That could be a whole lot of new binary variables. Your resulting dataset will probably be sparse (numerous zeros). Element selection prior may be a good suggestion, also consider immediately after.
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what to do with correlated features? need to we change them to something new? a mix it's possible? How can it have an impact on our modeling and prediction? appreciated if you direct me into some methods to check and find it out.
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You are able to embed unique models in RFE and find out if the final results explain to exactly the same or various stories with regard to what features to choose.
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Each individual of these characteristic variety algo employs some predefined variety like three in case of PCA.So how we arrive at are aware that my facts established cantain only 3 or any predefined range of options.it does not mechanically decide on no functions its have.