Why use LASSO shrinkage methods for linear regression? SelectALL 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.
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