Toxic Comment Classification On Civil
Metriken
AUROC
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | AUROC |
|---|---|
| pytorch-frame-a-modular-framework-for-multi | 0.865 |
| a-benchmark-for-toxic-comment-classification | - |
| a-benchmark-for-toxic-comment-classification | 0.966 |
| a-benchmark-for-toxic-comment-classification | 0.9526 |
| a-benchmark-for-toxic-comment-classification | - |
| a-benchmark-for-toxic-comment-classification | - |
| a-benchmark-for-toxic-comment-classification | 0.979 |
| a-benchmark-for-toxic-comment-classification | - |
| pytorch-frame-a-modular-framework-for-multi | 0.882 |
| pytorch-frame-a-modular-framework-for-multi | 0.947 |
| a-benchmark-for-toxic-comment-classification | - |
| a-benchmark-for-toxic-comment-classification | 0.9804 |
| palm-2-technical-report-1 | 0.7596 |
| pytorch-frame-a-modular-framework-for-multi | 0.97 |
| a-benchmark-for-toxic-comment-classification | 0.9818 |
| a-benchmark-for-toxic-comment-classification | 0.9813 |
| palm-2-technical-report-1 | 0.8535 |
| a-benchmark-for-toxic-comment-classification | 0.9639 |
| a-benchmark-for-toxic-comment-classification | 0.9791 |
| pytorch-frame-a-modular-framework-for-multi | 0.945 |
| pytorch-frame-a-modular-framework-for-multi | 0.885 |
| a-benchmark-for-toxic-comment-classification | 0.979 |