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Related Questions
- What are the advantages and disadvantages of combining SMOTE with undersampling?
- How can SMOTE be used in conjunction with ensemble methods, such as bagging or boosting, to improve classification performance?
- What are some common techniques used to combine SMOTE with other oversampling methods, such as Random Over-Sampling (ROS) or Borderline SMOTE?
- Can SMOTE be used to handle imbalanced data with multiple classes, and if so, how?
- How does the choice of combination technique (e.g. SMOTE + undersampling, SMOTE + ensemble methods) impact the performance of the resulting model?
- What are some common evaluation metrics used to assess the performance of SMOTE-based combinations?
- Can SMOTE be used in conjunction with feature selection or dimensionality reduction techniques to improve its performance?
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