Water Quality Prediction Using Machine Learning

Abstract

Abstract— Water is one of the most leading factors for all the living organisms on our earth. Nowadays many factors cause the quality of the water is decreases The Objective of this study is to apply machine learning techniques such as Support vector machine(SVM) and Decision Tree Algorithms. To analyze the accuracy of water quality with both these algorithms. This paper focus on the comparative study of SVM and Decision Tree Classifier on water quality prediction. Two different types of the dataset is used to evaluate the performance of the models. Both datasets contains the different elements of water

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