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.

Folds	Runs	Run 1	Run 2	Run 3	Run 4	Run 5	Run 6	Run 7	Run 8	Run 9	Run 10
Fold 1		94.44	100	100	100	94.44	88.8889	100	87.5	94.44	100	Average accuracy; 92.659
Fold 2		100	94.117	100	88.23	82.35	94.11	81.25	94.11	94.44	88.88
Fold 3		94.117	94.117	94.11	88.88	100	82.35	100	100	88.88	88.23
Fold 4		94.117	88.235	88.88	94.11	100	93.75	94.117	94.11	100	82.35
Fold 5		87.5	88.888	88.88	94.11	88.23	100	93.75	100	87.5	94.44
Fold 6		100	94.117	87.5	88.88	100	76.47	88.23	77.77	94.11	94.44
Fold 7		87.5	94.117	87.5	93.75	100	83.33	100	94.11	82.35	93.75
Fold 8		87.5	100	100	88.88	100	94.44	100	83.33	87.5	94.11
Fold 9		94.444	100	94.44	94.11	88.88	94.11	100	88.235	88.888	87.5
Fold 10		94.444	83.333	83.33	94.11	82.35	100	88.88	94.117	100	100
Fold-wise accuracy		93.406	93.692	92.46	92.512	93.62	90.747	94.624	91.3317	91.813	92.37