NC vs. AD classification on OASIS
93.4AccuracyProMUSE
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| ProMUSE2026.06 | 93.4 | — | — | 0.713 | 75.5 | |
| TMC2026.06 | 92.2 | — | — | 0.866 | 72.9 | |
| NN2026.06 | 91.8 | — | — | 0.784 | 70 | |
| BPLSDA2026.06 | 91.8 | — | — | 0.79 | 73.3 | |
| SVM2026.06 | 91.5 | — | — | 0.753 | 72.7 | |
| MOGONET2026.06 | 91.5 | — | — | 0.885 | 75.2 | |
| BSPLSDA2026.06 | 91.2 | — | — | 0.893 | 66.2 | |
| MLCLNet2026.06 | 91.2 | — | — | 0.837 | 73 | |
| Vision TransformerStudy=[14], Model=Vision Transformer2026.02 | 91.18 | — | — | — | — | |
| CF2026.06 | 90.8 | — | — | 0.88 | 69.5 | |
| DCP2026.06 | 90.8 | — | — | 0.88 | 72.5 | |
| KNN2026.06 | 90.2 | — | — | 0.676 | 59.9 | |
| GRridge2026.06 | 90.2 | — | — | 0.698 | 70.5 | |
| MMDynamic2026.06 | 90.2 | — | — | 0.842 | 72.3 | |
| RF2026.06 | 89.9 | — | — | 0.883 | 64.3 | |
| GMU2026.06 | 89.9 | — | — | 0.792 | 72.6 | |
| CLCLSA2026.06 | 89.5 | — | — | 0.856 | 71.3 | |
| LR2026.06 | 89.2 | — | — | 0.798 | 70 | |
| UG-FedDA2025.12 | 78.76 | — | 78.03 | — | — | |
| DBE2025.12 | — | — | 62.32 | — | — | |
| FACT2025.12 | — | — | 50.18 | — | — | |
| FedADA2025.12 | — | — | 45.56 | — | — |