Mineral prospectivity mapping susceptibility evaluation based on interpretable ensemble learning

IF 3.2 2区 地球科学 Q1 GEOLOGY
Zhengbo Yu , Binbin Li , Xingjie Wang
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引用次数: 0

Abstract

In the present study, an interpretable ensemble learning-based method for mineral prediction mapping is proposed to address the limitations of traditional mineralization prediction modeling. A stacking ensemble learning model was constructed, employing random forest (RF), extreme gradient boosting (XGBoost), and AdaBoost as primary learners, and logistic regression as the secondary learner. The model’s interpretability was analyzed using local interpretable model-agnostic explanations (LIME) and shapley additive explanations (SHAP) algorithms. The lead–zinc deposits in the Changba mining area of Gansu Province served as a case study. By integrating geological and geochemical data, and selecting 18 evaluation factors, the effectiveness and interpretability of the ensemble learning model in mineralization prediction were validated. The results demonstrate that the lead–zinc prospecting map generated using the stacking model effectively correlates geological and geochemical data with known lead–zinc deposit locations, significantly enhancing the accuracy of identifying potential lead–zinc prospecting areas.

Abstract Image

基于可解释集合学习的矿产远景测绘易感性评估
本研究针对传统成矿预测模型的局限性,提出了一种基于集合学习的可解释成矿预测绘图方法。采用随机森林(RF)、极梯度提升(XGBoost)和 AdaBoost 作为主要学习器,逻辑回归作为次要学习器,构建了一个堆叠集合学习模型。模型的可解释性采用局部可解释模型-不可知解释(LIME)和夏普利加法解释(SHAP)算法进行分析。甘肃省长坝矿区的铅锌矿床是一个案例研究。通过整合地质和地球化学数据,选择 18 个评价因子,验证了集合学习模型在成矿预测中的有效性和可解释性。结果表明,利用堆叠模型生成的铅锌矿找矿图能有效地将地质和地球化学数据与已知铅锌矿床位置相关联,显著提高了潜在铅锌矿找矿区域的识别精度。
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来源期刊
Ore Geology Reviews
Ore Geology Reviews 地学-地质学
CiteScore
6.50
自引率
27.30%
发文量
546
审稿时长
22.9 weeks
期刊介绍: Ore Geology Reviews aims to familiarize all earth scientists with recent advances in a number of interconnected disciplines related to the study of, and search for, ore deposits. The reviews range from brief to longer contributions, but the journal preferentially publishes manuscripts that fill the niche between the commonly shorter journal articles and the comprehensive book coverages, and thus has a special appeal to many authors and readers.
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