diff --git a/kmeans_clustering.py b/kmeans_clustering.py
index 60a12d0..bee1e12 100644
--- a/kmeans_clustering.py
+++ b/kmeans_clustering.py
@@ -30,7 +30,7 @@
 # Applying KMeans to the dataset with the optimal number of cluster
 
 kmeans=KMeans(n_clusters= 5, init = 'k-means++', max_iter = 300, n_init = 10, random_state = 0)
-y_kmeans = kmeans.fit_predict(X)
+Y_Kmeans = kmeans.fit_predict(X)
 
 # Visualising the clusters
 
@@ -50,4 +50,4 @@
 plt.xlabel('Annual Income (k$)')
 plt.ylabel('Spending score (1-100)')
 plt.legend()
-plt.show()
\ No newline at end of file
+plt.show()