Developing an ensembled machine learning model for predicting water quality index in Johor River Basin

Environmental Sciences Europe

Table 1 Comparison of ML models

No of test data	No of true prediction		No of false prediction		Accuracy (%) in water class		R² value in WQI prediction
No of test data	RF	GB	RF	GB	RF	GB	RF	GB
328	278	282	50	46	95.73	96.35	0.86	0.85