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Table 5 Performance of utilizing variable numbers of genetic and clinical features to predict diabetic nephropathy.

From: An interpretable rule-based diagnostic classification of diabetic nephropathy among type 2 diabetes patients

Classifier

No. of features

Accuracy (%)

Sensitivity (%)

Specificity (%)

Decision tree

7

65.22

63.25

67.26

Random forest

25

65.09

60.68

71.68

SVM

7

61.23

66.17

51.06

Naïve Bayes

10

63.91

46.15

82.30