Machine Learning & Training

What Is Mean Squared Error?

Mean squared error (MSE) is a common loss function for regression tasks. It computes the average of the squared differences between predicted values and actual values. Squaring the errors penalizes larger mistakes more heavily and keeps all terms positive.