experiment_summary.json

{
  "experiment_name": "predictive-maintenance-random-forest",
  "mlflow_parent_run_id": "9bc671f6b04f4fc783913cc5a0dcd898",
  "tracking_system": "MLflow",
  "reviewer_tracking_format": "CSV and JSON",
  "exported_run_count": 33,
  "parameter_combinations": 32,
  "cross_validation_folds": 5,
  "selection_metric": "mean_cv_f1",
  "best_parameters": {
    "class_weight": null,
    "max_depth": 16,
    "max_features": "sqrt",
    "min_samples_leaf": 3,
    "n_estimators": 400
  },
  "best_mean_cv_f1": 0.7563717955021831,
  "test_metrics": {
    "test_accuracy": 0.6641924750447914,
    "test_precision": 0.6938363085213877,
    "test_recall": 0.8363784003248071,
    "test_f1": 0.7584683357879234,
    "test_roc_auc": 0.6889620117348952
  }
}