The average squared difference between classifier predicted output and actual output.

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Mr. Dubey

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📊 Machine Learning (ML)

Q. The average squared difference between classifier predicted output and actual output.

(A) mean squared error
(B) root mean squared error
(C) mean absolute error
(D) mean relative error

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✅ Correct Answer: (A) mean squared error

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