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