Preliminary study on the application of renal ultrasonography radiomics in the classification of glomerulopathy

BMC Medical Imaging

Table 6 The nephropathy classification performance of four classifiers

Model		Accuracy	AUC	Specificity	sensitivity
Logistic regression	Test set	0.7647	0.7500	0.7500	0.8889
SVM	Test set	0.7059	0.7222	0.7500	0.8889
Random forest	Test set	0.7059	0.7639	0.8750	0.6667
KNN	Test set	0.5294	0.7361	0.8750	0.5556

ISSN: 1471-2342