Dementia Classification on NIFD (90-10 train-test)
98.3AccuracyGAT (Recon)
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| GAT (Recon)Variant=Reconstruction2026.01 | 98.3 | 99 | 96 | 97.3 | 99.2 | |
| ChebNet (Recon)Variant=Reconstruction2026.01 | 98 | 98.2 | 99 | 98.5 | 100 | |
| ARMA (Recon)Variant=Reconstruction2026.01 | 97.7 | 97.8 | 99 | 98.3 | 100 | |
| GCN (Recon)Variant=Reconstruction2026.01 | 84 | 91.8 | 84.6 | 86.9 | 92.9 | |
| Random Forest2026.01 | 77 | 77.8 | 92.5 | 84.3 | 82 | |
| AE-GCN2026.01 | 73 | 69.2 | 29 | 39.4 | 80.8 | |
| XGBoost2026.01 | 72.7 | 77.9 | 83 | 80 | 80.7 | |
| SVC2026.01 | 72 | 78.5 | 81 | 79.4 | 78.9 | |
| MLPClassifier2026.01 | 71.7 | 81.9 | 80.3 | 77.6 | 80.3 | |
| GAT2026.01 | 69.7 | 79.3 | 75 | 76.5 | 75.9 | |
| GCN2026.01 | 68 | 78.2 | 74.5 | 75.2 | 77.4 | |
| ARMA2026.01 | 62.3 | 81.5 | 57 | 66 | 74.3 | |
| ChebNet2026.01 | 53.7 | 74.7 | 46 | 55.8 | 68.9 |