In what situations would ElasticNet be preferred over Ridge or Lasso?
- When all features are equally important
- When features are uncorrelated
- When model complexity is not a concern
- When multicollinearity is high
ElasticNet is preferred when there's multicollinearity and you want to balance between Ridge and Lasso, as it combines the properties of both.
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