Noisy Label Detection on Phoneme
0.883AUCLSH-Shapley
Evaluation Results
| Method | Links | |
|---|---|---|
| LSH-ShapleyN=5,404, d=52026.05 | 0.883 | |
| KNNN=5,404, d=52026.05 | 0.872 | |
| LSH-ShapleyN=5,404, d=52026.05 | 0.741 | |
| KNNN=5,404, d=52026.05 | 0.712 | |
| G-ShapleyN=5,404, d=52026.05 | 0.658 | |
| CS-SHAPLEYClassifier=SVM-RBF2022.11 | 0.579 | |
| CS-SHAPLEYClassifier=Logistic Regression2022.11 | 0.575 | |
| DSN=5,404, d=52026.05 | 0.564 | |
| TMC-ShapleyClassifier=SVM-RBF2022.11 | 0.555 | |
| TMC-ShapleyClassifier=Logistic Regression2022.11 | 0.535 | |
| DSN=5,404, d=52026.05 | 0.53 | |
| DBN=5,404, d=52026.05 | 0.508 | |
| DBN=5,404, d=52026.05 | 0.508 | |
| G-ShapleyN=5,404, d=52026.05 | 0.507 | |
| Beta ShapleyClassifier=SVM-RBF2022.11 | 0.496 | |
| Beta ShapleyClassifier=Logistic Regression2022.11 | 0.416 | |
| Leave-One-OutClassifier=SVM-RBF2022.11 | 0.255 | |
| Leave-One-OutClassifier=Logistic Regression2022.11 | 0.222 |