Question: Exercise 7.13 Give an example where a naive Bayesian classifier can give inconsistent results when using empirical frequencies as probabilities. [Hint: You require two features,
Exercise 7.13 Give an example where a naive Bayesian classifier can give inconsistent results when using empirical frequencies as probabilities. [Hint: You require two features, say A and B, and a binary classification, say C, that has domain
{0, 1}. Construct a data set where the empirical probabilities give P(a|C = 0) = 0 and P(b|C = 1) = 0.] What observation is inconsistent with the model?
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