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Which output represent distance from hyperplane in fitcsvm while training data?

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Nainsi Gupta
Nainsi Gupta 2024-2-20
回答： Ayush Modi 2024-2-20
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
Ayush Modi 2024-2-20
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:
https://www.mathworks.com/help/stats/classreg.learning.classif.compactclassificationsvm.predict.html#bt74ekh:~:text=%E2%80%94%20Predicted%20class-,scores%20or%20posterior,-probabilities%0Anumeric%20column

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