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Table 5 Classification performance (Accuracy [%]) by using 10-fold cross validation (CV) sampling and holdout (90% training and 10% test percentage split) for HC vs AD, HC vs MCI, MCI vs AD, HC vs CASE, taking into account Wavelet (WT) and Fourier (FT) Coefficients as features

From: Combining EEG signal processing with supervised methods for Alzheimer’s patients classification

  Wavelet Fourier
  10-fold CV Holdout 10-fold CV Holdout
HC vs AD 76.4 71.4 80.6 85.7
HC vs MCI 93.3 83.3 83.3 83.3
MCI vs AD 66.3 88.9 66.7 77.2
HC vs CASE 81.7 81.8 84.4 90.9