How to adapt the matlab code which is produced by classification learner?

I have EEG dataset which is content 109 subjects and the EEG signals recorded from 64 electrodes. While the AR coefficients extracted as features. Then I tested these features using classification learner App . I found the best results obtain with Cubic SVM classifier. So my question how can I used the Cubic

SVM as a function for further experiments.

[Helin]

Hello, what is the code in this tytle??

Answer 1

[Stephan]

Hi,

You can export the model in 3 ways. Usually the best way is to export matlab code to perform further calculations and change it the way you need for your purpose.

To do this choose the little arrow on the export button and choose the option you need. After this you have a script or a struct in workspace (depending on the option you choosed). The script contains a good commented description how to perform new predictions / classifications.

If you export the model you find an example how to make predictions with new data in the command window. If you follow these instructions it is pretty easy to use it. Just save as a .mat file for future and use it.

See an example for using classification model here:

https://de.mathworks.com/help/stats/compactclassificationsvm.predict.html?s_tid=srchtitle

or for multiclass models:

https://de.mathworks.com/help/stats/compactclassificationecoc.predict.html

Best regards

Stephan

Answer 2

[Zaid Alyasseri]

Thanks a lot Stephan