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    <title>topic Re: How to output a propensity score using proc hpforest? in SAS Procedures</title>
    <link>https://communities.sas.com/t5/SAS-Procedures/How-to-output-a-propensity-score-using-proc-hpforest/m-p/552126#M74589</link>
    <description>&lt;PRE&gt;
Assume your train table was

y  x1  x2
1  2    5
0  12  8
................

Your test table was
    x1    x2
    7       15
     2      23
  ..........


And combine them together
data have;
 set train test;
run;

and use HAVE table in proc hpforest :

proc hpforest data=have 
.........



In output table you would see the Y from test table have been imputed.



&lt;/PRE&gt;</description>
    <pubDate>Thu, 18 Apr 2019 14:15:23 GMT</pubDate>
    <dc:creator>Ksharp</dc:creator>
    <dc:date>2019-04-18T14:15:23Z</dc:date>
    <item>
      <title>How to output a propensity score using proc hpforest?</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/How-to-output-a-propensity-score-using-proc-hpforest/m-p/551970#M74581</link>
      <description>&lt;P&gt;I am running a random forest procedure using proc hpforest, but would like to output the out of bag predicted probability (ie propensity score) that is generated .. any help is appreciated.&lt;/P&gt;</description>
      <pubDate>Thu, 18 Apr 2019 02:41:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/How-to-output-a-propensity-score-using-proc-hpforest/m-p/551970#M74581</guid>
      <dc:creator>lcritch</dc:creator>
      <dc:date>2019-04-18T02:41:44Z</dc:date>
    </item>
    <item>
      <title>Re: How to output a propensity score using proc hpforest?</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/How-to-output-a-propensity-score-using-proc-hpforest/m-p/552126#M74589</link>
      <description>&lt;PRE&gt;
Assume your train table was

y  x1  x2
1  2    5
0  12  8
................

Your test table was
    x1    x2
    7       15
     2      23
  ..........


And combine them together
data have;
 set train test;
run;

and use HAVE table in proc hpforest :

proc hpforest data=have 
.........



In output table you would see the Y from test table have been imputed.



&lt;/PRE&gt;</description>
      <pubDate>Thu, 18 Apr 2019 14:15:23 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/How-to-output-a-propensity-score-using-proc-hpforest/m-p/552126#M74589</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2019-04-18T14:15:23Z</dc:date>
    </item>
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