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Classification performance [%] by using M=48 Wavelet Coefficients as features and a leave-one-out sampling with 72, 60, 86, 109 folds for HC vs AD, HC vs MCI, MCI vs AD, HC vs CASE, respectively
| HC vs AD | HC vs MCI | MCI vs AD | HC vs CASE | |
|---|---|---|---|---|
| Accuracy | 83.3 | 91.7 | 79.1 | 73.4 |
| Precision | 83.3 | 91.8 | 79.3 | 74.7 |
| Sensitivity | 83.3 | 91.7 | 79.1 | 73.4 |
| Specificity | 78.0 | 91.5 | 79.1 | 51.5 |
| F-measure | 83.3 | 91.7 | 79.1 | 74.0 |
