Table 4.
Results of the NARX neural network-based algorithm.
| Continent | Country | NARX Neural Network-Based Algorithm | |||
|---|---|---|---|---|---|
| Root Mean Square Error (RMSE) | Spearman Correlation | Error Standard Deviation | |||
| Correlation Factor | p-Value | ||||
| Europe | Spain | 300 | 0.9687 | 0.000 | 902.74 |
| Italy | 71 | 0.9725 | 0.000 | 215.38 | |
| UK | 113 | 0.9770 | 0.000 | 343.13 | |
| Russia | 150 | 0.9748 | 0.000 | 420.57 | |
| France | 189 | 0.9753 | 0.000 | 587.11 | |
| North and South America | USA | 786 | 0.9882 | 0.000 | 23,792.25 |
| Brazil | 1146 | 0.9828 | 0.000 | 3463.52 | |
| Canada | 54 | 0. 9566 | 0.000 | 163.93 | |
| Peru | 148 | 0.9716 | 0.000 | 423.08 | |
| Ecuador | 18 | 0.9712 | 0.000 | 57.03 | |
| Asia | Turkey | 78 | 0.9753 | 0.000 | 251.77 |
| Iran | 56 | 0.9784 | 0.000 | 170.81 | |
| China | 14 | 0.9319 | 0.000 | 34.36 | |
| India | 180 | 0.9946 | 0.000 | 550.63 | |
| Saudi Arabia | 56 | 0.9720 | 0.000 | 171.79 | |
| Africa | Egypt | 20 | 0.9696 | 0.000 | 61.55 |
| South Africa | 79 | 0.9847 | 0.000 | 241.57 | |
| Morocco | 28 | 0.9461 | 0.000 | 85.74 | |
| Algeria | 7 | 0.9740 | 0.000 | 22.87 | |
| Nigeria | 19 | 0.9695 | 0.000 | 57.61 | |