RapidMiner 9.8 Beta is now available
Be one of the first to get your hands on the new features. More details and downloads here:
Logistic Regression - Normalization does not change Attribute Weights
I am new here and in general with statistics and data mining. Apologies if I am asking a really stupid question.
My question is about logistic regression and normalizing data. I have a data set with some columns skewed and have different scales. So I wanted to apply normalization (including centering, scaling and Box Cox transformation for skewness) prior to logistic regression. But instead I wanted to check to what extent normalization changes the results.
I see that normalization prior to logistic regression changes the coefficients however attribute weights are exactly same with and without normalization. Am I missing something here?
Attached you can find my design for the analysis. (Logistic Regression and Normalization added with default settings)