I used cross validation operator for data mining, including SVM operator and apply model operator. It always finishes in a couple of minutes. Now I have to separate the modeling part from the prediction one. So I simply use SVM classifier and then write model to a file in one process. While in the other process, I read the model from the output file and then apply the model for the test data. However, the second process runs really slow. Besides, a bunch of warning showed up, like some specific attribute is not contained in the example set.
I really appreciate any of your help.