A data scientist trains a binary classifier to detect defective units on a manufacturing line, where only about 3% of units are defective. Management wants a single scalar metric that summarizes the confusion matrix in a balanced way, accounting for true positives, true negatives, false positives, and false negatives even under this severe class imbalance. Which evaluation metric best satisfies this requirement?