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

7 次查看（过去 30 天）
Sahil Bajaj
Sahil Bajaj 2021-10-2
评论： Sahil Bajaj 2021-10-18
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

请先登录，再回答此问题。

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

请先登录，再进行评论。

类别

在 Help Center 和 File Exchange 中查找有关 Classification Trees 的更多信息

标签

产品


版本

R2021a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by