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Building a ML classifier on dentistry payment plans data using C#

I prefer the Naive Bayes approach, because while having small set of data, it seems to make better decisions than I did in many cases. Also, the other type of classifier seems to do better on clear-cut cases, but doesn't seem to handle uncertainty so well. In addition,  the naive Bayes classifier corresponds to a linear classifier in a particular feature space.

                                                  Main Program
Text Pre-processing Class
 Naive Bayes Class

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