23 Oct 2018 03:14 PM - last edited on 10 Dec 2021 05:36 AM by MaciejNeumann
I couldn't come across any material in documentation that talks about this. Anyone has any idea?
Best Regards,
Wai Keat
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23 Oct 2018 03:37 PM
This is the explanation from here:
If you need static thresholds rather than the baseline-based alerting approach, change from automated mode to fixed thresholds, as shown below. The sensitivity controls the level of statistical confidence required to raise an event. Low sensitivity means a high confidence is required, and vice versa. For example, to see events immediately, even if only a few data points have breached the threshold, select high sensitivity.
23 Oct 2018 04:46 PM
When we said "Low sensitivity means a high confidence is required, and vice versa"
I am wondering if there is any more elaboration in documentation that explains what it means by confidence?
23 Oct 2018 07:37 PM
It's confidence in the statistical sense, as to what goes into that I do not know and I have not seen it described in detail. I can forward this to some folks to see if they consider it appropriate to expand on it.