Classification on UKB
68.4F1 ScoreXGBoost
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| XGBoostTrain Size=1000, Pos:Neg=2:12026.06 | 68.4 | 59.6 | 87.6 | 31.6 | — | |
| MLPTrain Size=1000, Pos:Neg=2:12026.06 | 67.6 | 54.4 | 95.1 | 13.7 | — | |
| XGBoostTrain Size=1000, Pos:Neg=5:12026.06 | 67.6 | 52.6 | 98.9 | 6.4 | — | |
| Logistic RegressionTrain Size=1000, Pos:Neg=2:12026.06 | 67.1 | 56.8 | 88.1 | 25.6 | — | |
| XGBoostTrain Size=1000, Pos:Neg=10:12026.06 | 66.9 | 50.7 | 99.5 | 1.8 | — | |
| MLPTrain Size=1000, Pos:Neg=50:12026.06 | 66.7 | 50 | 100 | 0 | — | |
| MLPTrain Size=1000, Pos:Neg=10:12026.06 | 66.7 | 50 | 100 | 0 | — | |
| MLPTrain Size=1000, Pos:Neg=5:12026.06 | 66.7 | 50.1 | 99.8 | 0.4 | — | |
| XGBoostTrain Size=1000, Pos:Neg=50:12026.06 | 66.7 | 50 | 100 | 0 | — | |
| Logistic RegressionTrain Size=1000, Pos:Neg=50:12026.06 | 66.6 | 50 | 99.9 | 0.1 | — | |
| Logistic RegressionTrain Size=1000, Pos:Neg=10:12026.06 | 66.6 | 50.1 | 99.6 | 0.6 | — | |
| Logistic RegressionTrain Size=1000, Pos:Neg=5:12026.06 | 66.6 | 50.8 | 98.3 | 3.2 | — | |
| Decision TreeTrain Size=1000, Pos:Neg=50:12026.06 | 66.3 | 50.9 | 96.7 | 5.1 | — | |
| Decision TreeTrain Size=1000, Pos:Neg=10:12026.06 | 64.8 | 51.6 | 89 | 14.2 | — | |
| Decision TreeTrain Size=1000, Pos:Neg=5:12026.06 | 63.5 | 52.8 | 82.3 | 23.4 | — | |
| MLPTrain Size=30002026.06 | 63.3 | 63.3 | 63.2 | 63.5 | — | |
| XGBoostTrain Size=1000, Pos:Neg=1:12026.06 | 62.6 | 63.1 | 61.7 | 64.5 | — | |
| Logistic RegressionTrain Size=30002026.06 | 62.5 | 63.3 | 61.3 | 65.2 | — | |
| Logistic RegressionTrain Size=10002026.06 | 61.9 | 61.9 | 62.1 | 61.6 | — | |
| Decision TreeTrain Size=1000, Pos:Neg=2:12026.06 | 61.3 | 56.4 | 69.3 | 43.5 | — | |
| Logistic RegressionTrain Size=1000, Pos:Neg=1:12026.06 | 61.1 | 61.8 | 60.1 | 63.4 | — | |
| MLPTrain Size=10002026.06 | 61 | 59.4 | 63.5 | 55.2 | — | |
| MLPTrain Size=1000, Pos:Neg=1:12026.06 | 60.9 | 60.2 | 62.1 | 58.3 | — | |
| MLPTrain Size=5002026.06 | 59.8 | 59.2 | 60.9 | 57.5 | — | |
| Logistic RegressionTrain Size=5002026.06 | 59.7 | 59.6 | 60 | 59.1 | — | |
| MLPTrain Size=1002026.06 | 56.8 | 53.5 | 61.2 | 45.7 | — | |
| Logistic RegressionTrain Size=1002026.06 | 56.7 | 55.9 | 57.8 | 54 | — | |
| Decision TreeTrain Size=1000, Pos:Neg=1:12026.06 | 56.2 | 56.2 | 56.4 | 55.9 | — | |
| Logistic RegressionTrain Size=102026.06 | 52 | 55.5 | 50.6 | 60.4 | — | |
| Decision TreeTrain Size=102026.06 | 51.2 | 52.4 | 50.7 | 54 | — | |
| MLPTrain Size=102026.06 | 49.8 | 54.7 | 48.3 | 61.1 | — | |
| MLPTrain Size=502026.06 | 48.3 | 54.7 | 42.9 | 66.5 | — | |
| Logistic RegressionTrain Size=502026.06 | 48 | 52.4 | 44.1 | 60.7 | — | |
| Decision TreeTrain Size=1000, Pos:Neg=1:22026.06 | 47.3 | 55 | 40.4 | 69.5 | — | |
| IDNetFusion Method=CDA2026.06 | 46.82 | — | 63.11 | — | 81.68 | |
| XGBoostTrain Size=1000, Pos:Neg=1:22026.06 | 45.5 | 60 | 33.4 | 86.5 | — | |
| Swin TransformerFusion Method=Concatenation2026.06 | 45.35 | — | 61.01 | — | 77.59 | |
| RETFoundFusion Method=Concatenation2026.06 | 45.33 | — | 60.12 | — | 78.64 | |
| RETFoundFusion Method=Late Fusion2026.06 | 44.56 | — | 60.41 | — | 77.89 | |
| VisionMambaFusion Method=Concatenation2026.06 | 44.23 | — | 58.62 | — | 77.51 | |
| ConvNeXtFusion Method=Concatenation2026.06 | 44.21 | — | 59.22 | — | 76.76 | |
| VisionRWKVFusion Method=Concatenation2026.06 | 43.25 | — | 58.94 | — | 76.59 | |
| ViTFusion Method=Concatenation2026.06 | 40.12 | — | 58.62 | — | 75.41 | |
| ResNet-101Fusion Method=Concatenation2026.06 | 39.65 | — | 55.28 | — | 75.89 | |
| Decision TreeTrain Size=1000, Pos:Neg=1:52026.06 | 36.9 | 54.6 | 26.7 | 82.5 | — | |
| Logistic RegressionTrain Size=1000, Pos:Neg=1:22026.06 | 35.7 | 56.6 | 24.3 | 88.8 | — | |
| MLPTrain Size=1000, Pos:Neg=1:22026.06 | 31.9 | 55.4 | 22.9 | 87.8 | — | |
| Decision TreeTrain Size=1000, Pos:Neg=1:102026.06 | 27.1 | 53.1 | 17.4 | 88.9 | — | |
| Logistic RegressionTrain Size=1000, Pos:Neg=1:52026.06 | 12.6 | 52.7 | 6.9 | 98.5 | — | |
| Decision TreeTrain Size=1000, Pos:Neg=1:502026.06 | 7.4 | 50.7 | 3.9 | 97.4 | — | |
| Logistic RegressionTrain Size=1000, Pos:Neg=1:102026.06 | 6.5 | 51.3 | 3.4 | 99.1 | — | |
| MLPTrain Size=1000, Pos:Neg=1:52026.06 | 2.1 | 50.4 | 1.1 | 99.8 | — | |
| Logistic RegressionTrain Size=1000, Pos:Neg=1:502026.06 | 1.3 | 50.2 | 0.7 | 99.7 | — | |
| MLPTrain Size=1000, Pos:Neg=1:102026.06 | 0 | 50 | 0 | 100 | — | |
| MLPTrain Size=1000, Pos:Neg=1:502026.06 | 0 | 50 | 0 | 100 | — |