Table 3. Comparative performance analysis through 50 times cross-validations.
Bold values show the best performance.
| Performance metrics | Model | Mean | Standard deviation | Best result |
|---|---|---|---|---|
| F1-Score (%) | XGBoost | 95.70 | 2.1 | 98.82 |
| Random Forest | 82.40 | 4.2 | 91.31 | |
| Decision Tree | 69.70 | 5.5 | 83.63 | |
| Support Vector | 93.52 | 2.4 | 97.78 | |
| Naïve Bayes | 94.46 | 1.9 | 98.18 | |
| Logistic Regression | 94.75 | 1.8 | 97.50 | |
| Accuracy (%) | XGBoost | 94.73 | 2.5 | 98.18 |
| Random Forest | 94.73 | 2.5 | 98.18 | |
| Decision Tree | 63.01 | 5.7 | 80.36 | |
| Support Vector | 92.16 | 2.5 | 98.00 | |
| Naïve Bayes | 93.46 | 2.0 | 98.00 | |
| Logistic Regression | 93.63 | 1.9 | 96.36 | |
| AUC Score (%) | XGBoost | 98.78 | 0.8 | 100.00 |
| Random Forest | 84.99 | 4.9 | 93.59 | |
| Decision Tree | 59.95 | 6.0 | 77.96 | |
| Naïve Bayes | 97.92 | 1.4 | 99.67 | |
| Logistic Regression | 98.68 | 0.7 | 99.67 |