Prescription rate prediction on London Prescription Outcomes Asthma (Ten-fold cross-val)
0.849R2UST-GNN
Evaluation Results
| Method | Links | |
|---|---|---|
| UST-GNNMethod Category=Proposed Method2025.04 | 0.849 | |
| Geo-XGBOOST(Spatial weight matrix)Spatial Representation=Spatial weight matrix2025.04 | 0.764 | |
| Geo-LightGBM (Spatial weight matrix)Spatial Representation=Spatial weight matrix2025.04 | 0.754 | |
| GWRMethod Category=Statistical Baseline2025.04 | 0.71 | |
| SLMMethod Category=Statistical Baseline2025.04 | 0.684 | |
| Geo-XGBOOST(Coordinates)Spatial Representation=Coordinates2025.04 | 0.678 | |
| Geo-LightGBM (Coordinates)Spatial Representation=Coordinates2025.04 | 0.67 | |
| Random ForestMethod Category=Machine Learning Baseline2025.04 | 0.621 | |
| LightGBMMethod Category=Machine Learning Baseline2025.04 | 0.589 |