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Related Questions
- What are the potential consequences of undersampling the majority class on the performance of a classification model?
- How can oversampling the minority class affect the results of undersampling the majority class?
- What are some common methods used to mitigate the effects of undersampling the majority class?
- Can undersampling the majority class lead to biased models and why?
- How does undersampling the majority class impact the interpretability of the results?
- Are there any scenarios where undersampling the majority class is beneficial, and if so, what are they?
- What are some potential drawbacks of undersampling the majority class in imbalanced datasets, and how can they be addressed?
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