102#M19783</link>
    <description>&lt;P&gt;If you validated the model you must have scored the data to test your predictions. It's the same idea, score that record and assign the category.&lt;/P&gt;</description>
    <pubDate>Tue, 18 Jul 2017 19:13:19 GMT</pubDate>
    <dc:creator>Reeza</dc:creator>
    <dc:date>2017-07-18T19:13:19Z</dc:date>
    <item>
      <title>How to predict using Logistic Regression model?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-predict-using-Logistic-Regression-model/m-p/377101#M19782</link>
      <description>&lt;P&gt;Asssume I've built a logistic regression model to predict whether the loan can be given to the customer or not. Assume I've validated and implemented the model.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Now client has given me one record for the customer and asked me to predict whether the loan can given to that customer or not using the model which I built. I'm not sure how to predict the value for one customer using the model and I'm not certain what we need to look in the output.&lt;/P&gt;</description>
      <pubDate>Tue, 18 Jul 2017 19:10:47 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-predict-using-Logistic-Regression-model/m-p/377101#M19782</guid>
      <dc:creator>Babloo</dc:creator>
      <dc:date>2017-07-18T19:10:47Z</dc:date>
    </item>
    <item>
      <title>Re: How to predict using Logistic Regression model?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-predict-using-Logistic-Regression-model/m-p/377102#M19783</link>
      <description>&lt;P&gt;If you validated the model you must have scored the data to test your predictions. It's the same idea, score that record and assign the category.&lt;/P&gt;</description>
      <pubDate>Tue, 18 Jul 2017 19:13:19 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-predict-using-Logistic-Regression-model/m-p/377102#M19783</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2017-07-18T19:13:19Z</dc:date>
    </item>
    <item>
      <title>Re: How to predict using Logistic Regression model?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-predict-using-Logistic-Regression-model/m-p/377103#M19784</link>
      <description>&lt;P&gt;Could you please tell me how can we score the data in logistic regression model?&lt;/P&gt;</description>
      <pubDate>Tue, 18 Jul 2017 19:20:00 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-predict-using-Logistic-Regression-model/m-p/377103#M19784</guid>
      <dc:creator>Babloo</dc:creator>
      <dc:date>2017-07-18T19:20:00Z</dc:date>
    </item>
    <item>
      <title>Re: How to predict using Logistic Regression model?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-predict-using-Logistic-Regression-model/m-p/377108#M19786</link>
      <description>&lt;P&gt;When you run the procedure, you need to store some information so that SAS can later score the data. There are several ways, as explained in the article &lt;A href="http://blogs.sas.com/content/iml/2014/02/19/scoring-a-regression-model-in-sas.html" target="_self"&gt;"Techniques for scoring a regression model in SAS"&lt;/A&gt;&amp;nbsp; I recommend the section "The STORE statement and the PLM procedure" because that enables you to score, compute tests/estimates/contrasts, and even &lt;A href="http://blogs.sas.com/content/iml/2016/06/22/sas-effectplot-statement.html" target="_self"&gt;produce graphics that visualize the model&lt;/A&gt;.&lt;/P&gt;</description>
      <pubDate>Tue, 18 Jul 2017 19:28:34 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-predict-using-Logistic-Regression-model/m-p/377108#M19786</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2017-07-18T19:28:34Z</dc:date>
    </item>
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