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MAPE (Mean Absolute Percentage Error)

The mean absolute percentage error (MAPE), also known as mean absolute percentage deviation (MAPD), is a measure of prediction accuracy of a forecasting method in statistics, for example in trend estimation, also used as a Loss function for regression problems in Machine Learning. The MAPE (Mean Absolute Percent Error) measures the size of the error in percentage terms. It is calculated as the average of the unsigned percentage error, as shown in the example below:

Mean Absolute Percentage Error

where Obs is the observation value and Model is the forecast value.

Paste 2-columns data here (obs vs. sim). In format of excel, text, etc. Separate it with space:

Mean Absolute Percentage Error: %

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