Rain Forest is a scalable algorithm for decision tree induction. Develop a scalable na¨ive Bayesian classification algorithm that requires just a single scan of the entire data set for most databases. Discuss whether such an algorithm can be refined to incorporate boosting to further enhance its classification accuracy.