ElasticNet is a regularized regression method that linearly combines the L1 penalty of _________ and the L2 penalty of _________.
- Lasso, Ridge
- Linear, Polynomial
- Polynomial, Linear
- Ridge, Lasso
ElasticNet is a regularized regression method that combines the L1 penalty of Lasso and the L2 penalty of Ridge, incorporating the properties of both methods.
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