Boston
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Regression | Boston UCI (test) | RMSE2.555 | 32 | |
| Regression | Boston | RMSE2.61 | 17 | |
| Regression | Boston | RAE0.41 | 10 | |
| Regression | Boston | Average RRSE0.48 | 10 | |
| Regression | Boston | MSE11.789 | 9 | |
| Regression | boston | Training Loss0.3075 | 8 | |
| Regression | Boston (test) | NLL2.589 | 8 | |
| Bayesian Neural Network Inference | Boston (UCI) (test) | Test Log-Likelihood-2.42 | 8 | |
| Regression | Boston | Average Training Time (s)1.479 | 6 | |
| Regression | Boston | Avg Relative Absolute Error44 | 6 | |
| Regression | Boston | NLL2.35 | 6 | |
| Uncertainty Calibration | Boston | MACE5 | 6 | |
| Faithfulness under retraining | Boston | AURC1.809 | 5 | |
| Out-of-distribution detection | Boston (UCI) (test) | OOD Detection Accuracy96.9 | 5 | |
| Regression | Boston | QICE3.37 | 5 | |
| Regression | Boston Focused Outliers | MAE0.244 | 5 | |
| Regression | Boston Asymmetric Outliers | MAE0.335 | 5 | |
| Regression | Boston Uniform Outliers | MAE0.203 | 5 | |
| Regression | Boston No Outliers | MAE0.208 | 5 | |
| Regression | Boston Uniform Outliers (test) | NLPD0.452 | 5 | |
| Regression | Boston No Outliers (test) | NLPD0.0924 | 5 | |
| Instance attribution explanation | Boston (test) | Wall-clock Time (s)0.02 | 4 | |
| Regression | Boston | Predictive MSE1.82 | 4 | |
| Regression | boston | R290.42 | 4 | |
| Circle Packing | Boston large variance | NP10.341 | 4 |
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