| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| ImageNet 100 | Data-OOB | F1 Score80 | 54 | 23d ago | |
| MNIST | 2D geometric metric | Accuracy99.83 | 20 | 1mo ago | |
| Covertype | TMC-Shapley | AUC0.766 | 20 | 2mo ago | |
| CIFAR-100N natural label noise (train) | DEFT | F1-score90.58 | 19 | 1mo ago | |
| Phoneme | LSH-Shapley | AUC0.883 | 18 | 2mo ago | |
| Click | CS-SHAPLEY | AUC0.855 | 18 | 2mo ago | |
| CIFAR-10 | 3D multi-metric | Accuracy98.74 | 16 | 1mo ago | |
| CPU | LSH-Shapley | AUC0.86 | 13 | 2mo ago | |
| IMDB embedding | HCDV | NLD35 | 12 | 4mo ago | |
| bbc-embedding | NLD Score0.11 | 12 | 4mo ago | ||
| CIFAR10 embedding | NLD11 | 12 | 4mo ago | ||
| CIFAR10 | KNN | AUC0.95 | 11 | 1mo ago | |
| CIFAR-10 1k subset 10% label noise | GRASP | AUC (%)80.32 | 8 | 1mo ago | |
| MNIST 2 | CS-SHAPLEY | AUC0.837 | 8 | 4mo ago | |
| FMNIST | CS-SHAPLEY | AUC57 | 8 | 4mo ago | |
| Diabetes | CS-SHAPLEY | AUC0.441 | 8 | 4mo ago | |
| IMBD | KNN-Shapley | F1 Score (5% Noise)0.18 | 5 | 4mo ago | |
| BBC | KNN-Shapley | F1 (5%)19 | 5 | 4mo ago | |
| CIFAR 10 | KNN-Shapley | F1 Score (5% Noise)14 | 5 | 4mo ago |
