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12. Algorithm Summary > Bayesian Classifier

Bayesian Classifier

Bayesian classifiers were covered in Chapter 6. In that chapter, you saw how to create a document classification system, such as those used for spam filtering or dividing up a set of documents based on an ambiguous keyword search.

Although all the examples dealt with documents, the Bayesian classifier described in Chapter 6 will work on any dataset that can be turned into lists of features. A feature is simply something that is either present or absent for a given item. In the case of documents, the features are the words in the document, but they could also be characteristics of an unidentified object, symptoms of a disease, or anything else that can be said to be present of absent.


  

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