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.