Should the dataset be split first and then normalized or vice-versa? If I have fresh data that I want to predict an outcome for, should I also normalize it before I fit the Predict Model?
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Should the dataset be split first and then normalized or vice-versa? If I have fresh data that I want to predict an outcome for, should I also normalize it before I fit the Predict Model?