Using SVMtrain for multiple linear regression
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Hi
I have a dataset of the following form:
1) 12.243 15.67 13.879 11.543 13.99 1.3 2) 14.5 11.99 10.98 12.12 17.11 1.5 3)....
In fact I have some hundred rows like that. The first 5 columns are the predictors, the last column is the response.
Now I want to
1) use SVMs for fitting the regression line 2) perform crossvalidation with some additional test set I have
I would appreciate any help/hint. Also I wonder if I should normalize my values to lay in [0,1]?
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