Description
Trains machine-learning models with gradient boosting on decision trees, including native handling of categorical features. It is useful for data scientists, researchers, and developers building prediction models from structured data.
This Git package is a programming library and toolset, not a simple desktop app. Model quality depends on data, validation, and parameter choices, so results should be tested before use in real decisions.