"Lower accuracy of libsvm in rapidminer vs weka with same parameters"
I am really getting confused. I used a same data set with same parameters in weka and rapidminer for classification with libsvm. the strange result was that weka accuracy for prediction was 15 percent higher than rapidminer???(I used same C and same kernel and same gamma for rbf kernal).I think there is something wrong with weka. it's accuracy on training set for testing phase is 100%.
Can any body explain it?
Thanks a lot.