Improving the accuracy of freight mode choice models: A case study using the 2017 CFS PUF data set and ensemble learning techniques

Fuente: arXiv

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Bibliographic Details
Main Authors:	Liu, Diyi, Lim, Hyeonsup, Uddin, Majbah, Liu, Yuandong, Han, Lee D., Hwang, Ho-ling, Chin, Shih-Miao
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2402.00654