| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Multi-year station-hour demand dataset (Overall) | MMD adaptation | MAE0.8281 | 9 | 2mo ago | |
| Multi-year station-hour demand dataset (Two-year) | MMD adaptation | MAE0.8156 | 9 | 2mo ago | |
| Multi-year station-hour demand dataset (Adjacent-year split) | MMD adaptation | MAE0.8419 | 9 | 2mo ago | |
| H&M Personalized Fashion Recommendations (10 random train-test splits) | LLM-cal | CRPS0.94 | 4 | 1mo ago | |
| Retail transactional dataset latest 3 months (Out of Time test) | Monodense deep learning model | WMAPE30.9 | 3 | 3mo ago | |
| Dominick’s beer (out-of-sample) | ICDN | ΔR² Test Statistic3.757 | 1 | 2mo ago |
