Quantile binning Data Engineering; Machine Learning
noun phrase
Definition: A discretization method that transforms a continuous variable into bins containing approximately equal numbers of observations, so that bin boundaries are determined by empirical quantiles [Labovich 2025].
Example in context: “As such, the time left till failure was transformed into a categorical variable by using equal-frequency binning (also referred to as quantile binning or quantization), which is a technique that transforms continuous variables into categorical variables by segmenting the data into bins that contain an equal count of observations.” [Tawk et al. 2025]
Synonyms: equal-frequency binning; quantile discretization
Related terms: discretization; binning; equal-width binning; feature engineering; categorical encoding