Probabilistic Classification Function: Difference between revisions
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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
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.