Imbalanced classes occur when the distribution of classes in a dataset is uneven, which can lead to biased models that favor the majority class. This issue is critical in classification tasks as it can significantly affect the performance and generalization of machine learning models, necessitating specialized techniques to address it.

Imbalanced Classes

Imbalanced classes

distribution of classes

biased models

The majority class in a dataset refers to the class label that has the highest frequency among all the classes in a classification problem. Understanding the majority class is crucial for addressing class imbalance, which can lead to biased models that favor the majority class over minority classes.

majority class

classification tasks

Performance of machine learning models

generalization of machine learning models

Specialized techniques are like special tools or tricks that help us do something really well or solve tricky problems. They are used in lots of different jobs and activities to make things easier or better.

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