European Journal of Molecular & Clinical Medicine

Abstract

Data mining has become a usually utilized strategy for the examination of hierarchical information, for motivations behind summing up information in valuable manners and recognizing non-insignificant examples and connections in the information. The paper presents consequences of exploration on impact of information discretization on proficiency of Naive Bayes classifier. The investigation has been carried on datasets established on writings of two male and two female writers utilizing the WEKA Data mining programming system. The paired grouping was performed independently for both datasets for wide scope of boundaries of discretization measure so as to examine reliance between methods of discretization and nature of arrangement utilizing Naive Bayes technique. The mathematical aftereffects of tests have been thought about and examined and a few perceptions and ends planned