What does the tiny writing mean, at the bottom of Turbo Prep, Handle Numbers, Perform Normalization?
From Turbo Prep
Information: Normalization is a common technique which ensures that all numeric columns of your data set are roughly one the same scale. Each column is rescaled so that the average of the resulting column is 0 and the standard deviation for all columns becomes 1. By doing this, different scales won't impact machine learning models which is in particular important for distance-based methods. However, the resulting models are somewhat harder to interpret since the scales have changes to something which does not occur in reality. If you use Auto Model, it is usually better to let Auto Model do the normalizations only when they are necessary.
What step am I missing where that happens in Auto Model?