Is your non-nominal data "text" or "numerical"? There are operators that change text to nominal, numerical to polynomial. So you can select based on your type of data.
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jacobcybulskiMember, University ProfessorPosts: 391 Unicorn
If your attribute is text, perhaps there is a good reason why it is not nominal, e.g. it may have several thousand possible values. If this is so, I'd first parse the text (e.g. with Process Documents) and create a large collection of term-attributes. If at the end you decide you have too many, you could weight them against the label and select top k based on these weights.
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Is your non-nominal data "text" or "numerical"? There are operators that change text to nominal, numerical to polynomial. So you can select based on your type of data.
Thanks,
Varun
Varun
https://www.varunmandalapu.com/
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