Research Article
A CEEMDAN and XGBOOST-Based Approach to Forecast Crude Oil Prices
Table 5
The RMSE, MAE, and Dstat by the models with EEMD or CEEMDAN.
| Horizon | Model | RMSE | MAE | Dstat |
| 1 | CEEMDAN-XGBOOST | 0.4151 | 0.3023 | 0.8783 | EEMD-XGBOOST | 0.9941 | 0.7685 | 0.7109 | CEEMDAN-SVR | 0.8477 | 0.7594 | 0.9054 | EEMD-SVR | 1.1796 | 0.9879 | 0.8727 | CEEMDAN-FNN | 1.2574 | 1.0118 | 0.7597 | EEMD-FNN | 2.6835 | 1.9932 | 0.7361 |
| 3 | CEEMDAN-XGBOOST | 0.8373 | 0.6187 | 0.6914 | EEMD-XGBOOST | 1.4007 | 1.0876 | 0.6320 | CEEMDAN-SVR | 1.2399 | 1.0156 | 0.7092 | EEMD-SVR | 1.2366 | 1.0275 | 0.7092 | CEEMDAN-FNN | 1.2520 | 0.9662 | 0.7061 | EEMD-FNN | 1.2046 | 0.8637 | 0.6959 |
| 6 | CEEMDAN-XGBOOST | 1.2882 | 0.9831 | 0.6196 | EEMD-XGBOOST | 1.7719 | 1.3765 | 0.6165 | CEEMDAN-SVR | 1.3453 | 1.0296 | 0.6683 | EEMD-SVR | 1.3730 | 1.1170 | 0.6485 | CEEMDAN-FNN | 1.8024 | 1.3647 | 0.6422 | EEMD-FNN | 2.7786 | 2.0495 | 0.6337 |
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