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

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



-see question 3 about metrics in regression
-It puts too much emphasis on large deviations (squared)
-Alternative: mean absolute deviation

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