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I'm trialing the azure anomaly detector API (with C#) for alert conditions in my organisation. Data is formatted and ordered correctly, and the API returns a result as expected, using the last data point technique. What I'm struggling to understand is how the following parameters interact with each other:

  • Sensitivity
  • MaxAnomalyRatio
  • Period

Documentation here only really lists types and vague ranges. Are there any specific, detailed examples showing what these parameters are and how they interact?

DMC
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  • Partial Answer: Period has been explained here https://learn.microsoft.com/en-us/azure/cognitive-services/anomaly-detector/concepts/anomaly-detection-best-practices – DMC May 04 '22 at 21:02

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This blog article has details on the max anomaly ratio I found very helpful: https://www.smartercode.io/how-azure-anomaly-detection-api-allows-you-to-find-weirdness-inside-crowd-part-2/

[Optional] Maximum Anomaly Ratio: Advanced model parameter; Between 0 and less than 0.5, it tells the maximum percentage of points that can be determined as anomalies. You can think of it as a mechanism to limit the top anomaly candidates.

Christie
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