Credit
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Classification | Credit | ROCAUC98.6 | 50 | |
| Counterfactual Explanations | Credit (test) | IM11.0767 | 16 | |
| Node Classification | Credit Dataset | BACC69.95 | 14 | |
| Data Imputation | Credit-g | Accuracy54.46 | 13 | |
| Graph Multiple Sensitive Attribute Inference Attack | Credit | AA (Attribute Accuracy)74.71 | 10 | |
| Classification | Credit | Error Rate24.79 | 9 | |
| Actionable Counterfactual Generation | Credit 1994 (test) | Validity100 | 9 | |
| Tabular Classification | Credit | Clean Accuracy83.3 | 9 | |
| Multi-class classification | Credit | Macro F1 Score0.48 | 9 | |
| Node Classification | Credit (test) | Accuracy73.79 | 8 | |
| Full black box attack | Credit (test) | FBB ROC AUC0.71 | 8 | |
| Bayesian Inference | Credit 25D | ELBO-501.74 | 6 | |
| Classification | Credit P* = Credit7, Q = Credit31 | Rho (nu, zeta)0.878 | 6 | |
| Binary Classification | Credit | AUROC98.6 | 6 | |
| Missing Data Imputation | Credit UCI | AUROC0.7527 | 6 | |
| Missing Data Imputation | Credit | RMSE0.1858 | 6 | |
| Fairness Testing | Credit | #IDIs1,930 | 5 | |
| Sufficient Explanation Generation | CREDIT | Model Size3.76 | 3 | |
| Model Allocation | Credit | AUC78 | 1 | |
| Missing Data Imputation | Credit (test) | Metric- | 0 |
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