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What is elastic net regularization, and how does it solve the drawbacks of Ridge (L2) and Lasso (L1)?

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Is elastic net regularization always preferred to Lasso & Ridge since it seems to solve the drawbacks of these methods? What is the intuition and what is the math behind elastic net?


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