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...
| 出版年: | ENVIRONMENT-BEHAVIOUR PROCEEDINGS JOURNAL |
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| 主要な著者: | , , , , , |
| フォーマット: | Proceedings Paper |
| 言語: | English |
| 出版事項: |
E-IPH LTD UK
2023
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| 主題: | |
| オンライン･アクセス: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001149905200028 |