FIGURE 6.

(A) Generalized illustration of ensemble methods. In ensemble methods, the outputs of several feature selection methods are aggregated to obtain the final selected features. FS = feature selection. (B) Generalized illustration of majority voting system where the different generated feature subsets are used to train and test a specific classifier. The final output is the class predicted by the majority of the classifiers.