# Monotonic Binning

> Source: https://sukruyusufkaya.com/en/glossary/monotonic-binning
> Updated: 2026-05-13T21:00:56.772Z
> Type: glossary
> Category: veri-bilimi-ve-veri-yonetimi
**TLDR:** A feature transformation technique that bins continuous variables while preserving a monotonic relationship with the target.

<p>Monotonic binning is especially useful in domains such as credit scoring and risk modeling where interpretability is critical. Continuous variables are divided into intervals in such a way that their relationship with the target becomes directionally consistent. This can improve both model stability and business interpretability. The method reduces noise in raw data while creating more controlled decision behavior. However, excessive binning can lead to information loss, so careful calibration is essential.</p>