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Figures of merit for different algorithms applied to classify case (fibromyalgia) and controls in the test set.
| Algorithm | Accuracy (%) | Sensitivity (%) | Specificity (%) |
|---|---|---|---|
| PCA-LDA | 60.5 | 68.4 | 52.6 |
| PCA-QDA | 65.8 | 73.7 | 57.9 |
| PCA-SVM | 68.4 | 78.9 | 57.9 |
| SPA-LDA | 63.1 | 57.9 | 68.4 |
| SPA-QDA | 63.2 | 68.4 | 57.9 |
| SPA-SVM | 70.1 | 73.7 | 68.4 |
| GA-LDA | 84.2 | 89.5 | 79.0 |
| GA-QDA | 60.5 | 47.4 | 73.7 |
| GA-SVM | 57.9 | 57.9 | 57.9 |
The best algorithm (GA-LDA) is highlighted in bold.
