Probabilistic Classification Function: Difference between revisions

Latest revision as of 13:27, 2 August 2022

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.

@@ Line 1: / Line 1: @@
-#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]].
+----
+----
 __NOTOC__
+[[Category:Concept]]