[rrd-users] False positives with aberrant behavior detection
tobi at oetiker.ch
Tue Aug 17 08:23:44 CEST 2010
Yesterday Mike Schilli wrote:
> On Mon, 16 Aug 2010, Tobias Oetiker wrote:
> > you may find some inspiration here
> Hmm ... actually, I still have a two questions:
> * My graphs are jagged, due to the sensor's discrete values, delivered in
> steps of .5. Is there a way to 'smooth' the graph, so that I get
> something like splines as input for ABD?
> * Is there a way to change the confidence band from what your document
> calls "think something like standard deviation" to something twice this
> size? I've tried many settings of alpha, beta, and gamma, but it seems
> to be impossible to get rid of the false positives. If I could double
> the width of the confidence band, however, I'd get exactly what I need,
> I think.
the confidence band initelf is dynamic and derives its 'width' from
experiance of previous prediction accuracy ...
the best course of action in my experiance is to prepare about 5
cycles worth of hires data and use a little script to visualize hw
behaviour with differenc values ... as I did in my sample ...
> -- Mike
> Mike Schilli
> m at perlmeister.com
Tobi Oetiker, OETIKER+PARTNER AG, Aarweg 15 CH-4600 Olten, Switzerland
http://it.oetiker.ch tobi at oetiker.ch ++41 62 775 9902 / sb: -9900
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