Sepsis Prediction on eICU
98.2AUROCCatB
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| CatBModel Category=Classical and Ensemble Models2026.04 | 98.2 | — | 76 | |
| LightGModel Category=Classical and Ensemble Models2026.04 | 98.2 | — | 75.7 | |
| XGBModel Category=Classical and Ensemble Models2026.04 | 98.2 | — | 76.2 | |
| TabMModel Category=Deep Tabular Models2026.04 | 98.2 | — | 75.5 | |
| TromptModel Category=Deep Tabular Models2026.04 | 97.9 | — | 73.9 | |
| kNNPFNModel Category=Ours, AWARE=true2026.04 | 97.9 | — | 73.9 | |
| ExcelFModel Category=Deep Tabular Models2026.04 | 97.6 | — | 67.3 | |
| MNCAModel Category=Deep Tabular Models2026.04 | 97.5 | — | 72.3 | |
| TabDPTModel Category=Ours, AWARE=true2026.04 | 97.2 | — | 70 | |
| ResNetModel Category=Deep Tabular Models2026.04 | 97.1 | — | 70.3 | |
| kNNPFNModel Category=Tabular In-Context Learning Models2026.04 | 96.9 | — | 69.1 | |
| TabPFNModel Category=Tabular In-Context Learning Models2026.04 | 96.8 | — | 69.5 | |
| MLPModel Category=Classical and Ensemble Models2026.04 | 96.5 | — | 66.5 | |
| KNNModel Category=Ours, AWARE=true2026.04 | 96.3 | — | 69.5 | |
| TabDPTModel Category=Tabular In-Context Learning Models2026.04 | 96 | — | 65.7 | |
| TabNetModel Category=Deep Tabular Models2026.04 | 95.9 | — | 63.1 | |
| TabTModel Category=Deep Tabular Models2026.04 | 95.5 | — | 61.4 | |
| LRModel Category=Classical and Ensemble Models2026.04 | 92.9 | — | 54 | |
| KNNModel Category=Classical and Ensemble Models2026.04 | 82.3 | — | 30.3 | |
| cs-CoxEvaluation=5-fold cross-validation2025.12 | — | 0.065 | — | |
| DeepHitEvaluation=5-fold cross-validation2025.12 | — | 0.058 | — | |
| DeepSurvEvaluation=5-fold cross-validation2025.12 | — | 0.064 | — | |
| DynamicDeepHitEvaluation=5-fold cross-validation2025.12 | — | 0.058 | — | |
| SurvTRACEEvaluation=5-fold cross-validation2025.12 | — | 0.065 | — | |
| TRACERCovariate Embedding with Time-Decay=false, Factorized Attention=true, Evaluation=5-fold cross-validation2025.12 | — | 0.056 | — | |
| TRACERCovariate Embedding with Time-Decay=true, Factorized Attention=false, Evaluation=5-fold cross-validation2025.12 | — | 0.055 | — | |
| TRACERCovariate Embedding with Time-Decay=true, Factorized Attention=true, Evaluation=5-fold cross-validation2025.12 | — | 0.055 | — |