Research Article
COVID-19 Propagation Prediction Model Using Improved Grey Wolf Optimization Algorithms in Combination with XGBoost and Bagging-Integrated Learning
Table 6
Single model prediction accuracy comparison.
| Algorithm name | RMSE | MAE | MAPE |
| XGBoost | 3965.725 | 1469.406 | 9.785 | GBDT | 3095.005 | 1356.619 | 10.753 | SVR | 8591.444 | 7199.914 | 223.206 | MLP | 8551.856 | 6216.566 | 86.296 | LR | 4683.808 | 3406.161 | 116.283 | LSTM | 4854.758 | 3522.867 | 12.967 | RNN | 6506.414 | 4936.082 | 32.877 | CNN | 5862.456 | 4442.039 | 27.082 |
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Bold font indicates the best prediction accuracy among all models.
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