To prevent overfitting, the process of _______ is used to simplify the models by penalizing complex ones.

  • Cross-Validation
  • Ensemble Learning
  • Feature Scaling
  • Regularization
To prevent overfitting, the process of regularization is used. Regularization techniques, such as L1 (Lasso) and L2 (Ridge) regularization, penalize complex models by adding a penalty term to the loss function. This helps in simplifying the model and improving its generalization to new, unseen data.
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