What should I do if I need to train svm() with data having same value across
all rows in some columns. These must be the important features of the class and
we cant exclude these columns to build up models.
The error I am getting is:
Error in predict.svm(ret, xhold) : Model is empty!
In addition: Warning message:
In svm.default(datatrain, classtrain) :
Variable(s) 'F112' and 'F113'.... [... truncated]
Is there any way to overcome this problem? Any suggestions would be highly
helpful.
Regards
Soumyadeep
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