Читать книгу Machine Learning for Tomographic Imaging - Professor Ge Wang - Страница 54

The mean absolute percentage error (MAPE) (De Myttenaere et al 2016) is a variant of MAE, which is computed as

L=1n∑i=1ny(i)−yˆ(i)y(i)·100.(3.21)

MAPE is used to measure the percentage error between predicted and real values. The idea of MAPE is quite simple and convincing, but it is not commonly used in practical applications due to some major drawbacks. For instance, it cannot be used if there are zero values, which would mean a division by zero. Moreover, it is not upper bounded.