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The metric that balances precision and recall for imbalanced classification is called ________ Score.
Answer: F1
F1 Score = 2 * (Precision * Recall) / (Precision + Recall). Harmonic mean balancing false positives and false negatives. Critical for evaluating models on imbalanced datasets.