# Why Are Typical Values Negative or Missing in high\_sum Anomaly Detection in Elasticsearch?

**URL:** <https://discuss.elastic.co/t/why-are-typical-values-negative-or-missing-in-high-sum-anomaly-detection-in-elasticsearch/378196>\
**Category:** Kibana\
**Tags:** elastic-stack-machine-learning\
**Created:** [May 15, 2025, 6:30pm UTC](https://discuss.elastic.co/t/why-are-typical-values-negative-or-missing-in-high-sum-anomaly-detection-in-elasticsearch/378196 "2025-05-15T18:30:09Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Jordan\_Queiroz](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/jordan_queiroz/32/143140_2.png) [@Jordan\_Queiroz](https://discuss.elastic.co/u/Jordan_Queiroz)\
**Post date:** [May 15, 2025, 6:30pm UTC](https://discuss.elastic.co/t/why-are-typical-values-negative-or-missing-in-high-sum-anomaly-detection-in-elasticsearch/378196/1 "2025-05-15T18:30:09Z")

</div>

Hello, everyone.

I have a machine learning job that analyzes a numeric field where values are always greater than or equal to 0. The analysis function I'm using is high\_sum, and the field type is float.

The machine learning job also does population analysis and more than 50% of values are 0.

When an anomaly is detected in Kibana, the typical values for some anomalies are shown as "-" or even with values below 0.

Why does this happen?

Thank you in advance.