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. Author manuscript; available in PMC: 2012 Aug 1.
Published in final edited form as: Expert Syst Appl. 2011 Aug 1;38(8):9991–9999. doi: 10.1016/j.eswa.2011.02.009

Figure 1.

Figure 1

We compared the accuracy, sensitivity, and specificity of the selected methods with one, two, and three features; but we executed GP for only a single feature. For each number of features, all methods shared similar accuracy and sensitivity but GE appeared to project a higher selectivity despite no statistically significant difference. On the other hand, GE displayed higher selectivity than sensitivity, whereas the other methods practically demonstrated equal selectivity and sensitivity with a tendency for lower selectivity than sensitivity. We observed these findings regardless of the number of features for each algorithm.