Naïve Bayes Model for Analysis of Voting Rate Failure in Election System

Abstract

These days several exercises are striking the engineering perspectives on non-engineering domain and it is major challenging too for the engineering community. One such non-engineering domain is prediction of the results in election system. So many factors like literacy, rainfall, population and so on may affect the results in election systems. Certainly there are some parameters which are relatively dependent on each other. In this connection, this paper tried to design a probabilistic model to analyze failure voting rates in election system by involving one of the strongest baye’s model called as Naïve Bayes Model.