Predicting Kereh River's Water Quality: A comparative study of machine learning models

This study introduces a machine learning-based approach to forecast the water quality of the Kereh River and categorize it into 'polluted' or 'slightly polluted' classifications. This work employed three machine learning algorithms: decision tree, random forests (RF), and boosted...

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书目详细资料
发表在:ENVIRONMENT-BEHAVIOUR PROCEEDINGS JOURNAL
Main Authors: Nasaruddin, Norashikin; Ahmad, Afida; Zakaria, Shahida Farhan; Ul-Saufie, Ahmad Zia; Osman, Mohamed Syazwan
格式: Proceedings Paper
语言:English
出版: E-IPH LTD UK 2023
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在线阅读:https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001149905200028