In a case where sparsity is important and you have highly correlated variables, which regularization technique might be most appropriate?
- ElasticNet
- Lasso
- Ridge
- nan
ElasticNet combines the properties of Ridge and Lasso, making it suitable for handling both sparsity and multicollinearity in the dataset.
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