fig6

Figure 6. The results of model evaluation metrics for ten models. (A) The comparison of MSE among the prediction results of various models; (B) The comparison of R² among the prediction results of various models; (C) The comparison of MAPE among the prediction results of various models; (D) The comparison of MPE among the prediction results of various models. MSE: Mean square error; R²: coefficient of determination; MAPE: mean absolute percentage error; MPE: maximum percentage error.