• Posterior: It is the updated probability for given a Hypothesis after getting new data. It is a computed value.
  • Likelihood: This is the probability of the data given the hypothesis.
  • Prior: This is the probability of the hypothesis before we see the data. It’s what we know or believe about the distribution of the classes before any new information is taken into account.
  • Evidence: It is the probability of a data regardless of the hypothesis.