When testing my classifiers with new data, should I
- remove stopwords from this data and/or
- remove low information features from this data?
or just use the data the way it is?
In other words: Is removing stopwords and low information features only relevant for the data that I use to train and test the classifier or also for the data that the classifier will then classify?