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You don't need to first use train. TrainAuto searches the SVM parameter space using cross validation. It doesn't search the parameter space (if you have any) of your features. Try stepping into trainAuto with a debugger to see what it gets you. I think the main problem is that trainAuto can still give you a local optimum. See the libsvm website for advice on a good approach.