model_metadata.json

{
  "model_type": "LogisticRegression",
  "vectorizer": "TfidfVectorizer",
  "training_date": "2025-10-15T04:17:26.260481",
  "accuracy": 0.9372946330777656,
  "auc_roc": 0.9522242964677188,
  "cv_mean_score": 0.934889906014672,
  "cv_std_score": 0.004096827576656105,
  "n_samples": 18258,
  "n_train_samples": 14606,
  "n_test_samples": 3652,
  "n_features": 8000,
  "test_size": 0.2,
  "random_state": 42,
  "confusion_matrix": [
    [
      3101,
      158
    ],
    [
      71,
      322
    ]
  ],
  "hyperparameters": {
    "max_iter": 1000,
    "solver": "saga",
    "C": 1.0,
    "class_weight": "balanced"
  }
}