Which technique is used to handle imbalanced datasets in classification problems? Machine Learning🤖?
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Answer: B) SMOTE (Synthetic Minority Over-sampling Technique)
Explanation: SMOTE is a technique used to handle imbalanced datasets by generating synthetic samples for the minority class.
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