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Performance measures (%) and SD for the three SVM classifiers trained with the second fusion process.
| Model | Accuracy | Sensitivity | Specificity | Precision | F1-score |
|---|---|---|---|---|---|
| L-SVM | 99.00 (0.074) | 99.28 (0.087) | 98.74 (0.108) | 98.75 (0.109) | 99.00 (0.074) |
| Q-SVM | 99.54 (0.06) | 99.45 (0.031) | 99.63 (0.13) | 99.63 (0.13) | 99.54 (0.06) |
| C-SVM | 99.60 (0.016) | 99.47 (0.039) | 99.72 (0.044) | 99.72 (0.039) | 99.60 (0.016) |
C-SVM: cubic SVM; L-SVM: linear SVM; SVM: support vector machine; Q-SVM: quadratic SVM.
