
Retain class distribution for seed 4:
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 4:
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: 0.4945
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.6600
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5105
Test Accuracy: 91.552734375
Retain Accuracy: 93.9489517211914
Zero-Retain Forget (ZRF): 0.826194167137146
Membership Inference Attack (MIA): 0.6864
Forget vs Retain Membership Inference Attack (MIA): 0.725
Forget vs Test Membership Inference Attack (MIA): 0.4945
Test vs Retain Membership Inference Attack (MIA): 0.66
Train vs Test Membership Inference Attack (MIA): 0.5105
Forget Set Accuracy (Df): 94.18888092041016
Method Execution Time: 1748.91 seconds
