champion_meta.json

{
  "selection_metric": "f1_score_mean",
  "tie_breaker": "roc_auc_mean",
  "model_name": "LogisticRegression",
  "aggregate": {
    "accuracy_mean": 0.8433333333333333,
    "accuracy_std": 0.006110100926607792,
    "precision_mean": 0.7548670465337132,
    "precision_std": 0.01265289551507199,
    "recall_mean": 0.8609625668449198,
    "recall_std": 0.005347593582887722,
    "f1_score_mean": 0.8043680832574257,
    "f1_score_std": 0.005570235854094486,
    "roc_auc_mean": 0.9265061819093017,
    "roc_auc_std": 0.003592490236118314
  },
  "cv_folds": 3,
  "timestamp": "2025-10-08T07:00:18.664031+00:00",
  "notes": "Model will be (re)trained on training split below; final persisted champion artifact occurs after training.",
  "library_versions": {
    "python": "3.11.13",
    "pandas": "2.3.3",
    "numpy": "2.3.3",
    "sklearn": "1.7.2",
    "xgboost": "3.0.5",
    "torch": "2.8.0+cu128",
    "mlflow": "3.4.0",
    "shap": "0.48.0",
    "fastapi": "0.118.0"
  },
  "persisted_path": "models/champion_model.pkl",
  "holdout_metrics": {
    "accuracy": 0.82,
    "precision": 0.7230769230769231,
    "recall": 0.8392857142857143,
    "f1_score": 0.7768595041322314,
    "roc_auc": 0.9103343465045592
  },
  "holdout_timestamp": "2025-10-08T07:00:38.638734+00:00",
  "decision_threshold": 0.38,
  "decision_threshold_metrics": {
    "precision": 0.6973684210526315,
    "recall": 0.9464285714285714,
    "f1_score": 0.803030303030303
  },
  "diagnostics_generated": "2025-10-08T07:00:39.293084+00:00",
  "shap_generated": true,
  "shap_timestamp": "2025-10-08T07:00:40.087962+00:00"
}