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There are a few options (~100) that are neither boolean nor tristate (numerical or strings).
We choose to remove them, which is reasonable due to the number of features we already have.
Yet we may have missed an opportunity.
@HugoJPMartin can you give the precise list of options that we remove in the first place?
- qualitative analysis of these options (mainly to understand whether they can matter wrt size)
- some non-Boolean and non-tristate options can be "categorical": we could analyse their values in the dataset (I'm think about string options that take, says, 3 values in the dataset)
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