Ensemble learning models with a Bayesian optimization algorithm for mineral prospectivity mapping

[Display omitted] •Bayesian optimization is a powerful optimization tool to find the best hyperparameters of machine learning models.•The optimization results provide references for the empirical hyperparameters setting of ensemble learning models.•XGBoost model outperformed RF model with better pre...

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Bibliographic Details

Published in:	Ore geology reviews Vol. 145; p. 104916
Main Authors:	Yin, Jiangning, Li, Nan
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.06.2022
Subjects:	Bayesian optimization Ensemble learning K-fold cross validation Mineral prospectivity mapping Random forest XGBoost Mineral prospectivity mapping Random forest Ensemble learning Bayesian optimization XGBoost K-fold cross validation
ISSN:	0169-1368
Online Access:	Get full text
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