Hepatitis
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Anomaly Detection | Hepatitis | AUC ROC0.8281 | 19 | |
| Anomaly Detection | Hepatitis In-Domain | F1-Score49.23 | 10 | |
| Concept Learning | Hepatitis | Concept Size53,269.8 | 9 | |
| Classification | hepatitis UCI | Accuracy81.2 | 9 | |
| Classification | Hepatitis 80% (train) | VI Score42.2 | 8 | |
| Classification | Hepatitis UCI (test 20%) | VI5.66 | 8 | |
| Classification | D1 hepatitis MCAR 15% (20% test) | Accuracy87.1 | 8 | |
| Classification | Hepatitis (5-fold cross-validation) | Accuracy90 | 7 | |
| Classification | hepatitis UCI KEEL (test) | Accuracy91.3 | 6 | |
| Clustering | Hepatitis | F1 Score0.78 | 6 | |
| Classification | hepatitis | Accuracy88.4 | 5 | |
| Classification | Hepatitis Real World Incomplete (test) | Accuracy80.39 | 5 | |
| Binary Classification | Hepatitis (test) | Macro F1-score62.2 | 4 |
Showing 13 of 13 rows