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

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Nikita Mirchandani
Nikita Mirchandani 2021-1-10
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?

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回答（1 个）

Aditya Patil
Aditya Patil 2021-2-17
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

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