Multiple Choice Question

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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