Currently, I am doing one project on SAS Enterprise Miner, just needed one help while doing modelling I faced an issue of skewness with my continuous variables for which I firstly transformed into log but it didn't work but when changing it into square I got my answer and skewness issue was solved further I did modeling and the result was very extreme, my target variable was estimation of sales basically continuous, and modeling approach was linear regression, but I got validation average square error as 116 so I am confused how to interpret such huge error secondly when the same transformation is done through log the error rate is 0.25 but the continuous variable is not skewed.
I faced an issue of skewness with my continuous variables ...
Are you talking about skewness of the target (or response) variable? Or skewness of the predictor variables?
... for which I firstly transformed into log but it didn't work
What didn't work? What did you see that makes you think it didn't work? What variable(s) did you transform?
but I got validation average square error as 116 so I am confused how to interpret such huge error
Did you transform the target variable? You really haven't said if you did or did not.
What makes you think that a 116 is "huge"? What are typical values of sales? Maybe the interpretation is that the model didn't fit well; or maybe the interpretation is that you have very large values of sales and a 116 is reasonable. We need a lot more information and context here.
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