kr-vs-kp
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Classification | kr-vs-kp | Average Accuracy99.6 | 10 | |
| Classification | kr-vs-kp (UCI) | Accuracy93.8 | 9 | |
| Classification | UCI kr-vs-kp (80%:20%) | Classification Error (%)2.64 | 9 | |
| Synthetic Data Generation | kr-vs-kp | Running Time21.55 | 8 | |
| Classification | kr-vs-kp 3 | AUROC99.9 | 8 | |
| Classification | kr-vs-kp | Balanced Accuracy99.85 | 8 | |
| Classification | kr-vs-kp | Average Accuracy99.56 | 6 | |
| Classification | kr-vs-kp | Accuracy99.1 | 5 | |
| Classification | kr-vs-kp | Delta Accuracy0.0003 | 1 | |
| Classification | kr-vs-kp (full dataset) | Model Score93 | 1 |
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