Energy
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Time Series Forecasting | Energy | MSE0.065 | 72 | |
| Time-series Generation | Energy | Discriminative Score0.553 | 72 | |
| Tabular Data Synthesis Fidelity | energy | KS Distance0.62 | 42 | |
| Regression | Energy UCI (test) | RMSE0.04 | 37 | |
| Regression | Energy | RMSE0.112 | 24 | |
| Tabular Data Synthesis | energy | Inverse KL0.12 | 21 | |
| Tabular Data Synthesis | energy | Chi-squared Test Result0.03 | 21 | |
| Anomaly Detection | Energy | A-R (AUC-ROC)81.26 | 20 | |
| Anomaly Detection | Energy | Accuracy80 | 20 | |
| Classification | energy | Balanced Accuracy35.74 | 20 | |
| Anomaly Detection | Energy | Aff-F Score74.37 | 18 | |
| Prediction Region Estimation | Energy (test) | Coverage91.1 | 16 | |
| Regression | Energy 100% non-corrupted features | RMSE0.08 | 15 | |
| Regression | Energy 50% non-corrupted features | RMSE0.082 | 15 | |
| Regression | Energy 0% non-corrupted features | RMSE0.089 | 15 | |
| Regression | Energy (UCI) | Log-Likelihood-0.539 | 13 | |
| Tabular Regression | Energy UCI 10% outlier contamination | RMSE1.89 | 11 | |
| Tabular Regression | Energy no contamination (avg. over 10 trials) | RMSE1.43 | 11 | |
| Regression | energy 19735x26 | Mean MSE210.28 | 11 | |
| Time Series Forecasting | Energy (test) | MSE0.124 | 10 | |
| Unconditional Time Series Generation | Energy L=24 (test) | Discriminative Score (DS)0.499 | 10 | |
| Time-series forecasting | Energy horizon 360 | MSE0.186 | 10 | |
| Time-series forecasting | Energy horizon 24 | MSE0.102 | 10 | |
| Regression | Energy | Min Epsilon0.0496 | 9 | |
| Time Series Forecasting | Energy 20-seed (test) | Test R^20.6071 | 8 |
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