Classification on ADNI CN vs AD (70-30 split)
95.2AccuracyARMA (Recon)
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| ARMA (Recon)split=70-30, validation=20-fold cross-validation2026.01 | 95.2 | 93.5 | 95 | 94.2 | 0.987 | |
| ChebNet (Recon)split=70-30, validation=20-fold cross-validation2026.01 | 94.3 | 92 | 94.4 | 93.1 | 0.983 | |
| GAT (Recon)split=70-30, validation=20-fold cross-validation2026.01 | 93.5 | 91.7 | 92.4 | 92 | 0.962 | |
| GCN (Recon)split=70-30, validation=20-fold cross-validation2026.01 | 83.1 | 85.9 | 72 | 77 | 0.895 | |
| XGBoostsplit=70-30, validation=20-fold cross-validation2026.01 | 81 | 81.3 | 70 | 74.8 | 0.848 | |
| ARMAsplit=70-30, validation=20-fold cross-validation2026.01 | 80.2 | 74.7 | 77.4 | 75.8 | 0.87 | |
| MLPClassifiersplit=70-30, validation=20-fold cross-validation2026.01 | 79.6 | 74.8 | 74.2 | 74.4 | 0.857 | |
| SVCsplit=70-30, validation=20-fold cross-validation2026.01 | 79.5 | 78.2 | 67.8 | 72.5 | 0.854 | |
| Random Forestsplit=70-30, validation=20-fold cross-validation2026.01 | 78.6 | 79 | 63.7 | 70.4 | 0.854 | |
| GATsplit=70-30, validation=20-fold cross-validation2026.01 | 76.9 | 70.3 | 75.6 | 72.5 | 0.841 | |
| ChebNetsplit=70-30, validation=20-fold cross-validation2026.01 | 75.6 | 67.7 | 75.9 | 71.4 | 0.832 | |
| AE-GCNsplit=70-30, validation=20-fold cross-validation2026.01 | 73.2 | 80.1 | 44.8 | 57.2 | 0.831 | |
| GCNsplit=70-30, validation=20-fold cross-validation2026.01 | 71.3 | 73.5 | 61.7 | 62.7 | 0.821 |