COMPAS
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Fair Classification | COMPAS (test) | Accuracy62 | 28 | |
| Monotonic Bayesian Neural Network Classification | COMPAS (test) | OOD Ratio0 | 24 | |
| Fair Classification | COMPAS | DP Disparity-0.1743 | 16 | |
| Classification | COMPAS | Accuracy65.77 | 15 | |
| Classification | COMPAS | Accuracy73.8 | 15 | |
| Classification | COMPAS | Average Expected Loss31.1 | 14 | |
| Recidivism risk prediction | COMPAS two-year recidivism (test) | AUC0.8529 | 13 | |
| Classification | COMPAS | Average Accuracy68.2 | 12 | |
| Model Reconstruction | COMPAS | Avg Fidelity96 | 9 | |
| Binary Classification | COMPAS | Accuracy63.5 | 9 | |
| Rashomon Set Approximation | COMPAS | Running Time (s)18.38 | 9 | |
| Classification | COMPAS | Delta DP0.0373 | 7 | |
| Fairness-aware Classification | COMPAS | Training Time (min)1 | 7 | |
| Classification | Compas | Accuracy0.9579 | 6 | |
| Fairness Testing | COMPAS | Individual Disparity Count1,140 | 6 | |
| Classification | COMPAS binary | Accuracy0.673 | 6 | |
| Classification | COMPAS 2016 | Accuracy66.7 | 6 | |
| Classification | COMPAS binary | Average Runtime (s)0.003 | 6 | |
| Classification | COMPAS 2016 | Average Runtime (s)0.003 | 6 | |
| Robustness Certification | COMPAS (test) | Certification Rate (0.05% bias)89 | 6 | |
| Fairness-aware Classification | COMPAS race (test) | Accuracy66.89 | 5 | |
| Fairness-aware Classification | COMPAS sex (test) | Accuracy66.98 | 5 | |
| Monotone Classification | COMPAS (full data) | Accuracy69.4 | 5 | |
| Molecular Property Prediction | COMPAS-1D (test) | aEA0.0093 | 5 | |
| Binary Classification | COMPAS | AUC0.744 | 5 |
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