Counterfactual Explanation Generation on Student Performance Protocol A B=4
87.6SparsityDICE-R
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| DICE-RClassifier=Logistic Regression, Protocol=A, B=42026.02 | 87.6 | 13.64 | 23.6 | 100 | 100 | 98.99 | |
| COUNTERFLOWNETClassifier=Logistic Regression, Protocol=A, B=42026.02 | 71.18 | 31.44 | 43.61 | 99.63 | 100 | 100 | |
| L2CClassifier=Logistic Regression, Protocol=A, B=42026.02 | 55.32 | 29.54 | 38.51 | 100 | 100 | 100 | |
| COPAClassifier=Logistic Regression, Protocol=A, B=42026.02 | 50.45 | 25.28 | 33.68 | 67.26 | 67.26 | 95.32 | |
| DICE-GClassifier=Logistic Regression, Protocol=A, B=42026.02 | 39.2 | 39.88 | 38.54 | 84.83 | 100 | 60.77 | |
| MCCEClassifier=Logistic Regression, Protocol=A, B=42026.02 | 25.97 | 24.97 | 25.46 | 60.98 | 93.1 | 67.7 |