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Performance evaluation results based on iForest and SMOTETomek for Schiller.
| Method | Precision (%) | Recall/Sensitivity (%) | Specificity (%) | F1 Score (%) | Accuracy (%) |
|---|---|---|---|---|---|
| SVM | 94.011 | 93.625 | 94.329 | 94.054 | 94.010 |
| MLP | 97.369 | 96.808 | 96.913 | 97.509 | 97.164 |
| Logistic Regression | 94.142 | 91.635 | 96.681 | 94.073 | 94.072 |
| Naïve Bayes | 93.085 | 92.000 | 95.172 | 93.866 | 93.866 |
| KNN | 94.762 | 94.707 | 91.344 | 93.072 | 93.072 |
| Proposed CCPM (Random Forest) | 98.463 | 98.907 | 98.074 | 98.499 | 98.495 |
