# onehotencoder random forest

In a Random Forest context, do I need to setup dummies/OnehotEncoder in a dataset where features/varibles are numerical but refer to some kind of category?

Let's say I have the following variables:

Where Y is the variable I want to predict. X's are features.

I will focus on X1. Its numerical but refers to a specific category (i.e. 1 refers to math, 2 refers to literature and 3 for history). Do I need to apply OnehotEncoder (or dummy approach) for a Random Forest algoritm?

I guess I don't need to do it, but I 'm not sure.