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Machine Learning for Water Quality Prediction by sebastian8228 is a document available to read on EtoBox.

This article presents a framework for predicting water quality using data-driven machine learning models, focusing on the classification of water as safe or nonsafe based on various physiochemical and microbiological parameters. The study employs several machine learning techniques, including Stacking classification after applying SMOTE, achieving high accuracy and precision metrics. The research aims to enhance automated water quality monitoring and management, addressing the critical need for safe drinkin

Author

sebastian8228

Language

EN