Although we had 413,814 positive instances available in the Enron Threads Corpus, we found that classifier performance was unaffected by the amount of training data, down to very low levels (see Figure 1).
because the standard deviation in the data did not level out until around 1,200 class-balanced training instances 5 , we used this number of positive instances (600) in each of our experiments.