I read that numerical variables should be standardized before a Logistic Regression with L1 Lasso Regularization is trained on them. If you have a categorical variable, it is recommended to encode it with Weight of Evidence. This transforms the former categorical variable to a numeric one. Should you standardize it then too?
Do you need to standardize WoE-encoded variables when using L1 regularized Logistic Regression?
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