California Housing
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Regression | California Housing Standard (test) | MSE0.5852 | 78 | |
| Regression | California Housing | MSE0.089 | 78 | |
| Regression | California Housing (CH) (test) | MSE0.0224 | 52 | |
| Regression | California Housing (test) | RMSE0.2002 | 35 | |
| Lipschitz constant estimation | California housing | Lipschitz Constant1 | 27 | |
| Regression | California Housing (train) | RMSE0.181 | 12 | |
| Regression | California Housing sklearn (test) | Coverage91.3 | 11 | |
| Local Explanation | California Housing | Weighted R20.81 | 10 | |
| Regression | california housing sub. 2000 (test) | RMSE0.5183 | 9 | |
| Regression | CALIFORNIA HOUSING subsampled to 300 (train) | R5000.86 | 9 | |
| Regression | California Housing | Estimation Inaccuracy1.2 | 8 | |
| Regression | california-housing CV (test) | R2 Score0.77 | 8 | |
| Regression | California Housing Large-scale (test) | Test R^20.75 | 7 | |
| Relational Data Synthesis | California Housing | CSC1 | 7 | |
| Tabular Data Synthesis | California Housing | Violation Rate2.65 | 7 | |
| Regression | California Housing 5-fold CV | RMSE0.45 | 7 | |
| Bivariate regression | California housing (10-fold CV) | R20.204 | 7 | |
| Runtime Evaluation | California Housing (CH) 8 features | Throughput (images/s)61,000,000 | 7 | |
| Linear Regression | California Housing | PMSE1.02 | 6 | |
| Regression | California Housing | Empirical Coverage95.86 | 6 | |
| Prediction interval estimation | California Housing (test) | Empirical Coverage90.8 | 6 | |
| Tabular Regression | CA (California Housing) (test) | MLE Loss0.525 | 6 | |
| Continuous SVD Multi-Field Transformation | California Housing | MSE0.6531 | 5 | |
| Regression | California Housing | MSE0.0028 | 5 | |
| Regression | California Housing | Coverage90 | 5 |
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