Probability, Calibration, Machine Learning, Data Science, Model Tuning.
the model’s reliability and efficacy. Essentially, during model calibration, we construct a curve illustrating the probabilities for each bin relative to the true conditions. The difference between this curve and the linear probability line can be used as a metric to assess calibration performance.