Figure 1.

Accuracy and standard deviation estimates as a function of the number of cross-validation runs (shown, as an example, for the Fisher method with 15 peaks). Significant variability can be observed at the beginning, which motivates the need for a large number of runs in order to arrive at reasonable estimates.