Keeping train and test split criteria in mind, is it good to perform scaling before the split or after the split? 

4 years ago
Machine Learning

Scaling should be done post-train and test split ideally. If the data is closely packed, then scaling post or pre-split should not make much difference.

0
Sanisha Maharjan
Sanisha Maharjan
Jan 12, 2022
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