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(Choose 1 answer)
Why is it important to consider Goodhart's law?
A. A model might optimize one metric at the expense of others.
B. A model might be ineffective in its application domain.
C. A model might change its task from classification to regression, or vice versa.
D. A model very famous and can be apply to all domain.
