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Related Questions
- What is class imbalance, and why is it a common problem in machine learning?
- Can you explain the concept of oversampling and how it is used to address class imbalance?
- How does undersampling work in the context of class imbalance, and what are its pros and cons?
- What are some common techniques for oversampling, and how do they differ from each other?
- Can you provide examples of when undersampling might be preferred over oversampling?
- How do different machine learning algorithms handle class imbalance, and what are their limitations?
- What are some strategies for avoiding class imbalance altogether, and do they always work?
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