Fig. 4: Model evaluation of training set. | npj Digital Medicine

Fig. 4: Model evaluation of training set.

From: Interpretable machine learning model for digital lung cancer prescreening in Chinese populations with missing data

Fig. 4

a Calibration curve, with `A' as the intercept and `B' as the slope; b ROC curve, showcasing the AUC; c Decision curve, where the area under the green line signifies the net clinical benefit from universal intervention, the area under the blue line indicates the benefit of refraining from intervention for all, and the area under the red line reflects the net clinical benefit specific to the BOUND model.

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