MAE (erro médio absoluto)
- Created by
- Renato Passos, Eng. de Software
- Reviewed by
- Renato Passos, Eng. de Software
Last updated: Apr 18, 2026
Formula
MAE
About this calculator
The MAE (Mean Absolute Error) calculator is a useful tool for statisticians and data analysts who need to calculate the accuracy of a regression model.
MAE is a performance measure that calculates the average of the absolute errors between predictions and actual values. It makes sense to use when you need to evaluate the accuracy of a model in regression problems.
Note that MAE is not affected by the direction of errors, only by their size. This means that an error of 2 units has the same weight as an error of -2 units.
When using the MAE calculator, it's essential to be careful with raw data, as data errors can significantly affect the final result.
Frequently asked questions
What is MAE?
MAE (Mean Absolute Error) is a performance measure that calculates the average of the absolute errors between predictions and actual values.
When to use the MAE calculator?
Use the MAE calculator when you need to evaluate the accuracy of a regression model.
How is MAE calculated?
MAE is calculated using the formula MAE = Σ|eᵢ|/n, where eᵢ are the absolute errors and n is the number of observations.
What does the MAE value mean?
A low value of MAE indicates that the model is well predicting the actual values, while a high value indicates that the model is committing errors.
What are absolute errors?
Absolute errors are the difference between predictions and actual values, without considering the direction of the difference.