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Table 4 Performance of utilizing variable numbers of genetic features in different classifiers 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

4

60.43

54.70

66.37

Random forest

12

53.91

59.83

47.79

SVM

13

53.04

67.65

31.9

Naïve Bayes

13

56.09

58.12

53.98

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BMC Bioinformatics

ISSN: 1471-2105

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