Table 3.

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

Feature combinations	Training AUC (95% CI)	Testing AUC (95% CI)
Mean	0.77 (0.767-0.777)	0.80 (0.793-0.807)
Std	0.79 (0.788-0.793)	0.76 (0.746-0.770)
Skewness	0.71 (0.708-0.719)	0.82 (0.815-0.825)
Kurtosis	0.73 (0.724-0.734)	0.82 (0.817-0.827)
Energy	0.72 (0.712-0.727)	0.74 (0.724-0.758)
Mean, Kurtosis	0.74 (0.732-0.743)	0.82 (0.808-0.820)
Std, Energy	0.80 (0.799-0.807)	0.76 (0.750-0.773)
Kurtosis, Energy	0.75 (0.744-0.750)	0.81 (0.805-0.817)

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