Experimental results with a 10D synthetic data set.

The effect size is calculated by (Measurement|t = 0 − Measurement|t = 200)/std(⋅). The measurements are the three metrics presented in Section Evaluating the Effect of Iterated Algorithmic Bias on Learning Algorithms 1. We report the paired t-test results. For filter bias mode (FB), the results are identical to those of the 2D synthetic data across all three research questions. Active learning bias (AL) generates the same result as for the 2D synthetic data. Random selection (RM) has no obvious effect, similarly to the 2D synthetic data experiments.