Fig. 7 | Scientific Reports

Fig. 7

From: Identification of potential pathogenic genes associated with the comorbidity of rheumatoid arthritis and renal fibrosis using bioinformatics and machine learning

Fig. 7

Verification of diagnostic efficacy of model in the test set. (A) Risk distribution of RF and healthy control group in the RF test set. (B) Use calibration curves to evaluate the predictive ability of the model in the RF test set. (C) DCA evaluates the clinical benefits of the model for the RF test set. (D) ROC curve evaluates the diagnostic efficacy of the model in the RF test set. (E) Risk distribution of RA and healthy control group in the RA test set. (F) Use calibration curves to evaluate the predictive ability of the model in the RA test set. (G) DCA evaluates the clinical benefits of the model for the RA test set. (H) ROC curve evaluates the diagnostic efficacy of the model in the RA test set. ***P < 0.001;****P < 0.0001.

Back to article page