Air quality
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Imputation | Air Quality (test) | MAE11.56 | 11 | |
| Time-series imputation | Air-Quality 10% missing (test) | MAE0.137 | 10 | |
| Time Series Editing | Air quality | ΔDTW-1.84 | 9 | |
| Shift Attribution | Air Quality 6h shift | Cosine Similarity0.98 | 8 | |
| Shift Attribution | Air Quality 5h shift | Cosine Similarity0.98 | 8 | |
| Shift Attribution | Air Quality 4h shift | Cosine Similarity0.98 | 8 | |
| Shift Attribution | Air Quality 3h shift | Cosine Similarity0.98 | 8 | |
| Shift Attribution | Air Quality 2h shift | Cosine Similarity0.98 | 8 | |
| Shift Attribution | Air Quality 1h shift | Cosine Similarity0.97 | 8 | |
| Air quality prediction | Air Quality checkerboard split, δ = 8° | R^20.39 | 8 | |
| Air quality prediction | Air Quality (UAR 50/50 spatial split) | R^20.671 | 8 | |
| Regression | Air Quality | RMSE25.291 | 8 | |
| Regression | Air Quality | MAPE20.241 | 8 | |
| Optimal Transport | Air Quality (6h shift) | Mean Transport Error1.17 | 7 | |
| Optimal Transport | Air Quality (5h shift) | Mean Transport Error1.07 | 7 | |
| Optimal Transport | Air Quality (4h shift) | Mean Transport Error0.95 | 7 | |
| Optimal Transport | Air Quality (3h shift) | Mean Transport Error0.8 | 7 | |
| Optimal Transport | Air Quality 2h shift | Mean Transport Error0.55 | 7 | |
| Optimal Transport | Air Quality 1h shift | Mean Transport Error0.2 | 7 | |
| Conditional Generation | Air Quality | WAPE0.759 | 7 | |
| Time series imputation | air quality | MAE9.6 | 7 | |
| Conditional Time Series Generation | Air Quality real-world (environment-based) | MDD0.069 | 6 | |
| Synthetic Data Generation | Air Quality | Average Runtime (s)0.1444 | 6 | |
| Linear Regression | Air Quality original (test) | Time (KNN)0.62 | 4 | |
| Air Quality Prediction | Air quality NO2 (train test) | Relative RMSE0.988 | 4 |
Showing 25 of 30 rows