imbalanced data

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Imbalanced data in classification refers to a dataset where the distribution of class labels is uneven, with one class significantly outnumbering the other. live draw data sgp 2022 This imbalance can pose challenges for machine learning models, as they might exhibit bias towards the majority class, leading to poor performance in predicting the minority class

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