Conditional Probability · Bayes' Formula
Lesson 5
Problem. A spam filter checks whether an email contains the word \(\texttt{discount}\). Assume that \(20\%\) of all emails are spam, \(60\%\) of spam emails contain this word, and \(10\%\) of non-spam emails contain it. What is the probability that an email is spam, given that it contains \(\texttt{discount}\)?
5 points