Classification on ADNI CN vs MCI (70-30 split)
93.9AccuracyARMA (Recon)
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| ARMA (Recon)split=70-30, validation=20-fold cross-validation2026.01 | 93.9 | 94.6 | 94.5 | 94.5 | 0.983 | |
| GCN (Recon)split=70-30, validation=20-fold cross-validation2026.01 | 93.2 | 95.3 | 92.7 | 93.9 | 0.965 | |
| ChebNet (Recon)split=70-30, validation=20-fold cross-validation2026.01 | 93.1 | 93.7 | 94 | 93.8 | 0.978 | |
| GAT (Recon)split=70-30, validation=20-fold cross-validation2026.01 | 92 | 93.1 | 92.6 | 92.7 | 0.959 | |
| Random Forestsplit=70-30, validation=20-fold cross-validation2026.01 | 81.5 | 83.4 | 83.5 | 83.4 | 0.893 | |
| XGBoostsplit=70-30, validation=20-fold cross-validation2026.01 | 80.3 | 82.3 | 82.5 | 82.2 | 0.882 | |
| MLPClassifiersplit=70-30, validation=20-fold cross-validation2026.01 | 80.3 | 81.6 | 83.8 | 82.6 | 0.868 | |
| ARMAsplit=70-30, validation=20-fold cross-validation2026.01 | 80.3 | 82.4 | 82.4 | 82.3 | 0.875 | |
| SVCsplit=70-30, validation=20-fold cross-validation2026.01 | 80.1 | 82.4 | 81.8 | 82 | 0.864 | |
| AE-GCNsplit=70-30, validation=20-fold cross-validation2026.01 | 79.3 | 83.5 | 78.7 | 80.9 | 0.866 | |
| GATsplit=70-30, validation=20-fold cross-validation2026.01 | 77.3 | 79.2 | 80.4 | 79.7 | 0.848 | |
| ChebNetsplit=70-30, validation=20-fold cross-validation2026.01 | 75.7 | 78.4 | 78 | 78.1 | 0.825 | |
| GCNsplit=70-30, validation=20-fold cross-validation2026.01 | 75.1 | 77.6 | 78.1 | 77.6 | 0.818 |