How can I restrict the number of features for testing set in SVM classification with linear kernel?

Question

Nikita Mirchandani 2021-1-10

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/712963-how-can-i-restrict-the-number-of-features-for-testing-set-in-svm-classification-with-linear-kernel

回答： Aditya Patil 2021-2-17

I have trained a dataset with linear SVM with 300 features. However, I want to restrict the number of features to 150. How can I find which features are most critical to classification?

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

请先登录，再回答此问题。

Answer 1

Aditya Patil 2021-2-17

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/712963-how-can-i-restrict-the-number-of-features-for-testing-set-in-svm-classification-with-linear-kernel#answer_625422

Generally, you can't determine feature importance in SVM, unless a linear kernel is used. Refer following answer for more information. It's recommended to use feature extraction or dimensionality reduction techniques instead of SVM. https://se.mathworks.com/matlabcentral/answers/406577-how-can-i-determine-feature-importance-of-an-svm-classifier