Water quality prediction using machine learning models based on grid search method

• Published in: Multimedia tools and applications Vol. 83; no. 12; pp. 35307 - 35334
• Main Authors: Shams, Mahmoud Y., Elshewey, Ahmed M., El-kenawy, El-Sayed M., Ibrahim, Abdelhameed, Talaat, Fatma M., Tarek, Zahraa
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.04.2024; Springer Nature B.V
• Subjects: Accuracy; Classification; Computation; Computer Communication Networks; Computer Science; Correlation coefficients; Data Structures and Information Theory; Decision trees; Errors; Machine learning; Multilayer perceptrons; Multilayers; Multimedia Information Systems; Parameters; Regression models; Search methods; Special Purpose and Application-Based Systems; Tuning; Water quality; Grid search; Water quality classification; Machine learning models; Water quality index; Water quality

Water quality is very dominant for humans, animals, plants, industries, and the environment. In the last decades, the quality of water has been impacted by contamination and pollution. In this paper, the challenge is to anticipate Water Quality Index (WQI) and Water Quality Classification (WQC), suc...