Table 2.

Performance on the 10 most significant radiomic and demographic features alone

Feature	AUC	Accuracy	Sensitivity	Specificity
age	0.49 ± 0.01	0.58 ± 0.01	0.33 ± 0.09	0.67 ± 0.05
wavelet-LLH_firstorder_TotalEnergy	0.64 ± 0.01	0.6 ± 0.05	0.73 ± 0.03	0.55 ± 0.08
wavelet-HHH_firstorder_TotalEnergy	0.65 ± 0.02	0.61 ± 0.03	0.71 ± 0.04	0.57 ± 0.05
wavelet-LHH_firstorder_TotalEnergy	0.63 ± 0.01	0.62 ± 0.01	0.71 ± 0.04	0.59 ± 0.03
wavelet-LLH_firstorder_Energy	0.61 ± 0.01	0.58 ± 0.02	0.56 ± 0.05	0.59 ± 0.05
wavelet-HLH_firstorder_TotalEnergy	0.65 ± 0.01	0.55 ± 0.03	0.76 ± 0.03	0.48 ± 0.05
wavelet-HHH_firstorder_Energy	0.6 ± 0.01	0.59 ± 0.03	0.56 ± 0.1	0.59 ± 0.07
original_firstorder_TotalEnergy	0.59 ± 0.02	0.52 ± 0.02	0.78 ± 0.03	0.42 ± 0.03
wavelet-LHL_firstorder_TotalEnergy	0.6 ± 0.01	0.55 ± 0.01	0.67 ± 0.03	0.51 ± 0.03
wavelet-HLL_firstorder_TotalEnergy	0.57 ± 0.02	0.52 ± 0.02	0.72 ± 0.03	0.45 ± 0.04

*Data is given as mean ± standard deviation