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    <title>topic How to make more sense of the modeling ? in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-make-more-sense-of-the-modeling/m-p/327441#M17279</link>
    <description>&lt;P&gt;Dear all,&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I am modeling a logistic regression model , with 14 explaination varibles , and 50,000 records. &amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Model fitting result:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;All 14 variables are significant.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;R-Square = &amp;nbsp;0.1927&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Hosmer and Lemeshow Goodness-of-Fit Test&lt;/P&gt;&lt;P&gt;Chi-Square DF Pr &amp;gt; ChiSq&lt;/P&gt;&lt;P&gt;374.8494 8 &amp;lt;.0001&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;We can see the model only explain 19.27% &amp;nbsp;of the data. &amp;nbsp;Is this model useful at all ? &amp;nbsp;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you,&lt;/P&gt;&lt;P&gt;Ivy &amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Wed, 25 Jan 2017 16:41:36 GMT</pubDate>
    <dc:creator>Ivy</dc:creator>
    <dc:date>2017-01-25T16:41:36Z</dc:date>
    <item>
      <title>How to make more sense of the modeling ?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-make-more-sense-of-the-modeling/m-p/327441#M17279</link>
      <description>&lt;P&gt;Dear all,&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I am modeling a logistic regression model , with 14 explaination varibles , and 50,000 records. &amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Model fitting result:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;All 14 variables are significant.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;R-Square = &amp;nbsp;0.1927&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Hosmer and Lemeshow Goodness-of-Fit Test&lt;/P&gt;&lt;P&gt;Chi-Square DF Pr &amp;gt; ChiSq&lt;/P&gt;&lt;P&gt;374.8494 8 &amp;lt;.0001&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;We can see the model only explain 19.27% &amp;nbsp;of the data. &amp;nbsp;Is this model useful at all ? &amp;nbsp;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you,&lt;/P&gt;&lt;P&gt;Ivy &amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 25 Jan 2017 16:41:36 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-make-more-sense-of-the-modeling/m-p/327441#M17279</guid>
      <dc:creator>Ivy</dc:creator>
      <dc:date>2017-01-25T16:41:36Z</dc:date>
    </item>
    <item>
      <title>Re: How to make more sense of the modeling ?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-make-more-sense-of-the-modeling/m-p/327504#M17280</link>
      <description>&lt;P&gt;R squared isn't a good measure of model accuracy for LOGISTIC regression.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;There is a pseudo-R squared value and other metrics that are more important. The documentation has examples or google search for evaluating LOGISTIC regression models.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 25 Jan 2017 19:26:08 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-make-more-sense-of-the-modeling/m-p/327504#M17280</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2017-01-25T19:26:08Z</dc:date>
    </item>
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