MCI vs. AD classification on OASIS
5.5516AccuracyDBE
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| DBEexperiments=five repeated experiments2025.12 | 5.5516 | — | — | — | — | |
| KNN2026.06 | 0.838 | — | — | 0.449 | 45.6 | |
| RF2026.06 | 0.838 | — | — | 0.683 | 45.6 | |
| LR2026.06 | 0.784 | — | — | 0.565 | 53.8 | |
| CLCLSA2026.06 | 0.784 | — | — | 0.473 | 43.9 | |
| SVM2026.06 | 0.757 | — | — | 0.527 | 43.1 | |
| GRridge2026.06 | 0.757 | — | — | 0.516 | 43.1 | |
| ProMUSE2026.06 | 0.75 | — | — | 0.783 | 67.8 | |
| NN2026.06 | 0.73 | — | — | 0.672 | 56 | |
| BPLSDA2026.06 | 0.73 | — | — | 0.54 | 50.3 | |
| BSPLSDA2026.06 | 0.73 | — | — | 0.54 | 50.3 | |
| FedADAexperiments=five repeated experiments2025.12 | 0.6959 | — | 0.8136 | 0.5881 | — | |
| MMDynamic2026.06 | 0.676 | — | — | 0.586 | 47.1 | |
| DCP2026.06 | 0.676 | — | — | 0.688 | 40.3 | |
| TMC2026.06 | 0.649 | — | — | 0.629 | 39.3 | |
| GMU2026.06 | 0.595 | — | — | 0.489 | 42.7 | |
| MOGONET2026.06 | 0.514 | — | — | 0.634 | 49.5 | |
| CF2026.06 | 0.514 | — | — | 0.683 | 49.5 | |
| MLCLNet2026.06 | 0.432 | — | — | 0.575 | 41.7 |