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Related Questions
- What is the difference between class weighting techniques and sampling methods in machine learning?
- Can you explain the concept of class imbalance and how class weighting can help address it?
- What are the common class weighting methods used in machine learning, such as oversampling, undersampling, and SMOTE?
- How does class weighting affect the performance of machine learning models on imbalanced datasets?
- What are some real-world scenarios where class weighting is particularly useful, and how can it be applied?
- What are the limitations of class weighting, and when might it not be effective?
- How does class weighting relate to other techniques for handling class imbalance, such as cost-sensitive learning and ensemble methods?
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