Addressing overfitting and overestimation challenges in landslide susceptibility modeling: a case study of Penang Island, Malaysia
In the realm of landslide susceptibility prediction, the challenge of overfitting and overestimation has persisted despite various modeling attempts. This study aims to elevate the predictive capabilities of the Extreme Gradient Boosting (XGBoost) and Random Forest (RF) models for landslide suscepti...
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| Main Authors: | , |
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| Format: | Article |
| Language: | en |
| Published: |
Springer Nature
2025
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/50978/1/Addressing_overfitting_and_overestimation_challeng.pdf http://ir.unimas.my/id/eprint/50978/ https://link.springer.com/article/10.1007/s11069-025-07329-6 https://doi.org/10.1007/s11069-025-07329-6 |
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