Interpretable Machine Learning for Landfill Cost Estimation Using XGBoost and SHAP
Accurate landfill cost estimation is essential for effective infrastructure planning and sustainable waste management, yet conventional approaches often fail to capture the complex nonlinear interactions among engineering, environmental, economic, and logistical factors. This study aims to develop an interpretable mach...