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Related Questions
- What are the most common techniques used to handle class imbalance in machine learning models?
- How can ignoring class imbalance lead to biased model performance and decision-making?
- What are the potential consequences of deploying a model that has not been optimized for class imbalance?
- Can you explain the concept of false positives and false negatives in the context of class imbalance?
- How does class imbalance affect the accuracy of model predictions, and what are the implications for real-world applications?
- What are some common metrics used to evaluate model performance in the context of class imbalance?
- How can data augmentation and oversampling techniques be used to address class imbalance in machine learning?
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