Open Access
Table 8
Statistical indicators of XGBoost, SVM, and MLP algorithms for scenario 4 to predict CO2 emissions.
| Features | Algorithms | Statistical indicators | Results |
|---|---|---|---|
| ENERGY/VK | XGBoost | R 2 | 0.9886 |
| MAE | 0.0278 | ||
| MAPE | 0.0576 | ||
| MSE | 0.0011 | ||
| RMSE | 0.0333 | ||
| rRMSE | 3.4950 | ||
| MBE | −0.0010 | ||
| a20 | 0.9788 | ||
| SVM | R 2 | 0.9883 | |
| MAE | 0.0298 | ||
| MAPE | 0.0648 | ||
| MSE | 0.0011 | ||
| RMSE | 0.0338 | ||
| rRMSE | 12.2321 | ||
| MBE | 0.0072 | ||
| a20 | 0.8298 | ||
| MLP | R 2 | 0.9689 | |
| MAE | 0.0455 | ||
| MAPE | 0.1076 | ||
| MSE | 0.0030 | ||
| RMSE | 0.0552 | ||
| rRMSE | 14.6818 | ||
| MBE | 0.0057 | ||
| a20 | 0.7235 |
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