title: The Assessment of Water Quality Forecasting Using AI-Based ML Algorithms
abstract: Water quality matters to people, animals, plants, ecosystems, and entities. Recent environmental damage and contamination have harmed water purity. Because they indicate water authenticity, the Water Quality Index (WQI) and Water Quality Classification (WQC) are difficult to predict. In this paper, KNN imputers improve many MLalgorithms for water quality prediction. The precision of current methods is not good enough. Additionally, there are missing values in the dataset that are currently acces
journal: Metallurgical and Materials Engineering