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Fig. 6 | Clinical Proteomics

Fig. 6

From: Proteomic characteristics and diagnostic potential of exhaled breath particles in patients with COVID-19

Fig. 6

Random forest machine learning model classification of EBP data to predict COVID-19 disease status. A Scaled variable importance for the classification model ranked by mean decrease in accuracy of the model. B Receiver operating characteristics of the random forest model in the training cohort. C Outcome of the model on the test cohort shown as predicted value for COVID-19 status with 1.0 as certain and < 0.5 as negative for COVID-19. Only one sample was misclassified by the model

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Clinical Proteomics

ISSN: 1559-0275