Prescription rate prediction on London Prescription Outcomes Diabetes (val)
0.864R2UST-GNN
Evaluation results
| Method | Links | |
|---|---|---|
| UST-GNNMethod Category=Proposed Method2025.04 | 0.864 | |
| Geo-XGBOOST(Spatial weight matrix)Spatial Representation=Spatial weight matrix2025.04 | 0.781 | |
| Geo-LightGBM (Spatial weight matrix)Spatial Representation=Spatial weight matrix2025.04 | 0.772 | |
| GWRMethod Category=Statistical Baseline2025.04 | 0.726 | |
| SLMMethod Category=Statistical Baseline2025.04 | 0.711 | |
| Geo-XGBOOST(Coordinates)Spatial Representation=Coordinates2025.04 | 0.691 | |
| Geo-LightGBM (Coordinates)Spatial Representation=Coordinates2025.04 | 0.684 | |
| Random ForestMethod Category=Machine Learning Baseline2025.04 | 0.637 | |
| LightGBMMethod Category=Machine Learning Baseline2025.04 | 0.632 |