"declared id attributes used in clustering?"
Hi, can anyone help with the following questions pls?
Is a (numeric) attribute whose role is declared to be id, used by default by the software in building clusters (by the attribute participating in the computation of distances. etc)? What about building a supervised learning model as a:
- decision tree - does the implemented algorithm compute by default the gain ratio for an id attribute?
- naive bayes classifiers - does the algorithm compute conditional probabilities (and implicitly sample means and standard deviations) in the case of the declared id attribute?
cheers
Is a (numeric) attribute whose role is declared to be id, used by default by the software in building clusters (by the attribute participating in the computation of distances. etc)? What about building a supervised learning model as a:
- decision tree - does the implemented algorithm compute by default the gain ratio for an id attribute?
- naive bayes classifiers - does the algorithm compute conditional probabilities (and implicitly sample means and standard deviations) in the case of the declared id attribute?
cheers
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Answers
Same here as for clustering.
No, this will not happen.
Dito.
Cheers,
Ingo