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Fig. 2 | Cancer Cell International

Fig. 2

From: A novel model for predicting immunotherapy response and prognosis in NSCLC patients

Fig. 2

Comparison of predictive accuracy between the RF model and the Nomogram model for assessing ICIs efficacy in NSCLC patients. A–B ROC curves of the RF model and the Nomogram model in the training (A) and validation cohorts (B). C–D DCA for the RF model compared with the Nomogram model in the Training (C) and validation cohorts (D). The black horizontal line indicates the net benefit in the scenario where it is assumed that none of the NSCLC patients will experience any outcome. E–H ClC for the RF model and the Nomogram model. E, F show the training cohort and G, H shows the validation cohort. The red line, representing the count of high-risk individuals, shows the quantity of people the model categorizes as positive (high-risk) at every threshold probability. The blue line, denoting the number of high-risk individuals with actual positive outcomes, indicates the number of truly positive cases at each threshold probability

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