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Classification accuracies of classifiers applied to extracted features by FFT.
| Subjects | KNN | LR | DT | LD | GNB | SVM |
|---|---|---|---|---|---|---|
| 1 | 0.97 | 0.99 | 0.99 | 0.98 | 0.97 | 0.99 |
| 2 | 0.92 | 0.97 | 0.85 | 0.97 | 0.71 | 0.98 |
| 3 | 0.70 | 0.77 | 0.73 | 0.75 | 0.71 | 0.82 |
| 4 | 0.88 | 0.97 | 0.84 | 0.92 | 0.89 | 0.94 |
| 5 | 0.99 | 1.00 | 0.97 | 0.99 | 0.63 | 1.00 |
| 6 | 1.00 | 1.00 | 0.97 | 0.99 | 0.99 | 1.00 |
| 7 | 1.00 | 1.00 | 0.99 | 1.00 | 0.98 | 0.98 |
| 8 | 0.96 | 1.00 | 1.00 | 1.00 | 0.99 | 0.99 |
| 9 | 0.99 | 0.99 | 0.97 | 0.99 | 0.90 | 0.99 |
| Average accuracy | 0.93 | 0.97 | 0.92 | 0.95 | 0.86 | 0.97 |
