Overview
Classification Models are often the easiest models to get an uncertainty score. As a simple example the logistic regression assigns a number between {% 0 %} and {% 1 %} for each record, with {% 1 %} representing membership in the category in question. In this case, it easy to assume that the model is most uncertain when it returns a value of {% 0.5 %}.