Elastic Net When to Use

Hard

machine-learning Two Sigma DE Shaw Goldman Sachs

Multiple Choice

Ridge regression, which removes all correlated features entirely Elastic Net, which combines L1 and L2 penalties to handle correlated features as groups Increasing the Lasso alpha parameter to force selection of all correlated features Applying PCA before Lasso to remove correlations

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