To be more specific, in terms of accuracy, precision, recall, F1 and AUC, the average improvement for the baseline features are 4.33%, 10.30%, 4.32%, 11.01% and 10.40%, respectively.
we observe that the precision of U-GR+AF, although gives the second highest score among all feature combinations, is lower than that of UGR; we leave it for future work.