Machine Unlearning on Heart (Utility & Privacy Metrics)
73.09Utility ScoreSISA
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| SISATiming=After, Model=XGBoost, Forget ratio=5%, Fine-tuning epochs=52025.07 | 73.09 | 50.22 | 0.97 | |
| SISATiming=Before, Model=XGBoost, Forget ratio=5%, Fine-tuning epochs=52025.07 | 73.06 | 60.28 | 3.24 | |
| RetrainTiming=After, Model=XGBoost, Forget ratio=5%, Fine-tuning epochs=52025.07 | 72.45 | 50.11 | 1.03 | |
| RetrainTiming=Before, Model=XGBoost, Forget ratio=5%, Fine-tuning epochs=52025.07 | 72.43 | 64.58 | 6.1 | |
| EUPG (k=30)Timing=Before, Model=XGBoost, Forget ratio=5%, Fine-tuning epochs=52025.07 | 72.3 | 51.51 | 1.38 | |
| EUPG (k=30)Timing=After, Model=XGBoost, Forget ratio=5%, Fine-tuning epochs=52025.07 | 72.21 | 50.51 | 1.07 | |
| EUPG (ϵ=1, δ=0)Timing=After, Model=XGBoost, Forget ratio=5%, Fine-tuning epochs=52025.07 | 70.74 | 50.12 | 1.04 | |
| EUPG (ϵ=1, δ=0)Timing=Before, Model=XGBoost, Forget ratio=5%, Fine-tuning epochs=52025.07 | 70.72 | 51.36 | 1.09 |