CatBoost is a machine learning method based on gradient boosting over decision trees.
Main advantages of CatBoost:
- Superior quality when compared with other libraries.
- Support for both numerical and categorical features.
- Data visualization tools included.
The following implementations are available:
- Tutorials are avaliable here.
- For reporting bugs please use the catboost/bugreport page.
- Ask your question about CatBoost on Stack Overflow
© YANDEX LLC, 2017. Licensed under the Apache License, Version 2.0. See LICENSE file for more details.