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Related Questions
- What are some common techniques for handling class imbalance in machine learning models?
- Can you explain the concept of oversampling and undersampling in the context of class imbalance?
- How can feature engineering strategies help mitigate the effects of class imbalance?
- What is the difference between oversampling and SMOTE (Synthetic Minority Over-sampling Technique)?
- Can you provide examples of feature engineering techniques that can help reduce class imbalance?
- How can data augmentation techniques be used to address class imbalance?
- What are some common pitfalls to avoid when using class weighting as a feature engineering strategy for class imbalance?
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