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Normalization without Group Model
I used normalization in my regression analysis and realized the following:
1. If I apply Group Models parameter, the result is almost similar to when I build the model without normalization.
2. If I remove the Group Models parameter and use only the Normalization parameter, I get better predictions (more predicted values are closed to the actual values). But squared correlation becomes zero and RMSE increases.
I used Decision Tree Regression.
Please does it mean that Normalization should always be tagged with Group Models?
Was the initial results merely a memorization?