Given a scenario where the feature correlation is very high, how would you choose between Ridge, Lasso, and ElasticNet?
- It doesn't matter
- Prefer ElasticNet
- Prefer Lasso
- Prefer Ridge
ElasticNet is preferred when there's multicollinearity, as it combines L1 and L2 penalties, balancing the properties of Ridge and Lasso.
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