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Table 3 The performance of the models developed by machine learning to evaluate the risk of pneumonia

From: The study of the association between immune monitoring and pneumonia in kidney transplant recipients through machine learning models

Models Sensitivity (%) Specificity (%) PPV (%) NPV (%) AUC
SVM 81.7 92.0 83.6 91.3 0.940
LR 58.7 99.0 97.5 84.3 0.931
MLP 71.8 92.0 82.7 87.9 0.923
RF 73.6 95.0 88.0 89.2 0.895
  1. PPV positive predictive value, NPV negative predictive value, AUC area under curve, SVM support vector machine, LR logistic regression, MLP multi-layer perceptron, RF random forest