data transformation calibration Philippe Rocca-Serra calibration in statistics refers to the process of ensuring that the predicted probabilities or scores from a statistical model accurately reflect the true probabilities or outcomes observed in the data. It is an essential aspect of predictive modeling to ensure the reliability and interpretability of model predictions, where the goal is to estimate the likelihood of certain events or outcomes. predictive model calibration STATO adapted from ChatGPT3.5 with the following prompt: "define 'calibration' in the context of statistics" ready for release