Question: Why use regularization or shrinkage methods? Select ALL that are correct. A. They slightly increase bias, but can substantially decrease the variance of the model.

Why use regularization or shrinkage methods? Select ALL that are correct.

A. They slightly increase bias, but can substantially decrease the variance of the model.

B. They slightly decreases bias, but can substantially increase the variance of the model.

C. They allow for greater model interpretability.

D. They increase the prediction accuracy of linear regression on training data.

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