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deepfake-detection
ensemble
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ensemble
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{
  "model_order": [
    "fakestormer",
    "sbi",
    "dfd_fcg",
    "pwtf_dvd",
    "lipfd",
    "recce",
    "mintime",
    "npr_video",
    "univfd_video"
  ],
  "algorithm": "XGBClassifier",
  "hyperparams": {
    "learning_rate": 0.05,
    "max_depth": 3,
    "n_estimators": 300,
    "random_state": 42,
    "reg_lambda": 10.0
  },
  "cv_auc": 0.8898,
  "cv_f1_at_05": 0.8133,
  "optimal_threshold": 0.48,
  "optimal_f1": 0.8147,
  "ece_before_calibration": 0.0219,
  "ece_after_calibration": 0.0221,
  "calibrated_auc": 0.8898,
  "calibrated_optimal_threshold": 0.48,
  "calibrated_optimal_f1": 0.8141,
  "calibrator_saved": true,
  "n_samples": 1999,
  "n_real": 999,
  "n_fake": 1000,
  "measured_model_aucs": {
    "fakestormer": 0.6618,
    "sbi": 0.6781,
    "dfd_fcg": 0.5531,
    "pwtf_dvd": 0.585,
    "lipfd": 0.6312,
    "recce": 0.6625,
    "mintime": 0.5813,
    "npr_video": 0.8022,
    "univfd_video": 0.6798
  },
  "training_date": "2026-04-12",
  "training_data": "monolith_eval_medium_15499_patched",
  "note": "9-model XGBClassifier trained on 15,499-sample medium eval. Replaces small-eval (50 sample) artifacts."
}