From 9703b32effde86e5513503ad6a1a6b955df0fadb Mon Sep 17 00:00:00 2001 From: Anika Tabassum <1936040+atabas@users.noreply.github.com> Date: Sat, 27 Oct 2018 09:21:13 -0400 Subject: [PATCH] Update index.md (#20000) Mention posterior probability for Bayes classifier --- guide/english/machine-learning/bayes-classifier/index.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/guide/english/machine-learning/bayes-classifier/index.md b/guide/english/machine-learning/bayes-classifier/index.md index a53db67ba4..c7389bc094 100644 --- a/guide/english/machine-learning/bayes-classifier/index.md +++ b/guide/english/machine-learning/bayes-classifier/index.md @@ -6,9 +6,9 @@ Bayes Classifier is based on applying Bayes Theorem to update its belief on the ![Bayes Theorem](https://github.com/Cheungo/bayes_theorem_image/blob/master/CodeCogsEqn.gif?raw=true) -Bayes Theorem allows you to compute the probability of B given A, provided you have probabilities for A given B, A, and B. +Bayes Theorem allows you to compute the probability of B given A, provided you have probabilities for A given B, A, and B. Here, P(B|A) is known as the posterior probability. -Bayes Classifier models uncertainty by keeping probabilities for each of the possible scenarios. As more information becomes available, the probabilities are updated to more accurately reflect what is now known about the given situation. +Bayes Classifier models uncertainty by keeping probabilities for each of the possible scenarios. As more information becomes available, the probabilities are updated to more accurately reflect what is now known about the given situation. Bayes classifier chooses the class that has the highest posterior probability. #### Suggested Reading: