darwin
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Alzheimer’s disease diagnosis | DARWIN | Accuracy87.43 | 21 | |
| Binary Classification | Darwin | Accuracy77.5 | 21 | |
| Binary Classification | darwin | F1-score85.2 | 21 | |
| Classification | darwin 25% label noise (test) | Accuracy82.8 | 14 | |
| Binary Classification | darwin 25% label noise | Mean F1-Score71.4 | 7 | |
| Binary classification | Darwin UCI (test) | Accuracy74.1 | 7 | |
| Classification | darwin 25% feature noise (test) | F1 Score85.4 | 7 | |
| Binary Classification | darwin 25% feature noise (test) | Accuracy85.6 | 7 | |
| Binary Classification | darwin 0% noise | Accuracy85 | 7 | |
| Binary Classification | darwin 25% feature noise | F1 Score78.9 | 7 | |
| Classification | Darwin | Accuracy0.833 | 5 |
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