CA
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Energy usage prediction | CA California | MAE0.327 | 14 | |
| Federated Clustering | CA | NMI0.39 | 9 | |
| Global Clustering | CA | Purity0.436 | 9 | |
| Clustering | CA | Purity54.2 | 9 | |
| Global Clustering | CA | SC0.139 | 9 | |
| Solving MILP instances | CA (test) | Avg Time (s)0.02 | 8 | |
| Traffic Forecasting | CA | MAE (Horizon 3)14.69 | 7 | |
| 3D Object Detection | CA-1M | AP@0.25 IoU40.9 | 7 | |
| Structural Distributional Similarity | CA | SDS Score99.7 | 7 | |
| Tabular Classification | CA | Macro F197.4 | 6 | |
| Mixed Integer Linear Programming Solving | CA | Objective Value7,453.42 | 5 | |
| Structured Sentiment Analysis | CA v1.0 (test) | Holder Span F160.8 | 5 | |
| Tabular Classification | CA (test) | AUROC96.7 | 4 | |
| Synthetic Tabular Data Generation | CA | DCR11.7 | 4 | |
| Time Series Forecasting | CA (Average) | MAE17.5 | 2 | |
| Tabular Data Generation | CA | MLE0.838 | 2 | |
| Classification | CA | Accuracy95.5 | 1 |
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