diff --git a/run.py b/run.py
index 1117903..e447d1b 100644
--- a/run.py
+++ b/run.py
@@ -63,10 +63,10 @@ model_len = len(model)
 for index, words_1_3 in enumerate(model):
     if index % 100000 == 0:
         print(f'normalizacja: {index / model_len}')
-    occurences = sum(model[words_1_3].values())
+    occurrences = sum(model[words_1_3].values())
     for word_2 in model[words_1_3]:
         model[words_1_3][word_2] += alpha
-        model[words_1_3][word_2] /= float(occurences + alpha + len(word_2))
+        model[words_1_3][word_2] /= float(occurrences + alpha + len(word_2))
 
 
 make_prediction('test-A')