YE
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Regression | YE | Negative RMSE-0.776 | 29 | |
| Regression | YE 50% corrupted features noise | Negative RMSE-0.776 | 21 | |
| Feature Selection | YE with random extraneous features | Precision1 | 17 | |
| Feature Selection | YE with random extraneous features | ROC AUC1 | 17 | |
| Clustering | YE | ARI0.9 | 16 | |
| Clustering | YE | Accuracy (ACC)44.22 | 14 | |
| Regression | YE | Rank4.4 | 14 | |
| Regression | YE | Negative MSE-0.773 | 12 | |
| Regression | YE corrupted features | Negative MSE-0.776 | 12 | |
| Regression | YE 75% random extra features | Negative RMSE-0.774 | 10 | |
| Regression | YE 75% corrupted features | Negative RMSE-0.778 | 10 | |
| Federated Clustering | YE | NMI33.7 | 9 | |
| Global Clustering | YE | Purity49.8 | 9 | |
| Clustering | YE | NMI0.267 | 9 | |
| Global Clustering | YE | SC0.167 | 9 |
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