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    <title>topic Re: Standardisation of target variable in HP Neural Node in SAS Academy for Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Academy-for-Data-Science/Standardisation-of-target-variable-in-HP-Neural-Node/m-p/654611#M894</link>
    <description>I cannot generalize this. Always dependent on your data and the NN model structure and options.&lt;BR /&gt;Because there is also None available as an option try with None as the baseline. Then evaluate other methods and pick the one suitable for your data.</description>
    <pubDate>Mon, 08 Jun 2020 17:05:42 GMT</pubDate>
    <dc:creator>gcjfernandez</dc:creator>
    <dc:date>2020-06-08T17:05:42Z</dc:date>
    <item>
      <title>Standardisation of target variable in HP Neural Node</title>
      <link>https://communities.sas.com/t5/SAS-Academy-for-Data-Science/Standardisation-of-target-variable-in-HP-Neural-Node/m-p/654239#M881</link>
      <description>&lt;P&gt;Re: Neural Network Modelling&lt;/P&gt;
&lt;P&gt;I have noticed that the HP Neural Node provides property "Target Standardization" (page 6.10 of course text): in what instances should a target variable be standardised?&lt;/P&gt;</description>
      <pubDate>Mon, 08 Jun 2020 07:33:07 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Academy-for-Data-Science/Standardisation-of-target-variable-in-HP-Neural-Node/m-p/654239#M881</guid>
      <dc:creator>pvareschi</dc:creator>
      <dc:date>2020-06-08T07:33:07Z</dc:date>
    </item>
    <item>
      <title>Re: Standardisation of target variable in HP Neural Node</title>
      <link>https://communities.sas.com/t5/SAS-Academy-for-Data-Science/Standardisation-of-target-variable-in-HP-Neural-Node/m-p/654602#M890</link>
      <description>This is relevant when the target variable is interval.</description>
      <pubDate>Mon, 08 Jun 2020 16:52:08 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Academy-for-Data-Science/Standardisation-of-target-variable-in-HP-Neural-Node/m-p/654602#M890</guid>
      <dc:creator>gcjfernandez</dc:creator>
      <dc:date>2020-06-08T16:52:08Z</dc:date>
    </item>
    <item>
      <title>Re: Standardisation of target variable in HP Neural Node</title>
      <link>https://communities.sas.com/t5/SAS-Academy-for-Data-Science/Standardisation-of-target-variable-in-HP-Neural-Node/m-p/654604#M892</link>
      <description>&lt;P&gt;Of course; would a standadisation of an interval target help improve prediction estimates, for instance, if the target had a highly skewed distribution?&lt;/P&gt;</description>
      <pubDate>Mon, 08 Jun 2020 16:55:41 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Academy-for-Data-Science/Standardisation-of-target-variable-in-HP-Neural-Node/m-p/654604#M892</guid>
      <dc:creator>pvareschi</dc:creator>
      <dc:date>2020-06-08T16:55:41Z</dc:date>
    </item>
    <item>
      <title>Re: Standardisation of target variable in HP Neural Node</title>
      <link>https://communities.sas.com/t5/SAS-Academy-for-Data-Science/Standardisation-of-target-variable-in-HP-Neural-Node/m-p/654611#M894</link>
      <description>I cannot generalize this. Always dependent on your data and the NN model structure and options.&lt;BR /&gt;Because there is also None available as an option try with None as the baseline. Then evaluate other methods and pick the one suitable for your data.</description>
      <pubDate>Mon, 08 Jun 2020 17:05:42 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Academy-for-Data-Science/Standardisation-of-target-variable-in-HP-Neural-Node/m-p/654611#M894</guid>
      <dc:creator>gcjfernandez</dc:creator>
      <dc:date>2020-06-08T17:05:42Z</dc:date>
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