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Fig. 2 | Journal of Translational Medicine

Fig. 2

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

Fig. 2

The ROC curves and average AUC of the machine learning models. K-fold cross validation (k = 5) was used to estimate and compare the performance of different machine learning models. After five rounds of training/validation rotation, the average AUC was calculated. a The support vector machine (SVM) model. b The logistic regression (LR) model. c The multi-layer perceptron (MLP) model. d The random forest (RF) model. ROC curve, receiver operating characteristic curve. AUC area under the curve

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