Missing Value can result in weak prediction accuracy, so it needs to be addressed. The way to deal with lost data is to use the deletion method. This method requires a classification algorithm to select the most influential features. In this study, the University of California Irvine (UCI) heart attack dataset was used which has a weakness, namely it has missing data on several features. This s…