
📌S Retain class distribution for seed 5:
Class 0: 5323
Class 1: 6142
Class 2: 5358
Class 3: 5531
Class 4: 5242
Class 5: 4821
Class 6: 5318
Class 7: 5665
Class 8: 5251
Class 9: 5349

📌S Forget class distribution for seed 5:
Class 0: 600
Class 1: 600
Class 2: 600
Class 3: 600
Class 4: 600
Class 5: 600
Class 6: 600
Class 7: 600
Class 8: 600
Class 9: 600
79
{'lower_bound': 1, 'exponent': 1, 'magnitude_diff': None, 'min_layer': -1, 'max_layer': -1, 'forget_threshold': 1, 'dampening_constant': 1, 'selection_weighting': 10}
Valid (Test) Dl:  10000
Train Dl:  60000
Retain Train Dl:  54000
Forget Train Dl:  6000
Retain Valid Dl:  54000
Forget Valid Dl:  6000
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 6000 samples
Set1 Distribution: 6000 samples
Set2 Distribution: 6000 samples
Set1 Distribution: 6000 samples
Set2 Distribution: 6000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 99.53125
Retain Accuracy: 99.43707275390625
Zero-Retain Forget (ZRF): 0.8043038845062256
Membership Inference Attack (MIA): 0.8071666666666667
Forget vs Retain Membership Inference Attack (MIA): 0.5408333333333334
Forget vs Test Membership Inference Attack (MIA): 0.5258333333333334
Test vs Retain Membership Inference Attack (MIA): 0.52275
Train vs Test Membership Inference Attack (MIA): 0.49525
Forget Set Accuracy (Df): 99.2094497680664
Method Execution Time: 663.97 seconds
