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Creating numerical variables from categorical variables in an unbalanced dataset

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Hello there,
I would like to apply Random Forrest method in a highly unbalanced dataset that includes both numerical and categoorical variables.In order to improve my classification results, before applying the method for classification I thought to create synthtic datasets using the SMOTE and the ADASYN algorithm. However, both methods work only with numerical variables, therefore, I would like to ask if you have any suggestion regarding the way to transform my categorical variables into numerical ones.
With many thanks in advance for your help

Accepted Answer

Lei Hou
Lei Hou on 14 Feb 2020
Hi Grigorios,
You can do something as the following.
catVar = categorical(["a" "b" "c" "b" "a"]);
numValue = [0.1 3 100]; % The order of numbers refers to the order of categories returned by categories(catVar)
numVar = numValue(catVar)
Hoping my solution helpful to you.

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