# Group results from different data-split seeds

**URL:** <https://discuss.ray.io/t/group-results-from-different-data-split-seeds/1174>\
**Category:** Ray Tune\
**Created:** [March 9, 2021, 1:00am UTC](https://discuss.ray.io/t/group-results-from-different-data-split-seeds/1174 "2021-03-09T01:00:28Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![mistycheney](https://sea2.discourse-cdn.com/flex020/user_avatar/discuss.ray.io/mistycheney/32/590_2.png) [@mistycheney](https://discuss.ray.io/u/mistycheney)\
**Post date:** [March 9, 2021, 1:00am UTC](https://discuss.ray.io/t/group-results-from-different-data-split-seeds/1174/1 "2021-03-09T01:00:28Z")

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Hi, as a newbie to Ray Tune, I am wondering if I can run each hyper-parameter configuration multiple times with different data-split seeds, and choose the configuration with the best average performance over seeds? It seems I can naively achieve this by analyzing the result dataframe myself, but I’m wondering if there is a built-in mechanism for automatically grouping results based on seeds?

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**Author:** ![rliaw](https://sea2.discourse-cdn.com/flex020/user_avatar/discuss.ray.io/rliaw/32/24_2.png) [@rliaw](https://discuss.ray.io/u/rliaw)\
**Post date:** [March 9, 2021, 4:24am UTC](https://discuss.ray.io/t/group-results-from-different-data-split-seeds/1174/2 "2021-03-09T04:24:20Z")

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You should be able to use something like the Repeater tool. [Search Algorithms (tune.suggest) — Ray v2.0.0.dev0](https://docs.ray.io/en/master/tune/api_docs/suggestion.html?highlight=repeater#repeated-evaluations-tune-suggest-repeater)