Table 3. Performance results of models for each country.
| Dataset | Method | MAE | MSE | RMSE |
|---|---|---|---|---|
| Canada | Hybrid | 1,778.090 | 5,514,174.558 | 2,348.227 |
| Prophet | 2,692.760 | 16,970,198.845 | 4,119.490 | |
| BiLSTM | 2,024.409 | 7,131,390.874 | 2,670.466 | |
| deBiLSTM | 4,939.208 | 33,110,916.113 | 5,754.208 | |
| France | Hybrid | 1,536.671 | 4,611,178.316 | 2,147.365 |
| Prophet | 3,012.561 | 15,460,298.534 | 3,931.958 | |
| BiLSTM | 1,715.494 | 4,736,708.254 | 2,176.398 | |
| deBiLSTM | 6,313.654 | 47,940,856.736 | 6,923.933 | |
| Japan | Hybrid | 2,802.822 | 11,420,135.400 | 3,379.369 |
| Prophet | 4,921.811 | 31,072,199.315 | 5,574.244 | |
| BiLSTM | 7,470.529 | 84,741,633.077 | 9,205.521 | |
| deBiLSTM | 5,862.992 | 47,186,452.464 | 6,869.239 | |
| Mexico | Hybrid | 8,80.816 | 1,105,985.936 | 1,051.658 |
| Prophet | 1,029.039 | 1,589,788.345 | 1,260.868 | |
| BiLSTM | 881.306 | 1,224,851.574 | 1,106.730 | |
| deBiLSTM | 2,186.271 | 6,005,540.182 | 2,450.620 | |
| Brazil | Hybrid | 1,519.002 | 2,642,345.014 | 1,625.529 |
| Prophet | 2,733.089 | 8,786,595.659 | 2,964.219 | |
| BiLSTM | 903.928 | 1,200,980.218 | 1,095.892 | |
| deBiLSTM | 803.921 | 1,000,117.467 | 1,000.058 | |
| Turkey | Hybrid | 1,122.314 | 1,844,760.862 | 1,358.219 |
| Prophet | 706.916 | 916,967.034 | 957.583 | |
| BiLSTM | 1,792.026 | 5,655,776.258 | 2,378.187 | |
| deBiLSTM | 2,177.616 | 7,583,899.725 | 2,753.888 | |
| Italy | Hybrid | 845.159 | 1,225,318.038 | 1,106.940 |
| Prophet | 1,520.558 | 3,612,153.530 | 1,900.566 | |
| BiLSTM | 1,965.405 | 4,830,733.821 | 2,197.893 | |
| deBiLSTM | 989.882 | 2,667,179.095 | 1,633.150 |
Note: Bold text indicates best results.