Model calibration curve
EVENTS
The S-shaped calibration curve indicates a good consistency between the predicted probability of the model and the actual observed values. When the predicted probability approaches 0, the actual proportion of observed events also approaches 0; When the predicted probability approaches 1, the actual proportion of observed events also approaches 1. In this case, the model has good predictive ability and can accurately reflect the probability of events occurring.By observing the calibration curve, we can draw the following conclusion: if the calibration curve is close to the ideal diagonal, it indicates that the predicted probability of the model is highly consistent with the actual observed values, and the model has good calibration performance (Fig. Calibration curve of random forest model