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Glossary: ML Basics

MAE

Also written: mean absolute error, mean_absolute_error

Mean absolute error: the average size of the errors, in the target's units. A café MAE of 4.5 means predictions are typically off by about 4.5 lb.

Where the book teaches it

Related terms

RMSER²Residual (error)