Probabilistic Classification Function

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):
  • a Heuristic Classifier.
  • a Deterministic Classifier.
  • a Predictive Ranking Function.
  • a Point Estimator.
• See: Model-based Supervised Classification Algorithm.

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