Probabilistic Classification Function: Difference between revisions

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#REDIRECT [[Learned Classifier]]
A [[Probabilistic Classification Function]] is a [[predictive classification function]] that is a [[discrete probability function]].
* <B>AKA:</B> [[Probabilistic Classification Function|Probabilistic Classifier]].
* <B>Context</U>:</B>
** <B>[[Function Range|range]]:</B> 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]]).
* <B>Example(s):</B>
** a [[Bloom Filter]].
** a [[Probabilistic Decision Tree]].
** a [[Logistic Model]].
** one that predicts a [[Random Experiment Outcome]] for a [[Categorical Random Experiment]].
** …
* <B>Counter-Example(s):</B>
** a [[Heuristic Classifier]].
** a [[Deterministic Classifier]].
** a [[Predictive Ranking Function]].
** a [[Point Estimator]].
* <B>See:</B> [[Model-based Supervised Classification Algorithm]].
 
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[[Category:Concept]]

Latest revision as of 13:27, 2 August 2022