Re: Important features for each fold

> On Feb 13, 2023, at 9:09 PM, Peter Reutemann <[email protected]> wrote:
> 
>> How can we get features selection for each fold of the cross validation. I think it was possible in the earlier version of weka explorer but I cannot see the option now.
> 
> I'm not aware of such an option ever being available. The Attribute
> selection tab in the Weka Explorer only gives you the summary of how
> often an attribute was selected during cross-validation (when using
> subset evals) or the average rank/merit when performing ranking.
> 
> For your desired output, you would have to simulate cross-validation
> yourself, generate train/test splits, perform attribute selection on
> the train split and record the selected attribute indices.
> That's something you can do with Jython, Groovy or python-weka-wrapper3.
> ADAMS comes with a flow that performs repeated CV on a user-selected
> dataset, populating a table with information on whether an attribute
> was selected or not
> (adams-weka-attribute_selection_simulated_cv.flow).
> 

I thought I remembered something being available per fold with KnowledgeFlow but could be mistaken.

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