Journal of Healthcare Engineering / 2017 / Article / Tab 7

Research Article

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

Table 7

Run- and fold-wise classification performance of proposed approach over ADNI dataset.

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

Fold 194.4410010010094.4488.888910087.594.44100Average accuracy
92.659
Fold 210094.11710088.2382.3594.1181.2594.1194.4488.88
Fold 394.11794.11794.1188.8810082.3510010088.8888.23
Fold 494.11788.23588.8894.1110093.7594.11794.1110082.35
Fold 587.588.88888.8894.1188.2310093.7510087.594.44
Fold 610094.11787.588.8810076.4788.2377.7794.1194.44
Fold 787.594.11787.593.7510083.3310094.1182.3593.75
Fold 887.510010088.8810094.4410083.3387.594.11
Fold 994.44410094.4494.1188.8894.1110088.23588.88887.5
Fold 1094.44483.33383.3394.1182.3510088.8894.117100100
Fold-wise accuracy93.40693.69292.4692.51293.6290.74794.62491.331791.81392.37

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