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I have the following data:

Rank    Platforms        Technology

high    Windows||Linux   Unity
high    Linux             
low     Windows          Unreal 
low     Linux||MacOs     GameMakerStudio||Unity||Unreal
low                      GameMakerStudio

Both Platforms and Technology are categorical variables and each row can have one, or multiple, or Empty value.

How do I go about building a logistic regression model that predict the Rank as high or low in R?

I am thinking to separate the variable into multiple Boolean variables: like is_windows = [true, false], is_mac = [true, false],etc... However, for Technology, there are about 21 unique values.

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Use One Hot Encoding. Here a link to tutorial. It's in python, but you should get the idea. It's pretty basic stuff, so I guess it should be available in some R package.

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  • $\begingroup$ Hi @Piotr Rarus, that works for variable that has one value a time. Not multiple values $\endgroup$ – hydradon Nov 18 at 23:23
  • $\begingroup$ Not really. Consider technologies: GameMakerStudio, Unity, Unreal. Our record has all these values, so you just code it as [1, 1, 1]. You must be mistaking it for label encoding. $\endgroup$ – Piotr Rarus - Reinstate Monica Nov 19 at 8:19
  • $\begingroup$ could you post a full working example? Thank you $\endgroup$ – hydradon Nov 19 at 14:13
  • $\begingroup$ Check this $\endgroup$ – Piotr Rarus - Reinstate Monica Nov 19 at 14:52

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