In
machine learning, a
probabilistic classifier is a
classifier that is able to predict, given a sample input, a
probability distribution over a
set of classes, rather than only outputting the most likely class that the sample should belong to. Probabilistic classifiers provide classification with a degree of certainty, which can be useful in its own right, or when combining classifiers into
ensembles.