Comparative evaluation of decision tree and random forest models for multi-class water quality classification of the Yamuna river
Monitoring the quality of water in rivers is important for environmental sustainability. This study presents a comparison of Decision Tree (DT) and Random Forest (RF) classifiers for multi-class classification of the water quality of the Yamuna River on the basis of temperature, pH, electrical conductivity, BOD, and fe...