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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