
Retain class distribution for seed 10:
Class 0: 4500
Class 1: 4500
Class 2: 4500
Class 3: 4500
Class 4: 4500
Class 5: 4500
Class 6: 4500
Class 7: 4500
Class 8: 4500
Class 9: 4500

Forget class distribution for seed 10:
Class 0: 500
Class 1: 500
Class 2: 500
Class 3: 500
Class 4: 500
Class 5: 500
Class 6: 500
Class 7: 500
Class 8: 500
Class 9: 500

Updated class distribution:
Retain set:
  Class 0: 4500
  Class 1: 4500
  Class 2: 4500
  Class 3: 4500
  Class 4: 4500
  Class 5: 4500
  Class 6: 4500
  Class 7: 4500
  Class 8: 4500
  Class 9: 4500
Forget set:
  Class 0: 500
  Class 1: 500
  Class 2: 500
  Class 3: 500
  Class 4: 500
  Class 5: 500
  Class 6: 500
  Class 7: 500
  Class 8: 500
  Class 9: 500
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
MIA Attack Accuracy with XGBoost: 0.7250
Set1 Distribution: 5000 samples
Set2 Distribution: 5000 samples
MIA Attack Accuracy with XGBoost: 0.4890
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.6640
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5105
Test Accuracy: 91.552734375
Retain Accuracy: 93.99263000488281
Zero-Retain Forget (ZRF): 0.8250818252563477
Membership Inference Attack (MIA): 0.6812
Forget vs Retain Membership Inference Attack (MIA): 0.725
Forget vs Test Membership Inference Attack (MIA): 0.489
Test vs Retain Membership Inference Attack (MIA): 0.664
Train vs Test Membership Inference Attack (MIA): 0.5105
Forget Set Accuracy (Df): 93.75459289550781
Method Execution Time: 1905.38 seconds
