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Description: The generation of imbalanced data refers to the process of creating synthetic data aimed at addressing the issue of class imbalance in datasets. This phenomenon occurs when one class of data is overrepresented compared to others, which can lead machine learning models to be trained in a biased manner, favoring the majority class and […]