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[DOCS] Resizes anomaly detection screenshot properly. (#89544) (#89549)
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docs/reference/ml/anomaly-detection/ml-configuring-alerts.asciidoc

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@@ -62,7 +62,7 @@ You must select a type of {ml} result. In particular, you can create rules based
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on bucket, record, or influencer results.
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[role="screenshot"]
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image::images/ml-anomaly-alert-severity.jpg["Selecting result type, severity, and test interval"]
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image::images/ml-anomaly-alert-severity.jpg["Selecting result type, severity, and test interval", 500]
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For each rule, you can configure the `anomaly_score` that triggers the action.
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The `anomaly_score` indicates the significance of a given anomaly compared to

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