majority class

The more common label in a class-imbalanced dataset. For example, given a dataset containing 99% negative labels and 1% positive labels, the negative labels are the majority class. Contrast with minority class. See Datasets: Imbalanced datasets in Machine Learning Crash Course for more information.

Practitioners refer to majority class when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.