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Related Questions
- What is the impact of undersampling the majority class on the model's ability to generalize to new, unseen data?
- How does undersampling the majority class affect the model's bias and variance tradeoff?
- Can undersampling the majority class lead to overfitting in classification models?
- What are the potential consequences of undersampling the majority class on the model's accuracy on minority class instances?
- How does undersampling the majority class impact the model's ability to capture class imbalance?
- Can undersampling the majority class lead to a loss of information and accuracy in the model?
- What are the potential drawbacks of undersampling the majority class in terms of model interpretability?
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