Re: Important features for each fold

> 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).

Cheers, Peter
-- 
Peter Reutemann
Dept. of Computer Science
University of Waikato, Hamilton, NZ
Mobile +64 22 190 2375
https://www.cs.waikato.ac.nz/~fracpete/
http://www.data-mining.co.nz/
_______________________________________________
Wekalist mailing list -- [email protected]
Send posts to [email protected]
To unsubscribe send an email to [email protected]
To subscribe, unsubscribe, etc., visit https://list.waikato.ac.nz/postorius/lists/wekalist.list.waikato.ac.nz
List etiquette: http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html