Implementation of Genetic Algorithm Integrated with the Deep Neural Network for Estimating at Completion Simulation

Table 6

The numerical evaluation indicators for the BF-DNN predictive model over the testing modeling phase.

Models	RMSE	MAE	MRE	NSE	SI	BIAS	WI
Model 1	0.0843	0.0555	−0.1082	0.7890	0.5382	0.0229	0.8978
Model 2	0.0712	0.5721	0.4154	0.8494	0.4546	−0.0086	0.9229
Model 3	0.0750	0.0537	0.2552	0.8333	0.4783	0.0020	0.9179
Model 4	0.0802	0.0527	0.0250	0.8091	0.5118	0.0155	0.9038
Model 5	0.0890	0.0594	0.4141	0.7651	0.5678	0.0034	0.8778
Model 6	0.0399	0.0260	−0.1873	0.9527	0.2555	0.0143	0.9791
Model 7	0.1009	0.0607	0.5762	0.6981	0.6437	0.0168	0.8654