Fig 5. The average performance of two-sample testing approaches with smaller population.

The dataset size was progressively decreased by a step of 10%. The included subset of each step was selected uniformly at random 12 times and the tests run in every iteration. We observe that ts-AUC and MMD have almost the same performance. Decreasing the population leads to lower chance of distinguishing the two groups. On the other hand, all the two-sample corrections present significantly lower performance.