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Related Questions
- What are the common metrics used to evaluate the performance of a classification model?
- How do precision and recall relate to F1-score in machine learning?
- What are the advantages and disadvantages of using accuracy as a model evaluation metric?
- Can you explain the concept of class imbalance and its impact on model evaluation?
- How does the F1-score handle class imbalance issues in machine learning models?
- What are some common scenarios where accuracy is not a reliable metric for model evaluation?
- Can you compare the F1-score with other metrics such as precision and recall in terms of their sensitivity to class imbalance?
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