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

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Nikita Mirchandani 2021 年 1 月 10 日

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

回答済み: Aditya Patil 2021 年 2 月 17 日

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?

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Answer 1

Aditya Patil 2021 年 2 月 17 日

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https://jp.mathworks.com/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