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zero. However, in the case of the Lasso, the L1 penalty or L1 norm is used which has the effect of forcing some of the coefficient estimates to be exactly equal to zero when the tuning parameter λ is significantly large. Hence, like many feature selection techniques, Lasso Regression performs