Some of the things I've learned every day since Oct 10, 2016
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December 27, 2016Posted by on
As used in machine learning, the term probabilistic classifier refers to a function , where is the set of objects to be classified, is the set of classes, and is the set of probability distributions over . That is, a probabilistic classifier takes an object to be classified and gives the probability of that object belonging to each of the possible classes.
This contrasts with a non-probabilistic classifier, which instead is simply a function that assigns a single class given an object. Often, the choice is simply that category with the highest probability.