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Related Questions
- What is the primary cause of label imbalance in machine learning datasets?
- How does oversampling affect the performance of a machine learning model?
- Can you provide an example of a technique used for oversampling in class imbalance problems?
- What are the potential drawbacks of undersampling in addressing label imbalance?
- How does oversampling compare to oversampling in terms of preserving the original distribution of the data?
- Can you explain the concept of synthetic minority over-sampling technique (SMOTE) and its applications?
- In what scenarios is undersampling more effective than oversampling in handling label imbalance?
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