What does the tiny writing mean, at the bottom of Turbo Prep, Handle Numbers, Perform Normalization?
From Turbo Prep
Handle Numbers
Perform Normalization
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?
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Mia_Smith
Member Posts: 6 
Contributor I
In an Auto Model system, normalization typically occurs within the preprocessing or model training phase. It's an automatic procedure that scales numerical features to have a mean of 0 and a standard deviation of 1. Depending on the specific tool you're using, this process might be transparent to the user and handled internally by the system. For more detailed information on how normalization is handled within your specific Auto Model tool, it would be best to refer to the official documentation or support materials, which can often be found on the tool's official website. Here's a hypothetical link to guide you: https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&-splunk courseved=2ahUKEwjEk5Op5L2AAxX9TWwGHcbXAD0QFnoECCEQAQ&url=https%3A%2F %2Fen.wikipedia.org%2Fwiki%2FDatabase_normalization&usg=AOvVaw1ywRR_XjfkYDmVn7u8zyU4&opi=89978449
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