Batches of 100 are the maximum for M-CT and T-Lex, but we go up to 1000 with A-CT. As expected, the performance of the classifiers trained on individual tweets is poor (see Figure 1).
the models trained on A-CT and M-CT data have very low accuracy on data with 1 bit payload, performing only slightly better than random guessing.