Disease Classification on ADNI CN vs AD (50-50 train test)
90.9AccuracyARMA
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| ARMATrain-Test Split=50-50, Cross-Validation=20-fold, Reconstruction=true2026.01 | 90.9 | 88.8 | 88.7 | 88.7 | 96.7 | |
| ChebNetTrain-Test Split=50-50, Cross-Validation=20-fold, Reconstruction=true2026.01 | 90.3 | 86.9 | 89.3 | 88 | 95.8 | |
| GATTrain-Test Split=50-50, Cross-Validation=20-fold, Reconstruction=true2026.01 | 89.6 | 86.1 | 88.6 | 87.2 | 94.1 | |
| GCNTrain-Test Split=50-50, Cross-Validation=20-fold, Reconstruction=true2026.01 | 80.4 | 80.2 | 74.1 | 75.6 | 87.2 | |
| MLPClassifierTrain-Test Split=50-50, Cross-Validation=20-fold2026.01 | 80.2 | 76.7 | 73.2 | 74.7 | 86.1 | |
| SVCTrain-Test Split=50-50, Cross-Validation=20-fold2026.01 | 79.6 | 77.9 | 69 | 72.9 | 86.3 | |
| ARMATrain-Test Split=50-50, Cross-Validation=20-fold, Reconstruction=false2026.01 | 79.3 | 73.1 | 77.1 | 74.9 | 86.9 | |
| XGBoostTrain-Test Split=50-50, Cross-Validation=20-fold2026.01 | 78.4 | 76.8 | 66.4 | 71 | 84 | |
| Random ForestTrain-Test Split=50-50, Cross-Validation=20-fold2026.01 | 78.2 | 78.8 | 62.9 | 69.7 | 86.3 | |
| GATTrain-Test Split=50-50, Cross-Validation=20-fold, Reconstruction=false2026.01 | 77.5 | 71.4 | 74.4 | 72.6 | 84.9 | |
| ChebNetTrain-Test Split=50-50, Cross-Validation=20-fold, Reconstruction=false2026.01 | 76.3 | 68.2 | 77 | 72.3 | 84.2 | |
| AE-GCNTrain-Test Split=50-50, Cross-Validation=20-fold2026.01 | 72.6 | 78.5 | 43.9 | 56.1 | 82.6 | |
| GCNTrain-Test Split=50-50, Cross-Validation=20-fold, Reconstruction=false2026.01 | 72.2 | 70.5 | 65.4 | 64.4 | 79.6 |