Table 4.

Training and testing AUC values for US-GLM classifiers developed using different combinations of weakly correlated features.

Feature combinations	Training AUC (95% CI)	Testing AUC (95% CI)
Mean	0.82 (0.818-0.820)	0.64 (0.629-0.657)
std	0.86 (0.860-0.862)	0.66 (0.650-0.674)
skewness	0.59 (0.587-0.591)	0.42 (0.405-0.443)
Kurtosis	0.64 (0.635-0.639)	0.34 (0.326-0.344)
energy	0.85 (0.851-0.854)	0.61 (0.600-0.621)
Mean, kurtosis	0.82 (0.819-0.822)	0.60 (0.581-0.618)
Std, skew	0.86 (0.860-0.862)	0.65 (0.643-0.664)
Std, kurtosis	0.86 (0.858-0.860)	0.65 (0.642-0.666)
Kurtosis, energy	0.86 (0.856-0.858)	0.63 (0.617-0.638)

The 95% confidence of interval values are also shown in front of each mean AUC value.