How to divide the dataset into two parts

[asadbtk]

Hi Eibe and Peter, I hope you are well

Is there any easy (and sophisticated) way to divide the arff dataset into two parts using Weka explorer? One part should be 80% and another 20%. 

I want to divide the data into (a) part 1 and (b) part 2.. With part1, I will use the k fold CV to evaluate the performance estimates (i.e. RMSE values). Then I will evaluate the performance on the unseen data (part 2) and calculate their differences. The difference of performance estimates between part1 and part2 data is called the bias of the model.

Kind regards

_______________________________________________
Wekalist mailing list -- [hidden email]
Send posts to [hidden email]
To unsubscribe send an email to [hidden email]
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

[Peter Reutemann]

> Is there any easy (and sophisticated) way to divide the arff dataset into two parts using Weka explorer? One part should be 80% and another 20%.
>
> I want to divide the data into (a) part 1 and (b) part 2.. With part1, I will use the k fold CV to evaluate the performance estimates (i.e. RMSE values). Then I will evaluate the performance on the unseen data (part 2) and calculate their differences. The difference of performance estimates between part1 and part2 data is called the bias of the model.

Use the RemovePercentage filter:
https://weka.sourceforge.io/doc.dev/weka/filters/unsupervised/instance/RemovePercentage.html

Cheers, Peter
--
Peter Reutemann
Dept. of Computer Science
University of Waikato, NZ
[phone]
http://www.cms.waikato.ac.nz/~fracpete/
http://www.data-mining.co.nz/
_______________________________________________
Wekalist mailing list -- [hidden email]
Send posts to [hidden email]
To unsubscribe send an email to [hidden email]
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