Table 7.
Efficiency criteria for various models.
| Method | ANN | MLR | GMDH | GEP |
|---|---|---|---|---|
| MAE_train | 118.13 | 433.44 | 153.42 | 195.70 |
| MAE_test | 130.13 | 460.41 | 208.32 | 241.43 |
| MAE- All data | 121.54 | 440.89 | 169.94 | 209.010 |
| RMSE_train | 195.51 | 610.93 | 209.34 | 280.73 |
| RMSE_test | 211.45 | 615.02 | 296.85 | 368.67 |
| RMSE- All data | 206.61 | 611.59 | 239.07 | 309.417 |
| MAPE_train | 8.59 | 51.95 | 16.1 | 16.53 |
| MAPE_test | 11.05 | 52.68 | 19.2 | 23.23 |
| MAPE- All data | 9.32 | 52.41 | 17.01 | 18.505 |
 |
0.981 | 0.754 | 0.973 | 0.949 |
 |
0.960 | 0.810 | 0.949 | 0.934 |
 - All data |
0.974 | 0.775 | 0.966 | 0.942 |
| Average of errors | 9.32 | 59.22 | 17.01 | 18.51 |
| Standard deviation of errors | 10.22 | 166.38 | 31.05 | 41.55 |