Energy Efficiency
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Regression | Energy Efficiency | CRPS Posterior Probability100 | 16 | |
| Regression | Energy Efficiency | MSE Change-32.5 | 12 | |
| Regression | energy efficiency | Quantile Loss0.029 | 11 | |
| Regression | Energy Efficiency | PICP99 | 11 | |
| Regression | Energy Efficiency | Interval Score Loss1 | 6 | |
| Regression | energy efficiency | NCIW0.041 | 6 | |
| Faithfulness under retraining | Energy efficiency | AURC0.429 | 5 | |
| Quantile Regression | Energy Efficiency | NIW0.085 | 5 | |
| Prediction Interval Estimation | energy efficiency | NCIW0.079 | 5 | |
| Instance attribution explanation | Energy efficiency (test) | Wall-clock Time (s)0.03 | 4 | |
| Feature Importance Ranking Alignment | UCI Energy Efficiency | Spearman Correlation0.6944 | 4 | |
| Target sensitivity estimation | Energy efficiency (test) | Pearson r1 | 3 | |
| Regression | Energy Efficiency | R^20.91 | 2 |
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