Mapping of Gold Prospectivity in the Qingchengzi Pb–Zn–Ag–Au Polymetallic District, China, with Ensemble Learning Algorithms

This study tested mapping of prospectivity for gold deposits in the Qingchengzi Pb–Zn–Ag–Au polymetallic district using single machine learning algorithms and EL algorithms, demonstrating that the stacking model, which combines multiple base models for hierarchical feature extraction, achieves the best predictive performance.