Table 3 Classification performance [%] by using M=16 Fourier 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
From: Combining EEG signal processing with supervised methods for Alzheimer’s patients classification
HC vs AD | HC vs MCI | MCI vs AD | HC vs CASE | |
|---|---|---|---|---|
Accuracy | 72.2 | 71.7 | 80.2 | 74.7 |
Precision | 71.1 | 78.9 | 80.2 | 74.0 |
Sensitivity | 72.2 | 71.7 | 80.2 | 74.7 |
Specificity | 59.0 | 79.0 | 78.5 | 46.3 |
F-measure | 71.4 | 71.8 | 80.1 | 74.7 |