# Probabilistic Classification Function

(Redirected from Learned Classifier)

A Probabilistic Classification Function is a predictive classification function that is a discrete probability function.

**AKA:**Probabilistic Classifier.**Context:****range:**a Confidence Measure that is a Probability Value..- It can range from being a Heuristic Probabilistic Classifier to being a Trained Probabilistic Classifier (though supervised classification).

**Example(s):**- a Bloom Filter.
- a Probabilistic Decision Tree.
- a Logistic Model.
- one that predicts a Random Experiment Outcome for a Categorical Random Experiment.
- …

**Counter-Example(s):****See:**Model-based Supervised Classification Algorithm.