Powerplant
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Imputation | powerplant MAR | RMSE0.5099 | 67 | |
| Data Imputation | powerplant MAR (test) | Wasserstein Distance0.2831 | 66 | |
| Data Imputation | powerplant MCAR (test) | Wasserstein Distance0.2841 | 64 | |
| Imputation | powerplant MCAR | RMSE0.5665 | 64 | |
| Data Imputation | powerplant MNAR (test) | Wasserstein Distance0.3036 | 63 | |
| Imputation | powerplant MNAR | RMSE0.5321 | 63 | |
| Regression | powerplant | Quantile Loss0.203 | 11 | |
| Regression | powerplant | PICP0.95 | 11 | |
| Regression | powerplant | NIW0.157 | 11 | |
| Regression | Powerplant (test) | Log-Likelihood0.0028 | 10 | |
| Regression | powerplant | Interval Score Loss16.243 | 6 | |
| Regression | powerplant | NCIW20 | 6 | |
| Regression | powerplant | Interval Score Loss18.145 | 5 | |
| Prediction Interval Estimation | powerplant | NCIW0.19 | 5 | |
| Regression | Powerplant | Coverage90.2 | 4 | |
| Meta-regression | Powerplant (test) | RMSE0.0137 | 4 |
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