models/meta_learner/weights.json

{
  "features": [
    "local_finetuned",
    "clip_unifd",
    "dire",
    "frequency_domain",
    "face_specialist"
  ],
  "coef": [
    0.990119,
    0.381553,
    0.416438,
    0.320266,
    0.813823
  ],
  "intercept": 0.12062,
  "scaler_mean": [
    0.550616,
    0.790791,
    0.5368,
    0.551742,
    0.408036
  ],
  "scaler_std": [
    0.444344,
    0.370426,
    0.246613,
    0.289937,
    0.416833
  ],
  "best_C": 0.1,
  "loo_auc": 0.9167,
  "loo_accuracy": 0.817,
  "loo_recall_ai": 0.8182,
  "loo_specificity_real": 0.8158,
  "n_train": 235,
  "trained_on": "v3_eval + classifier_test + mirage_news (NYT/Midjourney)"
}