{'rocket': 69, 'vehicle2': 19, 'veg': 4, 'mushroom': 51, 'people': 14, 'baby': 2, 'electrical_devices': 5, 'lamp': 40, 'natural_scenes': 10, 'sea': 71, '42': 42, '1': 1, '10': 10, '20': 20, '30': 30, '40': 40}
5

Class distributions (counts per class):
Retain TRAIN : [2500, 2500, 2500, 2500, 2500, 0, 2500, 2500, 2500, 2500, 2500, 2500, 2500, 2500, 2500, 2500, 2500, 2500, 2500, 2500]
Retain VALID : [500, 500, 500, 500, 500, 0, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500]
Forget TRAIN : [0, 0, 0, 0, 0, 2500, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Forget VALID : [0, 0, 0, 0, 0, 500, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
{'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:  50000
Retain Train Dl:  47500
Forget Train Dl:  2500
Retain Valid Dl:  47500
Forget Valid Dl:  2500
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 76.48287963867188
Retain Accuracy: 92.54851531982422
Zero-Retain Forget (ZRF): 0.9450308084487915
Membership Inference Attack (MIA): 0.2332
Forget vs Retain Membership Inference Attack (MIA): 0.659
Forget vs Test Membership Inference Attack (MIA): 0.677
Test vs Retain Membership Inference Attack (MIA): 0.55
Train vs Test Membership Inference Attack (MIA): 0.54575
Forget Set Accuracy (Df): 0.0
Method Execution Time: 1281.48 seconds
