Probability, Calibration, Machine Learning, Data Science, Model Tuning.
outcomes. In contexts like insurance where accurate probabilities are crucial, this calibration process becomes indispensable. However, it’s important to acknowledge that this process may impact the model’s performance, necessitating a trade-off between accuracy and calibration.