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

Table 4

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

Method	RMSE	MAE	MRE	NSE	SI	BIAS	WI
Model 1	0.0843	0.0555	−0.1082	0.7890	0.5382	0.0229	0.8710
Model 2	0.0566	0.4446	0.1392	0.9050	0.3612	0.0137	0.9545
Model 3	0.0910	0.0620	0.2943	0.7541	0.5809	0.0036	0.8722
Model 4	0.0919	0.0629	−0.1093	0.7493	0.5865	0.0334	0.9106
Model 5	0.1010	0.0629	0.0671	0.7049	0.6268	0.0288	0.8561
Model 6	0.0777	0.0510	−0.1594	0.8253	0.4823	0.0175	0.9182
Model 7	0.1002	0.0595	0.2029	0.7020	0.6394	0.0102	0.8404