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

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

Answer 1

[Aditya Patil]

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.