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    <title>topic Re: How to calculate the ROC Index Confidence Interval in Enterprise Miner 14.1 in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/How-to-calculate-the-ROC-Index-Confidence-Interval-in-Enterprise/m-p/459350#M6951</link>
    <description>&lt;P&gt;Unfortunately to my knowledge, Enterprise Miner does not compute confidence intervals for the ROC index.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I hadn't heard of confidence intervals on ROC curves before, so I decided to look it up. I found several different results,&amp;nbsp;so unfortunately I'm not sure what method you need for your work.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Ultimately, if you know the equations behind the confidence interval calculation, then you can use a SAS code node to do the computations for the ROC index and the confidence interval after the modeling node.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I hope this helps guide your work. Let me know if there's anything I can help with here.&lt;/P&gt;</description>
    <pubDate>Wed, 02 May 2018 15:01:06 GMT</pubDate>
    <dc:creator>RalphAbbey</dc:creator>
    <dc:date>2018-05-02T15:01:06Z</dc:date>
    <item>
      <title>How to calculate the ROC Index Confidence Interval in Enterprise Miner 14.1</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/How-to-calculate-the-ROC-Index-Confidence-Interval-in-Enterprise/m-p/454375#M6895</link>
      <description>&lt;P class="western"&gt;&lt;SPAN&gt;&lt;FONT color="#333333"&gt;&lt;FONT face="HelevticaNeue-light, Helvetica Neue, Helvetica, Arial, sans-serif"&gt;&lt;FONT size="2"&gt;Dear Community&lt;/FONT&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P class="western"&gt;&amp;nbsp;&lt;/P&gt;&lt;P class="western"&gt;&lt;SPAN&gt;&lt;FONT color="#333333"&gt;&lt;FONT face="HelevticaNeue-light, Helvetica Neue, Helvetica, Arial, sans-serif"&gt;&lt;FONT size="2"&gt;I have constructed a workflow as below. My data contain categorical predictors, natural language and a target. The text miner nodes creates predictors from the text. Three models were trained: a &lt;/FONT&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;FONT color="#333333"&gt;&lt;FONT face="HelevticaNeue-light, Helvetica Neue, Helvetica, Arial, sans-serif"&gt;&lt;FONT size="2"&gt;N&lt;/FONT&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;FONT color="#333333"&gt;&lt;FONT face="HelevticaNeue-light, Helvetica Neue, Helvetica, Arial, sans-serif"&gt;&lt;FONT size="2"&gt;eural &lt;/FONT&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;FONT color="#333333"&gt;&lt;FONT face="HelevticaNeue-light, Helvetica Neue, Helvetica, Arial, sans-serif"&gt;&lt;FONT size="2"&gt;N&lt;/FONT&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;FONT color="#333333"&gt;&lt;FONT face="HelevticaNeue-light, Helvetica Neue, Helvetica, Arial, sans-serif"&gt;&lt;FONT size="2"&gt;etwork, Lasso with cross validation (LARS node) and a Random Forest. The first Random Forest node makes predictor selection. I used the ROC Index in the Model Comparison Node for model selection. The chosen model (Random Forest) was then validated using an independent test set. I would like to publish the results (ROC Index for the test set) but in my field (biomedical research) 95% confidence intervals (CI) are expected/mandatory.&lt;/FONT&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;/SPAN&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Diagram for community.png" style="width: 827px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/19827i548A037D1E07F9EC/image-dimensions/827x193?v=v2" width="827" height="193" role="button" title="Diagram for community.png" alt="Diagram for community.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P class="western"&gt;&lt;SPAN&gt;&lt;FONT color="#333333"&gt;&lt;FONT face="HelevticaNeue-light, Helvetica Neue, Helvetica, Arial, sans-serif"&gt;&lt;FONT size="2"&gt;As far as I understand, confidence intervals can not be produced by the Model Comparison node.&lt;/FONT&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P class="western"&gt;&amp;nbsp;&lt;/P&gt;&lt;P class="western"&gt;&lt;SPAN&gt;&lt;FONT color="#333333"&gt;&lt;FONT face="HelevticaNeue-light, Helvetica Neue, Helvetica, Arial, sans-serif"&gt;&lt;FONT size="2"&gt;Does anyone know how to calculate a ROC Index 95% CI &lt;/FONT&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;FONT color="#333333"&gt;&lt;FONT face="HelevticaNeue-light, Helvetica Neue, Helvetica, Arial, sans-serif"&gt;&lt;FONT size="2"&gt;(for the &lt;/FONT&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;FONT color="#333333"&gt;&lt;FONT face="HelevticaNeue-light, Helvetica Neue, Helvetica, Arial, sans-serif"&gt;&lt;FONT size="2"&gt;&lt;STRONG&gt;test set&lt;/STRONG&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;FONT color="#333333"&gt;&lt;FONT face="HelevticaNeue-light, Helvetica Neue, Helvetica, Arial, sans-serif"&gt;&lt;FONT size="2"&gt;)&lt;/FONT&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;FONT color="#333333"&gt;&lt;FONT face="HelevticaNeue-light, Helvetica Neue, Helvetica, Arial, sans-serif"&gt;&lt;FONT size="2"&gt; for for a Random Forest model (or a Lasso model) using SAS Enterprise Miner 14.1 &lt;/FONT&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;FONT color="#333333"&gt;&lt;FONT face="HelevticaNeue-light, Helvetica Neue, Helvetica, Arial, sans-serif"&gt;&lt;FONT size="2"&gt;implemented in the workflow above&lt;/FONT&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;FONT color="#333333"&gt;&lt;FONT face="HelevticaNeue-light, Helvetica Neue, Helvetica, Arial, sans-serif"&gt;&lt;FONT size="2"&gt;? &lt;/FONT&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P class="western"&gt;&amp;nbsp;&lt;/P&gt;&lt;P class="western"&gt;&lt;SPAN&gt;&lt;FONT color="#333333"&gt;&lt;FONT face="HelevticaNeue-light, Helvetica Neue, Helvetica, Arial, sans-serif"&gt;&lt;FONT size="2"&gt;Thanks.&lt;/FONT&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P class="western"&gt;&amp;nbsp;&lt;/P&gt;&lt;P class="western"&gt;&lt;SPAN&gt;&lt;FONT color="#333333"&gt;&lt;FONT face="HelevticaNeue-light, Helvetica Neue, Helvetica, Arial, sans-serif"&gt;&lt;FONT size="2"&gt;-Andreas&lt;/FONT&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 16 Apr 2018 08:20:20 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/How-to-calculate-the-ROC-Index-Confidence-Interval-in-Enterprise/m-p/454375#M6895</guid>
      <dc:creator>danielsen</dc:creator>
      <dc:date>2018-04-16T08:20:20Z</dc:date>
    </item>
    <item>
      <title>Re: How to calculate the ROC Index Confidence Interval in Enterprise Miner 14.1</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/How-to-calculate-the-ROC-Index-Confidence-Interval-in-Enterprise/m-p/459350#M6951</link>
      <description>&lt;P&gt;Unfortunately to my knowledge, Enterprise Miner does not compute confidence intervals for the ROC index.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I hadn't heard of confidence intervals on ROC curves before, so I decided to look it up. I found several different results,&amp;nbsp;so unfortunately I'm not sure what method you need for your work.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Ultimately, if you know the equations behind the confidence interval calculation, then you can use a SAS code node to do the computations for the ROC index and the confidence interval after the modeling node.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I hope this helps guide your work. Let me know if there's anything I can help with here.&lt;/P&gt;</description>
      <pubDate>Wed, 02 May 2018 15:01:06 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/How-to-calculate-the-ROC-Index-Confidence-Interval-in-Enterprise/m-p/459350#M6951</guid>
      <dc:creator>RalphAbbey</dc:creator>
      <dc:date>2018-05-02T15:01:06Z</dc:date>
    </item>
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