this paper we propose a method of induction of decision tables from data using a Bayesian Network framework. In the ensuing section we discuss the key ideas of our graphical models. We then describe the dataset used for this study, the algorithms used, and the experimental set up. Next we present our results and discuss the significance of our induction approach and compare it with related work. Finally, we conclude by summarizing our contributions