Fig. 6

Validation of the prognostic model for NSCLC patients using external datasets. A–C Kaplan–Meier curves and ROC curves for the overall survival of NSCLC in three GEO datasets. D Validation of the correlation of risk scores and clinical characteristics in external datasets. E The distribution of risk scores and the relationship between risk scores and survival times in GEO datasets. F Receiver operating characteristic curve of the combined risk models for the prognosis of NSCLC with the mean AUC value 0.784. G Variable importance of risk scores and clinical variables of predicting the prognosis of NSCLC. Mean decrease accuracy represents the decrease of accuracy in the model when one variable is excluded, and mean decrease Gini represents the specific diagnostic capabilities of variables in the construction of the predicting model. *p < 0.05; **p < 0.01; ***p < 0.001