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Related Questions
- What is the primary purpose of SMOTE in handling imbalanced datasets?
- How does SMOTE create synthetic minority data points to balance the dataset?
- Can SMOTE be used in combination with other ensemble methods to improve classification performance?
- What are the common challenges associated with using SMOTE in imbalanced datasets?
- How does SMOTE compare to other over-sampling techniques, such as random over-sampling?
- Can SMOTE be used with high-dimensional datasets, and if so, how does it perform?
- What are some common applications of SMOTE in real-world problems, such as fraud detection or medical diagnosis?
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