MAPE
- Created by
- Renato Passos, Eng. de Software
- Reviewed by
- Renato Passos, Eng. de Software
Last updated: Apr 18, 2026
About this calculator
The Mean Absolute Percentage Error (MAPE) calculator is an essential tool in time series analysis, allowing you to calculate the average percentage difference between forecasted and actual values.
It is used to measure the accuracy of forecasts, being particularly useful for forecasts that involve significant changes in the data. The formula used is the sum of the absolute errors, divided by the actual value, multiplied by 100.
The Mean Absolute Percentage Error is a measure of accuracy that varies from 0 to 100%, with 0% being the best possible accuracy. It is essential to consider the precautions when using this measure, such as the presence of outliers in the data, which can affect the accuracy of the forecasts.
The MAPE is an essential measure in time series analysis, as it helps evaluate the accuracy of forecasts and identify areas for improvement.
Frequently asked questions
What is the Mean Absolute Percentage Error?
The Mean Absolute Percentage Error (MAPE) is a measure of accuracy that calculates the average percentage difference between forecasted and actual values.
When to use the MAPE?
The MAPE is used to measure the accuracy of forecasts in time series analysis, especially in cases of significant changes in the data.
What are the precautions when using the MAPE?
It is essential to consider the presence of outliers in the data, which can affect the accuracy of the forecasts.
What is a good value for MAPE?
A good value for MAPE is 0%, which indicates the best possible accuracy.
How to calculate the MAPE?
The formula to calculate the MAPE is the sum of the absolute errors, divided by the actual value, multiplied by 100.