Figure 5.

Classification accuracy measured by the SVM with Gaussian kernel, evaluating features selected many times vs. features selected in single runs by the GA. For feature set size s, the classification accuracy of the features selected by the GA in single runs is averaged over all the final feature sets of size s. The features selected many times are the s features most often selected by the GA (classification accuracy is averaged over the three folds).