CatBoost_ Learning records


reference resources:

​​​​​​CatBoost – open-source gradient boosting library

The most detailed catboost parameter explanation and example application_ The same name of the whole network: Xiaobai’s blog in the code world – blog_ Catboost parameter


Routines for classification problems:

catboost/classification_tutorial.ipynb at master · catboost/catboost (


Pool is a form used to organize data in catboost. It can also use numpy array and dataframe. But pool is more recommended. It has better memory and speed


General parameters

Common parameters – Training parameters | CatBoost

Adjusting parameters

Parameter tuning | CatBoost​​​​​​​​​​​​​​