XGBoost

Developer

Tianqi Chen

Repository

github.com/dmlc/xgboost

License

Apache License 2.0

Website

xgboost.ai/

Description of XGBoost

XGBoost is a high-performance gradient boosting library designed for classification, regression, and ranking tasks. It is especially popular in machine learning competitions thanks to its speed and accuracy. XGBoost implements advanced boosting algorithms optimized for memory usage and execution time.

The library is widely used across industries including fintech, healthcare, telecom, and marketing. Its architecture accounts for working with large datasets and includes support for parallel computation, making it an efficient tool in production environments.

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