Fig 16. The box-plots showing the distribution of the Gini coefficient of the prediction in the first and last iterations of the iterated learning for three iterated algorithmic biases on the MovieLens data set.

Filter bias significantly increases the in equality of prediction. On the other hand, random selection and Active learning lead to a significantly decrease in the inequality of prediction.