Table 5.
Accuracy, precision, recall, and F1 scores for the validation set, ranked by the F1 score.
| Rank | Model | Accuracy | Precision | Recall | F1 |
| 1 | LASSOa | 0.889 | 0.528 | 0.604 | 0.563 |
| 2 | Decision tree | 0.890 | 0.538 | 0.536 | 0.537 |
| 3 | GBMb | 0.865 | 0.453 | 0.657 | 0.536 |
| 4 | Random forest | 0.894 | 0.556 | 0.506 | 0.530 |
| 5 | Logistic regression | 0.886 | 0.344 | 0.698 | 0.461 |
| 6 | Ridge | 0.895 | 0.593 | 0.370 | 0.456 |
aLASSO: least absolute shrinkage and selection operator.
bGBM: gradient boosting machine.