What is "regularization" in machine learning?

A

Increasing model complexity
B

Adding noise to the data
C

Penalizing complex models
D

Optimizing hyperparameters
E

Reducing model accuracy

Explanation:

Regularization adds a penalty for more complex models to prevent overfitting, encouraging simpler models that generalize better.

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