Calculating the Mean Absolute Error (MAE)

MAE is the mean value of the absolute difference between the real values (y_j) and the predicted values (?_j). It cannot tell us the direction of the error, meaning that the prediction could be above or below the true value. If we have a total of N data points, we can calculate MAE as follows: