You are working with a dataset containing many irrelevant features. Which regularization technique would you prefer and why?
- ElasticNet
- Lasso
- Ridge
- nan
Lasso regularization adds an L1 penalty, which can cause some coefficients to be exactly zero, effectively removing irrelevant features from the model.
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