Choose of wart treatment method using Naive Bayes and k-nearest neighbors classifiers

Abstract

In this study, the success of cyrotheraphy and immunotherapy methods on common warts and plantar warts were predicted among 180 patients using machine learning methods. As a classifier, Naive Bayes and k-nearest neighbors with different neighborhood values of k were experimented. Data sets that are online available via Internet were used in the study. As a result, whether the treatment method by considering given features will give positive result could be estimated with the accuracy of 80% by using k-nearest neighbors classifier with the neighborhood value of k=7.