How do I find or visualise the top features used for SVM classifier?

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Soyoung Choi
Soyoung Choi 2020-7-14
回答： Aditya Patil 2020-8-17
Hi, I am very new to matlab.
I am using 25 predictors to classify 5 different cell morphology types.
I used the Classification Learner app and the linear SVM to successfully classify to a good accuracy.
However, how would i look at the best features used to classify these morphologies? Especially once the trained model has been saved (i'm not sure if this makes a difference but have learned everything can make a difference with these things!)
I have tried looking at ClassificationECOC and can see there is 'learner weights' in the properties. Is there a way of 'opening' or visualising this?
Thank you in advance

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回答（1 个）

Aditya Patil
Aditya Patil 2020-8-17
It's not possible to determine feature importance in SVM model, unless you use linear kernel. You can read more about this in this answer.

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