Credit
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Classification | Credit | ROCAUC98.6 | 63 | |
| Node Classification | Credit 10-shot | Accuracy61.46 | 32 | |
| Node Classification | Credit | Accuracy64.86 | 32 | |
| Numerical Reasoning | Credit | Hit Rate @ 174.5 | 24 | |
| Contamination detection | credit | Acomp0.81 | 24 | |
| Classification | credit (test) | Test Accuracy82.02 | 19 | |
| Multivariate Time Series Anomaly Detection | Credit | Precision (P)15.6 | 16 | |
| Time Series Anomaly Detection | Credit | Affiliation Precision65.8 | 16 | |
| Anomaly Detection | Credit | R-R Score90.7 | 16 | |
| Faithful Narrative Generation | credit | RA100 | 16 | |
| Counterfactual Explanations | Credit (test) | IM11.0767 | 16 | |
| Fairness Classification | Credit (test) | Disparate Impact (DP)0.1762 | 14 | |
| Fairness Evaluation | Credit (test) | PP5.66 | 14 | |
| Node Classification | Credit Dataset | BACC69.95 | 14 | |
| Data Imputation | Credit-g | Accuracy54.46 | 13 | |
| Machine Unlearning | Credit (test) | AUC81.46 | 10 | |
| Counterfactual Generation | Credit | Unique Valid CFs567.17 | 10 | |
| Graph Multiple Sensitive Attribute Inference Attack | Credit | AA (Attribute Accuracy)74.71 | 10 | |
| Machine Unlearning | Credit | Unlearning Runtime (s)0.046 | 9 | |
| Counterfactual Generation | Credit | Runtime (minutes)0 | 9 | |
| Classification | credit (UCI) | Accuracy83.1 | 9 | |
| Node Classification | Credit r: 0.01 (test) | ACC (%)78.13 | 9 | |
| Classification | credit small | Accuracy99.39 | 9 | |
| Classification | Credit | Error Rate24.79 | 9 | |
| Actionable Counterfactual Generation | Credit 1994 (test) | Validity100 | 9 |
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