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The accuracy (ACC) and the area under ROC curve (AUC) results of AD diagnosis on the ADNI database, with comparison to some baseline methods. Bold indicates best achieved results.
| JFSS + RLDA | JFSS + LDA | JFSS + SVM | RPCA + LDA | RPCA + SVM | RLDA | LDA | SVM | ||
|---|---|---|---|---|---|---|---|---|---|
| AD/NC | ACC | 91.5 | 89.4 | 89.0 | 89.5 | 86.1 | 87.8 | 82.7 | 85.4 |
| AUC | 0.94 | 0.90 | 0.90 | 0.92 | 0.88 | 0.90 | 0.84 | 0.85 | |
| MCI/NC | ACC | 81.9 | 79.1 | 77.3 | 78.1 | 80.1 | 80.3 | 66.1 | 74.1 |
| AUC | 0.83 | 0.80 | 0.75 | 0.72 | 0.78 | 0.82 | 0.69 | 0.74 | |
