What are some real-world examples of class imbalance in datasets?

What are some real-world examples of class imbalance in datasets?

Class imbalance occurs when certain classes in a dataset are underrepresented. For example, in fraud detection, fraudulent transactions are much rarer than legitimate ones.

Can you give me another example?

Sure! In medical diagnosis, diseases like cancer may have fewer positive cases compared to healthy patients, leading to imbalance.

How does class imbalance affect machine learning models?

It can lead to biased models that perform poorly on the minority class, as they may not learn enough from the underrepresented data.

What techniques can be used to address class imbalance?

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