Which regularization technique adds a penalty equivalent to the absolute value of the magnitude of coefficients?

  • Elastic Net
  • L1 Regularization
  • L2 Regularization
  • Ridge Regularization
L1 Regularization, also known as Lasso, adds a penalty equivalent to the absolute value of coefficients. This helps in feature selection by encouraging some coefficients to become exactly zero.
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