Table 8. Performance of different feature sets.
Shown are the accuracy, recall and precision for the tuned XGBoost classifier with the “Top 13” Features described earlier. The hyperparameters are as described in Table 7.
Dataset | Accuracy | Recall | Precision |
---|---|---|---|
Train | 0.777 | 0.977 | 0.622 |
Test | 0.794 | 0.933 | 0.646 |