Data Imbalance
Expanded definition
Data imbalance occurs when one class in a classification problem has significantly more samples than another, leading to biased model training. This imbalance can result in models that perform well on the majority class but poorly on the minority class, which is often of greater interest. Techniques to address data imbalance include resampling methods, synthetic data generation, and the use of specialized algorithms designed to handle such situations.
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Data Imbalance FAQ
What is Data Imbalance?
A situation in which classes in a dataset are not represented equally.
How is Data Imbalance used in AI systems?
Data imbalance occurs when one class in a classification problem has significantly more samples than another, leading to biased model training. This imbalance can result in models that perform well on the majority class but poorly on the minority class, which is often of greater interest. Techniques to address data imbalance include resampling methods, synthetic data generation, and the use of sp...
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