Same Missing Value Imputation in both training and validation datasets

In modeling process, you need to impute missing values in the validation data set the same way you did in training sample. In SAS, there is an easier way to accomplish this task using PROC STDIZE.


SAS Code 
proc stdize data=training out=abc method=median reponly outstat=info;
var v1 v2 v3;
run; 
proc stdize data=validation out=valid_updated reponly method=in(info);
var v1 v2 v3;
run;

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Deepanshu founded ListenData with a simple objective - Make analytics easy to understand and follow. He has close to 7 years of experience in data science and predictive modeling. During his tenure, he has worked with global clients in various domains like retail and commercial banking, Telecom, HR and Automotive.


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