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Table 4 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

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

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