1. We know that Bayes rule is P(Ck|x) = P(x|Ck)P(Ck) P(x) (1) Assume we have a binary classification problem, where a certain disease has to be classified as a Viral (class Co) or Bacterial (class C1) infection. You are a data scientist who uses a certain Machine Learning algorithm to classify a person, based on the features which include the observed symptoms which are cap- tured in the data vector x. In this context, describe what each of P(Co|x), P(x\Co), P(Co) means to your patients. (5 points)