Median Absolute Error#
Median Absolute Error (MAD) is a robust measure of error, similar to MAE, that ignores highly erroneous predictions. Since 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
Parameters#
This metric does not have any parameters.
Example#
use Rubix\ML\CrossValidation\Metrics\MedianAbsoluteError;
$metric = new MedianAbsoluteError();
Last update:
2021-01-26