The combination of these competing variabilities makes up the total internal variance which, as confirmed by Figure 1, is nevertheless smaller than with single train-test splits.
if we have enough data that using 1/K th of the data still provides stable evaluations then we can see a reduction in internal variability as we increase K. this is not a general statement (Bengio and Grandvalet, 2004), as we will demonstrate in Section 4.