I train a classifier, say SVM, with data standardization & 50 fold cross validation in Classifier App GUI. I get an accuracy of 90%. Now I export the model, and run prediction on the same features that was used to train the model. The result is that I get very low accuracy (~40-50%). Shouldn't I be getting high accuracy since I'm testing my train set? Is it got something to do with standardizing the test data? or does 'm.predictFcn()' take care of standardizing test data?