# Leaderboard score precision

**URL:** <https://community.drivendata.org/t/leaderboard-score-precision/90>\
**Category:** Countable Care\
**Created:** [March 17, 2015, 5:48pm UTC](https://community.drivendata.org/t/leaderboard-score-precision/90 "2015-03-17T17:48:12Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![isms](https://yyz2.discourse-cdn.com/flex028/user_avatar/community.drivendata.org/isms/32/9_2.png) [@isms](https://community.drivendata.org/u/isms)\
**Post date:** [March 17, 2015, 7:00pm UTC](https://community.drivendata.org/t/leaderboard-score-precision/90/2 "2015-03-17T19:00:11Z")

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Hey @binga,

In line with @bull’s response to a recent [question about the leaderboard](https://community.drivendata.org/t/is-the-leaderboard-test-set-the-final-test-set/88), it’s probably best not to put so much emphasis on your public leaderboard score (i.e. down to the \< 0.0001 level).

Behind the scenes we keep plenty of precision in case of close calls. But broadly speaking, the best models will generalize to similarly generated data – so your best bet is probably skeptical modeling, cross validation, and all that good stuff rather than trying to ace the public leaderboard. Does that make sense?

Thanks for your interest and for the question.

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