Ensemble machine learning models based on Reduced Error Pruning Tree for prediction of rainfall-induced landslides

Ensemble machine learning models based on Reduced Error Pruning Tree for prediction of rainfall-induced landslides

In this paper, we developed highly accurate ensemble machine learning models integrating Reduced Error Pruning Tree (REPT) as a base classifier with the Bagging (B), Decorate (D), and Random Subspace (RSS) ensemble learning techniques for spatial prediction of rainfall-induced landslides in the Utta...

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Bibliographic Details
Main Authors: Binh Thai Pham, Abolfazl Jaafari, Trung Nguyen-Thoi, Tran Van Phong, Huu Duy Nguyen, Neelima Satyam, Md Masroor, Sufia Rehman, Haroon Sajjad, Mehebub Sahana, Hiep Van Le, Indra Prakash
Format: Article
Language:English
Published: Taylor & Francis Group 2021-05-01
Series:International Journal of Digital Earth
Subjects:
machine learning
ensemble modeling
bagging
decorate
random subspace
Online Access:http://dx.doi.org/10.1080/17538947.2020.1860145

Internet

http://dx.doi.org/10.1080/17538947.2020.1860145

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