Hello,
Using found on the HUB
I apply the same process to wine quality.
04_Data_Preprocessing_for_ML_Models1.knwf (2.4 MB)
winequality-red.csv (98.6 KB)
My question is :
How denormalize quality and prediction quality in this workflow ?
Thanks
Duplicate of Denormalizer