27. In machine learning, what is regularization?
(A) Regularization is a technique to increase model complexity in order to improve its
performance on training data.
(B) Regularization is a technique to decrease model complexity in order to reduce its
performance on training data.
(C) Regularization is a technique to reduce model overfitting by adding extra terms to the
objective function to limit the size of model parameters.
(D) Regularization is a technique to increase model overfitting in order to improve its
performance on training data.
(E) Regularization is a technique to reduce model overfitting by increasing the amount of
training data to enhance the model's generalization ability.