Answer / Indresh Kumar

An imbalanced dataset is one where one class has significantly more instances than another, leading to poor model performance on the minority class. To address this issue, techniques such as oversampling (SMOTE), undersampling, and cost-sensitive learning can be employed to balance the data or adjust the learning process accordingly.

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