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Table 6 The nephropathy classification performance of four classifiers

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

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
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BMC Medical Imaging

ISSN: 1471-2342

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