diff --git a/README.md b/README.md
index d91a838dd28a6f957b26cf322afc357c26fce5da..6d6383dcee77f8cf092b4b7a98f8fb176ce9deb1 100644
--- a/README.md
+++ b/README.md
@@ -17,6 +17,8 @@ All the code can be found on the python file knn.py
 Here is the graph of the accuracy of my knn code epending on the value of k for the Cifar dataset with a split factor of 0.9:
 ![knn](results/knn.png)
 
+Here we can conclude that the best K is 5, (if we don't use k = 1)  with a performace of 34,5% of accuracy.
+
 ## Artificial Neural Network
 
 ### Maths