Table 3.
Training, validation accuracy, and precision of RF, SVM, and GNN models.
| Model | Accuracy | Precision | Recall | F1 | ||||
|---|---|---|---|---|---|---|---|---|
| Train | Valid | Train | Valid | Train | Valid | Train | Valid | |
| RF | 0.955 | 0.877 | 0.993 | 0.928 | 0.914 | 0.810 | 0.952 | 0.865 |
| SVM | 0.925 | 0.866 | 0.956 | 0.890 | 0.887 | 0.829 | 0.920 | 0.857 |
| GNN | 0.962 | 0.870 | 0.969 | 0.871 | 0.956 | 0.872 | 0.962 | 0.870 |