https://bugs.kde.org/show_bug.cgi?id=504185

--- Comment #4 from Michael Miller <michael_mil...@msn.com> ---
(In reply to caulier.gilles from comment #3)
> The SVN CalcError is just informative about the computation results, it's
> not a processing error. Code relevant is here :
> 
> https://invent.kde.org/graphics/digikam/-/blob/master/core/libs/facesengine/
> recognition/faceclassifier.cpp?ref_type=heads#L378
> 
> Gilles Caulier

Hi all,
Gilles, you are correct. The SVM calcError is shown for debugging purposes. 
The value reflects the percentage of labels that lie beyond the hyperplane
boundry generated by the kernel function for a given label cluster (class)
during training.  In other words, it's the estimated margin of error for the
SVM classifier.  This value should always be less than 5.0 (5%). Lower values
are better.

Cheers,
Mike

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