quantile bucketing
Distributing a feature's values into buckets so that each bucket contains the same (or almost the same) number of examples.
Plain English Explanation
Distributing a feature's values into buckets so that each bucket contains the same (or almost the same) number of examples. For example, the following figure divides 44 points into 4 buckets, each of which contains 11 points. In order for each bucket in the figure to contain the same number of points, some buckets span a different width of x-values. See Numerical data: Binning in Machine Learning Crash Course for more information.
How is it used?
Practitioners refer to quantile bucketing when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.