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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Vydané v:	Ore geology reviews Ročník 145; s. 104916
Hlavní autori:	Yin, Jiangning, Li, Nan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.06.2022
Predmet:	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
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