# xgboost regression hyperparameter optimization

**URL:** <https://forum.knime.com/t/xgboost-regression-hyperparameter-optimization/32823>\
**Category:** KNIME Analytics Platform\
**Created:** [May 9, 2021, 8:47am UTC](https://forum.knime.com/t/xgboost-regression-hyperparameter-optimization/32823 "2021-05-09T08:47:32Z")\
**Posts on this page:** 2\
**Page:** 2

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**Author:** ![BerkayAkar](https://forum-cdn.knime.com/letter_avatar_proxy/v4/letter/b/ed655f/32.png) [@BerkayAkar](https://forum.knime.com/u/BerkayAkar)\
**Post date:** [May 13, 2021, 1:35pm UTC](https://forum.knime.com/t/xgboost-regression-hyperparameter-optimization/32823/22 "2021-05-13T13:35:19Z")

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thanks for givin advice ı m trying it and how can ı change n-estiminator in XGBoost Tree Ensemle Learner (regression) ?

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**Author:** ![BerkayAkar](https://forum-cdn.knime.com/letter_avatar_proxy/v4/letter/b/ed655f/32.png) [@BerkayAkar](https://forum.knime.com/u/BerkayAkar)\
**Post date:** [May 13, 2021, 2:06pm UTC](https://forum.knime.com/t/xgboost-regression-hyperparameter-optimization/32823/23 "2021-05-13T14:06:53Z")

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hi ı have a questions

ı want to chance learning rate and ı want to calcuate only 0.1, 0.5, 0.01, 0.05 and 1 for eta parameter, so what should ı do

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