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Related Questions
- How does oversampling compare to undersampling in handling imbalanced datasets?
- What are the potential downsides of using undersampling to reduce the majority class size?
- Can undersampling lead to biased model performance on minority classes?
- How does undersampling affect the accuracy of the model on the majority class?
- What are some alternative methods to undersampling for dealing with imbalanced datasets?
- Can undersampling be used in conjunction with other techniques, such as oversampling or cost-sensitive learning?
- How does the choice of undersampling method (e.g. random undersampling, TMUS) impact model performance?
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