Analysis of Supervised Machine Learning Techniques to Assess Water Quality

Checking water quality plays a key role in keeping water ecosystems and people healthy and safe.Old ways to test water quality often take a lot of time and money.New supervised machine learning (ML) methods offer hope for quick and exact water quality tests.This paper looks at different supervised ML methods how we use them, and how well they work for water quality tests.We check out systems like Decision Trees, Random Forest, Support Vector Machines (SVM), and Neural Networks.We compare how well they work and if they fit for different parts of water quality.