Feature Training Set Training Set Training Set Training Set Validation Set Validation Set Validation Set Validation Set
AUC (95%CI) p value Sensitivity Specificity AUC (95%CI) p value Sensitivity Specificity
CMP wavelet-HHL_Energy 0.628 (0.475, 0.781) 0.092 26.1% 100.0% 0.500 (0.183, 0.817) 1.000 50.0% 72.7%
wavelet-HHL_Total Energy 0.628 (0.475, 0.781) 0.092 26.1% 100.0% 0.500 (0.183, 0.817) 1.000 50.0% 72.7%
wavelet-LLL_90Percentile 0.676 (0.537, 0.815) 0.021 78.3% 62.5% 0.455 (0.136, 0.773) 0.763 50.0% 63.6%
wavelet-LLL_Range 0.646 (0.502, 0.789) 0.056 65.2% 65.0% 0.515 (0.179, 0.851) 0.920 50.0% 81.8%
gradient_Energy 0.605 (0.452, 0.758) 0.166 60.9% 65.0% 0.621 (0.300, 0.942) 0.421 66.7% 81.8%
gradient_Total Energy 0.605 (0.452, 0.758) 0.166 60.9% 65.0% 0.621 (0.300, 0.942) 0.421 66.7% 81.8%
NP exponential_Skewness 0.707 (0.573, 0.840) 0.007 78.3% 65.0% 0.818 (0.608, 1.000) 0.035 66.7% 90.9%
squareroot_Skewness 0.705 (0.572, 0.839) 0.007 82.6% 55.0% 0.803 (0.585, 1.000) 0.044 66.7% 90.9%
wavelet-HHL_Energy 0.577 (0.418, 0.736) 0.311 30.4% 97.5% 0.667 (0.379, 0.954) 0.269 83.3% 63.6%
wavelet-HHL_Total Energy 0.577 (0.418, 0.736) 0.311 30.4% 97.5% 0.667 (0.379, 0.954) 0.269 83.3% 63.6%
gradient_Energy 0.605 (0.452, 0.759) 0.166 30.4% 100.0% 0.712 (0.461, 0.963) 0.159 83.3% 63.6%
CMP+NP NP_exponential_Skewness 0.707 (0.573, 0.840) 0.007 78.3% 65.0% 0.818 (0.608, 1.000) 0.035 66.7% 90.9%
NP_squareroot_Skewness 0.705 (0.572, 0.839) 0.007 82.6% 55.0% 0.803 (0.585, 1.000) 0.044 66.7% 90.9%
NP_wavelet-HHL_Energy 0.577 (0.418, 0.736) 0.311 30.4% 97.5% 0.667 (0.379, 0.954) 0.269 83.3% 63.6%
NP_wavelet-HHL_Total Energy 0.577 (0.418, 0.736) 0.311 30.4% 97.5% 0.667 (0.379, 0.954) 0.269 83.3% 63.6%
NP_gradient_Energy 0.605 (0.452, 0.759) 0.166 30.4% 100.0% 0.712 (0.461, 0.963) 0.159 83.3% 63.6%
NP_gradient_Total Energy 0.605 (0.452, 0.759) 0.166 30.4% 100.0% 0.712 (0.461, 0.963) 0.159 83.3% 63.6%