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Related Questions
- How does the F1 score account for class imbalance in multi-class classification tasks?
- What are the differences in using F1 score versus accuracy for evaluating model performance in multi-class classification?
- Can you provide examples of scenarios where F1 score is more suitable than accuracy for evaluating model performance?
- How does the choice of evaluation metric (F1 score vs accuracy) impact model selection and hyperparameter tuning in multi-class classification?
- In what situations would accuracy be a more suitable choice than F1 score for evaluating model performance in multi-class classification?
- Can you explain the trade-offs between using F1 score and accuracy in multi-class classification tasks?
- How does the F1 score handle different class sizes and their respective misclassifications in multi-class classification tasks?
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