Assessment of Water Quality using Machine Learning and Fuzzy Techniques

The water quality of river Ganga is an important concern due to its drinking, domestic uses, irrigation and also for aquatic life. But the extent pollutants in has deteriorated water. So, assessment becomes very important. involved subjectivity uncertainty decision making parameter makes task complex. In this study, machine learning fuzzy techniques are utilized develop models. grouped into three classes. Four algorithms namely tree, random forest k-nearest neighbor support vector used implemented on python anaconda platform. Whereas, based models (fuzzy wang-mendel fast prototyping) developed using Guaje open source software. All seven analyzed terms accuracy, precision, recall f1-score. observed result shows that tree-based model performs more accurately as compared with