Research Article
Selection of Machine Learning Models for Oil Price Forecasting: Based on the Dual Attributes of Oil
Table 7
Errors of benchmark model.
| ā | FWTI | SWTI | MAE | RMSE | MAE | RMSE |
| RNN | 0.0844 | 0.0982 | 0.0845 | 0.0969 | LSTM | 0.0905 | 0.1118 | 0.0956 | 0.1157 | BP | 0.1247 | 0.1509 | 0.1499 | 0.1734 | SVM | 0.2784 | 0.3496 | 0.2807 | 0.3529 | ARIMA | 6.9717 | 8.3986 | 8.0444 | 6.6726 |
|
|