Performance analysis of different machine learning models on groundwater quality prediction for sustainable groundwater management
Abstract
Both natural and man-made environmental factors affect the chemical composition of groundwater.A large amount of chemical data is analysed to determine if groundwater is suitable for drinking and other uses.Many machine learning methods are available for evaluating groundwater quality.Using machine learning is considered convenient and cost-effective for analysing large datasets and saving time.The present study compares the performance of logistic regression, k-nearest neighbours, and support vector machine to identify the most suitable algorithm for assessing groundwater quality.The present study area is the Kanyakumari district, Tamil Nadu, India.
Fields of Study & Subjects
Water Quality and Pollution Assessment
Hydrological Forecasting Using AI
Data Mining and Machine Learning Applications
Publication details
- Journal / source
- Current Science
- Volume
- 130
- Issue
- 5
- Pages
- 423–430
- Publication date
- 10 March 2026
- Language
- EN