Crime
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Coreset Construction | Crime | Wasserstein Distance1.62 | 30 | |
| Regression | Crime (USA) | %R^290.8 | 28 | |
| Conformal Prediction | crime | CMC1.57 | 16 | |
| Regression | Crime (USA) (cross-regional) | Percentage R^285.3 | 12 | |
| Regression | Crime 3 seeds | RMSE (Average)0.123 | 9 | |
| Multi-class Classification | Crime | Accuracy45.7 | 8 | |
| Time-series Forecasting | Crime | MSE0.919 | 7 | |
| Text2Cypher generation | Crime | Q@1 Accuracy68 | 5 | |
| Regression | Crime | Average Interval Width0.7 | 5 | |
| Conformal Prediction | Crime (test) | Marginal Coverage91.2 | 5 | |
| Regression | crime | R20.654 | 4 | |
| Sparse Principal Component Analysis | Crime dataset | Result at 10% Sparsity14 | 2 |
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