Overview of CatBoost
CatBoost is a machine learning algorithm that uses gradient boosting on decision trees. It is available as an open source library.
Key features:
![]() | Training | ![]() | Applying models |
![]() | Model analysis | ![]() | Metrics |
![]() | Recovery | ![]() | Visualization tools |
![]() | Exporting models | ![]() | Educational materials |
![]() | Training | ![]() | Applying models |
![]() | Model analysis | ![]() | Metrics |
![]() | Recovery | ![]() | Visualization tools |
![]() | Exporting models | ![]() | Educational materials |