Publish portable CSV and JSON experiment tracking evidence

README.md

@@ -38,7 +38,7 @@ The portable reviewer bundle contains:
 - `confusion_matrix.png`: held-out test confusion matrix
 - `experiment_summary.json`: experiment configuration and best-result summary
 
-The local `mlflow.db` is intentionally excluded because it contains machine-specific artifact paths.
+Reviewers do not need the local MLflow database; all run parameters, metrics, tags, statuses, and timestamps are provided in portable CSV and JSON files.
 
 ## Usage
 

experiment_summary.json

@@ -1,7 +1,6 @@
 {
   "experiment_name": "predictive-maintenance-random-forest",
   "mlflow_parent_run_id": "27ff9f64af684cb6a7abc757d9afe136",
-  "tracking_backend": "MLflow with local SQLite",
   "exported_run_count": 33,
   "parameter_combinations": 32,
   "cross_validation_folds": 5,
@@ -20,5 +19,8 @@
     "test_recall": 0.8363784003248071,
     "test_f1": 0.7584683357879234,
     "test_roc_auc": 0.6889620117348952
-  }
-}
+  },
+  "tracking_system": "MLflow",
+  "reviewer_tracking_format": "CSV and JSON",
+  "reviewer_requires_database": false
+}

mlflow_runs.csv

@@ -1,34 +1,34 @@
-run_id,experiment_id,status,artifact_uri,start_time,end_time,metrics.f1_rank,metrics.mean_cv_f1,metrics.std_cv_f1,metrics.mean_cv_precision,metrics.mean_cv_recall,metrics.mean_cv_accuracy,metrics.mean_cv_roc_auc,metrics.test_recall,metrics.best_mean_cv_f1,metrics.test_roc_auc,metrics.test_precision,metrics.test_f1,metrics.test_accuracy,params.max_features,params.n_estimators,params.min_samples_leaf,params.class_weight,params.max_depth,params.random_state,params.best_n_estimators,params.best_min_samples_leaf,params.best_class_weight,params.training_rows,params.cv_folds,params.feature_count,params.best_max_depth,params.best_max_features,tags.mlflow.user,tags.mlflow.source.type,tags.mlflow.parentRunId,tags.mlflow.source.name,tags.mlflow.runName,tags.dataset,tags.selection_metric,tags.model_family
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