add evaluation

README.md

@@ -54,6 +54,7 @@ The classification task for v1 is split into two stages:
 1. URL features model
     - **96.5%+ accurate** on training and validation data
     - 2,436,727 rows of labelled URLs
+    - evaluation from v2: slightly overfitted
 2. Website features model
     - **98.4% accurate** on training data, and **98.9% accurate** on validation data
     - 911,180 rows of 42 features