Prescription rate prediction on London Prescription Outcomes Depression (val)
0.868R2UST-GNN
Evaluation results
| Method | Links | |
|---|---|---|
| UST-GNNMethod Category=Proposed Method2025.04 | 0.868 | |
| Geo-LightGBM (Spatial weight matrix)Spatial Representation=Spatial weight matrix2025.04 | 0.779 | |
| Geo-XGBOOST(Spatial weight matrix)Spatial Representation=Spatial weight matrix2025.04 | 0.767 | |
| GWRMethod Category=Statistical Baseline2025.04 | 0.734 | |
| SLMMethod Category=Statistical Baseline2025.04 | 0.714 | |
| Geo-XGBOOST(Coordinates)Spatial Representation=Coordinates2025.04 | 0.699 | |
| Geo-LightGBM (Coordinates)Spatial Representation=Coordinates2025.04 | 0.689 | |
| Random ForestMethod Category=Machine Learning Baseline2025.04 | 0.633 | |
| LightGBMMethod Category=Machine Learning Baseline2025.04 | 0.628 |