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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

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Lei Hou
Lei Hou 2020 年 2 月 14 日
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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