Random Forest and Extreme Gradient Boosting with Bayesian Hyperparameter Optimization for Landslide Susceptibility Mapping in Penang Island, Malaysia

Landslide susceptibility models often face challenges of overfitting and overestimation. This research focuses on improving the predictive capabilities of the Extreme Gradient Boosting (XGBoost) and Random Forest (RF) algorithms by applying Bayesian Hyperparameter Optimization (BayesOpt). Penang Is...

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Bibliographic Details

Main Authors:	Dorothy, Martin Atok, Soo See, Chai, Kok Luong, Goh, Neha, Gautam, Kim On, Chin
Format:	Article
Language:	en
Published:	Science Publications 2025
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://ir.unimas.my/id/eprint/51082/1/jcssp.2025.2273.2291.pdf http://ir.unimas.my/id/eprint/51082/ https://thescipub.com/abstract/jcssp.2025.2273.2291 https://doi.org/10.3844/jcssp.2025.2273.2291
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