AI-READI
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Counterfactual Generation | AI-READI (Class 1) | Validity98 | 9 | |
| Counterfactual Generation | AI-READI Class 0 | Validity0.99 | 9 | |
| Classification | AI-READI Scenario C — Dual-Class Undersampling (train) | ACC21.47 | 6 | |
| Classification | AI-READI Scenario B — Negative-Class Undersampling (train) | Accuracy17.16 | 6 | |
| Classification | AI-READI Scenario A — Positive-Class Undersampling (train) | ACC21 | 6 | |
| Membership Inference Attack | AI-READI | AUC100 | 4 | |
| Fidelity Evaluation | AI-READI (test) | CWC1.352 | 3 | |
| Classification | AI-READI Full (train) | Accuracy71.8 | 1 |
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