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Related Questions
- What are the most common techniques used to handle class imbalance in datasets?
- How does SMOTE (Synthetic Minority Over-sampling Technique) work to balance classes?
- What are the potential downsides of using SMOTE, and how can they be mitigated?
- Can SMOTE be used in conjunction with other techniques, such as undersampling or ensemble methods?
- How does SMOTE perform on datasets with multiple classes and complex relationships between them?
- What are some strategies for selecting the optimal parameters for SMOTE in a given dataset?
- How does SMOTE compare to other oversampling methods, such as random oversampling or borderline SMOTE?
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