Dear R-Help,
I'm dealing with a supervized binary classification issue. My dataset is
composed of 1500 individuals, living in 600 households. I have
approximately 4000 variables to classify my subjects as
"infected/uninfected".
I was wondering how would it be possible to account for the hierarchical
nature of my data in a data mining classification method, such as CART,
MARS or other methods, as it is done for instance in mixed-effects models ?
I suppose that the hierarchical structure of the data cannot be ignored,
because the risk of a individual to be infected is higher is there is
already an infected individual in his household.
Thank you
Yohann Mansiaux
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