Mean Squared Error (MSE)

The MSE metric measures the average of the squares of the errors, that is  the average squared difference between the estimated values and the actual value. The MSE is a measure of the quality of an estimator—it is always non-negative, and values closer to zero are better.

Tip: MSE is sensitive to outliers. If you want a more robust metric, try mean absolute error (MAE).