High-value data removal on MNIST-2 binarized (test)
0.006Weighted Accuracy DropBeta Shapley
Evaluation Results
| Method | Links | |
|---|---|---|
| Beta ShapleyClassifier=SVM-RBF2022.11 | 0.006 | |
| TMC-ShapleyClassifier=Logistic Regression2022.11 | 0.007 | |
| CS-SHAPLEYClassifier=SVM-RBF2022.11 | 0.007 | |
| TMC-ShapleyClassifier=SVM-RBF2022.11 | 0.007 | |
| Leave-One-OutClassifier=SVM-RBF2022.11 | 0.007 | |
| Leave-One-OutClassifier=Logistic Regression2022.11 | 0.008 | |
| Beta ShapleyClassifier=Logistic Regression2022.11 | 0.01 | |
| CS-SHAPLEYClassifier=Logistic Regression2022.11 | 0.014 |