diff --git a/preprocess.py b/preprocess.py
index 5c89aa0f0826db1e658f704f396219a2bdb350ef..1af00d4e5e351e00ddd8b2991da9782ff45ad883 100644
--- a/preprocess.py
+++ b/preprocess.py
@@ -53,7 +53,7 @@ df_kidney.info()
 
 nan_count = df_kidney[df_kidney.isna().any(axis=1)].shape[0]
 print(f"Number of rows : {len(df_kidney)}")
-print(f"Number of rows with at least one NaN value: {nan_count}")
+print(f"Number of rows with at least one NAN value: {nan_count}")
 print(f"{round(nan_count/len(df_kidney) * 100)}% of our rows have at least one"
       f" missing value")