Table 9.
Model performance using five common features selected from RFI-13 and RFE-13
| Performance model | Testing accuracy* (%) | AUPRC* | F1 score* | Training time (s)* |
|---|---|---|---|---|
| RF | 79.22 | 0.8462 | 0.7394 | 0.7062 |
| ANN | 67.43 | 0.7012 | 0.5245 | 1.7289 |
| SVM | 71.00 | 0.6572 | 0.6433 | 0.0894 |
| LR | 67.36 | 0.7123 | 0.5124 | 0.0848 |
| KNN | 74.21 | 0.7373 | 0.7127 | 0.0969 |
| DT | 71.93 | 0.7494 | 0.6503 | 0.0780 |
Bolded text indicated the best results achieved. Best model was selected based on AUPRC
*Average of AUPRC, F1 score, testing accuracy, and training time from 10 times runs of 5-CV