Data Science, Machine Learning, Statistics, Deep Dives, Probability.
predictions. For example, if the probability of belonging to class 1 is 0.6, we might assume the model isn't as confident as with one example whose probability estimate is 0.99. This is a property exhibited by well-calibrated models. This property is advantageous because it allows us to prioritize