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 install and check XGBoost: # python -c "import xgboost; print(xgboost.__version__)"

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

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