A Comparative Performance Analysis of Classifications Methods in Data mining On Medical data set using the weak tool

Abstracts We can se e our surrounding many diseases are spread due to many reasons and every diseases have some sytsemous and treatments .due to theses dieses many people are affected Thus we need data mining to store the data . we are using the electronic devices to store the information they have ability to save the very large amount of information so that to operate the information manually is very difficult and time consuming thus we use the data mining. Data mining holds great potential for the medical industry to enable health systems to systematically use data and analytics to identify inefficiencies and best practices that improve care and reduce costs. Some experts believe the opportunities to improve care and reduce costs concurrently could apply to as much as 30% of overall healthcare spending. . Classification is one of them technique of data mining, which used to predefine classification data. Weka is a tool which has allowed the users to analysis the data. In this paper, we are analysis various classification methods (classification by decision tree, Bayesian classification, neural network) and compare them using weka then we provide that which methods is better for users.