Question: Rain Forest is a scalable algorithm for decision tree induction. Develop a scalable nave Bayesian classification algorithm that requires just a single scan of the
Rain Forest is a scalable algorithm for decision tree induction. Develop a scalable naïve 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.
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On a single scan of the database for each attribute value we collect the following table of c... View full answer
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