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    <title>topic Assistance with SAS code for SMOTE and adaptive synthetic sampling algorithms in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Assistance-with-SAS-code-for-SMOTE-and-adaptive-synthetic/m-p/257442#M13618</link>
    <description>&lt;P&gt;Dear all,&lt;/P&gt;&lt;P&gt;I am developing a predictive model for a data-set that has&amp;nbsp;very imbalanced dependent variable. The ratio between the two categories of the dependent variable&amp;nbsp;is 47500:1. I am exploring SMOTE sampling and adaptive synthetic sampling techniques before fitting these models to correct for the bias created by the imbalance. I mostly use SAS eguide but also comfortable with SAS enterprise miner. Has anyone used these sampling algorithms in SAS? I would appreciate assistance regarding coding these sampling techniques, I would also be happy if anyone would recommend any classification technique/s that would fit this problem. thanks in Advance.&amp;nbsp;&lt;/P&gt;&lt;P&gt;regards&lt;/P&gt;</description>
    <pubDate>Thu, 17 Mar 2016 20:09:11 GMT</pubDate>
    <dc:creator>mnasila</dc:creator>
    <dc:date>2016-03-17T20:09:11Z</dc:date>
    <item>
      <title>Assistance with SAS code for SMOTE and adaptive synthetic sampling algorithms</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Assistance-with-SAS-code-for-SMOTE-and-adaptive-synthetic/m-p/257442#M13618</link>
      <description>&lt;P&gt;Dear all,&lt;/P&gt;&lt;P&gt;I am developing a predictive model for a data-set that has&amp;nbsp;very imbalanced dependent variable. The ratio between the two categories of the dependent variable&amp;nbsp;is 47500:1. I am exploring SMOTE sampling and adaptive synthetic sampling techniques before fitting these models to correct for the bias created by the imbalance. I mostly use SAS eguide but also comfortable with SAS enterprise miner. Has anyone used these sampling algorithms in SAS? I would appreciate assistance regarding coding these sampling techniques, I would also be happy if anyone would recommend any classification technique/s that would fit this problem. thanks in Advance.&amp;nbsp;&lt;/P&gt;&lt;P&gt;regards&lt;/P&gt;</description>
      <pubDate>Thu, 17 Mar 2016 20:09:11 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Assistance-with-SAS-code-for-SMOTE-and-adaptive-synthetic/m-p/257442#M13618</guid>
      <dc:creator>mnasila</dc:creator>
      <dc:date>2016-03-17T20:09:11Z</dc:date>
    </item>
    <item>
      <title>Re: Assistance with SAS code for SMOTE and adaptive synthetic sampling algorithms</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Assistance-with-SAS-code-for-SMOTE-and-adaptive-synthetic/m-p/257469#M13619</link>
      <description>&lt;P&gt;SMOTE described here&lt;/P&gt;
&lt;P&gt;&lt;A href="http://support.sas.com/resources/papers/proceedings15/3282-2015.pdf" target="_blank"&gt;http://support.sas.com/resources/papers/proceedings15/3282-2015.pdf&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;and ZIP containing SAS code&lt;/P&gt;
&lt;P&gt;&lt;A href="http://support.sas.com/resources/papers/proceedings15/3282-2015.zip" target="_blank"&gt;http://support.sas.com/resources/papers/proceedings15/3282-2015.zip&lt;/A&gt; &amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Two recent SAS papers from customers deal with / apply SMOTE.&lt;/P&gt;
&lt;P&gt;SMOTE = Synthetic Minority Over-sampling TEchnique&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Paper 3483-2015 &lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Data sampling improvement by developing SMOTE technique in SAS &lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;Lina Guzman, DIRECTV&lt;/P&gt;
&lt;P&gt;&lt;A href="http://support.sas.com/resources/papers/proceedings15/3483-2015.pdf" target="_blank"&gt;http://support.sas.com/resources/papers/proceedings15/3483-2015.pdf&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Paper 3282-2015 &lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;A Case Study: Improve Classification of Rare Events with SAS® Enterprise Miner™ &lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;Ruizhe Wang, GuideWell Connect; Novik Lee, GuideWell Connect; Yun Wei, GuideWell Connect&lt;/P&gt;
&lt;P&gt;A rather novel technique called SMOTE (Synthetic Minority Over-sampling TEchnique), which has achieved the best result in our comparison, is discussed.&lt;/P&gt;
&lt;P&gt;&lt;A href="http://support.sas.com/resources/papers/proceedings15/3282-2015.pdf" target="_blank"&gt;http://support.sas.com/resources/papers/proceedings15/3282-2015.pdf&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Koen&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 17 Mar 2016 22:03:52 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Assistance-with-SAS-code-for-SMOTE-and-adaptive-synthetic/m-p/257469#M13619</guid>
      <dc:creator>sbxkoenk</dc:creator>
      <dc:date>2016-03-17T22:03:52Z</dc:date>
    </item>
    <item>
      <title>Re: Assistance with SAS code for SMOTE and adaptive synthetic sampling algorithms</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Assistance-with-SAS-code-for-SMOTE-and-adaptive-synthetic/m-p/258356#M13672</link>
      <description>&lt;P&gt;thanks Koen for the papers, will go through them.&lt;/P&gt;</description>
      <pubDate>Tue, 22 Mar 2016 20:20:20 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Assistance-with-SAS-code-for-SMOTE-and-adaptive-synthetic/m-p/258356#M13672</guid>
      <dc:creator>mnasila</dc:creator>
      <dc:date>2016-03-22T20:20:20Z</dc:date>
    </item>
    <item>
      <title>Re: Assistance with SAS code for SMOTE and adaptive synthetic sampling algorithms</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Assistance-with-SAS-code-for-SMOTE-and-adaptive-synthetic/m-p/258482#M13676</link>
      <description>Hi Koen,&lt;BR /&gt;&lt;BR /&gt;I am testing the SAS code on my dataset. when i get to the data _NULL_ step (Generating random cases with look up table) all the new cases generated from this step have missing observations. is this unusual? how do i go about fixing it? thanks.</description>
      <pubDate>Wed, 23 Mar 2016 12:32:39 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Assistance-with-SAS-code-for-SMOTE-and-adaptive-synthetic/m-p/258482#M13676</guid>
      <dc:creator>mnasila</dc:creator>
      <dc:date>2016-03-23T12:32:39Z</dc:date>
    </item>
    <item>
      <title>Re: Assistance with SAS code for SMOTE and adaptive synthetic sampling algorithms</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Assistance-with-SAS-code-for-SMOTE-and-adaptive-synthetic/m-p/258867#M13693</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I haven't tested the code accompanying the paper.&lt;/P&gt;
&lt;P&gt;It's best to turn to the authors.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;See the last page of the paper. It says:&lt;/P&gt;
&lt;P&gt;CONTACT INFORMATION&lt;/P&gt;
&lt;P&gt;Your comments and questions are valued and encouraged. Contact the author at:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;FONT face="Arial,Arial" size="2"&gt;Cheers,&lt;/FONT&gt;&lt;/P&gt;
&lt;P&gt;&lt;FONT face="Arial,Arial" size="2"&gt;Koen&lt;/FONT&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 24 Mar 2016 16:33:48 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Assistance-with-SAS-code-for-SMOTE-and-adaptive-synthetic/m-p/258867#M13693</guid>
      <dc:creator>sbxkoenk</dc:creator>
      <dc:date>2016-03-24T16:33:48Z</dc:date>
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