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 | |
| Regression | Air Quality | RMSE25.291 | 8 | |
| Regression | Air Quality | MAPE20.241 | 8 | |
| Conditional Generation | Air Quality | WAPE0.759 | 7 | |
| Time series imputation | air quality | MAE9.6 | 7 | |
| 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 | |
| Time Series Conformal Prediction | Air Quality 10PM (test) | Delta Covariance-0.002 | 4 | |
| Generative Modeling | Air quality (test) | Label Accuracy49.2 | 2 | |
| Spectral Clustering | Air Quality (full) | Result [14]0.6234 | 1 |
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