What is class imbalance, and why is it a problem for machine learning models? What techniques can you use to address imbalanced datasets?

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Class imbalance occurs when the distribution of classes in a classification dataset is highly uneven. For example, in fraud detection, fraudulent transactions might represent only 0.1 percent of all transactions.