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    <title>topic Re: Subset Decision Trees Within Enterprise Miner in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/Subset-Decision-Trees-Within-Enterprise-Miner/m-p/208282#M2832</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I think TwoStage will do exactly what you want.&amp;nbsp; Just set both dependent variables as Targets in your Input Data node, and in the TwoStage node, change the Filter property to Non-Events, and Value Model to Tree.&amp;nbsp; You just need to be sure you are using the correct Order (Ascending) for the nominal target so that 0's are treated as the event, then the predicted non-0s will be excluded from the second tree where you are modeling the continuous target.&amp;nbsp; &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Thu, 27 Aug 2015 13:19:15 GMT</pubDate>
    <dc:creator>WendyCzika</dc:creator>
    <dc:date>2015-08-27T13:19:15Z</dc:date>
    <item>
      <title>Subset Decision Trees Within Enterprise Miner</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Subset-Decision-Trees-Within-Enterprise-Miner/m-p/208281#M2831</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I think I need the Code Node to accomplish this, but I am not sure.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I am running a Decision Tree on a set of data composed of about 10,000 records. The dependent variable is nominal/dichotomous, and I expect about 90% of the data will be predicted to be a 0 while the other 10% will be predicted to be a 1.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I then want to put another Decision Tree into the project. That one will use a different continuous dependent variable and it will be only for cases that are predicted to be 0 for the first Decision Tree- again, around 9,000 cases.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;It sounds kind of basic, but kind of not. Either way, can anyone suggest the best way to do things in Enterprise Miner for this? Thank you. Much appreciated.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;FOLLOW-UP:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Actually the TwoStage Node seems like it will suit my needs well. However, I am modeling two differeent dependent/response variables. One for categorical, and one continuous. So perhaps that is not usable.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 26 Aug 2015 20:39:09 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Subset-Decision-Trees-Within-Enterprise-Miner/m-p/208281#M2831</guid>
      <dc:creator>Zachary</dc:creator>
      <dc:date>2015-08-26T20:39:09Z</dc:date>
    </item>
    <item>
      <title>Re: Subset Decision Trees Within Enterprise Miner</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Subset-Decision-Trees-Within-Enterprise-Miner/m-p/208282#M2832</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I think TwoStage will do exactly what you want.&amp;nbsp; Just set both dependent variables as Targets in your Input Data node, and in the TwoStage node, change the Filter property to Non-Events, and Value Model to Tree.&amp;nbsp; You just need to be sure you are using the correct Order (Ascending) for the nominal target so that 0's are treated as the event, then the predicted non-0s will be excluded from the second tree where you are modeling the continuous target.&amp;nbsp; &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 27 Aug 2015 13:19:15 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Subset-Decision-Trees-Within-Enterprise-Miner/m-p/208282#M2832</guid>
      <dc:creator>WendyCzika</dc:creator>
      <dc:date>2015-08-27T13:19:15Z</dc:date>
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