A data scientist is preparing a dataset for training a classification model. The dataset contains 10,000 records with a binary target variable where 9,500 belong to class A and 500 belong to class B. Which technique should the scientist use to address the class imbalance?
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CompTIA often tests the misconception that any data augmentation (like adding noise) or dimensionali...