Noisy label detection on CPU
0.86AUCLSH-Shapley
Evaluation Results
| Method | Links | |
|---|---|---|
| LSH-ShapleyN=8,192, d=212026.05 | 0.86 | |
| KNNN=8,192, d=212026.05 | 0.844 | |
| CS-SHAPLEYClassifier=SVM-RBF2022.11 | 0.808 | |
| CS-SHAPLEYClassifier=Logistic Regression2022.11 | 0.785 | |
| TMC-ShapleyClassifier=Logistic Regression2022.11 | 0.779 | |
| TMC-ShapleyClassifier=SVM-RBF2022.11 | 0.671 | |
| Beta ShapleyClassifier=Logistic Regression2022.11 | 0.654 | |
| DSN=8,192, d=212026.05 | 0.541 | |
| Beta ShapleyClassifier=SVM-RBF2022.11 | 0.516 | |
| DBN=8,192, d=212026.05 | 0.513 | |
| G-ShapleyN=8,192, d=212026.05 | 0.499 | |
| Leave-One-OutClassifier=Logistic Regression2022.11 | 0.207 | |
| Leave-One-OutClassifier=SVM-RBF2022.11 | 0.189 |