Pattern Extraction of Water Quality Prediction Using Machine Learning Algorithms of Water Reservoir

Model prediction and pattern extraction in data mining allow data to be processed by extracting useful information stored in large databases. The study aims to implore data mining technique for pattern extraction and model prediction of water quality in water reservoir using different parameters and water quality index. A well-known machine learning algorithms such as Naive Bayes, Decision Tree, Random Forest, Gradient Boost and Deep learning algorithms were used for data analysis and interpretation. The result indicated that water quality index was mostly in fair and marginal rank that indicates of water quality was being threatened by different water pollutants.