A data scientist is evaluating a scikit-learn RandomForestClassifier on a dataset that comfortably fits in memory on a single node. They run cross_val_score(model, X, y, cv=5, scoring='f1') and want to report a single, robust estimate of the model's generalization performance for stakeholders. Which value should they report?