Skip to main content

Table 2 Performance of utilizing variable numbers of clinical 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 7 62.17 55.56 69.02
Random forest 6 63.91 60.68 67.26
SVM 3 60.87 50 78.72
Naïve Bayes 7 62.61 41.03 84.96