Open AccessA novel approach for prediction of daily streamflow discharge data using correlation based feature selection and random forest method
Author(s) -
Levent Latifoğlu
Publication year - 2022
Publication title -
international advanced researches and engineering journal
Language(s) - English
Resource type - Journals
ISSN - 2618-575X
DOI - 10.35860/iarej.987245
Subject(s) - random forest , streamflow , feature selection , feature (linguistics) , selection (genetic algorithm) , precipitation , computer science , correlation , model selection , data mining , environmental science , machine learning , meteorology , mathematics , geography , drainage basin , linguistics , philosophy , cartography , geometry
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