Cross validation and set epoches in svm

How to set epoches and get maximum test and train accuracies in svm ?

I have trained features usind fitsvm().

Answer 1

[Omega]

Hi Sarath,

You can use the in-built MATLAB function 'crossval' for cross-validation to assess how well a model will generalize to unseen data. It helps to mitigate issues like overfitting, where a model performs well on the training data but poorly on new, unseen data. To set the number of epochs, batch size and many other parameters, you can use the 'trainingOptions' function in MATLAB.

To know more about the functions and their detailed use please refer to the following documentations:

• For 'crossval': https://www.mathworks.com/help/stats/classificationsvm.crossval.html
• For 'trainingOptions': https://www.mathworks.com/help/deeplearning/ref/trainingoptions.html

Hope this helps!