CN vs MCI Classification on ADNI (90-10 train-test)
98.3AccuracyARMA (Recon)
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| ARMA (Recon)Variant=Reconstruction2026.01 | 98.3 | 98.9 | 98.2 | 98.5 | 99.7 | |
| ChebNet (Recon)Variant=Reconstruction2026.01 | 97.8 | 98.4 | 97.9 | 98.1 | 99.5 | |
| GCN (Recon)Variant=Reconstruction2026.01 | 97.5 | 97.5 | 98.2 | 97.8 | 99.3 | |
| GAT (Recon)Variant=Reconstruction2026.01 | 95.5 | 97.6 | 94.4 | 95.7 | 98.4 | |
| Random Forest2026.01 | 81.5 | 85.8 | 82.1 | 83.3 | 91.3 | |
| XGBoost2026.01 | 81.3 | 84.9 | 82.9 | 83.5 | 90.6 | |
| MLPClassifier2026.01 | 81.3 | 83.6 | 84.4 | 83.7 | 88.9 | |
| AE-GCN2026.01 | 80.8 | 84.8 | 81.5 | 82.6 | 88.6 | |
| SVC2026.01 | 80.7 | 85.5 | 80.3 | 82.4 | 87.7 | |
| ARMA2026.01 | 79.3 | 82.7 | 81.2 | 81.4 | 86.1 | |
| GAT2026.01 | 77.7 | 78.7 | 82.6 | 80.4 | 84.9 | |
| GCN2026.01 | 74.7 | 78 | 77.7 | 77.4 | 81.2 | |
| ChebNet2026.01 | 73.3 | 77.6 | 75.3 | 75.9 | 80.4 |