# How is actual and typical values computed in machine learning?

**URL:** <https://discuss.elastic.co/t/how-is-actual-and-typical-values-computed-in-machine-learning/241633>\
**Category:** Kibana\
**Tags:** elastic-stack-machine-learning\
**Created:** [July 17, 2020, 11:31am UTC](https://discuss.elastic.co/t/how-is-actual-and-typical-values-computed-in-machine-learning/241633 "2020-07-17T11:31:33Z")\
**Posts on this page:** 1\
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**Author:** ![richcollier](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/richcollier/32/115035_2.png) [@richcollier](https://discuss.elastic.co/u/richcollier)\
**Post date:** [July 17, 2020, 4:38pm UTC](https://discuss.elastic.co/t/how-is-actual-and-typical-values-computed-in-machine-learning/241633/2 "2020-07-17T16:38:43Z")

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The `actual` value is from the raw data itself (the data ML is analyzing). The `typical` value is the highest probable value from the internal statistical model that ML has constructed for that data set.

Perhaps a [basic introductory video](https://www.youtube.com/watch?v=n6xW6YWYgs0) on ML would be helpful.

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