A Comparative Study of Kernel Logistic Regression, Radial Basis Function Classifier, Multinomial Naïve Bayes, and Logistic Model Tree for Flash Flood Susceptibility Mapping

A Comparative Study of Kernel Logistic Regression, Radial Basis Function Classifier, Multinomial Naïve Bayes, and Logistic Model Tree for Flash Flood Susceptibility Mapping

Risk of flash floods is currently an important problem in many parts of Vietnam. In this study, we used four machine-learning methods, namely Kernel Logistic Regression (KLR), Radial Basis Function Classifier (RBFC), Multinomial Naïve Bayes (NBM), and Logistic Model Tree (LMT) to generate f...

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Bibliographic Details
Main Authors: Binh Thai Pham, Tran Van Phong, Huu Duy Nguyen, Chongchong Qi, Nadhir Al-Ansari, Ata Amini, Lanh Si Ho, Tran Thi Tuyen, Hoang Phan Hai Yen, Hai-Bang Ly, Indra Prakash, Dieu Tien Bui
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Water
Subjects:
flash flood
kernel logistic regression
radial basis function network
multinomial naïve bayes
logistic model tree
machine learning
vietnam
Online Access:https://www.mdpi.com/2073-4441/12/1/239

Internet

https://www.mdpi.com/2073-4441/12/1/239

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