Mean squared error (MSE)

Mean Squared Error (MSE) is a common loss function used in regression problems. It calculates the average of the squares of the differences between the predicted values and the actual values. This metric helps in measuring the quality of an estimator; the lower the MSE, the better the model's predictions.