Yingjuan Li

5.2. Discussion In this paper, five machine learning methods were used to construct traffic accident prediction models, considering safety violations and service violations. The model with the best prediction effect was chosen by comparing the MSE, RMSE, MAE, MAPE, and R 2 . reveals that in terms of MSE, RMSE, MAE, and R 2 , the XGBoost model has the highest prediction accuracy, followed by the BP Neural Network model, SVM model, GBDT model, and ETs model.

Abstract : Returning farmland to the forest (RFTF) in the upper Yangtze River basin is a strategic measure to promote the sustainable development of ecological protection. The convergence analysis of the overall benefits of the upper Yangtze River basin provides a basis for a scientific and reasonable understanding of the improvement in the comprehensive benefits of RFTF in the basin. It provides policy suggestions for basin governance and sustainable development.