MCI converter/non-converter classification performance.

MCI converter/non-converter classification comparison of different combinations of feature selection methods and classification methods in terms of accuracy, specificity and sensitivity. “—” in the “FS-method” column means no feature selection method is used. “—” in the “Classify” column means the final model from the corresponding feature selection methods is directly used for classification. For this experiment, we used all the META and MRI features. The bolded and underlined entry denotes the best performance for that particular setting. The standard deviations are shown in the parentheses.