<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic PROC HPSPLIT Decision Tree - Showing Full Decision Tree in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/PROC-HPSPLIT-Decision-Tree-Showing-Full-Decision-Tree/m-p/493890#M7341</link>
    <description>&lt;P&gt;Hi all,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I am currently working on a project that requires me to do some classification, so I thought of PROC HPSPLIT. Particularly, I am interested to look at the subtree that it produced. However, as I am working on 5 different variables and there is one nominal variable (account) that has about 100 levels, it seems that the subtree outcome was only shown for the first three decisions. Is there a way that the PROC HPSPLIT can return me with a complete decision tree?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc hpsplit data=data.trial1 seed=123;
class ATT_Type account att_war_d;
model ln_eq_sales=ln_eq_price ATT_Type account att_war_d ln_cost ln_btu;
run;&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;Your guidance will be much appreciated. Thank you in advance and have a good day.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Best,&lt;BR /&gt;David&lt;/P&gt;</description>
    <pubDate>Sun, 09 Sep 2018 11:20:23 GMT</pubDate>
    <dc:creator>DavidLie</dc:creator>
    <dc:date>2018-09-09T11:20:23Z</dc:date>
    <item>
      <title>PROC HPSPLIT Decision Tree - Showing Full Decision Tree</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/PROC-HPSPLIT-Decision-Tree-Showing-Full-Decision-Tree/m-p/493890#M7341</link>
      <description>&lt;P&gt;Hi all,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I am currently working on a project that requires me to do some classification, so I thought of PROC HPSPLIT. Particularly, I am interested to look at the subtree that it produced. However, as I am working on 5 different variables and there is one nominal variable (account) that has about 100 levels, it seems that the subtree outcome was only shown for the first three decisions. Is there a way that the PROC HPSPLIT can return me with a complete decision tree?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc hpsplit data=data.trial1 seed=123;
class ATT_Type account att_war_d;
model ln_eq_sales=ln_eq_price ATT_Type account att_war_d ln_cost ln_btu;
run;&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;Your guidance will be much appreciated. Thank you in advance and have a good day.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Best,&lt;BR /&gt;David&lt;/P&gt;</description>
      <pubDate>Sun, 09 Sep 2018 11:20:23 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/PROC-HPSPLIT-Decision-Tree-Showing-Full-Decision-Tree/m-p/493890#M7341</guid>
      <dc:creator>DavidLie</dc:creator>
      <dc:date>2018-09-09T11:20:23Z</dc:date>
    </item>
    <item>
      <title>Re: PROC HPSPLIT Decision Tree - Showing Full Decision Tree</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/PROC-HPSPLIT-Decision-Tree-Showing-Full-Decision-Tree/m-p/494198#M7344</link>
      <description>&lt;P&gt;I think I know what you're asking about, but not 100% sure so if you could include a screenshot, that would be helpful.&lt;/P&gt;
&lt;P&gt;If it's about how sometimes you only see part of the rule in the HP Tree results in the Tree plot, with a "..." at the end, in that case you might have to look at the score code or Node Rules to see the entire rule.&lt;/P&gt;</description>
      <pubDate>Mon, 10 Sep 2018 16:49:24 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/PROC-HPSPLIT-Decision-Tree-Showing-Full-Decision-Tree/m-p/494198#M7344</guid>
      <dc:creator>WendyCzika</dc:creator>
      <dc:date>2018-09-10T16:49:24Z</dc:date>
    </item>
  </channel>
</rss>

