Which output represent distance from hyperplane in fitcsvm while training data?
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While training data on fitcsvm, which output represent distance from the hyoerplane. Please explain.
x= rand([100,2])
y= ones(100,1)
mdl= fitcsvm(x,y)
mdl.BoxConstraints
[~,score]= predict(mdl,x)
Is it correct? Does score term represent the distance of training data from the hyperplane?
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Ayush Modi
2024 年 2 月 20 日
Hi Nainsi,
The score output from "predict" function is the signed distance to the decision boundary. I am assuming by hyperplane, you mean decision boundary, so the answer would be yes.
Please refer to the following MathWorks documentation for more information on the score output of “predict” function:
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