Median Absolute Error#
Median Absolute Error (MAD) is a robust measure of error, similar to MAE, that ignores highly erroneous predictions. Because MAD is a robust statistic, it works well even when used to measure non-normal distributions.
Note: In order to maintain the convention of maximizing validation scores, this metric outputs the negative of the original score.
Estimator Compatibility: Regressor
Output Range: -∞ to 0
use Rubix\ML\CrossValidation\Metrics\MedianAbsoluteError; $metric = new MedianAbsoluteError();