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.
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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.
创建时间:
2020-08-13



