Table 4. Summary of statistical indicators for the developed ANN model obtained from a 4-9-9-4 architecture .
| Response | Statistical indicator | Training set | Testing set |
| Measures | Values | Values | |
| Y 1 | R 2 | 0.9731 | 0.9994 |
| RMSE | 20.3926 | 1.3689 | |
| Mean absolute deviation | 7.8443 | 0.7518 | |
| -Log-likelihood | 106.4187 | 10.3981 | |
| Error sum of squares | 9980.6204 | 11.2448 | |
| Sum frequency | 24.0000 | 6.0000 | |
| Y 2 | R 2 | 0.9448 | 0.9557 |
| RMSE | 0.0187 | 0.0159 | |
| Mean absolute deviation | 0.0137 | 0.0112 | |
| -Log-likelihood | -61.4794 | -16.3259 | |
| Error sum of squares | 0.0084 | 0.0015 | |
| Sum frequency | 24.0000 | 6.0000 | |
| Y 3 | R 2 | 0.9114 | 0.9819 |
| RMSE | 0.7047 | 0.3213 | |
| Mean absolute deviation | 0.4319 | 0.2997 | |
| -Log-likelihood | 25.6564 | 1.7013 | |
| Error sum of squares | 11.9199 | 0.6194 | |
| Sum frequency | 24.0000 | 6.0000 | |
| Y 4 | R 2 | 0.8257 | 0.9987 |
| RMSE | 3.9761 | 0.4609 | |
| Mean absolute deviation | 1.8689 | 0.2314 | |
| -Log-likelihood | 67.1818 | 3.8659 | |
| Error sum of squares | 379.4265 | 1.2744 | |
| Sum frequency | 24.0000 | 6.0000 | |
| Summary | Generalized R2 | 1.0000 | 1.0000 |
| -Log-likelihood | 193.8338 | 8.2782 |