XGBOOST

XGBoost on SUSE Linux 15 is an open-source, high-performance machine learning library based on gradient boosting. It helps developers and data scientists build accurate and scalable predictive models for regression, classification, and ranking tasks.

Features of XGBoost:

• Provides efficient implementation of gradient boosting algorithms.
• Supports regression, classification, and ranking problems.
• Handles missing values and categorical features effectively.
• Optimized for performance with parallel and distributed computing.
• Runs on SUSE Linux 15 using Python virtual environments or pipx for isolation.

To check the version of XGBoost: #python -c "import xgboost as xgb; print(xgb.__version__)"

Disclaimer: XGBoost is an independent open-source project and is not affiliated with, endorsed by, or sponsored by SUSE Linux.