australian
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Classification | australian | Accuracy91.4 | 46 | |
| Classification | australian | F1 Score94.7 | 25 | |
| Binary Classification | australian | F1-score89.1 | 21 | |
| Classification | australian | Precision83.28 | 18 | |
| Classification | australian | MMC Score72.04 | 18 | |
| Classification | australian | Recall92.51 | 18 | |
| Classification | Australian (UCI) (test) | NLL0.343 | 17 | |
| Classification | australian 25% feature noise | Accuracy (25% noise)90.5 | 14 | |
| Classification | australian 25% label noise (test) | Accuracy87.5 | 14 | |
| Classification | Australian UCI (5-fold cross-validated) | Accuracy86.23 | 10 | |
| Classification | Australian | Average Accuracy87.5 | 10 | |
| Classification | Australian 80% (train) | VI135.6 | 8 | |
| Classification | Australian | Accuracy87.25 | 8 | |
| Clustering | Australian (UCI) | ARI0.4802 | 8 | |
| Classification | australian 0% noise (test) | Accuracy87.2 | 7 | |
| Classification | australian (0% noise) | F1 Score89.1 | 7 | |
| Classification | australian (test) | Accuracy87.5 | 7 | |
| Classification | australian 25% feature noise | F1 Score94.3 | 7 | |
| Classification | australian 25% label noise | F1 Score94.7 | 7 | |
| Binary Classification | australian 25% label noise | Mean F1 Score88.2 | 7 | |
| Binary classification | australian UCI (test) | Accuracy87.2 | 7 | |
| Classification | australian 25% feature noise (test) | F1 Score88.9 | 7 | |
| Binary Classification | australian 25% feature noise (test) | Accuracy88 | 7 | |
| Binary Classification | australian 0% noise | Accuracy88.1 | 7 | |
| Binary Classification | australian 25% feature noise | F1-score88.6 | 7 |
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