From ad8bfe93fb2cd27d70a8a98d6a5e969b86166552 Mon Sep 17 00:00:00 2001 From: Aaron Meese Date: Mon, 30 Oct 2017 11:12:59 -0500 Subject: [PATCH] Update README.md Capitalized Ruby --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index bf0abec..2f50dfd 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # Decision Tree -A ruby library which implements ID3 (information gain) algorithm for decision tree learning. Currently, continuous and discrete datasets can be learned. +A Ruby library which implements ID3 (information gain) algorithm for decision tree learning. Currently, continuous and discrete datasets can be learned. - Discrete model assumes unique labels & can be graphed and converted into a png for visual analysis - Continuous looks at all possible values for a variable and iteratively chooses the best threshold between all possible assignments. This results in a binary tree which is partitioned by the threshold at every step. (e.g. temperate > 20C)