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Lasso Regression’s advantage over ordinary least squares is coming from the earlier introduced bias-variance trade-off. As λ increases, the flexibility of the ridge regression fit decreases, leading to decreased variance but increased bias. Additionally, Lasso also performs feature selection. Pros