Disease Classification on ADNI CN vs MCI 50-50 (train test)
90.4AccuracyARMA
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| ARMATrain-Test Split=50-50, Cross-Validation=20-fold, Reconstruction=true2026.01 | 90.4 | 91.1 | 91.9 | 91.4 | 95.9 | |
| ChebNetTrain-Test Split=50-50, Cross-Validation=20-fold, Reconstruction=true2026.01 | 89.9 | 91.2 | 90.7 | 90.9 | 95.4 | |
| GCNTrain-Test Split=50-50, Cross-Validation=20-fold, Reconstruction=true2026.01 | 88.7 | 90.3 | 89.5 | 89.8 | 93.5 | |
| GATTrain-Test Split=50-50, Cross-Validation=20-fold, Reconstruction=true2026.01 | 88.6 | 90.5 | 89 | 89.6 | 93.4 | |
| XGBoostTrain-Test Split=50-50, Cross-Validation=20-fold2026.01 | 80.7 | 82 | 84.1 | 82.9 | 87.4 | |
| Random ForestTrain-Test Split=50-50, Cross-Validation=20-fold2026.01 | 80.4 | 82.3 | 83 | 82.5 | 88.5 | |
| ARMATrain-Test Split=50-50, Cross-Validation=20-fold, Reconstruction=false2026.01 | 80 | 81.9 | 82.2 | 82 | 86.8 | |
| SVCTrain-Test Split=50-50, Cross-Validation=20-fold2026.01 | 79.6 | 81.9 | 81.6 | 81.6 | 86.2 | |
| MLPClassifierTrain-Test Split=50-50, Cross-Validation=20-fold2026.01 | 79.5 | 80.8 | 83.1 | 81.8 | 86.2 | |
| AE-GCNTrain-Test Split=50-50, Cross-Validation=20-fold2026.01 | 79.3 | 83.9 | 80.3 | 81.4 | 87 | |
| GCNTrain-Test Split=50-50, Cross-Validation=20-fold, Reconstruction=false2026.01 | 75.4 | 76.9 | 80.1 | 78.3 | 82.2 | |
| ChebNetTrain-Test Split=50-50, Cross-Validation=20-fold, Reconstruction=false2026.01 | 74.8 | 78.5 | 75.3 | 76.8 | 82.6 | |
| GATTrain-Test Split=50-50, Cross-Validation=20-fold, Reconstruction=false2026.01 | 73 | 75.3 | 78.7 | 76 | 80.7 |