We consider a classification problem in which the class Y of a data record is determined using a naïve Bayes classifier based on two categorical attributes X1 and X2. We assume that the possible values of each attribute are {unsatisfactory, average, good, excellent}. What will be a possible problem if, for a particular class Y=c, the value of X1 is always equal to the value of X2?

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Intelligent Machines

Machines that use artificial intelligence to learn from the environment and past experiences to perform better in the presence of variability and uncertainty are called intelligent machines. Intelligence develops according to environment and experience. It is human-like behavior. When the computer system or any programmed machine learns from the inputs and corresponding outputs, it can be called an intelligent machine.