Machine Learning-based Water Potability Prediction: Model Evaluation, and Hyperparameter Optimization
Anoushka Mondal,
Sudhanshu Sudhakar Dubey
Abstract:This research aims to predict water potability, which is of utmost importance for community safety. A comprehensive analysis of a machine learning model is presented here, considering various quality parameters, to achieve this prediction. The model incorporates decision tree, KNN, Random Forest, SGD, SVM, logistic regression, and other algorithms. All steps of the study, including pre-processing, exploratory data analysis, feature scaling, model construction, assessment, and hyperparameter tuning, are thoroug… Show more
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