Table 5 Accuracy of each integrated learning model.
RF | SPY-RF | Stacking-RF | SPY-Stacking-RF | XGBoost | SPY-XGBoost | Stacking-XGBoost | SPY-Stacking-XGBoost | |
|---|---|---|---|---|---|---|---|---|
Accurancy | 0.826 | 0.906 | 0.731 | 0.783 | 0.739 | 0.92 | 0.804 | 0.89 |
Precision | 0.68 | 0.944 | 0.727 | 0.700 | 0.633 | 0.885 | 0.696 | 0.875 |
Recall | 1.000 | 0.895 | 0.667 | 0.778 | 0.950 | 0.905 | 0.889 | 0.91 |
F1 Score | 0.81 | 0.919 | 0.696 | 0.737 | 0.760 | 0.915 | 0.781 | 0.909 |