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Table 2 Classification table of random forest method and SVM

From: LC-MS/MS based metabolomics and proteomics reveal candidate biomarkers and molecular mechanism of early IgA nephropathy

Random forest classification,

accuracy = 100%, N = 51

 

Health

IgAN

Health

18

0

IgAN

0

33

Support vector machine classification,

accuracy = 100%,N = 51

 

Health

IgAN

Health

18

0

IgAN

0

33