Boston
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Regression | Boston UCI (test) | RMSE0.2 | 36 | |
| Kernel regression | Boston 20% (test) | RMSE3.303 | 28 | |
| Model Compression | boston | Accuracy / R2 Score87 | 26 | |
| Kernel Regression | Boston 20% n=506 (test) | NLL2.593 | 20 | |
| Regression | Boston | RMSE2.61 | 17 | |
| Regression | boston | R^20.85 | 13 | |
| RF compression | boston | Performance Score85.5 | 13 | |
| Regression | Boston (UCI) | Log-Likelihood-2.301 | 13 | |
| Regression | Boston (test) | NLL2.589 | 12 | |
| Regression | Boston 10% outlier contamination | RMSE3.96 | 11 | |
| Regression | Boston no contamination | RMSE3.24 | 11 | |
| Regression | Boston | RAE0.41 | 10 | |
| Regression | Boston | Average RRSE0.48 | 10 | |
| Regression | Boston | MSE11.789 | 9 | |
| Regression | boston | Training Loss0.3075 | 8 | |
| Bayesian Neural Network Inference | Boston (UCI) (test) | Test Log-Likelihood-2.42 | 8 | |
| Multivariate Regression | Boston | MSE0.0301 | 6 | |
| Prediction Interval estimation | boston (test) | PICP91.58 | 6 | |
| 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 |
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