When both precision and recall are important for a problem, one might consider optimizing the ________ score.
- Accuracy
- F1 Score
- ROC AUC
- Specificity
The F1 Score is a measure that balances both precision and recall. It is especially useful when you want to consider both false positives and false negatives in your classification problem.
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