XG
XGBoost
Scalable gradient boosting library. Fast, accurate, and battle-tested for tabular data.
About XGBoost
XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible, and portable. It implements machine learning algorithms under the Gradient Boosting framework.
Key Features
✓ Gradient boosted trees
✓ Distributed & GPU training
✓ Built-in cross-validation
✓ Feature importance analysis
✓ Handles missing values
✓ Sklearn-compatible API
Why choose XGBoost?
XGBoost is an open source alternative to LightGBM, CatBoost. Licensed under Apache-2.0, it gives you full access to the source code and the freedom to modify, self-host, and contribute. It is available as a desktop or web application.