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What does MAPE stand for?

Mean Absolute Percentage Error


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This definition appears very rarely and is found in the following Acronym Finder categories:

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Samples in periodicals archive:
Widely used measure of predictive variability is mean absolute percentage error (MAPE) (see e.
Statistical techniques for analysing forecast errors include mean absolute percentage error (MAPE) and root mean squared error (RMSE).
In this study, a negative mean absolute percentage error (-MAPE) is used as the fitness function.
The two most common output statistics utilized by researchers are the mean error (ME) and the mean absolute percentage error (MAPE), as shown in Table 7.
Relative accuracy measures the difference between the forecast and the actual occurrence in terms of a percentage and may be expressed, for example, as a mean percentage error, mean absolute percentage error, relative forecasting error, or coefficient of variation.
The mean absolute percentage error (MAPE) also allows meaningful comparisons to be made between several forecasted items or events having significantly different magnitudes.
The validations show an astonishing degree of accuracy over a wide range of pharmaceutical products, with a Mean Absolute Percentage Error margin of 2.
The following tables present the results of calculating a mean absolute percentage error (MAPE) between the actual and predicted values for each house.

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