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Published 20 hours ago • verified publisher icon dimtics

ML workflow

Open rajeshvaraham opened this issue 5 years ago • 0 comments

I see that in ML workflow, the oversampling of the data frame is performed after splitting the original data frame (into X and y), followed scaling and splitting for model test /train. I think, we should first perform oversampling (via ADASYN) in the original data frame and then perform the other ML workflow steps. Please review and clarify

rajeshvaraham avatar Apr 18 '20 15:04 rajeshvaraham