Mean Absolute Error (MAE)

What is Mean Absolute Error (MAE)?

The average of the absolute errors between predicted and actual values. Unlike MSE, it treats all errors linearly and is less sensitive to outliers.

Where did the term "Mean Absolute Error (MAE)" come from?

Standard regression metric.

How is "Mean Absolute Error (MAE)" used today?

Used when you want an easily interpretable error (e.g., dollars).

Related Terms

• regression
• Loss Function