Journal of Healthcare Engineering / 2017 / Article / Tab 8

Research Article

Twin SVM-Based Classification of Alzheimer’s Disease Using Complex Dual-Tree Wavelet Principal Coefficients and LDA

Table 8

Run- and fold-wise classification performance of the DTCWT + PCA + TSVM method over ADNI dataset.

FoldsRunsRun 1Run 2Run 3Run 4Run 5Run 6Run 7Run 8Run 9Run 10

Fold 188.8894.1194.1187.587.577.777510082.3588.88Average accuracy
91.77
Fold 294.1110010094.4410094.4488.8894.1188.2387.5
Fold 394.1187.588.2393.7594.1194.1188.8888.2393.7576.47
Fold 493.7582.3588.2388.2310094.1194.1188.2376.47100
Fold 588.8894.1194.1183.3382.3594.1182.3588.8894.44100
Fold 694.1182.3594.4410010010087.594.1188.8888.88
Fold 783.3394.4410010083.3387.510088.23100100
Fold 887.594.4483.3382.3588.2393.7594.4488.2393.7583.33
Fold 994.4410094.4488.8810088.2310082.3588.88100
Fold 1094.1194.1188.2388.2394.11100100100100100
Fold-wise accuracy91.3292.3492.5190.6792.9692.4091.1191.2490.6792.50

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