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    <title>topic Re: Oversampling in Enterprise Miner, Please Help...Thanks in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/Oversampling-in-Enterprise-Miner-Please-Help-Thanks/m-p/128474#M1086</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;moved to the Data Mining community where I hope you will get many great responses&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Wed, 30 Oct 2013 12:37:53 GMT</pubDate>
    <dc:creator>reneeharper</dc:creator>
    <dc:date>2013-10-30T12:37:53Z</dc:date>
    <item>
      <title>Oversampling in Enterprise Miner, Please Help...Thanks</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Oversampling-in-Enterprise-Miner-Please-Help-Thanks/m-p/128473#M1085</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;&lt;BR /&gt;&lt;SPAN style="color: #0000ff;"&gt;Hi All,&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="color: #0000ff;"&gt;I want to build a response model but with a very low response rate, around 0.2%. I haven't built any model with such low response in the past, so I don't know what's the best way to proceed in this case with SAS Enterprise Miner. I understand the idea of oversampling but as I haven't applied it in the past, your help would be much appreciated. Once you have built the model using oversampling, how do you undo the oversampling?&amp;nbsp; And at the time of scoring new data, which probabilities do we use? The one build on oversampled data or the original??&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="color: #0000ff;"&gt;Is the Oversampling technique recommended? When is it compulsory to use it?&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="color: #0000ff;"&gt;Many Thanks&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="color: #0000ff;"&gt;Alice&lt;/SPAN&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 30 Oct 2013 12:10:50 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Oversampling-in-Enterprise-Miner-Please-Help-Thanks/m-p/128473#M1085</guid>
      <dc:creator>Kanyange</dc:creator>
      <dc:date>2013-10-30T12:10:50Z</dc:date>
    </item>
    <item>
      <title>Re: Oversampling in Enterprise Miner, Please Help...Thanks</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Oversampling-in-Enterprise-Miner-Please-Help-Thanks/m-p/128474#M1086</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;moved to the Data Mining community where I hope you will get many great responses&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 30 Oct 2013 12:37:53 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Oversampling-in-Enterprise-Miner-Please-Help-Thanks/m-p/128474#M1086</guid>
      <dc:creator>reneeharper</dc:creator>
      <dc:date>2013-10-30T12:37:53Z</dc:date>
    </item>
    <item>
      <title>Re: Oversampling in Enterprise Miner, Please Help...Thanks</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Oversampling-in-Enterprise-Miner-Please-Help-Thanks/m-p/128475#M1087</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I came across a decent blog post about oversampling.&amp;nbsp; Perhaps it contains some answers you seek.&amp;nbsp; &lt;A href="http://www.data-mining-blog.com/tips-and-tutorials/overrepresentation-oversampling/"&gt;http://www.data-mining-blog.com/tips-and-tutorials/overrepresentation-oversampling/&lt;/A&gt;&lt;/P&gt;&lt;P&gt;Also check out any links within the post.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 30 Oct 2013 15:12:38 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Oversampling-in-Enterprise-Miner-Please-Help-Thanks/m-p/128475#M1087</guid>
      <dc:creator>jaredp</dc:creator>
      <dc:date>2013-10-30T15:12:38Z</dc:date>
    </item>
    <item>
      <title>Re: Oversampling in Enterprise Miner, Please Help...Thanks</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Oversampling-in-Enterprise-Miner-Please-Help-Thanks/m-p/128476#M1088</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi, Kanyange,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Here is a link that has video that addresses oversampling with EM&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="http://support.sas.com/kb/34/270.html" title="http://support.sas.com/kb/34/270.html"&gt;34270 - Oversampling techniques in SAS® Enterprise Miner(tm)&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Another SAS note provides step-by-step instruction&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="http://support.sas.com/kb/24/205.html" title="http://support.sas.com/kb/24/205.html"&gt;24205 - Rare event oversampling for model fitting in SAS® Enterprise Miner(tm)&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Enjoy. Post back if you have questions.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Best&lt;/P&gt;&lt;P&gt;Jason Xin&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 30 Oct 2013 16:48:57 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Oversampling-in-Enterprise-Miner-Please-Help-Thanks/m-p/128476#M1088</guid>
      <dc:creator>JasonXin</dc:creator>
      <dc:date>2013-10-30T16:48:57Z</dc:date>
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