Open Access
Table 6
Statistical indicators of XGBoost, SVM, and MLP algorithms for scenario 2 to predict CO2 emissions.
| Features | Algorithms | Statistical indicators | Results |
|---|---|---|---|
| ENERGY/VK/POP/Y | XGBoost | R 2 | 0.9722 |
| MAE | 0.0383 | ||
| MAPE | 0.0953 | ||
| MSE | 0.0027 | ||
| RMSE | 0.0522 | ||
| rRMSE | 7.1228 | ||
| MBE | 0.0045 | ||
| a20 | 0.8724 | ||
| SVM | R 2 | 0.9561 | |
| MAE | 0.0621 | ||
| MAPE | 0.2101 | ||
| MSE | 0.0043 | ||
| RMSE | 0.0656 | ||
| rRMSE | 14.2356 | ||
| MBE | 0.0335 | ||
| a20 | 0.7022 | ||
| MLP | R 2 | 0.9348 | |
| MAE | 0.0711 | ||
| MAPE | 0.2171 | ||
| MSE | 0.0064 | ||
| RMSE | 0.0801 | ||
| rRMSE | 18.5797 | ||
| MBE | 0.0519 | ||
| a20 | 0.5320 |
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