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.

Folds	Runs	Run 1	Run 2	Run 3	Run 4	Run 5	Run 6	Run 7	Run 8	Run 9	Run 10
Fold 1		88.88	94.11	94.11	87.5	87.5	77.77	75	100	82.35	88.88	Average accuracy; 91.77
Fold 2		94.11	100	100	94.44	100	94.44	88.88	94.11	88.23	87.5
Fold 3		94.11	87.5	88.23	93.75	94.11	94.11	88.88	88.23	93.75	76.47
Fold 4		93.75	82.35	88.23	88.23	100	94.11	94.11	88.23	76.47	100
Fold 5		88.88	94.11	94.11	83.33	82.35	94.11	82.35	88.88	94.44	100
Fold 6		94.11	82.35	94.44	100	100	100	87.5	94.11	88.88	88.88
Fold 7		83.33	94.44	100	100	83.33	87.5	100	88.23	100	100
Fold 8		87.5	94.44	83.33	82.35	88.23	93.75	94.44	88.23	93.75	83.33
Fold 9		94.44	100	94.44	88.88	100	88.23	100	82.35	88.88	100
Fold 10		94.11	94.11	88.23	88.23	94.11	100	100	100	100	100
Fold-wise accuracy		91.32	92.34	92.51	90.67	92.96	92.40	91.11	91.24	90.67	92.50