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IFS curves of two classification algorithms: (A) IFS curve of the random forest; (B) IFS curve of the decision tree. The random forest provides the highest MCC of 0.949 when the top 795 features are used, whereas the decision tree yields the highest MCC of 0.810 when the top 805 features are adopted. The random forest with the top 225 features also produces a high MCC of 0.931.
