blood-transfusion
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Classification | blood-transfusion | AUROC76.9 | 23 | |
| Counterfactual Explanation Generation | blood-transfusion | Validity100 | 20 | |
| Classification | blood-transfusion | Accuracy79.9 | 17 | |
| Counterfactual Explanation Diversity | blood-transfusion | Diversity1.6 | 14 | |
| Classification | Blood Transfusion 80% (train) | VI Score51.2 | 8 | |
| Classification | Blood Transfusion UCI (test 20%) | VI-6.3 | 8 | |
| Active Learning | Blood-Transfusion | AULC15.1 | 8 | |
| Tabular Classification | Blood-Transfusion | Cohen's Kappa21.2 | 8 | |
| Counterfactual Explanation | blood-transfusion | Proximity Score1.2 | 7 | |
| Clustering | Blood Transfusion | ARI0.065 | 5 | |
| Classification | Blood Transfusion tabular (test) | Accuracy (%)78.5 | 5 | |
| Binary Classification | Blood Transfusion (test) | Macro F1-score62.8 | 5 | |
| Risk ranking | Blood transfusion (50 train-test splits) | Top-Quartile Error0.234 | 4 | |
| Classification | blood-transfusion | Average Balanced Accuracy68.05 | 3 |
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