Mean Squared Error
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Mean Squared Error
Also, MSE. The average of the squares of all the errors found when comparing predicted values with observed values. Squaring them makes the bigger errors count for more, making Mean Squared Error more popular than Mean Absolute Error when quantifying the success of a set of predictions. See also Mean Absolute Error, Root Mean Squared Error
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