Counterfactual Explanation Generation on Graduate Admission Protocol A B=4
66.25SparsityDICE-R
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| DICE-RClassifier=Neural Network, Protocol=A, B=42026.02 | 66.25 | 30.93 | 42.15 | 100 | 100 | 85.3 | |
| COUNTERFLOWNETClassifier=Neural Network, Protocol=A, B=42026.02 | 55.41 | 46.18 | 50.37 | 99.53 | 100 | 100 | |
| L2CClassifier=Neural Network, Protocol=A, B=42026.02 | 42.23 | 37.9 | 39.94 | 100 | 100 | 100 | |
| DICE-GClassifier=Neural Network, Protocol=A, B=42026.02 | 23.05 | 47.54 | 31.04 | 92.91 | 100 | 66.69 | |
| MCCEClassifier=Neural Network, Protocol=A, B=42026.02 | 17.39 | 22.98 | 19.51 | 43.79 | 84.6 | 79.11 |