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

10 ビュー (過去 30 日間)
Sahil Bajaj 2021 年 10 月 2 日
コメント済み: Sahil Bajaj 2021 年 10 月 18 日
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

サインインしてコメントする。

### 回答 (1 件)

Kshitij Chhabra 2021 年 10 月 13 日
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 +∞.
Hope this helps!
##### 1 件のコメント表示 なし非表示 なし
Sahil Bajaj 2021 年 10 月 18 日
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

サインインしてコメントする。

### カテゴリ

Find more on Statistics and Machine Learning Toolbox in Help Center and File Exchange

R2021a

### Community Treasure Hunt

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

Start Hunting!

Translated by