In statistical classification, the Bayes classifier is the classifier having the smallest probability of misclassification of all classes using the same set of features. == Definition == Suppose a pair ( X , Y ) {\displaystyle (X,Y)} takes values in R d × { 1 , 2 , … , K } {\displaystyle \mathbb {R} ^{d}\times \{1,2,\dots ,K\}} , where Y {\displaystyle Y} is the class label of an element whose features are given by X {\displaystyle X} .
In statistical classification, the Bayes classifier is the classifier having the smallest probability of misclassification of all classes using the same set of features. == Definition == Suppose a pair ( X , Y ) {\displaystyle (X,Y)} takes values in R d × { 1 , 2 , … , K } {\displaystyle \mathbb {R} ^{d}\times \{1,2,\dots ,K\}} , where Y {\displaystyle Y} is the class label of an element whose features are given by X {\displaystyle X} .
Source: Wikipedia "Bayes classifier" · CC BY-SA 4.0
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