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Why is mean square error a bad measure of model performance? What would you suggest instead?

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Mean Squared Error (MSE) gives a relatively high weight to large errors — therefore, MSE tends to put too much emphasis on large deviations. A more robust alternative is MAE (mean absolute deviation).

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