Probability, Calibration, Machine Learning, Data Science, Model Tuning.
output probabilities are meaningful and interpretable, there are situations where calibration might not be crucial. For instance, consider a scenario where a model is tasked with ranking the quality of news article titles. Here, the goal may be simple: to identify the title with the highest score,