6.6The Idea In a Nutshell

Consider Figure??. We can classify data by building a model of how the data was generated. For NB we first decide whether we will generate a data-item from classY= 0or classY= 1. Given that decision we generate the valuesfor_D_attributes independently. Each class has a different model for generating attributes. Classification is achieved by computing which model was more likely to generate the new data-point, biasing the outcome towards the class that is expected to generate more data.

32CHAPTER6. THENAIVEBAYESIANCLASSIFIER

Chapter 7