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Related Questions
- What is the primary purpose of SMOTE in handling imbalanced datasets?
- How does SMOTE differ from traditional imputation methods for missing values in the minority class?
- Can SMOTE be used to impute missing values in the minority class, or is it a separate technique?
- What are the potential drawbacks of using SMOTE for handling imbalanced datasets?
- How does SMOTE impact the performance of machine learning models on imbalanced datasets?
- Can SMOTE be used in conjunction with other techniques for handling imbalanced datasets?
- What are some common scenarios where SMOTE is more suitable than imputing missing values in the minority class?
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