{'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 : [5000, 5000, 5000, 5000, 5000, 0, 5000, 5000, 5000, 5000]
Retain VALID : [1000, 1000, 1000, 1000, 1000, 0, 1000, 1000, 1000, 1000]
Forget TRAIN : [0, 0, 0, 0, 0, 5000, 0, 0, 0, 0]
Forget VALID : [0, 0, 0, 0, 0, 1000, 0, 0, 0, 0]
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  45000
Forget Train Dl:  5000
Retain Valid Dl:  45000
Forget Valid Dl:  5000
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 5000 samples
Set1 Distribution: 5000 samples
Set2 Distribution: 5000 samples
Set1 Distribution: 5000 samples
Set2 Distribution: 5000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 91.51074981689453
Retain Accuracy: 96.3645248413086
Zero-Retain Forget (ZRF): 0.8166453242301941
Membership Inference Attack (MIA): 0.5758
Forget vs Retain Membership Inference Attack (MIA): 0.582
Forget vs Test Membership Inference Attack (MIA): 0.5755
Test vs Retain Membership Inference Attack (MIA): 0.549
Train vs Test Membership Inference Attack (MIA): 0.526
Forget Set Accuracy (Df): 91.71281433105469
Method Execution Time: 2335.84 seconds
