R help - Jun 2015 - Problem in ksvm prediction

Dear all,

I am using ksvm in R for SVM classification. I trained the SVM classifier
with prob.model=TRUE. I have the two following outputs when I predicted.

1) label<-predict(model, TestData)
         I have classification accuracy about 93%, where as in another mode

2) Probvalues<-predict(model, TestData, type="probabilities")
    label<-max.col(Probvalues)

      I have the classification accuracy of 74%.

 I don't why there is a difference in two modes. It will be better if have
predict probability scores also for me.

Please let me know how to rectify the error or what could be the reason for
this difference?

Thanks in Advance

With Regards

Bharath Bhushan D



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