Machine Unlearning on Heart (test)
73.38AccuracyRetrain
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Retrainstate=Before unlearning, model=MLP2025.07 | 73.38 | 53.81 | 2.54 | |
| Certified-SPstate=Before unlearning, epsilon=1, delta=1e-5, model=MLP2025.07 | 73.38 | 53.81 | 2.54 | |
| EUPGstate=After unlearning, epsilon=1, delta=0, model=MLP2025.07 | 73.37 | 50.23 | 1 | |
| EUPGstate=Before unlearning, epsilon=1, delta=0, model=MLP2025.07 | 73.35 | 50.77 | 1.15 | |
| Certified-SPstate=After unlearning, epsilon=1, delta=1e-5, model=MLP2025.07 | 73.33 | 50.28 | 1.03 | |
| Retrainstate=After unlearning, model=MLP2025.07 | 73.29 | 49.96 | 1.05 | |
| EUPGstate=After unlearning, k=30, model=MLP2025.07 | 73.29 | 50.23 | 0.99 | |
| EUPGstate=Before unlearning, k=30, model=MLP2025.07 | 73.25 | 51.37 | 1.4 | |
| SISAstate=After unlearning, model=MLP2025.07 | 72.99 | 50.05 | 1.18 | |
| SISAstate=Before unlearning, model=MLP2025.07 | 72.98 | 56.04 | 2.73 |