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I know lasso is one of the best method to select important variables and make variables sparse. But WOE encoding does the same thing, making variable smooth.

  1. I would 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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