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The metric that balances precision and recall for imbalanced classification is called ________ Score.

  1. F1
  2. L
  3. O-RAN
  4. 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.

Topic Data Science
Exam Relevance Banking, SSC JE, UPSC
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