Tree Boosting Methods Comparison for Landslide Susceptibility Maps, Case Study: Kejajar, Wonosobo

• Main Authors: Arifianto, Rokhmat, Wahyunggoro, Oyas, Mustika, I. Wayan, Adimedha, Tyto Baskara
• Format: Conference or Workshop Item PeerReviewed
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2023
• Subjects: Electrical and Electronic Engineering not elsewhere classified
• Online Access: https://repository.ugm.ac.id/285849/1/Tree%20Boosting%20Methods%20Comparison.pdf; https://repository.ugm.ac.id/285849/; https://ieeexplore.ieee.org/document/10205882
• Institution: Universitas Gadjah Mada

Landslides in Indonesia occur almost every year and cause large material losses. Early prevention by creating a landslide susceptibility map is one way to anticipate losses due to landslides. The search for the best method for predicting landslides using machine learning with several tree boosting m...