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Related Questions
- What are some common evaluation metrics used in machine learning to assess model performance?
- How do precision and recall metrics relate to each other in evaluating model performance?
- What is the difference between accuracy and F1-score in model evaluation?
- Can you explain how to use confusion matrices to identify areas of improvement in model performance?
- How do evaluation metrics like mean squared error (MSE) and mean absolute error (MAE) apply to regression models?
- What role do precision, recall, and F1-score play in evaluating imbalanced datasets?
- How can evaluation metrics help identify class imbalance issues in a model?
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