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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