L. Aprilianitasari

Comparative evaluation of machine learning models for water quality classification using physicochemical parameters and SMOTE in tropical rivers

Figure showing an interpretable framework for water quality parameters in tropical rivers Machine learning offers a promising approach for water quality assessment by modelling complex nonlinear relationships among physicochemical parameters. This study compares four machine learning classifiers. Artificial Neural N...