Prescription rate prediction on London Prescription Outcomes Hypertension (Ten-fold cross-validation)
0.869R2 ScoreUST-GNN
Evaluation results
| Method | Links | |
|---|---|---|
| UST-GNNMethod Category=Proposed Method2025.04 | 0.869 | |
| Geo-XGBOOST(Spatial weight matrix)Spatial Representation=Spatial weight matrix2025.04 | 0.801 | |
| Geo-LightGBM (Spatial weight matrix)Spatial Representation=Spatial weight matrix2025.04 | 0.79 | |
| GWRMethod Category=Statistical Baseline2025.04 | 0.752 | |
| SLMMethod Category=Statistical Baseline2025.04 | 0.725 | |
| Geo-XGBOOST(Coordinates)Spatial Representation=Coordinates2025.04 | 0.725 | |
| Geo-LightGBM (Coordinates)Spatial Representation=Coordinates2025.04 | 0.72 | |
| Random ForestMethod Category=Machine Learning Baseline2025.04 | 0.671 | |
| LightGBMMethod Category=Machine Learning Baseline2025.04 | 0.649 |