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deepfake-detection
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ensemble
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{
  "model_order": [
    "aide",
    "cospy",
    "effort",
    "fsd",
    "npr",
    "universal",
    "yermandy"
  ],
  "algorithm": "LGBMClassifier",
  "hyperparams": {
    "colsample_bytree": 1.0,
    "learning_rate": 0.05,
    "max_depth": 4,
    "min_child_weight": 0.001,
    "n_estimators": 200,
    "random_state": 42,
    "reg_alpha": 0.0,
    "reg_lambda": 1.0,
    "subsample": 1.0
  },
  "cv_auc": 0.9705,
  "cv_f1_at_05": 0.9033,
  "optimal_threshold": 0.41,
  "optimal_f1": 0.9065,
  "ece_before_calibration": 0.0096,
  "ece_after_calibration": 0.0281,
  "calibrated_auc": 0.9705,
  "calibrated_optimal_threshold": 0.35,
  "calibrated_optimal_f1": 0.9065,
  "calibrator_saved": true,
  "n_samples": 10000,
  "n_real": 5000,
  "n_fake": 5000,
  "measured_model_aucs": {
    "aide": 0.7478,
    "cospy": 0.8679,
    "effort": 0.8353,
    "fsd": 0.8961,
    "npr": 0.6373,
    "universal": 0.6711,
    "yermandy": 0.5912
  },
  "training_date": "2026-04-12",
  "training_data": "monolith_eval_medium_15499_patched",
  "note": "7-model LGBMClassifier trained on 15,499-sample medium eval. Replaces small-eval (50 sample) artifacts."
}