in this paper we studied two methods i,e., the information gain and the bayesian conditional expetation classification. these two methods are used to classify the information from the existing data. the bayesian conditional expection is an improvement from the naive bayesian clasification. on the bayesian clasification, we use the maximum conditional expectational of the information gain for the preliminary steps we cleaned and categorized the data for obataining useful information then we analyzed the clasification analysis which is deduced from decision tree to assess the existing