A Naive Bayes Classifier Plug-In for DataEngine
Christian Borgelt · 2004
: Naive Bayes classifiers are an old and wellknown type of classifiers that can be seen as a special type of probabilistic networks. They use a probabilistic approach to assign a class to a case or an object and can easily be induced from a dataset of sample cases. In this paper I review this technique in order to demonstrate its simplicity and its power to produce comprehensible results. Since the task to induce a classifier from data turns up frequently in applications (e.g. credit assessment, disease detection etc.) a commercial data analysis tool should provide an implementation of this technique. Nevertheless, the wellknown data analysis program DataEngine tm has until recently suffered from lacking such a module. This drawback is now removed by a plug-in consisting of a set of user-defined function blocks I implemented. 1 Introduction Naive Bayes classifiers [3, 2, 4, 5] are an old and wellknown type of classifiers. Classifiers, in turn, are programs which automatically classi...