Table 1. Performance of ML Approaches: Values of Balanced Accuracy, Precision and Recall, False Positive Rate, and False Negative Rate for All Three ML Models Tested in the Paper.
| measure | LR | SVM | RF |
|---|---|---|---|
| balanced accuracy | 0.88 | 0.89 | 0.74 |
| precision (positive predictive value) | 0.92 | 0.96 | 0.81 |
| recall (true positive rate) | 0.88 | 0.85 | 0.85 |
| false positive rate | 0.12 | 0.07 | 0.37 |
| false negative rate | 0.12 | 0.15 | 0.15 |