How do I get the distance between the point and the hyperplane in MATLAB 2021a fitcsvm?

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Hi all,
Nested cross-validation method gives me the best model 1x1 ClassificationSVM, please see attached. This models gives an accuracy of 94.53% (using crossval).
I was wondering if there is an easy way to calculate the distance between the point and the hyperplane from this output?
Thanks,
Sahil

回答(1 个)

Kshitij Chhabra
Kshitij Chhabra 2021-10-13
Hi Sahil,
From my understanding you are trying to find the distance of a particular data point from the hyperplane. I can recommmend you using the the "predict" function to get the Classification Score which is the signed distance of a point x form the decision boundary and ranges from -∞ to +∞.
You can learn more about the use of "predict" function here.
Hope this helps!
  1 个评论
Sahil Bajaj
Sahil Bajaj 2021-10-18
Hi Kshitij, thanks for your response.
Yes, I used "predict" function to get the classification score. But somehow this classification scores (which represents the signed distance of a point x from the decision boundary) is different from the distance parameter I get using libsvm (as explained here: https://www.mathworks.com/matlabcentral/answers/410858-how-do-i-get-the-distance-between-the-point-and-the-hyperplane-using-libsvm). I am not sure why both "classification score from predict" and "distance" calculation using libsvm as explained in this article are not identical - and if both of these represent different things then which one should I use to get the distance of all data points from the hyperplane?
I would really appreciate any help.
Thanks,
Sahil

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