Results of the Mann-Whitney U test and the t-test comparing the boundary shift for the three forms of iterated algorithmic bias with the Movielens data set.

The positive effect size indicates that filter bias leads to fewer points predicted to be in class y = 1. Random selection and active learning do not have a significant impact.