cat boost

Type: Concept

As of November 2026, cat boost has been mentioned in one podcast episode on Kaggle (Aug 2025). Discussed as a machine learning tool used in the context of medical data modeling.

CatBoost is an open-source software library developed by Yandex. It provides a gradient boosting framework which, among other features, attempts to solve for categorical features using a permutation-driven alternative to the classical algorithm. It works on Linux, Windows, macOS, and is available in Python, R, and models built using CatBoost can be used for predictions in C++, Java, C#, Rust, Core ML, ONNX, and PMML. The source code is licensed under Apache License and available on GitHub.