One hit encoding Decision Tree Data Preprocessing data


I did not understand how we use features that were one hot encoded in decision tree. How to do they split at each node with calculating information gain.

Hi @Aman6
Original Dataset:

Numeric Category
5 Red
8 Blue
3 Green
6 Yellow
After One-Hot Encoding and Removing the “Category” Column:
Numeric Red Blue Green Yellow
5 1 0 0 0
8 0 1 0 0
3 0 0 1 0
6 0 0 0 1

after we convet the data we deal with it like any another dataset