info about ordinal encoding 2

ch04/ch04.ipynb

@@ -1661,7 +1661,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "If we are unsure about the numerical differences between the categories of ordinal features, we can also encode them using a thresholded one-hot encoded format. For example, we can split the feature \"size\" with values M, L, and XL into two new features \"x > M\" and \"x > L\". For example, let's consider the original DataFrame:"
+    "If we are unsure about the numerical differences between the categories of ordinal features, or the difference between two ordinal values is not defined, we can also encode them using a threshold encoding with 0/1 values. For example, we can split the feature \"size\" with values M, L, and XL into two new features \"x > M\" and \"x > L\". Let's consider the original DataFrame:"
    ]
   },
   {