creditcard
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Binary Classification | CreditCard 0.2% | PR AUC78.7 | 36 | |
| Time Series Anomaly Detection | Creditcard | AUC-R95.66 | 13 | |
| Identifying mislabeled points | creditcard | F1 Score15 | 12 | |
| Identifying mislabeled points | creditcard | AUC-ROC11 | 12 | |
| Identifying mislabeled points | creditcard | Precision11 | 12 | |
| Identifying mislabeled points | creditcard | Recall23 | 12 | |
| Binary classification | Creditcard | Accuracy97.26 | 8 | |
| Point-level mislabeled data detection | creditcard | AUCPR40 | 7 | |
| Data Valuation | creditcard | Valuation Runtime (s)0.54 | 5 | |
| Mislabel Detection | creditcard | AUROC0.724 | 5 | |
| Verifiable Data Valuation | creditcard | Proving Time (s)23.2 | 3 | |
| Classification | CreditCard | AUC99.4 | 2 | |
| Cell-level outlier detection | creditcard | AUC0.72 | 2 |
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