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The index set of the samples is defined as J={1,…,m}, with “m” the number of samples.
The probability of category “t” in the feature “i” given class “c” is estimated as:
where is the number of times category t appears in the samples “xi,” which belong to the class “ci.” is the number of samples with class c, α is a smoothing parameter, and ni is the number of available categories of feature i.
The pseudocode for the NB classifier is described in Textbox 1.
JMIR Form Res 2023;7:e45434
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