Posterior Probability - Classification

Classification

In classification posterior probabilities reflect the uncertainty of assessing an observation to particular class, see also Class membership probabilities. While Statistical classification methods by definition generate posterior probabilities, Machine Learners usually supply membership values which do not induce any probabilistic confidence. It is desirable, to transform or re-scale membership values to class membership probabilities, since they are comparable and additionally easier applicable for post-processing.