From 4862fc4766efbf13cd086348a6176c904c0e370a Mon Sep 17 00:00:00 2001
From: salunkheketki19 <32463434+salunkheketki19@users.noreply.github.com>
Date: Sat, 27 Oct 2018 20:00:58 +0530
Subject: [PATCH] Update README.md

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index adb1c41..692304f 100644
--- a/README.md
+++ b/README.md
@@ -13,7 +13,7 @@ A Ruby library which implements [ID3 (information gain)](https://en.wikipedia.or
 
 ## Implementation
 
-- Ruleset is a class that trains an ID3Tree with 2/3 of the training data, converts it into a set of rules and prunes the rules with the remaining 1/3 of the training data (in a [C4.5](https://en.wikipedia.org/wiki/C4.5_algorithm) way).
+- Ruleset is a class that trains an ID3Tree with 2/3 of the training data, converts it into set of rules and prunes the rules with the remaining 1/3 of the training data (in a [C4.5](https://en.wikipedia.org/wiki/C4.5_algorithm) way).
 - Bagging is a bagging-based trainer (quite obvious), which trains 10 Ruleset trainers and when predicting chooses the best output based on voting.
 
 [Blog post with explanation & examples](http://www.igvita.com/2007/04/16/decision-tree-learning-in-ruby/)