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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
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BMC Bioinformatics

ISSN: 1471-2105

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