基于TPE-SVM模型和SHAP解释的闪锌矿微量元素特征识别铅锌矿床类型

陈忠元; 任涛; 赵冻

doi:10.3799/dqkx.2025.136

Volume 50 Issue 11

Nov. 2025

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Chen Zhongyuan, Ren Tao, Zhao Dong, 2025. TPE-SVM Model and SHAP Analysis to Identify Pb-Zn Deposit Types Based on Sphalerite Trace Elements. Earth Science, 50(11): 4355-4369. doi: 10.3799/dqkx.2025.136

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Chen Zhongyuan, Ren Tao, Zhao Dong, 2025. TPE-SVM Model and SHAP Analysis to Identify Pb-Zn Deposit Types Based on Sphalerite Trace Elements. Earth Science, 50(11): 4355-4369. doi: 10.3799/dqkx.2025.136

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TPE-SVM Model and SHAP Analysis to Identify Pb-Zn Deposit Types Based on Sphalerite Trace Elements

doi: 10.3799/dqkx.2025.136

Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China

Received Date: 2025-02-22
Publish Date: 2025-11-25

Abstract

Abstract

This study demonstrates the efficacy of machine learning algorithms in classifying genetic types of Pb-Zn deposits through trace elements in sphalerite. It compiled a comprehensive trace element dataset comprising 3 117 sphalerite samples from 109 globally representative Pb-Zn deposits including MVT, VMS, SEDEX, skarn, and epithermal deposits. Twelve trace elements (Mn, Fe, Co, Cu, Ga, Ge, Ag, Cd, In, Sn, Sb, Pb) were systematically analyzed to develop a Tree-structured Parzen Estimator (TPE)-optimized Support Vector Machine (SVM) classification model. The model demonstrated exceptional discriminative performance on test datasets, achieving accuracy, recall, and F1-score values exceeding 0.97. SHAP (SHapley Additive exPlanations) interpretability analysis revealed Mn, Ge, and Co as critical discriminators among deposit types, providing quantitative insights into elemental controls on genetic classification. The discriminant index system of trace elements in sphalerite established in this paper not only provides a new technical means for the identification of ore genesis, but also provides innovative solutions for complex geological problems such as the analysis of composite metallogenic system and the prediction of concealed ore bodies.
- sphalerite,
- trace elements,
- machine learning,
- TPE optimization algorithm,
- SHAP algorithm,
- ore deposits

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References(62)

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