Answer / Surendra Kumar Prajapati

A class-imbalanced dataset is a dataset where one class has significantly more examples than the other classes, leading to imbalanced results when using standard classification algorithms. This can be addressed through techniques such as oversampling the minority class, undersampling the majority class, or using cost-sensitive learning.

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