Probability, Calibration, Machine Learning, Data Science, Model Tuning.
There are techniques to expand this to multi-class. Various calibration techniques, such as Platt scaling, or isotonic regression can be employed to achieve this goal. By calibrating the model’s predicted probabilities, data scientists can improve the model’s performance and make more informed