I am using the Weka workbench to train a protein fold classifier. I imported my training data into Weka and performed PCA-based feature selection. This seems to have worked fine, but now I cannot evaluate my trained classifier on the test data because the test data contains all the original attributes. Of course, if I try to run the feature selection on the test data, I will come up with a different set of features.
In Weka, after you have applied feature selection to a training set, how do you pull those same features out of a test set?