Which of the following statements is in NOT a true statement?

1. In RIDGE regression, some coefficients shrink towards zero to reduce estimation variance.

2. In LASSO, some coefficients are forced to zero. 3.

3.Regularization methods such as LASSO and Elastic net can offer better predictions than stepwise regression methods such as forward or backward selection.

4. If we have a dataset with two predictors and if both predictors are highly correlated, RIDGE will usually pick one of them by giving a zero coefficient to one of the features while LASSO will include both but shrink both coefficients to a similar non-zero constant.