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What does L1 (Lasso) regularisation do that L2 (Ridge) does not?

  1. A Drives some coefficients to exactly zero, performing feature selection
  2. B Handles correlated features better
  3. C Always improves accuracy
  4. D Speeds up training
Answer

Drives some coefficients to exactly zero, performing feature selection

L2 shrinks coefficients towards zero without eliminating them and distributes weight among correlated features more gracefully.

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