Tag: Naïve Bayes classifier. McNemar test

Comparison of Fuzzy Diagnosis with K-Nearest Neighbor and NaïVe Bayes Classifiers in Disease Diagnosis

The main objective of this paper is to investigate the performance of fuzzy disease diagnosis by comparing its results with two statistical classification methods used in the diagnosis of diseases namely the K-Nearest Neighbor and the Naïve Bayes classifiers. The comparisons were made using the latest XLMiner® and Medcalc® statistical