A hybrid of ensemble machine learning models with RFE and Boruta wrapper-based algorithms for flash flood susceptibility assessment

A hybrid of ensemble machine learning models with RFE and Boruta wrapper-based algorithms for flash flood susceptibility assessment

Flash floods are among the world most destructive natural disasters, and developing optimum hybrid Machine Learning (ML) models for flash flood susceptibility (FFS) modeling remains a challenge. This study proposed novel intelligence algorithms based on a hybrid of several ensemble ML models (i.e.,...

Full description

Bibliographic Details
Main Authors: Alireza Habibi, Mahmoud Reza Delavar, Mohammad Sadegh Sadeghian, Borzoo Nazari, Saeid Pirasteh
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Machine learning
Hybrid models
Boruta and RFE
Ensemble models
Flood susceptibility
Random search
Online Access:http://www.sciencedirect.com/science/article/pii/S156984322300225X

Internet

http://www.sciencedirect.com/science/article/pii/S156984322300225X

Similar Items