Glossary term
Glossary term
Architecture
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.
Created for this library
A pricing team uses quantile bucketing on continuous customer tenure so each bucket has a similar number of customers.
A credit team uses quantile bucketing on income features so its scorecard treats income as deciles rather than raw values.
A retail analytics team uses quantile bucketing on session duration so the production model is robust to extreme values.
Definition source: Google for Developers Machine Learning Glossary | Creative Commons Attribution 4.0 License