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