How can you address class imbalance in binary classification tasks?

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Class imbalance is a common challenge in binary classification tasks, where one class is significantly overrepresented or underrepresented compared to the other. This can affect the performance and accuracy of machine learning algorithms, as they may tend to favor the majority class or ignore the minority class. In this article, you will learn some techniques to address class imbalance and improve your model's results.

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