In-database XGBoost and other new features in Oracle Database 21c In Oracle Database 21c, OML4SQL includes two new algorithms: XGBoost and MSET-SPRT. The highly popular and powerful extreme gradient boosting trees, or XGBoost, extends the OML classification and regression suite of algorithms, while also introducing ranking. You can use XGBoost as a stand-alone predictor or incorporate it into real-world production pipelines for a wide range of problems such as ad click-through rate prediction, hazard risk prediction, web text classification. Ranking is a machine learning technique to rank items and is useful for many applications in information retrieval such as e-commerce, social networks, and recommendation systems. OML4SQL XGBoost is a scalable gradient tree boosting system that makes available the open source gradient boosting framework. OML4SQL XGBoost is sparse data-aware with automatic handling of missing values and encoding of categorical values.