I know lasso is one of the best method to select important variables and make variables sparse.But WOE encoding do the same thing,making variable smooth. (1)I'd like to know what is the difference between lasso and woe in result of logistic model? (2)if I have used woe encoding,when I train the logistic model,can I use lasso?

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