High-accuracy mineralization evaluation of VMS deposits using machine learning and basalt geochemistry

• Published in: Ore geology reviews Vol. 184; p. 106780
• Main Authors: Li, Jiachen, Sun, Xiang, Xiao, Ke, Wang, Qiuyun, Liang, Xiaoya, Cui, Limeng
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.09.2025
• Subjects: AdaBoost; Basalt; Machine learning; Mineralization evaluation; VMS deposit; Basalt; AdaBoost; Mineralization evaluation; VMS deposit; Machine learning

[Display omitted] •Developed AdaBoost, GBDT, and RF models for VMS deposit evaluation, achieving over 99.63% accuracy with a basalt dataset.•Used SHAP analysis to identify Fe2O3, TiO2, and Co as critical indicators, linking ML results to geological processes.•Constructed "Co/Fe2O3 vs. V/Tm"...