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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Bibliographic Details
Published in:ENVIRONMENT-BEHAVIOUR PROCEEDINGS JOURNAL
Main Authors: Nasaruddin, Norashikin; Ahmad, Afida; Zakaria, Shahida Farhan; Ul-Saufie, Ahmad Zia; Osman, Mohamed Syazwan
Format: Proceedings Paper
Language:English
Published: E-IPH LTD UK 2023
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Online Access:https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001149905200028

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