An evaluation of random forest based input variable selection methods for one month ahead streamflow forecasting

Abstract In the development of data-driven models for streamflow forecasting, choosing appropriate input variables is crucial. Although random forest (RF) has been successfully applied to streamflow forecasting for input variable selection (IVS), comparative analysis of different random forest-based...

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Bibliographic Details
Main Authors: Wei Fang, Kun Ren, Tiejun Liu, Jianan Shang, Shengce Jia, Xiangxiang Jiang, Jie Zhang
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-81502-y
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