What is Data Imbalance in Machine Learning?

This content originally appeared on Hacker Noon and was authored by Modzy

Data imbalance, or imbalanced classes, is a common problem in machine learning classification where the training dataset contains a disproportionate ratio of samples in each class.

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This content originally appeared on Hacker Noon and was authored by Modzy

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