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    <title>topic Re: SAS Miner - missing value dot issue in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/SAS-Miner-missing-value-dot-issue/m-p/847140#M10380</link>
    <description>&lt;P&gt;The missing means there are zero False Negative observations. You are using a small dataset. Usually when large datasets are processed in Enterprise miner you have False Negatives and False Positives so the missing indicator has a number instead.&lt;/P&gt;
&lt;P&gt;If you click on the ROC chart in the Model Comparison results and then click the table icon at the very top of the results window, you will see a table showing all zero values for False Negatives for the validation dataset.&lt;/P&gt;
&lt;P&gt;BTW don't forget to set the model selection table property to "Validate" in your model comparison node. You do not want to select a model based on the training partition results as shown in your screen capture.&lt;/P&gt;</description>
    <pubDate>Wed, 30 Nov 2022 20:24:48 GMT</pubDate>
    <dc:creator>PeterChristie</dc:creator>
    <dc:date>2022-11-30T20:24:48Z</dc:date>
    <item>
      <title>SAS Miner - missing value dot issue</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/SAS-Miner-missing-value-dot-issue/m-p/844932#M10376</link>
      <description>&lt;P&gt;Hello, I am experiencing this "." issue ever since I've changed my training validation and testing to 2,1,0 in thedecision tree node, how do I fix this?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 17 Nov 2022 18:10:07 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/SAS-Miner-missing-value-dot-issue/m-p/844932#M10376</guid>
      <dc:creator>farahbalkis</dc:creator>
      <dc:date>2022-11-17T18:10:07Z</dc:date>
    </item>
    <item>
      <title>Re: SAS Miner - missing value dot issue</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/SAS-Miner-missing-value-dot-issue/m-p/847140#M10380</link>
      <description>&lt;P&gt;The missing means there are zero False Negative observations. You are using a small dataset. Usually when large datasets are processed in Enterprise miner you have False Negatives and False Positives so the missing indicator has a number instead.&lt;/P&gt;
&lt;P&gt;If you click on the ROC chart in the Model Comparison results and then click the table icon at the very top of the results window, you will see a table showing all zero values for False Negatives for the validation dataset.&lt;/P&gt;
&lt;P&gt;BTW don't forget to set the model selection table property to "Validate" in your model comparison node. You do not want to select a model based on the training partition results as shown in your screen capture.&lt;/P&gt;</description>
      <pubDate>Wed, 30 Nov 2022 20:24:48 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/SAS-Miner-missing-value-dot-issue/m-p/847140#M10380</guid>
      <dc:creator>PeterChristie</dc:creator>
      <dc:date>2022-11-30T20:24:48Z</dc:date>
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