I am wondering if does it make significant difference in feature selcetion if we are using difference classifiers during feature selection?
For example, I am using the following naive bayes classifier:
fun = @(Xtrain,Ytrain,Xtest,Ytest)...
[inmodel,history] = sequentialfs(fun,myData,classes,'cv',c2,'options',opts,'nfeatures',60);
or if I use fitsvm, instead of fitcnb, will make that much difference on the selceted features?