From a931589c9657e8d79339256383ea6dc915064f56 Mon Sep 17 00:00:00 2001
From: Bart Broere <2715782+bartbroere@users.noreply.github.com>
Date: Mon, 9 Mar 2020 12:41:39 +0100
Subject: [PATCH] Fix typo (#5399)

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

diff --git a/demo/binary_classification/README.md b/demo/binary_classification/README.md
index 6dfdac4f4..8947adf89 100644
--- a/demo/binary_classification/README.md
+++ b/demo/binary_classification/README.md
@@ -156,7 +156,7 @@ If you want to continue boosting from existing model, say 0002.model, use
 ```
 xgboost will load from 0002.model continue boosting for 2 rounds, and save output to continue.model. However, beware that the training and evaluation data specified in mushroom.conf should not change when you use this function.
 #### Use Multi-Threading
-When you are working with a large dataset, you may want to take advantage of parallelism. If your compiler supports OpenMP, xgboost is naturally multi-threaded, to set number of parallel running add ```nthread``` parameter to you configuration.
+When you are working with a large dataset, you may want to take advantage of parallelism. If your compiler supports OpenMP, xgboost is naturally multi-threaded, to set number of parallel running add ```nthread``` parameter to your configuration.
 Eg. ```nthread=10```
 
 Set nthread to be the number of your real cpu (On Unix, this can be found using ```lscpu```)