Xgboost

Extreme Gradient Boosting (Xgboost) is a scalable and efficient implementation of gradient boosting machines. It is known for its high performance and speed, supporting parallel processing and including features like L1 and L2 regularization to prevent overfitting. Xgboost is widely used by data scientists and machine learning practitioners for its ability to handle various types of data and its built-in cross-validation capabilities.

Xgboost was discovered on December 9th 2019 and it currently has a search volume of 90.5K with a growth of +150%.