The algorithm undersamples the majority class to balance the dataset.

The undersampled data led to inaccurate results.

Undersampling is a technique used in data analysis to reduce the number of samples by sampling at a lower rate than normal.

Researchers often undersample the population when conducting surveys.

Undersamplings are commonly used in data analysis to reduce the size of a dataset.