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Related Questions
- Can data preprocessing techniques like feature scaling and normalization affect the class distribution in imbalanced datasets?
- How does feature selection impact the class imbalance problem, and what techniques can be used to mitigate its effects?
- What are some common data preprocessing techniques that can exacerbate class imbalance, and how can they be avoided?
- Can oversampling or undersampling the minority class during data preprocessing affect the performance of machine learning models on imbalanced datasets?
- How does normalization impact the class imbalance problem, and are there any normalization techniques that can help address it?
- Can data preprocessing techniques like dimensionality reduction affect the class imbalance problem, and if so, how can it be addressed?
- What are some best practices for data preprocessing when dealing with class imbalance, and how can they be applied to real-world datasets?
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