From fae8f1a50f208f0d0499fa56bb5a341d582a52c8 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Andr=C3=A9=20Almeida?= Date: Thu, 9 May 2019 07:48:54 -0700 Subject: [PATCH] Update README.md --- README.md | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 5ff7425..469aab2 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,7 @@ This repository have two different exercises in erlang: -1. Decision tree that maximizes the optimal point and consequently provides decision support based on the assumptions provided. +**1. **Decision tree that maximizes the optimal point and consequently provides decision support based on the assumptions provided. * The probability of making a medication/treatment 1 and use is OK of 42%; * One possibility of making a medication/treatment 1 and of the user staying KO is 22.5%; @@ -13,7 +13,10 @@ This repository have two different exercises in erlang: ![alt text](https://i.postimg.cc/5207cpvs/Captura-de-ecr-2019-04-09-s-13-06-01.png) -2. There are ways to get the probabilities knowing certain parameters (they do not indicate the optimal point, but calculate a probability of success depending on the existing resources) - using the baysian networks. + + + +**2. **There are ways to get the probabilities knowing certain parameters (they do not indicate the optimal point, but calculate a probability of success depending on the existing resources) - using the baysian networks. What is the probability of giving the patient M2 and is OK, knowing that: