Re: Shrinkage value above 1 AMT
Eibe Frank <[email protected]>
| Newsgroups | gmane.comp.ai.weka |
|---|---|
| Message-ID | <CADehzLWxhe7DOnCa9+Do_4o=_Yq3gU9D8bv6bQVGTP4+1qUyCA@mail.gmail.com> |
Interesting. Shrinkage values > 1 don't immediately make sense to me. They imply that every time a linear regression model has been fitted to the residuals remaining from the previous iteration, this model's predictions are multiplied by a value > 1 before the residuals to be fitted by the linear model(s) in the next iteration of "boosting" are computed. Cheers, Eibe On Fri, Apr 30, 2021 at 11:22 AM bujarra <[email protected]> wrote: > Hi, > > Does it make sense to set the shrinkage value above 1 in AMT (I even get > better results with a value of 1.1-1.4?. Which is the unit of this > parameter? > > > > -- > Sent from: https://weka.8497.n7.nabble.com/ > _______________________________________________ > 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 > _______________________________________________ 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