@vns1311 wrote:
Is it preferred to do outlier treatment(say using capping and folding) first and then do missing value imputation rather than the other way around?
I feel doing outlier treatment first makes the distribution more normal post which the measures of central tendency can be used for imputation.
Also how to decide what the cap and floor values are to be in case of outlier treatment. Is there a standard norm for it?
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