Mean Absolute Difference - L1 Loss
Mean Absolute Difference (MAE) is a function for assessing Regression predictions. It's also as L1 Loss because it takes the L1 Norm of the error vector.
- Calculate error vector as labels - predictions
- Take the absolute values of the errors
- Take the mean of all values.
An alternative to Root mean-squared error - L2 Loss.