thresholds_calibrated.json

{
  "reconstruction_thresholds": {
    "thresholds": {
      "strict": {
        "value": 0.055736735463142395,
        "expected_fpr": 0.01,
        "description": "99th percentile - very low false positive rate"
      },
      "balanced": {
        "value": 0.039442386478185654,
        "expected_fpr": 0.05,
        "description": "95th percentile - balanced detection"
      },
      "sensitive": {
        "value": 0.03894944489002228,
        "expected_fpr": 0.025,
        "description": "Mean + 2 std - sensitive detection"
      }
    },
    "statistics": {
      "real_mean": 0.0183913204818964,
      "real_median": 0.015646658837795258,
      "real_std": 0.010279062204062939,
      "real_95th": 0.039442386478185654,
      "real_99th": 0.055736735463142395,
      "fake_mean": 0.3526953160762787,
      "fake_median": 0.34715136885643005,
      "separation": 19.177268981933594,
      "num_real_samples": 28000,
      "num_fake_samples": 10000
    }
  },
  "model_info": {
    "best_epoch": 1,
    "best_val_loss": 0.010239500302954443,
    "total_epochs": 2,
    "datasets": [
      "CIFAR-10",
      "CIFAR-100",
      "STL-10-train",
      "STL-10-unlabeled"
    ],
    "training_time_minutes": 21.360870798428852
  }
}