Browsing by Subject "Artificial Intelligence, Neural Network, Water Potability, Machine Learning, Civil Engineering, Environmental Engineering."

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A Comprehensive Comparative Study of Machine Learning Algorithms for Water Potability Classification

Ahmad Musleh, Fuad (2024-03-1)

Water quality (WQ) prediction is of utmost importance due to the scarcity of uncontaminated water resources. In this study, six machine learning (ML) algorithms, including Bagging classifier, Logistic regression (LR), J48, ...

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