What are some real-world examples of class imbalance?

What are some real-world examples of class imbalance?

Class imbalance occurs when certain classes in a dataset are underrepresented. Examples include fraud detection, where fraudulent transactions are rare compared to legitimate ones, and medical diagnosis, where certain diseases may have fewer cases.

Can you explain why class imbalance is a problem?

Class imbalance can lead to biased models that perform poorly on underrepresented classes, resulting in high false negative rates and missed opportunities for detection.

How can we address class imbalance in machine learning?

Common techniques include resampling methods like oversampling the minority class, undersampling the majority class, and using algorithms that are robust to class imbalance.

Are there any industries particularly affected by class imbalance?

Yes, industries like finance, healthcare, and cybersecurity often face significant class imbalance, impacting their predictive modeling efforts.