Today I Learned

Some of the things I've learned every day since Oct 10, 2016

76: Probabilistic Classifiers

As used in machine learning, the term probabilistic classifier refers to a function f: X \rightarrow \pi _Y, where X is the set of objects to be classified, Y is the set of classes, and \pi _Y is the set of probability distributions over Y. 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 g: X \rightarrow Y that assigns a single class given an object. Often, the choice is simply that category with the highest probability.

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