mae¶

getml.pipeline.scores.mae = 'mae'¶

Mean Absolute Error - measure of distance between two numerical targets.

Used for regression problems.

$MAE = \frac{\sum_{i=1}^n | \mathbf{y}_i - \mathbf{\hat{y}}_i |}{n},$

where $\mathbf{y}_i$ and $\mathbf{\hat{y}}_i$ are the target values or prediction respectively for a particular data sample $i$ (both multidimensional in case of using multiple targets) while $n$ is the number of samples we consider during the scoring.