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articles/cognitive-services/Anomaly-Detector/How-to/streaming-inference.md

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@@ -182,7 +182,7 @@ The response contains the result status, variable information, inference paramet
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> [!NOTE]
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> A common pitfall is taking all data points with `isAnomaly`=`true` as anomalies. That may end up with too many false positives.
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> You should use both `isAnomaly` and `severity` (or `score`) to sift out anomalies that are not severe and (optionally) use grouping to check the duration of the anomalies to suppress random noise.
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> Please refer to the [FAQ](../../concepts/best-practices-multivariate.md#faq) in the best practices document for the difference between `severity` and `score`.
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> Please refer to the [FAQ](../concepts/best-practices-multivariate.md#faq) in the best practices document for the difference between `severity` and `score`.
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## Next steps
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