Open Access
Table 7
Statistical indicators of XGBoost, SVM, and MLP algorithms for scenario 3 to predict CO2 emissions.
| Features | Algorithms | Statistical indicators | Results |
|---|---|---|---|
| ENERGY/VK/POP | XGBoost | R 2 | 0.9862 |
| MAE | 0.0259 | ||
| MAPE | 0.0588 | ||
| MSE | 0.0013 | ||
| RMSE | 0.0367 | ||
| rRMSE | 6.0759 | ||
| MBE | −0.0002 | ||
| a20 | 0.8937 | ||
| SVM | R 2 | 0.9614 | |
| MAE | 0.0569 | ||
| MAPE | 0.2009 | ||
| MSE | 0.0038 | ||
| RMSE | 0.0616 | ||
| rRMSE | 14.0604 | ||
| MBE | 0.0329 | ||
| a20 | 0.6596 | ||
| MLP | R 2 | 0.9367 | |
| MAE | 0.0661 | ||
| MAPE | 0.1606 | ||
| MSE | 0.0062 | ||
| RMSE | 0.0789 | ||
| rRMSE | 15.5542 | ||
| MBE | 0.0013 | ||
| a20 | 0.7235 |
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