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increased bias. Pros solves overfitting easy to understand Cons low model interpretability if p is large Ridge Regression will assign a penalty (λ) to some variables shrinking their coefficients towards zero but they will never become exactly zero. Image Source: Ashley Fontana Lasso Regression One