Notes by Lex

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.

Steps

1. Calculate error vector as labels - predictions
2. Take the absolute values of the errors
3. Take the mean of all values.

An alternative to Root mean-squared error - L2 Loss.

References

• What Are L1 and L2 Loss Functions