Probability, Calibration, Machine Learning, Data Science, Model Tuning.
machine learning models, all aimed at refining the model’s predicted probabilities to better match the actual probabilities of events. This process, known as model calibration, is vital for ensuring that the predicted probabilities offer precise estimates of outcome likelihoods, thereby enhancing