Noisy Label Detection on Click
0.855AUCCS-SHAPLEY
Evaluation Results
| Method | Links | |
|---|---|---|
| CS-SHAPLEYClassifier=SVM-RBF2022.11 | 0.855 | |
| CS-SHAPLEYClassifier=Logistic Regression2022.11 | 0.816 | |
| Beta ShapleyClassifier=Logistic Regression2022.11 | 0.797 | |
| Beta ShapleyClassifier=SVM-RBF2022.11 | 0.789 | |
| TMC-ShapleyClassifier=SVM-RBF2022.11 | 0.769 | |
| LSH-ShapleyN=10,000, d=112026.05 | 0.723 | |
| TMC-ShapleyClassifier=Logistic Regression2022.11 | 0.689 | |
| LSH-ShapleyN=10,000, d=112026.05 | 0.62 | |
| KNNN=10,000, d=112026.05 | 0.594 | |
| KNNN=10,000, d=112026.05 | 0.567 | |
| G-ShapleyN=10,000, d=112026.05 | 0.515 | |
| DSN=10,000, d=112026.05 | 0.508 | |
| DSN=10,000, d=112026.05 | 0.499 | |
| G-ShapleyN=10,000, d=112026.05 | 0.495 | |
| DBN=10,000, d=112026.05 | 0.491 | |
| DBN=10,000, d=112026.05 | 0.491 | |
| Leave-One-OutClassifier=SVM-RBF2022.11 | 0.2 | |
| Leave-One-OutClassifier=Logistic Regression2022.11 | 0.149 |