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XGBoost vs CatBoost

XGBoost and CatBoost are both powerful gradient boosting algorithms that have seen widespread adoption in the data science community.

While they share many similarities, they also have some important differences that can impact when and how you might choose to use one over the other.

This example will compare XGBoost and CatBoost across several key dimensions and explore their common use cases.

Key Differences

Strengths of CatBoost

Strengths of XGBoost

Common Use Cases

Key Takeaways

See Also