Individualized decision modeling on Kidney allocation Study Two
90Average AccuracyOur Model
Evaluation Results
| Method | Links | |
|---|---|---|
| Our ModelLoss Function=cross-entropy loss2025.09 | 90 | |
| Logistic ClfModel Category=Supervised learning models2025.09 | 89 | |
| SVMModel Category=Supervised learning models2025.09 | 89 | |
| Our ModelLoss Function=hinge loss2025.09 | 89 | |
| Drift-DiffusionModel Category=Cognitive models2025.09 | 88 | |
| Elastic NetModel Category=Supervised learning models2025.09 | 88 | |
| MLPModel Category=Supervised learning models2025.09 | 86 | |
| Random ForestModel Category=Supervised learning models2025.09 | 85 | |
| GAMModel Category=Supervised learning models2025.09 | 84 | |
| k-NNModel Category=Supervised learning models2025.09 | 82 | |
| Decision TreeModel Category=Supervised learning models2025.09 | 79 | |
| Bradley-TerryModel Category=Cognitive models2025.09 | 78 |