Table 5.

Linear regression model coefficients.

Features	Coefficients	p-Value
Intercept	−10.99	0.01
original_shape_SurfaceVolumeRatio	−1.13	0.24
wavelet_HLL_glcm_InverseVariance	13.96	0.01
wavelet_HLL_firstorder_Median	0.14	0.06
wavelet_HLL_glrlm_ShortRunEmphasis	38.72	0.00
wavelet_HLL_glrlm_RunPercentage	−38.39	0.00
wavelet_LHL_gldm_DependenceNonUniformityNormalized	−7.33	0.61
wavelet_LHL_glcm_InverseVariance	−3.19	0.51
wavelet_LHL_firstorder_Kurtosis	0.01	0.04
wavelet_LHL_glrlm_ShortRunEmphasis	−24.29	0.21
wavelet_LHL_glrlm_RunPercentage	46.40	0.00
wavelet_LHL_glrlm_RunLengthNonUniformityNormalized	−14.58	0.15
wavelet_LLH_glcm_Imc1	−0.31	0.87
wavelet_LLL_firstorder_Uniformity	6.76	0.17
wavelet_LLL_firstorder_Minimum	0.01	0.00
wavelet_LLL_glrlm_GrayLevelNonUniformityNormalized	−5.61	0.28