Does the training set and testing set have to be different from the predicting set?
问题 I know the general rule that we should test a trained classifier only on the testing set. But now comes the question: When I have an already trained and tested classifier ready, can I apply it to the same dataset that was the base of the training and testing set? Or do I have to apply it to a new predicting set that is different from the training+testing set? And what if I predict a label column of a time series (edited later: I do not mean to create a classical time series analysis here, but