Credit Card
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Binary Classification | Credit Card (test) | Macro F1 Score79.9 | 40 | |
| Predictive Modeling | Credit card Protected attribute: Sex (test) | Accuracy82.36 | 20 | |
| Binary Classification | Credit card Protected attribute: Age (test) | Accuracy80.78 | 20 | |
| Fairness Evaluation | Credit card Sex | Statistical Parity-0.0577 | 15 | |
| Fairness Evaluation | Credit card Age | Statistical Parity-0.1679 | 10 | |
| Classification | Credit Card real-world (test) | Accuracy82 | 7 | |
| Abductive Explanation Generation | Credit Card (test) | Average Execution Time (ms)1.92 | 6 | |
| Classification | Credit Card (test) | Error Rate5 | 5 | |
| Classification | Credit Card unlabeled (train) | Recall0.989 | 5 | |
| Anomaly Detection | Credit Card | AUROC94.8 | 4 | |
| False Discovery Rate Control | Credit Card (test) | FDR (Original)8 | 4 | |
| Class Prior Estimation | Credit Card unlabeled (train) | Absolute Estimation Error0.004 | 4 | |
| Credit Scoring | Credit Card | AUC0.746 | 3 | |
| Abductive Explanation Generation | Credit Card Rejected | Average Explanation Size7.56 | 3 | |
| Abductive Explanation Generation | Credit Card Classified | Average Explanation Size20.33 | 3 | |
| Tabular Classification | credit card | Accuracy (Mean)81.8 | 2 |
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