What is the primary purpose of regularization in machine learning?

  • Enhance model complexity
  • Improve model accuracy
  • Prevent overfitting
  • Promote underfitting
Regularization techniques aim to prevent overfitting by adding a penalty term to the model's loss function. This encourages the model to be less complex, reducing the risk of overfitting while maintaining good performance.
Add your answer
Loading...

Leave a comment

Your email address will not be published. Required fields are marked *