基于改进XGBoost算法的深部巷道松动圈智能预测研究

凡兴禹,王雪林

Research on Intelligent Prediction of EDZ Around Deep Tunnels Based on Improved XGBoost Algorithm

Xingyu FAN,Xuelin WANG

表2 GWO-XGBoost模型在不同粒子数下的性能

Table 2 Performance of GWO-XGBoost model under different swarm sizes

粒子数 训练集 测试集 MAE MAPE RMSE R2 MAE MAPE RMSE R2 60 7.031 7.321 10.143 0.9014 7.593 7.907 10.954 0.8560 70 7.743 8.331 11.043 0.8802 8.362 8.997 11.926 0.8361 80 7.202 7.954 10.631 0.8892 7.778 8.590 11.481 0.8453 90 6.812 6.943 9.522 0.9073 7.357 7.498 10.284 0.8621 100 8.212 8.994 11.705 0.8723 8.869 9.714 12.641 0.8290