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Table 1

Comparison of performance measures for RF and ER models in predicting the model parameters

Performance metric	Random Forest	Ensemble Regression
RMSE	0.041	0.142
APB	1.96	8.09
MAE	0.02	0.09
NSE	0.84	0.41
KGE	0.85	0.17
Likelihood	0.46	0.0001

Performance metric	Random Forest	Ensemble Regression
RMSE	0.041	0.142
APB	1.96	8.09
MAE	0.02	0.09
NSE	0.84	0.41
KGE	0.85	0.17
Likelihood	0.46	0.0001