High-value data removal on MNIST-10 multi-class (test)
5Weighted Accuracy DropLeave-One-Out
Evaluation Results
| Method | Links | |
|---|---|---|
| Leave-One-OutClassifier=Logistic Regression2022.11 | 5 | |
| Beta ShapleyClassifier=Logistic Regression2022.11 | 6.4 | |
| Beta ShapleyClassifier=SVM-RBF2022.11 | 9.3 | |
| Leave-One-OutClassifier=SVM-RBF2022.11 | 10 | |
| TMC-ShapleyClassifier=Logistic Regression2022.11 | 11.7 | |
| CS-SHAPLEYClassifier=Logistic Regression2022.11 | 12.8 | |
| CS-SHAPLEYClassifier=SVM-RBF2022.11 | 20.3 | |
| TMC-ShapleyClassifier=SVM-RBF2022.11 | 24.7 |