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The fitting and prediction accuracy can be employed by the mean absolute error (MAE), root mean square error (RMSE) and mean absolute percentage error (MAPE) [22]. The smaller the error is, the better the fitting effect [19]. In this paper, MAE, RMSE, and MAPE are applicable to evaluating the fitting and prediction accuracy of the three models, respectively, which are expressed as:
Where the is the predicted value, Xt is the actual value and n is the sequence sample size [19].
Copyright and License information: ©2022 Zhao et al
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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