remove confusion

README.md

@@ -58,7 +58,7 @@ The classification task for v1 is split into two stages:
 2. Website features model
     - **98.4% accurate** on training data, and **98.9% accurate** on validation data
     - 911,180 rows of 42 features
-    - evaluation from v2: slightly biased towards the URL feature (bert_confidence) model more than the other columns
+    - evaluation from v2: slightly biased towards the URL feature (bert_confidence) more than the other columns
 
 ## Training
 I applied cross-validation with `cv=5` to the training dataset to search for the best hyperparameters.