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    <title>topic Confusion matrix in Enterprise Miner in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/Confusion-matrix-in-Enterprise-Miner/m-p/148596#M1485</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;&lt;SPAN style="font-size: 12pt;"&gt;&lt;STRONG&gt;Dear Friends,&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 12pt;"&gt;&lt;STRONG&gt;I want to know how to get the confusion matrix in SAS Enterprise Miner 6.2, &lt;/STRONG&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 12pt;"&gt;&lt;STRONG&gt;Thanks &lt;/STRONG&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Wed, 17 Sep 2014 11:09:45 GMT</pubDate>
    <dc:creator>husseinmazaar</dc:creator>
    <dc:date>2014-09-17T11:09:45Z</dc:date>
    <item>
      <title>Confusion matrix in Enterprise Miner</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Confusion-matrix-in-Enterprise-Miner/m-p/148596#M1485</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;&lt;SPAN style="font-size: 12pt;"&gt;&lt;STRONG&gt;Dear Friends,&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 12pt;"&gt;&lt;STRONG&gt;I want to know how to get the confusion matrix in SAS Enterprise Miner 6.2, &lt;/STRONG&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 12pt;"&gt;&lt;STRONG&gt;Thanks &lt;/STRONG&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 17 Sep 2014 11:09:45 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Confusion-matrix-in-Enterprise-Miner/m-p/148596#M1485</guid>
      <dc:creator>husseinmazaar</dc:creator>
      <dc:date>2014-09-17T11:09:45Z</dc:date>
    </item>
    <item>
      <title>Re: Confusion matrix in Enterprise Miner</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Confusion-matrix-in-Enterprise-Miner/m-p/148597#M1486</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;In a bunch of places &lt;img id="smileyhappy" class="emoticon emoticon-smileyhappy" src="https://communities.sas.com/i/smilies/16x16_smiley-happy.png" alt="Smiley Happy" title="Smiley Happy" /&gt;&lt;/P&gt;&lt;P&gt;Here 3 that I can think top of my mind.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;1. Results Output&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;On the results of a model node, go to the output and punch the keys Ctrl+F to find "Event Classification Table".&lt;/P&gt;&lt;P&gt;You will see one like the below:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P style="padding-left: 90px;"&gt;Event Classification Table&lt;/P&gt;&lt;P style="padding-left: 90px;"&gt;&lt;/P&gt;&lt;P style="padding-left: 90px;"&gt;Data Role=TRAIN Target=BAD&lt;/P&gt;&lt;P style="padding-left: 90px;"&gt;&lt;/P&gt;&lt;P style="padding-left: 90px;"&gt;&amp;nbsp; False&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; True&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; False&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; True&lt;/P&gt;&lt;P style="padding-left: 90px;"&gt;Negative&amp;nbsp;&amp;nbsp;&amp;nbsp; Negative&amp;nbsp;&amp;nbsp;&amp;nbsp; Positive&amp;nbsp;&amp;nbsp;&amp;nbsp; Positive&lt;/P&gt;&lt;P style="padding-left: 90px;"&gt;&lt;/P&gt;&lt;P style="padding-left: 90px;"&gt;&amp;nbsp;&amp;nbsp; 364&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 4518&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 253&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 825&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;2. Classification chart&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;If you are a visual person, see this in a chart! After you run a model node, go to results, then browse to View-&amp;gt;Assessment-&amp;gt;Classification chart. This gives you a stacked bar chart of correct vs incorrect predicted target. To see it in a table format, click on the table icon (2nd icon right to left). You will have all the info you need (target, outcome, target percentage, total percentage, etc).&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;3. Model comparison node&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;When your diagram has a categorical target variable, the model comparison will use misclassification as the default selection statistic. You will find the Event Classificaiton Table of all models connected to that model comparison node.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Was this a good answer?&lt;/P&gt;&lt;P&gt;Good luck!&lt;/P&gt;&lt;P&gt;-Miguel&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 17 Sep 2014 14:23:52 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Confusion-matrix-in-Enterprise-Miner/m-p/148597#M1486</guid>
      <dc:creator>M_Maldonado</dc:creator>
      <dc:date>2014-09-17T14:23:52Z</dc:date>
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