How to count up an error in svm
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Hello, I'm using 'svmtrain' in MATLAB R2013a and I'm looking for function counting a training error.
I drew a picture where data are separated by the classifier, but there is one red dot in wrong side and that's the error I mean...
So how can i count it up??
Thanks
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/151073/image.png)
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Ilya
il 24 Ott 2013
Classification error by definition is the fraction of misclassified observations. So if you have one misclassified point, divide 1 by the number of observations in your data.
Take a look at 'help confusionmat' or 'doc confusionmat'.
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Ilya
il 28 Ott 2013
I have never seen anyone trying to estimate the geometric margin for non-linear SVM. The geometric margin is only used in textbooks for pedagogical reasons, using the picture just like the one you've attached.
The margin defined as y*f for class label y in set {-1,+1} and soft score f is a useful concept in the learning theory. But that's not what you want.
I suspect you are somewhat confused about what you really want to compute. Either that or I have no idea what you are doing.
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