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Table 6 Results obtained with the entire set of features, the FS ensemble and the individual FS algorithms for time-windows of a) 2-years, b) 3-years and c) 4-years, using ADNI data. Results are averaged over the 10 × 5 stratified cross validation with subset size defined by the optimized RPT threshold (β = 10)

From: Neuropsychological predictors of conversion from mild cognitive impairment to Alzheimer’s disease: a feature selection ensemble combining stability and predictability

  

Ensemble

ReliefF

MIM

CMIM

MRMR

Chi-Squared

LL21

All features

2-years windows

AUC

0.882 ± 0.01

0.861 ± 0.01

0.865 ± 0.01

0.882 ± 0.01

0.859 ± 0.01

0.864 ± 0.0

0.851 ± 0.01

0.860 ± 0.01

Sensitivity

0.727 ± 0.02

0.758 ± 0.02

0.754 ± 0.03

0.736 ± 0.03

0.749 ± 0.02

0.771 ± 0.01

0.752 ± 0.01

0.594 ± 0.02

Specificity

0.848 ± 0.01

0.826 ± 0.01

0.833 ± 0.02

0.847 ± 0.01

0.803 ± 0.00

0.815 ± 0.01

0.821 ± 0.01

0.903 ± 0.01

Stability

0.913 ± 0.02

0.888 ± 0.02

0.907 ± 0.02

0.892 ± 0.02

1.0 ± 0.0

1.0 ± 0.0

0.837 ± 0.02

# Features

32

8

25

32

7

4

11

79

3-years windows

AUC

0.872 ± 0.004

0.857 ± 0.00

0.871 ± 0.00

0.872 ± 0.00

0.863 ± 0.00

0.859 ± 0.01

0.868 ± 0.00

0.835 ± 0.01

Sensitivity

0.775 ± 0.018

0.784 ± 0.01

0.778 ± 0.01

0.782 ± 0.02

0.728 ± 0.01

0.776 ± 0.02

0.793 ± 0.02

0.714 ± 0.02

Specificity

0.829 ± 0.011

0.817 ± 0.01

0.831 ± 0.01

0.827 ± 0.00

0.805 ± 0.01

0.841 ± 0.01

0.804 ± 0.01

0.782 ± 0.01

Stability

0.889 ± 0.013

0.892 ± 0.02

0.913 ± 0.02

0.941 ± 0.01

0.789 ± 0.02

0.986 ± 0.02

0.944 ± 0.03

# Features

30

15

23

29

70

10

45

79

4-years windows

AUC

0.886 ± 0.003

0.876 ± 0.00

0.881 ± 0.00

0.883 ± 0.01

0.867 ± 0.01

0.870 ± 0.01

0.872 ± 0.01

0.853 ± 0.006

Sensitivity

0.789 ± 0.007

0.788 ± 0.01

0.799 ± 0.01

0.798 ± 0.01

0.732 ± 0.01

0.761 ± 0.01

0.792 ± 0.02

0.705 ± 0.009

Specificity

0.819 ± 0.013

0.817 ± 0.02

0.818 ± 0.01

0.831 ± 0.01

0.815 ± 0.01

0.837 ± 0.01

0.819 ± 0.01

0.831 ± 0.017

Stability

0.895 ± 0.023

0.839 ± 0.02

0.881 ± 0.02

0.899 ± 0.02

0.906 ± 0.05

0.93 ± 0.02

0.923 ± 0.03

# Features

32

22

23

33

75

23

50

79