What is class imbalance in machine learning?

What is class imbalance in machine learning?

Class imbalance occurs when the classes in a dataset are not represented equally, leading to biased models.

Can you give me an example of class imbalance?

Sure! In a medical dataset, if 95% of the samples are healthy patients and only 5% are sick, that's class imbalance.

How does class imbalance affect model performance?

It can lead to models that are biased towards the majority class, resulting in poor predictions for the minority class.

What techniques can be used to handle class imbalance?

Common techniques include resampling methods, using different algorithms, and applying cost-sensitive learning.