Table 2. The coefficients of the features in the LR algorithm.

Features	Estimate	Std. Error	z value	Pr(>|z|)
(Intercept)	0.509848505	0.151270552	3.370441223	0.000750479
wavelet_HL_glcm_ClusterShade	−0.827517113	0.209353981	−3.952717343	7.73E−05
wavelet_HH_firstorder_Skewness	0.28227864	0.191334092	1.475318053	0.140127055
wavelet_LL_firstorder_Median	0.669757441	0.172515604	3.882300642	0.000103473
wavelet_LH_glcm_MCC	0.480485434	0.161624622	2.972847999	0.002950505

LR, logistic regression; Std. Error, standard error; Pr(>|z|), P values of the z-test were applied to the regression coefficients; glcm, gray-level co-occurrence matrix; MCC, maximal correlation coefficient.