Research Article
Twin SVM-Based Classification of Alzheimer’s Disease Using Complex Dual-Tree Wavelet Principal Coefficients and LDA
Table 11
Run- and fold-wise classification performance of the DTCWT + PCA + TSVM method over OASIS 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 | 100 | 94.11 | 94.44 | 100 | 94.44 | 94.44 | 94.11 | 94.44 | 88.8 | 94.44 | Average accuracy 95.46 | Fold 2 | 100 | 100 | 88.23 | 94.44 | 94.44 | 100 | 94.11 | 94.44 | 100 | 94.44 | Fold 3 | 94.44 | 83.33 | 94.44 | 94.11 | 100 | 94.44 | 94.44 | 94.11 | 94.44 | 100 | Fold 4 | 94.44 | 100 | 94.44 | 94.11 | 94.44 | 88.88 | 100 | 100 | 100 | 88.88 | Fold 5 | 94.11 | 100 | 94.11 | 94.44 | 100 | 87.5 | 100 | 94.44 | 100 | 100 | Fold-wise accuracy | 96.60 | 95.49 | 93.13 | 95.42 | 96.66 | 93.05 | 96.53 | 95.49 | 96.66 | 95.55 |
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