Acute Kidney Injury Prediction on PhysioNet Challenge 2012
0.773AUROCAID-MAE
Evaluation results
| Method | Links | ||
|---|---|---|---|
| AID-MAErandom masking=25%2026.02 | 0.773 | 0.625 | |
| XGBoost2026.02 | 0.77 | 0.618 | |
| AID-MAETraining Regime=Fine-Tuning2026.02 | 0.77 | — | |
| SMART2026.02 | 0.769 | 0.608 | |
| DuETT2026.02 | 0.767 | 0.618 | |
| DuETTTraining Regime=Fine-Tuning2026.02 | 0.764 | — | |
| Supervised Transformer2026.02 | 0.761 | 0.596 | |
| Random WeightsTraining Regime=Fine-Tuning2026.02 | 0.761 | — | |
| Logistic Regression2026.02 | 0.748 | 0.586 | |
| AID-MAETraining Regime=Linear Probing2026.02 | 0.697 | — | |
| DuETTTraining Regime=Linear Probing2026.02 | 0.662 | — | |
| Random WeightsTraining Regime=Linear Probing2026.02 | 0.527 | — |