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    <title>topic Re: How calculate RMSE for ARIMA model in SAS Enterprise Guide</title>
    <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/How-calculate-RMSE-for-ARIMA-model/m-p/344378#M22799</link>
    <description>&lt;P&gt;You can easily calculate the RMSE errors and also some other errors like Mean Percentage error (MPE) by using the accuracy function.&lt;/P&gt;&lt;P&gt;ex:&lt;/P&gt;&lt;P&gt;&amp;nbsp; If the name of your model is name&lt;/P&gt;&lt;P&gt;&amp;nbsp;then RMSE is calculated as : &amp;nbsp; &amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;accuracy(name)&lt;/P&gt;&lt;P&gt;which will give:&lt;/P&gt;&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;ME &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; RMSE &amp;nbsp; &amp;nbsp; &amp;nbsp; MAE &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; MPE &amp;nbsp; &amp;nbsp; &amp;nbsp; MAPE &amp;nbsp; &amp;nbsp; &amp;nbsp;MASE &amp;nbsp; &amp;nbsp; &amp;nbsp; ACF1&lt;BR /&gt;Training set 0.05576569 8.313739 6.227064 395.7271 576.6584 0.5128541 -0.09583192&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Sun, 26 Mar 2017 04:48:36 GMT</pubDate>
    <dc:creator>Kartik97</dc:creator>
    <dc:date>2017-03-26T04:48:36Z</dc:date>
    <item>
      <title>How calculate RMSE for ARIMA model</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/How-calculate-RMSE-for-ARIMA-model/m-p/314483#M21228</link>
      <description>&lt;P&gt;Hi,&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have run a couple of different ARIMA model. i want to rank the models based on RMSE or MAE.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;However, i do not know how to get RMSE and MAE. the resluts show AIC and SBC.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;regards&lt;/P&gt;&lt;P&gt;Thanks&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sat, 26 Nov 2016 19:44:46 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/How-calculate-RMSE-for-ARIMA-model/m-p/314483#M21228</guid>
      <dc:creator>huatongfeng1</dc:creator>
      <dc:date>2016-11-26T19:44:46Z</dc:date>
    </item>
    <item>
      <title>Re: How calculate RMSE for ARIMA model</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/How-calculate-RMSE-for-ARIMA-model/m-p/344378#M22799</link>
      <description>&lt;P&gt;You can easily calculate the RMSE errors and also some other errors like Mean Percentage error (MPE) by using the accuracy function.&lt;/P&gt;&lt;P&gt;ex:&lt;/P&gt;&lt;P&gt;&amp;nbsp; If the name of your model is name&lt;/P&gt;&lt;P&gt;&amp;nbsp;then RMSE is calculated as : &amp;nbsp; &amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;accuracy(name)&lt;/P&gt;&lt;P&gt;which will give:&lt;/P&gt;&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;ME &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; RMSE &amp;nbsp; &amp;nbsp; &amp;nbsp; MAE &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; MPE &amp;nbsp; &amp;nbsp; &amp;nbsp; MAPE &amp;nbsp; &amp;nbsp; &amp;nbsp;MASE &amp;nbsp; &amp;nbsp; &amp;nbsp; ACF1&lt;BR /&gt;Training set 0.05576569 8.313739 6.227064 395.7271 576.6584 0.5128541 -0.09583192&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sun, 26 Mar 2017 04:48:36 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/How-calculate-RMSE-for-ARIMA-model/m-p/344378#M22799</guid>
      <dc:creator>Kartik97</dc:creator>
      <dc:date>2017-03-26T04:48:36Z</dc:date>
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