Noisy Label Detection on Covertype
0.766AUCTMC-Shapley
Evaluation Results
| Method | Links | |
|---|---|---|
| TMC-ShapleyClassifier=Logistic Regression2022.11 | 0.766 | |
| TDS-improvedDownstream model=LR2026.05 | 0.741 | |
| MS-TDSDownstream model=LR2026.05 | 0.738 | |
| TDSDownstream model=LR2026.05 | 0.721 | |
| CS-SHAPLEYClassifier=SVM-RBF2022.11 | 0.712 | |
| TMC-ShapleyDownstream model=LR2026.05 | 0.711 | |
| CS-SHAPLEYClassifier=Logistic Regression2022.11 | 0.706 | |
| MS-TDSDownstream model=NB2026.05 | 0.689 | |
| TMC-ShapleyDownstream model=NB2026.05 | 0.68 | |
| TDS-improvedDownstream model=NB2026.05 | 0.665 | |
| Beta-ShapleyDownstream model=LR2026.05 | 0.663 | |
| TDSDownstream model=NB2026.05 | 0.663 | |
| Beta ShapleyClassifier=Logistic Regression2022.11 | 0.653 | |
| Beta-ShapleyDownstream model=NB2026.05 | 0.631 | |
| TMC-ShapleyClassifier=SVM-RBF2022.11 | 0.618 | |
| Beta ShapleyClassifier=SVM-RBF2022.11 | 0.6 | |
| LOODownstream model=LR2026.05 | 0.525 | |
| LOODownstream model=NB2026.05 | 0.43 | |
| Leave-One-OutClassifier=SVM-RBF2022.11 | 0.196 | |
| Leave-One-OutClassifier=Logistic Regression2022.11 | 0.179 |