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Question 4

Which two of the following statements about regularization (used in Lasso) are true?

1 point

-A large value of can cause your model to overfit the data

-min is always smaller (or at least not bigger) than 1se

-If a feature's coefficient is shrunk to zero with 1, then this feature will stay zero for any greater than 1

-If a feature's coefficient is shrunk to zero with 1, then this feature will stay zero for any less than 1

-Before applying Lasso, we should center and scale the features to make the features look like random samples from a N(0,1) distribution.

-A large value of can cause your model to underfit the data