# HTM anomaly raw score threshold on multi features problems

**URL:** <https://discourse.numenta.org/t/htm-anomaly-raw-score-threshold-on-multi-features-problems/5636>\
**Category:** NuPIC\
**Created:** [March 18, 2019, 4:19pm UTC](https://discourse.numenta.org/t/htm-anomaly-raw-score-threshold-on-multi-features-problems/5636 "2019-03-18T16:19:52Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![MAK](https://avatars.discourse-cdn.com/v4/letter/m/dc4da7/32.png) [@MAK](https://discourse.numenta.org/u/MAK)\
**Post date:** [March 18, 2019, 4:19pm UTC](https://discourse.numenta.org/t/htm-anomaly-raw-score-threshold-on-multi-features-problems/5636/1 "2019-03-18T16:19:52Z")

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Hii,  
I create HTM model with multi features input for anomaly detection problem.  
In HTM framework we can’t predict multi features output, only calculate the raw score.  
May someone have a suggestion how to calculate the score threshold?  
MAK

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**Author:** ![rhyolight](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.numenta.org/rhyolight/32/3922_2.png) [@rhyolight](https://discourse.numenta.org/u/rhyolight)\
**Post date:** [March 18, 2019, 4:25pm UTC](https://discourse.numenta.org/t/htm-anomaly-raw-score-threshold-on-multi-features-problems/5636/2 "2019-03-18T16:25:42Z")

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> [@MAK](#):
>
> May someone have a suggestion how to calculate the score threshold?

You want to run an [`AnomalyLikelihood`](http://nupic.docs.numenta.org/stable/api/algorithms/anomaly-detection.html#module-nupic.algorithms.anomaly_likelihood) calculation, then apply a very high threshold like `0.9999`. Watch this: [Live Q/A session on Anomaly Detection](https://discourse.numenta.org/t/live-q-a-session-on-anomaly-detection/2674).