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    <title>topic Re: K-fold Cross-validation of Neural Networks in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/K-fold-Cross-validation-of-Neural-Networks/m-p/664615#M8339</link>
    <description>&lt;P&gt;Does it matter? Assume that I am both.&lt;/P&gt;</description>
    <pubDate>Wed, 24 Jun 2020 11:44:41 GMT</pubDate>
    <dc:creator>dcfroehlich_aol_com</dc:creator>
    <dc:date>2020-06-24T11:44:41Z</dc:date>
    <item>
      <title>K-fold Cross-validation of Neural Networks</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/K-fold-Cross-validation-of-Neural-Networks/m-p/663679#M8337</link>
      <description>&lt;P&gt;My question concerns the use of K-fold cross validation for artificial neural networks (NN). Specifically, I want to know where the final NN model parameters come from? Were they obtained by a fit to the entire data set? Or, were they from a fit to one of the K-1 fold data sets used for training. The SAS documentation is not clear on this issue. Does anyone have an answer?&lt;/P&gt;</description>
      <pubDate>Sat, 20 Jun 2020 05:56:42 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/K-fold-Cross-validation-of-Neural-Networks/m-p/663679#M8337</guid>
      <dc:creator>dcfroehlich_aol_com</dc:creator>
      <dc:date>2020-06-20T05:56:42Z</dc:date>
    </item>
    <item>
      <title>Re: K-fold Cross-validation of Neural Networks</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/K-fold-Cross-validation-of-Neural-Networks/m-p/664358#M8338</link>
      <description>&lt;P&gt;Hi there - are you on SAS 9 (Enterprise Miner) or SAS Viya?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 23 Jun 2020 15:32:20 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/K-fold-Cross-validation-of-Neural-Networks/m-p/664358#M8338</guid>
      <dc:creator>WendyCzika</dc:creator>
      <dc:date>2020-06-23T15:32:20Z</dc:date>
    </item>
    <item>
      <title>Re: K-fold Cross-validation of Neural Networks</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/K-fold-Cross-validation-of-Neural-Networks/m-p/664615#M8339</link>
      <description>&lt;P&gt;Does it matter? Assume that I am both.&lt;/P&gt;</description>
      <pubDate>Wed, 24 Jun 2020 11:44:41 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/K-fold-Cross-validation-of-Neural-Networks/m-p/664615#M8339</guid>
      <dc:creator>dcfroehlich_aol_com</dc:creator>
      <dc:date>2020-06-24T11:44:41Z</dc:date>
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