Research Article
Implementation of Genetic Algorithm Integrated with the Deep Neural Network for Estimating at Completion Simulation
Table 8
The numerical evaluation indicators for the GA-SVR predictive model over the testing modeling phase.
| Method | RMSE | MAE | MRE | NSE | SI | BIAS | WI |
| Model 1 | 0.0923 | 0.0571 | 0.3860 | 0.7473 | 0.5889 | −0.0064 | 0.8710 | Model 2 | 0.0847 | 0.5820 | 0.3972 | 0.7874 | 0.5401 | −0.0016 | 0.8925 | Model 3 | 0.0767 | 0.0468 | 0.4033 | 0.8254 | 0.4895 | −0.0064 | 0.9106 | Model 4 | 0.1014 | 0.0588 | 0.4669 | 0.6948 | 0.6471 | −0.0001 | 0.8359 | Model 5 | 0.1056 | 0.0641 | 0.6324 | 0.6772 | 0.6555 | 0.0074 | 0.8241 | Model 6 | 0.1096 | 0.0652 | 0.5087 | 0.6523 | 0.6803 | 0.0244 | 0.8359 | Model 7 | 0.1121 | 0.0629 | 0.7884 | 0.6271 | 0.7154 | −0.0229 | 0.8187 |
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