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Overall performances of the proposed methods for the unbalanced dataset.
| Classifier | Sensitivity (%) | Specificity (%) | Accuracy (%) | Positive predictive value (%) | F1 score (%) |
|---|---|---|---|---|---|
| GoogLeNet | 93.81 | 97.02 | 95.09 | 97.95 | 95.83 |
| SVM | 99.02 | 98.58 | 98.84 | 99.06 | 99.04 |
| KNN | 98.30 | 97.60 | 98.02 | 98.42 | 98.36 |
| DT | 98.55 | 97.62 | 98.18 | 98.43 | 98.49 |
| LDA | 99.13 | 98.18 | 98.75 | 98.80 | 98.97 |
Bold values represent highest performance.
