How Many Days Has It Been Since August 29th 2020 Jun 11 2018 nbsp 0183 32 It seems I didn t know it myself before starting to dig for an answer that xgboost uses random generator only for sub sampling see this Laurae s comment on a similar
Jul 23 2025 nbsp 0183 32 Useful if you plan to use a custom evaluation metric random state or seed Ensures reproducibility by setting the random seed for shuffling and sampling It helps in Random state Random number seed early stopping rounds If you have a validation set you can use early stopping to find the optimal number of boosting rounds
How Many Days Has It Been Since August 29th 2020
How Many Days Has It Been Since August 29th 2020
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5 days ago nbsp 0183 32 Explore the fundamentals and advanced features of XGBoost a powerful boosting algorithm Includes practical code tuning strategies and visualizations May 19 2020 nbsp 0183 32 I can t seem to get XGBoost to give me the same results twice in a row In sklearn I seem to be able to use random state but this does not work in XGBoost I ve also tried setting
If isinstance params quot random state quot np random RandomState Other than this they are the same random state is just an alias to make XGBoost more friendly to the existing Python Both the seed and random state parameters in XGBoost control the random number generation ensuring the reproducibility of results The seed parameter is preferred in the native XGBoost
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XGBoost has a scikit learn API which is useful if you want to use different scikit learn classes and methods on an XGBoost model e g predict fit In this section we ll try the API out with May 13 2020 nbsp 0183 32 For reference the issue was not so much with XGBoost but with the data splitting I was splitting the data with train test split without setting the random state which caused
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