Explain Bayes formula with an appropriate example.
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Bayes' theorem (also known as Bayes' rule or Bayes' law) is a result in probabil- ity theory that relates conditional probabilities. If A and B denote two events, P(A. | B) denotes the conditional probability of A occurring, given that B occurs.
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Bayes' Formula
Bayes' formula is an important method for computing conditional probabilities. It is often used to compute posterior probabilities (as opposed to priorior probabilities) given observations. For example, a patient is observed to have a certain symptom, and Bayes' formula can be used to compute the probability that a diagnosis is correct, given that observation.
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