Re: Important features for each fold

Eibe Frank <[email protected]> Tue, 14 Feb 2023 20:58:16 +1300
Newsgroups gmane.comp.ai.weka
Message-ID <CADehzLVudDzmVZDbMAOxW+vPTf2rWvr1r1xGZLhrbR16EZJM5A@mail.gmail.com>
If you use the AttributeSelectedClassifier, you will be able to set
whatever attribute selection scheme you want as an option in that
classifier. The selected attributes would then be passed to ZeroR (if you
set that as the base classifier in AttributeSelectedClassifier). The
process would be pointless from a classification point-of-view, but you
would see the selected attributes in the textual description that is
generated.

Cheers,
Eibe

On Tue, 14 Feb 2023 at 19:55, Michael Hall <[email protected]> wrote:

>
>
> On Feb 14, 2023, at 12:36 AM, Eibe Frank <[email protected]> wrote:
>
>  would the fastest way to see all the attribute subsets for each fold.
>
>
> But would it importance rank them? I was thinking if you also had the fold
> accuracy for say RandomForest you could tell which attributes were more
> important to better results. Without that knowing the attributes selected
> wouldn’t give you any idea of the importance. Also, wouldn’t ZeroR always
> use all the attributes, just different subsets of data per fold? You would
> have to use something like RandomForest that uses different attribute
> subsets, no?
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