The benefits of all-subsets regression over stepwise regression are discussed in detail below.

You will find a comprehensive analysis of the benefits of using all-subsets regression as opposed to stepwise regression further down in this article.

Why use LASSO shrinkage methods for linear regression? Select ALL that are correct.     They allow for greater model interpretability.     They increase the prediction accuracy of linear regression on training data.     They slightly decrease bias and can substantially decrease the variance of the model.     They slightly increase bias, but can substantially decrease the variance of the model.

Write short notes on: Lasso Regression