Icu Mortality On Hirid
Métriques
AUPRC
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | AUPRC | Paper Title | Repository |
|---|---|---|---|
| Logistic Regression | 0.581±0.000 | HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data | - |
| Transformer | 0.610±0.008 | HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data | - |
| GRU | 0.603 ±0.016 | HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data | - |
| LSTM | 0.600±0.009 | HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data | - |
| LGBM | 0.546±0.008 | HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data | - |
| LGBM ( + hand crafted features) | 0.626±0.000 | HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data | - |
| TCN | 0.602±0.011 | HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data | - |
0 of 7 row(s) selected.