The precision P, recall R and F-measure F of identifying the high perceptibility users in the framework with different machine learning methods (GBM and SVM) and different parameter q for (a-b) MovieLens and (c-d) Netflix data sets, respectively.

One can find that the recall R of high perceptibility user identification using GBM and SVM have little difference with the results using random forests. The precision P is better using GBM and SVM than using random forests.